Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#5299 from viirya/stringcontains and squashes the following commits:
c1ece4c [Liang-Chi Hsieh] Should be Contains instead of EndsWith.
Before it was possible for a query to flip back and forth from a resolved state, allowing resolution to propagate up before coercion had stabilized. The issue was that `ResolvedReferences` would run after `FunctionArgumentConversion`, but before `PropagateTypes` had run. This PR ensures we correctly `PropagateTypes` after any coercion has applied.
Author: Michael Armbrust <michael@databricks.com>
Closes#5278 from marmbrus/unionNull and squashes the following commits:
dc3581a [Michael Armbrust] [SPARK-5371][SQL] Propogate types after function conversion / before futher resolution
Python API parity check for classification and multiclass classification support, major disparities need to be added for Python:
```scala
LogisticRegressionWithLBFGS
setNumClasses
setValidateData
LogisticRegressionModel
getThreshold
numClasses
numFeatures
SVMWithSGD
setValidateData
SVMModel
getThreshold
```
For users the greatest benefit in this PR is multiclass classification was supported by Python API.
Users can train multiclass classification model and use it to predict in pyspark.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes#5137 from yanboliang/spark-6255 and squashes the following commits:
0bd531e [Yanbo Liang] address comments
444d5e2 [Yanbo Liang] LogisticRegressionModel.predict() optimization
fc7990b [Yanbo Liang] address comments
b0d9c63 [Yanbo Liang] Support Mulinomial LR model predict in Python API
ded847c [Yanbo Liang] Python API parity check for classification (support multiclass classification)
This is the sub-task of SPARK-6254.
Wrapping IDFModel `idf` member function for pyspark.
Author: lewuathe <lewuathe@me.com>
Closes#5264 from Lewuathe/SPARK-6598 and squashes the following commits:
1dc522c [lewuathe] [SPARK-6598] Python API for IDFModel
This PR is based on work by cloud-fan in #4904, but with two differences:
- We isolate the logic for Sort's special handling into `ResolveSortReferences`
- We avoid creating UnresolvedGetField expressions during resolution. Instead we either resolve GetField or we return None. This avoids us going down the wrong path early on.
Author: Michael Armbrust <michael@databricks.com>
Closes#5189 from marmbrus/nestedOrderBy and squashes the following commits:
b8cae45 [Michael Armbrust] fix another test
0f36a11 [Michael Armbrust] WIP
91820cd [Michael Armbrust] Fix bug.
Consider a metastore Parquet table that
1. doesn't have schema evolution issue
2. has lots of data files and/or partitions
In this case, driver schema merging can be both slow and unnecessary. Would be good to have a configuration to let the use disable schema merging when converting such a metastore Parquet table.
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Author: Cheng Lian <lian@databricks.com>
Closes#5231 from liancheng/spark-6575 and squashes the following commits:
cd96159 [Cheng Lian] Adds configuration to disable schema merging while converting metastore Parquet tables
Also removes temporary workarounds made in #5183 and #5251.
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Author: Cheng Lian <lian@databricks.com>
Closes#5289 from liancheng/spark-6555 and squashes the following commits:
d0095ac [Cheng Lian] Removes unused imports
cfafeeb [Cheng Lian] Removes outdated comment
75a2746 [Cheng Lian] Overrides equals() and hashCode() for MetastoreRelation
Added optional model type parameter for NaiveBayes training. Can be either Multinomial or Bernoulli.
When Bernoulli is given the Bernoulli smoothing is used for fitting and for prediction as per: http://nlp.stanford.edu/IR-book/html/htmledition/the-bernoulli-model-1.html.
Default for model is original Multinomial fit and predict.
Added additional testing for Bernoulli and Multinomial models.
Author: leahmcguire <lmcguire@salesforce.com>
Author: Joseph K. Bradley <joseph@databricks.com>
Author: Leah McGuire <lmcguire@salesforce.com>
Closes#4087 from leahmcguire/master and squashes the following commits:
f3c8994 [leahmcguire] changed checks on model type to requires
acb69af [leahmcguire] removed enum type and replaces all modelType parameters with strings
2224b15 [Leah McGuire] Merge pull request #2 from jkbradley/leahmcguire-master
9ad89ca [Joseph K. Bradley] removed old code
6a8f383 [Joseph K. Bradley] Added new model save/load format 2.0 for NaiveBayesModel after modelType parameter was added. Updated tests. Also updated ModelType enum-like type.
