### What changes were proposed in this pull request?
This PR aims to pin the version of `jekyll-redirect-from` to 0.15.0. This is a release blocker for both Apache Spark 3.0.0 and 2.4.5.
### Why are the changes needed?
`jekyll-redirect-from` released 0.16.0 a few days ago and that requires Ruby 2.4.0.
- https://github.com/jekyll/jekyll-redirect-from/releases/tag/v0.16.0
```
$ cd dev/create-release/spark-rm/
$ docker build -t spark:test .
...
ERROR: Error installing jekyll-redirect-from:
jekyll-redirect-from requires Ruby version >= 2.4.0.
...
```
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Manually do the above command to build `spark-rm` Docker image.
```
...
Successfully installed jekyll-redirect-from-0.15.0
Parsing documentation for jekyll-redirect-from-0.15.0
Installing ri documentation for jekyll-redirect-from-0.15.0
Done installing documentation for jekyll-redirect-from after 0 seconds
1 gem installed
Successfully installed rouge-3.15.0
Parsing documentation for rouge-3.15.0
Installing ri documentation for rouge-3.15.0
Done installing documentation for rouge after 4 seconds
1 gem installed
Removing intermediate container e0ec7c77b69f
---> 32dec37291c6
```
Closes#27434 from dongjoon-hyun/SPARK-30704.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to upgrade to Apache ORC 1.5.9.
- For `hive-2.3` profile, we need to upgrade `hive-storage-api` from `2.6.0` to `2.7.1`.
- For `hive-1.2` profile, ORC library with classifier `nohive` already shaded it. So, there is no change.
### Why are the changes needed?
This will bring the latest bug fixes. The following is the full release note.
- https://issues.apache.org/jira/projects/ORC/versions/12346546
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins with the existing tests.
Here is the summary.
1. `Hive 1.2 + Hadoop 2.7` passed. ([here](https://github.com/apache/spark/pull/27421#issuecomment-580924552))
2. `Hive 2.3 + Hadoop 2.7` passed. ([here](https://github.com/apache/spark/pull/27421#issuecomment-580973391))
Closes#27421 from dongjoon-hyun/SPARK-ORC-1.5.9.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to use `python3` instead of `python` in `dev/lint-python`.
### Why are the changes needed?
Currently, `dev/lint-python` fails at Python 2. And, Python 2 is EOL since January 1st 2020.
```
$ python -V
Python 2.7.17
$ dev/lint-python
starting python compilation test...
Python compilation failed with the following errors:
Compiling ./python/setup.py ...
File "./python/setup.py", line 27
file=sys.stderr)
^
SyntaxError: invalid syntax
```
### Does this PR introduce any user-facing change?
No. This is a dev environment.
### How was this patch tested?
Jenkins is running this with Python 3 already.
The following is a manual test.
```
$ python -V
Python 3.8.0
$ dev/lint-python
starting python compilation test...
python compilation succeeded.
```
Closes#27394 from dongjoon-hyun/SPARK-30674.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR removes any dependencies on pypandoc. It also makes related tweaks to the docs README to clarify the dependency on pandoc (not pypandoc).
### Why are the changes needed?
We are using pypandoc to convert the Spark README from Markdown to ReST for PyPI. PyPI now natively supports Markdown, so we don't need pypandoc anymore. The dependency on pypandoc also sometimes causes issues when installing Python packages that depend on PySpark, as described in #18981.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Manually:
```sh
python -m venv venv
source venv/bin/activate
pip install -U pip
cd python/
python setup.py sdist
pip install dist/pyspark-3.0.0.dev0.tar.gz
pyspark --version
```
I also built the PySpark and R API docs with `jekyll` and reviewed them locally.
It would be good if a maintainer could also test this by creating a PySpark distribution and uploading it to [Test PyPI](https://test.pypi.org) to confirm the README looks as it should.
Closes#27376 from nchammas/SPARK-30665-pypandoc.
Authored-by: Nicholas Chammas <nicholas.chammas@liveramp.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
For better JDK11 support, this PR aims to upgrade **Jersey** and **javassist** to `2.30` and `3.35.0-GA` respectively.
### Why are the changes needed?
**Jersey**: This will bring the following `Jersey` updates.
- https://eclipse-ee4j.github.io/jersey.github.io/release-notes/2.30.html
- https://github.com/eclipse-ee4j/jersey/issues/4245 (Java 11 java.desktop module dependency)
**javassist**: This is a transitive dependency from 3.20.0-CR2 to 3.25.0-GA.
- `javassist` officially supports JDK11 from [3.24.0-GA release note](https://github.com/jboss-javassist/javassist/blob/master/Readme.html#L308).
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins with both JDK8 and JDK11.
Closes#27357 from dongjoon-hyun/SPARK-30639.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
Update the scalafmt plugin to 1.0.3 and use its new onlyChangedFiles feature rather than --diff
### Why are the changes needed?
Older versions of the plugin either didn't work with scala 2.13, or got rid of the --diff argument and didn't allow for formatting only changed files
### Does this PR introduce any user-facing change?
The /dev/scalafmt script no longer passes through arbitrary args, instead using the arg to select scala version. The issue here is the plugin name literally contains the scala version, and doesn't appear to have a shorter way to refer to it. If srowen or someone else with better maven-fu has an idea I'm all ears.
### How was this patch tested?
Manually, e.g. edited a file and ran
dev/scalafmt
or
dev/scalafmt 2.13
Closes#27279 from koeninger/SPARK-30570.
Authored-by: cody koeninger <cody@koeninger.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR proposes to redesign pandas UDFs as described in [the proposal](https://docs.google.com/document/d/1-kV0FS_LF2zvaRh_GhkV32Uqksm_Sq8SvnBBmRyxm30/edit?usp=sharing).
```python
from pyspark.sql.functions import pandas_udf
import pandas as pd
pandas_udf("long")
def plug_one(s: pd.Series) -> pd.Series:
return s + 1
spark.range(10).select(plug_one("id")).show()
```
```
+------------+
|plug_one(id)|
+------------+
| 1|
| 2|
| 3|
| 4|
| 5|
| 6|
| 7|
| 8|
| 9|
| 10|
+------------+
```
Note that, this PR address one of the future improvements described [here](https://docs.google.com/document/d/1-kV0FS_LF2zvaRh_GhkV32Uqksm_Sq8SvnBBmRyxm30/edit#heading=h.h3ncjpk6ujqu), "A couple of less-intuitive pandas UDF types" (by zero323) together.
In short,
- Adds new way with type hints as an alternative and experimental way.
```python
pandas_udf(schema='...')
def func(c1: Series, c2: Series) -> DataFrame:
pass
```
- Replace and/or add an alias for three types below from UDF, and make them as separate standalone APIs. So, `pandas_udf` is now consistent with regular `udf`s and other expressions.
`df.mapInPandas(udf)` -replace-> `df.mapInPandas(f, schema)`
`df.groupby.apply(udf)` -alias-> `df.groupby.applyInPandas(f, schema)`
`df.groupby.cogroup.apply(udf)` -replace-> `df.groupby.cogroup.applyInPandas(f, schema)`
*`df.groupby.apply` was added from 2.3 while the other were added in the master only.
- No deprecation for the existing ways for now.
```python
pandas_udf(schema='...', functionType=PandasUDFType.SCALAR)
def func(c1, c2):
pass
```
If users are happy with this, I plan to deprecate the existing way and declare using type hints is not experimental anymore.
One design goal in this PR was that, avoid touching the internal (since we didn't deprecate the old ways for now), but supports type hints with a minimised changes only at the interface.
- Once we deprecate or remove the old ways, I think it requires another refactoring for the internal in the future. At the very least, we should rename internal pandas evaluation types.
- If users find this experimental type hints isn't quite helpful, we should simply revert the changes at the interface level.
### Why are the changes needed?
In order to address old design issues. Please see [the proposal](https://docs.google.com/document/d/1-kV0FS_LF2zvaRh_GhkV32Uqksm_Sq8SvnBBmRyxm30/edit?usp=sharing).
### Does this PR introduce any user-facing change?
For behaviour changes, No.
It adds new ways to use pandas UDFs by using type hints. See below.
**SCALAR**:
```python
pandas_udf(schema='...')
def func(c1: Series, c2: DataFrame) -> Series:
pass # DataFrame represents a struct column
```
**SCALAR_ITER**:
```python
pandas_udf(schema='...')
def func(iter: Iterator[Tuple[Series, DataFrame, ...]]) -> Iterator[Series]:
pass # Same as SCALAR but wrapped by Iterator
```
**GROUPED_AGG**:
```python
pandas_udf(schema='...')
def func(c1: Series, c2: DataFrame) -> int:
pass # DataFrame represents a struct column
```
**GROUPED_MAP**:
This was added in Spark 2.3 as of SPARK-20396. As described above, it keeps the existing behaviour. Additionally, we now have a new alias `groupby.applyInPandas` for `groupby.apply`. See the example below:
```python
def func(pdf):
return pdf
df.groupby("...").applyInPandas(func, schema=df.schema)
```
**MAP_ITER**: this is not a pandas UDF anymore
This was added in Spark 3.0 as of SPARK-28198; and this PR replaces the usages. See the example below:
```python
def func(iter):
for df in iter:
yield df
df.mapInPandas(func, df.schema)
```
**COGROUPED_MAP**: this is not a pandas UDF anymore
This was added in Spark 3.0 as of SPARK-27463; and this PR replaces the usages. See the example below:
```python
def asof_join(left, right):
return pd.merge_asof(left, right, on="...", by="...")
df1.groupby("...").cogroup(df2.groupby("...")).applyInPandas(asof_join, schema="...")
```
### How was this patch tested?
Unittests added and tested against Python 2.7, 3.6 and 3.7.
Closes#27165 from HyukjinKwon/revisit-pandas.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
This pr intends to upgrade lz4-java from 1.7.0 to 1.7.1.
### Why are the changes needed?
This release includes a bug fix for older macOS. You can see the link below for the changes;
https://github.com/lz4/lz4-java/blob/master/CHANGES.md#171
### Does this PR introduce any user-facing change?
### How was this patch tested?
Existing tests.
Closes#27271 from maropu/SPARK-30486.
Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
Update Twitter Chill to 0.9.5.
### Why are the changes needed?
Primarily, Scala 2.13 support for later.
Other changes from 0.9.3 are apparently just minor fixes and improvements:
https://github.com/twitter/chill/releases
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Existing tests
Closes#27227 from srowen/SPARK-29290.
Authored-by: Sean Owen <srowen@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to use `mvn` instead of `sbt` in `dev/scalastyle` to recover GitHub Action.
### Why are the changes needed?
As of now, Apache Spark sbt build is broken by the Maven Central repository policy.
https://stackoverflow.com/questions/59764749/requests-to-http-repo1-maven-org-maven2-return-a-501-https-required-status-an
> Effective January 15, 2020, The Central Maven Repository no longer supports insecure
> communication over plain HTTP and requires that all requests to the repository are
> encrypted over HTTPS.
We can reproduce this locally by the following.
```
$ rm -rf ~/.m2/repository/org/apache/apache/18/
$ build/sbt clean
```
And, in GitHub Action, `lint-scala` is the only one which is using `sbt`.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
First of all, GitHub Action should be recovered.
Also, manually, do the following.
**Without Scalastyle violation**
```
$ dev/scalastyle
OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=384m; support was removed in 8.0
Using `mvn` from path: /usr/local/bin/mvn
Scalastyle checks passed.
```
**With Scalastyle violation**
```
$ dev/scalastyle
OpenJDK 64-Bit Server VM warning: ignoring option MaxPermSize=384m; support was removed in 8.0
Using `mvn` from path: /usr/local/bin/mvn
Scalastyle checks failed at following occurrences:
error file=/Users/dongjoon/PRS/SPARK-HTTP-501/core/src/main/scala/org/apache/spark/SparkConf.scala message=There should be no empty line separating imports in the same group. line=22 column=0
error file=/Users/dongjoon/PRS/SPARK-HTTP-501/core/src/test/scala/org/apache/spark/resource/ResourceProfileSuite.scala message=There should be no empty line separating imports in the same group. line=22 column=0
```
Closes#27242 from dongjoon-hyun/SPARK-30534.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
Enable dependency audit files to tell the value of artifact id, version, and classifier of a dependency.
For example, `avro-mapred-1.8.2-hadoop2.jar` should be expanded to `avro-mapred/1.8.2/hadoop2/avro-mapred-1.8.2-hadoop2.jar` where `avro-mapred` is the artifact id, `1.8.2` is the version, and `haddop2` is the classifier.
### Why are the changes needed?
Dependency audit files are expected to be consumed by automated tests or downstream tools.
However, current dependency audit files under `dev/deps` only show jar names. And there isn't a simple rule on how to parse the jar name to get the values of different fields. For example, `hadoop2` is the classifier of `avro-mapred-1.8.2-hadoop2.jar`, in contrast, `incubating` is the version of `htrace-core-3.1.0-incubating.jar`.
Reference: There is a good example of the downstream tool that would be enabled as yhuai suggested,
> Say we have a Spark application that depends on a third-party dependency `foo`, which pulls in `jackson` as a transient dependency. Unfortunately, `foo` depends on a different version of `jackson` than Spark. So, in the pom of this Spark application, we use the dependency management section to pin the version of `jackson`. By doing this, we are lifting `jackson` to the top-level dependency of my application and I want to have a way to keep tracking what Spark uses. What we can do is to cross-check my Spark application's classpath with what Spark uses. Then, with a test written in my code base, whenever my application bumps Spark version, this test will check what we define in the application and what Spark has, and then remind us to change our application's pom if needed. In my case, I am fine to directly access git to get these audit files.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Code changes are verified by generated dependency audit files naturally. Thus, there are no tests added.
Closes#27177 from mengCareers/depsOptimize.
Lead-authored-by: Xinrong Meng <meng.careers@gmail.com>
Co-authored-by: mengCareers <meng.careers@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
https://github.com/apache/spark/pull/24997 missed to add `pyspark.sql.tests.test_pandas_udf_iter` to `modules.py`. This PR adds it.
### Why are the changes needed?
Currently, Jenkins does not run the test cases. We should run them.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Jenkins should test.
Closes#27141 from HyukjinKwon/SPARK-28198-followup.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
The regex is to exclude the .git folder for the python linter, but bash escaping caused only one forward slash to be included. This adds the necessary second slash.
### Why are the changes needed?
This is necessary to properly match the file separator character.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Manually.
Added File dev/something.git.py and ran `dev/lint-python`
```dev/lint-python
pycodestyle checks failed.
*** Error compiling './dev/something.git.py'...
File "./dev/something.git.py", line 1
mport asdf2
^
SyntaxError: invalid syntax```
Closes#27140 from ericfchang/master.
Authored-by: Eric Chang <eric.chang@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR proposes to move pandas related functionalities into pandas package. Namely:
```bash
pyspark/sql/pandas
├── __init__.py
├── conversion.py # Conversion between pandas <> PySpark DataFrames
├── functions.py # pandas_udf
├── group_ops.py # Grouped UDF / Cogrouped UDF + groupby.apply, groupby.cogroup.apply
├── map_ops.py # Map Iter UDF + mapInPandas
├── serializers.py # pandas <> PyArrow serializers
├── types.py # Type utils between pandas <> PyArrow
└── utils.py # Version requirement checks
```
In order to separately locate `groupby.apply`, `groupby.cogroup.apply`, `mapInPandas`, `toPandas`, and `createDataFrame(pdf)` under `pandas` sub-package, I had to use a mix-in approach which Scala side uses often by `trait`, and also pandas itself uses this approach (see `IndexOpsMixin` as an example) to group related functionalities. Currently, you can think it's like Scala's self typed trait. See the structure below:
```python
class PandasMapOpsMixin(object):
def mapInPandas(self, ...):
...
return ...
# other Pandas <> PySpark APIs
```
```python
class DataFrame(PandasMapOpsMixin):
# other DataFrame APIs equivalent to Scala side.
```
Yes, This is a big PR but they are mostly just moving around except one case `createDataFrame` which I had to split the methods.
### Why are the changes needed?
There are pandas functionalities here and there and I myself gets lost where it was. Also, when you have to make a change commonly for all of pandas related features, it's almost impossible now.
Also, after this change, `DataFrame` and `SparkSession` become more consistent with Scala side since pandas is specific to Python, and this change separates pandas-specific APIs away from `DataFrame` or `SparkSession`.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Existing tests should cover. Also, I manually built the PySpark API documentation and checked.
Closes#27109 from HyukjinKwon/pandas-refactoring.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
R version 3.6.2 (Dark and Stormy Night) was released on 2019-12-12. This PR targets to upgrade R installation for AppVeyor CI environment.
### Why are the changes needed?
To test the latest R versions before the release, and see if there are any regressions.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
AppVeyor will test.
Closes#27124 from HyukjinKwon/upgrade-r-version-appveyor.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This excludes the .git folder when the python linter runs. We want to exclude because there may be files in .git from other branches that could cause the linter to fail.
