Hotfix to correct formatting errors of print statements within the dev and jenkins builds. Error looks like:
```
-Phadoop-1[info] Building Spark (w/Hive 0.13.1) using SBT with these arguments: -Dhadoop.version=1.0.4[info] Building Spark (w/Hive 0.13.1) using SBT with these arguments: -Pkinesis-asl[info] Building Spark (w/Hive 0.13.1) using SBT with these arguments: -Phive-thriftserver[info] Building Spark (w/Hive 0.13.1) using SBT with these arguments: -Phive[info] Building Spark (w/Hive 0.13.1) using SBT with these arguments: package[info] Building Spark (w/Hive 0.13.1) using SBT with these arguments: assembly/assembly[info] Building Spark (w/Hive 0.13.1) using SBT with these arguments: streaming-kafka-assembly/assembly
```
Author: Brennon York <brennon.york@capitalone.com>
Closes#7085 from brennonyork/SPARK-8693 and squashes the following commits:
c5575f1 [Brennon York] added commas to end of print statements for proper printing
When there are massive tasks, such as `sc.parallelize(1 to 100000, 10000).count()`, the generated JS codes have a lot of string concatenations in the stage page, nearly 40 string concatenations for one task.
We can generate the whole string for a task instead of execution string concatenations in the browser.
Before this patch, the load time of the page is about 21 seconds.
After this patch, it reduces to about 17 seconds.
One disadvantage is that the generated JS codes become hard to read.
Author: zsxwing <zsxwing@gmail.com>
Closes#7082 from zsxwing/js-string and squashes the following commits:
b29231d [zsxwing] Avoid massive concating strings in Javascript
Author: Reynold Xin <rxin@databricks.com>
Closes#7079 from rxin/SPARK-8698 and squashes the following commits:
8513e1c [Reynold Xin] [SPARK-8698] partitionBy in Python DataFrame reader/writer interface should not default to empty tuple.
I compared PySpark DataFrameReader/Writer against Scala ones. `Option` function is missing in both reader and writer, but the rest seems to all match.
I added `Option` to reader and writer and updated the `pyspark-sql` test.
Author: Cheolsoo Park <cheolsoop@netflix.com>
Closes#7078 from piaozhexiu/SPARK-8355 and squashes the following commits:
c63d419 [Cheolsoo Park] Fix version
524e0aa [Cheolsoo Park] Add option function to df reader and writer
Follow up of [SPARK-8356](https://issues.apache.org/jira/browse/SPARK-8356) and #6902.
Removes the unit test for the now deprecated ```callUdf```
Unit test in SQLQuerySuite now uses ```udf``` instead of ```callUDF```
Replaced ```callUDF``` by ```udf``` where possible in mllib
Author: BenFradet <benjamin.fradet@gmail.com>
Closes#6993 from BenFradet/SPARK-8575 and squashes the following commits:
26f5a7a [BenFradet] 2 spaces instead of 1
1ddb452 [BenFradet] renamed initUDF in order to be consistent in OneVsRest
48ca15e [BenFradet] used vector type tag for udf call in VectorIndexer
0ebd0da [BenFradet] replace the now deprecated callUDF by udf in VectorIndexer
8013409 [BenFradet] replaced the now deprecated callUDF by udf in Predictor
94345b5 [BenFradet] unifomized udf calls in ProbabilisticClassifier
1305492 [BenFradet] uniformized udf calls in Classifier
a672228 [BenFradet] uniformized udf calls in OneVsRest
49e4904 [BenFradet] Revert "removal of the unit test for the now deprecated callUdf"
bbdeaf3 [BenFradet] fixed syntax for init udf in OneVsRest
fe2a10b [BenFradet] callUDF => udf in ProbabilisticClassifier
0ea30b3 [BenFradet] callUDF => udf in Classifier where possible
197ec82 [BenFradet] callUDF => udf in OneVsRest
84d6780 [BenFradet] modified unit test in SQLQuerySuite to use udf instead of callUDF
477709f [BenFradet] removal of the unit test for the now deprecated callUdf
Python support for Power Iteration Clustering
https://issues.apache.org/jira/browse/SPARK-5962
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#6992 from yanboliang/pyspark-pic and squashes the following commits:
6b03d82 [Yanbo Liang] address comments
4be4423 [Yanbo Liang] Python support for Power Iteration Clustering
Support mining of ordered frequent item sequences.
