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* [SPARK-2996] Implement userClassPathFirst for driver, yarn.Marcelo Vanzin2015-02-091-4/+4
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Yarn's config option `spark.yarn.user.classpath.first` does not work the same way as `spark.files.userClassPathFirst`; Yarn's version is a lot more dangerous, in that it modifies the system classpath, instead of restricting the changes to the user's class loader. So this change implements the behavior of the latter for Yarn, and deprecates the more dangerous choice. To be able to achieve feature-parity, I also implemented the option for drivers (the existing option only applies to executors). So now there are two options, each controlling whether to apply userClassPathFirst to the driver or executors. The old option was deprecated, and aliased to the new one (`spark.executor.userClassPathFirst`). The existing "child-first" class loader also had to be fixed. It didn't handle resources, and it was also doing some things that ended up causing JVM errors depending on how things were being called. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #3233 from vanzin/SPARK-2996 and squashes the following commits: 9cf9cf1 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 a1499e2 [Marcelo Vanzin] Remove SPARK_HOME propagation. fa7df88 [Marcelo Vanzin] Remove 'test.resource' file, create it dynamically. a8c69f1 [Marcelo Vanzin] Review feedback. cabf962 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 a1b8d7e [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 3f768e3 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 2ce3c7a [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 0e6d6be [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 70d4044 [Marcelo Vanzin] Fix pyspark/yarn-cluster test. 0fe7777 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 0e6ef19 [Marcelo Vanzin] Move class loaders around and make names more meaninful. fe970a7 [Marcelo Vanzin] Review feedback. 25d4fed [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 3cb6498 [Marcelo Vanzin] Call the right loadClass() method on the parent. fbb8ab5 [Marcelo Vanzin] Add locking in loadClass() to avoid deadlocks. 2e6c4b7 [Marcelo Vanzin] Mention new setting in documentation. b6497f9 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 a10f379 [Marcelo Vanzin] Some feedback. 3730151 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 f513871 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 44010b6 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 7b57cba [Marcelo Vanzin] Remove now outdated message. 5304d64 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 35949c8 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 54e1a98 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996 d1273b2 [Marcelo Vanzin] Add test file to rat exclude. fa1aafa [Marcelo Vanzin] Remove write check on user jars. 89d8072 [Marcelo Vanzin] Cleanups. a963ea3 [Marcelo Vanzin] Implement spark.driver.userClassPathFirst for standalone cluster mode. 50afa5f [Marcelo Vanzin] Fix Yarn executor command line. 7d14397 [Marcelo Vanzin] Register user jars in executor up front. 7f8603c [Marcelo Vanzin] Fix yarn-cluster mode without userClassPathFirst. 20373f5 [Marcelo Vanzin] Fix ClientBaseSuite. 55c88fa [Marcelo Vanzin] Run all Yarn integration tests via spark-submit. 0b64d92 [Marcelo Vanzin] Add deprecation warning to yarn option. 4a84d87 [Marcelo Vanzin] Fix the child-first class loader. d0394b8 [Marcelo Vanzin] Add "deprecated configs" to SparkConf. 46d8cf2 [Marcelo Vanzin] Update doc with new option, change name to "userClassPathFirst". a314f2d [Marcelo Vanzin] Enable driver class path isolation in SparkSubmit. 91f7e54 [Marcelo Vanzin] [yarn] Enable executor class path isolation. a853e74 [Marcelo Vanzin] Re-work CoarseGrainedExecutorBackend command line arguments. 89522ef [Marcelo Vanzin] Add class path isolation support for Yarn cluster mode.
* [BUILD] Add the ability to launch spark-shell from SBT.Michael Armbrust2015-02-071-0/+23
| | | | | | | | | | Now you can quickly launch the spark-shell without building an assembly. For quick development iteration run `build/sbt ~sparkShell` and calling exit will relaunch with any changes. Author: Michael Armbrust <michael@databricks.com> Closes #4438 from marmbrus/sparkShellSbt and squashes the following commits: b4e44fe [Michael Armbrust] [BUILD] Add the ability to launch spark-shell from SBT.
* [SQL][HiveConsole][DOC] HiveConsole `correct hiveconsole imports`OopsOutOfMemory2015-02-061-0/+1
| | | | | | | | | | | | Sorry for that PR #4330 has some mistakes. I correct it.... so it works correctly now. Author: OopsOutOfMemory <victorshengli@126.com> Closes #4389 from OopsOutOfMemory/doc and squashes the following commits: 843eed9 [OopsOutOfMemory] correct hiveconsole imports
* [SPARK-4789] [SPARK-4942] [SPARK-5031] [mllib] Standardize ML Prediction APIsJoseph K. Bradley2015-02-051-0/+6
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This is part (1a) of the updates from the design doc in [https://docs.google.com/document/d/1BH9el33kBX8JiDdgUJXdLW14CA2qhTCWIG46eXZVoJs] **UPDATE**: Most of the APIs are being kept private[spark] to allow further discussion. Here is a list of changes which are public: * new output columns: rawPrediction, probabilities * The “score” column is now called “rawPrediction” * Classifiers now provide numClasses * Params.get and .set are now protected instead of private[ml]. * ParamMap now has a size method. * new classes: LinearRegression, LinearRegressionModel * LogisticRegression now has an intercept. ### Sketch of APIs (most of which are private[spark] for now) Abstract classes for learning algorithms (+ corresponding Model abstractions): * Classifier (+ ClassificationModel) * ProbabilisticClassifier (+ ProbabilisticClassificationModel) * Regressor (+ RegressionModel) * Predictor (+ PredictionModel) * *For all of these*: * There is no strongly typed training-time API. * There is a strongly typed test-time (prediction) API which helps developers implement new algorithms. Concrete classes: learning algorithms * LinearRegression * LogisticRegression (updated to use new abstract classes) * Also, removed "score" in favor of "probability" output column. Changed BinaryClassificationEvaluator to match. (SPARK-5031) Other updates: * params.scala: Changed Params.set/get to be protected instead of private[ml] * This was needed for the example of defining a class from outside of the MLlib namespace. * VectorUDT: Will later change from private[spark] to public. * This is needed for outside users to write their own validateAndTransformSchema() methods using vectors. * Also, added equals() method.f * SPARK-4942 : ML Transformers should allow output cols to be turned on,off * Update validateAndTransformSchema * Update transform * (Updated examples, test suites according to other changes) New examples: * DeveloperApiExample.scala (example of defining algorithm from outside of the MLlib namespace) * Added Java version too Test Suites: * LinearRegressionSuite * LogisticRegressionSuite * + Java versions of above suites CC: mengxr etrain shivaram Author: Joseph K. Bradley <joseph@databricks.com> Closes #3637 from jkbradley/ml-api-part1 and squashes the following commits: 405bfb8 [Joseph K. Bradley] Last edits based on code review. Small cleanups fec348a [Joseph K. Bradley] Added JavaDeveloperApiExample.java and fixed other issues: Made developer API private[spark] for now. Added constructors Java can understand to specialized Param types. 