This is a following clean up PR for #5010
This will resolve issues when launching `hive/console` like below:
```
<console>:20: error: object ParquetTestData is not a member of package org.apache.spark.sql.parquet
import org.apache.spark.sql.parquet.ParquetTestData
```
Author: OopsOutOfMemory <victorshengli@126.com>
Closes#5032 from OopsOutOfMemory/SPARK-6285 and squashes the following commits:
2996aeb [OopsOutOfMemory] remove ParquetTestData
Added tests that maropu [created](1f64794b2c/graphx/src/test/scala/org/apache/spark/graphx/VertexRDDSuite.scala) for vertices with differing partition counts. Wanted to make sure his work got captured /merged as its not in the master branch and I don't believe there's a PR out already for it.
Author: Brennon York <brennon.york@capitalone.com>
Closes#5023 from brennonyork/SPARK-5790 and squashes the following commits:
83bbd29 [Brennon York] added maropu's tests for vertices with differing partition counts
Updated the configuration docs from the minor items that Reynold had left over from SPARK-1182; specifically I updated the `running-on-mesos` link to point directly to `running-on-mesos#configuration` and upgraded the `yarn`, `mesos`, etc. bullets to `<h5>` tags in hopes that they'll get pushed into the TOC.
Author: Brennon York <brennon.york@capitalone.com>
Closes#5022 from brennonyork/SPARK-6329 and squashes the following commits:
42a10a9 [Brennon York] minor doc fixes
This PR adds a specialized in-memory column type for fixed-precision decimals.
For all other column types, a single integer column type ID is enough to determine which column type to use. However, this doesn't apply to fixed-precision decimal types with different precision and scale parameters. Moreover, according to the previous design, there seems no trivial way to encode precision and scale information into the columnar byte buffer. On the other hand, considering we always know the data type of the column to be built / scanned ahead of time. This PR no longer use column type ID to construct `ColumnBuilder`s and `ColumnAccessor`s, but resorts to the actual column data type. In this way, we can pass precision / scale information along the way.
The column type ID is now not used anymore and can be removed in a future PR.
### Micro benchmark result
The following micro benchmark builds a simple table with 2 million decimals (precision = 10, scale = 0), cache it in memory, then count all the rows. Code (simply paste it into Spark shell):
```scala
import sc._
import sqlContext._
import sqlContext.implicits._
import org.apache.spark.sql.types._
import com.google.common.base.Stopwatch
def benchmark(n: Int)(f: => Long) {
val stopwatch = new Stopwatch()
def run() = {
stopwatch.reset()
stopwatch.start()
f
stopwatch.stop()
stopwatch.elapsedMillis()
}
val records = (0 until n).map(_ => run())
(0 until n).foreach(i => println(s"Round $i: ${records(i)} ms"))
println(s"Average: ${records.sum / n.toDouble} ms")
}
// Explicit casting is required because ScalaReflection can't inspect decimal precision
parallelize(1 to 2000000)
.map(i => Tuple1(Decimal(i, 10, 0)))
.toDF("dec")
.select($"dec" cast DecimalType(10, 0))
.registerTempTable("dec")
sql("CACHE TABLE dec")
val df = table("dec")
// Warm up
df.count()
df.count()
benchmark(5) {
df.count()
}
```
With `FIXED_DECIMAL` column type:
- Round 0: 75 ms
- Round 1: 97 ms
- Round 2: 75 ms
- Round 3: 70 ms
- Round 4: 72 ms
- Average: 77.8 ms
Without `FIXED_DECIMAL` column type:
- Round 0: 1233 ms
- Round 1: 1170 ms
- Round 2: 1171 ms
- Round 3: 1141 ms
- Round 4: 1141 ms
- Average: 1171.2 ms
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Author: Cheng Lian <lian@databricks.com>
Closes#4938 from liancheng/decimal-column-type and squashes the following commits:
fef5338 [Cheng Lian] Updates fixed decimal column type related test cases
e08ab5b [Cheng Lian] Only resorts to FIXED_DECIMAL when the value can be held in a long
4db713d [Cheng Lian] Adds in-memory column type for fixed-precision decimals
Author: ArcherShao <ArcherShao@users.noreply.github.com>
Author: ArcherShao <shaochuan@huawei.com>
Closes#5007 from ArcherShao/20150313 and squashes the following commits:
ae422ae [ArcherShao] Updated
459efbd [ArcherShao] [SQL]Delete some dupliate code in HiveThriftServer2
use prettyString instead of toString() (which include id of expression) as column name in agg()
Author: Davies Liu <davies@databricks.com>
Closes#5006 from davies/prettystring and squashes the following commits:
cb1fdcf [Davies Liu] use prettyString as column name in agg()
Author: vinodkc <vinod.kc.in@gmail.com>
Author: Vinod K C <vinod.kc@huawei.com>
Closes#5011 from vinodkc/HIVE_console_startupError and squashes the following commits:
b43925f [vinodkc] Changed order of import
b4f5453 [Vinod K C] Fixed HIVE console startup issue
All the contents in this file are not referenced anywhere and should have been removed in #4116 when I tried to get rid of the old Parquet test suites.