Author: Feynman Liang <fliang@databricks.com>
Closes#6997 from feynmanliang/fp-sequence and squashes the following commits:
7c14e15 [Feynman Liang] Improve scalatests with R code and Seq
0d3e4b6 [Feynman Liang] Fix python test
ce987cb [Feynman Liang] Backwards compatibility aux constructor
34ef8f2 [Feynman Liang] Fix failing test due to reverse orderering
f04bd50 [Feynman Liang] Naming, add ordered to FreqItemsets, test ordering using Seq
648d4d4 [Feynman Liang] Test case for frequent item sequences
252a36a [Feynman Liang] Add sequence learning flag
PR #5694 reverted PR #6384 while refactoring `dev/run-tests` to `dev/run-tests.py`. Also, PR #6384 didn't bump Hadoop 1 version defined in POM.
Author: Cheng Lian <lian@databricks.com>
Closes#7062 from liancheng/spark-7845 and squashes the following commits:
c088b72 [Cheng Lian] Bumping default Hadoop version used in profile hadoop-1 to 1.2.1
JIRA: https://issues.apache.org/jira/browse/SPARK-8677
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#7056 from viirya/fix_decimal3 and squashes the following commits:
34d7419 [Liang-Chi Hsieh] Fix Non-terminating decimal expansion for decimal divide operation.
This would otherwise need to be set manually by R users in AWS.
https://issues.apache.org/jira/browse/SPARK-8596
Author: Vincent D. Warmerdam <vincentwarmerdam@gmail.com>
Author: vincent <vincentwarmerdam@gmail.com>
Closes#7068 from koaning/rstudio-port-number and squashes the following commits:
ac8100d [vincent] Update spark_ec2.py
ce6ad88 [Vincent D. Warmerdam] added port number for rstudio
DataFrame supports `filter` function with two types of argument, `Column` and `String`. But `where` doesn't.
Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>
Closes#7063 from sarutak/SPARK-8686 and squashes the following commits:
180f9a4 [Kousuke Saruta] Added test
d61aec4 [Kousuke Saruta] Add "where" method with String argument to DataFrame
Currently, we use GenericRow both for Row and InternalRow, which is confusing because it could contain Scala type also Catalyst types.
This PR changes to use GenericInternalRow for InternalRow (contains catalyst types), GenericRow for Row (contains Scala types).
Also fixes some incorrect use of InternalRow or Row.
Author: Davies Liu <davies@databricks.com>
Closes#7003 from davies/internalrow and squashes the following commits:
d05866c [Davies Liu] fix test: rollback changes for pyspark
72878dd [Davies Liu] Merge branch 'master' of github.com:apache/spark into internalrow
efd0b25 [Davies Liu] fix copy of MutableRow
87b13cf [Davies Liu] fix test
d2ebd72 [Davies Liu] fix style
eb4b473 [Davies Liu] mark expensive API as final
bd4e99c [Davies Liu] Merge branch 'master' of github.com:apache/spark into internalrow
bdfb78f [Davies Liu] remove BaseMutableRow
6f99a97 [Davies Liu] fix catalyst test
defe931 [Davies Liu] remove BaseRow
288b31f [Davies Liu] Merge branch 'master' of github.com:apache/spark into internalrow
9d24350 [Davies Liu] separate Row and InternalRow (part 2)
The previous commiter on this part was pwendell
The previous url gives 404, the new one seems to be OK.
This patch is added under the Apache License 2.0.
The JIRA link: https://issues.apache.org/jira/browse/SPARK-8649
Author: Thomas Szymanski <develop@tszymanski.com>
Closes#7054 from tszym/SPARK-8649 and squashes the following commits:
bfda9c4 [Thomas Szymanski] [SPARK-8649] [BUILD] Mapr repository is not defined properly
Spark's tests currently depend on `mockito-all`, which bundles Hamcrest and Objenesis classes. Instead, it should depend on `mockito-core`, which declares those libraries as Maven dependencies. This is necessary in order to fix a dependency conflict that leads to a NoSuchMethodError when using certain Hamcrest matchers.
