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* [SPARK-1010] Clean up uses of System.setProperty in unit testsJosh Rosen2014-12-301-4/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Several of our tests call System.setProperty (or test code which implicitly sets system properties) and don't always reset/clear the modified properties, which can create ordering dependencies between tests and cause hard-to-diagnose failures. This patch removes most uses of System.setProperty from our tests, since in most cases we can use SparkConf to set these configurations (there are a few exceptions, including the tests of SparkConf itself). For the cases where we continue to use System.setProperty, this patch introduces a `ResetSystemProperties` ScalaTest mixin class which snapshots the system properties before individual tests and to automatically restores them on test completion / failure. See the block comment at the top of the ResetSystemProperties class for more details. Author: Josh Rosen <joshrosen@databricks.com> Closes #3739 from JoshRosen/cleanup-system-properties-in-tests and squashes the following commits: 0236d66 [Josh Rosen] Replace setProperty uses in two example programs / tools 3888fe3 [Josh Rosen] Remove setProperty use in LocalJavaStreamingContext 4f4031d [Josh Rosen] Add note on why SparkSubmitSuite needs ResetSystemProperties 4742a5b [Josh Rosen] Clarify ResetSystemProperties trait inheritance ordering. 0eaf0b6 [Josh Rosen] Remove setProperty call in TaskResultGetterSuite. 7a3d224 [Josh Rosen] Fix trait ordering 3fdb554 [Josh Rosen] Remove setProperty call in TaskSchedulerImplSuite bee20df [Josh Rosen] Remove setProperty calls in SparkContextSchedulerCreationSuite 655587c [Josh Rosen] Remove setProperty calls in JobCancellationSuite 3f2f955 [Josh Rosen] Remove System.setProperty calls in DistributedSuite cfe9cce [Josh Rosen] Remove use of system properties in SparkContextSuite 8783ab0 [Josh Rosen] Remove TestUtils.setSystemProperty, since it is subsumed by the ResetSystemProperties trait. 633a84a [Josh Rosen] Remove use of system properties in FileServerSuite 25bfce2 [Josh Rosen] Use ResetSystemProperties in UtilsSuite 1d1aa5a [Josh Rosen] Use ResetSystemProperties in SizeEstimatorSuite dd9492b [Josh Rosen] Use ResetSystemProperties in AkkaUtilsSuite b0daff2 [Josh Rosen] Use ResetSystemProperties in BlockManagerSuite e9ded62 [Josh Rosen] Use ResetSystemProperties in TaskSchedulerImplSuite 5b3cb54 [Josh Rosen] Use ResetSystemProperties in SparkListenerSuite 0995c4b [Josh Rosen] Use ResetSystemProperties in SparkContextSchedulerCreationSuite c83ded8 [Josh Rosen] Use ResetSystemProperties in SparkConfSuite 51aa870 [Josh Rosen] Use withSystemProperty in ShuffleSuite 60a63a1 [Josh Rosen] Use ResetSystemProperties in JobCancellationSuite 14a92e4 [Josh Rosen] Use withSystemProperty in FileServerSuite 628f46c [Josh Rosen] Use ResetSystemProperties in DistributedSuite 9e3e0dd [Josh Rosen] Add ResetSystemProperties test fixture mixin; use it in SparkSubmitSuite. 4dcea38 [Josh Rosen] Move withSystemProperty to TestUtils class.
* SPARK-4156 [MLLIB] EM algorithm for GMMsTravis Galoppo2014-12-291-0/+67
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Implementation of Expectation-Maximization for Gaussian Mixture Models. This is my maiden contribution to Apache Spark, so I apologize now if I have done anything incorrectly; having said that, this work is my own, and I offer it to the project under the project's open source license. Author: Travis Galoppo <tjg2107@columbia.edu> Author: Travis Galoppo <travis@localhost.localdomain> Author: tgaloppo <tjg2107@columbia.edu> Author: FlytxtRnD <meethu.mathew@flytxt.com> Closes #3022 from tgaloppo/master and squashes the following commits: aaa8f25 [Travis Galoppo] MLUtils: changed privacy of EPSILON from [util] to [mllib] 709e4bf [Travis Galoppo] fixed usage line to include optional maxIterations parameter acf1fba [Travis Galoppo] Fixed parameter comment in GaussianMixtureModel Made maximum iterations an optional parameter to DenseGmmEM 9b2fc2a [Travis Galoppo] Style improvements Changed ExpectationSum to a private class b97fe00 [Travis Galoppo] Minor fixes and tweaks. 1de73f3 [Travis Galoppo] Removed redundant array from array creation 578c2d1 [Travis Galoppo] Removed unused import 227ad66 [Travis Galoppo] Moved prediction methods into model class. 308c8ad [Travis Galoppo] Numerous changes to improve code cff73e0 [Travis Galoppo] Replaced accumulators with RDD.aggregate 20ebca1 [Travis Galoppo] Removed unusued code 42b2142 [Travis Galoppo] Added functionality to allow setting of GMM starting point. Added two cluster test to testing suite. 8b633f3 [Travis Galoppo] Style issue 9be2534 [Travis Galoppo] Style issue d695034 [Travis Galoppo] Fixed style issues c3b8ce0 [Travis Galoppo] Merge branch 'master' of https://github.com/tgaloppo/spark Adds predict() method 2df336b [Travis Galoppo] Fixed style issue b99ecc4 [tgaloppo] Merge pull request #1 from FlytxtRnD/predictBranch f407b4c [FlytxtRnD] Added predict() to return the cluster labels and membership values 97044cf [Travis Galoppo] Fixed style issues dc9c742 [Travis Galoppo] Moved MultivariateGaussian utility class e7d413b [Travis Galoppo] Moved multivariate Gaussian utility class to mllib/stat/impl Improved comments 9770261 [Travis Galoppo] Corrected a variety of style and naming issues. 8aaa17d [Travis Galoppo] Added additional train() method to companion object for cluster count and tolerance parameters. 676e523 [Travis Galoppo] Fixed to no longer ignore delta value provided on command line e6ea805 [Travis Galoppo] Merged with master branch; update test suite with latest context changes. Improved cluster initialization strategy. 86fb382 [Travis Galoppo] Merge remote-tracking branch 'upstream/master' 719d8cc [Travis Galoppo] Added scala test suite with basic test c1a8e16 [Travis Galoppo] Made GaussianMixtureModel class serializable Modified sum function for better performance 5c96c57 [Travis Galoppo] Merge remote-tracking branch 'upstream/master' c15405c [Travis Galoppo] SPARK-4156
* [SPARK-4608][Streaming] Reorganize StreamingContext implicit to improve API ↵zsxwing2014-12-2511-11/+0
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | convenience There is only one implicit function `toPairDStreamFunctions` in `StreamingContext`. This PR did similar reorganization like [SPARK-4397](https://issues.apache.org/jira/browse/SPARK-4397). Compiled the following codes with Spark Streaming 1.1.0 and ran it with this PR. Everything is fine. ```Scala import org.apache.spark._ import org.apache.spark.streaming._ import org.apache.spark.streaming.StreamingContext._ object StreamingApp { def main(args: Array[String]) { val conf = new SparkConf().setMaster("local[2]").setAppName("FileWordCount") val ssc = new StreamingContext(conf, Seconds(10)) val lines = ssc.textFileStream("/some/path") val words = lines.flatMap(_.split(" ")) val pairs = words.map(word => (word, 1)) val wordCounts = pairs.reduceByKey(_ + _) wordCounts.print() ssc.start() ssc.awaitTermination() } } ``` Author: zsxwing <zsxwing@gmail.com> Closes #3464 from zsxwing/SPARK-4608 and squashes the following commits: aa6d44a [zsxwing] Fix a copy-paste error f74c190 [zsxwing] Merge branch 'master' into SPARK-4608 e6f9cc9 [zsxwing] Update the docs 27833bb [zsxwing] Remove `import StreamingContext._` c15162c [zsxwing] Reorganize StreamingContext implicit to improve API convenience
* [SPARK-4932] Add help comments in AnalyticsTakeshi Yamamuro2014-12-231-0/+4
| | | | | | | | | | Trivial modifications for usability. Author: Takeshi Yamamuro <linguin.m.s@gmail.com> Closes #3775 from maropu/AddHelpCommentInAnalytics and squashes the following commits: fbea8f5 [Takeshi Yamamuro] Add help comments in Analytics
* [Minor] Improve some code in BroadcastTest for shortcarlmartin2014-12-221-4/+1
| | | | | | | | | | | | | | | | | Using val arr1 = (0 until num).toArray instead of val arr1 = new Array[Int](num) for (i <- 0 until arr1.length) { arr1(i) = i } for short. Author: carlmartin <carlmartinmax@gmail.com> Closes #3750 from SaintBacchus/BroadcastTest and squashes the following commits: 43adb70 [carlmartin] Improve some code in BroadcastTest for short
* [SPARK-4880] remove spark.locality.wait in AnalyticsErnest2014-12-181-1/+1
| | | | | | | | | | | spark.locality.wait set to 100000 in examples/graphx/Analytics.scala. Should be left to the user. Author: Ernest <earneyzxl@gmail.com> Closes #3730 from Earne/SPARK-4880 and squashes the following commits: d79ed04 [Ernest] remove spark.locality.wait in Analytics
* [SPARK-4774] [SQL] Makes HiveFromSpark more portableKostas Sakellis2014-12-081-2/+11
| | | | | | | | | | | | HiveFromSpark read the kv1.txt file from SPARK_HOME/examples/src/main/resources/kv1.txt which assumed you had a source tree checked out. Now we copy the kv1.txt file to a temporary file and delete it when the jvm shuts down. This allows us to run this example outside of a spark source tree. Author: Kostas Sakellis <kostas@cloudera.com> Closes #3628 from ksakellis/kostas-spark-4774 and squashes the following commits: 6770f83 [Kostas Sakellis] [SPARK-4774] [SQL] Makes HiveFromSpark more portable
* [FIX][DOC] Fix broken links in ml-guide.mdXiangrui Meng2014-12-042-2/+1
| | | | | | | | | | | | and some minor changes in ScalaDoc. Author: Xiangrui Meng <meng@databricks.com> Closes #3601 from mengxr/SPARK-4575-fix and squashes the following commits: c559768 [Xiangrui Meng] minor code update ce94da8 [Xiangrui Meng] Java Bean -> JavaBean 0b5c182 [Xiangrui Meng] fix links in ml-guide
* [SPARK-4575] [mllib] [docs] spark.ml pipelines doc + bug fixesJoseph K. Bradley2014-12-046-5/+457
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Documentation: * Added ml-guide.md, linked from mllib-guide.md * Updated mllib-guide.md with small section pointing to ml-guide.md Examples: * CrossValidatorExample * SimpleParamsExample * (I copied these + the SimpleTextClassificationPipeline example into the ml-guide.md) Bug fixes: * PipelineModel: did not use ParamMaps correctly * UnaryTransformer: issues with TypeTag serialization (Thanks to mengxr for that fix!) CC: mengxr shivaram etrain Documentation for Pipelines: I know the docs are not complete, but the goal is to have enough to let interested people get started using spark.ml and to add more docs once the package is more established/complete. Author: Joseph K. Bradley <joseph@databricks.com> Author: jkbradley <joseph.kurata.bradley@gmail.com> Author: Xiangrui Meng <meng@databricks.com> Closes #3588 from jkbradley/ml-package-docs and squashes the following commits: d393b5c [Joseph K. Bradley] fixed bug in Pipeline (typo from last commit). updated examples for CV and Params for spark.ml c38469c [Joseph K. Bradley] Updated ml-guide with CV examples 99f88c2 [Joseph K. Bradley] Fixed bug in PipelineModel.transform* with usage of params. Updated CrossValidatorExample to use more training examples so it is less likely to get a 0-size fold. ea34dc6 [jkbradley] Merge pull request #4 from mengxr/ml-package-docs 3b83ec0 [Xiangrui Meng] replace TypeTag with explicit datatype 41ad9b1 [Joseph K. Bradley] Added examples for spark.ml: SimpleParamsExample + Java version, CrossValidatorExample + Java version. CrossValidatorExample not working yet. Added programming guide for spark.ml, but need to add CrossValidatorExample to it once CrossValidatorExample works.
