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* [SPARK-13948] MiMa check should catch if the visibility changes to privateJosh Rosen2016-03-161-10/+14
| | | | | | | | | | MiMa excludes are currently generated using both the current Spark version's classes and Spark 1.2.0's classes, but this doesn't make sense: we should only be ignoring classes which were `private` in the previous Spark version, not classes which became private in the current version. This patch updates `dev/mima` to only generate excludes with respect to the previous artifacts that MiMa checks against. It also updates `MimaBuild` so that `excludeClass` only applies directly to the class being excluded and not to its companion object (since a class and its companion object can have different accessibility). Author: Josh Rosen <joshrosen@databricks.com> Closes #11774 from JoshRosen/SPARK-13948.
* [SPARK-13576][BUILD] Don't create assembly for examples.Marcelo Vanzin2016-03-151-3/+38
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | As part of the goal to stop creating assemblies in Spark, this change modifies the mvn and sbt builds to not create an assembly for examples. Instead, dependencies are copied to the build directory (under target/scala-xx/jars), and in the final archive, into the "examples/jars" directory. To avoid having to deal too much with Windows batch files, I made examples run through the launcher library; the spark-submit launcher now has a special mode to run examples, which adds all the necessary jars to the spark-submit command line, and replaces the bash and batch scripts that were used to run examples. The scripts are now just a thin wrapper around spark-submit; another advantage is that now all spark-submit options are supported. There are a few glitches; in the mvn build, a lot of duplicated dependencies get copied, because they are promoted to "compile" scope due to extra dependencies in the examples module (such as HBase). In the sbt build, all dependencies are copied, because there doesn't seem to be an easy way to filter things. I plan to clean some of this up when the rest of the tasks are finished. When the main assembly is replaced with jars, we can remove duplicate jars from the examples directory during packaging. Tested by running SparkPi in: maven build, sbt build, dist created by make-distribution.sh. Finally: note that running the "assembly" target in sbt doesn't build the examples anymore. You need to run "package" for that. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #11452 from vanzin/SPARK-13576.
* [SPARK-13843][STREAMING] Remove streaming-flume, streaming-mqtt, ↵Shixiong Zhu2016-03-141-28/+9
| | | | | | | | | | | | | | | | | | | | | | | | | | streaming-zeromq, streaming-akka, streaming-twitter to Spark packages ## What changes were proposed in this pull request? Currently there are a few sub-projects, each for integrating with different external sources for Streaming. Now that we have better ability to include external libraries (spark packages) and with Spark 2.0 coming up, we can move the following projects out of Spark to https://github.com/spark-packages - streaming-flume - streaming-akka - streaming-mqtt - streaming-zeromq - streaming-twitter They are just some ancillary packages and considering the overhead of maintenance, running tests and PR failures, it's better to maintain them out of Spark. In addition, these projects can have their different release cycles and we can release them faster. I have already copied these projects to https://github.com/spark-packages ## How was this patch tested? Jenkins tests Author: Shixiong Zhu <shixiong@databricks.com> Closes #11672 from zsxwing/remove-external-pkg.
* [SPARK-13834][BUILD] Update sbt and sbt plugins for 2.x.Dongjoon Hyun2016-03-131-3/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? For 2.0.0, we had better make **sbt** and **sbt plugins** up-to-date. This PR checks the status of each plugins and bumps the followings. * sbt: 0.13.9 --> 0.13.11 * sbteclipse-plugin: 2.2.0 --> 4.0.0 * sbt-dependency-graph: 0.7.4 --> 0.8.2 * sbt-mima-plugin: 0.1.6 --> 0.1.9 * sbt-revolver: 0.7.2 --> 0.8.0 All other plugins are up-to-date. (Note that `sbt-avro` seems to be change from 0.3.2 to 1.0.1, but it's not published in the repository.) During upgrade, this PR also updated the following MiMa error. Note that the related excluding filter is already registered correctly. It seems due to the change of MiMa exception result. ``` // SPARK-12896 Send only accumulator updates to driver, not TaskMetrics ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.Accumulable.this"), -ProblemFilters.exclude[IncompatibleMethTypeProblem]("org.apache.spark.Accumulator.this"), +ProblemFilters.exclude[DirectMissingMethodProblem]("org.apache.spark.Accumulator.this"), ``` ## How was this patch tested? Pass the Jenkins build. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #11669 from dongjoon-hyun/update_mima.
* [SPARK-13294][PROJECT INFRA] Remove MiMa's dependency on spark-class / Spark ↵Josh Rosen2016-03-101-9/+10
| | | | | | | | | | | | | | | assembly This patch removes the need to build a full Spark assembly before running the `dev/mima` script. - I modified the `tools` project to remove a direct dependency on Spark, so `sbt/sbt tools/fullClasspath` will now return the classpath for the `GenerateMIMAIgnore` class itself plus its own dependencies. - This required me to delete two classes full of dead code that we don't use anymore - `GenerateMIMAIgnore` now uses [ClassUtil](http://software.clapper.org/classutil/) to find all of the Spark classes rather than our homemade JAR traversal code. The problem in our own code was that it didn't handle folders of classes properly, which is necessary in order to generate excludes with an assembly-free Spark build. - `./dev/mima` no longer runs through `spark-class`, eliminating the need to reason about classpath ordering between `SPARK_CLASSPATH` and the assembly. Author: Josh Rosen <joshrosen@databricks.com> Closes #11178 from JoshRosen/remove-assembly-in-run-tests.