### Why are the changes needed?
I ran into a case where there was a branch name that ended ".py" suffix so there were git refs files in .git folder in .git/logs/refs and .git/refs/remotes.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Manual.
```
$ git branch 3.py
$ git checkout 3.py
Switched to branch '3.py'
$ dev/lint-python
starting python compilation test...
Python compilation failed with the following errors:
*** Error compiling './.git/logs/refs/heads/3.py'...
File "./.git/logs/refs/heads/3.py", line 1
0000000000000000000000000000000000000000 895e572b73 Dongjoon Hyun <dhyunapple.com> 1578438255 -0800 branch: Created from master
^
SyntaxError: invalid syntax
*** Error compiling './.git/refs/heads/3.py'...
File "./.git/refs/heads/3.py", line 1
895e572b73
^
SyntaxError: invalid syntax
```
Closes#27120 from ericfchang/master.
Authored-by: Eric Chang <eric.chang@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
PySpark UDF to convert MLlib vectors to dense arrays.
Example:
```
from pyspark.ml.functions import vector_to_array
df.select(vector_to_array(col("features"))
```
### Why are the changes needed?
If a PySpark user wants to convert MLlib sparse/dense vectors in a DataFrame into dense arrays, an efficient approach is to do that in JVM. However, it requires PySpark user to write Scala code and register it as a UDF. Often this is infeasible for a pure python project.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
UT.
Closes#26910 from WeichenXu123/vector_to_array.
Authored-by: WeichenXu <weichen.xu@databricks.com>
Signed-off-by: Xiangrui Meng <meng@databricks.com>
This reverts commit 709387d660.
See https://issues.apache.org/jira/browse/SPARK-27300?focusedCommentId=16990048&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-16990048 and previous mailing list discussions.
### What changes were proposed in this pull request?
Revert the addition of skeleton graph API modules for Spark 3.0.
### Why are the changes needed?
It does not appear that content will be added to the module for Spark 3, so I propose avoiding committing to the modules, which are no-ops now, in the upcoming major 3.0 release.
### Does this PR introduce any user-facing change?
No, the modules were not released.
### How was this patch tested?
Existing tests, but mostly N/A.
Closes#26928 from srowen/Revert27300.
Authored-by: Sean Owen <srowen@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR fix incorrect pyspark version when releasing preview versions.
### Why are the changes needed?
Failed to make Spark binary distribution:
```
cp: cannot stat 'spark-3.0.0-preview2-bin-hadoop2.7/python/dist/pyspark-3.0.0.dev02.tar.gz': No such file or directory
gpg: can't open 'pyspark-3.0.0.dev02.tar.gz': No such file or directory
gpg: signing failed: No such file or directory
gpg: pyspark-3.0.0.dev02.tar.gz: No such file or directory
```
```
yumwangubuntu-3513086:~/spark-release/output$ ll spark-3.0.0-preview2-bin-hadoop2.7/python/dist/
total 214140
drwxr-xr-x 2 yumwang stack 4096 Dec 16 06:17 ./
drwxr-xr-x 9 yumwang stack 4096 Dec 16 06:17 ../
-rw-r--r-- 1 yumwang stack 219267173 Dec 16 06:17 pyspark-3.0.0.dev2.tar.gz
```
```
/usr/local/lib/python3.6/dist-packages/setuptools/dist.py:476: UserWarning: Normalizing '3.0.0.dev02' to '3.0.0.dev2'
normalized_version,
```
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
manual test:
```
LM-SHC-16502798:spark yumwang$ SPARK_VERSION=3.0.0-preview2
LM-SHC-16502798:spark yumwang$ echo "$SPARK_VERSION" | sed -e "s/-/./" -e "s/SNAPSHOT/dev0/" -e "s/preview/dev/"
3.0.0.dev2
```
Closes#26909 from wangyum/SPARK-30268.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
This PR add support do not add commits to master branch when releasing preview version.
### Why are the changes needed?
We need manual revert this change, example:
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
manual test
Closes#26879 from wangyum/SPARK-30253.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Yuming Wang <wgyumg@gmail.com>
### What changes were proposed in this pull request?
- Reverts commit 1f94bf4 and d6be46e
- Switches python to python3 in Docker release image.
### Why are the changes needed?
`dev/make-distribution.sh` and `python/setup.py` are use python3.
https://github.com/apache/spark/pull/26844/files#diff-ba2c046d92a1d2b5b417788bfb5cb5f8L236https://github.com/apache/spark/pull/26330/files#diff-8cf6167d58ce775a08acafcfe6f40966
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
manual test:
```
yumwangubuntu-3513086:~/spark$ dev/create-release/do-release-docker.sh -n -d /home/yumwang/spark-release
Output directory already exists. Overwrite and continue? [y/n] y
Branch [branch-2.4]: master
Current branch version is 3.0.0-SNAPSHOT.
Release [3.0.0]: 3.0.0-preview2
RC # [1]:
This is a dry run. Please confirm the ref that will be built for testing.
Ref [master]:
ASF user [yumwang]:
Full name [Yuming Wang]:
GPG key [yumwangapache.org]: DBD447010C1B4F7DAD3F7DFD6E1B4122F6A3A338
================
Release details:
BRANCH: master
VERSION: 3.0.0-preview2
TAG: v3.0.0-preview2-rc1
NEXT: 3.0.1-SNAPSHOT
ASF USER: yumwang
GPG KEY: DBD447010C1B4F7DAD3F7DFD6E1B4122F6A3A338
FULL NAME: Yuming Wang
E-MAIL: yumwangapache.org
================
Is this info correct [y/n]? y
GPG passphrase:
========================
= Building spark-rm image with tag latest...
Command: docker build -t spark-rm:latest --build-arg UID=110302528 /home/yumwang/spark/dev/create-release/spark-rm
Log file: docker-build.log
Building v3.0.0-preview2-rc1; output will be at /home/yumwang/spark-release/output
gpg: directory '/home/spark-rm/.gnupg' created
gpg: keybox '/home/spark-rm/.gnupg/pubring.kbx' created
gpg: /home/spark-rm/.gnupg/trustdb.gpg: trustdb created
gpg: key 6E1B4122F6A3A338: public key "Yuming Wang <yumwangapache.org>" imported
gpg: key 6E1B4122F6A3A338: secret key imported
gpg: Total number processed: 1
gpg: imported: 1
gpg: secret keys read: 1
gpg: secret keys imported: 1
========================
= Creating release tag v3.0.0-preview2-rc1...
Command: /opt/spark-rm/release-tag.sh
Log file: tag.log
It may take some time for the tag to be synchronized to github.
Press enter when you've verified that the new tag (v3.0.0-preview2-rc1) is available.
========================
= Building Spark...
Command: /opt/spark-rm/release-build.sh package
Log file: build.log
========================
= Building documentation...
Command: /opt/spark-rm/release-build.sh docs
Log file: docs.log
========================
= Publishing release
Command: /opt/spark-rm/release-build.sh publish-release
Log file: publish.log
```
Generated doc:
Closes#26848 from wangyum/SPARK-30216.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to update zstd-jni library to 1.4.4-3.
### Why are the changes needed?
This will bring the latest bug fixes in zstd itself and some performance improvement.
- https://github.com/facebook/zstd/releases/tag/v1.4.4
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins.
Closes#26856 from dongjoon-hyun/SPARK-ZSTD-144.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
This PR switches python to python3 in `make-distribution.sh`.
### Why are the changes needed?
SPARK-29672 changed this
- https://github.com/apache/spark/pull/26330/files#diff-8cf6167d58ce775a08acafcfe6f40966
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
N/A
Closes#26844 from wangyum/SPARK-30211.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This pr intends to upgrade lz4-java from 1.6.0 to 1.7.0.
### Why are the changes needed?
This release includes a performance bug (https://github.com/lz4/lz4-java/pull/143) fixed by JoshRosen and some improvements (e.g., LZ4 binary update). You can see the link below for the changes;
https://github.com/lz4/lz4-java/blob/master/CHANGES.md#170
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Existing tests.
Closes#26823 from maropu/LZ4_1_7_0.
Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
This PR aims to upgrade `Jersey` from 2.29 to 2.29.1.
### Why are the changes needed?
This will bring several bug fixes and important dependency upgrades.
- https://eclipse-ee4j.github.io/jersey.github.io/release-notes/2.29.1.html
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins.
Closes#26785 from dongjoon-hyun/SPARK-30156.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to upgrade `Apache HttpCore` from 4.4.10 to 4.4.12.
### Why are the changes needed?
`Apache HttpCore v4.4.11` is the first official release for JDK11.
> This is a maintenance release that corrects a number of defects in non-blocking SSL session code that caused compatibility issues with TLSv1.3 protocol implementation shipped with Java 11.
For the full release note, please see the following.
- https://www.apache.org/dist/httpcomponents/httpcore/RELEASE_NOTES-4.4.x.txt
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins.
Closes#26786 from dongjoon-hyun/SPARK-30157.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
This PR aims to upgrade Maven from 3.6.2 to 3.6.3.
### Why are the changes needed?
This will bring bug fixes like the following.
- MNG-6759 Maven fails to use <repositories> section from dependency when resolving transitive dependencies in some cases
- MNG-6760 ExclusionArtifactFilter result invalid when wildcard exclusion is followed by other exclusions
The following is the full release note.
- https://maven.apache.org/docs/3.6.3/release-notes.html
### Does this PR introduce any user-facing change?
No. (This is a dev-environment change.)
### How was this patch tested?
Pass the Jenkins with both SBT and Maven.
Closes#26770 from dongjoon-hyun/SPARK-30142.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
This PR aims to cut `org.eclipse.jetty:jetty-webapp`and `org.eclipse.jetty:jetty-xml` transitive dependency from `hadoop-common`.
### Why are the changes needed?
This will simplify our dependency management by the removal of unused dependencies.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the GitHub Action with all combinations and the Jenkins UT with (Hadoop-3.2).
Closes#26742 from dongjoon-hyun/SPARK-30051.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
Move some classes extending Scala collections into parallel source trees, to support 2.13; other minor collection-related modifications.
Modify some classes extending Scala collections to work with 2.13 as well as 2.12. In many cases, this means introducing parallel source trees, as the type hierarchy changed in ways that one class can't support both.
### Why are the changes needed?
To support building for Scala 2.13 in the future.
### Does this PR introduce any user-facing change?
There should be no behavior change.
### How was this patch tested?
Existing tests. Note that the 2.13 changes are not tested by the PR builder, of course. They compile in 2.13 but can't even be tested locally. Later, once the project can be compiled for 2.13, thus tested, it's possible the 2.13 implementations will need updates.
Closes#26728 from srowen/SPARK-30012.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR proposes to remove the leftover. After https://github.com/apache/spark/pull/22615, we don't have Hadoop 2.6 profile anymore in master.
### Why are the changes needed?
Using "test-hadoop2.6" against master branch in a PR wouldn't work.
### Does this PR introduce any user-facing change?
No (dev only).
### How was this patch tested?
Manually tested at https://github.com/apache/spark/pull/26707 and Jenkins build will test.
Without this fix, and hadoop2.6 in the pr title, it shows as below:
```
========================================================================
Building Spark
========================================================================
[error] Could not find hadoop2.6 in the list. Valid options are dict_keys(['hadoop2.7', 'hadoop3.2'])
Attempting to post to Github...
```
Closes#26708 from HyukjinKwon/SPARK-25016.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
Currently, Apache Spark PR Builder using `hive-1.2` for `hadoop-2.7` and `hive-2.3` for `hadoop-3.2`. This PR aims to support
- `[test-hive1.2]` in PR builder
- `[test-hive2.3]` in PR builder to be consistent and independent of the default profile
- After this PR, all PR builders will use Hive 2.3 by default (because Spark uses Hive 2.3 by default as of c98e5eb339)
- Use default profile in AppVeyor build.
Note that this was reverted due to unexpected test failure at `ThriftServerPageSuite`, which was investigated in https://github.com/apache/spark/pull/26706 . This PR fixed it by letting it use their own forked JVM. There is no explicit evidence for this fix and it was just my speculation, and thankfully it fixed at least.
### Why are the changes needed?
This new tag allows us more flexibility.
### Does this PR introduce any user-facing change?
No. (This is a dev-only change.)
### How was this patch tested?
Check the Jenkins triggers in this PR.
Default:
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using SBT with these arguments: -Phadoop-2.7 -Phive-2.3 -Phive-thriftserver -Pmesos -Pspark-ganglia-lgpl -Phadoop-cloud -Phive -Pkubernetes -Pkinesis-asl -Pyarn test:package streaming-kinesis-asl-assembly/assembly
```
`[test-hive1.2][test-hadoop3.2]`:
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using SBT with these arguments: -Phadoop-3.2 -Phive-1.2 -Phadoop-cloud -Pyarn -Pspark-ganglia-lgpl -Phive -Phive-thriftserver -Pmesos -Pkubernetes -Pkinesis-asl test:package streaming-kinesis-asl-assembly/assembly
```
`[test-maven][test-hive-2.3]`:
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using Maven with these arguments: -Phadoop-2.7 -Phive-2.3 -Pspark-ganglia-lgpl -Pyarn -Phive -Phadoop-cloud -Pkinesis-asl -Pmesos -Pkubernetes -Phive-thriftserver clean package -DskipTests
```
Closes#26710 from HyukjinKwon/SPARK-29991.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
Currently, Apache Spark PR Builder using `hive-1.2` for `hadoop-2.7` and `hive-2.3` for `hadoop-3.2`. This PR aims to support `[test-hive1.2]` in PR Builder in order to cut the correlation between `hive-1.2/2.3` to `hadoop-2.7/3.2`. After this PR, the PR Builder will use `hive-2.3` by default for all profiles (if there is no `test-hive1.2`.)
### Why are the changes needed?
This new tag allows us more flexibility.
### Does this PR introduce any user-facing change?
No. (This is a dev-only change.)
### How was this patch tested?
Check the Jenkins triggers in this PR.
**BEFORE**
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using SBT with these arguments: -Phadoop-2.7 -Phive-1.2 -Pyarn -Pkubernetes -Phive -Phadoop-cloud -Pspark-ganglia-lgpl -Phive-thriftserver -Pkinesis-asl -Pmesos test:package streaming-kinesis-asl-assembly/assembly
```
**AFTER**
1. Title: [[SPARK-29991][INFRA][test-hive1.2] Support `test-hive1.2` in PR Builder](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/114550/testReport)
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using SBT with these arguments: -Phadoop-2.7 -Phive-1.2 -Pkinesis-asl -Phadoop-cloud -Pyarn -Phive -Pmesos -Pspark-ganglia-lgpl -Pkubernetes -Phive-thriftserver test:package streaming-kinesis-asl-assembly/assembly
```
2. Title: [[SPARK-29991][INFRA] Support `test hive1.2` in PR Builder](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/114551/testReport)
- Note that I removed the hyphen intentionally from `test-hive1.2`.
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using SBT with these arguments: -Phadoop-2.7 -Phive-thriftserver -Pkubernetes -Pspark-ganglia-lgpl -Phadoop-cloud -Phive -Pmesos -Pyarn -Pkinesis-asl test:package streaming-kinesis-asl-assembly/assembly
```
Closes#26695 from dongjoon-hyun/SPARK-29991.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to add another pre-built binary distribution with `-Phadoop-2.7 -Phive-1.2` at `Apache Spark 3.0.0`.
**PRE-BUILT BINARY DISTRIBUTION**
```
spark-3.0.0-SNAPSHOT-bin-hadoop2.7-hive1.2.tgz
spark-3.0.0-SNAPSHOT-bin-hadoop2.7-hive1.2.tgz.asc
spark-3.0.0-SNAPSHOT-bin-hadoop2.7-hive1.2.tgz.sha512
```
**CONTENTS (snippet)**
```
$ ls *hadoop-*
hadoop-annotations-2.7.4.jar hadoop-mapreduce-client-shuffle-2.7.4.jar
hadoop-auth-2.7.4.jar hadoop-yarn-api-2.7.4.jar
hadoop-client-2.7.4.jar hadoop-yarn-client-2.7.4.jar
hadoop-common-2.7.4.jar hadoop-yarn-common-2.7.4.jar
hadoop-hdfs-2.7.4.jar hadoop-yarn-server-common-2.7.4.jar
hadoop-mapreduce-client-app-2.7.4.jar hadoop-yarn-server-web-proxy-2.7.4.jar
hadoop-mapreduce-client-common-2.7.4.jar parquet-hadoop-1.10.1.jar
hadoop-mapreduce-client-core-2.7.4.jar parquet-hadoop-bundle-1.6.0.jar
hadoop-mapreduce-client-jobclient-2.7.4.jar
$ ls *hive-*
hive-beeline-1.2.1.spark2.jar hive-jdbc-1.2.1.spark2.jar
hive-cli-1.2.1.spark2.jar hive-metastore-1.2.1.spark2.jar
hive-exec-1.2.1.spark2.jar spark-hive-thriftserver_2.12-3.0.0-SNAPSHOT.jar
```
### Why are the changes needed?
Since Apache Spark switched to use `-Phive-2.3` by default, all pre-built binary distribution will use `-Phive-2.3`. This PR adds `hadoop-2.7/hive-1.2` distribution to provide a similar combination like `Apache Spark 2.4` line.
