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* [SPARK-2784][SQL] Deprecate hql() method in favor of a config option, ↵Michael Armbrust2014-08-031-6/+6
| | | | | | | | | | | | | | | | | | | | 'spark.sql.dialect' Many users have reported being confused by the distinction between the `sql` and `hql` methods. Specifically, many users think that `sql(...)` cannot be used to read hive tables. In this PR I introduce a new configuration option `spark.sql.dialect` that picks which dialect with be used for parsing. For SQLContext this must be set to `sql`. In `HiveContext` it defaults to `hiveql` but can also be set to `sql`. The `hql` and `hiveql` methods continue to act the same but are now marked as deprecated. **This is a possibly breaking change for some users unless they set the dialect manually, though this is unlikely.** For example: `hiveContex.sql("SELECT 1")` will now throw a parsing exception by default. Author: Michael Armbrust <michael@databricks.com> Closes #1746 from marmbrus/sqlLanguageConf and squashes the following commits: ad375cc [Michael Armbrust] Merge remote-tracking branch 'apache/master' into sqlLanguageConf 20c43f8 [Michael Armbrust] override function instead of just setting the value 7e4ae93 [Michael Armbrust] Deprecate hql() method in favor of a config option, 'spark.sql.dialect'
* [SPARK-2739][SQL] Rename registerAsTable to registerTempTableMichael Armbrust2014-08-023-7/+7
| | | | | | | | | | | | | There have been user complaints that the difference between `registerAsTable` and `saveAsTable` is too subtle. This PR addresses this by renaming `registerAsTable` to `registerTempTable`, which more clearly reflects what is happening. `registerAsTable` remains, but will cause a deprecation warning. Author: Michael Armbrust <michael@databricks.com> Closes #1743 from marmbrus/registerTempTable and squashes the following commits: d031348 [Michael Armbrust] Merge remote-tracking branch 'apache/master' into registerTempTable 4dff086 [Michael Armbrust] Fix .java files too 89a2f12 [Michael Armbrust] Merge remote-tracking branch 'apache/master' into registerTempTable 0b7b71e [Michael Armbrust] Rename registerAsTable to registerTempTable
* [SPARK-2478] [mllib] DecisionTree Python APIJoseph K. Bradley2014-08-022-1/+136
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Added experimental Python API for Decision Trees. API: * class DecisionTreeModel ** predict() for single examples and RDDs, taking both feature vectors and LabeledPoints ** numNodes() ** depth() ** __str__() * class DecisionTree ** trainClassifier() ** trainRegressor() ** train() Examples and testing: * Added example testing classification and regression with batch prediction: examples/src/main/python/mllib/tree.py * Have also tested example usage in doc of python/pyspark/mllib/tree.py which tests single-example prediction with dense and sparse vectors Also: Small bug fix in python/pyspark/mllib/_common.py: In _linear_predictor_typecheck, changed check for RDD to use isinstance() instead of type() in order to catch RDD subclasses. CC mengxr manishamde Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #1727 from jkbradley/decisiontree-python-new and squashes the following commits: 3744488 [Joseph K. Bradley] Renamed test tree.py to decision_tree_runner.py Small updates based on github review. 6b86a9d [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new affceb9 [Joseph K. Bradley] * Fixed bug in doc tests in pyspark/mllib/util.py caused by change in loadLibSVMFile behavior. (It used to threshold labels at 0 to make them 0/1, but it now leaves them as they are.) * Fixed small bug in loadLibSVMFile: If a data file had no features, then loadLibSVMFile would create a single all-zero feature. 67a29bc [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new cf46ad7 [Joseph K. Bradley] Python DecisionTreeModel * predict(empty RDD) returns an empty RDD instead of an error. * Removed support for calling predict() on LabeledPoint and RDD[LabeledPoint] * predict() does not cache serialized RDD any more. aa29873 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new bf21be4 [Joseph K. Bradley] removed old run() func from DecisionTree fa10ea7 [Joseph K. Bradley] Small style update 7968692 [Joseph K. Bradley] small braces typo fix e34c263 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 4801b40 [Joseph K. Bradley] Small style update to DecisionTreeSuite db0eab2 [Joseph K. Bradley] Merge branch 'decisiontree-bugfix2' into decisiontree-python-new 6873fa9 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 225822f [Joseph K. Bradley] Bug: In DecisionTree, the method sequentialBinSearchForOrderedCategoricalFeatureInClassification() indexed bins from 0 to (math.pow(2, featureCategories.toInt - 1) - 1). This upper bound is the bound for unordered categorical features, not ordered ones. The upper bound should be the arity (i.e., max value) of the feature. 93953f1 [Joseph K. Bradley] Likely done with Python API. 6df89a9 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 4562c08 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 665ba78 [Joseph K. Bradley] Small updates towards Python DecisionTree API 188cb0d [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new 6622247 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new b8fac57 [Joseph K. Bradley] Finished Python DecisionTree API and example but need to test a bit more. 2b20c61 [Joseph K. Bradley] Small doc and style updates 1b29c13 [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new 584449a [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new dab0b67 [Joseph K. Bradley] Added documentation for DecisionTree internals 8bb8aa0 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix 978cfcf [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix 6eed482 [Joseph K. Bradley] In DecisionTree: Changed from using procedural syntax for functions returning Unit to explicitly writing Unit return type. 376dca2 [Joseph K. Bradley] Updated meaning of maxDepth by 1 to fit scikit-learn and rpart. * In code, replaced usages of maxDepth <-- maxDepth + 1 * In params, replace settings of maxDepth <-- maxDepth - 1 e06e423 [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new bab3f19 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 59750f8 [Joseph K. Bradley] * Updated Strategy to check numClassesForClassification only if algo=Classification. * Updates based on comments: ** DecisionTreeRunner *** Made dataFormat arg default to libsvm ** Small cleanups ** tree.Node: Made recursive helper methods private, and renamed them. 52e17c5 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix f5a036c [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new da50db7 [Joseph K. Bradley] Added one more test to DecisionTreeSuite: stump with 2 continuous variables for binary classification. Caused problems in past, but fixed now. 8e227ea [Joseph K. Bradley] Changed Strategy so it only requires numClassesForClassification >= 2 for classification cd1d933 [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new 8ea8750 [Joseph K. Bradley] Bug fix: Off-by-1 when finding thresholds for splits for continuous features. 8a758db [Joseph K. Bradley] Merge branch 'decisiontree-bugfix' into decisiontree-python-new 5fe44ed [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-python-new 2283df8 [Joseph K. Bradley] 2 bug fixes. 73fbea2 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix 5f920a1 [Joseph K. Bradley] Demonstration of bug before submitting fix: Updated DecisionTreeSuite so that 3 tests fail. Will describe bug in next commit. f825352 [Joseph K. Bradley] Wrote Python API and example for DecisionTree. Also added toString, depth, and numNodes methods to DecisionTreeModel.