See https://github.com/mockito/mockito/wiki/Declaring-mockito-dependency for more details.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#7061 from JoshRosen/mockito-core-instead-of-all and squashes the following commits:
70eccbe [Josh Rosen] Depend on mockito-core instead of mockito-all.
This patch refactors the `python/run-tests` script:
- It's now written in Python instead of Bash.
- The descriptions of the tests to run are now stored in `dev/run-tests`'s modules. This allows the pull request builder to skip Python tests suites that were not affected by the pull request's changes. For example, we can now skip the PySpark Streaming test cases when only SQL files are changed.
- `python/run-tests` now supports command-line flags to make it easier to run individual test suites (this addresses SPARK-5482):
```
Usage: run-tests [options]
Options:
-h, --help show this help message and exit
--python-executables=PYTHON_EXECUTABLES
A comma-separated list of Python executables to test
against (default: python2.6,python3.4,pypy)
--modules=MODULES A comma-separated list of Python modules to test
(default: pyspark-core,pyspark-ml,pyspark-mllib
,pyspark-sql,pyspark-streaming)
```
- `dev/run-tests` has been split into multiple files: the module definitions and test utility functions are now stored inside of a `dev/sparktestsupport` Python module, allowing them to be re-used from the Python test runner script.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#6967 from JoshRosen/run-tests-python-modules and squashes the following commits:
f578d6d [Josh Rosen] Fix print for Python 2.x
8233d61 [Josh Rosen] Add python/run-tests.py to Python lint checks
34c98d2 [Josh Rosen] Fix universal_newlines for Python 3
8f65ed0 [Josh Rosen] Fix handling of module in python/run-tests
37aff00 [Josh Rosen] Python 3 fix
27a389f [Josh Rosen] Skip MLLib tests for PyPy
c364ccf [Josh Rosen] Use which() to convert PYSPARK_PYTHON to an absolute path before shelling out to run tests
568a3fd [Josh Rosen] Fix hashbang
3b852ae [Josh Rosen] Fall back to PYSPARK_PYTHON when sys.executable is None (fixes a test)
f53db55 [Josh Rosen] Remove python2 flag, since the test runner script also works fine under Python 3
9c80469 [Josh Rosen] Fix passing of PYSPARK_PYTHON
d33e525 [Josh Rosen] Merge remote-tracking branch 'origin/master' into run-tests-python-modules
4f8902c [Josh Rosen] Python lint fixes.
8f3244c [Josh Rosen] Use universal_newlines to fix dev/run-tests doctest failures on Python 3.
f542ac5 [Josh Rosen] Fix lint check for Python 3
fff4d09 [Josh Rosen] Add dev/sparktestsupport to pep8 checks
2efd594 [Josh Rosen] Update dev/run-tests to use new Python test runner flags
b2ab027 [Josh Rosen] Add command-line options for running individual suites in python/run-tests
caeb040 [Josh Rosen] Fixes to PySpark test module definitions
d6a77d3 [Josh Rosen] Fix the tests of dev/run-tests
def2d8a [Josh Rosen] Two minor fixes
aec0b8f [Josh Rosen] Actually get the Kafka stuff to run properly
04015b9 [Josh Rosen] First attempt at getting PySpark Kafka test to work in new runner script
4c97136 [Josh Rosen] PYTHONPATH fixes
dcc9c09 [Josh Rosen] Fix time division
32660fc [Josh Rosen] Initial cut at Python test runner refactoring
311c6a9 [Josh Rosen] Move shell utility functions to own module.
1bdeb87 [Josh Rosen] Move module definitions to separate file.
If `RDD.getPreferredLocations()` throws an exception it may crash the DAGScheduler and SparkContext. This patch addresses this by adding a try-catch block.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#7023 from JoshRosen/SPARK-8606 and squashes the following commits:
770b169 [Josh Rosen] Fix getPreferredLocations() DAGScheduler crash with try block.