### Does this PR introduce any user-facing change?
Yes. This is additional distribution which resembles to `Apache Spark 2.4` line in terms of `hive` version.
### How was this patch tested?
Manual.
Please note that we need a dry-run mode, but the AS-IS release script do not generate additional combinations including this in `dry-run` mode.
Closes#26688 from dongjoon-hyun/SPARK-29989.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Xiao Li <gatorsmile@gmail.com>
### What changes were proposed in this pull request?
This PR aims to skip building test artifacts in `dev/make-distribution.sh`.
Since Apache Spark 3.0.0, we need to build additional binary distribution, this helps the release process by speeding up building multiple binary distributions.
### Why are the changes needed?
Since the generated binary artifacts are irrelevant to the test jars, we can skip this.
**BEFORE**
```
$ time dev/make-distribution.sh
726.86 real 2526.04 user 45.63 sys
```
**AFTER**
```
$ time dev/make-distribution.sh
305.54 real 1099.99 user 26.52 sys
```
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Manually check `dev/make-distribution.sh` result and time.
Closes#26689 from dongjoon-hyun/SPARK-30056.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
This PR aims to fix a type; `rogue` -> `rouge` .
This is a follow-up of https://github.com/apache/spark/pull/26521.
### Why are the changes needed?
To support `Python 3`, we upgraded from `pygments` to `rouge`.
### Does this PR introduce any user-facing change?
No. (This is for only document generation.)
### How was this patch tested?
Manually.
```
$ docker build -t test dev/create-release/spark-rm/
...
1 gem installed
Successfully installed rouge-3.13.0
Parsing documentation for rouge-3.13.0
Installing ri documentation for rouge-3.13.0
Done installing documentation for rouge after 4 seconds
1 gem installed
Removing intermediate container 9bd8707d9e84
---> a18b2f6b0bb9
...
```
Closes#26686 from dongjoon-hyun/SPARK-28752.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
Move scalafmt to Scala 2.12 profile; bump to 0.12.
### Why are the changes needed?
To facilitate a future Scala 2.13 build.
### Does this PR introduce any user-facing change?
None.
### How was this patch tested?
This isn't covered by tests, it's a convenience for contributors.
Closes#26655 from srowen/SPARK-29293.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to upgrade to `Apache Commons Lang 3.9`.
### Why are the changes needed?
`Apache Commons Lang 3.9` is the first official release to support JDK9+. The following is the full release note.
- https://commons.apache.org/proper/commons-lang/release-notes/RELEASE-NOTES-3.9.txt
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins with the existing tests.
Closes#26672 from dongjoon-hyun/SPARK-30035.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
This PR aims to upgrade to Apache ORC 1.5.8.
### Why are the changes needed?
This will bring the latest bug fixes. The following is the full release note.
- https://issues.apache.org/jira/projects/ORC/versions/12346462
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins with the existing tests.
Closes#26669 from dongjoon-hyun/SPARK-ORC-1.5.8.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to update `test-dependencies.sh` to validate all available `Hadoop/Hive` combination.
### Why are the changes needed?
Previously, we have been checking only `Hadoop2.7/Hive1.2` and `Hadoop3.2/Hive2.3`.
We need to validate `Hadoop2.7/Hive2.3` additionally for Apache Spark 3.0.
### Does this PR introduce any user-facing change?
No. (This is a dev-only change).
### How was this patch tested?
Pass the GitHub Action (Linter) with the newly updated manifest because this is only dependency check.
Closes#26646 from dongjoon-hyun/SPARK-30005.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to add `-Phive-2.3` to publish profiles.
Since Apache Spark 3.0.0, Maven artifacts will be publish with Apache Hive 2.3 profile only.
This PR also will recover `SNAPSHOT` publishing Jenkins job.
- https://amplab.cs.berkeley.edu/jenkins/view/Spark%20Packaging/job/spark-master-maven-snapshots/
We will provide the pre-built distributions (with Hive 1.2.1 also) like Apache Spark 2.4.
SPARK-29989 will update the release script to generate all combinations.
### Why are the changes needed?
This will reduce the explicit dependency on the illegitimate Hive fork in Maven repository.
### Does this PR introduce any user-facing change?
Yes, but this is dev only changes.
### How was this patch tested?
Manual.
Closes#26648 from dongjoon-hyun/SPARK-30007.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims the followings.
- Add two profiles, `hive-1.2` and `hive-2.3` (default)
- Validate if we keep the existing combination at least. (Hadoop-2.7 + Hive 1.2 / Hadoop-3.2 + Hive 2.3).
For now, we assumes that `hive-1.2` is explicitly used with `hadoop-2.7` and `hive-2.3` with `hadoop-3.2`. The followings are beyond the scope of this PR.
- SPARK-29988 Adjust Jenkins jobs for `hive-1.2/2.3` combination
- SPARK-29989 Update release-script for `hive-1.2/2.3` combination
- SPARK-29991 Support `hive-1.2/2.3` in PR Builder
### Why are the changes needed?
This will help to switch our dependencies to update the exposed dependencies.
### Does this PR introduce any user-facing change?
This is a dev-only change that the build profile combinations are changed.
- `-Phadoop-2.7` => `-Phadoop-2.7 -Phive-1.2`
- `-Phadoop-3.2` => `-Phadoop-3.2 -Phive-2.3`
### How was this patch tested?
Pass the Jenkins with the dependency check and tests to make it sure we don't change anything for now.
- [Jenkins (-Phadoop-2.7 -Phive-1.2)](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/114192/consoleFull)
- [Jenkins (-Phadoop-3.2 -Phive-2.3)](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/114192/consoleFull)
Also, from now, GitHub Action validates the following combinations.
Closes#26619 from dongjoon-hyun/SPARK-29981.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR fixes SparkR lint errors and adds `lint-r` GitHub Action to protect the branch.
### Why are the changes needed?
It turns out that we currently don't run it. It's recovered yesterday. However, after that, our Jenkins linter jobs (`master`/`branch-2.4`) has been broken on `lint-r` tasks.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the GitHub Action on this PR in addition to Jenkins R and AppVeyor R.
Closes#26564 from dongjoon-hyun/SPARK-29936.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to make `lint-r` exits with non-zero in case of errors. Please note that `lint-r` works correctly when everything are installed correctly.
### Why are the changes needed?
There are two cases which hide errors from Jenkins/AppVeyor/GitHubAction.
1. `lint-r` exits with zero if there is no R installation.
```bash
$ dev/lint-r
dev/lint-r: line 25: type: Rscript: not found
ERROR: You should install R
$ echo $?
0
```
2. `lint-r` exits with zero if we didn't do `R/install-dev.sh`.
```bash
$ dev/lint-r
Error: You should install SparkR in a local directory with `R/install-dev.sh`.
In addition: Warning message:
In library(SparkR, lib.loc = LOCAL_LIB_LOC, logical.return = TRUE) :
no library trees found in 'lib.loc'
Execution halted
lintr checks passed. // <=== Please note here
$ echo $?
0
```
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Manually check the above two cases.
Closes#26561 from dongjoon-hyun/SPARK-29932.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to ignore `GitHub Action` and `AppVeyor` file changes. When we touch these files, Jenkins job should not trigger a full testing.
### Why are the changes needed?
Currently, these files are categorized to `root` and trigger the full testing and ends up wasting the Jenkins resources.
- https://github.com/apache/spark/pull/26555
```
[info] Using build tool sbt with Hadoop profile hadoop2.7 under environment amplab_jenkins
From https://github.com/apache/spark
* [new branch] master -> master
[info] Found the following changed modules: sparkr, root
[info] Setup the following environment variables for tests:
```
### Does this PR introduce any user-facing change?
No. (Jenkins testing only).
### How was this patch tested?
Manually.
```
$ dev/run-tests.py -h -v
...
Trying:
[x.name for x in determine_modules_for_files([".github/workflows/master.yml", "appveyor.xml"])]
Expecting:
[]
...
```
Closes#26556 from dongjoon-hyun/SPARK-IGNORE-APPVEYOR.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR proposes to switch `pygments.rb`, which only support Python 2 and seems inactive for the last few years (https://github.com/tmm1/pygments.rb), to Rouge which is pure Ruby code highlighter that is compatible with Pygments.
I thought it would be pretty difficult to change but thankfully Rouge does a great job as the alternative.
### Why are the changes needed?
We're moving to Python 3 and drop Python 2 completely.
### Does this PR introduce any user-facing change?
Maybe a little bit of different syntax style but should not have a notable change.
### How was this patch tested?
Manually tested the build and checked the documentation.
Closes#26521 from HyukjinKwon/SPARK-28752.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
Upgrade Apache Arrow to version 0.15.1. This includes Java artifacts and increases the minimum required version of PyArrow also.
Version 0.12.0 to 0.15.1 includes the following selected fixes/improvements relevant to Spark users:
* ARROW-6898 - [Java] Fix potential memory leak in ArrowWriter and several test classes
* ARROW-6874 - [Python] Memory leak in Table.to_pandas() when conversion to object dtype
* ARROW-5579 - [Java] shade flatbuffer dependency
* ARROW-5843 - [Java] Improve the readability and performance of BitVectorHelper#getNullCount
* ARROW-5881 - [Java] Provide functionalities to efficiently determine if a validity buffer has completely 1 bits/0 bits
* ARROW-5893 - [C++] Remove arrow::Column class from C++ library
* ARROW-5970 - [Java] Provide pointer to Arrow buffer
* ARROW-6070 - [Java] Avoid creating new schema before IPC sending
* ARROW-6279 - [Python] Add Table.slice method or allow slices in \_\_getitem\_\_
* ARROW-6313 - [Format] Tracking for ensuring flatbuffer serialized values are aligned in stream/files.
* ARROW-6557 - [Python] Always return pandas.Series from Array/ChunkedArray.to_pandas, propagate field names to Series from RecordBatch, Table
* ARROW-2015 - [Java] Use Java Time and Date APIs instead of JodaTime
* ARROW-1261 - [Java] Add container type for Map logical type
* ARROW-1207 - [C++] Implement Map logical type
Changelog can be seen at https://arrow.apache.org/release/0.15.0.html
### Why are the changes needed?
Upgrade to get bug fixes, improvements, and maintain compatibility with future versions of PyArrow.
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Existing tests, manually tested with Python 3.7, 3.8
Closes#26133 from BryanCutler/arrow-upgrade-015-SPARK-29376.
Authored-by: Bryan Cutler <cutlerb@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
remove python2.7 tests and test infra for 3.0+
### Why are the changes needed?
because python2.7 is finally going the way of the dodo.
### Does this PR introduce any user-facing change?
newp.
### How was this patch tested?
the build system will test this
Closes#26330 from shaneknapp/remove-py27-tests.
Lead-authored-by: shane knapp <incomplete@gmail.com>
Co-authored-by: shane <incomplete@gmail.com>
Signed-off-by: shane knapp <incomplete@gmail.com>
### What changes were proposed in this pull request?
This upgrades joda-time from 2.9 to 2.10.5.
### Why are the changes needed?
Joda 2.9 is almost 4 yrs ago and there are bugs fix and tz database updates.
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Existing tests.
Closes#26389 from viirya/upgrade-joda.
Authored-by: Liang-Chi Hsieh <liangchi@uber.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
Update the version of dropwizard metrics that Spark uses for metrics to 4.1.x, from 3.2.x.
### Why are the changes needed?
This helps JDK 9+ support, per for example https://github.com/dropwizard/metrics/pull/1236
### Does this PR introduce any user-facing change?
No, although downstream users with custom metrics may be affected.
### How was this patch tested?
Existing tests.
Closes#26332 from srowen/SPARK-29674.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR replaces `jira_client` API call for read-only access with public Apache JIRA REST API invocation.
### Why are the changes needed?
This will reduce the number of authenticated API invocations. I hope this will reduce the chance of CAPCHAR from Apache JIRA site.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Manual.
```
$ echo 26375 > .github-jira-max
$ dev/github_jira_sync.py
Read largest PR number previously seen: 26375
Retrieved 100 JIRA PR's from Github
1 PR's remain after excluding visted ones
Checking issue SPARK-29731
Writing largest PR number seen: 26376
Build PR dictionary
SPARK-29731
26376
Set 26376 with labels "PROJECT INFRA"
```
Closes#26376 from dongjoon-hyun/SPARK-29731.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to upgrade ASM to 7.2.
- https://issues.apache.org/jira/browse/XBEAN-322 (Upgrade to ASM 7.2)
- https://asm.ow2.io/versions.html
### Why are the changes needed?
This will bring the following patches.
- 317875: Infinite loop when parsing invalid method descriptor
- 317873: Add support for RET instruction in AdviceAdapter
- 317872: Throw an exception if visitFrame used incorrectly
- add support for Java 14
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins with the existing UTs.
Closes#26373 from dongjoon-hyun/SPARK-29729.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
`release-build.sh` fail to publish release under dry run mode with the following error message:
```
/opt/spark-rm/release-build.sh: line 429: pushd: spark-repo-g4MBm/org/apache/spark: No such file or directory
```
We need to at least run the `mvn clean install` command once to create the `$tmp_repo` path, but now those steps are all skipped under dry-run mode. This PR fixes the issue.
### How was this patch tested?
Tested locally.
Closes#26329 from jiangxb1987/dryrun.
Authored-by: Xingbo Jiang <xingbo.jiang@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
Update `release-build.sh`, to allow pyspark version name format `${versionNumber}-preview`, otherwise the release script won't generate pyspark release tarballs.
### How was this patch tested?
Tested locally.
Closes#26306 from jiangxb1987/buildPython.
Authored-by: Xingbo Jiang <xingbo.jiang@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to upgrade to Apache ORC 1.5.7.
### Why are the changes needed?
This will bring the latest bug fixes. The following is the full release note.
- https://issues.apache.org/jira/projects/ORC/versions/12345702
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins with the existing tests.
Closes#26276 from dongjoon-hyun/SPARK-29617.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to add `hadoop-3.2` profile to pre-built binary package releases.
### Why are the changes needed?
Since Apache Spark 3.0.0, we provides Hadoop 3.2 pre-built binary.
### Does this PR introduce any user-facing change?
No. (Although the artifacts are available, this change is for release managers).
### How was this patch tested?
Manual. Please note that `DRY_RUN=0` disables these combination.
```
$ dev/create-release/release-build.sh package
...
Packages to build: without-hadoop hadoop3.2 hadoop2.7
make_binary_release without-hadoop -Pscala-2.12 -Phadoop-provided 2.12
make_binary_release hadoop3.2 -Pscala-2.12 -Phadoop-3.2 -Phive -Phive-thriftserver 2.12
make_binary_release hadoop2.7 -Pscala-2.12 -Phadoop-2.7 -Phive -Phive-thriftserver withpip,withr 2.12
```
Closes#26260 from dongjoon-hyun/SPARK-29608.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This proposes to update the dropwizard/codahale metrics library version used by Spark to `3.2.6` which is the last version supporting Ganglia.
### Why are the changes needed?
Spark is currently using Dropwizard metrics version 3.1.5, a version that is no more actively developed nor maintained, according to the project's Github repo README.
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Existing tests + manual tests on a YARN cluster.
Closes#26212 from LucaCanali/updateDropwizardVersion.
Authored-by: Luca Canali <luca.canali@cern.ch>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
Add mapPartitionsWithIndex for RDDBarrier.
### Why are the changes needed?
There is only one method in `RDDBarrier`. We often use the partition index as a label for the current partition. We need to get the index from `TaskContext` index in the method of `mapPartitions` which is not convenient.
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
New UT.
Closes#26148 from ConeyLiu/barrier-index.
Authored-by: Xianyang Liu <xianyang.liu@intel.com>
Signed-off-by: Xingbo Jiang <xingbo.jiang@databricks.com>
### What changes were proposed in this pull request?
Updated kubernetes client.
### Why are the changes needed?
https://issues.apache.org/jira/browse/SPARK-27812https://issues.apache.org/jira/browse/SPARK-27927
We need this fix https://github.com/fabric8io/kubernetes-client/pull/1768 that was released on version 4.6 of the client. The root cause of the problem is better explained in https://github.com/apache/spark/pull/25785
### Does this PR introduce any user-facing change?
Nope, it should be transparent to users
### How was this patch tested?
This patch was tested manually using a simple pyspark job
```python
from pyspark.sql import SparkSession
if __name__ == '__main__':
spark = SparkSession.builder.getOrCreate()
```
The expected behaviour of this "job" is that both python's and jvm's process exit automatically after the main runs. This is the case for spark versions <= 2.4. On version 2.4.3, the jvm process hangs because there's a non daemon thread running
```
"OkHttp WebSocket https://10.96.0.1/..." #121 prio=5 os_prio=0 tid=0x00007fb27c005800 nid=0x24b waiting on condition [0x00007fb300847000]
"OkHttp WebSocket https://10.96.0.1/..." #117 prio=5 os_prio=0 tid=0x00007fb28c004000 nid=0x247 waiting on condition [0x00007fb300e4b000]
```
This is caused by a bug on `kubernetes-client` library, which is fixed on the version that we are upgrading to.