* [SPARK-4580] [SPARK-4610] [mllib] [docs] Documentation for tree ensembles + ↵Joseph K. Bradley2014-12-046-10/+241
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | DecisionTree API fix Major changes: * Added programming guide sections for tree ensembles * Added examples for tree ensembles * Updated DecisionTree programming guide with more info on parameters * **API change**: Standardized the tree parameter for the number of classes (for classification) Minor changes: * Updated decision tree documentation * Updated existing tree and tree ensemble examples * Use train/test split, and compute test error instead of training error. * Fixed decision_tree_runner.py to actually use the number of classes it computes from data. (small bug fix) Note: I know this is a lot of lines, but most is covered by: * Programming guide sections for gradient boosting and random forests. (The changes are probably best viewed by generating the docs locally.) * New examples (which were copied from the programming guide) * The "numClasses" renaming I have run all examples and relevant unit tests. CC: mengxr manishamde codedeft Author: Joseph K. Bradley <joseph@databricks.com> Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #3461 from jkbradley/ensemble-docs and squashes the following commits: 70a75f3 [Joseph K. Bradley] updated forest vs boosting comparison d1de753 [Joseph K. Bradley] Added note about toString and toDebugString for DecisionTree to migration guide 8e87f8f [Joseph K. Bradley] Combined GBT and RandomForest guides into one ensembles guide 6fab846 [Joseph K. Bradley] small fixes based on review b9f8576 [Joseph K. Bradley] updated decision tree doc 375204c [Joseph K. Bradley] fixed python style 2b60b6e [Joseph K. Bradley] merged Java RandomForest examples into 1 file. added header. Fixed small bug in same example in the programming guide. 706d332 [Joseph K. Bradley] updated python DT runner to print full model if it is small c76c823 [Joseph K. Bradley] added migration guide for mllib abe5ed7 [Joseph K. Bradley] added examples for random forest in Java and Python to examples folder 07fc11d [Joseph K. Bradley] Renamed numClassesForClassification to numClasses everywhere in trees and ensembles. This is a breaking API change, but it was necessary to correct an API inconsistency in Spark 1.1 (where Python DecisionTree used numClasses but Scala used numClassesForClassification). cdfdfbc [Joseph K. Bradley] added examples for GBT 6372a2b [Joseph K. Bradley] updated decision tree examples to use random split. tested all of them. ad3e695 [Joseph K. Bradley] added gbt and random forest to programming guide. still need to update their examples
* [SPARK-4710] [mllib] Eliminate MLlib compilation warningsJoseph K. Bradley2014-12-032-8/+10
| | | | | | | | | | | | | | Renamed StreamingKMeans to StreamingKMeansExample to avoid warning about name conflict with StreamingKMeans class. Added import to DecisionTreeRunner to eliminate warning. CC: mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #3568 from jkbradley/ml-compilation-warnings and squashes the following commits: 64d6bc4 [Joseph K. Bradley] Updated DecisionTreeRunner.scala and StreamingKMeans.scala to eliminate compilation warnings, including renaming StreamingKMeans to StreamingKMeansExample.
* [SQL] Minor fix for doc and commentwangfei2014-12-011-3/+4
| | | | | | | | Author: wangfei <wangfei1@huawei.com> Closes #3533 from scwf/sql-doc1 and squashes the following commits: 962910b [wangfei] doc and comment fix
* SPARK-4170 [CORE] Closure problems when running Scala app that "extends App"Sean Owen2014-11-271-34/+36
| | | | | | | | | | | Warn against subclassing scala.App, and remove one instance of this in examples Author: Sean Owen <sowen@cloudera.com> Closes #3497 from srowen/SPARK-4170 and squashes the following commits: 4a6131f [Sean Owen] Restore multiline string formatting a8ca895 [Sean Owen] Warn against subclassing scala.App, and remove one instance of this in examples
* [SPARK-4535][Streaming] Fix the error in commentsq002515982014-11-252-2/+2
| | | | | | | | | | | change `NetworkInputDStream` to `ReceiverInputDStream` change `ReceiverInputTracker` to `ReceiverTracker` Author: q00251598 <qiyadong@huawei.com> Closes #3400 from watermen/fix-comments and squashes the following commits: 75d795c [q00251598] change 'NetworkInputDStream' to 'ReceiverInputDStream' && change 'ReceiverInputTracker' to 'ReceiverTracker'
* [SQL] Fix path in HiveFromSparkscwf2014-11-241-1/+2
| | | | | | | | | | | | It require us to run ```HiveFromSpark``` in specified dir because ```HiveFromSpark``` use relative path, this leads to ```run-example``` error(http://apache-spark-developers-list.1001551.n3.nabble.com/src-main-resources-kv1-txt-not-found-in-example-of-HiveFromSpark-td9100.html). Author: scwf <wangfei1@huawei.com> Closes #3415 from scwf/HiveFromSpark and squashes the following commits: ed3d6c9 [scwf] revert no need change b00e20c [scwf] fix path usring spark_home dbd321b [scwf] fix path in hivefromspark
* [SPARK-4486][MLLIB] Improve GradientBoosting APIs and docXiangrui Meng2014-11-203-32/+22
| | | | | | | | | | | | | | | | | | | | | | | | | | | There are some inconsistencies in the gradient boosting APIs. The target is a general boosting meta-algorithm, but the implementation is attached to trees. This was partially due to the delay of SPARK-1856. But for the 1.2 release, we should make the APIs consistent. 1. WeightedEnsembleModel -> private[tree] TreeEnsembleModel and renamed members accordingly. 1. GradientBoosting -> GradientBoostedTrees 1. Add RandomForestModel and GradientBoostedTreesModel and hide CombiningStrategy 1. Slightly refactored TreeEnsembleModel (Vote takes weights into consideration.) 1. Remove `trainClassifier` and `trainRegressor` from `GradientBoostedTrees` because they are the same as `train` 1. Rename class `train` method to `run` because it hides the static methods with the same name in Java. Deprecated `DecisionTree.train` class method. 1. Simplify BoostingStrategy and make sure the input strategy is not modified. Users should put algo and numClasses in treeStrategy. We create ensembleStrategy inside boosting. 1. Fix a bug in GradientBoostedTreesSuite with AbsoluteError 1. doc updates manishamde jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #3374 from mengxr/SPARK-4486 and squashes the following commits: 7097251 [Xiangrui Meng] address joseph's comments 98dea09 [Xiangrui Meng] address manish's comments 4aae3b7 [Xiangrui Meng] add RandomForestModel and GradientBoostedTreesModel, hide CombiningStrategy ea4c467 [Xiangrui Meng] fix unit tests 751da4e [Xiangrui Meng] rename class method train -> run 19030a5 [Xiangrui Meng] update boosting public APIs
* SPARK-2811 upgrade algebird to 0.8.1Adam Pingel2014-11-172-0/+206
| | | | | | | | | Author: Adam Pingel <adam@axle-lang.org> Closes #3282 from adampingel/master and squashes the following commits: 70c8d3c [Adam Pingel] relocate the algebird example back to example/src 7a9d8be [Adam Pingel] SPARK-2811 upgrade algebird to 0.8.1
* [SPARK-2321] Several progress API improvements / refactoringsJosh Rosen2014-11-141-3/+3
| | | | | | | | | | | | | | | | | | | | This PR refactors / extends the status API introduced in #2696. - Change StatusAPI from a mixin trait to a class. Before, the new status API methods were directly accessible through SparkContext, whereas now they're accessed through a `sc.statusAPI` field. As long as we were going to add these methods directly to SparkContext, the mixin trait seemed like a good idea, but this might be simpler to reason about and may avoid pitfalls that I've run into while attempting to refactor other parts of SparkContext to use mixins (see #3071, for example). - Change the name from SparkStatusAPI to SparkStatusTracker. - Make `getJobIdsForGroup(null)` return ids for jobs that aren't associated with any job group. - Add `getActiveStageIds()` and `getActiveJobIds()` methods that return the ids of whatever's currently active in this SparkContext. This should simplify davies's progress bar code. Author: Josh Rosen <joshrosen@databricks.com> Closes #3197 from JoshRosen/progress-api-improvements and squashes the following commits: 30b0afa [Josh Rosen] Rename SparkStatusAPI to SparkStatusTracker. d1b08d8 [Josh Rosen] Add missing newlines 2cc7353 [Josh Rosen] Add missing file. d5eab1f [Josh Rosen] Add getActive[Stage|Job]Ids() methods. a227984 [Josh Rosen] getJobIdsForGroup(null) should return jobs for default group c47e294 [Josh Rosen] Remove StatusAPI mixin trait.