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Author: Cheng Lian <lian@databricks.com>
Closes#5010 from liancheng/spark-6285 and squashes the following commits:
06ed057 [Cheng Lian] Removes unused ParquetTestData and duplicated TestGroupWriteSupport
Turns out, per the [convo on the JIRA](https://issues.apache.org/jira/browse/SPARK-4600), `diff` is acting exactly as should. It became a large misconception as I thought it meant set difference, when in fact it does not. To that extent I merely updated the `diff` documentation to, hopefully, better reflect its true intentions moving forward.
Author: Brennon York <brennon.york@capitalone.com>
Closes#5015 from brennonyork/SPARK-4600 and squashes the following commits:
1e1d1e5 [Brennon York] reverted internal diff docs
92288f7 [Brennon York] reverted both the test suite and the diff function back to its origin functionality
f428623 [Brennon York] updated diff documentation to better represent its function
cc16d65 [Brennon York] Merge remote-tracking branch 'upstream/master' into SPARK-4600
66818b9 [Brennon York] added small secondary diff test
99ad412 [Brennon York] Merge remote-tracking branch 'upstream/master' into SPARK-4600
74b8c95 [Brennon York] corrected method by leveraging bitmask operations to correctly return only the portions of that are different from the calling VertexRDD
9717120 [Brennon York] updated diff impl to cause fewer objects to be created
710a21c [Brennon York] working diff given test case
aa57f83 [Brennon York] updated to set ShortestPaths to run 'forward' rather than 'backward'
As discussed in the RC3 vote thread, we should mention the change of objective in linear regression in the migration guide. srowen
Author: Xiangrui Meng <meng@databricks.com>
Closes#4978 from mengxr/SPARK-6278 and squashes the following commits:
fb3bbe6 [Xiangrui Meng] mention regularization parameter
bfd6cff [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-6278
375fd09 [Xiangrui Meng] address Sean's comments
f87ae71 [Xiangrui Meng] mention step size change
Note: not relevant for Python API since it only has a static train method
Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com>
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#4969 from jkbradley/SPARK-6252 and squashes the following commits:
a471d90 [Joseph K. Bradley] small edits from review
63eff48 [Joseph K. Bradley] Added getLambda to Scala NaiveBayes
This existed at the very beginning, but became unnecessary after [this commit](37d8f37a8e (diff-6a9ff7fb74fd490a50462d45db2d5e11L272)). I think we should remove it if we don't plan to use it in the future.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#4992 from cloud-fan/small and squashes the following commits:
e857f2e [Wenchen Fan] remove unnecessary ClassTag
For details, please refer to [SPARK-6197](https://issues.apache.org/jira/browse/SPARK-6197)
Author: Zhang, Liye <liye.zhang@intel.com>
Closes#4927 from liyezhang556520/jsonParseError and squashes the following commits:
5cbdc82 [Zhang, Liye] without unnecessary wrap
2b48831 [Zhang, Liye] small changes with sean owen's comments
2973024 [Zhang, Liye] handle json exception when file not finished writing
Also fixed a bunch of minor styling issues.
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Author: Cheng Lian <lian@databricks.com>
Closes#5001 from liancheng/parquet-doc and squashes the following commits:
89ad3db [Cheng Lian] Addresses @rxin's comments
7eb6955 [Cheng Lian] Docs for the new Parquet data source
415eefb [Cheng Lian] Some minor formatting improvements
I've added a timer in the right place to fix this inaccuracy.