When the mentioned job is run with this patch applied, the behaviour from spark <= 2.4.3 is restored and both processes terminate successfully
Closes#26093 from igorcalabria/k8s-client-update.
Authored-by: igor.calabria <igor.calabria@ubee.in>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
Release blog: https://medium.com/cowtowncoder/jackson-2-10-features-cd880674d8a2
Fixes the following CVE's:
https://www.cvedetails.com/cve/CVE-2019-16942/https://www.cvedetails.com/cve/CVE-2019-16943/
Looking back, there were 3 major goals for this minor release:
- Resolve the growing problem of “endless CVE patches”, a stream of fixes for reported CVEs related to “Polymorphic Deserialization” problem (described in “On Jackson CVEs… ”) that resulted in security tools forcing Jackson upgrades. 2.10 now includes “Safe Default Typing” that is hoped to resolve this problem.
- Evolve 2.x API towards 3.0, based on changes that were done in master, within limits of 2.x API backwards-compatibility requirements.
- Add JDK support for versions beyond Java 8: specifically add“module-info.class” for JDK9+, defining proper module definitions for Jackson components
Full changelog: https://github.com/FasterXML/jackson/wiki/Jackson-Release-2.10
Improved Scala 2.13 support: https://github.com/FasterXML/jackson/wiki/Jackson-Release-2.10#scala
### Why are the changes needed?
Patches CVE's reported by the vulnerability scanner.
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Ran `mvn clean install -DskipTests` locally.
Closes#26131 from Fokko/SPARK-29483.
Authored-by: Fokko Driesprong <fokko@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
Updating univocity-parsers version to 2.8.3, which adds support for multiple character delimiters
Moving univocity-parsers version to spark-parent pom dependencyManagement section
Adding new utility method to build multi-char delimiter string, which delegates to existing one
Adding tests for multiple character delimited CSV
### What changes were proposed in this pull request?
Adds support for parsing CSV data using multiple-character delimiters. Existing logic for converting the input delimiter string to characters was kept and invoked in a loop. Project dependencies were updated to remove redundant declaration of `univocity-parsers` version, and also to change that version to the latest.
### Why are the changes needed?
It is quite common for people to have delimited data, where the delimiter is not a single character, but rather a sequence of characters. Currently, it is difficult to handle such data in Spark (typically needs pre-processing).
### Does this PR introduce any user-facing change?
Yes. Specifying the "delimiter" option for the DataFrame read, and providing more than one character, will no longer result in an exception. Instead, it will be converted as before and passed to the underlying library (Univocity), which has accepted multiple character delimiters since 2.8.0.
### How was this patch tested?
The `CSVSuite` tests were confirmed passing (including new methods), and `sbt` tests for `sql` were executed.
Closes#26027 from jeff303/SPARK-24540.
Authored-by: Jeff Evans <jeffrey.wayne.evans@gmail.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
### What changes were proposed in this pull request?
Current dev/deps/spark-deps-hadoop-3.2 have some wrong deps, it's caused by `dev/test-dependencies.sh ` when build assembly dependencies.
add maven compile parameter `-am` to make it build with all deps, and get right result.
And update NOTICE-binary & NOTICE-binary for updated result.
### Why are the changes needed?
Update dev/deps/spark-hadoop-3.2
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
N/A
Closes#25984 from AngersZhuuuu/SPARK=29308.
Authored-by: angerszhu <angers.zhu@gmail.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
### What changes were proposed in this pull request?
Minor version bump of Netty to patch reported CVE.
Patches: https://www.cvedetails.com/cve/CVE-2019-16869/
### Why are the changes needed?
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Compiled locally using `mvn clean install -DskipTests`
Closes#26099 from Fokko/SPARK-29445.
Authored-by: Fokko Driesprong <fokko@apache.org>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
### What changes were proposed in this pull request?
This PR updates commons-beanutils to 1.9.4.
### Why are the changes needed?
CVE fixed in 1.9.4: http://commons.apache.org/proper/commons-beanutils/javadocs/v1.9.4/RELEASE-NOTES.txt
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Existing UTs.
Closes#26069 from peter-toth/SPARK-29410-update-commons-beanutils-to-1.9.4.
Authored-by: Peter Toth <peter.toth@gmail.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
### What changes were proposed in this pull request?
This PR aims to update zstd-jni library to 1.4.3-1.
### Why are the changes needed?
This will bring the latest bug fixes in zstd itself. This is independent from another on-going Spark fix.
- https://github.com/facebook/zstd/releases/tag/v1.4.3
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins with the existing tests.
Closes#26002 from dongjoon-hyun/SPARK-29332.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
In the PR merge script, decode the raw output of subprocess commands like `git` using UTF-8 encoding, consistently.
### Why are the changes needed?
The merge script occasionally fails if run with Python 2 and the output of a command like `git` contains non-ASCII characters. I think this most usually happens when a user name, for example, contains Chinese characters.
This is because the output is decoded according to `sys.getdefaultencoding()`, which is ASCII in Python 2. It's UTF-8 in Python 3, by default.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
The change caused a merge that failed before to succeed.
Closes#25991 from srowen/MergePRUTF8.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
The current code uses org.apache.zookeeper:zookeeper:jar:3.4.6 and it will cause a security vulnerabilities. We could get some security info from https://www.tenable.com/cve/CVE-2019-0201
This reference remind to upgrate the version of `zookeeper` to 3.4.14 or later.
### Why are the changes needed?
This PR fix the security vulnerabilities.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Exists UT.
Closes#25933 from beliefer/upgrade-zookeeper.
Authored-by: gengjiaan <gengjiaan@360.cn>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
### What changes were proposed in this pull request?
Update scalatest, scalacheck, scopt, clapper, scala-parser-combinators to latest maintenance release that is also cross-published for Scala 2.13.
### Why are the changes needed?
To build in the future for Scala 2.13
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Existing tests
Closes#25967 from srowen/SPARK-29289.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
### What changes were proposed in this pull request?
The current code uses com.fasterxml.jackson.core:jackson-databind:jar:2.9.9.3 and it will cause a security vulnerabilities. We could get some security info from https://www.tenable.com/cve/CVE-2019-16335 and https://www.tenable.com/cve/CVE-2019-14540
This reference remind to upgrate the version of `jackson-databind` to 2.9.10 or later.
This PR also upgrade the version of jackson to 2.9.10.
### Why are the changes needed?
This PR fix the security vulnerabilities.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Exists UT.
Closes#25912 from beliefer/upgrade-jackson.
Authored-by: gengjiaan <gengjiaan@360.cn>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This is a followup for https://github.com/apache/spark/pull/24981
Seems we mistakenly didn't added `test_pandas_udf_cogrouped_map` into `modules.py`. So we don't have official test results against that PR.
```
...
Starting test(python3.6): pyspark.sql.tests.test_pandas_udf
...
Starting test(python3.6): pyspark.sql.tests.test_pandas_udf_grouped_agg
...
Starting test(python3.6): pyspark.sql.tests.test_pandas_udf_grouped_map
...
Starting test(python3.6): pyspark.sql.tests.test_pandas_udf_scalar
...
Starting test(python3.6): pyspark.sql.tests.test_pandas_udf_window
Finished test(python3.6): pyspark.sql.tests.test_pandas_udf (21s)
...
Finished test(python3.6): pyspark.sql.tests.test_pandas_udf_grouped_map (49s)
...
Finished test(python3.6): pyspark.sql.tests.test_pandas_udf_window (58s)
...
Finished test(python3.6): pyspark.sql.tests.test_pandas_udf_scalar (82s)
...
Finished test(python3.6): pyspark.sql.tests.test_pandas_udf_grouped_agg (105s)
...
```
If tests fail, we should revert that PR.
### Why are the changes needed?
Relevant tests should be ran.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Jenkins tests.
Closes#25890 from HyukjinKwon/SPARK-28840.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
Update breeze dependency to 1.0.
### Why are the changes needed?
Breeze 1.0 supports Scala 2.13 and has a few bug fixes.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Existing tests.
Closes#25874 from srowen/SPARK-28772.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to increase the JVM CodeCacheSize from 0.5G to 1G.
### Why are the changes needed?
After upgrading to `Scala 2.12.10`, the following is observed during building.
```
2019-09-18T20:49:23.5030586Z OpenJDK 64-Bit Server VM warning: CodeCache is full. Compiler has been disabled.
2019-09-18T20:49:23.5032920Z OpenJDK 64-Bit Server VM warning: Try increasing the code cache size using -XX:ReservedCodeCacheSize=
2019-09-18T20:49:23.5034959Z CodeCache: size=524288Kb used=521399Kb max_used=521423Kb free=2888Kb
2019-09-18T20:49:23.5035472Z bounds [0x00007fa62c000000, 0x00007fa64c000000, 0x00007fa64c000000]
2019-09-18T20:49:23.5035781Z total_blobs=156549 nmethods=155863 adapters=592
2019-09-18T20:49:23.5036090Z compilation: disabled (not enough contiguous free space left)
```
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Manually check the Jenkins or GitHub Action build log (which should not have the above).
Closes#25836 from dongjoon-hyun/SPARK-CODE-CACHE-1G.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This PR upgrade Scala to **2.12.10**.
Release notes:
- Fix regression in large string interpolations with non-String typed splices
- Revert "Generate shallower ASTs in pattern translation"
- Fix regression in classpath when JARs have 'a.b' entries beside 'a/b'
- Faster compiler: 5–10% faster since 2.12.8
- Improved compatibility with JDK 11, 12, and 13
- Experimental support for build pipelining and outline type checking
More details:
https://github.com/scala/scala/releases/tag/v2.12.10https://github.com/scala/scala/releases/tag/v2.12.9
## How was this patch tested?
Existing tests
Closes#25404 from wangyum/SPARK-28683.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
It upgrades ORC from 1.5.5 to 1.5.6 and adds closes the ORC readers when they aren't used to
create RecordReaders.
## How was this patch tested?
The changed unit tests were run.
Closes#25006 from omalley/spark-28208.
Lead-authored-by: Owen O'Malley <omalley@apache.org>
Co-authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR allows `bin/spark-submit --version` to show the correct information while the previous versions, which were created by `dev/create-release/do-release-docker.sh`, show incorrect information.
There are two root causes to show incorrect information:
1. Did not pass `USER` environment variable to the docker container
1. Did not keep `.git` directory in the work directory
### Why are the changes needed?
The information is missing while the previous versions show the correct information.
### Does this PR introduce any user-facing change?
Yes, the following is the console output in branch-2.3
```
$ bin/spark-submit --version
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.3.4
/_/
Using Scala version 2.11.8, OpenJDK 64-Bit Server VM, 1.8.0_212
Branch HEAD
Compiled by user ishizaki on 2019-09-02T02:18:10Z
Revision 8c6f8150f3
Url https://gitbox.apache.org/repos/asf/spark.git
Type --help for more information.
```
Without this PR, the console output is as follows
```
$ spark-submit --version
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.3.4
/_/
Using Scala version 2.11.8, OpenJDK 64-Bit Server VM, 1.8.0_212
Branch
Compiled by user on 2019-08-26T08:29:39Z
Revision
Url
Type --help for more information.
```
### How was this patch tested?
After building the package, I manually executed `bin/spark-submit --version`
Closes#25655 from kiszk/SPARK-28906.
Authored-by: Kazuaki Ishizaki <ishizaki@jp.ibm.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
### What changes were proposed in this pull request?
- Remove SQLContext.createExternalTable and Catalog.createExternalTable, deprecated in favor of createTable since 2.2.0, plus tests of deprecated methods
- Remove HiveContext, deprecated in 2.0.0, in favor of `SparkSession.builder.enableHiveSupport`
- Remove deprecated KinesisUtils.createStream methods, plus tests of deprecated methods, deprecate in 2.2.0
- Remove deprecated MLlib (not Spark ML) linear method support, mostly utility constructors and 'train' methods, and associated docs. This includes methods in LinearRegression, LogisticRegression, Lasso, RidgeRegression. These have been deprecated since 2.0.0
- Remove deprecated Pyspark MLlib linear method support, including LogisticRegressionWithSGD, LinearRegressionWithSGD, LassoWithSGD
- Remove 'runs' argument in KMeans.train() method, which has been a no-op since 2.0.0
- Remove deprecated ChiSqSelector isSorted protected method
- Remove deprecated 'yarn-cluster' and 'yarn-client' master argument in favor of 'yarn' and deploy mode 'cluster', etc
Notes:
- I was not able to remove deprecated DataFrameReader.json(RDD) in favor of DataFrameReader.json(Dataset); the former was deprecated in 2.2.0, but, it is still needed to support Pyspark's .json() method, which can't use a Dataset.
- Looks like SQLContext.createExternalTable was not actually deprecated in Pyspark, but, almost certainly was meant to be? Catalog.createExternalTable was.
- I afterwards noted that the toDegrees, toRadians functions were almost removed fully in SPARK-25908, but Felix suggested keeping just the R version as they hadn't been technically deprecated. I'd like to revisit that. Do we really want the inconsistency? I'm not against reverting it again, but then that implies leaving SQLContext.createExternalTable just in Pyspark too, which seems weird.
- I *kept* LogisticRegressionWithSGD, LinearRegressionWithSGD, LassoWithSGD, RidgeRegressionWithSGD in Pyspark, though deprecated, as it is hard to remove them (still used by StreamingLogisticRegressionWithSGD?) and they are not fully removed in Scala. Maybe should not have been deprecated.
### Why are the changes needed?
Deprecated items are easiest to remove in a major release, so we should do so as much as possible for Spark 3. This does not target items deprecated 'recently' as of Spark 2.3, which is still 18 months old.
### Does this PR introduce any user-facing change?
Yes, in that deprecated items are removed from some public APIs.
### How was this patch tested?
Existing tests.
Closes#25684 from srowen/SPARK-28980.
Lead-authored-by: Sean Owen <sean.owen@databricks.com>
Co-authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
### What changes were proposed in this pull request?
Upgrade netty-all to latest in the 4.1.x line which is 4.1.39-Final.
### Why are the changes needed?
Currency of dependencies.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Existing unit-tests against master branch.
Closes#25712 from n-marion/master.
Authored-by: Nicholas Marion <nmarion@us.ibm.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
We are adding other resource type support to the executors and Spark. We should show the resource information for each executor on the UI Executors page.
This also adds a toggle button to show the resources column. It is off by default.
### Why are the changes needed?
to show user what resources the executors have. Like Gpus, fpgas, etc
### Does this PR introduce any user-facing change?
Yes introduces UI and rest api changes to show the resources
### How was this patch tested?
Unit tests and manual UI tests on yarn and standalone modes.
Closes#25613 from tgravescs/SPARK-27489-gpu-ui-latest.
Authored-by: Thomas Graves <tgraves@nvidia.com>
Signed-off-by: Gengliang Wang <gengliang.wang@databricks.com>
### What changes were proposed in this pull request?
Upgrade kubernetes client from 4.1.2 to 4.4.2
### Why are the changes needed?
To fix compatibility issue with EKS since Amazon rolled out some security patches over the past week; 1.15.3, 1.14.6, 1.13.10, 1.12.10, and 1.11.10.
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Pass the Jenkins and manually test on EKS.
Closes#25640 from andygrove/SPARK-28921.
Authored-by: Andy Grove <andygrove73@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR adds a release announce template.
### Why are the changes needed?
- We want to use a formal template including HTTPS in the future release.
- The future release managers don't need to search mailing list to find this form.
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
N/A.
Closes#25656 from dongjoon-hyun/SPARK-28951.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
i broke run-tests.py for non-PRB builds in this PR:
https://github.com/apache/spark/pull/25423
### Why are the changes needed?
to fix what i broke
### Does this PR introduce any user-facing change?
no
### How was this patch tested?
the build system will test this
Closes#25585 from shaneknapp/fix-run-tests.
Authored-by: shane knapp <incomplete@gmail.com>
Signed-off-by: shane knapp <incomplete@gmail.com>
## What changes were proposed in this pull request?
we need to add the ability to test PRBs against java11.
see comments here: https://github.com/apache/spark/pull/25405
## How was this patch tested?
the build system will test this.
Closes#25423 from shaneknapp/spark-prb-java11.
Authored-by: shane knapp <incomplete@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
This PR aims to specify Jekyll Version explicitly in our release docker image.
### Why are the changes needed?
Recently, Jekyll 4.0 is released and it dropped Ruby 2.3 support.
This breaks our release docker image build.
```
Building native extensions. This could take a while...
ERROR: Error installing jekyll:
jekyll-sass-converter requires Ruby version >= 2.4.0.
```
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
The following should succeed.
```
$ docker build -t spark-rm:test --build-arg UID=501 dev/create-release/spark-rm
...
Successfully tagged spark-rm:test
```
Closes#25578 from dongjoon-hyun/SPARK-28868.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to clean up the commit logs by removing the comments of our PR template.