* [SPARK-4372][MLLIB] Make LR and SVM's default parameters consistent in Scala ↵Xiangrui Meng2014-11-132-2/+2
| | | | | | | | | | | | | | | | | | and Python The current default regParam is 1.0 and regType is claimed to be none in Python (but actually it is l2), while regParam = 0.0 and regType is L2 in Scala. We should make the default values consistent. This PR sets the default regType to L2 and regParam to 0.01. Note that the default regParam value in LIBLINEAR (and hence scikit-learn) is 1.0. However, we use average loss instead of total loss in our formulation. Hence regParam=1.0 is definitely too heavy. In LinearRegression, we set regParam=0.0 and regType=None, because we have separate classes for Lasso and Ridge, both of which use regParam=0.01 as the default. davies atalwalkar Author: Xiangrui Meng <meng@databricks.com> Closes #3232 from mengxr/SPARK-4372 and squashes the following commits: 9979837 [Xiangrui Meng] update Ridge/Lasso to use default regParam 0.01 cast input arguments d3ba096 [Xiangrui Meng] change 'none' back to None 1909a6e [Xiangrui Meng] change default regParam to 0.01 and regType to L2 in LR and SVM
* [SPARK-3660][STREAMING] Initial RDD for updateStateByKey transformationSoumitra Kumar2014-11-121-2/+11
| | | | | | | | | | | | | | | | | | | | | | | | | SPARK-3660 : Initial RDD for updateStateByKey transformation I have added a sample StatefulNetworkWordCountWithInitial inspired by StatefulNetworkWordCount. Please let me know if any changes are required. Author: Soumitra Kumar <kumar.soumitra@gmail.com> Closes #2665 from soumitrak/master and squashes the following commits: ee8980b [Soumitra Kumar] Fixed copy/paste issue. 304f636 [Soumitra Kumar] Added simpler version of updateStateByKey API with initialRDD and test. 9781135 [Soumitra Kumar] Fixed test, and renamed variable. 3da51a2 [Soumitra Kumar] Adding updateStateByKey with initialRDD API to JavaPairDStream. 2f78f7e [Soumitra Kumar] Merge remote-tracking branch 'upstream/master' d4fdd18 [Soumitra Kumar] Renamed variable and moved method. d0ce2cd [Soumitra Kumar] Merge remote-tracking branch 'upstream/master' 31399a4 [Soumitra Kumar] Merge remote-tracking branch 'upstream/master' 4efa58b [Soumitra Kumar] [SPARK-3660][STREAMING] Initial RDD for updateStateByKey transformation 8f40ca0 [Soumitra Kumar] Merge remote-tracking branch 'upstream/master' dde4271 [Soumitra Kumar] Merge remote-tracking branch 'upstream/master' fdd7db3 [Soumitra Kumar] Adding support of initial value for state update. SPARK-3660 : Initial RDD for updateStateByKey transformation
* [SPARK-3530][MLLIB] pipeline and parameters with examplesXiangrui Meng2014-11-122-0/+179
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR adds package "org.apache.spark.ml" with pipeline and parameters, as discussed on the JIRA. This is a joint work of jkbradley etrain shivaram and many others who helped on the design, also with help from marmbrus and liancheng on the Spark SQL side. The design doc can be found at: https://docs.google.com/document/d/1rVwXRjWKfIb-7PI6b86ipytwbUH7irSNLF1_6dLmh8o/edit?usp=sharing **org.apache.spark.ml** This is a new package with new set of ML APIs that address practical machine learning pipelines. (Sorry for taking so long!) It will be an alpha component, so this is definitely not something set in stone. The new set of APIs, inspired by the MLI project from AMPLab and scikit-learn, takes leverage on Spark SQL's schema support and execution plan optimization. It introduces the following components that help build a practical pipeline: 1. Transformer, which transforms a dataset into another 2. Estimator, which fits models to data, where models are transformers 3. Evaluator, which evaluates model output and returns a scalar metric 4. Pipeline, a simple pipeline that consists of transformers and estimators Parameters could be supplied at fit/transform or embedded with components. 1. Param: a strong-typed parameter key with self-contained doc 2. ParamMap: a param -> value map 3. Params: trait for components with parameters For any component that implements `Params`, user can easily check the doc by calling `explainParams`: ~~~ > val lr = new LogisticRegression > lr.explainParams maxIter: max number of iterations (default: 100) regParam: regularization constant (default: 0.1) labelCol: label column name (default: label) featuresCol: features column name (default: features) ~~~ or user can check individual param: ~~~ > lr.maxIter maxIter: max number of iterations (default: 100) ~~~ **Please start with the example code in test suites and under `org.apache.spark.examples.ml`, where I put several examples:** 1. run a simple logistic regression job ~~~ val lr = new LogisticRegression() .setMaxIter(10) .setRegParam(1.0) val model = lr.fit(dataset) model.transform(dataset, model.threshold -> 0.8) // overwrite threshold .select('label, 'score, 'prediction).collect() .foreach(println) ~~~ 2. run logistic regression with cross-validation and grid search using areaUnderROC (default) as the metric ~~~ val lr = new LogisticRegression val lrParamMaps = new ParamGridBuilder() .addGrid(lr.regParam, Array(0.1, 100.0)) .addGrid(lr.maxIter, Array(0, 5)) .build() val eval = new BinaryClassificationEvaluator val cv = new CrossValidator() .setEstimator(lr) .setEstimatorParamMaps(lrParamMaps) .setEvaluator(eval) .setNumFolds(3) val bestModel = cv.fit(dataset) ~~~ 3. run a pipeline that consists of a standard scaler and a logistic regression component ~~~ val scaler = new StandardScaler() .setInputCol("features") .setOutputCol("scaledFeatures") val lr = new LogisticRegression() .setFeaturesCol(scaler.getOutputCol) val pipeline = new Pipeline() .setStages(Array(scaler, lr)) val model = pipeline.fit(dataset) val predictions = model.transform(dataset) .select('label, 'score, 'prediction) .collect() .foreach(println) ~~~ 4. a simple text classification pipeline, which recognizes "spark": ~~~ val training = sparkContext.parallelize(Seq( LabeledDocument(0L, "a b c d e spark", 1.0), LabeledDocument(1L, "b d", 0.0), LabeledDocument(2L, "spark f g h", 1.0), LabeledDocument(3L, "hadoop mapreduce", 0.0))) val tokenizer = new Tokenizer() .setInputCol("text") .setOutputCol("words") val hashingTF = new HashingTF() .setInputCol(tokenizer.getOutputCol) .setOutputCol("features") val lr = new LogisticRegression() .setMaxIter(10) val pipeline = new Pipeline() .setStages(Array(tokenizer, hashingTF, lr)) val model = pipeline.fit(training) val test = sparkContext.parallelize(Seq( Document(4L, "spark i j k"), Document(5L, "l m"), Document(6L, "mapreduce spark"), Document(7L, "apache hadoop"))) model.transform(test) .select('id, 'text, 'prediction, 'score) .collect() .foreach(println) ~~~ Java examples are very similar. I put example code that creates a simple text classification pipeline in Scala and Java, where a simple tokenizer is defined as a transformer outside `org.apache.spark.ml`. **What are missing now and will be added soon:** 1. ~~Runtime check of schemas. So before we touch the data, we will go through the schema and make sure column names and types match the input parameters.~~ 2. ~~Java examples.~~ 3. ~~Store training parameters in trained models.~~ 4. (later) Serialization and Python API. Author: Xiangrui Meng <meng@databricks.com> Closes #3099 from mengxr/SPARK-3530 and squashes the following commits: 2cc93fd [Xiangrui Meng] hide APIs as much as I can 34319ba [Xiangrui Meng] use local instead local[2] for unit tests 2524251 [Xiangrui Meng] rename PipelineStage.transform to transformSchema c9daab4 [Xiangrui Meng] remove mockito version 1397ab5 [Xiangrui Meng] use sqlContext from LocalSparkContext instead of TestSQLContext 6ffc389 [Xiangrui Meng] try to fix unit test a59d8b7 [Xiangrui Meng] doc updates 977fd9d [Xiangrui Meng] add scala ml package object 6d97fe6 [Xiangrui Meng] add AlphaComponent annotation 731f0e4 [Xiangrui Meng] update package doc 0435076 [Xiangrui Meng] remove ;this from setters fa21d9b [Xiangrui Meng] update extends indentation f1091b3 [Xiangrui Meng] typo 228a9f4 [Xiangrui Meng] do not persist before calling binary classification metrics f51cd27 [Xiangrui Meng] rename default to defaultValue b3be094 [Xiangrui Meng] refactor schema transform in lr 8791e8e [Xiangrui Meng] rename copyValues to inheritValues and make it do the right thing 51f1c06 [Xiangrui Meng] remove leftover code in Transformer 494b632 [Xiangrui Meng] compure score once ad678e9 [Xiangrui Meng] more doc for Transformer 4306ed4 [Xiangrui Meng] org imports in text pipeline 6e7c1c7 [Xiangrui Meng] update pipeline 4f9e34f [Xiangrui Meng] more doc for pipeline aa5dbd4 [Xiangrui Meng] fix typo 11be383 [Xiangrui Meng] fix unit tests 3df7952 [Xiangrui Meng] clean up 986593e [Xiangrui Meng] re-org java test suites 2b11211 [Xiangrui Meng] remove external data deps 9fd4933 [Xiangrui Meng] add unit test for pipeline 2a0df46 [Xiangrui Meng] update tests 2d52e4d [Xiangrui Meng] add @AlphaComponent to package-info 27582a4 [Xiangrui Meng] doc changes 73a000b [Xiangrui Meng] add schema transformation layer 6736e87 [Xiangrui Meng] more doc / remove HasMetricName trait 80a8b5e [Xiangrui Meng] rename SimpleTransformer to UnaryTransformer 62ca2bb [Xiangrui Meng] check param parent in set/get 1622349 [Xiangrui Meng] add getModel to PipelineModel a0e0054 [Xiangrui Meng] update StandardScaler to use SimpleTransformer d0faa04 [Xiangrui Meng] remove implicit mapping from ParamMap c7f6921 [Xiangrui Meng] move ParamGridBuilder test to ParamGridBuilderSuite e246f29 [Xiangrui Meng] re-org: 7772430 [Xiangrui Meng] remove modelParams add a simple text classification pipeline b95c408 [Xiangrui Meng] remove implicits add unit tests to params bab3e5b [Xiangrui Meng] update params fe0ee92 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-3530 6e86d98 [Xiangrui Meng] some code clean-up 2d040b3 [Xiangrui Meng] implement setters inside each class, add Params.copyValues [ci skip] fd751fc [Xiangrui Meng] add java-friendly versions of fit and tranform 3f810cd [Xiangrui Meng] use multi-model training api in cv 5b8f413 [Xiangrui Meng] rename model to modelParams 9d2d35d [Xiangrui Meng] test varargs and chain model params f46e927 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-3530 1ef26e0 [Xiangrui Meng] specialize methods/types for Java df293ed [Xiangrui Meng] switch to setter/getter 376db0a [Xiangrui Meng] pipeline and parameters
* Support cross building for Scala 2.11Prashant Sharma2014-11-114-421/+0
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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.