852a727 [leahmcguire] merged with upstream master
a22d670 [leahmcguire] changed NaiveBayesModel modelType parameter back to NaiveBayes.ModelType, made NaiveBayes.ModelType serializable, fixed getter method in NavieBayes
18f3219 [leahmcguire] removed private from naive bayes constructor for lambda only
bea62af [leahmcguire] put back in constructor for NaiveBayes
01baad7 [leahmcguire] made fixes from code review
fb0a5c7 [leahmcguire] removed typo
e2d925e [leahmcguire] fixed nonserializable error that was causing naivebayes test failures
2d0c1ba [leahmcguire] fixed typo in NaiveBayes
c298e78 [leahmcguire] fixed scala style errors
b85b0c9 [leahmcguire] Merge remote-tracking branch 'upstream/master'
900b586 [leahmcguire] fixed model call so that uses type argument
ea09b28 [leahmcguire] Merge remote-tracking branch 'upstream/master'
e016569 [leahmcguire] updated test suite with model type fix
85f298f [leahmcguire] Merge remote-tracking branch 'upstream/master'
dc65374 [leahmcguire] integrated model type fix
7622b0c [leahmcguire] added comments and fixed style as per rb
b93aaf6 [Leah McGuire] Merge pull request #1 from jkbradley/nb-model-type
3730572 [Joseph K. Bradley] modified NB model type to be more Java-friendly
b61b5e2 [leahmcguire] added back compatable constructor to NaiveBayesModel to fix MIMA test failure
5a4a534 [leahmcguire] fixed scala style error in NaiveBayes
3891bf2 [leahmcguire] synced with apache spark and resolved merge conflict
d9477ed [leahmcguire] removed old inaccurate comment from test suite for mllib naive bayes
76e5b0f [leahmcguire] removed unnecessary sort from test
0313c0c [leahmcguire] fixed style error in NaiveBayes.scala
4a3676d [leahmcguire] Updated changes re-comments. Got rid of verbose populateMatrix method. Public api now has string instead of enumeration. Docs are updated."
ce73c63 [leahmcguire] added Bernoulli option to niave bayes model in mllib, added optional model type parameter for training. When Bernoulli is given the Bernoulli smoothing is used for fitting and for prediction http://nlp.stanford.edu/IR-book/html/htmledition/the-bernoulli-model-1.html
Similar to `CreateArray`, we can add `CreateStruct` to create nested columns. marmbrus
Author: Xiangrui Meng <meng@databricks.com>
Closes#5195 from mengxr/SPARK-6542 and squashes the following commits:
3795c57 [Xiangrui Meng] update error message
ae7ac3e [Xiangrui Meng] move unit test to a separate suite
85dd559 [Xiangrui Meng] use NamedExpr
c78e31a [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-6542
85f3106 [Xiangrui Meng] add CreateStruct
JIRA: https://issues.apache.org/jira/browse/SPARK-6618
Author: Yin Huai <yhuai@databricks.com>
Closes#5281 from yhuai/lookupRelationLock and squashes the following commits:
591b4be [Yin Huai] A test?
b3a9625 [Yin Huai] Just protect client.
To maintain consistency with the Scala API.
Author: Reynold Xin <rxin@databricks.com>
Closes#5284 from rxin/df-na-alias and squashes the following commits:
19f46b7 [Reynold Xin] Show DataFrameNaFunctions in docs.
6618118 [Reynold Xin] [SPARK-6623][SQL] Alias DataFrame.na.drop and DataFrame.na.fill in Python.
Filters such as startsWith, endsWith, contains will be very useful for data sources that provide search functionality, e.g. Succinct, Elastic Search, Solr.
I also took this chance to improve documentation for the data source filters.
Author: Reynold Xin <rxin@databricks.com>
Closes#5285 from rxin/ds-string-filters and squashes the following commits:
f021727 [Reynold Xin] Fixed grammar.
7695a52 [Reynold Xin] [SPARK-6625][SQL] Add common string filters to data sources.
Hotfix for #4588
cc rxin
Author: zsxwing <zsxwing@gmail.com>
Closes#5283 from zsxwing/hotfix and squashes the following commits:
cf3e5a7 [zsxwing] Move StopCoordinator to the receive method since it does not require a reply
This pull request adds variants of DataFrame.na.drop and DataFrame.na.fill to the Scala/Java API, and DataFrame.fillna and DataFrame.dropna to the Python API.
Author: Reynold Xin <rxin@databricks.com>
Closes#5274 from rxin/df-missing-value and squashes the following commits:
4ee1b98 [Reynold Xin] Improve error reporting in Python.
33a330c [Reynold Xin] Remove replace for now.
bc4fdbb [Reynold Xin] Added documentation for replace.
d56f5a5 [Reynold Xin] Added replace for Scala/Java.
2385d00 [Reynold Xin] Feedback from Xiangrui on "how".
914a374 [Reynold Xin] fill with map.
185c67e [Reynold Xin] Allow specifying column subsets in fill.
749eb47 [Reynold Xin] fillna
249b94e [Reynold Xin] Removing undefined functions.
6a73c68 [Reynold Xin] Missing file.
67d7003 [Reynold Xin] [SPARK-6119][SQL] DataFrame.na.drop (Scala/Java) and DataFrame.dropna (Python)
This PR leverages the output commit coordinator introduced in #4066 to help committing Hive and Parquet tables.
This PR extracts output commit code in `SparkHadoopWriter.commit` to `SparkHadoopMapRedUtil.commitTask`, and reuses it for committing Parquet and Hive tables on executor side.
TODO
- [ ] Add tests
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Author: Cheng Lian <lian@databricks.com>
Closes#5139 from liancheng/spark-6369 and squashes the following commits:
72eb628 [Cheng Lian] Fixes typo in javadoc
9a4b82b [Cheng Lian] Adds javadoc and addresses @aarondav's comments
dfdf3ef [Cheng Lian] Uses commit coordinator to help committing Hive and Parquet tables
This PR create an alias for `registerFunction` as `udf.register`, to be consistent with Scala API.