44a9b55 [Josh Rosen] Add test of a buggy getPartitions() method
19aa9f7 [Josh Rosen] Add (failing) regression test for getPreferredLocations() DAGScheduler crash
Author: Sandy Ryza <sandy@cloudera.com>
Closes#7050 from sryza/sandy-spark-8623 and squashes the following commits:
58a8079 [Sandy Ryza] SPARK-8623. Hadoop RDDs fail to properly serialize configuration
As per the description in the JIRA, I moved the contents of the page and added a few additional content.
Author: Neelesh Srinivas Salian <nsalian@cloudera.com>
Closes#6924 from nssalian/SPARK-3629 and squashes the following commits:
944b7a0 [Neelesh Srinivas Salian] Changed the lines about deploy-mode and added backticks to all parameters
40dbc0b [Neelesh Srinivas Salian] Changed dfs to HDFS, deploy-mode in backticks and updated the master yarn line
9cbc072 [Neelesh Srinivas Salian] Updated a few lines in the Launching Spark on YARN Section
8e8db7f [Neelesh Srinivas Salian] Removed the changes in this commit to help clearly distinguish movement from update
151c298 [Neelesh Srinivas Salian] SPARK-3629: Improvement of the Spark on YARN document
Ticket: [SPARK-8639](https://issues.apache.org/jira/browse/SPARK-8639)
fixed minor typos in docs/README.md and docs/api.md
Author: Rosstin <asterazul@gmail.com>
Closes#7046 from Rosstin/SPARK-8639 and squashes the following commits:
6c18058 [Rosstin] fixed minor typos in docs/README.md and docs/api.md
Add `getStaticClass` method in SparkR's `RBackendHandler`
This is a fix for the problem referenced in [SPARK-5185](https://issues.apache.org/jira/browse/SPARK-5185).
cc shivaram
Author: cafreeman <cfreeman@alteryx.com>
Closes#7001 from cafreeman/branch-1.4 and squashes the following commits:
8f81194 [cafreeman] Add missing license
31aedcf [cafreeman] Refactor test to call an external R script
2c22073 [cafreeman] Merge branch 'branch-1.4' of github.com:apache/spark into branch-1.4
0bea809 [cafreeman] Fixed relative path issue and added smaller JAR
ee25e60 [cafreeman] Merge branch 'branch-1.4' of github.com:apache/spark into branch-1.4
9a5c362 [cafreeman] test for including JAR when launching sparkContext
9101223 [cafreeman] Merge branch 'branch-1.4' of github.com:apache/spark into branch-1.4
5a80844 [cafreeman] Fix style nits
7c6bd0c [cafreeman] [SPARK-8607] SparkR
(cherry picked from commit 2579948bf5)
Signed-off-by: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Test `infer_type` using a more fine-grained approach rather than comparing environments. Since `all.equal`'s behavior has changed in R 3.2, the test became unpassable.
JIRA here:
https://issues.apache.org/jira/browse/SPARK-8662
Author: cafreeman <cfreeman@alteryx.com>
Closes#7045 from cafreeman/R32_Test and squashes the following commits:
b97cc52 [cafreeman] Add `checkStructField` utility
3381e5c [cafreeman] Update SparkSQL Test
(cherry picked from commit 78b31a2a63)
Signed-off-by: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
This patch addresses a critical issue in the PySpark tests:
Several of our Python modules' `__main__` methods call `doctest.testmod()` in order to run doctests but forget to check and handle its return value. As a result, some PySpark test failures can go unnoticed because they will not fail the build.
Fortunately, there was only one test failure which was masked by this bug: a `pyspark.profiler` doctest was failing due to changes in RDD pipelining.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#7032 from JoshRosen/testmod-fix and squashes the following commits:
60dbdc0 [Josh Rosen] Account for int vs. long formatting change in Python 3
8b8d80a [Josh Rosen] Fix failing test.
e6423f9 [Josh Rosen] Check return code for all uses of doctest.testmod().
Some users have Hadoop installations on different paths across
their cluster. Currently, that makes it hard to set up some
configuration in Spark since that requires hardcoding paths to
jar files or native libraries, which wouldn't work on such a cluster.
This change introduces a couple of YARN-specific configurations
that instruct the backend to replace certain paths when launching
remote processes. That way, if the configuration says the Spark
jar is in "/spark/spark.jar", and also says that "/spark" should be
replaced with "{{SPARK_INSTALL_DIR}}", YARN will start containers
in the NMs with "{{SPARK_INSTALL_DIR}}/spark.jar" as the location
of the jar.