* [MINOR] Fix typos in comments and testcase name of codeDongjoon Hyun2016-03-031-1/+1
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? This PR fixes typos in comments and testcase name of code. ## How was this patch tested? manual. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #11481 from dongjoon-hyun/minor_fix_typos_in_code.
* [SPARK-13109][BUILD] Fix SBT publishLocal issuejerryshao2016-02-171-1/+2
| | | | | | | | | | Add local ivy repo to the SBT build file to fix this. Scaladoc compile error is fixed. Author: jerryshao <sshao@hortonworks.com> Closes #11001 from jerryshao/SPARK-13109.
* [SPARK-13278][CORE] Launcher fails to start with JDK 9 EAClaes Redestad2016-02-141-2/+4
| | | | | | | | See http://openjdk.java.net/jeps/223 for more information about the JDK 9 version string scheme. Author: Claes Redestad <claes.redestad@gmail.com> Closes #11160 from cl4es/master.
* [SPARK-13277][BUILD] Follow-up ANTLR warnings are treated as build errorsHerman van Hovell2016-02-111-3/+6
| | | | | | | | | | It is possible to create faulty but legal ANTLR grammars. ANTLR will produce warnings but also a valid compileable parser. This PR makes sure we treat such warnings as build errors. cc rxin / viirya Author: Herman van Hovell <hvanhovell@questtec.nl> Closes #11174 from hvanhovell/ANTLR-warnings-as-errors.
* [SPARK-6363][BUILD] Make Scala 2.11 the default Scala versionJosh Rosen2016-01-301-6/+6
| | | | | | | | | | | | This patch changes Spark's build to make Scala 2.11 the default Scala version. To be clear, this does not mean that Spark will stop supporting Scala 2.10: users will still be able to compile Spark for Scala 2.10 by following the instructions on the "Building Spark" page; however, it does mean that Scala 2.11 will be the default Scala version used by our CI builds (including pull request builds). The Scala 2.11 compiler is faster than 2.10, so I think we'll be able to look forward to a slight speedup in our CI builds (it looks like it's about 2X faster for the Maven compile-only builds, for instance). After this patch is merged, I'll update Jenkins to add new compile-only jobs to ensure that Scala 2.10 compilation doesn't break. Author: Josh Rosen <joshrosen@databricks.com> Closes #10608 from JoshRosen/SPARK-6363.
* [SPARK-12933][SQL] Initial implementation of Count-Min sketchCheng Lian2016-01-231-12/+27
| | | | | | | | | | | | | | | | | | | This PR adds an initial implementation of count min sketch, contained in a new module spark-sketch under `common/sketch`. The implementation is based on the [`CountMinSketch` class in stream-lib][1]. As required by the [design doc][2], spark-sketch should have no external dependency. Two classes, `Murmur3_x86_32` and `Platform` are copied to spark-sketch from spark-unsafe for hashing facilities. They'll also be used in the upcoming bloom filter implementation. The following features will be added in future follow-up PRs: - Serialization support - DataFrame API integration [1]: https://github.com/addthis/stream-lib/blob/aac6b4d23a8686b000f80baa447e0922ecac3bcb/src/main/java/com/clearspring/analytics/stream/frequency/CountMinSketch.java [2]: https://issues.apache.org/jira/secure/attachment/12782378/BloomFilterandCount-MinSketchinSpark2.0.pdf Author: Cheng Lian <lian@databricks.com> Closes #10851 from liancheng/count-min-sketch.
* [SPARK-7799][SPARK-12786][STREAMING] Add "streaming-akka" projectShixiong Zhu2016-01-201-4/+5
| | | | | | | | | | | | | Include the following changes: 1. Add "streaming-akka" project and org.apache.spark.streaming.akka.AkkaUtils for creating an actorStream 2. Remove "StreamingContext.actorStream" and "JavaStreamingContext.actorStream" 3. Update the ActorWordCount example and add the JavaActorWordCount example 4. Make "streaming-zeromq" depend on "streaming-akka" and update the codes accordingly Author: Shixiong Zhu <shixiong@databricks.com> Closes #10744 from zsxwing/streaming-akka-2.
* [BUILD] Runner for spark packagesMichael Armbrust2016-01-191-0/+15
| | | | | | | | | | | | | | This is a convenience method added to the SBT build for developers, though if people think its useful we could consider adding a official script that runs using the assembly instead of compiling on demand. It simply compiles spark (without requiring an assembly), and invokes Spark Submit to download / run the package. Example Usage: ``` $ build/sbt > sparkPackage com.databricks:spark-sql-perf_2.10:0.2.4 com.databricks.spark.sql.perf.RunBenchmark --help ``` Author: Michael Armbrust <michael@databricks.com> Closes #10834 from marmbrus/sparkPackageRunner.
* [SPARK-4628][BUILD] Remove all non-Maven-Central repositories from buildJosh Rosen2016-01-081-1/+6
| | | | | | | | | | | | | | | | | | | | | | This patch removes all non-Maven-central repositories from Spark's build, thereby avoiding any risk of future build-breaks due to us accidentally depending on an artifact which is not present in an immutable public Maven repository. I tested this by running ``` build/mvn \ -Phive \ -Phive-thriftserver \ -Pkinesis-asl \ -Pspark-ganglia-lgpl \ -Pyarn \ dependency:go-offline ``` inside of a fresh Ubuntu Docker container with no Ivy or Maven caches (I did a similar test for SBT). Author: Josh Rosen <joshrosen@databricks.com> Closes #10659 from JoshRosen/SPARK-4628.