It also deprecated inferSchema() and applySchema(), show an warning for them.
cc rxin
Author: Davies Liu <davies@databricks.com>
Closes#5273 from davies/udf and squashes the following commits:
476e947 [Davies Liu] address comments
c096fdb [Davies Liu] add SQLContext.udf and deprecate inferSchema() and applySchema
Currently there is a bug whereby if a new patch introduces more than one new dependency (or removes more than one) it breaks the Github post output (see [this build](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29399/consoleFull)). This hotfix will remove `awk` print statements in place of `printf` so as not to automatically add the newline character which is then escaped and added directly at the end of the `awk` statement. This should take a failed build output such as:
```json
data: {"body": " [Test build #29400 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29400/consoleFull) for PR 5266 at commit [`2aa4be0`](2aa4be0e1d).\n * This patch **passes all tests**.\n * This patch merges cleanly.\n * This patch adds the following public classes _(experimental)_:\n * `class IDF extends Estimator[IDFModel] with IDFParams `\n * `class Normalizer extends UnaryTransformer[Vector, Vector, Normalizer] `\n\n * This patch **adds the following new dependencies:**\n * `avro-1.7.7.jar`
* `breeze-macros_2.10-0.11.2.jar`
* `breeze_2.10-0.11.2.jar`\n * This patch **removes the following dependencies:**\n * `avro-1.7.6.jar`
* `breeze-macros_2.10-0.11.1.jar`
* `breeze_2.10-0.11.1.jar`"}
```
and turn it into:
```json
data: {"body": " [Test build #29400 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/29400/consoleFull) for PR 5266 at commit [`2aa4be0`](2aa4be0e1d).\n * This patch **passes all tests**.\n * This patch merges cleanly.\n * This patch adds the following public classes _(experimental)_:\n * `class IDF extends Estimator[IDFModel] with IDFParams `\n * `class Normalizer extends UnaryTransformer[Vector, Vector, Normalizer] `\n\n * This patch **adds the following new dependencies:**\n * `avro-1.7.7.jar`\n * `breeze-macros_2.10-0.11.2.jar`\n * `breeze_2.10-0.11.2.jar`\n * This patch **removes the following dependencies:**\n * `avro-1.7.6.jar`\n * `breeze-macros_2.10-0.11.1.jar`\n * `breeze_2.10-0.11.1.jar`"}
```
I've tested this locally and all worked.
/cc srowen pwendell nchammas
Author: Brennon York <brennon.york@capitalone.com>
Closes#5269 from brennonyork/HOTFIX-SPARK-4123 and squashes the following commits:
a441068 [Brennon York] Updated awk to use printf and to manually insert newlines so that the JSON github string when posted is corrected
https://issues.apache.org/jira/browse/SPARK-6592
The current impl in SparkBuild.scala filter all classes under catalyst directory, however, we have a corner case that Row class is a public API under that directory
we need to include Row into the scaladoc while still excluding other classes of catalyst project
Thanks for the help on this patch from rxin and liancheng
Author: CodingCat <zhunansjtu@gmail.com>
Closes#5252 from CodingCat/SPARK-6592 and squashes the following commits:
02098a4 [CodingCat] ignore collection, enable types (except those protected classes)
f7af2cb [CodingCat] commit
3ab4403 [CodingCat] fix filter for scaladoc to generate API doc for Row.scala under catalyst directory
Now that we have `DataFrame`s it is possible to have multiple copies in a single query plan. As such, it needs to inherit from `MultiInstanceRelation` or self joins will break. I also add better debugging errors when our self join handling fails in case there are future bugs.
Author: Michael Armbrust <michael@databricks.com>
Closes#5251 from marmbrus/multiMetaStore and squashes the following commits:
4272f6d [Michael Armbrust] [SPARK-6595][SQL] MetastoreRelation should be MuliInstanceRelation
wihtout this change the below error happens when I execute sbin/start-all.sh
localhost: /spark-1.3/sbin/start-slave.sh: line 32: unexpected EOF while looking for matching `"'
localhost: /spark-1.3/sbin/start-slave.sh: line 33: syntax error: unexpected end of file
my operating system is Linux Mint 17.1 Rebecca
Author: Jose Manuel Gomez <jmgomez@stratio.com>
Closes#5262 from josegom/patch-2 and squashes the following commits:
453af8b [Jose Manuel Gomez] Update start-slave.sh
2c456bd [Jose Manuel Gomez] Update start-slave.sh
I've updated the Spark Programming Guide to add a section on the shuffle operation providing some background on what it does. I've also addressed some of its performance impacts.
I've included documentation to address the following issues:
https://issues.apache.org/jira/browse/SPARK-5836https://issues.apache.org/jira/browse/SPARK-3441https://issues.apache.org/jira/browse/SPARK-5750https://issues.apache.org/jira/browse/SPARK-4227 is related but can be addressed in a separate PR since it involves updates to the Spark Configuration Guide.