### Why are the changes needed?
Apache Spark PR template has comments. Sometime we forget to clean up them because GitHub hides them nicely. It would be great if we clean up this. Otherwise, this makes the commit logs too verbose. (There are a few commits already.)
### Does this PR introduce any user-facing change?
No. (only for committers)
### How was this patch tested?
Manually with Python2/Python3.
Closes#25564 from dongjoon-hyun/SPARK-28857.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
### What changes were proposed in this pull request?
Spark uses Netty 4 directly, but also includes Netty 3 only because transitive dependencies do. The dependencies (Hadoop HDFS, Zookeeper, Avro) don't seem to need this dependency as used in Spark. I think we can forcibly remove it to slim down the dependencies.
Previous attempts were blocked by its usage in Flume, but that dependency has gone away.
https://github.com/apache/spark/pull/15436
### Why are the changes needed?
Mostly to reduce the transitive dependency size and complexity a little bit and avoid triggering spurious security alerts on Netty 3.x usage.
### Does this PR introduce any user-facing change?
No
### How was this patch tested?
Existing tests
Closes#25544 from srowen/SPARK-17875.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Update Jersey to 2.27+, ideally 2.29, for possible JDK 11 fixes.
## How was this patch tested?
Existing tests.
Closes#25455 from srowen/SPARK-28737.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
### What changes were proposed in this pull request?
This PR aims to upgrade `Janino` from `3.0.13` to `3.0.15` in order to bring the bug fixes. Please note that `3.1.0` is a major refactoring instead of bug fixes. We had better use `3.0.15` and wait for the stabler 3.1.x.
### Why are the changes needed?
This brings the following bug fixes.
**3.0.15 (2019-07-28)**
- Fix overloaded single static method import
**3.0.14 (2019-07-05)**
- Conflict in sbt-assembly
- Overloaded static on-demand imported methods cause a CompileException: Ambiguous static method import
- Handle overloaded static on-demand imports
- Major refactoring of the Java 8 and Java 9 retrofit mechanism
- Added tests for "JLS8 8.6 Instance Initializers" and "JLS8 8.7 Static Initializers"
- Local variables in instance initializers don't work
- Provide an option to keep generated code files
- Added compile error handler and warning handler to ICompiler
### Does this PR introduce any user-facing change?
No.
### How was this patch tested?
Pass the Jenkins with the existing tests.
Closes#25474 from dongjoon-hyun/SPARK-28758.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Update Jackson databind to the latest version for some latest changes.
## How was this patch tested?
Pass the Jenkins.
Closes#25451 from Fokko/fd-bump-jackson-databind.
Lead-authored-by: Fokko Driesprong <fokko@apache.org>
Co-authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
R version 3.6.1 (Action of the Toes) was released on 2019-07-05. This PR aims to upgrade R installation for AppVeyor CI environment.
## How was this patch tested?
Pass the AppVeyor CI.
Closes#25441 from dongjoon-hyun/SPARK-28720.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: DB Tsai <d_tsai@apple.com>
## What changes were proposed in this pull request?
I made an audit and update all dev scripts to support python3. (except `merge_spark_pr.py` which already updated)
## How was this patch tested?
Manual.
Closes#25289 from WeichenXu123/dev_py3.
Authored-by: WeichenXu <weichen.xu@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
This PR aims to improve the `merge-spark-pr` script in the following two ways.
1. `[WIP]` is useful when we show that a PR is not ready for merge. Apache Spark allows merging `WIP` PRs. However, sometime, we accidentally forgot to clean up the title for the completed PRs. We had better warn once more during merging stage and get a confirmation from the committers.
2. We have two kinds of PR titles in terms of the ending period. This PR aims to remove the trailing `dot` since the shorter is the better in the commit title. Also, the PR titles without the trailing `dot` is dominant in the Apache Spark commit logs.
```
$ git log --oneline | grep '[.]$' | wc -l
4090
$ git log --oneline | grep '[^.]$' | wc -l
20747
```
## How was this patch tested?
Manual.
```
$ dev/merge_spark_pr.py
git rev-parse --abbrev-ref HEAD
Which pull request would you like to merge? (e.g. 34): 25157
The PR title has `[WIP]`:
[WIP][SPARK-28396][SQL] Add PathCatalog for data source V2
Continue? (y/n):
```
```
$ dev/merge_spark_pr.py
git rev-parse --abbrev-ref HEAD
Which pull request would you like to merge? (e.g. 34): 25304
I've re-written the title as follows to match the standard format:
Original: [SPARK-28570][CORE][SHUFFLE] Make UnsafeShuffleWriter use the new API.
Modified: [SPARK-28570][CORE][SHUFFLE] Make UnsafeShuffleWriter use the new API
Would you like to use the modified title? (y/n):
```
Closes#25356 from dongjoon-hyun/SPARK-28616.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
CRAN repo changed the key and it causes our release script failure. This is a release blocker for Apache Spark 2.4.4 and 3.0.0.
- https://cran.r-project.org/bin/linux/ubuntu/README.html
```
Err:1 https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/ InRelease
The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 51716619E084DAB9
...
W: GPG error: https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/ InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 51716619E084DAB9
E: The repository 'https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/ InRelease' is not signed.
```
Note that they are reusing `cran35` for R 3.6 although they changed the key.
```
Even though R has moved to version 3.6, for compatibility the sources.list entry still uses the cran3.5 designation.
```
This PR aims to recover the docker image generation first. We will verify the R doc generation in a separate JIRA and PR.
## How was this patch tested?
Manual. After `docker-build.log`, it should continue to the next stage, `Building v3.0.0-rc1`.
```
$ dev/create-release/do-release-docker.sh -d /tmp/spark-3.0.0 -n -s docs
...
Log file: docker-build.log
Building v3.0.0-rc1; output will be at /tmp/spark-3.0.0/output
```
Closes#25339 from dongjoon-hyun/SPARK-28606.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: DB Tsai <d_tsai@apple.com>
## What changes were proposed in this pull request?
Prior to this change, in an executor, on each heartbeat, memory metrics are polled and sent in the heartbeat. The heartbeat interval is 10s by default. With this change, in an executor, memory metrics can optionally be polled in a separate poller at a shorter interval.
For each executor, we use a map of (stageId, stageAttemptId) to (count of running tasks, executor metric peaks) to track what stages are active as well as the per-stage memory metric peaks. When polling the executor memory metrics, we attribute the memory to the active stage(s), and update the peaks. In a heartbeat, we send the per-stage peaks (for stages active at that time), and then reset the peaks. The semantics would be that the per-stage peaks sent in each heartbeat are the peaks since the last heartbeat.
We also keep a map of taskId to memory metric peaks. This tracks the metric peaks during the lifetime of the task. The polling thread updates this as well. At end of a task, we send the peak metric values in the task result. In case of task failure, we send the peak metric values in the `TaskFailedReason`.
We continue to do the stage-level aggregation in the EventLoggingListener.
For the driver, we still only poll on heartbeats. What the driver sends will be the current values of the metrics in the driver at the time of the heartbeat. This is semantically the same as before.
## How was this patch tested?
Unit tests. Manually tested applications on an actual system and checked the event logs; the metrics appear in the SparkListenerTaskEnd and SparkListenerStageExecutorMetrics events.
Closes#23767 from wypoon/wypoon_SPARK-26329.
Authored-by: Wing Yew Poon <wypoon@cloudera.com>
Signed-off-by: Imran Rashid <irashid@cloudera.com>
## What changes were proposed in this pull request?
This PR aims to update `zstd-jni` library to bring the latest improvement and bug fixes in `1.4.1` and `1.4.2`.
- https://github.com/facebook/zstd/releases/tag/v1.4.1 (4.5 ~ 11.8% performance improvement from v1.4.0 and bug fixes)
- https://github.com/facebook/zstd/releases/tag/v1.4.2 (bug fixes)
## How was this patch tested?
Pass the Jenkins.
Closes#25275 from dongjoon-hyun/SPARK-28544.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Unlike the other versions, `x.x.0-SNAPSHOT` causes `x.x.-1`. Although this will not happen in the tags (there is no `SNAPSHOT` postfix), we had better fix this.
```
$ dev/create-release/do-release-docker.sh -d /tmp/spark-3.0.0 -n
Output directory already exists. Overwrite and continue? [y/n] y
Branch [branch-2.4]: master
Current branch version is 3.0.0-SNAPSHOT.
Release [3.0.-1]:
```
Since we already have `RELEASE_VERSION` by removing `SNAPSHOT`. This PR uses `RELEASE_VERSION` instead of `VERSION`.
```
$ dev/create-release/do-release-docker.sh -d /tmp/spark-3.0.0 -n
Branch [branch-2.4]: master
Current branch version is 3.0.0-SNAPSHOT.
Release [3.0.0]:
```
## How was this patch tested?
Manually do `dev/create-release/do-release-docker.sh -d /tmp/spark-3.0.0 -n` and see the default value of `Release`.
Closes#25254 from dongjoon-hyun/SPARK-28511.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
There are two cases when we use `dry run`.
First, when the tag already exists, we can ask `confirmation` on the existing tag name.
```
$ dev/create-release/do-release-docker.sh -d /tmp/spark-2.4.4 -n -s docs
Output directory already exists. Overwrite and continue? [y/n] y
Branch [branch-2.4]:
Current branch version is 2.4.4-SNAPSHOT.
Release [2.4.4]: 2.4.3
RC # [1]:
v2.4.3-rc1 already exists. Continue anyway [y/n]? y
This is a dry run. Please confirm the ref that will be built for testing.
Ref [v2.4.3-rc1]:
```
Second, when the tag doesn't exist, we had better ask `confirmation` on the branch name. If we do not change the default value, it will fail eventually.
```
$ dev/create-release/do-release-docker.sh -d /tmp/spark-2.4.4 -n -s docs
Branch [branch-2.4]:
Current branch version is 2.4.4-SNAPSHOT.
Release [2.4.4]:
RC # [1]:
This is a dry run. Please confirm the ref that will be built for testing.
Ref [v2.4.4-rc1]:
```
This PR improves the second case by providing the branch name instead. This helps the release testing before tagging.
## How was this patch tested?
Manually do the following and check the default value of `Ref` field.
```
$ dev/create-release/do-release-docker.sh -d /tmp/spark-2.4.4 -n -s docs
Branch [branch-2.4]:
Current branch version is 2.4.4-SNAPSHOT.
Release [2.4.4]:
RC # [1]:
This is a dry run. Please confirm the ref that will be built for testing.
Ref [branch-2.4]:
...
```
Closes#25240 from dongjoon-hyun/SPARK-28496.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>
## What changes were proposed in this pull request?
This upgraded to a newer version of Pyrolite. Most updates [1] in the newer version are for dotnot. For java, it includes a bug fix to Unpickler regarding cleaning up Unpickler memo, and support of protocol 5.
After upgrading, we can remove the fix at SPARK-27629 for the bug in Unpickler.
[1] https://github.com/irmen/Pyrolite/compare/pyrolite-4.23...master
## How was this patch tested?
Manually tested on Python 3.6 in local on existing tests.
Closes#25143 from viirya/upgrade-pyrolite.
Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
`dev/merge_spark_pr.py` script always fail for some users because they have different `name` and `key`.
- https://issues.apache.org/jira/rest/api/2/user?username=yumwang
JIRA Client expects `name`, but we are using `key`. This PR fixes it.
```python
# This is JIRA client code `/usr/local/lib/python2.7/site-packages/jira/client.py`
def assign_issue(self, issue, assignee):
"""Assign an issue to a user. None will set it to unassigned. -1 will set it to Automatic.
:param issue: the issue ID or key to assign
:param assignee: the user to assign the issue to
:type issue: int or str
:type assignee: str
:rtype: bool
"""
url = self._options['server'] + \
'/rest/api/latest/issue/' + str(issue) + '/assignee'
payload = {'name': assignee}
r = self._session.put(
url, data=json.dumps(payload))
raise_on_error(r)
return True
```
## How was this patch tested?
Manual with the committer ID/password.
```python
import jira.client
asf_jira = jira.client.JIRA({'server': 'https://issues.apache.org/jira'}, basic_auth=('yourid', 'passwd'))
asf_jira.assign_issue("SPARK-28354", "q79969786") # This will raise exception.
asf_jira.assign_issue("SPARK-28354", "yumwang") # This works.
```
Closes#25120 from dongjoon-hyun/SPARK-28354.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Mainly change logs:
### Version 3.0.13:
- Support for JDK 9/10 in Full Compiler
- The syntax elements that can have modifiers now all have sets of "is...()" methods that check for each modifier. Some also have methods "getAccess()" and/or "getAnnotations()".
- Implement "type annotations" (JLS8 9.7.4)
- Implemented parsing (but not compilation) of "modular compilation units" (JLS11 7.3).
- Replaced all "assert...Uncookable(..., Pattern messageRegex)" and "assert...Uncookable(..., String messageInfix)" method pairs with a single "assert...Uncookable(..., String messageRegex)" method.
Minor refactoring: Allowed modifiers are now checked in the Parser, not in Java.*. This saves a lot of THROWS clauses.
- Parse Type inference syntax: Type inference for generic instance creation implemented, test cases added.
- Parse MethodReference, ClassInstanceCreationReference and ArrayCreationReference
### Version 3.0.12
- Fixed: Operator "&" not defined on types "java.lang.Long" and "int"
- Major bug in JavaSourceClassLoader: When loading the second and following classes, CUs were compiled again, leading to an inconsistent class hierarchy.
- Fixed: Java 9 added "Override public final CharBuffer CharBuffer.rewind() { ..." -- leads easily to a java.lang.NoSuchMethodError
- Changed all occurences of the words "Java bytecode" to "JVM bytecode" to make clearer that the generated bytecode is for the JVMS and not suitable for, e.g. DALVIK.
http://janino-compiler.github.io/janino/changelog.html
## How was this patch tested?
Existing test
Closes#25021 from wangyum/SPARK-28221.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This PR proposes to remove cloned `pyspark-coverage-site` repo.
it doesn't looks a problem in PR builder but somehow it's problematic in `spark-master-test-sbt-hadoop-2.7`.
## How was this patch tested?
Jenkins.
Closes#23729 from HyukjinKwon/followup-coverage.
Lead-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: shane knapp <incomplete@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
This PR aims to update `xbean-asm7-shaded` to bring [XBEAN-318](https://issues.apache.org/jira/browse/XBEAN-318) which is helpful to log the class definition reading failures.
- https://issues.apache.org/jira/projects/XBEAN/versions/12345220
## How was this patch tested?
Pass the Jenkins.
Closes#24914 from dongjoon-hyun/SPARK-28111.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
We're using an old-ish jQuery, 1.12.4, and should probably update for Spark 3 to keep up in general, but also to keep up with CVEs. In fact, we know of at least one resolved in only 3.4.0+ (https://nvd.nist.gov/vuln/detail/CVE-2019-11358). They may not affect Spark, but, if the update isn't painful, maybe worthwhile in order to make future 3.x updates easier.
jQuery 1 -> 2 doesn't sound like a breaking change, as 2.0 is supposed to maintain compatibility with 1.9+ (https://blog.jquery.com/2013/04/18/jquery-2-0-released/)
2 -> 3 has breaking changes: https://jquery.com/upgrade-guide/3.0/. It's hard to evaluate each one, but the most likely area for problems is in ajax(). However, our usage of jQuery (and plugins) is pretty simple.
Update jquery to 3.4.1; update jquery blockUI and mustache to latest
## How was this patch tested?
Manual testing of docs build (except R docs), worker/master UI, spark application UI.
Note: this really doesn't guarantee it works, as our tests can't test javascript, and this is merely anecdotal testing, although I clicked about every link I could find. There's a risk this breaks a minor part of the UI; it does seem to work fine in the main.
Closes#24843 from srowen/SPARK-28004.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This PR aims to expose JIRA issue component types at GitHub PRs.
## How was this patch tested?
Manual.
```
$ export GITHUB_OAUTH_KEY=...
$ export JIRA_PASSWORD=...
$ export GITHUB_API_BASE='https://api.github.com/repos/your-id/spark'
$ dev/github_jira_sync.py
```
Please note that the existing script will raise the following exceptions if your repo has less than 100 PRs. This will be handled at #24874 .
```
Traceback (most recent call last):
File "dev/github_jira_sync.py", line 139, in <module>
jira_prs = get_jira_prs()
File "dev/github_jira_sync.py", line 83, in get_jira_prs
link_header = filter(lambda k: k.startswith("Link"), page.info().headers)[0]
IndexError: list index out of range
```
That is beyond the scope of this PR.
Closes#24871 from dongjoon-hyun/SPARK-28051.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Currently, `github_jira_sync.py` assumes that there is `Link` always. However, it will fail when the number of the open PR is less than 100 (the default paging number). It will not happen in Apache Spark, but we had better fix that because it happens during review process for `github_jira_sync.py` script.
```
Traceback (most recent call last):
File "dev/github_jira_sync.py", line 139, in <module>
jira_prs = get_jira_prs()
File "dev/github_jira_sync.py", line 83, in get_jira_prs
link_header = filter(lambda k: k.startswith("Link"), page.info().headers)[0]
IndexError: list index out of range
```
## How was this patch tested?
Manually check with another repo which has small number of open PRs (< 100).