Coupled with YARN's environment whitelist (which allows certain
env variables to be exposed to containers), this allows users to
support such heterogeneous environments, as long as a single
replacement is enough. (Otherwise, this feature would need to be
extended to support multiple path replacements.)
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#6752 from vanzin/SPARK-8302 and squashes the following commits:
4bff8d4 [Marcelo Vanzin] Add docs, rename configs.
0aa2a02 [Marcelo Vanzin] Only do replacement for paths that need it.
2e9cc9d [Marcelo Vanzin] Style.
a5e1f68 [Marcelo Vanzin] [SPARK-8302] Support heterogeneous cluster install paths on YARN.
Add a param to disable linear feature scaling (to be implemented later in linear & logistic regression). Done as a seperate PR so we can use same param & not conflict while working on the sub-tasks.
Author: Holden Karau <holden@pigscanfly.ca>
Closes#7024 from holdenk/SPARK-8522-Disable-Linear_featureScaling-Spark-8613-Add-param and squashes the following commits:
ce8931a [Holden Karau] Regenerate the sharedParams code
fa6427e [Holden Karau] update text for standardization param.
7b24a2b [Holden Karau] generate the new standardization param
3c190af [Holden Karau] Add the standardization param to sharedparamscodegen
This commit adds a new metric, `messageProcessingTime`, to the DAGScheduler metrics source. This metrics tracks the time taken to process messages in the scheduler's event processing loop, which is a helpful debugging aid for diagnosing performance issues in the scheduler (such as SPARK-4961).
In order to do this, I moved the creation of the DAGSchedulerSource metrics source into DAGScheduler itself, similar to how MasterSource is created and registered in Master.
Author: Josh Rosen <joshrosen@databricks.com>
Closes#7002 from JoshRosen/SPARK-8344 and squashes the following commits:
57f914b [Josh Rosen] Fix import ordering
7d6bb83 [Josh Rosen] Add message processing time metrics to DAGScheduler
In `CatalystTypeConverters.createToCatalystConverter`, we add special handling for primitive types. We can apply this strategy to more places to improve performance.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7018 from cloud-fan/converter and squashes the following commits:
8b16630 [Wenchen Fan] another fix
326c82c [Wenchen Fan] optimize type converter
fix docs, remove nativeTypes , use java type to get boxed type ,default value, etc. to avoid handle `DateType` and `TimestampType` as int and long again and again.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#7010 from cloud-fan/cg and squashes the following commits:
aa01cf9 [Wenchen Fan] cleanup CodeGenContext
cc cafreeman
Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
Closes#7022 from shivaram/sparkr-init-hotfix and squashes the following commits:
9178d15 [Shivaram Venkataraman] Fix packages argument, sparkSubmitBinName
Keep the same naming conventions for PythonMLLibAPI.
Only the following three functions is different from others
```scala
trainNaiveBayes
trainGaussianMixture
trainWord2Vec
```
So change them to
```scala
trainNaiveBayesModel
trainGaussianMixtureModel
trainWord2VecModel
```
It does not affect any users and public APIs, only to make better understand for developer and code hacker.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#7011 from yanboliang/py-mllib-api-rename and squashes the following commits:
771ffec [Yanbo Liang] rename some functions of PythonMLLibAPI
…rget versions.
I basically copied the compatibility rules from the top level pom.xml into here. Someone more familiar with all the options in the top level pom may want to make sure nothing else should be copied on down.
With this is allows me to build with jdk8 and run with lower versions. Source shows compiled for jdk6 as its supposed to.