Author: Ilya Ganelin <ilya.ganelin@capitalone.com>
Author: Ilya Ganelin <ilganeli@gmail.com>
Closes#5074 from ilganeli/SPARK-5750 and squashes the following commits:
6178e24 [Ilya Ganelin] Update programming-guide.md
7a0b96f [Ilya Ganelin] Update programming-guide.md
2c5df08 [Ilya Ganelin] Merge branch 'SPARK-5750' of github.com:ilganeli/spark into SPARK-5750
dffbd2d [Ilya Ganelin] [SPARK-5750] Slight wording update
1ff4eb4 [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5750
85f9c6e [Ilya Ganelin] Update programming-guide.md
349d1fa [Ilya Ganelin] Added cross linkf or configuration page
eeb5a7a [Ilya Ganelin] [SPARK-5750] Added some minor fixes
dd5cc9d [Ilya Ganelin] [SPARK-5750] Fixed some factual inaccuracies with regards to shuffle internals.
a8adb57 [Ilya Ganelin] [SPARK-5750] Incoporated feedback from Sean Owen
9954bbe [Ilya Ganelin] Merge remote-tracking branch 'upstream/master' into SPARK-5750
159dd1c [Ilya Ganelin] [SPARK-5750] Style fixes from rxin.
75ef67b [Ilya Ganelin] [SPARK-5750][SPARK-3441][SPARK-5836] Added documentation explaining the shuffle operation and included errata from a number of other JIRAs
In README.md under docs/ directory, it says that
> You can build just the Spark scaladoc by running build/sbt doc from the SPARK_PROJECT_ROOT directory.
I guess the right approach is build/sbt unidoc
Author: CodingCat <zhunansjtu@gmail.com>
Closes#5253 from CodingCat/SPARK-6596 and squashes the following commits:
af379ed [CodingCat] fix the instruction on building scaladoc
Currently if trying to register an RDD (or DataFrame in 1.3) as a table that has types that have no supported Schema representation (e.g. type "Any") - it would throw a match error. e.g. scala.MatchError: Any (of class scala.reflect.internal.Types$ClassNoArgsTypeRef)
This fix is just to have a nicer error message than a MatchError
Author: Eran Medan <ehrann.mehdan@gmail.com>
Closes#5235 from eranation/patch-2 and squashes the following commits:
af4b1a2 [Eran Medan] Line should be under 100 chars
0c69e9d [Eran Medan] Change from sys.error UnsupportedOperationException
524be86 [Eran Medan] better exception than scala.MatchError: Any
Error log before fixed
<code>15/03/29 10:07:25 ERROR YarnScheduler: Lost an executor 24 (already removed): Executor heartbeat timed out after ${now - lastSeenMs} ms</code>
Author: Li Zhihui <zhihui.li@intel.com>
Closes#5255 from li-zhihui/fixstringinterpolator and squashes the following commits:
c93f2b7 [Li Zhihui] Fix string interpolator error in HeartbeatReceiver
This PR added a standard internal RPC interface for Spark and an Akka implementation. See [the design document](https://issues.apache.org/jira/secure/attachment/12698710/Pluggable%20RPC%20-%20draft%202.pdf) for more details.
I will split the whole work into multiple PRs to make it easier for code review. This is the first PR and avoid to touch too many files.
Author: zsxwing <zsxwing@gmail.com>
Closes#4588 from zsxwing/rpc-part1 and squashes the following commits:
fe3df4c [zsxwing] Move registerEndpoint and use actorSystem.dispatcher in asyncSetupEndpointRefByURI
f6f3287 [zsxwing] Remove RpcEndpointRef.toURI
8bd1097 [zsxwing] Fix docs and the code style
f459380 [zsxwing] Add RpcAddress.fromURI and rename urls to uris
b221398 [zsxwing] Move send methods above ask methods
15cfd7b [zsxwing] Merge branch 'master' into rpc-part1
9ffa997 [zsxwing] Fix MiMa tests
78a1733 [zsxwing] Merge remote-tracking branch 'origin/master' into rpc-part1
385b9c3 [zsxwing] Fix the code style and add docs
2cc3f78 [zsxwing] Add an asynchronous version of setupEndpointRefByUrl
e8dfec3 [zsxwing] Remove 'sendWithReply(message: Any, sender: RpcEndpointRef): Unit'
08564ae [zsxwing] Add RpcEnvFactory to create RpcEnv
e5df4ca [zsxwing] Handle AkkaFailure(e) in Actor
ec7c5b0 [zsxwing] Fix docs
7fc95e1 [zsxwing] Implement askWithReply in RpcEndpointRef
9288406 [zsxwing] Document thread-safety for setupThreadSafeEndpoint
3007c09 [zsxwing] Move setupDriverEndpointRef to RpcUtils and rename to makeDriverRef
c425022 [zsxwing] Fix the code style
5f87700 [zsxwing] Move the logical of processing message to a private function
3e56123 [zsxwing] Use lazy to eliminate CountDownLatch
07f128f [zsxwing] Remove ActionScheduler.scala
4d34191 [zsxwing] Remove scheduler from RpcEnv
7cdd95e [zsxwing] Add docs for RpcEnv
51e6667 [zsxwing] Add 'sender' to RpcCallContext and rename the parameter of receiveAndReply to 'context'
ffc1280 [zsxwing] Rename 'fail' to 'sendFailure' and other minor code style changes
28e6d0f [zsxwing] Add onXXX for network events and remove the companion objects of network events
3751c97 [zsxwing] Rename RpcResponse to RpcCallContext
fe7d1ff [zsxwing] Add explicit reply in rpc
7b9e0c9 [zsxwing] Fix the indentation
04a106e [zsxwing] Remove NopCancellable and add a const NOP in object SettableCancellable
2a579f4 [zsxwing] Remove RpcEnv.systemName
155b987 [zsxwing] Change newURI to uriOf and add some comments
45b2317 [zsxwing] A standard RPC interface and An Akka implementation
Change FileServerSuite.test("HttpFileServer should not work with SSL when the server is untrusted") catch SSLException
Author: June.He <jun.hejun@huawei.com>
Closes#5239 from sisihj/SPARK-6585 and squashes the following commits:
cb19ae3 [June.He] Change FileServerSuite.test("HttpFileServer should not work with SSL when the server is untrusted") catch SSLException
Utils.getCurrentUserName returns UserGroupInformation.getCurrentUser().getUserName() when SPARK_USER isn't set. It should return UserGroupInformation.getCurrentUser().getShortUserName()
getUserName() returns the users full principal name (ie user1CORP.COM). getShortUserName() returns just the users login name (user1).