8316d5e [Joseph K. Bradley] fixes after rebasing on master fc62406 [Joseph K. Bradley] fixed test suites after last commit bcb9549 [Joseph K. Bradley] Fixed issues after rebasing from master (after move from SchemaRDD to DataFrame) 9872424 [Joseph K. Bradley] fixed JavaLinearRegressionSuite.java Java sql api f542997 [Joseph K. Bradley] Added MIMA excludes for VectorUDT (now public), and added DeveloperApi annotation to it 216d199 [Joseph K. Bradley] fixed after sql datatypes PR got merged f549e34 [Joseph K. Bradley] Updates based on code review. Major ones are: * Created weakly typed Predictor.train() method which is called by fit() so that developers do not have to call schema validation or copy parameters. * Made Predictor.featuresDataType have a default value of VectorUDT. * NOTE: This could be dangerous since the FeaturesType type parameter cannot have a default value. 343e7bd [Joseph K. Bradley] added blanket mima exclude for ml package 82f340b [Joseph K. Bradley] Fixed bug in LogisticRegression (introduced in this PR). Fixed Java suites 0a16da9 [Joseph K. Bradley] Fixed Linear/Logistic RegressionSuites c3c8da5 [Joseph K. Bradley] small cleanup 934f97b [Joseph K. Bradley] Fixed bugs from previous commit. 1c61723 [Joseph K. Bradley] * Made ProbabilisticClassificationModel into a subclass of ClassificationModel. Also introduced ProbabilisticClassifier. * This was to support output column “probabilityCol” in transform(). 4e2f711 [Joseph K. Bradley] rat fix bc654e1 [Joseph K. Bradley] Added spark.ml LinearRegressionSuite 8d13233 [Joseph K. Bradley] Added methods: * Classifier: batch predictRaw() * Predictor: train() without paramMap ProbabilisticClassificationModel.predictProbabilities() * Java versions of all above batch methods + others 1680905 [Joseph K. Bradley] Added JavaLabeledPointSuite.java for spark.ml, and added constructor to LabeledPoint which defaults weight to 1.0 adbe50a [Joseph K. Bradley] * fixed LinearRegression train() to use embedded paramMap * added Predictor.predict(RDD[Vector]) method * updated Linear/LogisticRegressionSuites 58802e3 [Joseph K. Bradley] added train() to Predictor subclasses which does not take a ParamMap. 57d54ab [Joseph K. Bradley] * Changed semantics of Predictor.train() to merge the given paramMap with the embedded paramMap. * remove threshold_internal from logreg * Added Predictor.copy() * Extended LogisticRegressionSuite e433872 [Joseph K. Bradley] Updated docs. Added LabeledPointSuite to spark.ml 54b7b31 [Joseph K. Bradley] Fixed issue with logreg threshold being set correctly 0617d61 [Joseph K. Bradley] Fixed bug from last commit (sorting paramMap by parameter names in toString). Fixed bug in persisting logreg data. Added threshold_internal to logreg for faster test-time prediction (avoiding map lookup). 601e792 [Joseph K. Bradley] Modified ParamMap to sort parameters in toString. Cleaned up classes in class hierarchy, before implementing tests and examples. d705e87 [Joseph K. Bradley] Added LinearRegression and Regressor back from ml-api branch 52f4fde [Joseph K. Bradley] removing everything except for simple class hierarchy for classification d35bb5d [Joseph K. Bradley] fixed compilation issues, but have not added tests yet bfade12 [Joseph K. Bradley] Added lots of classes for new ML API:
* [SPARK-5620][DOC] group methods in generated unidocXiangrui Meng2015-02-051-1/+4
| | | | | | | | | | | | It seems that `(ScalaUnidoc, unidoc)` is the correct way to overwrite `scalacOptions` in unidoc. CC: rxin gzm0 Author: Xiangrui Meng <meng@databricks.com> Closes #4404 from mengxr/SPARK-5620 and squashes the following commits: f890cf5 [Xiangrui Meng] add -groups to scalacOptions in unidoc
* [SQL][Hiveconsole] Bring hive console code up to date and update README.mdOopsOutOfMemory2015-02-041-0/+1
| | | | | | | | | | | | | | Add `import org.apache.spark.sql.Dsl._` to make DSL query works. Since queryExecution is not avaliable in DataFrame, so remove it. Author: OopsOutOfMemory <victorshengli@126.com> Author: Sheng, Li <OopsOutOfMemory@users.noreply.github.com> Closes #4330 from OopsOutOfMemory/hiveconsole and squashes the following commits: 46eb790 [Sheng, Li] Update SparkBuild.scala d23ee9f [OopsOutOfMemory] minor d4dd593 [OopsOutOfMemory] refine hive console
* [SPARK-5536] replace old ALS implementation by the new oneXiangrui Meng2015-02-021-1/+6
| | | | | | | | | | | | | | | | | | | | | The only issue is that `analyzeBlock` is removed, which was marked as a developer API. I didn't change other tests in the ALSSuite under `spark.mllib` to ensure that the implementation is correct. CC: srowen coderxiang Author: Xiangrui Meng <meng@databricks.com> Closes #4321 from mengxr/SPARK-5536 and squashes the following commits: 5a3cee8 [Xiangrui Meng] update python tests that are too strict e840acf [Xiangrui Meng] ignore scala style check for ALS.train e9a721c [Xiangrui Meng] update mima excludes 9ee6a36 [Xiangrui Meng] merge master 9a8aeac [Xiangrui Meng] update tests d8c3271 [Xiangrui Meng] remove analyzeBlocks d68eee7 [Xiangrui Meng] add checkpoint to new ALS 22a56f8 [Xiangrui Meng] wrap old ALS c387dff [Xiangrui Meng] support random seed 3bdf24b [Xiangrui Meng] make storage level configurable in the new ALS
* [SPARK-5154] [PySpark] [Streaming] Kafka streaming support in PythonDavies Liu2015-02-021-3/+11
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR brings the Python API for Spark Streaming Kafka data source. ``` class KafkaUtils(__builtin__.object) | Static methods defined here: | | createStream(ssc, zkQuorum, groupId, topics, storageLevel=StorageLevel(True, True, False, False, 2), keyDecoder=<function utf8_decoder>, valueDecoder=<function utf8_decoder>) | Create an input stream that pulls messages from a Kafka Broker. | | :param ssc: StreamingContext object | :param zkQuorum: Zookeeper quorum (hostname:port,hostname:port,..). | :param groupId: The group id for this consumer. | :param topics: Dict of (topic_name -> numPartitions) to consume. | Each partition is consumed in its own thread. | :param storageLevel: RDD storage level. | :param keyDecoder: A function used to decode key | :param valueDecoder: A function used to decode value | :return: A DStream object ``` run the example: ``` bin/spark-submit --driver-class-path external/kafka-assembly/target/scala-*/spark-streaming-kafka-assembly-*.jar examples/src/main/python/streaming/kafka_wordcount.py localhost:2181 test ``` Author: Davies Liu <davies@databricks.com> Author: Tathagata Das <tdas@databricks.com> Closes #3715 from davies/kafka and squashes the following commits: d93bfe0 [Davies Liu] Update make-distribution.sh 4280d04 [Davies Liu] address comments e6d0427 [Davies Liu] Merge branch 'master' of github.com:apache/spark into kafka f257071 [Davies Liu] add tests for null in RDD 23b039a [Davies Liu] address comments 9af51c4 [Davies Liu] Merge branch 'kafka' of github.com:davies/spark into kafka a74da87 [Davies Liu] address comments dc1eed0 [Davies Liu] Update kafka_wordcount.py 31e2317 [Davies Liu] Update kafka_wordcount.py 370ba61 [Davies Liu] Update kafka.py 97386b3 [Davies Liu] address comment 2c567a5 [Davies Liu] update logging and comment 33730d1 [Davies Liu] Merge branch 'master' of github.com:apache/spark into kafka adeeb38 [Davies Liu] Merge pull request #3 from tdas/kafka-python-api aea8953 [Tathagata Das] Kafka-assembly for Python API eea16a7 [Davies Liu] refactor f6ce899 [Davies Liu] add example and fix bugs 98c8d17 [Davies Liu] fix python style 5697a01 [Davies Liu] bypass decoder in scala 048dbe6 [Davies Liu] fix python style 75d485e [Davies Liu] add mqtt 07923c4 [Davies Liu] support kafka in Python
* [SPARK-5540] hide ALS.solveLeastSquaresXiangrui Meng2015-02-021-0/+4
| | | | | | | | | | This method survived the code review and it has been there since v1.1.0. It exposes jblas types. Let's remove it from the public API. I think no one calls it directly. Author: Xiangrui Meng <meng@databricks.com> Closes #4318 from mengxr/SPARK-5540 and squashes the following commits: 586ade6 [Xiangrui Meng] hide ALS.solveLeastSquares
* [SPARK-5461] [graphx] Add isCheckpointed, getCheckpointedFiles methods to GraphJoseph K. Bradley2015-02-021-0/+6