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Closes#4965 from ilganeli/SPARK-5845 and squashes the following commits:
bfabf88 [Ilya Ganelin] Changed to using a foreach vs. getorelse
3e059b0 [Ilya Ganelin] Switched to using getorelse
b946d08 [Ilya Ganelin] Fixed error with option
9434b50 [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5845
db8647e [Ilya Ganelin] Added update for shuffleWriteTime around spilled file cleanup in ExternalSorter
This fixes a big in the release script and also properly sets things
up so that Zinc launches multiple processes. I had done something
similar in 0c9a8e but it didn't fully work.
Add LassoModel to __all__ in regression.py
LassoModel does not show up in Python docs
This should be merged into branch-1.3 and master.
Author: Joseph K. Bradley <joseph@databricks.com>
Closes#4970 from jkbradley/SPARK-6253 and squashes the following commits:
c2cb533 [Joseph K. Bradley] Add LassoModel to __all__ in regression.py
This continues the work in #4460 from srowen . The design doc is published on the JIRA page with some minor changes.
Short description of ML attributes: https://github.com/apache/spark/pull/4925/files?diff=unified#diff-95e7f5060429f189460b44a3f8731a35R24
More details can be found in the design doc.
srowen Could you help review this PR? There are many lines but most of them are boilerplate code.
Author: Xiangrui Meng <meng@databricks.com>
Author: Sean Owen <sowen@cloudera.com>
Closes#4925 from mengxr/SPARK-4588-new and squashes the following commits:
71d1bd0 [Xiangrui Meng] add JavaDoc for package ml.attribute
617be40 [Xiangrui Meng] remove final; rename cardinality to numValues
393ffdc [Xiangrui Meng] forgot to include Java attribute group tests
b1aceef [Xiangrui Meng] more tests
e7ab467 [Xiangrui Meng] update ML attribute impl
7c944da [Sean Owen] Add FeatureType hierarchy and categorical cardinality
2a21d6d [Sean Owen] Initial draft of FeatureAttributes class
jira: https://issues.apache.org/jira/browse/SPARK-6268
KMeans has many setters for parameters. It should have matching getters.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#4974 from hhbyyh/get4Kmeans and squashes the following commits:
f44d4dc [Yuhao Yang] add experimental to getRuns
f94a3d7 [Yuhao Yang] add get for KMeans
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#5002 from vanzin/mkdist-hotfix and squashes the following commits:
ced65f7 [Marcelo Vanzin] [build] [hotfix] Fix make-distribution.sh for Scala 2.11.
Miss `toDF()` function in docs/sql-programming-guide.md
Author: zzcclp <xm_zzc@sina.com>
Closes#4977 from zzcclp/SPARK-6275 and squashes the following commits:
9a96c7b [zzcclp] Miss toDF()
The issue is discussed in https://issues.apache.org/jira/browse/SPARK-5669. Replacing all JBLAS usage by netlib-java gives us a simpler dependency tree and less license issues to worry about. I didn't touch the test scope in this PR. The user guide is not modified to avoid merge conflicts with branch-1.3. srowen ankurdave pwendell
Author: Xiangrui Meng <meng@databricks.com>
Closes#4699 from mengxr/SPARK-5814 and squashes the following commits:
48635c6 [Xiangrui Meng] move netlib-java version to parent pom
ca21c74 [Xiangrui Meng] remove jblas from ml-guide
5f7767a [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-5814
c5c4183 [Xiangrui Meng] merge master
0f20cad [Xiangrui Meng] add mima excludes
e53e9f4 [Xiangrui Meng] remove jblas from mllib runtime
ceaa14d [Xiangrui Meng] replace jblas by netlib-java in graphx
fa7c2ca [Xiangrui Meng] move jblas to test scope
The Thread.interrupt() can not terminate the thread in some cases, so we should not wait for the writerThread of PythonRDD.
This PR also ignore some exception during clean up.
cc JoshRosen mengxr
Author: Davies Liu <davies@databricks.com>
Closes#4987 from davies/fix_take and squashes the following commits:
4488f1a [Davies Liu] fix hang when call take() in JVM on PythonRDD
Author: Volodymyr Lyubinets <vlyubin@gmail.com>
Closes#4988 from vlyubin/columncomp and squashes the following commits:
92d7c8f [Volodymyr Lyubinets] Added equals to Column
Updates to the documentation are as follows:
- Added information on Kafka Direct API and Kafka Python API
- Added joins to the main streaming guide
- Improved details on the fault-tolerance semantics
Generated docs located here
http://people.apache.org/~tdas/spark-1.3.0-temp-docs/streaming-programming-guide.html#fault-tolerance-semantics
More things to add:
- Configuration for Kafka receive rate
- May be add concurrentJobs
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#4956 from tdas/streaming-guide-update-1.3 and squashes the following commits:
819408c [Tathagata Das] Minor fixes.
debe484 [Tathagata Das] Added DataFrames and MLlib
380cf8d [Tathagata Das] Fix link
04167a6 [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into streaming-guide-update-1.3
0b77486 [Tathagata Das] Updates based on Josh's comments.