This just happens to work on YARN because the Client code sets:
env("SPARK_USER") = UserGroupInformation.getCurrentUser().getShortUserName()
Author: Thomas Graves <tgraves@apache.org>
Closes#5229 from tgravescs/SPARK-6558 and squashes the following commits:
24830bf [Thomas Graves] Utils.getCurrentUserName returns the full principal name instead of login name
Author: Nishkam Ravi <nravi@cloudera.com>
Author: nishkamravi2 <nishkamravi@gmail.com>
Author: nravi <nravi@c1704.halxg.cloudera.com>
Closes#5085 from nishkamravi2/master_nravi and squashes the following commits:
bad4349 [nishkamravi2] Update Main.java
36a6f87 [Nishkam Ravi] Minor changes and bug fixes
b7f4ae7 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
4a45d6a [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
458af39 [Nishkam Ravi] Locate the jar using getLocation, obviates the need to pass assembly path as an argument
d9658d6 [Nishkam Ravi] Changes for SPARK-6406
ccdc334 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
3faa7a4 [Nishkam Ravi] Launcher library changes (SPARK-6406)
345206a [Nishkam Ravi] spark-class merge Merge branch 'master_nravi' of https://github.com/nishkamravi2/spark into master_nravi
ac58975 [Nishkam Ravi] spark-class changes
06bfeb0 [nishkamravi2] Update spark-class
35af990 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
32c3ab3 [nishkamravi2] Update AbstractCommandBuilder.java
4bd4489 [nishkamravi2] Update AbstractCommandBuilder.java
746f35b [Nishkam Ravi] "hadoop" string in the assembly name should not be mandatory (everywhere else in spark we mandate spark-assembly*hadoop*.jar)
bfe96e0 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
ee902fa [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
d453197 [nishkamravi2] Update NewHadoopRDD.scala
6f41a1d [nishkamravi2] Update NewHadoopRDD.scala
0ce2c32 [nishkamravi2] Update HadoopRDD.scala
f7e33c2 [Nishkam Ravi] Merge branch 'master_nravi' of https://github.com/nishkamravi2/spark into master_nravi
ba1eb8b [Nishkam Ravi] Try-catch block around the two occurrences of removeShutDownHook. Deletion of semi-redundant occurrences of expensive operation inShutDown.