| | | | | | | | | | | | | | | | | | | | | | | | | Added the 2 methods to Graph and GraphImpl. Both make calls to the underlying vertex and edge RDDs. This is needed for another PR (for LDA): [https://github.com/apache/spark/pull/4047] Notes: * getCheckpointedFiles is plural and returns a Seq[String] instead of an Option[String]. * I attempted to test to make sure the methods returned the correct values after checkpointing. It did not work; I guess that checkpointing does not occur quickly enough? I noticed that there are not checkpointing tests for RDDs; is it just hard to test well? CC: rxin CC: mengxr (since related to LDA) Author: Joseph K. Bradley <joseph@databricks.com> Closes #4253 from jkbradley/graphx-checkpoint and squashes the following commits: b680148 [Joseph K. Bradley] added class tag to firstParent call in VertexRDDImpl.isCheckpointed, though not needed to compile 250810e [Joseph K. Bradley] In EdgeRDDImple, VertexRDDImpl, added transient back to partitionsRDD, and made isCheckpointed check firstParent instead of partitionsRDD 695b7a3 [Joseph K. Bradley] changed partitionsRDD in EdgeRDDImpl, VertexRDDImpl to be non-transient cc00767 [Joseph K. Bradley] added overrides for isCheckpointed, getCheckpointFile in EdgeRDDImpl, VertexRDDImpl. The corresponding Graph methods now work. 188665f [Joseph K. Bradley] improved documentation 235738c [Joseph K. Bradley] Added isCheckpointed and getCheckpointFiles to Graph, GraphImpl
* [SPARK-5430] move treeReduce and treeAggregate from mllib to coreXiangrui Meng2015-01-281-0/+6
| | | | | | | | | | | | | | We have seen many use cases of `treeAggregate`/`treeReduce` outside the ML domain. Maybe it is time to move them to Core. pwendell Author: Xiangrui Meng <meng@databricks.com> Closes #4228 from mengxr/SPARK-5430 and squashes the following commits: 20ad40d [Xiangrui Meng] exclude tree* from mima e89a43e [Xiangrui Meng] fix compile and update java doc 3ae1a4b [Xiangrui Meng] add treeReduce/treeAggregate to Python 6f948c5 [Xiangrui Meng] add treeReduce/treeAggregate to JavaRDDLike d600b6c [Xiangrui Meng] move treeReduce and treeAggregate to core
* [SPARK-5415] bump sbt to version to 0.13.7Ryan Williams2015-01-281-1/+1
| | | | | | | | Author: Ryan Williams <ryan.blake.williams@gmail.com> Closes #4211 from ryan-williams/sbt0.13.7 and squashes the following commits: e28476d [Ryan Williams] bump sbt to version to 0.13.7
* [SPARK-5097][SQL] DataFrameReynold Xin2015-01-271-1/+14
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This pull request redesigns the existing Spark SQL dsl, which already provides data frame like functionalities. TODOs: With the exception of Python support, other tasks can be done in separate, follow-up PRs. - [ ] Audit of the API - [ ] Documentation - [ ] More test cases to cover the new API - [x] Python support - [ ] Type alias SchemaRDD Author: Reynold Xin <rxin@databricks.com> Author: Davies Liu <davies@databricks.com> Closes #4173 from rxin/df1 and squashes the following commits: 0a1a73b [Reynold Xin] Merge branch 'df1' of github.com:rxin/spark into df1 23b4427 [Reynold Xin] Mima. 828f70d [Reynold Xin] Merge pull request #7 from davies/df 257b9e6 [Davies Liu] add repartition 6bf2b73 [Davies Liu] fix collect with UDT and tests e971078 [Reynold Xin] Missing quotes. b9306b4 [Reynold Xin] Remove removeColumn/updateColumn for now. a728bf2 [Reynold Xin] Example rename. e8aa3d3 [Reynold Xin] groupby -> groupBy. 9662c9e [Davies Liu] improve DataFrame Python API 4ae51ea [Davies Liu] python API for dataframe 1e5e454 [Reynold Xin] Fixed a bug with symbol conversion. 2ca74db [Reynold Xin] Couple minor fixes. ea98ea1 [Reynold Xin] Documentation & literal expressions. 2b22684 [Reynold Xin] Got rid of IntelliJ problems. 02bbfbc [Reynold Xin] Tightening imports. ffbce66 [Reynold Xin] Fixed compilation error. 59b6d8b [Reynold Xin] Style violation. b85edfb [Reynold Xin] ALS. 8c37f0a [Reynold Xin] Made MLlib and examples compile 6d53134 [Reynold Xin] Hive module. d35efd5 [Reynold Xin] Fixed compilation error. ce4a5d2 [Reynold Xin] Fixed test cases in SQL except ParquetIOSuite. 66d5ef1 [Reynold Xin] SQLContext minor patch. c9bcdc0 [Reynold Xin] Checkpoint: SQL module compiles!
* [SPARK-5321] Support for transposing local matricesBurak Yavuz2015-01-271-0/+14
| | | | | | | | | | | | | | | | | | | | | | Support for transposing local matrices added. The `.transpose` function creates a new object re-using the backing array(s) but switches `numRows` and `numCols`. Operations check the flag `.isTransposed` to see whether the indexing in `values` should be modified. This PR will pave the way for transposing `BlockMatrix`. Author: Burak Yavuz <brkyvz@gmail.com> Closes #4109 from brkyvz/SPARK-5321 and squashes the following commits: 87ab83c [Burak Yavuz] fixed scalastyle caf4438 [Burak Yavuz] addressed code review v3 c524770 [Burak Yavuz] address code review comments 2 77481e8 [Burak Yavuz] fixed MiMa f1c1742 [Burak Yavuz] small refactoring ccccdec [Burak Yavuz] fixed failed test dd45c88 [Burak Yavuz] addressed code review a01bd5f [Burak Yavuz] [SPARK-5321] Fixed MiMa issues 2a63593 [Burak Yavuz] [SPARK-5321] fixed bug causing failed gemm test c55f29a [Burak Yavuz] [SPARK-5321] Support for transposing local matrices cleaned up c408c05 [Burak Yavuz] [SPARK-5321] Support for transposing local matrices added
* [SPARK-5315][Streaming] Fix reduceByWindow Java API not work bugjerryshao2015-01-221-0/+4
| | | | | | | | | | | | | | `reduceByWindow` for Java API is actually not Java compatible, change to make it Java compatible. Current solution is to deprecate the old one and add a new API, but since old API actually is not correct, so is keeping the old one meaningful? just to keep the binary compatible? Also even adding new API still need to add to Mima exclusion, I'm not sure to change the API, or deprecate the old API and add a new one, which is the best solution? Author: jerryshao <saisai.shao@intel.com> Closes #4104 from jerryshao/SPARK-5315 and squashes the following commits: 5bc8987 [jerryshao] Address the comment c7aa1b4 [jerryshao] Deprecate the old one to keep binary compatible 8e9dc67 [jerryshao] Fix JavaDStream reduceByWindow signature error
* [SPARK-5297][Streaming] Fix Java file stream type erasure problemjerryshao2015-01-201-0/+4
| | | | | | | | | | | Current Java file stream doesn't support custom key/value type because of loss of type information, details can be seen in [SPARK-5297](https://issues.apache.org/jira/browse/SPARK-5297). Fix this problem by getting correct `ClassTag` from `Class[_]`. Author: jerryshao <saisai.shao@intel.com> Closes #4101 from jerryshao/SPARK-5297 and squashes the following commits: e022ca3 [jerryshao] Add Mima exclusion ecd61b8 [jerryshao] Fix Java fileInputStream type erasure problem
* SPARK-5270 [CORE] Provide isEmpty() function in RDD APISean Owen2015-01-191-0/+4
| | | | | | | | | | | | | Pretty minor, but submitted for consideration -- this would at least help people make this check in the most efficient way I know. Author: Sean Owen <sowen@cloudera.com> Closes #4074 from srowen/SPARK-5270 and squashes the following commits: 66885b8 [Sean Owen] Add note that JavaRDDLike should not be implemented by user code 2e9b490 [Sean Owen] More tests, and Mima-exclude the new isEmpty method in JavaRDDLike 28395ff [Sean Owen] Add isEmpty to Java, Python 7dd04b7 [Sean Owen] Add efficient RDD.isEmpty()
* [SPARK-5096] Use sbt tasks instead of vals to get hadoop versionMichael Armbrust2015-01-171-19/+6
| | | | | | | | | | This makes it possible to compile spark as an external `ProjectRef` where as now we throw a `FileNotFoundException` Author: Michael Armbrust <michael@databricks.com> Closes #3905 from marmbrus/effectivePom and squashes the following commits: fd63aae [Michael Armbrust] Use sbt tasks instead of vals to get hadoop version.