* [SPARK-12573][SPARK-12574][SQL] Move SQL Parser from Hive to CatalystHerman van Hovell2016-01-061-48/+56
| | | | | | | | | | | | | | | | | This PR moves a major part of the new SQL parser to Catalyst. This is a prelude to start using this parser for all of our SQL parsing. The following key changes have been made: The ANTLR Parser & Supporting classes have been moved to the Catalyst project. They are now part of the ```org.apache.spark.sql.catalyst.parser``` package. These classes contained quite a bit of code that was originally from the Hive project, I have added aknowledgements whenever this applied. All Hive dependencies have been factored out. I have also taken this chance to clean-up the ```ASTNode``` class, and to improve the error handling. The HiveQl object that provides the functionality to convert an AST into a LogicalPlan has been refactored into three different classes, one for every SQL sub-project: - ```CatalystQl```: This implements Query and Expression parsing functionality. - ```SparkQl```: This is a subclass of CatalystQL and provides SQL/Core only functionality such as Explain and Describe. - ```HiveQl```: This is a subclass of ```SparkQl``` and this adds Hive-only functionality to the parser such as Analyze, Drop, Views, CTAS & Transforms. This class still depends on Hive. cc rxin Author: Herman van Hovell <hvanhovell@questtec.nl> Closes #10583 from hvanhovell/SPARK-12575.
* [SPARK-12643][BUILD] Set lib directory for antlrLiang-Chi Hsieh2016-01-051-0/+4
| | | | | | | | | | | | JIRA: https://issues.apache.org/jira/browse/SPARK-12643 Without setting lib directory for antlr, the updates of imported grammar files can not be detected. So SparkSqlParser.g will not be rebuilt automatically. Since it is a minor update, no JIRA ticket is opened. Let me know if it is needed. Thanks. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #10571 from viirya/antlr-build.
* [SPARK-12362][SQL][WIP] Inline Hive ParserHerman van Hovell2016-01-011-2/+44
| | | | | | | | | | | | | | This PR inlines the Hive SQL parser in Spark SQL. The previous (merged) incarnation of this PR passed all tests, but had and still has problems with the build. These problems are caused by a the fact that - for some reason - in some cases the ANTLR generated code is not included in the compilation fase. This PR is a WIP and should not be merged until we have sorted out the build issues. Author: Herman van Hovell <hvanhovell@questtec.nl> Author: Nong Li <nong@databricks.com> Author: Nong Li <nongli@gmail.com> Closes #10525 from hvanhovell/SPARK-12362.
* Revert "[SPARK-12362][SQL][WIP] Inline Hive Parser"Reynold Xin2015-12-301-1/+1
| | | | This reverts commit b600bccf41a7b1958e33d8301a19214e6517e388 due to non-deterministic build breaks.
* [SPARK-12362][SQL][WIP] Inline Hive ParserNong Li2015-12-291-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | This is a WIP. The PR has been taken over from nongli (see https://github.com/apache/spark/pull/10420). I have removed some additional dead code, and fixed a few issues which were caused by the fact that the inlined Hive parser is newer than the Hive parser we currently use in Spark. I am submitting this PR in order to get some feedback and testing done. There is quite a bit of work to do: - [ ] Get it to pass jenkins build/test. - [ ] Aknowledge Hive-project for using their parser. - [ ] Refactorings between HiveQl and the java classes. - [ ] Create our own ASTNode and integrate the current implicit extentions. - [ ] Move remaining ```SemanticAnalyzer``` and ```ParseUtils``` functionality to ```HiveQl```. - [ ] Removing Hive dependencies from the parser. This will require some edits in the grammar files. - [ ] Introduce our own context which needs to contain a ```TokenRewriteStream```. - [ ] Add ```useSQL11ReservedKeywordsForIdentifier``` and ```allowQuotedId``` to the catalyst or sql configuration. - [ ] Remove ```HiveConf``` from grammar files &HiveQl, and pass in our own configuration. - [ ] Moving the parser into sql/core. cc nongli rxin Author: Herman van Hovell <hvanhovell@questtec.nl> Author: Nong Li <nong@databricks.com> Author: Nong Li <nongli@gmail.com> Closes #10509 from hvanhovell/SPARK-12362.
* [SPARK-11808] Remove Bagel.Reynold Xin2015-12-191-4/+4
| | | | | | Author: Reynold Xin <rxin@databricks.com> Closes #10395 from rxin/SPARK-11808.
* [SPARK-12046][DOC] Fixes various ScalaDoc/JavaDoc issuesCheng Lian2015-12-011-0/+2
| | | | | | | | This PR backports PR #10039 to master Author: Cheng Lian <lian@databricks.com> Closes #10063 from liancheng/spark-12046.doc-fix.master.