* [SPARK-4047] - Generate runtime warnings for example implementation of PageRankVaradharajan Mukundan2014-11-109-8/+83
| | | | | | | | | | | | | Based on SPARK-2434, this PR generates runtime warnings for example implementations (Python, Scala) of PageRank. Author: Varadharajan Mukundan <srinathsmn@gmail.com> Closes #2894 from varadharajan/SPARK-4047 and squashes the following commits: 5f9406b [Varadharajan Mukundan] [SPARK-4047] - Point users to LogisticRegressionWithSGD and LogisticRegressionWithLBFGS instead of LogisticRegressionModel 252f595 [Varadharajan Mukundan] a. Generate runtime warnings for 05a018b [Varadharajan Mukundan] Fix PageRank implementation's package reference 5c2bf54 [Varadharajan Mukundan] [SPARK-4047] - Generate runtime warnings for example implementation of PageRank
* Update RecoverableNetworkWordCount.scalacomcmipi2014-11-101-2/+3
| | | | | | | | | | | Trying this example, I missed the moment when the checkpoint was iniciated Author: comcmipi <pitonak@fns.uniba.sk> Closes #2735 from comcmipi/patch-1 and squashes the following commits: b6d8001 [comcmipi] Update RecoverableNetworkWordCount.scala 96fe274 [comcmipi] Update RecoverableNetworkWordCount.scala
* SPARK-2548 [STREAMING] JavaRecoverableWordCount is missingSean Owen2014-11-103-17/+159
| | | | | | | | | | | | Here's my attempt to re-port `RecoverableNetworkWordCount` to Java, following the example of its Scala and Java siblings. I fixed a few minor doc/formatting issues along the way I believe. Author: Sean Owen <sowen@cloudera.com> Closes #2564 from srowen/SPARK-2548 and squashes the following commits: 0d0bf29 [Sean Owen] Update checkpoint call as in https://github.com/apache/spark/pull/2735 35f23e3 [Sean Owen] Remove old comment about running in standalone mode 179b3c2 [Sean Owen] Re-port RecoverableNetworkWordCount to Java example, and touch up doc / formatting in related examples
* Update JavaCustomReceiver.javaxiao3212014-11-071-1/+1
| | | | | | | | | | 数组下标越界 Author: xiao321 <1042460381@qq.com> Closes #3153 from xiao321/patch-1 and squashes the following commits: 0ed17b5 [xiao321] Update JavaCustomReceiver.java
* [SPARK-4254] [mllib] MovieLensALS bug fixJoseph K. Bradley2014-11-051-1/+3
| | | | | | | | | | | | Changed code so it does not try to serialize Params. CC: mengxr debasish83 srowen Author: Joseph K. Bradley <joseph@databricks.com> Closes #3116 from jkbradley/als-bugfix and squashes the following commits: e575bd8 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into als-bugfix 9401b16 [Joseph K. Bradley] changed implicitPrefs so it is not serialized to fix MovieLensALS example bug
* [SPARK-4197] [mllib] GradientBoosting API cleanup and examples in Scala, JavaJoseph K. Bradley2014-11-053-19/+317
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ### Summary * Made it easier to construct default Strategy and BoostingStrategy and to set parameters using simple types. * Added Scala and Java examples for GradientBoostedTrees * small cleanups and fixes ### Details GradientBoosting bug fixes (“bug” = bad default options) * Force boostingStrategy.weakLearnerParams.algo = Regression * Force boostingStrategy.weakLearnerParams.impurity = impurity.Variance * Only persist data if not yet persisted (since it causes an error if persisted twice) BoostingStrategy * numEstimators: renamed to numIterations * removed subsamplingRate (duplicated by Strategy) * removed categoricalFeaturesInfo since it belongs with the weak learner params (since boosting can be oblivious to feature type) * Changed algo to var (not val) and added BeanProperty, with overload taking String argument * Added assertValid() method * Updated defaultParams() method and eliminated defaultWeakLearnerParams() since that belongs in Strategy Strategy (for DecisionTree) * Changed algo to var (not val) and added BeanProperty, with overload taking String argument * Added setCategoricalFeaturesInfo method taking Java Map. * Cleaned up assertValid * Changed val’s to def’s since parameters can now be changed. CC: manishamde mengxr codedeft Author: Joseph K. Bradley <joseph@databricks.com> Closes #3094 from jkbradley/gbt-api and squashes the following commits: 7a27e22 [Joseph K. Bradley] scalastyle fix 52013d5 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into gbt-api e9b8410 [Joseph K. Bradley] Summary of changes
* [SPARK-3573][MLLIB] Make MLlib's Vector compatible with SQL's SchemaRDDXiangrui Meng2014-11-032-0/+183
| | | | | | | | | | | | | | | Register MLlib's Vector as a SQL user-defined type (UDT) in both Scala and Python. With this PR, we can easily map a RDD[LabeledPoint] to a SchemaRDD, and then select columns or save to a Parquet file. Examples in Scala/Python are attached. The Scala code was copied from jkbradley. ~~This PR contains the changes from #3068 . I will rebase after #3068 is merged.~~ marmbrus jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #3070 from mengxr/SPARK-3573 and squashes the following commits: 3a0b6e5 [Xiangrui Meng] organize imports 236f0a0 [Xiangrui Meng] register vector as UDT and provide dataset examples
* [SPARK-3161][MLLIB] Adding a node Id caching mechanism for training deci...Sung Chung2014-11-011-2/+23
| | | | | | | | | | ...sion trees. jkbradley mengxr chouqin Please review this. Author: Sung Chung <schung@alpinenow.com> Closes #2868 from codedeft/SPARK-3161 and squashes the following commits: 5f5a156 [Sung Chung] [SPARK-3161][MLLIB] Adding a node Id caching mechanism for training decision trees.