```
$ export JIRA_PASSWORD=...
$ export GITHUB_API_BASE='https://api.github.com/repos/your-id/spark'
$ dev/github_jira_sync.py
```
Closes#24874 from dongjoon-hyun/SPARK-28053.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
This is a second try of #24824.
Since Apache Spark 2.0.0, SPARK-14867 deprecated `--force` option and made it ignored. This PR cleans up the related code completely at 3.0.0.
**BEFORE (Jenkins)**
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using Maven with these arguments: -Phadoop-2.7 -Pkubernetes -Phive-thriftserver -Pkinesis-asl -Pyarn -Pspark-ganglia-lgpl -Phive -Pmesos clean package -DskipTests
WARNING: '--force' is deprecated and ignored.
...
========================================================================
Running Spark unit tests
========================================================================
[info] Running Spark tests using Maven with these arguments: -Phadoop-2.7 -Phive-thriftserver -Phive -Dtest.exclude.tags=org.apache.spark.tags.ExtendedHiveTest,org.apache.spark.tags.ExtendedYarnTest test --fail-at-end
WARNING: '--force' is deprecated and ignored.
```
**AFTER (Jenkins)**
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using Maven with these arguments: -Phadoop-2.7 -Pkubernetes -Phive-thriftserver -Pkinesis-asl -Pyarn -Pspark-ganglia-lgpl -Phive -Pmesos clean package -DskipTests
...
========================================================================
Running Spark unit tests
========================================================================
[info] Running Spark tests using Maven with these arguments: -Phadoop-2.7 -Pkubernetes -Phive-thriftserver -Pyarn -Pspark-ganglia-lgpl -Phive -Pkinesis-asl -Pmesos -Dtest.exclude.tags=org.apache.spark.tags.ExtendedHiveTest,org.apache.spark.tags.ExtendedYarnTest test --fail-at-end
```
## How was this patch tested?
Manually check the Jenkins logs.
Closes#24833 from dongjoon-hyun/SPARK-FORCE-2.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This PR introduces the necessary Maven modules for the new [Spark Graph](https://issues.apache.org/jira/browse/SPARK-25994) feature for Spark 3.0.
* `spark-graph` is a parent module that users depend on to get all graph functionalities (Cypher and Graph Algorithms)
* `spark-graph-api` defines the [Property Graph API](https://docs.google.com/document/d/1Wxzghj0PvpOVu7XD1iA8uonRYhexwn18utdcTxtkxlI) that is being shared between Cypher and Algorithms
* `spark-cypher` contains a Cypher query engine implementation
Both, `spark-graph-api` and `spark-cypher` depend on Spark SQL.
Note, that the Maven module for Graph Algorithms is not part of this PR and will be introduced in https://issues.apache.org/jira/browse/SPARK-27302
A PoC for a running Cypher implementation can be found in this WIP PR https://github.com/apache/spark/pull/24297
## How was this patch tested?
Pass the Jenkins with all profiles and manually build and check the followings.
```
$ ls assembly/target/scala-2.12/jars/spark-cypher*
assembly/target/scala-2.12/jars/spark-cypher_2.12-3.0.0-SNAPSHOT.jar
$ ls assembly/target/scala-2.12/jars/spark-graph* | grep -v graphx
assembly/target/scala-2.12/jars/spark-graph-api_2.12-3.0.0-SNAPSHOT.jar
assembly/target/scala-2.12/jars/spark-graph_2.12-3.0.0-SNAPSHOT.jar
```
Closes#24490 from s1ck/SPARK-27300.
Lead-authored-by: Martin Junghanns <martin.junghanns@neotechnology.com>
Co-authored-by: Max Kießling <max@kopfueber.org>
Co-authored-by: Martin Junghanns <martin.junghanns@neo4j.com>
Co-authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Since Apache Spark 2.0.0, SPARK-14867 deprecated `--force` option and made it ignored. This PR cleans up the related code completely at 3.0.0.
**BEFORE (Jenkins)**
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using Maven with these arguments: -Phadoop-2.7 -Pkubernetes -Phive-thriftserver -Pkinesis-asl -Pyarn -Pspark-ganglia-lgpl -Phive -Pmesos clean package -DskipTests
WARNING: '--force' is deprecated and ignored.
...
========================================================================
Running Spark unit tests
========================================================================
[info] Running Spark tests using Maven with these arguments: -Phadoop-2.7 -Phive-thriftserver -Phive -Dtest.exclude.tags=org.apache.spark.tags.ExtendedHiveTest,org.apache.spark.tags.ExtendedYarnTest test --fail-at-end
WARNING: '--force' is deprecated and ignored.
```
**AFTER (Jenkins)**
```
========================================================================
Building Spark
========================================================================
[info] Building Spark using Maven with these arguments: -Phadoop-2.7 -Pkubernetes -Phive-thriftserver -Pkinesis-asl -Pyarn -Pspark-ganglia-lgpl -Phive -Pmesos clean package -DskipTests
...
========================================================================
Running Spark unit tests
========================================================================
[info] Running Spark tests using Maven with these arguments: -Phadoop-2.7 -Pkubernetes -Phive-thriftserver -Pyarn -Pspark-ganglia-lgpl -Phive -Pkinesis-asl -Pmesos -Dtest.exclude.tags=org.apache.spark.tags.ExtendedHiveTest,org.apache.spark.tags.ExtendedYarnTest test --fail-at-end
```
## How was this patch tested?
Manually check the Jenkins logs.
Closes#24824 from dongjoon-hyun/SPARK-27979.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Move to json4s version 3.6.6
Add scala-xml 1.2.0
## How was this patch tested?
Pass the Jenkins
Closes#24736 from igreenfield/master.
Authored-by: Izek Greenfield <igreenfield@axiomsl.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
This fixes CVE-2019-12086 on Databind: https://github.com/FasterXML/jackson/wiki/Jackson-Release-2.9.9
## How was this patch tested?
Existing tests
Closes#24646 from Fokko/SPARK-27757.
Authored-by: Fokko Driesprong <fokko@apache.org>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
R 3.6.0 is released 2019-04-26. This PR targets to change R version from 3.5.1 to 3.6.0 in AppVeyor.
This PR sets `R_REMOTES_NO_ERRORS_FROM_WARNINGS` to `true` to avoid the warnings below:
```
Error in strptime(xx, f, tz = tz) :
(converted from warning) unable to identify current timezone 'C':
please set environment variable 'TZ'
Error in i.p(...) :
(converted from warning) installation of package 'praise' had non-zero exit status
Calls: <Anonymous> ... with_rprofile_user -> with_envvar -> force -> force -> i.p
Execution halted
```
## How was this patch tested?
AppVeyor
Closes#24716 from HyukjinKwon/SPARK-27848.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Use https URL for CRAN repo (and for a Scala download in a Dockerfile)
## How was this patch tested?
Existing tests.
Closes#24664 from srowen/SPARK-27794.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Tighten up some key links to the project and download pages to use HTTPS
## How was this patch tested?
N/A
Closes#24665 from srowen/HTTPSURLs.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This PR excludes 'hive-thriftserver' in modules to test for hadoop3.2 for now as well
## How was this patch tested?
Manually tested via `run-tests.py`
Closes#24644 from HyukjinKwon/SPARK-27402.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This PR aims to update `zstd-jni` library to `1.4.0-1` which improves the `level 1 compression speed` performance by 6% in most scenarios. The following is the full release note.
- https://github.com/facebook/zstd/releases/tag/v1.4.0
## How was this patch tested?
Pass the Jenkins.
Closes#24632 from dongjoon-hyun/SPARK-27755.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This PR upgrades lz4-java from 1.5.1 to 1.6.0. Lz4-java is available at https://github.com/lz4/lz4-java.
Changes from 1.5.1:
- Upgraded LZ4 to 1.9.1. Updated the JNI bindings, except for the one for Linux/i386. Decompression speed is improved on amd64.
- Deprecated use of LZ4FastDecompressor of a native instance because the corresponding C API function is deprecated. See the release note of LZ4 1.9.0 for details. Updated javadoc accordingly.
- Changed the module name from org.lz4.lz4-java to org.lz4.java to avoid using - in the module name. (severn-everett, Oliver Eikemeier, Rei Odaira)
- Enabled build with Java 11. Note that the distribution is still built with Java 7. (Rei Odaira)
## How was this patch tested?
Existing tests.
Closes#24629 from kiszk/SPARK-27752.
Authored-by: Kazuaki Ishizaki <ishizaki@jp.ibm.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This pr fix hadoop-3.2 test issues(except the `hive-thriftserver` module):
1. Add `hive.metastore.schema.verification` and `datanucleus.schema.autoCreateAll` to HiveConf.
2. hadoop-3.2 support access the Hive metastore from 0.12 to 2.2
After [SPARK-27176](https://issues.apache.org/jira/browse/SPARK-27176) and this PR, we upgraded the built-in Hive to 2.3 when enabling the Hadoop 3.2+ profile. This upgrade fixes the following issues:
- [HIVE-6727](https://issues.apache.org/jira/browse/HIVE-6727): Table level stats for external tables are set incorrectly.
- [HIVE-15653](https://issues.apache.org/jira/browse/HIVE-15653): Some ALTER TABLE commands drop table stats.
- [SPARK-12014](https://issues.apache.org/jira/browse/SPARK-12014): Spark SQL query containing semicolon is broken in Beeline.
- [SPARK-25193](https://issues.apache.org/jira/browse/SPARK-25193): insert overwrite doesn't throw exception when drop old data fails.
- [SPARK-25919](https://issues.apache.org/jira/browse/SPARK-25919): Date value corrupts when tables are "ParquetHiveSerDe" formatted and target table is Partitioned.
- [SPARK-26332](https://issues.apache.org/jira/browse/SPARK-26332): Spark sql write orc table on viewFS throws exception.
- [SPARK-26437](https://issues.apache.org/jira/browse/SPARK-26437): Decimal data becomes bigint to query, unable to query.
## How was this patch tested?
This pr test Spark’s Hadoop 3.2 profile on jenkins and #24591 test Spark’s Hadoop 2.7 profile on jenkins
This PR close#24591Closes#24391 from wangyum/SPARK-27402.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: gatorsmile <gatorsmile@gmail.com>
## What changes were proposed in this pull request?
This PR aims to upgrade Maven to 3.6.1 to bring JDK9+ related patches like [MNG-6506](https://issues.apache.org/jira/browse/MNG-6506). For the full release note, please see the following.
- https://maven.apache.org/docs/3.6.1/release-notes.html
This was committed and reverted due to AppVeyor failure. It turns out that the root cause is `PATH` issue. With the updated AppVeyor script, it passed.
https://ci.appveyor.com/project/ApacheSoftwareFoundation/spark/builds/24273412
## How was this patch tested?
Pass the Jenkins and AppVoyer
Closes#24481 from dongjoon-hyun/SPARK-R.
Lead-authored-by: Dongjoon Hyun <dhyun@apple.com>
Co-authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
PR #23890 introduced `org.glassfish.jaxb:jaxb-runtime:2.3.2` as a runtime dependency. As an unexpected side effect, `jakarta.activation:jakarta.activation-api:1.2.1` was also pulled in as a transitive dependency. As a result, for the Maven build, both of the following two jars can be found under `assembly/target/scala-2.12/jars/`:
```
activation-1.1.1.jar
jakarta.activation-api-1.2.1.jar
```
This PR exludes the Jakarta one.
Manually built Spark using Maven and checked files under `assembly/target/scala-2.12/jars/`. After this change, only `activation-1.1.1.jar` is there.
Closes#24507 from liancheng/spark-27611.
Authored-by: Cheng Lian <lian@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Update the `docs/building-spark.md`. Otherwise:
```
mvn package -DskipTests=true
...
[INFO] --- maven-enforcer-plugin:3.0.0-M2:enforce (enforce-versions) spark-parent_2.12 ---
[WARNING] Rule 0: org.apache.maven.plugins.enforcer.RequireMavenVersion failed with message:
Detected Maven Version: 3.6.0 is not in the allowed range 3.6.1.
...
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-enforcer-plugin:3.0.0-M2:enforce (enforce-versions) on project spark-parent_2.12: Some Enforcer rules have failed. Look above for specific messages explaining why the rule failed. -> [Help 1]
[ERROR]
...
```
## How was this patch tested?
Just test `https://archive.apache.org/dist/maven/maven-3/3.6.1/binaries/apache-maven-3.6.1-bin.zip` is avilable.
Closes#24477 from wangyum/SPARK-27467.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
```
========================================================================
Building Spark
========================================================================
[info] Building Spark (w/Hive 1.2.1) using SBT with these arguments: -Phadoop-3.2 -Pkubernetes -Phive-thriftserver -Pkinesis-asl -Pyarn -Pspark-ganglia-lgpl -Phive -Pmesos test:package streaming-kinesis-asl-assembly/assembly
```
`(w/Hive 1.2.1)` is incorrect when testing hadoop-3.2, It's should be (w/Hive 2.3.4).
This pr removes `(w/Hive 1.2.1)` in run-tests.py.
## How was this patch tested?
N/A
Closes#24451 from wangyum/run-tests-invalid-info.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
have jenkins test against python3.6 (instead of 3.4).
## How was this patch tested?
extensive testing on both the centos and ubuntu jenkins workers.
NOTE: this will need to be backported to all active branches.
Closes#24266 from shaneknapp/updating-python3-executable.
Authored-by: shane knapp <incomplete@gmail.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Update pyrolite to 4.23 to pick up bug and security fixes.
## How was this patch tested?
Existing tests.
Closes#24381 from srowen/SPARK-27470.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Unify commons-beanutils deps to latest 1.9.3. This resolves the version inconsistency in Hadoop 2.7's build and also picks up security and bug fixes.
## How was this patch tested?
Existing tests.
Closes#24378 from srowen/SPARK-27469.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This PR upgrades `lz4-java` to 1.5.1 in order to get a patch for avoiding racing with GC.
- https://github.com/lz4/lz4-java/blob/master/CHANGES.md#151
## How was this patch tested?
Pass the Jenkins with the existing tests.
Closes#24363 from dongjoon-hyun/SPARK-LZ4.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
This PR mainly contains:
1. Upgrade hadoop-3's built-in Hive maven dependencies to 2.3.4.
2. Resolve compatibility issues between Hive 1.2.1 and Hive 2.3.4 in the `sql/hive` module.
## How was this patch tested?
jenkins test hadoop-2.7
manual test hadoop-3:
```shell
build/sbt clean package -Phadoop-3.2 -Phive
export SPARK_PREPEND_CLASSES=true
# rm -rf metastore_db
cat <<EOF > test_hadoop3.scala
spark.range(10).write.saveAsTable("test_hadoop3")
spark.table("test_hadoop3").show
EOF
bin/spark-shell --conf spark.hadoop.hive.metastore.schema.verification=false --conf spark.hadoop.datanucleus.schema.autoCreateAll=true -i test_hadoop3.scala
```
Closes#23788 from wangyum/SPARK-23710-hadoop3.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: gatorsmile <gatorsmile@gmail.com>
## What changes were proposed in this pull request?
Update jquery -> 1.12.4, datatables -> 1.10.18, mustache -> 2.3.12.
Add missing mustache license
## How was this patch tested?
I manually tested the UI locally with the javascript console open and didn't observe any problems or JS errors. The only 'risky' change seems to be mustache, but on reading its release notes, don't think the changes from 0.8.1 to 2.x would affect Spark's simple usage.
Closes#24288 from srowen/SPARK-27358.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
HighlyCompressedMapStatus uses RoaringBitmap to record the empty blocks. But RoaringBitmap couldn't be ser/deser with unsafe KryoSerializer.
It's a bug of RoaringBitmap-0.5.11 and fixed in latest version.
This is an update of #24157
## How was this patch tested?
Add a UT
Closes#24264 from LantaoJin/SPARK-27216.
Lead-authored-by: LantaoJin <jinlantao@gmail.com>
Co-authored-by: Lantao Jin <jinlantao@gmail.com>
Signed-off-by: Imran Rashid <irashid@cloudera.com>
## What changes were proposed in this pull request?
Fix testing issues with `yarn` module in Hadoop-3:
1. Upgrade jersey-1 to `1.19` to fix ```Cause: java.lang.NoClassDefFoundError: com/sun/jersey/spi/container/servlet/ServletContainer```.
2. Copy `ServerSocketUtil` from hadoop-common-project/hadoop-common/src/test/java/org/apache/hadoop/net/ServerSocketUtil.java to fix ```java.lang.NoClassDefFoundError: org/apache/hadoop/net/ServerSocketUtil```.
3. Adapte `SessionHandler` from jetty-9.3.25.v20180904/jetty-server/src/main/java/org/eclipse/jetty/server/session/SessionHandler.java to fix ```java.lang.NoSuchMethodError: org.eclipse.jetty.server.session.SessionHandler.getSessionManager()Lorg/eclipse/jetty/server/SessionManager```.