* [SPARK-12000] Fix API doc generation issuesJosh Rosen2015-11-301-3/+8
| | | | | | | | | | | | | | | This pull request fixes multiple issues with API doc generation. - Modify the Jekyll plugin so that the entire doc build fails if API docs cannot be generated. This will make it easy to detect when the doc build breaks, since this will now trigger Jenkins failures. - Change how we handle the `-target` compiler option flag in order to fix `javadoc` generation. - Incorporate doc changes from thunterdb (in #10048). Closes #10048. Author: Josh Rosen <joshrosen@databricks.com> Author: Timothy Hunter <timhunter@databricks.com> Closes #10049 from JoshRosen/fix-doc-build.
* [SPARK-4424] Remove spark.driver.allowMultipleContexts override in testsJosh Rosen2015-11-231-1/+0
| | | | | | | | This patch removes `spark.driver.allowMultipleContexts=true` from our test configuration. The multiple SparkContexts check was originally disabled because certain tests suites in SQL needed to create multiple contexts. As far as I know, this configuration change is no longer necessary, so we should remove it in order to make it easier to find test cleanup bugs. Author: Josh Rosen <joshrosen@databricks.com> Closes #9865 from JoshRosen/SPARK-4424.
* [BUILD][MINOR] Remove non-exist yarnStable module in Sbt projectjerryshao2015-11-121-4/+2
| | | | | | | | Remove some old yarn related building codes, please review, thanks a lot. Author: jerryshao <sshao@hortonworks.com> Closes #9625 from jerryshao/remove-old-module.
* [SPARK-6152] Use shaded ASM5 to support closure cleaning of Java 8 compiled ↵Josh Rosen2015-11-111-2/+24
| | | | | | | | | | | | | | | | classes This patch modifies Spark's closure cleaner (and a few other places) to use ASM 5, which is necessary in order to support cleaning of closures that were compiled by Java 8. In order to avoid ASM dependency conflicts, Spark excludes ASM from all of its dependencies and uses a shaded version of ASM 4 that comes from `reflectasm` (see [SPARK-782](https://issues.apache.org/jira/browse/SPARK-782) and #232). This patch updates Spark to use a shaded version of ASM 5.0.4 that was published by the Apache XBean project; the POM used to create the shaded artifact can be found at https://github.com/apache/geronimo-xbean/blob/xbean-4.4/xbean-asm5-shaded/pom.xml. http://movingfulcrum.tumblr.com/post/80826553604/asm-framework-50-the-missing-migration-guide was a useful resource while upgrading the code to use the new ASM5 opcodes. I also added a new regression tests in the `java8-tests` subproject; the existing tests were insufficient to catch this bug, which only affected Scala 2.11 user code which was compiled targeting Java 8. Author: Josh Rosen <joshrosen@databricks.com> Closes #9512 from JoshRosen/SPARK-6152.
* [SPARK-9818] Re-enable Docker tests for JDBC data sourceJosh Rosen2015-11-101-2/+12
| | | | | | | | | | | | | This patch re-enables tests for the Docker JDBC data source. These tests were reverted in #4872 due to transitive dependency conflicts introduced by the `docker-client` library. This patch should avoid those problems by using a version of `docker-client` which shades its transitive dependencies and by performing some build-magic to work around problems with that shaded JAR. In addition, I significantly refactored the tests to simplify the setup and teardown code and to fix several Docker networking issues which caused problems when running in `boot2docker`. Closes #8101. Author: Josh Rosen <joshrosen@databricks.com> Author: Yijie Shen <henry.yijieshen@gmail.com> Closes #9503 from JoshRosen/docker-jdbc-tests.
* [SPARK-7841][BUILD] Stop using retrieveManaged to retrieve dependencies in SBTJosh Rosen2015-11-101-5/+17
| | | | | | | | | | | | | | This patch modifies Spark's SBT build so that it no longer uses `retrieveManaged` / `lib_managed` to store its dependencies. The motivations for this change are nicely described on the JIRA ticket ([SPARK-7841](https://issues.apache.org/jira/browse/SPARK-7841)); my personal interest in doing this stems from the fact that `lib_managed` has caused me some pain while debugging dependency issues in another PR of mine. Removing our use of `lib_managed` would be trivial except for one snag: the Datanucleus JARs, required by Spark SQL's Hive integration, cannot be included in assembly JARs due to problems with merging OSGI `plugin.xml` files. As a result, several places in the packaging and deployment pipeline assume that these Datanucleus JARs are copied to `lib_managed/jars`. In the interest of maintaining compatibility, I have chosen to retain the `lib_managed/jars` directory _only_ for these Datanucleus JARs and have added custom code to `SparkBuild.scala` to automatically copy those JARs to that folder as part of the `assembly` task. `dev/mima` also depended on `lib_managed` in a hacky way in order to set classpaths when generating MiMa excludes; I've updated this to obtain the classpaths directly from SBT instead. /cc dragos marmbrus pwendell srowen Author: Josh Rosen <joshrosen@databricks.com> Closes #9575 from JoshRosen/SPARK-7841.
* [SPARK-11538][BUILD] Force guava 14 in sbt build.Marcelo Vanzin2015-11-051-1/+10
| | | | | | | | | sbt's version resolution code always picks the most recent version, and we don't want that for guava. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #9508 from vanzin/SPARK-11538.
* [SPARK-11491] Update build to use Scala 2.10.5Josh Rosen2015-11-041-1/+1
| | | | | | | | Spark should build against Scala 2.10.5, since that includes a fix for Scaladoc that will fix doc snapshot publishing: https://issues.scala-lang.org/browse/SI-8479 Author: Josh Rosen <joshrosen@databricks.com> Closes #9450 from JoshRosen/upgrade-to-scala-2.10.5.