* [SPARK-5193][SQL] Remove Spark SQL Java-specific API.Reynold Xin2015-01-161-0/+4
| | | | | | | | | | | | | | | | | | | | | | | | | After the following patches, the main (Scala) API is now usable for Java users directly. https://github.com/apache/spark/pull/4056 https://github.com/apache/spark/pull/4054 https://github.com/apache/spark/pull/4049 https://github.com/apache/spark/pull/4030 https://github.com/apache/spark/pull/3965 https://github.com/apache/spark/pull/3958 Author: Reynold Xin <rxin@databricks.com> Closes #4065 from rxin/sql-java-api and squashes the following commits: b1fd860 [Reynold Xin] Fix Mima 6d86578 [Reynold Xin] Ok one more attempt in fixing Python... e8f1455 [Reynold Xin] Fix Python again... 3e53f91 [Reynold Xin] Fixed Python. 83735da [Reynold Xin] Fix BigDecimal test. e9f1de3 [Reynold Xin] Use scala BigDecimal. 500d2c4 [Reynold Xin] Fix Decimal. ba3bfa2 [Reynold Xin] Updated javadoc for RowFactory. c4ae1c5 [Reynold Xin] [SPARK-5193][SQL] Remove Spark SQL Java-specific API.
* [SPARK-4014] Add TaskContext.attemptNumber and deprecate TaskContext.attemptIdJosh Rosen2015-01-141-0/+6
| | | | | | | | | | | | | | | | | | | | | | | | | | | | `TaskContext.attemptId` is misleadingly-named, since it currently returns a taskId, which uniquely identifies a particular task attempt within a particular SparkContext, instead of an attempt number, which conveys how many times a task has been attempted. This patch deprecates `TaskContext.attemptId` and add `TaskContext.taskId` and `TaskContext.attemptNumber` fields. Prior to this change, it was impossible to determine whether a task was being re-attempted (or was a speculative copy), which made it difficult to write unit tests for tasks that fail on early attempts or speculative tasks that complete faster than original tasks. Earlier versions of the TaskContext docs suggest that `attemptId` behaves like `attemptNumber`, so there's an argument to be made in favor of changing this method's implementation. Since we've decided against making that change in maintenance branches, I think it's simpler to add better-named methods and retain the old behavior for `attemptId`; if `attemptId` behaved differently in different branches, then this would cause confusing build-breaks when backporting regression tests that rely on the new `attemptId` behavior. Most of this patch is fairly straightforward, but there is a bit of trickiness related to Mesos tasks: since there's no field in MesosTaskInfo to encode the attemptId, I packed it into the `data` field alongside the task binary. Author: Josh Rosen <joshrosen@databricks.com> Closes #3849 from JoshRosen/SPARK-4014 and squashes the following commits: 89d03e0 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4014 5cfff05 [Josh Rosen] Introduce wrapper for serializing Mesos task launch data. 38574d4 [Josh Rosen] attemptId -> taskAttemptId in PairRDDFunctions a180b88 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4014 1d43aa6 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4014 eee6a45 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4014 0b10526 [Josh Rosen] Use putInt instead of putLong (silly mistake) 8c387ce [Josh Rosen] Use local with maxRetries instead of local-cluster. cbe4d76 [Josh Rosen] Preserve attemptId behavior and deprecate it: b2dffa3 [Josh Rosen] Address some of Reynold's minor comments 9d8d4d1 [Josh Rosen] Doc typo 1e7a933 [Josh Rosen] [SPARK-4014] Change TaskContext.attemptId to return attempt number instead of task ID. fd515a5 [Josh Rosen] Add failing test for SPARK-4014
* [SPARK-5123][SQL] Reconcile Java/Scala API for data types.Reynold Xin2015-01-132-2/+14
| | | | | | | | | | | | | | Having two versions of the data type APIs (one for Java, one for Scala) requires downstream libraries to also have two versions of the APIs if the library wants to support both Java and Scala. I took a look at the Scala version of the data type APIs - it can actually work out pretty well for Java out of the box. As part of the PR, I created a sql.types package and moved all type definitions there. I then removed the Java specific data type API along with a lot of the conversion code. This subsumes https://github.com/apache/spark/pull/3925 Author: Reynold Xin <rxin@databricks.com> Closes #3958 from rxin/SPARK-5123-datatype-2 and squashes the following commits: 66505cc [Reynold Xin] [SPARK-5123] Expose only one version of the data type APIs (i.e. remove the Java-specific API).
* [SPARK-5032] [graphx] Remove GraphX MIMA exclude for 1.3Joseph K. Bradley2015-01-101-1/+0
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Since GraphX is no longer alpha as of 1.2, MimaExcludes should not exclude GraphX for 1.3 Here are the individual excludes I had to add + the associated commits: ``` // SPARK-4444 ProblemFilters.exclude[IncompatibleResultTypeProblem]( "org.apache.spark.graphx.EdgeRDD.fromEdges"), ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.EdgeRDD.filter"), ProblemFilters.exclude[IncompatibleResultTypeProblem]( "org.apache.spark.graphx.impl.EdgeRDDImpl.filter"), ``` [https://github.com/apache/spark/commit/9ac2bb18ede2e9f73c255fa33445af89aaf8a000] ``` // SPARK-3623 ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.Graph.checkpoint") ``` [https://github.com/apache/spark/commit/e895e0cbecbbec1b412ff21321e57826d2d0a982] ``` // SPARK-4620 ProblemFilters.exclude[MissingMethodProblem]("org.apache.spark.graphx.Graph.unpersist"), ``` [https://github.com/apache/spark/commit/8817fc7fe8785d7b11138ca744f22f7e70f1f0a0] CC: rxin Author: Joseph K. Bradley <joseph@databricks.com> Closes #3856 from jkbradley/graphx-mima and squashes the following commits: 1eea2f6 [Joseph K. Bradley] moved cleanup to run-tests 527ccd9 [Joseph K. Bradley] fixed jenkins script to remove ivy2 cache 802e252 [Joseph K. Bradley] Removed GraphX MIMA excludes and added line to clear spark from .m2 dir before Jenkins tests. This may not work yet... 30f8bb4 [Joseph K. Bradley] added individual mima excludes for graphx a3fea42 [Joseph K. Bradley] removed graphx mima exclude for 1.3
* [SPARK-3325][Streaming] Add a parameter to the method print in class DStreamYadong Qi2015-01-021-0/+3
| | | | | | | | | | | | | | | | | | | | | | | This PR is a fixed version of the original PR #3237 by watermen and scwf. This adds the ability to specify how many elements to print in `DStream.print`. Author: Yadong Qi <qiyadong2010@gmail.com> Author: q00251598 <qiyadong@huawei.com> Author: Tathagata Das <tathagata.das1565@gmail.com> Author: wangfei <wangfei1@huawei.com> Closes #3865 from tdas/print-num and squashes the following commits: cd34e9e [Tathagata Das] Fix bug 7c09f16 [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into HEAD bb35d1a [Yadong Qi] Update MimaExcludes.scala f8098ca [Yadong Qi] Update MimaExcludes.scala f6ac3cb [Yadong Qi] Update MimaExcludes.scala e4ed897 [Yadong Qi] Update MimaExcludes.scala 3b9d5cf [wangfei] fix conflicts ec8a3af [q00251598] move to Spark 1.3 26a70c0 [q00251598] extend the Python DStream's print b589a4b [q00251598] add another print function
* SPARK-2757 [BUILD] [STREAMING] Add Mima test for Spark Sink after 1.10 is ↵Sean Owen2014-12-312-1/+6
| | | | | | | | | | | | | released Re-enable MiMa for Streaming Flume Sink module, now that 1.1.0 is released, per the JIRA TO-DO. That's pretty much all there is to this. Author: Sean Owen <sowen@cloudera.com> Closes #3842 from srowen/SPARK-2757 and squashes the following commits: 50ff80e [Sean Owen] Exclude apparent false positive turned up by re-enabling MiMa checks for Streaming Flume Sink 0e5ba5c [Sean Owen] Re-enable MiMa for Streaming Flume Sink module
* HOTFIX: Slight tweak on previous commit.Patrick Wendell2014-12-261-1/+3
| | | | Meant to merge this in when committing SPARK-3787.