Author: Tom Graves <tgraves@yahoo-inc.com>
Author: Thomas Graves <tgraves@staydecay.corp.gq1.yahoo.com>
Closes#6989 from tgravescs/SPARK-8574 and squashes the following commits:
e1ea2d4 [Thomas Graves] Change to use combine.children="append"
150d645 [Tom Graves] [SPARK-8574] org/apache/spark/unsafe doesn't honor the java source/target versions
Fix for incorrect memory in Spark UI as per SPARK-5768
Author: Joshi <rekhajoshm@gmail.com>
Author: Rekha Joshi <rekhajoshm@gmail.com>
Closes#6972 from rekhajoshm/SPARK-5768 and squashes the following commits:
b678a91 [Joshi] Fix for incorrect memory in Spark UI
2fe53d9 [Joshi] Fix for incorrect memory in Spark UI
eb823b8 [Joshi] SPARK-5768: Fix for incorrect memory in Spark UI
0be142d [Rekha Joshi] Merge pull request #3 from apache/master
106fd8e [Rekha Joshi] Merge pull request #2 from apache/master
e3677c9 [Rekha Joshi] Merge pull request #1 from apache/master
`HadoopFsRelation` subclasses, especially `ParquetRelation2` should set its own output format class, so that the default output committer can be setup correctly when doing appending (where we ignore user defined output committers).
Author: Cheng Lian <lian@databricks.com>
Closes#6998 from liancheng/spark-8604 and squashes the following commits:
9be51d1 [Cheng Lian] Adds more comments
6db1368 [Cheng Lian] HadoopFsRelation subclasses should set their output format class
This commit updates the shuffle read path to enable ShuffleReader implementations more control over the deserialization process.
The BlockStoreShuffleFetcher.fetch() method has been renamed to BlockStoreShuffleFetcher.fetchBlockStreams(). Previously, this method returned a record iterator; now, it returns an iterator of (BlockId, InputStream). Deserialization of records is now handled in the ShuffleReader.read() method.
This change creates a cleaner separation of concerns and allows implementations of ShuffleReader more flexibility in how records are retrieved.
Author: Matt Massie <massie@cs.berkeley.edu>
Author: Kay Ousterhout <kayousterhout@gmail.com>
Closes#6423 from massie/shuffle-api-cleanup and squashes the following commits:
8b0632c [Matt Massie] Minor Scala style fixes
d0a1b39 [Matt Massie] Merge pull request #1 from kayousterhout/massie_shuffle-api-cleanup
290f1eb [Kay Ousterhout] Added test for HashShuffleReader.read()
5186da0 [Kay Ousterhout] Revert "Add test to ensure HashShuffleReader is freeing resources"
f98a1b9 [Matt Massie] Add test to ensure HashShuffleReader is freeing resources
a011bfa [Matt Massie] Use PrivateMethodTester on check that delegate stream is closed
4ea1712 [Matt Massie] Small code cleanup for readability
7429a98 [Matt Massie] Update tests to check that BufferReleasingStream is closing delegate InputStream
f458489 [Matt Massie] Remove unnecessary map() on return Iterator
4abb855 [Matt Massie] Consolidate metric code. Make it clear why InterrubtibleIterator is needed.
5c30405 [Matt Massie] Return visibility of BlockStoreShuffleFetcher to private[hash]
7eedd1d [Matt Massie] Small Scala import cleanup
28f8085 [Matt Massie] Small import nit
f93841e [Matt Massie] Update shuffle read metrics in ShuffleReader instead of BlockStoreShuffleFetcher.
7e8e0fe [Matt Massie] Minor Scala style fixes
01e8721 [Matt Massie] Explicitly cast iterator in branches for type clarity
7c8f73e [Matt Massie] Close Block InputStream immediately after all records are read
208b7a5 [Matt Massie] Small code style changes
b70c945 [Matt Massie] Make BlockStoreShuffleFetcher visible to shuffle package
19135f2 [Matt Massie] [SPARK-7884] Allow Spark shuffle APIs to be more customizable
Author: Reynold Xin <rxin@databricks.com>
Closes#7000 from rxin/minor-cleanup and squashes the following commits:
046044c [Reynold Xin] Two minor SQL cleanup (compiler warning & indent).
a follow up of https://github.com/apache/spark/pull/6405.