* [SPARK-11122] [BUILD] [WARN] Add tag to fatal warningsJakob Odersky2015-10-161-2/+9
| | | | | | | | Shows that an error is actually due to a fatal warning. Author: Jakob Odersky <jodersky@gmail.com> Closes #9128 from jodersky/fatalwarnings.
* [SPARK-11092] [DOCS] Add source links to scaladoc generationJakob Odersky2015-10-161-2/+19
| | | | | | | | Modify the SBT build script to include GitHub source links for generated Scaladocs, on releases only (no snapshots). Author: Jakob Odersky <jodersky@gmail.com> Closes #9110 from jodersky/unidoc.
* [SPARK-10300] [BUILD] [TESTS] Add support for test tags in run-tests.py.Marcelo Vanzin2015-10-071-5/+14
| | | | | | Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #8775 from vanzin/SPARK-10300.
* Revert "[SPARK-10300] [BUILD] [TESTS] Add support for test tags in ↵Marcelo Vanzin2015-09-151-11/+2
| | | | | | run-tests.py." This reverts commit 8abef21dac1a6538c4e4e0140323b83d804d602b.
* [SPARK-10300] [BUILD] [TESTS] Add support for test tags in run-tests.py.Marcelo Vanzin2015-09-151-2/+11
| | | | | | | | | | | | | | | This change does two things: - tag a few tests and adds the mechanism in the build to be able to disable those tags, both in maven and sbt, for both junit and scalatest suites. - add some logic to run-tests.py to disable some tags depending on what files have changed; that's used to disable expensive tests when a module hasn't explicitly been changed, to speed up testing for changes that don't directly affect those modules. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #8437 from vanzin/test-tags.
* [SPARK-9284] [TESTS] Allow all tests to run without an assembly.Marcelo Vanzin2015-08-281-0/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | This change aims at speeding up the dev cycle a little bit, by making sure that all tests behave the same w.r.t. where the code to be tested is loaded from. Namely, that means that tests don't rely on the assembly anymore, rather loading all needed classes from the build directories. The main change is to make sure all build directories (classes and test-classes) are added to the classpath of child processes when running tests. YarnClusterSuite required some custom code since the executors are run differently (i.e. not through the launcher library, like standalone and Mesos do). I also found a couple of tests that could leak a SparkContext on failure, and added code to handle those. With this patch, it's possible to run the following command from a clean source directory and have all tests pass: mvn -Pyarn -Phadoop-2.4 -Phive-thriftserver install Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #7629 from vanzin/SPARK-9284.
* [SPARK-9613] [CORE] Ban use of JavaConversions and migrate all existing uses ↵Sean Owen2015-08-251-4/+4
| | | | | | | | | | | | to JavaConverters Replace `JavaConversions` implicits with `JavaConverters` Most occurrences I've seen so far are necessary conversions; a few have been avoidable. None are in critical code as far as I see, yet. Author: Sean Owen <sowen@cloudera.com> Closes #8033 from srowen/SPARK-9613.
* [SPARK-9580] [SQL] Replace singletons in SQL testsAndrew Or2015-08-131-5/+11
| | | | | | | | | | | | | | A fundamental limitation of the existing SQL tests is that *there is simply no way to create your own `SparkContext`*. This is a serious limitation because the user may wish to use a different master or config. As a case in point, `BroadcastJoinSuite` is entirely commented out because there is no way to make it pass with the existing infrastructure. This patch removes the singletons `TestSQLContext` and `TestData`, and instead introduces a `SharedSQLContext` that starts a context per suite. Unfortunately the singletons were so ingrained in the SQL tests that this patch necessarily needed to touch *all* the SQL test files. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/8111) <!-- Reviewable:end --> Author: Andrew Or <andrew@databricks.com> Closes #8111 from andrewor14/sql-tests-refactor.
* [SPARK-9649] Fix flaky test MasterSuite again - disable RESTAndrew Or2015-08-111-0/+1
| | | | | | | | The REST server is not actually used in most tests and so we can disable it. It is a source of flakiness because it tries to bind to a specific port in vain. There was also some code that avoided the shuffle service in tests. This is actually not necessary because the shuffle service is already off by default. Author: Andrew Or <andrew@databricks.com> Closes #8084 from andrewor14/fix-master-suite-again.