* [SPARK-3787][BUILD] Assembly jar name is wrong when we build with sbt ↵Kousuke Saruta2014-12-261-3/+13
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | omitting -Dhadoop.version This PR is another solution for When we build with sbt with profile for hadoop and without property for hadoop version like: sbt/sbt -Phadoop-2.2 assembly jar name is always used default version (1.0.4). When we build with maven with same condition for sbt, default version for each profile is used. For instance, if we build like: mvn -Phadoop-2.2 package jar name is used hadoop2.2.0 as a default version of hadoop-2.2. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #3046 from sarutak/fix-assembly-jarname-2 and squashes the following commits: 41ef90e [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into fix-assembly-jarname-2 50c8676 [Kousuke Saruta] Merge branch 'fix-assembly-jarname-2' of github.com:sarutak/spark into fix-assembly-jarname-2 52a1cd2 [Kousuke Saruta] Fixed comflicts dd30768 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into fix-assembly-jarname2 f1c90bb [Kousuke Saruta] Fixed SparkBuild.scala in order to read `hadoop.version` property from pom.xml af6b100 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into fix-assembly-jarname c81806b [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into fix-assembly-jarname ad1f96e [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into fix-assembly-jarname b2318eb [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into fix-assembly-jarname 5fc1259 [Kousuke Saruta] Fixed typo. eebbb7d [Kousuke Saruta] Fixed wrong jar name
* [Build] Remove spark-staging-1038scwf2014-12-191-2/+0
| | | | | | | | Author: scwf <wangfei1@huawei.com> Closes #3743 from scwf/abc and squashes the following commits: 7d98bc8 [scwf] removing spark-staging-1038
* SPARK-4814 [CORE] Enable assertions in SBT, Maven tests / AssertionError ↵Sean Owen2014-12-151-0/+3
| | | | | | | | | | | | | from Hive's LazyBinaryInteger This enables assertions for the Maven and SBT build, but overrides the Hive module to not enable assertions. Author: Sean Owen <sowen@cloudera.com> Closes #3692 from srowen/SPARK-4814 and squashes the following commits: caca704 [Sean Owen] Disable assertions just for Hive f71e783 [Sean Owen] Enable assertions for SBT and Maven build
* SPARK-4338. [YARN] Ditch yarn-alpha.Sandy Ryza2014-12-091-13/+7
| | | | | | | | | | | Sorry if this is a little premature with 1.2 still not out the door, but it will make other work like SPARK-4136 and SPARK-2089 a lot easier. Author: Sandy Ryza <sandy@cloudera.com> Closes #3215 from sryza/sandy-spark-4338 and squashes the following commits: 1c5ac08 [Sandy Ryza] Update building Spark docs and remove unnecessary newline 9c1421c [Sandy Ryza] SPARK-4338. Ditch yarn-alpha.
* [SPARK-4685] Include all spark.ml and spark.mllib packages in JavaDoc's ↵lewuathe2014-12-041-1/+4
| | | | | | | | | | | | | | | | | | MLlib group This is #3554 from Lewuathe except that I put both `spark.ml` and `spark.mllib` in the group 'MLlib`. Closes #3554 jkbradley Author: lewuathe <lewuathe@me.com> Author: Xiangrui Meng <meng@databricks.com> Closes #3598 from mengxr/Lewuathe-modify-javadoc-setting and squashes the following commits: 184609a [Xiangrui Meng] merge spark.ml and spark.mllib into the same group in javadoc f7535e6 [lewuathe] [SPARK-4685] Update JavaDoc settings to include spark.ml and all spark.mllib subpackages in the right sections
* [SPARK-4193][BUILD] Disable doclint in Java 8 to prevent from build error.Takuya UESHIN2014-11-281-1/+6
| | | | | | | | | | | | | | Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #3058 from ueshin/issues/SPARK-4193 and squashes the following commits: e096bb1 [Takuya UESHIN] Add a plugin declaration to pluginManagement. 6762ec2 [Takuya UESHIN] Fix usage of -Xdoclint javadoc option. fdb280a [Takuya UESHIN] Fix Javadoc errors. 4745f3c [Takuya UESHIN] Merge branch 'master' into issues/SPARK-4193 923e2f0 [Takuya UESHIN] Use doclint option `-missing` instead of `none`. 30d6718 [Takuya UESHIN] Fix Javadoc errors. b548017 [Takuya UESHIN] Disable doclint in Java 8 to prevent from build error.
* [SPARK-4614][MLLIB] Slight API changes in Matrix and MatricesXiangrui Meng2014-11-261-0/+6
| | | | | | | | | | | | | Before we have a full picture of the operators we want to add, it might be safer to hide `Matrix.transposeMultiply` in 1.2.0. Another update we want to change is `Matrix.randn` and `Matrix.rand`, both of which should take a `Random` implementation. Otherwise, it is very likely to produce inconsistent RDDs. I also added some unit tests for matrix factory methods. All APIs are new in 1.2, so there is no incompatible changes. brkyvz Author: Xiangrui Meng <meng@databricks.com> Closes #3468 from mengxr/SPARK-4614 and squashes the following commits: 3b0e4e2 [Xiangrui Meng] add mima excludes 6bfd8a4 [Xiangrui Meng] hide transposeMultiply; add rng to rand and randn; add unit tests
* Updating GraphX programming guide and documentationJoseph E. Gonzalez2014-11-191-1/+1
| | | | | | | | | | This pull request revises the programming guide to reflect changes in the GraphX API as well as the deprecated mapReduceTriplets operator. Author: Joseph E. Gonzalez <joseph.e.gonzalez@gmail.com> Closes #3359 from jegonzal/GraphXProgrammingGuide and squashes the following commits: 4421964 [Joseph E. Gonzalez] updating documentation for graphx
* [SPARK-4429][BUILD] Build for Scala 2.11 using sbt fails.Takuya UESHIN2014-11-191-7/+6
| | | | | | | | | | | | | | | | | | | | | | | | | | | | I tried to build for Scala 2.11 using sbt with the following command: ``` $ sbt/sbt -Dscala-2.11 assembly ``` but it ends with the following error messages: ``` [error] (streaming-kafka/*:update) sbt.ResolveException: unresolved dependency: org.apache.kafka#kafka_2.11;0.8.0: not found [error] (catalyst/*:update) sbt.ResolveException: unresolved dependency: org.scalamacros#quasiquotes_2.11;2.0.1: not found ``` The reason is: If system property `-Dscala-2.11` (without value) was set, `SparkBuild.scala` adds `scala-2.11` profile, but also `sbt-pom-reader` activates `scala-2.10` profile instead of `scala-2.11` profile because the activator `PropertyProfileActivator` used by `sbt-pom-reader` internally checks if the property value is empty or not. The value is set to non-empty value, then no need to add profiles in `SparkBuild.scala` because `sbt-pom-reader` can handle as expected. Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #3342 from ueshin/issues/SPARK-4429 and squashes the following commits: 14d86e8 [Takuya UESHIN] Add a comment. 4eef52b [Takuya UESHIN] Remove unneeded condition. ce98d0f [Takuya UESHIN] Set non-empty value to system property "scala-2.11" if the property exists instead of adding profile.