71d0e17 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
494d8c0 [nishkamravi2] Update DiskBlockManager.scala
3c5ddba [nishkamravi2] Update DiskBlockManager.scala
f0d12de [Nishkam Ravi] Workaround for IllegalStateException caused by recent changes to BlockManager.stop
79ea8b4 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
b446edc [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
5c9a4cb [nishkamravi2] Update TaskSetManagerSuite.scala
535295a [nishkamravi2] Update TaskSetManager.scala
3e1b616 [Nishkam Ravi] Modify test for maxResultSize
9f6583e [Nishkam Ravi] Changes to maxResultSize code (improve error message and add condition to check if maxResultSize > 0)
5f8f9ed [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
636a9ff [nishkamravi2] Update YarnAllocator.scala
8f76c8b [Nishkam Ravi] Doc change for yarn memory overhead
35daa64 [Nishkam Ravi] Slight change in the doc for yarn memory overhead
5ac2ec1 [Nishkam Ravi] Remove out
dac1047 [Nishkam Ravi] Additional documentation for yarn memory overhead issue
42c2c3d [Nishkam Ravi] Additional changes for yarn memory overhead issue
362da5e [Nishkam Ravi] Additional changes for yarn memory overhead
c726bd9 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
f00fa31 [Nishkam Ravi] Improving logging for AM memoryOverhead
1cf2d1e [nishkamravi2] Update YarnAllocator.scala
ebcde10 [Nishkam Ravi] Modify default YARN memory_overhead-- from an additive constant to a multiplier (redone to resolve merge conflicts)
2e69f11 [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark into master_nravi
efd688a [Nishkam Ravi] Merge branch 'master' of https://github.com/apache/spark
2b630f9 [nravi] Accept memory input as "30g", "512M" instead of an int value, to be consistent with rest of Spark
3bf8fad [nravi] Merge branch 'master' of https://github.com/apache/spark
5423a03 [nravi] Merge branch 'master' of https://github.com/apache/spark
eb663ca [nravi] Merge branch 'master' of https://github.com/apache/spark
df2aeb1 [nravi] Improved fix for ConcurrentModificationIssue (Spark-1097, Hadoop-10456)
6b840f0 [nravi] Undo the fix for SPARK-1758 (the problem is fixed)
5108700 [nravi] Fix in Spark for the Concurrent thread modification issue (SPARK-1097, HADOOP-10456)
681b36f [nravi] Fix for SPARK-1758: failing test org.apache.spark.JavaAPISuite.wholeTextFiles
Starting work on this, but need to find a way to ensure that, after doing a checkout from `apache/master`, we can successfully return to the current checkout. I believe that `git rev-parse HEAD` will get me what I want, but pushing this PR up to test what the Jenkins boxes are seeing.
Author: Brennon York <brennon.york@capitalone.com>
Closes#5093 from brennonyork/SPARK-4123 and squashes the following commits:
42e243e [Brennon York] moved starting test output to before pr tests, fixed indentation, changed mvn call to build/mvn
dadd941 [Brennon York] reverted assembly pom, put the regular test suite back in play
7aa1dee [Brennon York] set new dendencies into a <code> block, removed the bash debugging flag
0074566 [Brennon York] fixed minor echo issue with quotes
e229802 [Brennon York] updated to print the new dependency found
27bb9b5 [Brennon York] changed the assembly pom to test whether the pr test will pick up new deps
5375ad8 [Brennon York] git output to dev null
9bce980 [Brennon York] ensure both gate files exist
8f3c4b4 [Brennon York] updated to reflect the correct pushed in HEAD variable
2bc7b27 [Brennon York] added a pom gate check
a18db71 [Brennon York] full test of new deps script
ea170de [Brennon York] dont let mvn execute tests
f70d8cd [Brennon York] testing mvn with package
62ffd65 [Brennon York] updated dependency output message and changed compile to package given the jenkins failure output
04747e4 [Brennon York] adding simple mvn statement to see if command executes and prints compile output
87f9bea [Brennon York] added -x flag with bash to get insight into what is executing and what isnt
9e87208 [Brennon York] added set blocks to catch any non-zero exit codes and updated output
6b3042b [Brennon York] removed excess git checkout print statements
4077d46 [Brennon York] Merge remote-tracking branch 'upstream/master' into SPARK-4123
2bb5527 [Brennon York] added echo statement so jenkins logs which pr tests are running
d027f8f [Brennon York] proper piping of unnecessary stderr and stdout
6e2890d [Brennon York] updated test output newlines
d9f6f7f [Brennon York] removed echo
bad9a3a [Brennon York] added back the new deps test
e9e3ad1 [Brennon York] removed escapes for quotes
97e5cfb [Brennon York] commenting out new deps script
17379a5 [Brennon York] Merge remote-tracking branch 'upstream/master' into SPARK-4123
56f74a8 [Brennon York] updated the unop for ensuring a test is available
f2abc8c [Brennon York] removed the git checkout
6912584 [Brennon York] added this_mssg echo output
c610d42 [Brennon York] removed the error to dev/null
b98f78c [Brennon York] added the removed deps and echo output for jenkins testing
291a8fe [Brennon York] updated location of maven binary
126ce61 [Brennon York] removing new deps test to isolate why jenkins isn't posting messages
f8011d8 [Brennon York] minor updates and style changes
63a35c9 [Brennon York] updated new dependencies test
dae7ba8 [Brennon York] Capturing output directly from dependency builds
94d3547 [Brennon York] adding the new dependencies script into the test mix
2bca3c3 [Brennon York] added a git checkout 'git rev-parse HEAD' to the end of each pr test
ae83b90 [Brennon York] removed jenkins tests to grab some values from the jenkins box
4110993 [Brennon York] beginning work on pr test to add new dependencies
This fixes `predictAll` after load. jkbradley
Author: Xiangrui Meng <meng@databricks.com>
Closes#5243 from mengxr/SPARK-6571 and squashes the following commits:
82dcaa7 [Xiangrui Meng] use wrapper in MatrixFactorizationModel.load
https://issues.apache.org/jira/browse/SPARK-6552
/cc srowen
Author: WangTaoTheTonic <wangtao111@huawei.com>
Closes#5205 from WangTaoTheTonic/SPARK-6552 and squashes the following commits:
b02263c [WangTaoTheTonic] use less than rather than less equal
f0fa408 [WangTaoTheTonic] expose start-slave.sh
Opening to replace #5188.