* [SPARK-9727] [STREAMING] [BUILD] Updated streaming kinesis SBT project name ↵Tathagata Das2015-08-111-2/+2
| | | | | | | | | | to be more consistent Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #8092 from tdas/SPARK-9727 and squashes the following commits: b1b01fd [Tathagata Das] Updated streaming kinesis project name
* [SPARK-5155] [PYSPARK] [STREAMING] Mqtt streaming support in PythonPrabeesh K2015-08-101-3/+9
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR is based on #4229, thanks prabeesh. Closes #4229 Author: Prabeesh K <prabsmails@gmail.com> Author: zsxwing <zsxwing@gmail.com> Author: prabs <prabsmails@gmail.com> Author: Prabeesh K <prabeesh.k@namshi.com> Closes #7833 from zsxwing/pr4229 and squashes the following commits: 9570bec [zsxwing] Fix the variable name and check null in finally 4a9c79e [zsxwing] Fix pom.xml indentation abf5f18 [zsxwing] Merge branch 'master' into pr4229 935615c [zsxwing] Fix the flaky MQTT tests 47278c5 [zsxwing] Include the project class files 478f844 [zsxwing] Add unpack 5f8a1d4 [zsxwing] Make the maven build generate the test jar for Python MQTT tests 734db99 [zsxwing] Merge branch 'master' into pr4229 126608a [Prabeesh K] address the comments b90b709 [Prabeesh K] Merge pull request #1 from zsxwing/pr4229 d07f454 [zsxwing] Register StreamingListerner before starting StreamingContext; Revert unncessary changes; fix the python unit test a6747cb [Prabeesh K] wait for starting the receiver before publishing data 87fc677 [Prabeesh K] address the comments: 97244ec [zsxwing] Make sbt build the assembly test jar for streaming mqtt 80474d1 [Prabeesh K] fix 1f0cfe9 [Prabeesh K] python style fix e1ee016 [Prabeesh K] scala style fix a5a8f9f [Prabeesh K] added Python test 9767d82 [Prabeesh K] implemented Python-friendly class a11968b [Prabeesh K] fixed python style 795ec27 [Prabeesh K] address comments ee387ae [Prabeesh K] Fix assembly jar location of mqtt-assembly 3f4df12 [Prabeesh K] updated version b34c3c1 [prabs] adress comments 3aa7fff [prabs] Added Python streaming mqtt word count example b7d42ff [prabs] Mqtt streaming support in Python
* [SPARK-8564] [STREAMING] Add the Python API for Kinesiszsxwing2015-07-311-3/+3
| | | | | | | | | | | | | | | | | | | | | | | | | This PR adds the Python API for Kinesis, including a Python example and a simple unit test. Author: zsxwing <zsxwing@gmail.com> Closes #6955 from zsxwing/kinesis-python and squashes the following commits: e42e471 [zsxwing] Merge branch 'master' into kinesis-python 455f7ea [zsxwing] Remove streaming_kinesis_asl_assembly module and simply add the source folder to streaming_kinesis_asl module 32e6451 [zsxwing] Merge remote-tracking branch 'origin/master' into kinesis-python 5082d28 [zsxwing] Fix the syntax error for Python 2.6 fca416b [zsxwing] Fix wrong comparison 96670ff [zsxwing] Fix the compilation error after merging master 756a128 [zsxwing] Merge branch 'master' into kinesis-python 6c37395 [zsxwing] Print stack trace for debug 7c5cfb0 [zsxwing] RUN_KINESIS_TESTS -> ENABLE_KINESIS_TESTS cc9d071 [zsxwing] Fix the python test errors 466b425 [zsxwing] Add python tests for Kinesis e33d505 [zsxwing] Merge remote-tracking branch 'origin/master' into kinesis-python 3da2601 [zsxwing] Fix the kinesis folder 687446b [zsxwing] Fix the error message and the maven output path add2beb [zsxwing] Merge branch 'master' into kinesis-python 4957c0b [zsxwing] Add the Python API for Kinesis
* [build] Enable memory leak detection for Tungsten.Reynold Xin2015-07-241-1/+1
| | | | | | | | | | This was turned off accidentally in #7591. Author: Reynold Xin <rxin@databricks.com> Closes #7637 from rxin/enable-mem-leak-detect and squashes the following commits: 34bc3ef [Reynold Xin] Enable memory leak detection for Tungsten.
* Revert "[SPARK-8579] [SQL] support arbitrary object in UnsafeRow"Reynold Xin2015-07-231-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | Reverts ObjectPool. As it stands, it has a few problems: 1. ObjectPool doesn't work with spilling and memory accounting. 2. I don't think in the long run the idea of an object pool is what we want to support, since it essentially goes back to unmanaged memory, and creates pressure on GC, and is hard to account for the total in memory size. 3. The ObjectPool patch removed the specialized getters for strings and binary, and as a result, actually introduced branches when reading non primitive data types. If we do want to support arbitrary user defined types in the future, I think we can just add an object array in UnsafeRow, rather than relying on indirect memory addressing through a pool. We also need to pick execution strategies that are optimized for those, rather than keeping a lot of unserialized JVM objects in memory during aggregation. This is probably the hardest thing I had to revert in Spark, due to recent patches that also change the same part of the code. Would be great to get a careful look. Author: Reynold Xin <rxin@databricks.com> Closes #7591 from rxin/revert-object-pool and squashes the following commits: 01db0bc [Reynold Xin] Scala style. eda89fc [Reynold Xin] Fixed describe. 2967118 [Reynold Xin] Fixed accessor for JoinedRow. e3294eb [Reynold Xin] Merge branch 'master' into revert-object-pool 657855f [Reynold Xin] Temp commit. c20f2c8 [Reynold Xin] Style fix. fe37079 [Reynold Xin] Revert "[SPARK-8579] [SQL] support arbitrary object in UnsafeRow"