* [HOT FIX] MiMa tests are brokenAndrew Or2014-11-191-0/+6
| | | | | | | | | | | This is blocking #3353 and other patches. Author: Andrew Or <andrew@databricks.com> Closes #3371 from andrewor14/mima-hot-fix and squashes the following commits: 842d059 [Andrew Or] Move excludes to the right section c4d4f4e [Andrew Or] MIMA hot fix
* Bumping version to 1.3.0-SNAPSHOT.Marcelo Vanzin2014-11-183-5/+17
| | | | | | | | | | | | Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #3277 from vanzin/version-1.3 and squashes the following commits: 7c3c396 [Marcelo Vanzin] Added temp repo to sbt build. 5f404ff [Marcelo Vanzin] Add another exclusion. 19457e7 [Marcelo Vanzin] Update old version to 1.2, add temporary 1.2 repo. 3c8d705 [Marcelo Vanzin] Workaround for MIMA checks. e940810 [Marcelo Vanzin] Bumping version to 1.3.0-SNAPSHOT.
* [SPARK-4017] show progress bar in consoleDavies Liu2014-11-181-0/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The progress bar will look like this: ![1___spark_job__85_250_finished__4_are_running___java_](https://cloud.githubusercontent.com/assets/40902/4854813/a02f44ac-6099-11e4-9060-7c73a73151d6.png) In the right corner, the numbers are: finished tasks, running tasks, total tasks. After the stage has finished, it will disappear. The progress bar is only showed if logging level is WARN or higher (but progress in title is still showed), it can be turned off by spark.driver.showConsoleProgress. Author: Davies Liu <davies@databricks.com> Closes #3029 from davies/progress and squashes the following commits: 95336d5 [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress fc49ac8 [Davies Liu] address commentse 2e90f75 [Davies Liu] show multiple stages in same time 0081bcc [Davies Liu] address comments 38c42f1 [Davies Liu] fix tests ab87958 [Davies Liu] disable progress bar during tests 30ac852 [Davies Liu] re-implement progress bar b3f34e5 [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress 6fd30ff [Davies Liu] show progress bar if no task finished in 500ms e4e7344 [Davies Liu] refactor e1f524d [Davies Liu] revert unnecessary change a60477c [Davies Liu] Merge branch 'master' of github.com:apache/spark into progress 5cae3f2 [Davies Liu] fix style ea49fe0 [Davies Liu] address comments bc53d99 [Davies Liu] refactor e6bb189 [Davies Liu] fix logging in sparkshell 7e7d4e7 [Davies Liu] address commments 5df26bb [Davies Liu] fix style 9e42208 [Davies Liu] show progress bar in console and title
* [SPARK-4180] [Core] Prevent creation of multiple active SparkContextsJosh Rosen2014-11-171-0/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This patch adds error-detection logic to throw an exception when attempting to create multiple active SparkContexts in the same JVM, since this is currently unsupported and has been known to cause confusing behavior (see SPARK-2243 for more details). **The solution implemented here is only a partial fix.** A complete fix would have the following properties: 1. Only one SparkContext may ever be under construction at any given time. 2. Once a SparkContext has been successfully constructed, any subsequent construction attempts should fail until the active SparkContext is stopped. 3. If the SparkContext constructor throws an exception, then all resources created in the constructor should be cleaned up (SPARK-4194). 4. If a user attempts to create a SparkContext but the creation fails, then the user should be able to create new SparkContexts. This PR only provides 2) and 4); we should be able to provide all of these properties, but the correct fix will involve larger changes to SparkContext's construction / initialization, so we'll target it for a different Spark release. ### The correct solution: I think that the correct way to do this would be to move the construction of SparkContext's dependencies into a static method in the SparkContext companion object. Specifically, we could make the default SparkContext constructor `private` and change it to accept a `SparkContextDependencies` object that contains all of SparkContext's dependencies (e.g. DAGScheduler, ContextCleaner, etc.). Secondary constructors could call a method on the SparkContext companion object to create the `SparkContextDependencies` and pass the result to the primary SparkContext constructor. For example: ```scala class SparkContext private (deps: SparkContextDependencies) { def this(conf: SparkConf) { this(SparkContext.getDeps(conf)) } } object SparkContext( private[spark] def getDeps(conf: SparkConf): SparkContextDependencies = synchronized { if (anotherSparkContextIsActive) { throw Exception(...) } var dagScheduler: DAGScheduler = null try { dagScheduler = new DAGScheduler(...) [...] } catch { case e: Exception => Option(dagScheduler).foreach(_.stop()) [...] } SparkContextDependencies(dagScheduler, ....) } } ``` This gives us mutual exclusion and ensures that any resources created during the failed SparkContext initialization are properly cleaned up. This indirection is necessary to maintain binary compatibility. In retrospect, it would have been nice if SparkContext had no private constructors and could only be created through builder / factory methods on its companion object, since this buys us lots of flexibility and makes dependency injection easier. ### Alternative solutions: As an alternative solution, we could refactor SparkContext's primary constructor to perform all object creation in a giant `try-finally` block. Unfortunately, this will require us to turn a bunch of `vals` into `vars` so that they can be assigned from the `try` block. If we still want `vals`, we could wrap each `val` in its own `try` block (since the try block can return a value), but this will lead to extremely messy code and won't guard against the introduction of future code which doesn't properly handle failures. The more complex approach outlined above gives us some nice dependency injection benefits, so I think that might be preferable to a `var`-ification. ### This PR's solution: - At the start of the constructor, check whether some other SparkContext is active; if so, throw an exception. - If another SparkContext might be under construction (or has thrown an exception during construction), allow the new SparkContext to begin construction but log a warning (since resources might have been leaked from a failed creation attempt). - At the end of the SparkContext constructor, check whether some other SparkContext constructor has raced and successfully created an active context. If so, throw an exception. This guarantees that no two SparkContexts will ever be active and exposed to users (since we check at the very end of the constructor). If two threads race to construct SparkContexts, then one of them will win and another will throw an exception. This exception can be turned into a warning by setting `spark.driver.allowMultipleContexts = true`. The exception is disabled in unit tests, since there are some suites (such as Hive) that may require more significant refactoring to clean up their SparkContexts. I've made a few changes to other suites' test fixtures to properly clean up SparkContexts so that the unit test logs contain fewer warnings. Author: Josh Rosen <joshrosen@databricks.com> Closes #3121 from JoshRosen/SPARK-4180 and squashes the following commits: 23c7123 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180 d38251b [Josh Rosen] Address latest round of feedback. c0987d3 [Josh Rosen] Accept boolean instead of SparkConf in methods. 85a424a [Josh Rosen] Incorporate more review feedback. 372d0d3 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180 f5bb78c [Josh Rosen] Update mvn build, too. d809cb4 [Josh Rosen] Improve handling of failed SparkContext creation attempts. 79a7e6f [Josh Rosen] Fix commented out test a1cba65 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180 7ba6db8 [Josh Rosen] Add utility to set system properties in tests. 4629d5c [Josh Rosen] Set spark.driver.allowMultipleContexts=true in tests. ed17e14 [Josh Rosen] Address review feedback; expose hack workaround for existing unit tests. 1c66070 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4180 06c5c54 [Josh Rosen] Add / improve SparkContext cleanup in streaming BasicOperationsSuite d0437eb [Josh Rosen] StreamingContext.stop() should stop SparkContext even if StreamingContext has not been started yet. c4d35a2 [Josh Rosen] Log long form of creation site to aid debugging. 918e878 [Josh Rosen] Document "one SparkContext per JVM" limitation. afaa7e3 [Josh Rosen] [SPARK-4180] Prevent creations of multiple active SparkContexts.