86c4c2a [Tathagata Das] Updated streaming guides
82de92a [Tathagata Das] Add Kafka to Python api docs
Avoid `UnsupportedOperationException` from JsonRDD.inferSchema on empty RDD.
Not sure if this is supposed to be an error (but a better one), but it seems like this case can come up if the input is down-sampled so much that nothing is sampled.
Now stuff like this:
```
sqlContext.jsonRDD(sc.parallelize(List[String]()))
```
just results in
```
org.apache.spark.sql.DataFrame = []
```
Author: Sean Owen <sowen@cloudera.com>
Closes#4971 from srowen/SPARK-6245 and squashes the following commits:
3699964 [Sean Owen] Set() -> Set.empty
3c619e1 [Sean Owen] Avoid UnsupportedOperationException from JsonRDD.inferSchema on empty RDD
Author: Sandy Ryza <sandy@cloudera.com>
Closes#2490 from sryza/sandy-spark-3642 and squashes the following commits:
aae3340 [Sandy Ryza] SPARK-3642. Document the nuances of broadcast variables
Hi all - I've added a writeup on how closures work within Spark to help clarify the general case for this problem and similar problems. I hope this addresses the issue and would love any feedback.
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Closes#4696 from ilganeli/SPARK-4423 and squashes the following commits:
c5dc498 [Ilya Ganelin] Fixed typo
07b78e8 [Ilya Ganelin] Updated to fix capitalization
48c1983 [Ilya Ganelin] Updated to fix capitalization and clarify wording
2fd2a07 [Ilya Ganelin] Incoporated a few more minor fixes. Fixed a bug in python code. Added semicolons for java
4772f99 [Ilya Ganelin] Incorporated latest feedback
448bd79 [Ilya Ganelin] Updated some verbage and added section links
5dbbda5 [Ilya Ganelin] Improved some wording
d374d3a [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-4423
2600668 [Ilya Ganelin] Minor edits
c768ab2 [Ilya Ganelin] Updated documentation to add a section on closures. This helps understand confusing behavior of foreach and map functions when attempting to modify variables outside of the scope of an RDD action or transformation
.../common.
No code changes. Left the shuffle-related files in the shuffle module.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#4953 from vanzin/SPARK-6228 and squashes the following commits:
664ef30 [Marcelo Vanzin] [SPARK-6228] [network] Move SASL classes from network/shuffle to network/common.
Resolve javac, scalac warnings of various types -- deprecations, Scala lang, unchecked cast, etc.
Author: Sean Owen <sowen@cloudera.com>
Closes#4950 from srowen/SPARK-6225 and squashes the following commits:
3080972 [Sean Owen] Ordered imports: Java, Scala, 3rd party, Spark
c67985b [Sean Owen] Resolve javac, scalac warnings of various types -- deprecations, Scala lang, unchecked cast, etc.
In KafkaRDD.scala, Miss expressions flag "s" at logging string
In logging file, it print `Beginning offset $
{part.fromOffset}
is the same as ending offset ` but not `Beginning offset 111 is the same as ending offset `.
Author: zzcclp <xm_zzc@sina.com>
Closes#4979 from zzcclp/SPARK-6279 and squashes the following commits:
768f88e [zzcclp] Miss expressions flag "s"
Removed an repeated "from" in the comments.
Author: Hongbo Liu <liuhb86@gmail.com>
Closes#4976 from liuhb86/mine and squashes the following commits:
e280e7c [Hongbo Liu] [SQL][Minor] fix typo in comments
Fix map -> mapToPair in Java example. (And zap some unneeded "throws Exception" while here)
Author: Sean Owen <sowen@cloudera.com>
Closes#4967 from srowen/MapToPairFix and squashes the following commits:
ded2bc0 [Sean Owen] Fix map -> mapToPair in Java example. (And zap some unneeded "throws Exception" while here)
This change encapsulates all the logic involved in launching a Spark job
into a small Java library that can be easily embedded into other applications.