* [SPARK-4142][GraphX] Default numEdgePartitionsJoseph E. Gonzalez2014-11-011-3/+3
| | | | | | | | | | Changing the default number of edge partitions to match spark parallelism. Author: Joseph E. Gonzalez <joseph.e.gonzalez@gmail.com> Closes #3006 from jegonzal/default_partitions and squashes the following commits: a9a5c4f [Joseph E. Gonzalez] Changing the default number of edge partitions to match spark parallelism
* Streaming KMeans [MLLIB][SPARK-3254]freeman2014-10-311-0/+77
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This adds a Streaming KMeans algorithm to MLlib. It uses an update rule that generalizes the mini-batch KMeans update to incorporate a decay factor, which allows past data to be forgotten. The decay factor can be specified explicitly, or via a more intuitive "fractional decay" setting, in units of either data points or batches. The PR includes: - StreamingKMeans algorithm with decay factor settings - Usage example - Additions to documentation clustering page - Unit tests of basic behavior and decay behaviors tdas mengxr rezazadeh Author: freeman <the.freeman.lab@gmail.com> Author: Jeremy Freeman <the.freeman.lab@gmail.com> Author: Xiangrui Meng <meng@databricks.com> Closes #2942 from freeman-lab/streaming-kmeans and squashes the following commits: b2e5b4a [freeman] Fixes to docs / examples 078617c [Jeremy Freeman] Merge pull request #1 from mengxr/SPARK-3254 2e682c0 [Xiangrui Meng] take discount on previous weights; use BLAS; detect dying clusters 0411bf5 [freeman] Change decay parameterization 9f7aea9 [freeman] Style fixes 374a706 [freeman] Formatting ad9bdc2 [freeman] Use labeled points and predictOnValues in examples 77dbd3f [freeman] Make initialization check an assertion 9cfc301 [freeman] Make random seed an argument 44050a9 [freeman] Simpler constructor c7050d5 [freeman] Fix spacing 2899623 [freeman] Use pattern matching for clarity a4a316b [freeman] Use collect 1472ec5 [freeman] Doc formatting ea22ec8 [freeman] Fix imports 2086bdc [freeman] Log cluster center updates ea9877c [freeman] More documentation 9facbe3 [freeman] Bug fix 5db7074 [freeman] Example usage for StreamingKMeans f33684b [freeman] Add explanation and example to docs b5b5f8d [freeman] Add better documentation a0fd790 [freeman] Merge remote-tracking branch 'upstream/master' into streaming-kmeans 9fd9c15 [freeman] Merge remote-tracking branch 'upstream/master' into streaming-kmeans b93350f [freeman] Streaming KMeans with decay
* [MLLIB] SPARK-1547: Add Gradient Boosting to MLlibManish Amde2014-10-311-2/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Given the popular demand for gradient boosting and AdaBoost in MLlib, I am creating a WIP branch for early feedback on gradient boosting with AdaBoost to follow soon after this PR is accepted. This is based on work done along with hirakendu that was pending due to decision tree optimizations and random forests work. Ideally, boosting algorithms should work with any base learners. This will soon be possible once the MLlib API is finalized -- we want to ensure we use a consistent interface for the underlying base learners. In the meantime, this PR uses decision trees as base learners for the gradient boosting algorithm. The current PR allows "pluggable" loss functions and provides least squares error and least absolute error by default. Here is the task list: - [x] Gradient boosting support - [x] Pluggable loss functions - [x] Stochastic gradient boosting support – Re-use the BaggedPoint approach used for RandomForest. - [x] Binary classification support - [x] Support configurable checkpointing – This approach will avoid long lineage chains. - [x] Create classification and regression APIs - [x] Weighted Ensemble Model -- created a WeightedEnsembleModel class that can be used by ensemble algorithms such as random forests and boosting. - [x] Unit Tests Future work: + Multi-class classification is currently not supported by this PR since it requires discussion on the best way to support "deviance" as a loss function. + BaggedRDD caching -- Avoid repeating feature to bin mapping for each tree estimator after standard API work is completed. cc: jkbradley hirakendu mengxr etrain atalwalkar chouqin Author: Manish Amde <manish9ue@gmail.com> Author: manishamde <manish9ue@gmail.com> Closes #2607 from manishamde/gbt and squashes the following commits: 991c7b5 [Manish Amde] public api ff2a796 [Manish Amde] addressing comments b4c1318 [Manish Amde] removing spaces 8476b6b [Manish Amde] fixing line length 0183cb9 [Manish Amde] fixed naming and formatting issues 1c40c33 [Manish Amde] add newline, removed spaces e33ab61 [Manish Amde] minor comment eadbf09 [Manish Amde] parameter renaming 035a2ed [Manish Amde] jkbradley formatting suggestions 9f7359d [Manish Amde] simplified gbt logic and added more tests 49ba107 [Manish Amde] merged from master eff21fe [Manish Amde] Added gradient boosting tests 3fd0528 [Manish Amde] moved helper methods to new class a32a5ab [Manish Amde] added test for subsampling without replacement 781542a [Manish Amde] added support for fractional subsampling with replacement 3a18cc1 [Manish Amde] cleaned up api for conversion to bagged point and moved tests to it's own test suite 0e81906 [Manish Amde] improving caching unpersisting logic d971f73 [Manish Amde] moved RF code to use WeightedEnsembleModel class fee06d3 [Manish Amde] added weighted ensemble model 1b01943 [Manish Amde] add weights for base learners 9bc6e74 [Manish Amde] adding random seed as parameter d2c8323 [Manish Amde] Merge branch 'master' into gbt 2ae97b7 [Manish Amde] added documentation for the loss classes 9366b8f [Manish Amde] minor: using numTrees instead of trees.size 3b43896 [Manish Amde] added learning rate for prediction 9b2e35e [Manish Amde] Merge branch 'master' into gbt 6a11c02 [manishamde] fixing formatting 823691b [Manish Amde] fixing RF test 1f47941 [Manish Amde] changing access modifier 5b67102 [Manish Amde] shortened parameter list 5ab3796 [Manish Amde] minor reformatting 9155a9d [Manish Amde] consolidated boosting configuration and added public API 631baea [Manish Amde] Merge branch 'master' into gbt 2cb1258 [Manish Amde] public API support 3b8ffc0 [Manish Amde] added documentation 8e10c63 [Manish Amde] modified unpersist strategy f62bc48 [Manish Amde] added unpersist bdca43a [Manish Amde] added timing parameters 2fbc9c7 [Manish Amde] fixing binomial classification prediction 6dd4dd8 [Manish Amde] added support for log loss 9af0231 [Manish Amde] classification attempt 62cc000 [Manish Amde] basic checkpointing 4784091 [Manish Amde] formatting 78ed452 [Manish Amde] added newline and fixed if statement 3973dd1 [Manish Amde] minor indicating subsample is double during comparison aa8fae7 [Manish Amde] minor refactoring 1a8031c [Manish Amde] sampling with replacement f1c9ef7 [Manish Amde] Merge branch 'master' into gbt cdceeef [Manish Amde] added documentation 6251fd5 [Manish Amde] modified method name 5538521 [Manish Amde] disable checkpointing for now 0ae1c0a [Manish Amde] basic gradient boosting code from earlier branches
* [SPARK-3838][examples][mllib][python] Word2Vec example in pythonAnant2014-10-311-0/+50
| | | | | | | | | | | | | | | | | | | | This pull request refers to issue: https://issues.apache.org/jira/browse/SPARK-3838 Python example for word2vec mengxr Author: Anant <anant.asty@gmail.com> Closes #2952 from anantasty/SPARK-3838 and squashes the following commits: 87bd723 [Anant] remove stop line 4bd439e [Anant] Changes as per code review. Fized error in word2vec python example, simplified example in docs. 3d3c9ee [Anant] Added empty line after python imports 0c90c31 [Anant] Fixed erroneous code. I was still treating each line to be a single word instead of 16 words ee4f5f6 [Anant] Fixes from code review comments c637bcf [Anant] Added word2vec python example to docs 269f31f [Anant] added example in docs c015b14 [Anant] Added python example for word2vec
* SPARK-4022 [CORE] [MLLIB] Replace colt dependency (LGPL) with commons-mathSean Owen2014-10-272-96/+79
| | | | | | | | | | | | | | | This change replaces usages of colt with commons-math3 equivalents, and makes some minor necessary adjustments to related code and tests to match. Author: Sean Owen <sowen@cloudera.com> Closes #2928 from srowen/SPARK-4022 and squashes the following commits: 61a232f [Sean Owen] Fix failure due to different sampling in JavaAPISuite.sample() 16d66b8 [Sean Owen] Simplify seeding with call to reseedRandomGenerator a1a78e0 [Sean Owen] Use Well19937c 31c7641 [Sean Owen] Fix Python Poisson test by choosing a different seed; about 88% of seeds should work but 1 didn't, it seems 5c9c67f [Sean Owen] Additional test fixes from review d8f88e0 [Sean Owen] Replace colt with commons-math3. Some tests do not pass yet.
* Just fixing comment that shows usageanant asthana2014-10-261-1/+1
| | | | | | | | Author: anant asthana <anant.asty@gmail.com> Closes #2948 from anantasty/patch-1 and squashes the following commits: d8fea0b [anant asthana] Just fixing comment that shows usage
* [SPARK-2321] Stable pull-based progress / status APIJosh Rosen2014-10-251-0/+70