* [SPARK-9262][build] Treat Scala compiler warnings as errorsReynold Xin2015-07-221-1/+32
| | | | | | | | | | | | | | | | | | I've seen a few cases in the past few weeks that the compiler is throwing warnings that are caused by legitimate bugs. This patch upgrades warnings to errors, except deprecation warnings. Note that ideally we should be able to mark deprecation warnings as errors as well. However, due to the lack of ability to suppress individual warning messages in the Scala compiler, we cannot do that (since we do need to access deprecated APIs in Hadoop). Most of the work are done by ericl. Author: Reynold Xin <rxin@databricks.com> Author: Eric Liang <ekl@databricks.com> Closes #7598 from rxin/warnings and squashes the following commits: beb311b [Reynold Xin] Fixed tests. 542c031 [Reynold Xin] Fixed one more warning. 87c354a [Reynold Xin] Fixed all non-deprecation warnings. 78660ac [Eric Liang] first effort to fix warnings
* [SPARK-7879] [MLLIB] KMeans API for spark.ml PipelinesYu ISHIKAWA2015-07-171-2/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | I Implemented the KMeans API for spark.ml Pipelines. But it doesn't include clustering abstractions for spark.ml (SPARK-7610). It would fit for another issues. And I'll try it later, since we are trying to add the hierarchical clustering algorithms in another issue. Thanks. [SPARK-7879] KMeans API for spark.ml Pipelines - ASF JIRA https://issues.apache.org/jira/browse/SPARK-7879 Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #6756 from yu-iskw/SPARK-7879 and squashes the following commits: be752de [Yu ISHIKAWA] Add assertions a14939b [Yu ISHIKAWA] Fix the dashed line's length in pyspark.ml.rst 4c61693 [Yu ISHIKAWA] Remove the test about whether "features" and "prediction" columns exist or not in Python fb2417c [Yu ISHIKAWA] Use getInt, instead of get f397be4 [Yu ISHIKAWA] Switch the comparisons. ca78b7d [Yu ISHIKAWA] Add the Scala docs about the constraints of each parameter. effc650 [Yu ISHIKAWA] Using expertSetParam and expertGetParam c8dc6e6 [Yu ISHIKAWA] Remove an unnecessary test 19a9d63 [Yu ISHIKAWA] Include spark.ml.clustering to python tests 1abb19c [Yu ISHIKAWA] Add the statements about spark.ml.clustering into pyspark.ml.rst f8338bc [Yu ISHIKAWA] Add the placeholders in Python 4a03003 [Yu ISHIKAWA] Test for contains in Python 6566c8b [Yu ISHIKAWA] Use `get`, instead of `apply` 288e8d5 [Yu ISHIKAWA] Using `contains` to check the column names 5a7d574 [Yu ISHIKAWA] Renamce `validateInitializationMode` to `validateInitMode` and remove throwing exception 97cfae3 [Yu ISHIKAWA] Fix the type of return value of `KMeans.copy` e933723 [Yu ISHIKAWA] Remove the default value of seed from the Model class 978ee2c [Yu ISHIKAWA] Modify the docs of KMeans, according to mllib's KMeans 2ec80bc [Yu ISHIKAWA] Fit on 1 line e186be1 [Yu ISHIKAWA] Make a few variables, setters and getters be expert ones b2c205c [Yu ISHIKAWA] Rename the method `getInitializationSteps` to `getInitSteps` and `setInitializationSteps` to `setInitSteps` in Scala and Python f43f5b4 [Yu ISHIKAWA] Rename the method `getInitializationMode` to `getInitMode` and `setInitializationMode` to `setInitMode` in Scala and Python 3cb5ba4 [Yu ISHIKAWA] Modify the description about epsilon and the validation 4fa409b [Yu ISHIKAWA] Add a comment about the default value of epsilon 2f392e1 [Yu ISHIKAWA] Make some variables `final` and Use `IntParam` and `DoubleParam` 19326f8 [Yu ISHIKAWA] Use `udf`, instead of callUDF 4d2ad1e [Yu ISHIKAWA] Modify the indentations 0ae422f [Yu ISHIKAWA] Add a test for `setParams` 4ff7913 [Yu ISHIKAWA] Add "ml.clustering" to `javacOptions` in SparkBuild.scala 11ffdf1 [Yu ISHIKAWA] Use `===` and the variable 220a176 [Yu ISHIKAWA] Set a random seed in the unit testing 92c3efc [Yu ISHIKAWA] Make the points for a test be fewer c758692 [Yu ISHIKAWA] Modify the parameters of KMeans in Python 6aca147 [Yu ISHIKAWA] Add some unit testings to validate the setter methods 687cacc [Yu ISHIKAWA] Alias mllib.KMeans as MLlibKMeans in KMeansSuite.scala a4dfbef [Yu ISHIKAWA] Modify the last brace and indentations 5bedc51 [Yu ISHIKAWA] Remve an extra new line 444c289 [Yu ISHIKAWA] Add the validation for `runs` e41989c [Yu ISHIKAWA] Modify how to validate `initStep` 7ea133a [Yu ISHIKAWA] Change how to validate `initMode` 7991e15 [Yu ISHIKAWA] Add a validation for `k` c2df35d [Yu ISHIKAWA] Make `predict` private 93aa2ff [Yu ISHIKAWA] Use `withColumn` in `transform` d3a79f7 [Yu ISHIKAWA] Remove the inhefited docs e9532e1 [Yu ISHIKAWA] make `parentModel` of KMeansModel private 8559772 [Yu ISHIKAWA] Remove the `paramMap` parameter of KMeans 6684850 [Yu ISHIKAWA] Rename `initializationSteps` to `initSteps` 99b1b96 [Yu ISHIKAWA] Rename `initializationMode` to `initMode` 79ea82b [Yu ISHIKAWA] Modify the parameters of KMeans docs 6569bcd [Yu ISHIKAWA] Change how to set the default values with `setDefault` 20a795a [Yu ISHIKAWA] Change how to set the default values with `setDefault` 11c2a12 [Yu ISHIKAWA] Limit the imports badb481 [Yu ISHIKAWA] Alias spark.mllib.