Note: It's not a big change, a lot of changing is due to I swap some code in `aggregates.scala` to make aggregate functions right below its corresponding aggregate expressions.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#6723 from cloud-fan/type-check and squashes the following commits:
2124301 [Wenchen Fan] fix tests
5a658bb [Wenchen Fan] add tests
287d3bb [Wenchen Fan] apply type check interface to more expressions
Author: fe2s <aka.fe2s@gmail.com>
Author: Oleksiy Dyagilev <oleksiy_dyagilev@epam.com>
Closes#6956 from fe2s/fix-run-tests and squashes the following commits:
31b6edc [fe2s] str is a built-in function, so using it as a variable name will lead to spurious warnings in some Python linters
7d781a0 [fe2s] fixing for openjdk/IBM, seems like they have slightly different wording, but all have 'version' word. Surrounding with spaces for the case if version word appears in _JAVA_OPTIONS
cd455ef [fe2s] address comment, looking for java version string rather than expecting to have on a certain line number
ad577d7 [Oleksiy Dyagilev] [SPARK-8558][BUILD] Script /dev/run-tests fails when _JAVA_OPTIONS env var set
This PR introduces `CatalystSchemaConverter` for converting Parquet schema to Spark SQL schema and vice versa. Original conversion code in `ParquetTypesConverter` is removed. Benefits of the new version are:
1. When converting Spark SQL schemas, it generates standard Parquet schemas conforming to [the most updated Parquet format spec] [1]. Converting to old style Parquet schemas is also supported via feature flag `spark.sql.parquet.followParquetFormatSpec` (which is set to `false` for now, and should be set to `true` after both read and write paths are fixed).
Note that although this version of Parquet format spec hasn't been officially release yet, Parquet MR 1.7.0 already sticks to it. So it should be safe to follow.
1. It implements backwards-compatibility rules described in the most updated Parquet format spec. Thus can recognize more schema patterns generated by other/legacy systems/tools.
1. Code organization follows convention used in [parquet-mr] [2], which is easier to follow. (Structure of `CatalystSchemaConverter` is similar to `AvroSchemaConverter`).
To fully implement backwards-compatibility rules in both read and write path, we also need to update `CatalystRowConverter` (which is responsible for converting Parquet records to `Row`s), `RowReadSupport`, and `RowWriteSupport`. These would be done in follow-up PRs.
TODO
- [x] More schema conversion test cases for legacy schema patterns.
[1]: ea09522659/LogicalTypes.md
[2]: https://github.com/apache/parquet-mr/
Author: Cheng Lian <lian@databricks.com>
Closes#6617 from liancheng/spark-6777 and squashes the following commits:
2a2062d [Cheng Lian] Don't convert decimals without precision information
b60979b [Cheng Lian] Adds a constructor which accepts a Configuration, and fixes default value of assumeBinaryIsString
743730f [Cheng Lian] Decimal scale shouldn't be larger than precision
a104a9e [Cheng Lian] Fixes Scala style issue
1f71d8d [Cheng Lian] Adds feature flag to allow falling back to old style Parquet schema conversion
ba84f4b [Cheng Lian] Fixes MapType schema conversion bug
13cb8d5 [Cheng Lian] Fixes MiMa failure
81de5b0 [Cheng Lian] Fixes UDT, workaround read path, and add tests
28ef95b [Cheng Lian] More AnalysisExceptions
b10c322 [Cheng Lian] Replaces require() with analysisRequire() which throws AnalysisException
cceaf3f [Cheng Lian] Implements backwards compatibility rules in CatalystSchemaConverter
Add Python bindings to StreamingLogisticRegressionwithSGD.
No Java wrappers are needed as models are updated directly using train.
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes#6849 from MechCoder/spark-3258 and squashes the following commits:
b4376a5 [MechCoder] minor
d7e5fc1 [MechCoder] Refactor into StreamingLinearAlgorithm Better docs
9c09d4e [MechCoder] [SPARK-7633] Python bindings for StreamingLogisticRegressionwithSGD
make the `TakeOrdered` strategy and operator more general, such that it can optionally handle a projection when necessary
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#6780 from cloud-fan/limit and squashes the following commits:
34aa07b [Wenchen Fan] revert
07d5456 [Wenchen Fan] clean closure
20821ec [Wenchen Fan] fix
3676a82 [Wenchen Fan] address comments
b558549 [Wenchen Fan] address comments
214842b [Wenchen Fan] fix style
2d8be83 [Wenchen Fan] add LimitPushDown
948f740 [Wenchen Fan] fix existing
ResolveReferences analysis rule now does not throw when it cannot resolve references in a self-join.