When Spark SQL infers a schema for a DataFrame, it will take the union of all field types present in the structured source data (e.g. an RDD of JSON data). When the source data for a row doesn't define a particular field on the DataFrame's schema, a null value will simply be assumed for this field. This workflow makes it very easy to construct tables and query over a set of structured data with a nonuniform schema. However, this behavior is not consistent in some cases when dealing with Parquet files and an external table managed by an external Hive metastore.
In our particular usecase, we use Spark Streaming to parse and transform our input data and then apply a window function to save an arbitrary-sized batch of data as a Parquet file, which itself will be added as a partition to an external Hive table via an *"ALTER TABLE... ADD PARTITION..."* statement. Since our input data is nonuniform, it is expected that not every partition batch will contain every field present in the table's schema obtained from the Hive metastore. As such, we expect that the schema of some of our Parquet files may not contain the same set fields present in the full metastore schema.
In such cases, it seems natural that Spark SQL would simply assume null values for any missing fields in the partition's Parquet file, assuming these fields are specified as nullable by the metastore schema. This is not the case in the current implementation of ParquetRelation2. The **mergeMetastoreParquetSchema()** method used to reconcile differences between a Parquet file's schema and a schema retrieved from the Hive metastore will raise an exception if the Parquet file doesn't match the same set of fields specified by the metastore.
This pull requests alters the behavior of **mergeMetastoreParquetSchema()** by having it first add any nullable fields from the metastore schema to the Parquet file schema if they aren't already present there.
Author: Adam Budde <budde@amazon.com>
Closes#5214 from budde/nullable-fields and squashes the following commits:
a52d378 [Adam Budde] Refactor ParquetSchemaSuite.scala for cases now permitted by SPARK-6471 and SPARK-6538
9041bfa [Adam Budde] Add missing nullable Metastore fields when merging a Parquet schema
Author: Reynold Xin <rxin@databricks.com>
Closes#5226 from rxin/empty-df and squashes the following commits:
1306d88 [Reynold Xin] Proper fix.
e135bb9 [Reynold Xin] [SPARK-6564][SQL] SQLContext.emptyDataFrame should contain 0 rows, not 1 row.
See [SPARK-6526](https://issues.apache.org/jira/browse/SPARK-6526).
mengxr Should we add test suite for this transformer? There is no test suite for all feature transformers in ML package now.
Author: Xusen Yin <yinxusen@gmail.com>
Closes#5181 from yinxusen/SPARK-6526 and squashes the following commits:
6faa7bf [Xusen Yin] fix style
8a462da [Xusen Yin] remove duplications
ab35ab0 [Xusen Yin] add test suite
bc8cd0f [Xusen Yin] fix comment
79774c9 [Xusen Yin] add Normalizer transformer in ML package
Fix the import in sql example.
Author: Davies Liu <davies@databricks.com>
Closes#5230 from davies/fix_sql_example and squashes the following commits:
7ecc5f4 [Davies Liu] fix sql example
This is based on bug and test case proposed by viirya. See #5203 for a excellent description of the problem.
TLDR; The problem occurs because the function `groupBy(String)` calls `resolve`, which returns an `AttributeReference`. However, this `AttributeReference` is based on an analyzed plan which is thrown away. At execution time, we once again analyze the plan. However, in the case of self-joins, each call to analyze will produce a new tree for the left side of the join, rendering the previously returned `AttributeReference` invalid.
As a fix, I propose we keep the analyzed plan instead of the unresolved plan inside of a `DataFrame`.
Author: Michael Armbrust <michael@databricks.com>
Closes#5217 from marmbrus/preanalyzer and squashes the following commits:
1f98e2d [Michael Armbrust] revert change
dd4dec1 [Michael Armbrust] Use the analyzed plan in DataFrame
089c52e [Michael Armbrust] WIP
The current reading logic of `executorTimeoutMs` is:
```Scala
private val executorTimeoutMs = sc.conf.getLong("spark.network.timeout",
sc.conf.getLong("spark.storage.blockManagerSlaveTimeoutMs", 120)) * 1000
```
So if `spark.storage.blockManagerSlaveTimeoutMs` is 10000 and `spark.network.timeout` is not set, executorTimeoutMs will be 10000 * 1000. But the correct value should have been 10000.
`checkTimeoutIntervalMs` has the same issue.
This PR fixes them.
Author: zsxwing <zsxwing@gmail.com>
Closes#5209 from zsxwing/SPARK-6556 and squashes the following commits:
6a0a411 [zsxwing] Fix docs
c7d5422 [zsxwing] Add comments for executorTimeoutMs and checkTimeoutIntervalMs
ccd5147 [zsxwing] Fix wrong parsing logic of executorTimeoutMs and checkTimeoutIntervalMs in HeartbeatReceiver
There are any bugs of breeze's SparseVector at 0.11.1. You know, Spark 1.3 depends on breeze 0.11.1. So I think we should upgrade it to 0.11.2.
https://issues.apache.org/jira/browse/SPARK-6341
And thanks you for your great cooperation, David Hall(dlwh)
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes#5222 from yu-iskw/upgrade-breeze and squashes the following commits:
ad8a688 [Yu ISHIKAWA] Upgrade breeze from 0.11.1 to 0.11.2 because of a bug of SparseVector. Thanks you for your great cooperation, David Hall(@dlwh)
Kryo buffers are backed by byte arrays, but primitive arrays can only be
up to 2GB in size. It is misleading to allow users to set buffers past
this size.