The overall goal of this change is twofold, as described in the bug:
- Provide a public API for launching Spark processes. This is a common request
from users and currently there's no good answer for it.
- Remove a lot of the duplicated code and other coupling that exists in the
different parts of Spark that deal with launching processes.
A lot of the duplication was due to different code needed to build an
application's classpath (and the bootstrapper needed to run the driver in
certain situations), and also different code needed to parse spark-submit
command line options in different contexts. The change centralizes those
as much as possible so that all code paths can rely on the library for
handling those appropriately.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#3916 from vanzin/SPARK-4924 and squashes the following commits:
18c7e4d [Marcelo Vanzin] Fix make-distribution.sh.
2ce741f [Marcelo Vanzin] Add lots of quotes.
3b28a75 [Marcelo Vanzin] Update new pom.
a1b8af1 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
897141f [Marcelo Vanzin] Review feedback.
e2367d2 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
28cd35e [Marcelo Vanzin] Remove stale comment.
b1d86b0 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
00505f9 [Marcelo Vanzin] Add blurb about new API in the programming guide.
5f4ddcc [Marcelo Vanzin] Better usage messages.
92a9cfb [Marcelo Vanzin] Fix Win32 launcher, usage.
6184c07 [Marcelo Vanzin] Rename field.
4c19196 [Marcelo Vanzin] Update comment.
7e66c18 [Marcelo Vanzin] Fix pyspark tests.
0031a8e [Marcelo Vanzin] Review feedback.
c12d84b [Marcelo Vanzin] Review feedback. And fix spark-submit on Windows.
e2d4d71 [Marcelo Vanzin] Simplify some code used to launch pyspark.
43008a7 [Marcelo Vanzin] Don't make builder extend SparkLauncher.
b4d6912 [Marcelo Vanzin] Use spark-submit script in SparkLauncher.
28b1434 [Marcelo Vanzin] Add a comment.
304333a [Marcelo Vanzin] Fix propagation of properties file arg.
bb67b93 [Marcelo Vanzin] Remove unrelated Yarn change (that is also wrong).
8ec0243 [Marcelo Vanzin] Add missing newline.
95ddfa8 [Marcelo Vanzin] Fix handling of --help for spark-class command builder.
72da7ec [Marcelo Vanzin] Rename SparkClassLauncher.
62978e4 [Marcelo Vanzin] Minor cleanup of Windows code path.
9cd5b44 [Marcelo Vanzin] Make all non-public APIs package-private.
e4c80b6 [Marcelo Vanzin] Reorganize the code so that only SparkLauncher is public.
e50dc5e [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
de81da2 [Marcelo Vanzin] Fix CommandUtils.
86a87bf [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
2061967 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
46d46da [Marcelo Vanzin] Clean up a test and make it more future-proof.
b93692a [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
ad03c48 [Marcelo Vanzin] Revert "Fix a thread-safety issue in "local" mode."
0b509d0 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
23aa2a9 [Marcelo Vanzin] Read java-opts from conf dir, not spark home.
7cff919 [Marcelo Vanzin] Javadoc updates.
eae4d8e [Marcelo Vanzin] Fix new unit tests on Windows.
e570fb5 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
44cd5f7 [Marcelo Vanzin] Add package-info.java, clean up javadocs.
f7cacff [Marcelo Vanzin] Remove "launch Spark in new thread" feature.
7ed8859 [Marcelo Vanzin] Some more feedback.
54cd4fd [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
61919df [Marcelo Vanzin] Clean leftover debug statement.
aae5897 [Marcelo Vanzin] Use launcher classes instead of jars in non-release mode.
e584fc3 [Marcelo Vanzin] Rework command building a little bit.
525ef5b [Marcelo Vanzin] Rework Unix spark-class to handle argument with newlines.
8ac4e92 [Marcelo Vanzin] Minor test cleanup.
e946a99 [Marcelo Vanzin] Merge PySparkLauncher into SparkSubmitCliLauncher.
c617539 [Marcelo Vanzin] Review feedback round 1.
fc6a3e2 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
f26556b [Marcelo Vanzin] Fix a thread-safety issue in "local" mode.
2f4e8b4 [Marcelo Vanzin] Changes needed to make this work with SPARK-4048.