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This pull request is a first step towards the implementation of a stable, pull-based progress / status API for Spark (see [SPARK-2321](https://issues.apache.org/jira/browse/SPARK-2321)). For now, I'd like to discuss the basic implementation, API names, and overall interface design. Once we arrive at a good design, I'll go back and add additional methods to expose more information via these API. #### Design goals: - Pull-based API - Usable from Java / Scala / Python (eventually, likely with a wrapper) - Can be extended to expose more information without introducing binary incompatibilities. - Returns immutable objects. - Don't leak any implementation details, preserving our freedom to change the implementation. #### Implementation: - Add public methods (`getJobInfo`, `getStageInfo`) to SparkContext to allow status / progress information to be retrieved. - Add public interfaces (`SparkJobInfo`, `SparkStageInfo`) for our API return values. These interfaces consist entirely of Java-style getter methods. The interfaces are currently implemented in Java. I decided to explicitly separate the interface from its implementation (`SparkJobInfoImpl`, `SparkStageInfoImpl`) in order to prevent users from constructing these responses themselves. -Allow an existing JobProgressListener to be used when constructing a live SparkUI. This allows us to re-use this listeners in the implementation of this status API. There are a few reasons why this listener re-use makes sense: - The status API and web UI are guaranteed to show consistent information. - These listeners are already well-tested. - The same garbage-collection / information retention configurations can apply to both this API and the web UI. - Extend JobProgressListener to maintain `jobId -> Job` and `stageId -> Stage` mappings. The progress API methods are implemented in a separate trait that's mixed into SparkContext. This helps to avoid SparkContext.scala from becoming larger and more difficult to read. Author: Josh Rosen <joshrosen@databricks.com> Author: Josh Rosen <joshrosen@apache.org> Closes #2696 from JoshRosen/progress-reporting-api and squashes the following commits: e6aa78d [Josh Rosen] Add tests. b585c16 [Josh Rosen] Accept SparkListenerBus instead of more specific subclasses. c96402d [Josh Rosen] Address review comments. 2707f98 [Josh Rosen] Expose current stage attempt id c28ba76 [Josh Rosen] Update demo code: 646ff1d [Josh Rosen] Document spark.ui.retainedJobs. 7f47d6d [Josh Rosen] Clean up SparkUI constructors, per Andrew's feedback. b77b3d8 [Josh Rosen] Merge remote-tracking branch 'origin/master' into progress-reporting-api 787444c [Josh Rosen] Move status API methods into trait that can be mixed into SparkContext. f9a9a00 [Josh Rosen] More review comments: 3dc79af [Josh Rosen] Remove creation of unused listeners in SparkContext. 249ca16 [Josh Rosen] Address several review comments: da5648e [Josh Rosen] Add example of basic progress reporting in Java. 7319ffd [Josh Rosen] Add getJobIdsForGroup() and num*Tasks() methods. cc568e5 [Josh Rosen] Add note explaining that interfaces should not be implemented outside of Spark. 6e840d4 [Josh Rosen] Remove getter-style names and "consistent snapshot" semantics: 08cbec9 [Josh Rosen] Begin to sketch the interfaces for a stable, public status API. ac2d13a [Josh Rosen] Add jobId->stage, stageId->stage mappings in JobProgressListener 24de263 [Josh Rosen] Create UI listeners in SparkContext instead of in Tabs:
* [GraphX] Modify option name according to example doc in SynthBenchmarkGrace2014-10-241-1/+1
| | | | | | | | | | Now graphx.SynthBenchmark example has an option of iteration number named as "niter". However, in its document, it is named as "niters". The mismatch between the implementation and document causes certain IllegalArgumentException while trying that example. Author: Grace <jie.huang@intel.com> Closes #2888 from GraceH/synthbenchmark and squashes the following commits: f101ee1 [Grace] Modify option name according to example doc
* [SPARK-4055][MLlib] Inconsistent spelling 'MLlib' and 'MLLib'Kousuke Saruta2014-10-232-2/+2
| | | | | | | | | | Thare are some inconsistent spellings 'MLlib' and 'MLLib' in some documents and source codes. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #2903 from sarutak/SPARK-4055 and squashes the following commits: b031640 [Kousuke Saruta] Fixed inconsistent spelling "MLlib and MLLib"
* Update JavaCustomReceiver.javaKarthik2014-10-221-1/+1
| | | | | | | | | | Changed the usage string to correctly reflect the file name. Author: Karthik <karthik.gomadam@gmail.com> Closes #2699 from namelessnerd/patch-1 and squashes the following commits: 8570e33 [Karthik] Update JavaCustomReceiver.java
* SPARK-1813. Add a utility to SparkConf that makes using Kryo really easySandy Ryza2014-10-215-37/+6
| | | | | | | | | | | | Author: Sandy Ryza <sandy@cloudera.com> Closes #789 from sryza/sandy-spark-1813 and squashes the following commits: 48b05e9 [Sandy Ryza] Simplify b824932 [Sandy Ryza] Allow both spark.kryo.classesToRegister and spark.kryo.registrator at the same time 6a15bb7 [Sandy Ryza] Small fix a2278c0 [Sandy Ryza] Respond to review comments 6ef592e [Sandy Ryza] SPARK-1813. Add a utility to SparkConf that makes using Kryo really easy
* [SPARK-3952] [Streaming] [PySpark] add Python examples in Streaming ↵Davies Liu2014-10-181-0/+80
| | | | | | | | | | | | | | | | | | Programming Guide Having Python examples in Streaming Programming Guide. Also add RecoverableNetworkWordCount example. Author: Davies Liu <davies.liu@gmail.com> Author: Davies Liu <davies@databricks.com> Closes #2808 from davies/pyguide and squashes the following commits: 8d4bec4 [Davies Liu] update readme 26a7e37 [Davies Liu] fix format 3821c4d [Davies Liu] address comments, add missing file 7e4bb8a [Davies Liu] add Python examples in Streaming Programming Guide
* [SPARK-3934] [SPARK-3918] [mllib] Bug fixes for RandomForest, DecisionTreeJoseph K. Bradley2014-10-171-1/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | SPARK-3934: When run with a mix of unordered categorical and continuous features, on multiclass classification, RandomForest fails. The bug is in the sanity checks in getFeatureOffset and getLeftRightFeatureOffsets, which use the wrong indices for checking whether features are unordered. Fix: Remove the sanity checks since they are not really needed, and since they would require DTStatsAggregator to keep track of an extra set of indices (for the feature subset). Added test to RandomForestSuite which failed with old version but now works. SPARK-3918: Added baggedInput.unpersist at end of training. Also: * I removed DTStatsAggregator.isUnordered since it is no longer used. * DecisionTreeMetadata: Added logWarning when maxBins is automatically reduced. * Updated DecisionTreeRunner to explicitly fix the test data to have the same number of features as the training data. This is a temporary fix which should eventually be replaced by pre-indexing both datasets. * RandomForestModel: Updated toString to print total number of nodes in forest. * Changed Predict class to be public DeveloperApi. This was necessary to allow users to create their own trees by hand (for testing). CC: mengxr manishamde chouqin codedeft Just notifying you of these small bug fixes. Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #2785 from jkbradley/dtrunner-update and squashes the following commits: 9132321 [Joseph K. Bradley] merged with master, fixed imports 9dbd000 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dtrunner-update e116473 [Joseph K. Bradley] Changed Predict class to be public DeveloperApi. f502e65 [Joseph K. Bradley] bug fix for SPARK-3934 7f3d60f [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dtrunner-update ba567ab [Joseph K. Bradley] Changed DTRunner to load test data using same number of features as in training data. 4e88c1f [Joseph K. Bradley] changed RF toString to print total number of nodes
* [SPARK-3985] [Examples] fix file path using os.path.joinDaoyuan Wang2014-10-171-1/+1
| | | | | | | | Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #2834 from adrian-wang/sqlpypath and squashes the following commits: da7aa95 [Daoyuan Wang] fix file path using path.join
* [SQL]typo in HiveFromSparkKun Li2014-10-161-1/+1
| | | | | | | | Author: Kun Li <jacky.likun@gmail.com> Closes #2809 from jackylk/patch-1 and squashes the following commits: 46c926b [Kun Li] typo in HiveFromSpark
* SPARK-3716 [GraphX] Update Analytics.scala for partitionStrategy assignmentNamelessAnalyst2014-10-121-15/+4
| | | | | | | | | | | | | Previously, when the val partitionStrategy was created it called a function in the Analytics object which was a copy of the PartitionStrategy.fromString() method. This function has been removed, and the assignment of partitionStrategy now uses the PartitionStrategy.fromString method instead. In this way, it better matches the declarations of edge/vertex StorageLevel variables. Author: NamelessAnalyst <NamelessAnalyst@users.noreply.github.com> Closes #2569 from NamelessAnalyst/branch-1.1 and squashes the following commits: c24ff51 [NamelessAnalyst] Update Analytics.scala (cherry picked from commit 5a21e3e7e97f135c81c664098a723434b910f09d) Signed-off-by: Ankur Dave <ankurdave@gmail.com>
* [SPARK-2377] Python API for Streaminggiwa2014-10-123-0/+154
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This patch brings Python API for Streaming. This patch is based on work from @giwa Author: giwa <ugw.gi.world@gmail.com> Author: Ken Takagiwa <ken@Kens-MacBook-Pro.local> Author: Davies Liu <davies.liu@gmail.com> Author: Ken Takagiwa <ken@kens-mbp.gateway.sonic.net> Author: Tathagata Das <tathagata.das1565@gmail.com> Author: Ken <ugw.gi.world@gmail.com> Author: Ken Takagiwa <ugw.gi.world@gmail.com> Author: Matthew Farrellee <matt@redhat.com> Closes #2538 from davies/streaming and squashes the following commits: 64561e4 [Davies Liu] fix tests 331ecce [Davies Liu] fix example 3e2492b [Davies Liu] change updateStateByKey() to easy API 182be73 [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 02d0575 [Davies Liu] add wrapper for foreachRDD() bebeb4a [Davies Liu] address all comments 6db00da [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 8380064 [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 52c535b [Davies Liu] remove fix for sum() e108ec1 [Davies Liu] address comments 37fe06f [Davies Liu] use random port for callback server d05871e [Davies Liu] remove reuse of PythonRDD be5e5ff [Davies Liu] merge branch of env, make tests stable. 