* [SPARK-4062][Streaming]Add ReliableKafkaReceiver in Spark Streaming Kafka ↵jerryshao2014-11-141-0/+4
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | connector Add ReliableKafkaReceiver in Kafka connector to prevent data loss if WAL in Spark Streaming is enabled. Details and design doc can be seen in [SPARK-4062](https://issues.apache.org/jira/browse/SPARK-4062). Author: jerryshao <saisai.shao@intel.com> Author: Tathagata Das <tathagata.das1565@gmail.com> Author: Saisai Shao <saisai.shao@intel.com> Closes #2991 from jerryshao/kafka-refactor and squashes the following commits: 5461f1c [Saisai Shao] Merge pull request #8 from tdas/kafka-refactor3 eae4ad6 [Tathagata Das] Refectored KafkaStreamSuiteBased to eliminate KafkaTestUtils and made Java more robust. fab14c7 [Tathagata Das] minor update. 149948b [Tathagata Das] Fixed mistake 14630aa [Tathagata Das] Minor updates. d9a452c [Tathagata Das] Minor updates. ec2e95e [Tathagata Das] Removed the receiver's locks and essentially reverted to Saisai's original design. 2a20a01 [jerryshao] Address some comments 9f636b3 [Saisai Shao] Merge pull request #5 from tdas/kafka-refactor b2b2f84 [Tathagata Das] Refactored Kafka receiver logic and Kafka testsuites e501b3c [jerryshao] Add Mima excludes b798535 [jerryshao] Fix the missed issue e5e21c1 [jerryshao] Change to while loop ea873e4 [jerryshao] Further address the comments 98f3d07 [jerryshao] Fix comment style 4854ee9 [jerryshao] Address all the comments 96c7a1d [jerryshao] Update the ReliableKafkaReceiver unit test 8135d31 [jerryshao] Fix flaky test a949741 [jerryshao] Address the comments 16bfe78 [jerryshao] Change the ordering of imports 0894aef [jerryshao] Add some comments 77c3e50 [jerryshao] Code refactor and add some unit tests dd9aeeb [jerryshao] Initial commit for reliable Kafka receiver
* SPARK-4375. no longer require -Pscala-2.10Sandy Ryza2014-11-141-0/+3
| | | | | | | | | | | | It seems like the winds might have moved away from this approach, but wanted to post the PR anyway because I got it working and to show what it would look like. Author: Sandy Ryza <sandy@cloudera.com> Closes #3239 from sryza/sandy-spark-4375 and squashes the following commits: 0ffbe95 [Sandy Ryza] Enable -Dscala-2.11 in sbt cd42d94 [Sandy Ryza] Update doc f6644c3 [Sandy Ryza] SPARK-4375 take 2
* [SPARK-4281][Build] Package Yarn shuffle service into its own jarAndrew Or2014-11-121-6/+13
| | | | | | | | | | | | | | | This is another addendum to #3082, which added the Yarn shuffle service to run inside the NM. This PR makes the feature much more usable by packaging enough dependencies into the jar to run the service inside an NM. After these changes, the user can run `./make-distribution.sh` and find a `spark-network-yarn*.jar` in their `lib` directory. The equivalent change is done in SBT by making the `network-yarn` module an assembly project. Author: Andrew Or <andrew@databricks.com> Closes #3147 from andrewor14/yarn-shuffle-build and squashes the following commits: bda58d0 [Andrew Or] Fix line too long 81e9705 [Andrew Or] Merge branch 'master' of github.com:apache/spark into yarn-shuffle-build fb7f398 [Andrew Or] Rename jar to spark-{VERSION}-yarn-shuffle.jar 65db822 [Andrew Or] Actually mark slf4j as provided abcefd1 [Andrew Or] Do the same for SBT c653028 [Andrew Or] Package network-yarn and its dependencies
* Support cross building for Scala 2.11Prashant Sharma2014-11-112-8/+30
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Let's give this another go using a version of Hive that shades its JLine dependency. Author: Prashant Sharma <prashant.s@imaginea.com> Author: Patrick Wendell <pwendell@gmail.com> Closes #3159 from pwendell/scala-2.11-prashant and squashes the following commits: e93aa3e [Patrick Wendell] Restoring -Phive-thriftserver profile and cleaning up build script. f65d17d [Patrick Wendell] Fixing build issue due to merge conflict a8c41eb [Patrick Wendell] Reverting dev/run-tests back to master state. 7a6eb18 [Patrick Wendell] Merge remote-tracking branch 'apache/master' into scala-2.11-prashant 583aa07 [Prashant Sharma] REVERT ME: removed hive thirftserver 3680e58 [Prashant Sharma] Revert "REVERT ME: Temporarily removing some Cli tests." 935fb47 [Prashant Sharma] Revert "Fixed by disabling a few tests temporarily." 925e90f [Prashant Sharma] Fixed by disabling a few tests temporarily. 2fffed3 [Prashant Sharma] Exclude groovy from sbt build, and also provide a way for such instances in future. 8bd4e40 [Prashant Sharma] Switched to gmaven plus, it fixes random failures observer with its predecessor gmaven. 5272ce5 [Prashant Sharma] SPARK_SCALA_VERSION related bugs. 2121071 [Patrick Wendell] Migrating version detection to PySpark b1ed44d [Patrick Wendell] REVERT ME: Temporarily removing some Cli tests. 1743a73 [Patrick Wendell] Removing decimal test that doesn't work with Scala 2.11 f5cad4e [Patrick Wendell] Add Scala 2.11 docs 210d7e1 [Patrick Wendell] Revert "Testing new Hive version with shaded jline" 48518ce [Patrick Wendell] Remove association of Hive and Thriftserver profiles. e9d0a06 [Patrick Wendell] Revert "Enable thritfserver for Scala 2.10 only" 67ec364 [Patrick Wendell] Guard building of thriftserver around Scala 2.10 check 8502c23 [Patrick Wendell] Enable thritfserver for Scala 2.10 only e22b104 [Patrick Wendell] Small fix in pom file ec402ab [Patrick Wendell] Various fixes 0be5a9d [Patrick Wendell] Testing new Hive version with shaded jline 4eaec65 [Prashant Sharma] Changed scripts to ignore target. 5167bea [Prashant Sharma] small correction a4fcac6 [Prashant Sharma] Run against scala 2.11 on jenkins. 80285f4 [Prashant Sharma] MAven equivalent of setting spark.executor.extraClasspath during tests. 034b369 [Prashant Sharma] Setting test jars on executor classpath during tests from sbt. d4874cb [Prashant Sharma] Fixed Python Runner suite. null check should be first case in scala 2.11. 6f50f13 [Prashant Sharma] Fixed build after rebasing with master. We should use ${scala.binary.version} instead of just 2.10 e56ca9d [Prashant Sharma] Print an error if build for 2.10 and 2.11 is spotted. 937c0b8 [Prashant Sharma] SCALA_VERSION -> SPARK_SCALA_VERSION cb059b0 [Prashant Sharma] Code review 0476e5e [Prashant Sharma] Scala 2.11 support with repl and all build changes.
* Revert "[SPARK-2703][Core]Make Tachyon related unit tests execute without ↵Patrick Wendell2014-11-101-2/+0
| | | | | | deploying a Tachyon system locally." This reverts commit bd86cb1738800a0aa4c88b9afdba2f97ac6cbf25.