Author: Santiago M. Mola <smola@stratio.com>
Closes#6853 from smola/SPARK-7088 and squashes the following commits:
af71ac7 [Santiago M. Mola] [SPARK-7088] Fix analysis for 3rd party logical plan.
Author: Holden Karau <holden@pigscanfly.ca>
Closes#6928 from holdenk/SPARK-8506-sparkr-does-not-provide-an-easy-way-to-depend-on-spark-packages-when-performing-init-from-inside-of-r and squashes the following commits:
b60dd63 [Holden Karau] Add an example with the spark-csv package
fa8bc92 [Holden Karau] typo: sparm -> spark
865a90c [Holden Karau] strip spaces for comparision
c7a4471 [Holden Karau] Add some documentation
c1a9233 [Holden Karau] refactor for testing
c818556 [Holden Karau] Add pakages to R
Moved where the X axis' name (#batches) is written in histograms in the spark streaming web ui so the histograms and the axis' name do not overlap.
Author: BenFradet <benjamin.fradet@gmail.com>
Closes#6845 from BenFradet/SPARK-8399 and squashes the following commits:
b63695f [BenFradet] adjusted inner histograms
eb610ee [BenFradet] readjusted #batches on the x axis
dd46f98 [BenFradet] aligned all unit labels and ticks
0564b62 [BenFradet] readjusted #batches placement
edd0936 [BenFradet] moved where the X axis' name (#batches) is written in histograms in the spark streaming web ui
Both of these options are useful when spark-ec2 is being used as part of an automated pipeline and the engineers want to minimize the need to pass around AWS keys for access to things like S3 (keys are replaced by the IAM role) and to be able to launch a cluster that can terminate itself cleanly.
Author: Nicholas Chammas <nicholas.chammas@gmail.com>
Closes#6962 from nchammas/additional-ec2-options and squashes the following commits:
fcf252e [Nicholas Chammas] PEP8 fixes
efba9ee [Nicholas Chammas] add help for --instance-initiated-shutdown-behavior
598aecf [Nicholas Chammas] option to launch instances into IAM role
2743632 [Nicholas Chammas] add option for instance initiated shutdown
https://issues.apache.org/jira/browse/SPARK-8578
It is not very safe to use a custom output committer when append data to an existing dir. This changes adds the logic to check if we are appending data, and if so, we use the output committer associated with the file output format.
Author: Yin Huai <yhuai@databricks.com>
Closes#6964 from yhuai/SPARK-8578 and squashes the following commits:
43544c4 [Yin Huai] Do not use a custom output commiter when appendiing data.
Using similar approach used in `HiveThriftServer2Suite` to print stdout/stderr of the spawned process instead of logging them to see what happens on Jenkins. (This test suite only fails on Jenkins and doesn't spill out any log...)
cc yhuai
Author: Cheng Lian <lian@databricks.com>
Closes#6978 from liancheng/debug-hive-spark-submit-suite and squashes the following commits:
b031647 [Cheng Lian] Prints process stdout/stderr instead of logging them
This PR improves the error message shown when conflicting partition column names are detected. This can be particularly annoying and confusing when there are a large number of partitions while a handful of them happened to contain unexpected temporary file(s). Now all suspicious directories are listed as below:
```
java.lang.AssertionError: assertion failed: Conflicting partition column names detected:
Partition column name list #0: b, c, d
Partition column name list #1: b, c
Partition column name list #2: b
For partitioned table directories, data files should only live in leaf directories. Please check the following directories for unexpected files:
file:/tmp/foo/b=0
file:/tmp/foo/b=1
file:/tmp/foo/b=1/c=1
file:/tmp/foo/b=0/c=0
```
Author: Cheng Lian <lian@databricks.com>
Closes#6610 from liancheng/part-errmsg and squashes the following commits:
7d05f2c [Cheng Lian] Fixes Scala style issue
a149250 [Cheng Lian] Adds test case for the error message
6b74dd8 [Cheng Lian] Also lists suspicious non-leaf partition directories
a935eb8 [Cheng Lian] Improves error message when conflicting partition columns are found