8071541 [Davies Liu] Merge branch 'env' into streaming c7bbbce [Davies Liu] fix sphinx docs 6bb9d91 [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 4d0ea8b [Davies Liu] clear reference of SparkEnv after stop 54bd92b [Davies Liu] improve tests c2b31cb [Davies Liu] Merge branch 'master' of github.com:apache/spark into streaming 7a88f9f [Davies Liu] rollback RDD.setContext(), use textFileStream() to test checkpointing bd8a4c2 [Davies Liu] fix scala style 7797c70 [Davies Liu] refactor ff88bec [Davies Liu] rename RDDFunction to TransformFunction d328aca [Davies Liu] fix serializer in queueStream 6f0da2f [Davies Liu] recover from checkpoint fa7261b [Davies Liu] refactor a13ff34 [Davies Liu] address comments 8466916 [Davies Liu] support checkpoint 9a16bd1 [Davies Liu] change number of partitions during tests b98d63f [Davies Liu] change private[spark] to private[python] eed6e2a [Davies Liu] rollback not needed changes e00136b [Davies Liu] address comments 069a94c [Davies Liu] fix the number of partitions during window() 338580a [Davies Liu] change _first(), _take(), _collect() as private API 19797f9 [Davies Liu] clean up 6ebceca [Davies Liu] add more tests c40c52d [Davies Liu] change first(), take(n) to has the same behavior as RDD 98ac6c2 [Davies Liu] support ssc.transform() b983f0f [Davies Liu] address comments 847f9b9 [Davies Liu] add more docs, add first(), take() e059ca2 [Davies Liu] move check of window into Python fce0ef5 [Davies Liu] rafactor of foreachRDD() 7001b51 [Davies Liu] refactor of queueStream() 26ea396 [Davies Liu] refactor 74df565 [Davies Liu] fix print and docs b32774c [Davies Liu] move java_import into streaming 604323f [Davies Liu] enable streaming tests c499ba0 [Davies Liu] remove Time and Duration 3f0fb4b [Davies Liu] refactor fix tests c28f520 [Davies Liu] support updateStateByKey d357b70 [Davies Liu] support windowed dstream bd13026 [Davies Liu] fix examples eec401e [Davies Liu] refactor, combine TransformedRDD, fix reuse PythonRDD, fix union 9a57685 [Davies Liu] fix python style bd27874 [Davies Liu] fix scala style 7339be0 [Davies Liu] delete tests 7f53086 [Davies Liu] support transform(), refactor and cleanup df098fc [Davies Liu] Merge branch 'master' into giwa 550dfd9 [giwa] WIP fixing 1.1 merge 5cdb6fa [giwa] changed for SCCallSiteSync e685853 [giwa] meged with rebased 1.1 branch 2d32a74 [giwa] added some StreamingContextTestSuite 4a59e1e [giwa] WIP:added more test for StreamingContext 8ffdbf1 [giwa] added atexit to handle callback server d5f5fcb [giwa] added comment for StreamingContext.sparkContext 63c881a [giwa] added StreamingContext.sparkContext d39f102 [giwa] added StreamingContext.remember d542743 [giwa] clean up code 2fdf0de [Matthew Farrellee] Fix scalastyle errors c0a06bc [giwa] delete not implemented functions f385976 [giwa] delete inproper comments b0f2015 [giwa] added comment in dstream._test_output bebb3f3 [giwa] remove the last brank line fbed8da [giwa] revert pom.xml 8ed93af [giwa] fixed explanaiton 066ba90 [giwa] revert pom.xml fa4af88 [giwa] remove duplicated import 6ae3caa [giwa] revert pom.xml 7dc7391 [giwa] fixed typo 62dc7a3 [giwa] clean up exmples f04882c [giwa] clen up examples b171ec3 [giwa] fixed pep8 violation f198d14 [giwa] clean up code 3166d31 [giwa] clean up c00e091 [giwa] change test case not to use awaitTermination e80647e [giwa] adopted the latest compression way of python command 58e41ff [giwa] merge with master 455e5af [giwa] removed wasted print in DStream af336b7 [giwa] add comments ddd4ee1 [giwa] added TODO coments 99ce042 [giwa] added saveAsTextFiles and saveAsPickledFiles 2a06cdb [giwa] remove waste duplicated code c5ecfc1 [giwa] basic function test cases are passed 8dcda84 [giwa] all tests are passed if numSlice is 2 and the numver of each input is over 4 795b2cd [giwa] broke something 1e126bf [giwa] WIP: solved partitioned and None is not recognized f67cf57 [giwa] added mapValues and flatMapVaules WIP for glom and mapPartitions test 953deb0 [giwa] edited the comment to add more precise description af610d3 [giwa] removed unnesessary changes c1d546e [giwa] fixed PEP-008 violation 99410be [giwa] delete waste file b3b0362 [giwa] added basic operation test cases 9cde7c9 [giwa] WIP added test case bd3ba53 [giwa] WIP 5c04a5f [giwa] WIP: added PythonTestInputStream 019ef38 [giwa] WIP 1934726 [giwa] update comment 376e3ac [giwa] WIP 932372a [giwa] clean up dstream.py 0b09cff [giwa] added stop in StreamingContext 92e333e [giwa] implemented reduce and count function in Dstream 1b83354 [giwa] Removed the waste line 88f7506 [Ken Takagiwa] Kill py4j callback server properly 54b5358 [Ken Takagiwa] tried to restart callback server 4f07163 [Tathagata Das] Implemented DStream.foreachRDD in the Python API using Py4J callback server. fe02547 [Ken Takagiwa] remove waste file 2ad7bd3 [Ken Takagiwa] clean up codes 6197a11 [Ken Takagiwa] clean up code eb4bf48 [Ken Takagiwa] fix map function 98c2a00 [Ken Takagiwa] added count operation but this implementation need double check 58591d2 [Ken Takagiwa] reduceByKey is working 0df7111 [Ken Takagiwa] delete old file f485b1d [Ken Takagiwa] fied input of socketTextDStream dd6de81 [Ken Takagiwa] initial commit for socketTextStream 247fd74 [Ken Takagiwa] modified the code base on comment in https://github.com/tdas/spark/pull/10 4bcb318 [Ken Takagiwa] implementing transform function in Python 38adf95 [Ken Takagiwa] added reducedByKey not working yet 66fcfff [Ken Takagiwa] modify dstream.py to fix indent error 41886c2 [Ken Takagiwa] comment PythonDStream.PairwiseDStream 0b99bec [Ken] initial commit for pySparkStreaming c214199 [giwa] added testcase for combineByKey 5625bdc [giwa] added gorupByKey testcase 10ab87b [giwa] added sparkContext as input parameter in StreamingContext 10b5b04 [giwa] removed wasted print in DStream e54f986 [giwa] add comments 16aa64f [giwa] added TODO coments 74535d4 [giwa] added saveAsTextFiles and saveAsPickledFiles f76c182 [giwa] remove waste duplicated code 18c8723 [giwa] modified streaming test case to add coment 13fb44c [giwa] basic function test cases are passed 3000b2b [giwa] all tests are passed if numSlice is 2 and the numver of each input is over 4 ff14070 [giwa] broke something bcdec33 [giwa] WIP: solved partitioned and None is not recognized 270a9e1 [giwa] added mapValues and flatMapVaules WIP for glom and mapPartitions test bb10956 [giwa] edited the comment to add more precise description 253a863 [giwa] removed unnesessary changes 3d37822 [giwa] fixed PEP-008 violation f21cab3 [giwa] delete waste file 878bad7 [giwa] added basic operation test cases ce2acd2 [giwa] WIP added test case 9ad6855 [giwa] WIP 1df77f5 [giwa] WIP: added PythonTestInputStream 1523b66 [giwa] WIP 8a0fbbc [giwa] update comment fe648e3 [giwa] WIP 29c2bc5 [giwa] initial commit for testcase 4d40d63 [giwa] clean up dstream.py c462bb3 [giwa] added stop in StreamingContext d2c01ba [giwa] clean up examples 3c45cd2 [giwa] implemented reduce and count function in Dstream b349649 [giwa] Removed the waste line 3b498e1 [Ken Takagiwa] Kill py4j callback server properly 84a9668 [Ken Takagiwa] tried to restart callback server 9ab8952 [Tathagata Das] Added extra line. 05e991b [Tathagata Das] Added missing file b1d2a30 [Tathagata Das] Implemented DStream.foreachRDD in the Python API using Py4J callback server. 678e854 [Ken Takagiwa] remove waste file 0a8bbbb [Ken Takagiwa] clean up codes bab31c1 [Ken Takagiwa] clean up code 72b9738 [Ken Takagiwa] fix map function d3ee86a [Ken Takagiwa] added count operation but this implementation need double check 15feea9 [Ken Takagiwa] edit python sparkstreaming example 6f98e50 [Ken Takagiwa] reduceByKey is working c455c8d [Ken Takagiwa] added reducedByKey not working yet dc6995d [Ken Takagiwa] delete old file b31446a [Ken Takagiwa] fixed typo of network_workdcount.py ccfd214 [Ken Takagiwa] added doctest for pyspark.streaming.duration 0d1b954 [Ken Takagiwa] fied input of socketTextDStream f746109 [Ken Takagiwa] initial commit for socketTextStream bb7ccf3 [Ken Takagiwa] remove unused import in python 224fc5e [Ken Takagiwa] add empty line d2099d8 [Ken Takagiwa] sorted the import following Spark coding convention 5bac7ec [Ken Takagiwa] revert streaming/pom.xml e1df940 [Ken Takagiwa] revert pom.xml 494cae5 [Ken Takagiwa] remove not implemented DStream functions in python 17a74c6 [Ken Takagiwa] modified the code base on comment in https://github.com/tdas/spark/pull/10 1a0f065 [Ken Takagiwa] implementing transform function in Python d7b4d6f [Ken Takagiwa] added reducedByKey not working yet 87438e2 [Ken Takagiwa] modify dstream.py to fix indent error b406252 [Ken Takagiwa] comment PythonDStream.PairwiseDStream 454981d [Ken] initial commit for pySparkStreaming 150b94c [giwa] added some StreamingContextTestSuite f7bc8f9 [giwa] WIP:added more test for StreamingContext ee50c5a [giwa] added atexit to handle callback server fdc9125 [giwa] added comment for StreamingContext.sparkContext f5bfb70 [giwa] added StreamingContext.sparkContext da09768 [giwa] added StreamingContext.remember d68b568 [giwa] clean up code 4afa390 [giwa] clean up code 1fd6bc7 [Ken Takagiwa] Merge pull request #2 from mattf/giwa-master d9d59fe [Matthew Farrellee] Fix scalastyle errors 67473a9 [giwa] delete not implemented functions c97377c [giwa] delete inproper comments 2ea769e [giwa] added comment in dstream._test_output 3b27bd4 [giwa] remove the last brank line acfcaeb [giwa] revert pom.xml 93f7637 [giwa] fixed explanaiton 50fd6f9 [giwa] revert pom.xml 4f82c89 [giwa] remove duplicated import 9d1de23 [giwa] revert pom.xml 7339df2 [giwa] fixed typo 9c85e48 [giwa] clean up exmples 24f95db [giwa] clen up examples 0d30109 [giwa] fixed pep8 violation b7dab85 [giwa] improve test case 583e66d [giwa] move tests for streaming inside streaming directory 1d84142 [giwa] remove unimplement test f0ea311 [giwa] clean up code 171edeb [giwa] clean up 4dedd2d [giwa] change test case not to use awaitTermination 268a6a5 [giwa] Changed awaitTermination not to call awaitTermincation in Scala. Just use time.sleep instread 09a28bf [giwa] improve testcases 58150f5 [giwa] Changed the test case to focus the test operation 199e37f [giwa] adopted the latest compression way of python command 185fdbf [giwa] merge with master f1798c4 [giwa] merge with master e70f706 [giwa] added testcase for combineByKey e162822 [giwa] added gorupByKey testcase 97742fe [giwa] added sparkContext as input parameter in StreamingContext 14d4c0e [giwa] removed wasted print in DStream 6d8190a [giwa] add comments 4aa99e4 [giwa] added TODO coments e9fab72 [giwa] added saveAsTextFiles and saveAsPickledFiles 94f2b65 [giwa] remove waste duplicated code 580fbc2 [giwa] modified streaming test case to add coment 99e4bb3 [giwa] basic function test cases are passed 7051a84 [giwa] all tests are passed if numSlice is 2 and the numver of each input is over 4 35933e1 [giwa] broke something 9767712 [giwa] WIP: solved partitioned and None is not recognized 4f2d7e6 [giwa] added mapValues and flatMapVaules WIP for glom and mapPartitions test 33c0f94d [giwa] edited the comment to add more precise description 774f18d [giwa] removed unnesessary changes 3a671cc [giwa] remove export PYSPARK_PYTHON in spark submit 8efa266 [giwa] fixed PEP-008 violation fa75d71 [giwa] delete waste file 7f96294 [giwa] added basic operation test cases 3dda31a [giwa] WIP added test case 1f68b78 [giwa] WIP c05922c [giwa] WIP: added PythonTestInputStream 1fd12ae [giwa] WIP c880a33 [giwa] update comment 5d22c92 [giwa] WIP ea4b06b [giwa] initial commit for testcase 5a9b525 [giwa] clean up dstream.py 79c5809 [giwa] added stop in StreamingContext 189dcea [giwa] clean up examples b8d7d24 [giwa] implemented reduce and count function in Dstream b6468e6 [giwa] Removed the waste line b47b5fd [Ken Takagiwa] Kill py4j callback server properly 19ddcdd [Ken Takagiwa] tried to restart callback server c9fc124 [Tathagata Das] Added extra line. 4caae3f [Tathagata Das] Added missing file 4eff053 [Tathagata Das] Implemented DStream.foreachRDD in the Python API using Py4J callback server. 5e822d4 [Ken Takagiwa] remove waste file aeaf8a5 [Ken Takagiwa] clean up codes 9fa249b [Ken Takagiwa] clean up code 05459c6 [Ken Takagiwa] fix map function a9f4ecb [Ken Takagiwa] added count operation but this implementation need double check d1ee6ca [Ken Takagiwa] edit python sparkstreaming example 0b8b7d0 [Ken Takagiwa] reduceByKey is working d25d5cf [Ken Takagiwa] added reducedByKey not working yet 7f7c5d1 [Ken Takagiwa] delete old file 967dc26 [Ken Takagiwa] fixed typo of network_workdcount.py 57fb740 [Ken Takagiwa] added doctest for pyspark.streaming.duration 4b69fb1 [Ken Takagiwa] fied input of socketTextDStream 02f618a [Ken Takagiwa] initial commit for socketTextStream 4ce4058 [Ken Takagiwa] remove unused import in python 856d98e [Ken Takagiwa] add empty line 490e338 [Ken Takagiwa] sorted the import following Spark coding convention 5594bd4 [Ken Takagiwa] revert pom.xml 2adca84 [Ken Takagiwa] remove not implemented DStream functions in python e551e13 [Ken Takagiwa] add coment for hack why PYSPARK_PYTHON is needed in spark-submit 3758175 [Ken Takagiwa] add coment for hack why PYSPARK_PYTHON is needed in spark-submit c5518b4 [Ken Takagiwa] modified the code base on comment in https://github.com/tdas/spark/pull/10 dcf243f [Ken Takagiwa] implementing transform function in Python 9af03f4 [Ken Takagiwa] added reducedByKey not working yet 6e0d9c7 [Ken Takagiwa] modify dstream.py to fix indent error e497b9b [Ken Takagiwa] comment PythonDStream.PairwiseDStream 5c3a683 [Ken] initial commit for pySparkStreaming 665bfdb [giwa] added testcase for combineByKey a3d2379 [giwa] added gorupByKey testcase 636090a [giwa] added sparkContext as input parameter in StreamingContext e7ebb08 [giwa] removed wasted print in DStream d8b593b [giwa] add comments ea9c873 [giwa] added TODO coments 89ae38a [giwa] added saveAsTextFiles and saveAsPickledFiles e3033fc [giwa] remove waste duplicated code a14c7e1 [giwa] modified streaming test case to add coment 536def4 [giwa] basic function test cases are passed 2112638 [giwa] all tests are passed if numSlice is 2 and the numver of each input is over 4 080541a [giwa] broke something 0704b86 [giwa] WIP: solved partitioned and None is not recognized 90a6484 [giwa] added mapValues and flatMapVaules WIP for glom and mapPartitions test a65f302 [giwa] edited the comment to add more precise description bdde697 [giwa] removed unnesessary changes e8c7bfc [giwa] remove export PYSPARK_PYTHON in spark submit 3334169 [giwa] fixed PEP-008 violation db0a303 [giwa] delete waste file 2cfd3a0 [giwa] added basic operation test cases 90ae568 [giwa] WIP added test case a120d07 [giwa] WIP f671cdb [giwa] WIP: added PythonTestInputStream 56fae45 [giwa] WIP e35e101 [giwa] Merge branch 'master' into testcase ba5112d [giwa] update comment 28aa56d [giwa] WIP fb08559 [giwa] initial commit for testcase a613b85 [giwa] clean up dstream.py c40c0ef [giwa] added stop in StreamingContext 31e4260 [giwa] clean up examples d2127d6 [giwa] implemented reduce and count function in Dstream 48f7746 [giwa] Removed the waste line 0f83eaa [Ken Takagiwa] delete py4j 0.8.1 1679808 [Ken Takagiwa] Kill py4j callback server properly f96cd4e [Ken Takagiwa] tried to restart callback server fe86198 [Ken Takagiwa] add py4j 0.8.2.1 but server is not launched 1064fe0 [Ken Takagiwa] Merge branch 'master' of https://github.com/giwa/spark 28c6620 [Ken Takagiwa] Implemented DStream.foreachRDD in the Python API using Py4J callback server 85b0fe1 [Ken Takagiwa] Merge pull request #1 from tdas/python-foreach 54e2e8c [Tathagata Das] Added extra line. e185338 [Tathagata Das] Added missing file a778d4b [Tathagata Das] Implemented DStream.foreachRDD in the Python API using Py4J callback server. cc2092b [Ken Takagiwa] remove waste file d042ac6 [Ken Takagiwa] clean up codes 84a021f [Ken Takagiwa] clean up code bd20e17 [Ken Takagiwa] fix map function d01a125 [Ken Takagiwa] added count operation but this implementation need double check 7d05109 [Ken Takagiwa] merge with remote branch ae464e0 [Ken Takagiwa] edit python sparkstreaming example 04af046 [Ken Takagiwa] reduceByKey is working 3b6d7b0 [Ken Takagiwa] implementing transform function in Python 571d52d [Ken Takagiwa] added reducedByKey not working yet 5720979 [Ken Takagiwa] delete old file e604fcb [Ken Takagiwa] fixed typo of network_workdcount.py 4b7c08b [Ken Takagiwa] Merge branch 'master' of https://github.com/giwa/spark ce7d426 [Ken Takagiwa] added doctest for pyspark.streaming.duration a8c9fd5 [Ken Takagiwa] fixed for socketTextStream a61fa9e [Ken Takagiwa] fied input of socketTextDStream 1e84f41 [Ken Takagiwa] initial commit for socketTextStream 6d012f7 [Ken Takagiwa] remove unused import in python 25d30d5 [Ken Takagiwa] add empty line 6e0a64a [Ken Takagiwa] sorted the import following Spark coding convention fa4a7fc [Ken Takagiwa] revert streaming/pom.xml 8f8202b [Ken Takagiwa] revert streaming pom.xml c9d79dd [Ken Takagiwa] revert pom.xml 57e3e52 [Ken Takagiwa] remove not implemented DStream functions in python 0a516f5 [Ken Takagiwa] add coment for hack why PYSPARK_PYTHON is needed in spark-submit a7a0b5c [Ken Takagiwa] add coment for hack why PYSPARK_PYTHON is needed in spark-submit 72bfc66 [Ken Takagiwa] modified the code base on comment in https://github.com/tdas/spark/pull/10 69e9cd3 [Ken Takagiwa] implementing transform function in Python 94a0787 [Ken Takagiwa] added reducedByKey not working yet 88068cf [Ken Takagiwa] modify dstream.py to fix indent error 1367be5 [Ken Takagiwa] comment PythonDStream.PairwiseDStream eb2b3ba [Ken] Merge remote-tracking branch 'upstream/master' d8e51f9 [Ken] initial commit for pySparkStreaming
* [SPARK-3841] [mllib] Pretty-print params for ML examplesJoseph K. Bradley2014-10-0811-7/+75
| | | | | | | | | | | | | | | | | | | | | | | | | | Provide a parent class for the Params case classes used in many MLlib examples, where the parent class pretty-prints the case class fields: Param1Name Param1Value Param2Name Param2Value ... Using this class will make it easier to print test settings to logs. Also, updated DecisionTreeRunner to print a little more info. CC: mengxr Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #2700 from jkbradley/dtrunner-update and squashes the following commits: cff873f [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dtrunner-update 7a08ae4 [Joseph K. Bradley] code review comment updates b4d2043 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dtrunner-update d8228a7 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dtrunner-update 0fc9c64 [Joseph K. Bradley] Added abstract TestParams class for mllib example parameters 12b7798 [Joseph K. Bradley] Added abstract class TestParams for pretty-printing Params values 5f84f03 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dtrunner-update f7441b6 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into dtrunner-update 19eb6fc [Joseph K. Bradley] Updated DecisionTreeRunner to print training time.
* [SPARK-3790][MLlib] CosineSimilarity ExampleReza Zadeh2014-10-071-0/+107
| | | | | | | | | | | | | | | | | Provide example for `RowMatrix.columnSimilarity()` Author: Reza Zadeh <rizlar@gmail.com> Closes #2622 from rezazadeh/dimsumexample and squashes the following commits: 8f20b82 [Reza Zadeh] update comment 379066d [Reza Zadeh] cache rows 792b81c [Reza Zadeh] Address review comments e573c7a [Reza Zadeh] Average absolute error b15685f [Reza Zadeh] Use scopt. Distribute evaluation. eca3dfd [Reza Zadeh] Documentation ac96fb2 [Reza Zadeh] Compute approximation error, add command line. 4533579 [Reza Zadeh] CosineSimilarity Example
* Python SQL Example Codejyotiska2014-10-011-0/+73
| | | | | | | | | | | | | | | | | | | SQL example code for Python, as shown on [SQL Programming Guide](https://spark.apache.org/docs/1.0.2/sql-programming-guide.html) Author: jyotiska <jyotiska123@gmail.com> Closes #2521 from jyotiska/sql_example and squashes the following commits: 1471dcb [jyotiska] added imports for sql b25e436 [jyotiska] pep 8 compliance 43fd10a [jyotiska] lines broken to maintain 80 char limit b4fdf4e [jyotiska] removed blank lines 83d5ab7 [jyotiska] added inferschema and applyschema to the demo 306667e [jyotiska] replaced blank line with end line c90502a [jyotiska] fixed new line 4939a70 [jyotiska] added new line at end for python style 0b46148 [jyotiska] fixed appname for python sql example 8f67b5b [jyotiska] added python sql example
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