799fc20 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
bb5d324 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
53faef1 [Marcelo Vanzin] Merge branch 'master' into SPARK-4924
a7936ef [Marcelo Vanzin] Fix pyspark tests.
656374e [Marcelo Vanzin] Mima fixes.
4d511e7 [Marcelo Vanzin] Fix tools search code.
7a01e4a [Marcelo Vanzin] Fix pyspark on Yarn.
1b3f6e9 [Marcelo Vanzin] Call SparkSubmit from spark-class launcher for unknown classes.
25c5ae6 [Marcelo Vanzin] Centralize SparkSubmit command line parsing.
27be98a [Marcelo Vanzin] Modify Spark to use launcher lib.
6f70eea [Marcelo Vanzin] [SPARK-4924] Add a library for launching Spark jobs programatically.
This PR adds save/load for K-means as described in SPARK-5986. Python version will be added in another PR.
Author: Xusen Yin <yinxusen@gmail.com>
Closes#4951 from yinxusen/SPARK-5986 and squashes the following commits:
6dd74a0 [Xusen Yin] rewrite some functions and classes
cd390fd [Xusen Yin] add indexed point
b144216 [Xusen Yin] remove invalid comments
dce7055 [Xusen Yin] add save/load for k-means for SPARK-5986
Author: Michael Armbrust <michael@databricks.com>
Closes#4958 from marmbrus/sqlDocs and squashes the following commits:
9351dbc [Michael Armbrust] fix parquet example
6877e13 [Michael Armbrust] add sql examples
d81b7e7 [Michael Armbrust] rxins comments
e393528 [Michael Armbrust] fix order
19c2735 [Michael Armbrust] more on data source load/store
00d5914 [Michael Armbrust] Update SQL Docs with JDBC and Migration Guide
The extra blank line is preventing the first lines from showing up in the package summary page.
Author: Reynold Xin <rxin@databricks.com>
Closes#4955 from rxin/datatype-docs and squashes the following commits:
1621114 [Reynold Xin] Minor doc: Remove the extra blank line in data types javadoc.
This PR comes from Tachyon community to solve the issue:
https://tachyon.atlassian.net/browse/TACHYON-11
An accompanying PR is in mesos/spark-ec2:
https://github.com/mesos/spark-ec2/pull/101
Author: cheng chang <myairia@gmail.com>
Closes#4901 from uronce-cc/master and squashes the following commits:
313aa36 [cheng chang] minor re-wording
fd2a48e [cheng chang] Remove Tachyon when deploying through git hash
1d53c5c [cheng chang] add default value to --tachyon-version
6f8887e [cheng chang] make tachyon version configurable
Right now we have a method to specifically download boto. This PR generalizes it so it's easy to download additional libraries if we want.
For example, adding new external libraries for spark-ec2 is now as simple as:
```python
external_libs = [
{
"name": "boto",
"version": "2.34.0",
"md5": "5556223d2d0cc4d06dd4829e671dcecd"
},
{
"name": "PyYAML",
"version": "3.11",
"md5": "f50e08ef0fe55178479d3a618efe21db"
},
{
"name": "argparse",
"version": "1.3.0",
"md5": "9bcf7f612190885c8c85e30ba41db3c7"
}
]
```
Likely use cases:
* Downloading PyYAML to allow spark-ec2 configs to be persisted as a YAML file. ([SPARK-925](https://issues.apache.org/jira/browse/SPARK-925))
* Downloading argparse to clean up / modernize our option parsing.
First run output, with PyYAML and argparse added just for demonstration purposes:
```shell
$ ./spark-ec2 --version
Downloading external libraries that spark-ec2 needs from PyPI to /path/to/spark/ec2/lib...
This should be a one-time operation.
- Downloading boto...
- Finished downloading boto.
- Downloading PyYAML...
- Finished downloading PyYAML.
- Downloading argparse...
- Finished downloading argparse.
spark-ec2 1.2.1
```
Output thereafter:
```shell
$ ./spark-ec2 --version
spark-ec2 1.2.1
```
Author: Nicholas Chammas <nicholas.chammas@gmail.com>
Closes#4919 from nchammas/setup-ec2-libs and squashes the following commits:
a077955 [Nicholas Chammas] print default region
c95fb7d [Nicholas Chammas] to docstring
5448845 [Nicholas Chammas] remove libs added for demo purposes
60d8c23 [Nicholas Chammas] generalize ability to download libs
A simple try-catch wrapping KryoException to be more informative.