## How was this patch tested?
manual tests:
```shell
build/sbt yarn/test -Pyarn
build/sbt yarn/test -Phadoop-3.2 -Pyarn
build/mvn -Dtest=none -DwildcardSuites=org.apache.spark.deploy.yarn.YarnClusterSuite -pl resource-managers/yarn test -Pyarn
build/mvn -Dtest=none -DwildcardSuites=org.apache.spark.deploy.yarn.YarnClusterSuite -pl resource-managers/yarn test -Pyarn -Phadoop-3.2
```
Closes#24115 from wangyum/hadoop3-yarn.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
Add AL2 license to metadata of all .md files.
This seemed to be the tidiest way as it will get ignored by .md renderers and other tools. Attempts to write them as markdown comments revealed that there is no such standard thing.
## How was this patch tested?
Doc build
Closes#24243 from srowen/SPARK-26918.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
(See JIRA for problem statement)
Update snappy 1.1.7.1 -> 1.1.7.3 to pick up an empty-stream and Java 9 fix.
There appear to be no other changes of consequence:
https://github.com/xerial/snappy-java/blob/master/Milestone.md
## How was this patch tested?
Existing tests
Closes#24242 from srowen/SPARK-27267.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
I happened to meet this case few times before:
```
Enter comma-separated fix version(s) [3.0.0]: 3.0,0
Restoring head pointer to master
git checkout master
Already on 'master'
git branch
Traceback (most recent call last):
File "./dev/merge_spark_pr_jira.py", line 537, in <module>
main()
File "./dev/merge_spark_pr_jira.py", line 523, in main
resolve_jira_issues(title, merged_refs, jira_comment)
File "./dev/merge_spark_pr_jira.py", line 359, in resolve_jira_issues
resolve_jira_issue(merge_branches, comment, jira_id)
File "./dev/merge_spark_pr_jira.py", line 302, in resolve_jira_issue
jira_fix_versions = map(lambda v: get_version_json(v), fix_versions)
File "./dev/merge_spark_pr_jira.py", line 302, in <lambda>
jira_fix_versions = map(lambda v: get_version_json(v), fix_versions)
File "./dev/merge_spark_pr_jira.py", line 300, in get_version_json
return filter(lambda v: v.name == version_str, versions)[0].raw
IndexError: list index out of range
```
I typed the fix version wrongly (there's comma in `3.0,0`) and it ended the loop in the merge script. Not a big deal but it bugged me few times. Finally I met this today again, and decided to fix.
This PR proposes to recover from wrongly set fix versions.
## How was this patch tested?
I manually copied and pasted the specific codes and tested separately in both Python 2 and Python 3.
**Positive cases:**
```
Enter comma-separated fix version(s) [3.0.0]: # blank test (to use default)
['3.0.0']
```
```
Enter comma-separated fix version(s) [3.0.0,2.4.2]: # multiple default versions
['3.0.0', '2.4.2']
```
```
Enter comma-separated fix version(s) [3.0.0]: 2.4.1 # valid version
['2.4.1']
```
```
Enter comma-separated fix version(s) [3.0.0]: 3.0.0,2.4.2 # multiple valid versions
['3.0.0', '2.4.2']
```
**Keyboard interrupt(Ctrl + c):**
```
Enter comma-separated fix version(s) [3.0.0]: ^CTraceback (most recent call last): # keyboard interrupt
File "test_merge_script.py", line 45, in <module>
test()
File "test_merge_script.py", line 26, in test
fix_versions = input("Enter comma-separated fix version(s) [%s]: " % default_fix_versions)
KeyboardInterrupt
```
**Wrongly typed versions (recovered):**
```
Enter comma-separated fix version(s) [3.0.0]: 3.1
Specified version(s) [3.1] not found in the available versions, try again (or leave blank and fix manually).
Enter comma-separated fix version(s) [3.0.0]: 123
Specified version(s) [123] not found in the available versions, try again (or leave blank and fix manually).
Enter comma-separated fix version(s) [3.0.0]: 3.0,0
Specified version(s) [3.0, 0] not found in the available versions, try again (or leave blank and fix manually).
Enter comma-separated fix version(s) [3.0.0]: damn
Specified version(s) [damn] not found in the available versions, try again (or leave blank and fix manually).
Enter comma-separated fix version(s) [3.0.0]: 3.0.0,2.5.2 # one invalid versions in multiple versions
Specified version(s) [3.0.0, 2.5.2] not found in the available versions, try again (or leave blank and fix manually).
```
**Arbitrary exceptions in fix version parsing (recovered)**
```
Enter comma-separated fix version(s) [3.0.0]:
Traceback (most recent call last):
File "tmp.py", line 11, in <module>
raise Exception("arbitrary exception")
Exception: arbitrary exception
Error setting fix version(s), try again (or leave blank and fix manually)
Enter comma-separated fix version(s) [3.0.0]:
Traceback (most recent call last):
File "tmp.py", line 10, in <module>
raise Exception("arbitrary exception")
Exception: arbitrary exception
Error setting fix version(s), try again (or leave blank and fix manually)
Enter comma-separated fix version(s) [3.0.0]:
```
Closes#24213 from HyukjinKwon/merge_script_fix_version.
Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Remove Scala 2.11 support in build files and docs, and in various parts of code that accommodated 2.11. See some targeted comments below.
## How was this patch tested?
Existing tests.
Closes#23098 from srowen/SPARK-26132.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
This PR upgrade `hadoop-3` to `3.2.0` to workaround [HADOOP-16086](https://issues.apache.org/jira/browse/HADOOP-16086). Otherwise some test case will throw IllegalArgumentException:
```java
02:44:34.707 ERROR org.apache.hadoop.hive.ql.exec.Task: Job Submission failed with exception 'java.io.IOException(Cannot initialize Cluster. Please check your configuration for mapreduce.framework.name and the correspond server addresses.)'
java.io.IOException: Cannot initialize Cluster. Please check your configuration for mapreduce.framework.name and the correspond server addresses.
at org.apache.hadoop.mapreduce.Cluster.initialize(Cluster.java:116)
at org.apache.hadoop.mapreduce.Cluster.<init>(Cluster.java:109)
at org.apache.hadoop.mapreduce.Cluster.<init>(Cluster.java:102)
at org.apache.hadoop.mapred.JobClient.init(JobClient.java:475)
at org.apache.hadoop.mapred.JobClient.<init>(JobClient.java:454)
at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:369)
at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:151)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:199)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:100)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:2183)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1839)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1526)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1237)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1227)
at org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$runHive$1(HiveClientImpl.scala:730)
at org.apache.spark.sql.hive.client.HiveClientImpl.$anonfun$withHiveState$1(HiveClientImpl.scala:283)
at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:221)
at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:220)
at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:266)
at org.apache.spark.sql.hive.client.HiveClientImpl.runHive(HiveClientImpl.scala:719)
at org.apache.spark.sql.hive.client.HiveClientImpl.runSqlHive(HiveClientImpl.scala:709)
at org.apache.spark.sql.hive.StatisticsSuite.createNonPartitionedTable(StatisticsSuite.scala:719)
at org.apache.spark.sql.hive.StatisticsSuite.$anonfun$testAlterTableProperties$2(StatisticsSuite.scala:822)
```
## How was this patch tested?
manual tests
Closes#24106 from wangyum/SPARK-27175.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
This PR aims to update Apache ORC dependency to fix [SPARK-27107](https://issues.apache.org/jira/browse/SPARK-27107) .
```
[ORC-452] Support converting MAP column from JSON to ORC Improvement
[ORC-447] Change the docker scripts to keep a persistent m2 cache
[ORC-463] Add `version` command
[ORC-475] ORC reader should lazily get filesystem
[ORC-476] Make SearchAgument kryo buffer size configurable
```
## How was this patch tested?
Pass the Jenkins with the existing tests.
Closes#24096 from dongjoon-hyun/SPARK-27165.
Authored-by: Dongjoon Hyun <dhyun@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
`dev/mima` and `dev/scalastyle` support dynamic reading profiles from `modules.py`.
## How was this patch tested?
manual tests
Closes#24089 from wangyum/SPARK-27158.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
This PR makes it automatically select profile when executing `sbt-checkstyle`. The reason for this is that `hadoop-2.7` and `hadoop-3.1` may have different `hive-thriftserver` module in the future.
## How was this patch tested?
manual tests:
```
Update AbstractService.java file.
export HADOOP_PROFILE=hadoop2.7
./dev/run-tests
```
The result:
Closes#24065 from wangyum/SPARK-27130.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Add `test-hadoop3.1` phrase to test Spark against Spark’s Hadoop 3.1 profile.
## How was this patch tested?
Tested on jenkins. This is output:
```
[info] Using build tool sbt with Hadoop profile hadoop3.1 under environment amplab_jenkins
...
[info] Building Spark (w/Hive 1.2.1) using SBT with these arguments: -Phadoop-3.1 -Pkubernetes -Phive-thriftserver -Pkinesis-asl -Pyarn -Pspark-ganglia-lgpl -Phive -Pmesos test:package streaming-kinesis-asl-assembly/assembly
```
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/103282/consoleCloses#24045 from wangyum/SPARK-23807.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Avro is built-in but external data source module since Spark 2.4 but `from_avro` and `to_avro` APIs not yet supported in pyspark.
In this PR I've made them available from pyspark.
## How was this patch tested?
Please see the python API examples what I've added.
cd docs/
SKIP_SCALADOC=1 SKIP_RDOC=1 SKIP_SQLDOC=1 jekyll build
Manual webpage check.
Closes#23797 from gaborgsomogyi/SPARK-26856.
Authored-by: Gabor Somogyi <gabor.g.somogyi@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
**ScalaTest 3.0.5 Release Notes**
**Bug Fixes**
- Fixed the implicit view not available problem when used with compile macro.
- Fixed a stack depth problem in RefSpecLike and fixture.SpecLike under Scala 2.13.
- Changed Framework and ScalaTestFramework to set spanScaleFactor for Runner object instances for different Runners using different class loaders. This fixed a problem whereby an incorrect Runner.spanScaleFactor could be used when the tests for multiple sbt project's were run concurrently.
- Fixed a bug in endsWith regex matcher.
**Improvements**
- Removed duplicated parsing code for -C in ArgsParser.
- Improved performance in WebBrowser.
- Documentation typo rectification.
- Improve validity of Junit XML reports.
- Improved performance by replacing all .size == 0 and .length == 0 to .isEmpty.
**Enhancements**
- Added 'C' option to -P, which will tell -P to use cached thread pool.
- External Dependencies Update
- Bumped up scala-js version to 0.6.22.
- Changed to depend on mockito-core, not mockito-all.
- Bumped up jmock version to 2.8.3.
- Bumped up junit version to 4.12.
- Removed dependency to scala-parser-combinators.
More details:
http://www.scalatest.org/release_notes/3.0.5
## How was this patch tested?
manual tests on local machine:
```
nohup build/sbt clean -Djline.terminal=jline.UnsupportedTerminal -Phadoop-2.7 -Pkubernetes -Phive-thriftserver -Pyarn -Pspark-ganglia-lgpl -Phive -Pkinesis-asl -Pmesos test > run.scalatest.log &
```
Closes#24042 from wangyum/SPARK-27120.
Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Upgrade Docker image for release build to Ubuntu 18.04LTS
## How was this patch tested?
Manually tested.
Closes#23932 from dbtsai/ubuntu18.04.
Authored-by: DB Tsai <d_tsai@apple.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Fasterxml Jackson version before 2.9.8 is affected by multiple [CVEs](https://github.com/FasterXML/jackson-databind/issues/2186), we need to fix bump the dependent Jackson to 2.9.8.
## How was this patch tested?
Existing tests and offline benchmark.
I have run ```SPARK_GENERATE_BENCHMARK_FILES=1 build/sbt "sql/test:runMain org.apache.spark.sql.execution.datasources.json.JSONBenchmark"``` to check there is no performance degradation for this upgrade.
Closes#23965 from yanboliang/SPARK-27051.
Authored-by: Yanbo Liang <ybliang8@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Only memory usage without GC information could not help us to determinate the proper settings of memory. We need the GC metrics about frequency of major & minor GC. For example, two cases, their configured memory for executor are all 10GB and their usages are all near 10GB. So should we increase or decrease the configured memory for them? This metrics may be helpful. We can increase configured memory for the first one if it has very frequency major GC and decrease the second one if only some minor GC and none major GC.
GC metrics are only useful in entire lifetime of executors instead of separated stages.
## How was this patch tested?
Adding UT.
Closes#22874 from LantaoJin/SPARK-25865.
Authored-by: LantaoJin <jinlantao@gmail.com>
Signed-off-by: Imran Rashid <irashid@cloudera.com>
## What changes were proposed in this pull request?
Update Thrift to 0.12.0 to pick up bug and security fixes.
Changes: https://github.com/apache/thrift/blob/master/CHANGES.md
The important one is for https://issues.apache.org/jira/browse/THRIFT-4506
## How was this patch tested?
Existing tests. A quick local test suggests this works.
Closes#23935 from srowen/SPARK-27029.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
## What changes were proposed in this pull request?
Remove a few new JAXB dependencies that shouldn't be necessary now.
See https://github.com/apache/spark/pull/23890#issuecomment-468299922
## How was this patch tested?
Existing tests
Closes#23923 from srowen/SPARK-26986.2.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
Add reference JAXB impl for Java 9+ from Glassfish. Right now it's only apparently necessary in MLlib but can be expanded later.
## How was this patch tested?
Existing tests particularly PMML-related ones, which use JAXB.
This works on Java 11.
Closes#23890 from srowen/SPARK-26986.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
Changed the `kubernetes-client` version to 4.1.2. Latest version fix error with exec credentials (used by aws eks) and this will be used to talk with kubernetes API server. Users can submit spark job to EKS api endpoint now with this patch.
## How was this patch tested?
unit tests and manual tests.
Closes#23814 from Jeffwan/update_k8s_sdk.
Authored-by: Jiaxin Shan <seedjeffwan@gmail.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
Add the kubernetes integration tests to the scalastyle profiles.
## How was this patch tested?
Run ./dev/scalastyle with a bad change manually
## Follow on work
See SPARK-26898 to add scalastyle for k8s integration to the CI
Closes#23792 from holdenk/SPARK-26882-check-k8s-integration-tests-when-linting.
Authored-by: Holden Karau <holden@pigscanfly.ca>
Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>
Follow the [official document](https://docs.python.org/2/library/argparse.html#upgrading-optparse-code) to upgrade the deprecated module 'optparse' to 'argparse'.
## What changes were proposed in this pull request?
This PR proposes to replace 'optparse' module with 'argparse' module.
## How was this patch tested?
Follow the [previous testing](7e3eb3cd20), manually tested and negative tests were also done. My [test results](https://gist.github.com/cchung100m/1661e7df6e8b66940a6e52a20861f61d)
Closes#23730 from cchung100m/solve_deprecated_module_optparse.
Authored-by: cchung100m <cchung100m@cs.ccu.edu.tw>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
Update to Parquet Java 1.10.1.
## How was this patch tested?
Added a test from HyukjinKwon that validates the notEq case from SPARK-26677.
Closes#23704 from rdblue/SPARK-26677-fix-noteq-parquet-bug.
Lead-authored-by: Ryan Blue <blue@apache.org>
Co-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: Ryan Blue <rdblue@users.noreply.github.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
## What changes were proposed in this pull request?
### Background
For the current status, the test script that generates coverage information was merged
into Spark, https://github.com/apache/spark/pull/20204
So, we can generate the coverage report and site by, for example:
```
run-tests-with-coverage --python-executables=python3 --modules=pyspark-sql
```
like `run-tests` script in `./python`.
### Proposed change
The next step is to host this coverage report via `github.io` automatically
by Jenkins (see https://spark-test.github.io/pyspark-coverage-site/).
This uses my testing account for Spark, spark-test, which is shared to Felix and Shivaram a long time ago for testing purpose including AppVeyor.
To cut this short, this PR targets to run the coverage in
[spark-master-test-sbt-hadoop-2.7](https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-sbt-hadoop-2.7/)
In the specific job, it will clone the page, and rebase the up-to-date PySpark test coverage from the latest commit. For instance as below:
```bash
# Clone PySpark coverage site.
git clone https://github.com/spark-test/pyspark-coverage-site.git
# Remove existing HTMLs.
rm -fr pyspark-coverage-site/*
# Copy generated coverage HTMLs.
cp -r .../python/test_coverage/htmlcov/* pyspark-coverage-site/
# Check out to a temporary branch.
git symbolic-ref HEAD refs/heads/latest_branch
# Add all the files.
git add -A
# Commit current HTMLs.
git commit -am "Coverage report at latest commit in Apache Spark"
# Delete the old branch.
git branch -D gh-pages
# Rename the temporary branch to master.
git branch -m gh-pages
# Finally, force update to our repository.
git push -f origin gh-pages
```
So, it is a one single up-to-date coverage can be shown in the `github-io` page. The commands above were manually tested.