* [SPARK-2703][Core]Make Tachyon related unit tests execute without deploying ↵RongGu2014-11-091-0/+2
| | | | | | | | | | | | a Tachyon system locally. Make Tachyon related unit tests execute without deploying a Tachyon system locally. Author: RongGu <gurongwalker@gmail.com> Closes #3030 from RongGu/SPARK-2703 and squashes the following commits: ad08827 [RongGu] Make Tachyon related unit tests execute without deploying a Tachyon system locally
* SPARK-1209 [CORE] (Take 2) SparkHadoop{MapRed,MapReduce}Util should not use ↵Sean Owen2014-11-091-0/+8
| | | | | | | | | | | | | | | | | | | | package org.apache.hadoop andrewor14 Another try at SPARK-1209, to address https://github.com/apache/spark/pull/2814#issuecomment-61197619 I successfully tested with `mvn -Dhadoop.version=1.0.4 -DskipTests clean package; mvn -Dhadoop.version=1.0.4 test` I assume that is what failed Jenkins last time. I also tried `-Dhadoop.version1.2.1` and `-Phadoop-2.4 -Pyarn -Phive` for more coverage. So this is why the class was put in `org.apache.hadoop` to begin with, I assume. One option is to leave this as-is for now and move it only when Hadoop 1.0.x support goes away. This is the other option, which adds a call to force the constructor to be public at run-time. It's probably less surprising than putting Spark code in `org.apache.hadoop`, but, does involve reflection. A `SecurityManager` might forbid this, but it would forbid a lot of stuff Spark does. This would also only affect Hadoop 1.0.x it seems. Author: Sean Owen <sowen@cloudera.com> Closes #3048 from srowen/SPARK-1209 and squashes the following commits: 0d48f4b [Sean Owen] For Hadoop 1.0.x, make certain constructors public, which were public in later versions 466e179 [Sean Owen] Disable MIMA warnings resulting from moving the class -- this was also part of the PairRDDFunctions type hierarchy though? eb61820 [Sean Owen] Move SparkHadoopMapRedUtil / SparkHadoopMapReduceUtil from org.apache.hadoop to org.apache.spark
* [SPARK-3797] Run external shuffle service in Yarn NMAndrew Or2014-11-051-4/+4
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This creates a new module `network/yarn` that depends on `network/shuffle` recently created in #3001. This PR introduces a custom Yarn auxiliary service that runs the external shuffle service. As of the changes here this shuffle service is required for using dynamic allocation with Spark. This is still WIP mainly because it doesn't handle security yet. I have tested this on a stable Yarn cluster. Author: Andrew Or <andrew@databricks.com> Closes #3082 from andrewor14/yarn-shuffle-service and squashes the following commits: ef3ddae [Andrew Or] Merge branch 'master' of github.com:apache/spark into yarn-shuffle-service 0ee67a2 [Andrew Or] Minor wording suggestions 1c66046 [Andrew Or] Remove unused provided dependencies 0eb6233 [Andrew Or] Merge branch 'master' of github.com:apache/spark into yarn-shuffle-service 6489db5 [Andrew Or] Try catch at the right places 7b71d8f [Andrew Or] Add detailed java docs + reword a few comments d1124e4 [Andrew Or] Add security to shuffle service (INCOMPLETE) 5f8a96f [Andrew Or] Merge branch 'master' of github.com:apache/spark into yarn-shuffle-service 9b6e058 [Andrew Or] Address various feedback f48b20c [Andrew Or] Fix tests again f39daa6 [Andrew Or] Do not make network-yarn an assembly module 761f58a [Andrew Or] Merge branch 'master' of github.com:apache/spark into yarn-shuffle-service 15a5b37 [Andrew Or] Fix build for Hadoop 1.x baff916 [Andrew Or] Fix tests 5bf9b7e [Andrew Or] Address a few minor comments 5b419b8 [Andrew Or] Add missing license header 804e7ff [Andrew Or] Include the Yarn shuffle service jar in the distribution cd076a4 [Andrew Or] Require external shuffle service for dynamic allocation ea764e0 [Andrew Or] Connect to Yarn shuffle service only if it's enabled 1bf5109 [Andrew Or] Use the shuffle service port specified through hadoop config b4b1f0c [Andrew Or] 4 tabs -> 2 tabs 43dcb96 [Andrew Or] First cut integration of shuffle service with Yarn aux service b54a0c4 [Andrew Or] Initial skeleton for Yarn shuffle service
* [SPARK-3796] Create external service which can serve shuffle filesAaron Davidson2014-11-011-5/+6
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This patch introduces the tooling necessary to construct an external shuffle service which is independent of Spark executors, and then use this service inside Spark. An example (just for the sake of this PR) of the service creation can be found in Worker, and the service itself is used by plugging in the StandaloneShuffleClient as Spark's ShuffleClient (setup in BlockManager). This PR continues the work from #2753, which extracted out the transport layer of Spark's block transfer into an independent package within Spark. A new package was created which contains the Spark business logic necessary to retrieve the actual shuffle data, which is completely independent of the transport layer introduced in the previous patch. Similar to the transport layer, this package must not depend on Spark as we anticipate plugging this service as a lightweight process within, say, the YARN NodeManager, and do not wish to include Spark's dependencies (including Scala itself). There are several outstanding tasks which must be complete before this PR can be merged: - [x] Complete unit testing of network/shuffle package. - [x] Performance and correctness testing on a real cluster. - [x] Remove example service instantiation from Worker.scala. There are even more shortcomings of this PR which should be addressed in followup patches: - Don't use Java serializer for RPC layer! It is not cross-version compatible. - Handle shuffle file cleanup for dead executors once the application terminates or the ContextCleaner triggers. - Documentation of the feature in the Spark docs. - Improve behavior if the shuffle service itself goes down (right now we don't blacklist it, and new executors cannot spawn on that machine). - SSL and SASL integration - Nice to have: Handle shuffle file consolidation (this would requires changes to Spark's implementation). Author: Aaron Davidson <aaron@databricks.com> Closes #3001 from aarondav/shuffle-service and squashes the following commits: 4d1f8c1 [Aaron Davidson] Remove changes to Worker 705748f [Aaron Davidson] Rename Standalone* to External* fd3928b [Aaron Davidson] Do not unregister executor outputs unduly 9883918 [Aaron Davidson] Make suggested build changes 3d62679 [Aaron Davidson] Add Spark integration test 7fe51d5 [Aaron Davidson] Fix SBT integration 56caa50 [Aaron Davidson] Address comments c8d1ac3 [Aaron Davidson] Add unit tests 2f70c0c [Aaron Davidson] Fix unit tests 5483e96 [Aaron Davidson] Fix unit tests 46a70bf [Aaron Davidson] Whoops, bracket 5ea4df6 [Aaron Davidson] [SPARK-3796] Create external service which can serve shuffle files
* HOTFIX: Clean up build in network module.Patrick Wendell2014-10-301-3/+5
| | | | | | | | | | | | | | | | | | | | | | | This is currently breaking the package build for some people (including me). This patch does some general clean-up which also fixes the current issue. - Uses consistent artifact naming - Adds sbt support for this module - Changes tests to use scalatest (fixes the original issue[1]) One thing to note, it turns out that scalatest when invoked in the Maven build doesn't succesfully detect JUnit Java tests. This is a long standing issue, I noticed it applies to all of our current test suites as well. I've created SPARK-4159 to fix this. [1] The original issue is that we need to allocate extra memory for the tests, happens by default in our scalatest configuration. Author: Patrick Wendell <pwendell@gmail.com> Closes #3025 from pwendell/hotfix and squashes the following commits: faa9053 [Patrick Wendell] HOTFIX: Clean up build in network module.
* Revert "SPARK-1209 [CORE] SparkHadoop{MapRed,MapReduce}Util should not use ↵Andrew Or2014-10-301-8/+0
| | | | | | package org.apache.hadoop" This reverts commit 68cb69daf3022e973422e496ccf827ca3806ff30.
* SPARK-1209 [CORE] SparkHadoop{MapRed,MapReduce}Util should not use package ↵Sean Owen2014-10-301-0/+8
| | | | | | | | | | | | | org.apache.hadoop (This is just a look at what completely moving the classes would look like. I know Patrick flagged that as maybe not OK, although, it's private?) Author: Sean Owen <sowen@cloudera.com> Closes #2814 from srowen/SPARK-1209 and squashes the following commits: ead1115 [Sean Owen] Disable MIMA warnings resulting from moving the class -- this was also part of the PairRDDFunctions type hierarchy though? 2d42c1d [Sean Owen] Move SparkHadoopMapRedUtil / SparkHadoopMapReduceUtil from org.apache.hadoop to org.apache.spark
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