Author: Lev Khomich <levkhomich@gmail.com>
Closes#4947 from levkhomich/master and squashes the following commits:
0f7a947 [Lev Khomich] [SPARK-6087][CORE] Provide actionable exception if Kryo buffer is not large enough
JIRA: https://issues.apache.org/jira/browse/SPARK-6177
Add comment to introduce coalesce to LDA example to avoid the possible massive partitions from `sc.textFile`.
sc.textFile will create RDD with one partition for each file, and the possible massive partitions downgrades LDA performance.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#4899 from hhbyyh/adjustPartition and squashes the following commits:
a499630 [Yuhao Yang] update comment
9a2d7b6 [Yuhao Yang] move to comment
f7fd5d4 [Yuhao Yang] Merge remote-tracking branch 'upstream/master' into adjustPartition
26a564a [Yuhao Yang] add coalesce to LDAExample
Because circular reference between JavaObject and JavaMember, an Java object can not be released until Python GC kick in, then it will cause memory leak in collect(), which may consume lots of memory in JVM.
This PR change the way we sending collected data back into Python from local file to socket, which could avoid any disk IO during collect, also avoid any referrers of Java object in Python.
cc JoshRosen
Author: Davies Liu <davies@databricks.com>
Closes#4923 from davies/fix_collect and squashes the following commits:
d730286 [Davies Liu] address comments
24c92a4 [Davies Liu] fix style
ba54614 [Davies Liu] use socket to transfer data from JVM
9517c8f [Davies Liu] fix memory leak in collect()
Author: Reynold Xin <rxin@databricks.com>
Closes#4954 from rxin/df-docs and squashes the following commits:
c592c70 [Reynold Xin] [SPARK-5310][Doc] Update SQL Programming Guide to include DataFrames.
Author: Reynold Xin <rxin@databricks.com>
Closes#4952 from rxin/schemardd-df-reference and squashes the following commits:
b2b1dbe [Reynold Xin] [Docs] Replace references to SchemaRDD with DataFrame
As described in https://issues.apache.org/jira/browse/SPARK-6188 and discovered in https://issues.apache.org/jira/browse/SPARK-5838.
When re-starting a cluster, if the user does not provide the instance types, which is the recommended behavior in the docs currently, the instance will be assigned the default type m1.large. This then affects the setup of the machines.
This solves this by getting the instance types from the existing instances, and overwriting the default options.
EDIT: Further clarification of the issue:
In short, while the instances themselves are the same as launched, their setup is done assuming the default instance type, m1.large.
This means that the machines are assumed to have 2 disks, and that leads to problems that are described in in issue [5838](https://issues.apache.org/jira/browse/SPARK-5838), where machines that have one disk end up having shuffle spills in the in the small (8GB) snapshot partitions that quickly fills up and results in failing jobs due to "No space left on device" errors.
Other instance specific settings that are set in the spark_ec2.py script are likely to be wrong as well.
Author: Theodore Vasiloudis <thvasilo@users.noreply.github.com>
Author: Theodore Vasiloudis <tvas@sics.se>
Closes#4916 from thvasilo/SPARK-6188]-Instance-types-can-be-mislabeled-when-re-starting-cluster-with-default-arguments and squashes the following commits:
6705b98 [Theodore Vasiloudis] Added comment to clarify setting master instance type to the empty string.
a3d29fe [Theodore Vasiloudis] More trailing whitespace
7b32429 [Theodore Vasiloudis] Removed trailing whitespace
3ebd52a [Theodore Vasiloudis] Make sure that the instance type is correct when relaunching a cluster.
1. Removed unnecessary import
2. Modified usage print since user must specify the --numEPart parameter as it is required in Analytics.main
Author: Jacky Li <jacky.likun@huawei.com>
Closes#4917 from jackylk/import and squashes the following commits:
6c07682 [Jacky Li] fix comment
c0df8f2 [Jacky Li] fix scalastyle
b6235e6 [Jacky Li] fix for comment
87be83b [Jacky Li] remove default value description
5caae76 [Jacky Li] remove import and modify usage
Add xml-apis to core test deps to work aroudn UISeleniumSuite classpath issue
Author: Sean Owen <sowen@cloudera.com>
Closes#4933 from srowen/SPARK-6205 and squashes the following commits:
ddd4d32 [Sean Owen] Add xml-apis to core test deps to work aroudn UISeleniumSuite classpath issue