### TODOs
- [x] Write a draft HyukjinKwon
- [x] `pip install coverage` to all python implementations (pypy, python2, python3) in Jenkins workers - shaneknapp
- [x] Set hidden `SPARK_TEST_KEY` for spark-test's password in Jenkins via Jenkins's feature
This should be set in both PR builder and `spark-master-test-sbt-hadoop-2.7` so that later other PRs can test and fix the bugs - shaneknapp
- [x] Set an environment variable that indicates `spark-master-test-sbt-hadoop-2.7` so that that specific build can report and update the coverage site - shaneknapp
- [x] Make PR builder's test passed HyukjinKwon
- [x] Fix flaky test related with coverage HyukjinKwon
- 6 consecutive passes out of 7 runs
This PR will be co-authored with me and shaneknapp
## How was this patch tested?
It will be tested via Jenkins.
Closes#23117 from HyukjinKwon/SPARK-7721.
Lead-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: hyukjinkwon <gurwls223@apache.org>
Co-authored-by: shane knapp <incomplete@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Upgrade Apache Arrow to version 0.12.0. This includes the Java artifacts and fixes to enable usage with pyarrow 0.12.0
Version 0.12.0 includes the following selected fixes/improvements relevant to Spark users:
* Safe cast fails from numpy float64 array with nans to integer, ARROW-4258
* Java, Reduce heap usage for variable width vectors, ARROW-4147
* Binary identity cast not implemented, ARROW-4101
* pyarrow open_stream deprecated, use ipc.open_stream, ARROW-4098
* conversion to date object no longer needed, ARROW-3910
* Error reading IPC file with no record batches, ARROW-3894
* Signed to unsigned integer cast yields incorrect results when type sizes are the same, ARROW-3790
* from_pandas gives incorrect results when converting floating point to bool, ARROW-3428
* Import pyarrow fails if scikit-learn is installed from conda (boost-cpp / libboost issue), ARROW-3048
* Java update to official Flatbuffers version 1.9.0, ARROW-3175
complete list [here](https://issues.apache.org/jira/issues/?jql=project%20%3D%20ARROW%20AND%20status%20in%20(Resolved%2C%20Closed)%20AND%20fixVersion%20%3D%200.12.0)
PySpark requires the following fixes to work with PyArrow 0.12.0
* Encrypted pyspark worker fails due to ChunkedStream missing closed property
* pyarrow now converts dates as objects by default, which causes error because type is assumed datetime64
* ArrowTests fails due to difference in raised error message
* pyarrow.open_stream deprecated
* tests fail because groupby adds index column with duplicate name
## How was this patch tested?
Ran unit tests with pyarrow versions 0.8.0, 0.10.0, 0.11.1, 0.12.0
Closes#23657 from BryanCutler/arrow-upgrade-012.
Authored-by: Bryan Cutler <cutlerb@gmail.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
Misc code cleanup from lgtm.com analysis. See comments below for details.
## How was this patch tested?
Existing tests.
Closes#23571 from srowen/SPARK-26640.
Lead-authored-by: Sean Owen <sean.owen@databricks.com>
Co-authored-by: Hyukjin Kwon <gurwls223@apache.org>
Co-authored-by: Sean Owen <srowen@gmail.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
The call to `translate_component` only supplied 2 out of the 3 required arguments. I added a default empty list for the missing argument to avoid a run-time error.
I work for Semmle, and noticed the bug with our LGTM code analyzer:
0655f1624f/files/dev/create-release/releaseutils.py?sort=name&dir=ASC&mode=heatmap#x1434915b6576fb40:1
## How was this patch tested?
I checked that `./dev/run-tests` pass OK.
Closes#23567 from ipwright/wrong-number-of-arguments-fix.
Authored-by: wright <wright@semmle.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
To skip some steps to remove binary license/notice files in a source release for branch2.3 (these files only exist in master/branch-2.4 now), this pr checked a Spark release version in `dev/create-release/release-build.sh`.
## How was this patch tested?
Manually checked.
Closes#23538 from maropu/FixReleaseScript.
Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
This PR uses GitHub repository instead of GitBox because GitHub repo returns HTTP header status correctly.
## How was this patch tested?
Manual.
```
$ ./do-release-docker.sh -d /tmp/test -n
Branch [branch-2.4]:
Current branch version is 2.4.1-SNAPSHOT.
Release [2.4.1]:
RC # [1]:
This is a dry run. Please confirm the ref that will be built for testing.
Ref [v2.4.1-rc1]:
```
Closes#23482 from dongjoon-hyun/SPARK-26554-2.
Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
## What changes were proposed in this pull request?
This PR fixes the old script name in `release-tag.sh`.
$ ./release-tag.sh --help | head -n1
usage: tag-release.sh
## How was this patch tested?
Manual.
$ ./release-tag.sh --help | head -n1
usage: release-tag.sh
Closes#23477 from dongjoon-hyun/SPARK-RELEASE-TAG.
Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
## What changes were proposed in this pull request?
Unlike the previous Apache Git repository, new GitBox repository returns a fake HTTP 200 header instead of `404 Not Found` header. This makes release scripts out of order. This PR aims to fix it to handle the html body message instead of the fake HTTP headers. This is a release blocker.
```bash
$ curl -s --head --fail "https://gitbox.apache.org/repos/asf?p=spark.git;a=commit;h=v3.0.0"
HTTP/1.1 200 OK
Date: Sun, 06 Jan 2019 22:42:39 GMT
Server: Apache/2.4.18 (Ubuntu)
Vary: Accept-Encoding
Access-Control-Allow-Origin: *
Access-Control-Allow-Methods: POST, GET, OPTIONS
Access-Control-Allow-Headers: X-PINGOTHER
Access-Control-Max-Age: 1728000
Content-Type: text/html; charset=utf-8
```
**BEFORE**
```bash
$ ./do-release-docker.sh -d /tmp/test -n
Branch [branch-2.4]:
Current branch version is 2.4.1-SNAPSHOT.
Release [2.4.1]:
RC # [1]:
v2.4.1-rc1 already exists. Continue anyway [y/n]?
```
**AFTER**
```bash
$ ./do-release-docker.sh -d /tmp/test -n
Branch [branch-2.4]:
Current branch version is 2.4.1-SNAPSHOT.
Release [2.4.1]:
RC # [1]:
This is a dry run. Please confirm the ref that will be built for testing.
Ref [v2.4.1-rc1]:
```
## How was this patch tested?
Manual.
Closes#23476 from dongjoon-hyun/SPARK-26554.
Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
## What changes were proposed in this pull request?
This PR makes `scalastyle` to check `docker-integration-tests` module additionally and fixes one error.
## How was this patch tested?
Pass the Jenkins with the updated Scalastyle.
```
========================================================================
Running Scala style checks
========================================================================
Scalastyle checks passed.
```
Closes#23459 from dongjoon-hyun/SPARK-26541.
Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
## What changes were proposed in this pull request?
due to apache recently moving from git-wip-us.apache.org to gitbox.apache.org, we need to update the packaging scripts to point to the new repo location.
this will also need to be backported to 2.4, 2.3, 2.1, 2.0 and 1.6.
## How was this patch tested?
the build system will test this.
Please review http://spark.apache.org/contributing.html before opening a pull request.
Closes#23454 from shaneknapp/update-apache-repo.
Authored-by: shane knapp <incomplete@gmail.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
## What changes were proposed in this pull request?
This PR aims to update Apache ORC dependency to the latest version 1.5.4 released at Dec. 20. ([Release Notes](https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12318320&version=12344187]))
```
[ORC-237] OrcFile.mergeFiles Specified block size is less than configured minimum value
[ORC-409] Changes for extending MemoryManagerImpl
[ORC-410] Fix a locale-dependent test in TestCsvReader
[ORC-416] Avoid opening data reader when there is no stripe
[ORC-417] Use dynamic Apache Maven mirror link
[ORC-419] Ensure to call `close` at RecordReaderImpl constructor exception
[ORC-432] openjdk 8 has a bug that prevents surefire from working
[ORC-435] Ability to read stripes that are greater than 2GB
[ORC-437] Make acid schema checks case insensitive
[ORC-411] Update build to work with Java 10.
[ORC-418] Fix broken docker build script
```
## How was this patch tested?
Build and pass Jenkins.
Closes#23364 from dongjoon-hyun/SPARK-26427.
Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
This adds the entire memory used by spark’s executor (as measured by procfs) to the executor metrics. The memory usage is collected from the entire process tree under the executor. The metrics are subdivided into memory used by java, by python, and by other processes, to aid users in diagnosing the source of high memory usage.
The additional metrics are sent to the driver in heartbeats, using the mechanism introduced by SPARK-23429. This also slightly extends that approach to allow one ExecutorMetricType to collect multiple metrics.
Added unit tests and also tested on a live cluster.
Closes#22612 from rezasafi/ptreememory2.
Authored-by: Reza Safi <rezasafi@cloudera.com>
Signed-off-by: Imran Rashid <irashid@cloudera.com>
## What changes were proposed in this pull request?
Update to Scala 2.12.8
## How was this patch tested?
Existing tests.
Closes#23218 from srowen/SPARK-26266.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
This PR aims to upgrade Janino compiler to the latest version 3.0.11. The followings are the changes from the [release note](http://janino-compiler.github.io/janino/changelog.html).
- Script with many "helper" variables.
- Java 9+ compatibility
- Compilation Error Messages Generated by JDK.
- Added experimental support for the "StackMapFrame" attribute; not active yet.
- Make Unparser more flexible.
- Fixed NPEs in various "toString()" methods.
- Optimize static method invocation with rvalue target expression.
- Added all missing "ClassFile.getConstant*Info()" methods, removing the necessity for many type casts.
## How was this patch tested?
Pass the Jenkins with the existing tests.
Closes#23250 from dongjoon-hyun/SPARK-26298.
Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
Let's keep this open for a while to see if other configuration tweaks are suggested
## What changes were proposed in this pull request?
Formatting configuration changes following up
https://github.com/apache/spark/pull/23148
## How was this patch tested?
./dev/scalafmt
Closes#23182 from koeninger/scalafmt-config.
Authored-by: cody koeninger <cody@koeninger.org>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
This PR updates maven version from 3.5.4 to 3.6.0. The release note of the 3.6.0 is [here](https://maven.apache.org/docs/3.6.0/release-notes.html).
From [the release note of the 3.6.0](https://maven.apache.org/docs/3.6.0/release-notes.html), the followings are new features:
1. There had been issues related to the project discoverytime which has been increased in previous version which influenced some of our users.
1. The output in the reactor summary has been improved.
1. There was an issue related to the classpath ordering.
## How was this patch tested?
Existing tests
Closes#23177 from kiszk/SPARK-26212.
Authored-by: Kazuaki Ishizaki <ishizaki@jp.ibm.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
Add a maven plugin and wrapper script to use scalafmt to format files that differ from git master.
Intention is for contributors to be able to use this to automate fixing code style, not to include it in build pipeline yet.
If this PR is accepted, I'd make a different PR to update the code style section of https://spark.apache.org/contributing.html to mention the script
## How was this patch tested?
Manually tested by modifying a few files and running ./dev/scalafmt then checking that ./dev/scalastyle still passed.
Closes#23148 from koeninger/scalafmt.
Authored-by: cody koeninger <cody@koeninger.org>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
When I ran spark-shell on JDK11+28(2018-09-25), It failed with the error below.
```
Exception in thread "main" java.lang.ExceptionInInitializerError
at org.apache.hadoop.util.StringUtils.<clinit>(StringUtils.java:80)
at org.apache.hadoop.security.SecurityUtil.getAuthenticationMethod(SecurityUtil.java:611)
at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:273)
at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:261)
at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:791)
at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:761)
at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:634)
at org.apache.spark.util.Utils$.$anonfun$getCurrentUserName$1(Utils.scala:2427)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.util.Utils$.getCurrentUserName(Utils.scala:2427)
at org.apache.spark.SecurityManager.<init>(SecurityManager.scala:79)
at org.apache.spark.deploy.SparkSubmit.secMgr$lzycompute$1(SparkSubmit.scala:359)
at org.apache.spark.deploy.SparkSubmit.secMgr$1(SparkSubmit.scala:359)
at org.apache.spark.deploy.SparkSubmit.$anonfun$prepareSubmitEnvironment$9(SparkSubmit.scala:367)
at scala.Option.map(Option.scala:146)
at org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment(SparkSubmit.scala:367)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:143)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:927)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:936)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.StringIndexOutOfBoundsException: begin 0, end 3, length 2
at java.base/java.lang.String.checkBoundsBeginEnd(String.java:3319)
at java.base/java.lang.String.substring(String.java:1874)
at org.apache.hadoop.util.Shell.<clinit>(Shell.java:52)
```
This is a Hadoop issue that fails to parse some java.version. It has been fixed from Hadoop-2.7.4(see [HADOOP-14586](https://issues.apache.org/jira/browse/HADOOP-14586)).
Note, Hadoop-2.7.5 or upper have another problem with Spark ([SPARK-25330](https://issues.apache.org/jira/browse/SPARK-25330)). So upgrading to 2.7.4 would be fine for now.
## How was this patch tested?
Existing tests.
Closes#23101 from tasanuma/SPARK-26134.
Authored-by: Takanobu Asanuma <tasanuma@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
## What changes were proposed in this pull request?
`dev/lint-python` is a mess of nearly unreadable bash. i would like to fix that as best as i can.
## How was this patch tested?
the build system will test this.
Closes#22994 from shaneknapp/lint-python-refactor.
Authored-by: shane knapp <incomplete@gmail.com>
Signed-off-by: shane knapp <incomplete@gmail.com>
## What changes were proposed in this pull request?
This PR breaks down the large ml/tests.py file that contains all Python ML unit tests into several smaller test files to be easier to read and maintain.
The tests are broken down as follows:
```
pyspark
├── __init__.py
...
├── ml
│ ├── __init__.py
...
│ ├── tests
│ │ ├── __init__.py
│ │ ├── test_algorithms.py
│ │ ├── test_base.py
│ │ ├── test_evaluation.py
│ │ ├── test_feature.py
│ │ ├── test_image.py
│ │ ├── test_linalg.py
│ │ ├── test_param.py
│ │ ├── test_persistence.py
│ │ ├── test_pipeline.py
│ │ ├── test_stat.py
│ │ ├── test_training_summary.py
│ │ ├── test_tuning.py
│ │ └── test_wrapper.py
...
├── testing
...
│ ├── mlutils.py
...
```
## How was this patch tested?
Ran tests manually by module to ensure test count was the same, and ran `python/run-tests --modules=pyspark-ml` to verify all passing with Python 2.7 and Python 3.6.
Closes#23063 from BryanCutler/python-test-breakup-ml-SPARK-26033.
Authored-by: Bryan Cutler <cutlerb@gmail.com>
Signed-off-by: hyukjinkwon <gurwls223@apache.org>
It makes the build slower, but at least it doesn't hang. Seems that
maven-shade-plugin has some issue with parallelization.
Closes#23061 from vanzin/SPARK-26095.
Authored-by: Marcelo Vanzin <vanzin@cloudera.com>
Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>
## What changes were proposed in this pull request?
This PR breaks down the large mllib/tests.py file that contains all Python MLlib unit tests into several smaller test files to be easier to read and maintain.
The tests are broken down as follows:
```
pyspark
├── __init__.py
...
├── mllib
│ ├── __init__.py
...
│ ├── tests
│ │ ├── __init__.py
│ │ ├── test_algorithms.py
│ │ ├── test_feature.py
│ │ ├── test_linalg.py
│ │ ├── test_stat.py
│ │ ├── test_streaming_algorithms.py
│ │ └── test_util.py
...
├── testing
...
│ ├── mllibutils.py
...
```
## How was this patch tested?
Ran tests manually by module to ensure test count was the same, and ran `python/run-tests --modules=pyspark-mllib` to verify all passing with Python 2.7 and Python 3.6. Also installed scipy to include optional tests in test_linalg.
Closes#23056 from BryanCutler/python-test-breakup-mllib-SPARK-26034.
Authored-by: Bryan Cutler <cutlerb@gmail.com>
Signed-off-by: hyukjinkwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
This PR continues to break down a big large file into smaller files. See https://github.com/apache/spark/pull/23021. It targets to follow https://github.com/numpy/numpy/tree/master/numpy.
Basically this PR proposes to break down `pyspark/streaming/tests.py` into ...:
```
pyspark
├── __init__.py
...
├── streaming
│ ├── __init__.py
...
│ ├── tests
│ │ ├── __init__.py
│ │ ├── test_context.py
│ │ ├── test_dstream.py
│ │ ├── test_kinesis.py
│ │ └── test_listener.py
...
├── testing
...
│ ├── streamingutils.py
...
```
## How was this patch tested?
Existing tests should cover.
`cd python` and .`/run-tests-with-coverage`. Manually checked they are actually being ran.
Each test (not officially) can be ran via:
```bash
SPARK_TESTING=1 ./bin/pyspark pyspark.tests.test_context
```
Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`.
Closes#23034 from HyukjinKwon/SPARK-26035.
Authored-by: hyukjinkwon <gurwls223@apache.org>
Signed-off-by: hyukjinkwon <gurwls223@apache.org>