Author: mcheah <mcheah@palantir.com>
Closes#5218 from mccheah/feature/limit-kryo-buffer and squashes the following commits:
1d6d1be [mcheah] Fixing numeric typo
e2e30ce [mcheah] Removing explicit int and double type to match style
09fd80b [mcheah] Should be >= not >. Slightly more consistent error message.
60634f9 [mcheah] [SPARK-6405] Limiting the maximum Kryo buffer size to be 2GB.
Adds a `Graph#minus` method which will return only unique `VertexId`'s from the calling `VertexRDD`.
To demonstrate a basic example with pseudocode:
```
Set((0L,0),(1L,1)).minus(Set((1L,1),(2L,2)))
> Set((0L,0))
```
Author: Brennon York <brennon.york@capitalone.com>
Closes#5175 from brennonyork/SPARK-6510 and squashes the following commits:
248d5c8 [Brennon York] added minus(VertexRDD[VD]) method to avoid createUsingIndex and updated the mask operations to simplify with andNot call
3fb7cce [Brennon York] updated graphx doc to reflect the addition of minus method
6575d92 [Brennon York] updated mima exclude
aaa030b [Brennon York] completed graph#minus functionality
7227c0f [Brennon York] beginning work on minus functionality
Author: Michael Armbrust <michael@databricks.com>
Closes#5192 from marmbrus/fixJDBCDocs and squashes the following commits:
b48a33d [Michael Armbrust] [DOCS][SQL] Fix JDBC example
There are two cases for the new Parquet data source:
1. Partition columns exist in the Parquet data files
We don't need to push-down these predicates since partition pruning already handles them.
1. Partition columns don't exist in the Parquet data files
We can't push-down these predicates since they are considered as invalid columns by Parquet.
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Author: Cheng Lian <lian@databricks.com>
Closes#5210 from liancheng/spark-6554 and squashes the following commits:
4f7ec03 [Cheng Lian] Adds comments
e134ced [Cheng Lian] Don't push down predicates which reference partition column(s)
1. Slightly modifications to the code to make it more readable.
2. Added Python implementation.
3. Updated the documentation to state that we don't guarantee the output schema for this function and it should only be used for exploratory data analysis.
Author: Reynold Xin <rxin@databricks.com>
Closes#5201 from rxin/df-describe and squashes the following commits:
25a7834 [Reynold Xin] Reset run-tests.
6abdfee [Reynold Xin] [SPARK-6117] [SQL] Improvements to DataFrame.describe()
Use standard UTF-8 source / report encoding for scalastyle
Author: Sean Owen <sowen@cloudera.com>
Closes#5211 from srowen/SPARK-6532 and squashes the following commits:
16a33e5 [Sean Owen] Use standard UTF-8 source / report encoding for scalastyle
Fix fastBucketFunction for histogram() to handle edge conditions more correctly. Add a test, and fix existing one accordingly
Author: Sean Owen <sowen@cloudera.com>
Closes#5148 from srowen/SPARK-6480 and squashes the following commits:
974a0a0 [Sean Owen] Additional test of huge ranges, and a few more comments (and comment fixes)
23ec01e [Sean Owen] Fix fastBucketFunction for histogram() to handle edge conditions more correctly. Add a test, and fix existing one accordingly
minor thing. Let me know if jira is required.
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes#5207 from hhbyyh/adjustImport and squashes the following commits:
2240121 [Yuhao Yang] remove unused import
Currently in the parquet relation 2 implementation, error is thrown in case merged schema is not exactly the same as metastore schema.
But to support cases like deletion of column using replace column command, we can relax the restriction so that even if metastore schema is a subset of merged parquet schema, the query will work.
Author: Yash Datta <Yash.Datta@guavus.com>
Closes#5141 from saucam/replace_col and squashes the following commits:
e858d5b [Yash Datta] SPARK-6471: Fix test cases, add a new test case for metastore schema to be subset of parquet schema
5f2f467 [Yash Datta] SPARK-6471: Metastore schema should only be a subset of parquet schema to support dropping of columns using replace columns
There are two race conditions of `subDirs` in `DiskBlockManager`:
1. `getAllFiles` does not use correct locks to read the contents in `subDirs`. Although it's designed for testing, it's still worth to add correct locks to eliminate the race condition.
2. The double-check has a race condition in `getFile(filename: String)`. If a thread finds `subDirs(dirId)(subDirId)` is not null out of the `synchronized` block, it may not be able to see the correct content of the File instance pointed by `subDirs(dirId)(subDirId)` according to the Java memory model (there is no volatile variable here).
This PR fixed the above race conditions.
Author: zsxwing <zsxwing@gmail.com>
Closes#5136 from zsxwing/SPARK-6468 and squashes the following commits:
cbb872b [zsxwing] Fix the race condition of subDirs in DiskBlockManager