{KMeans, KMeansModel} f80319a [Yu ISHIKAWA] Rebase mater branch and add copy methods 85d92b1 [Yu ISHIKAWA] Add `KMeans.setPredictionCol` aa9469d [Yu ISHIKAWA] Fix a python test suite error caused by python 3.x c2d6bcb [Yu ISHIKAWA] ADD Java test suites of the KMeans API for spark.ml Pipeline 598ed2e [Yu ISHIKAWA] Implement the KMeans API for spark.ml Pipelines in Python 63ad785 [Yu ISHIKAWA] Implement the KMeans API for spark.ml Pipelines in Scala
* [SPARK-7977] [BUILD] Disallowing printlnJonathan Alter2015-07-101-0/+4
| | | | | | | | | | | | | | | | | | | | | | | Author: Jonathan Alter <jonalter@users.noreply.github.com> Closes #7093 from jonalter/SPARK-7977 and squashes the following commits: ccd44cc [Jonathan Alter] Changed println to log in ThreadingSuite 7fcac3e [Jonathan Alter] Reverting to println in ThreadingSuite 10724b6 [Jonathan Alter] Changing some printlns to logs in tests eeec1e7 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977 0b1dcb4 [Jonathan Alter] More println cleanup aedaf80 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977 925fd98 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977 0c16fa3 [Jonathan Alter] Replacing some printlns with logs 45c7e05 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977 5c8e283 [Jonathan Alter] Allowing println in audit-release examples 5b50da1 [Jonathan Alter] Allowing printlns in example files ca4b477 [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977 83ab635 [Jonathan Alter] Fixing new printlns 54b131f [Jonathan Alter] Merge branch 'master' of github.com:apache/spark into SPARK-7977 1cd8a81 [Jonathan Alter] Removing some unnecessary comments and printlns b837c3a [Jonathan Alter] Disallowing println
* [SPARK-8776] Increase the default MaxPermSizeYin Huai2015-07-021-2/+2
| | | | | | | | | | | | | | I am increasing the perm gen size to 256m. https://issues.apache.org/jira/browse/SPARK-8776 Author: Yin Huai <yhuai@databricks.com> Closes #7196 from yhuai/SPARK-8776 and squashes the following commits: 60901b4 [Yin Huai] Fix test. d44b713 [Yin Huai] Make sparkShell and hiveConsole use 256m PermGen size. 30aaf8e [Yin Huai] Increase the default PermGen size to 256m.
* [SPARK-7820] [BUILD] Fix Java8-tests suite compile and test error under sbtjerryshao2015-07-011-2/+2
| | | | | | | | Author: jerryshao <saisai.shao@intel.com> Closes #7120 from jerryshao/SPARK-7820 and squashes the following commits: 6902439 [jerryshao] fix Java8-tests suite compile error under sbt
* [SPARK-8378] [STREAMING] Add the Python API for Flumezsxwing2015-07-011-3/+3
| | | | | | | | | | | | | | | | | | | | | | | Author: zsxwing <zsxwing@gmail.com> Closes #6830 from zsxwing/flume-python and squashes the following commits: 78dfdac [zsxwing] Fix the compile error in the test code f1bf3c0 [zsxwing] Address TD's comments 0449723 [zsxwing] Add sbt goal streaming-flume-assembly/assembly e93736b [zsxwing] Fix the test case for determine_modules_to_test 9d5821e [zsxwing] Fix pyspark_core dependencies f9ee681 [zsxwing] Merge branch 'master' into flume-python 7a55837 [zsxwing] Add streaming_flume_assembly to run-tests.py b96b0de [zsxwing] Merge branch 'master' into flume-python ce85e83 [zsxwing] Fix incompatible issues for Python 3 01cbb3d [zsxwing] Add import sys 152364c [zsxwing] Fix the issue that StringIO doesn't work in Python 3 14ba0ff [zsxwing] Add flume-assembly for sbt building b8d5551 [zsxwing] Merge branch 'master' into flume-python 4762c34 [zsxwing] Fix the doc 0336579 [zsxwing] Refactor Flume unit tests and also add tests for Python API 9f33873 [zsxwing] Add the Python API for Flume
* [HOTFIX] [BUILD] Fix MiMa checks in master branch; enable MiMa for launcher ↵Josh Rosen2015-06-231-2/+1
| | | | | | | | | | | | | | project This commit changes the MiMa tests to test against the released 1.4.0 artifacts rather than 1.4.0-rc4; this change is necessary to fix a Jenkins build break since it seems that the RC4 snapshot is no longer available via Maven. I also enabled MiMa checks for the `launcher` subproject, which we should have done right after 1.4.0 was released. Author: Josh Rosen <joshrosen@databricks.com> Closes #6974 from JoshRosen/mima-hotfix and squashes the following commits: 4b4175a [Josh Rosen] [HOTFIX] [BUILD] Fix MiMa checks in master branch; enable MiMa for launcher project
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