* Streaming mllib [SPARK-2438][MLLIB]Jeremy Freeman2014-08-011-0/+73
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR implements a streaming linear regression analysis, in which a linear regression model is trained online as new data arrive. The design is based on discussions with tdas and mengxr, in which we determined how to add this functionality in a general way, with minimal changes to existing libraries. __Summary of additions:__ _StreamingLinearAlgorithm_ - An abstract class for fitting generalized linear models online to streaming data, including training on (and updating) a model, and making predictions. _StreamingLinearRegressionWithSGD_ - Class and companion object for running streaming linear regression _StreamingLinearRegressionTestSuite_ - Unit tests _StreamingLinearRegression_ - Example use case: fitting a model online to data from one stream, and making predictions on other data __Notes__ - If this looks good, I can use the StreamingLinearAlgorithm class to easily implement other analyses that follow the same logic (Ridge, Lasso, Logistic, SVM). Author: Jeremy Freeman <the.freeman.lab@gmail.com> Author: freeman <the.freeman.lab@gmail.com> Closes #1361 from freeman-lab/streaming-mllib and squashes the following commits: 775ea29 [Jeremy Freeman] Throw error if user doesn't initialize weights 4086fee [Jeremy Freeman] Fixed current weight formatting 8b95b27 [Jeremy Freeman] Restored broadcasting 29f27ec [Jeremy Freeman] Formatting 8711c41 [Jeremy Freeman] Used return to avoid indentation 777b596 [Jeremy Freeman] Restored treeAggregate 74cf440 [Jeremy Freeman] Removed static methods d28cf9a [Jeremy Freeman] Added usage notes c3326e7 [Jeremy Freeman] Improved documentation 9541a41 [Jeremy Freeman] Merge remote-tracking branch 'upstream/master' into streaming-mllib 66eba5e [Jeremy Freeman] Fixed line lengths 2fe0720 [Jeremy Freeman] Minor cleanup 7d51378 [Jeremy Freeman] Moved streaming loader to MLUtils b9b69f6 [Jeremy Freeman] Added setter methods c3f8b5a [Jeremy Freeman] Modified logging 00aafdc [Jeremy Freeman] Add modifiers 14b801e [Jeremy Freeman] Name changes c7d38a3 [Jeremy Freeman] Move check for empty data to GradientDescent 4b0a5d3 [Jeremy Freeman] Cleaned up tests 74188d6 [Jeremy Freeman] Eliminate dependency on commons 50dd237 [Jeremy Freeman] Removed experimental tag 6bfe1e6 [Jeremy Freeman] Fixed imports a2a63ad [freeman] Makes convergence test more robust 86220bc [freeman] Streaming linear regression unit tests fb4683a [freeman] Minor changes for scalastyle consistency fd31e03 [freeman] Changed logging behavior 453974e [freeman] Fixed indentation c4b1143 [freeman] Streaming linear regression 604f4d7 [freeman] Expanded private class to include mllib d99aa85 [freeman] Helper methods for streaming MLlib apps 0898add [freeman] Added dependency on streaming
* [SPARK-2756] [mllib] Decision tree bug fixesJoseph K. Bradley2014-07-311-20/+72
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | (1) Inconsistent aggregate (agg) indexing for unordered features. (2) Fixed gain calculations for edge cases. (3) One-off error in choosing thresholds for continuous features for small datasets. (4) (not a bug) Changed meaning of tree depth by 1 to fit scikit-learn and rpart. (Depth 1 used to mean 1 leaf node; depth 0 now means 1 leaf node.) Other updates, to help with tests: * Updated DecisionTreeRunner to print more info. * Added utility functions to DecisionTreeModel: toString, depth, numNodes * Improved internal DecisionTree documentation Bug fix details: (1) Indexing was inconsistent for aggregate calculations for unordered features (in multiclass classification with categorical features, where the features had few enough values such that they could be considered unordered, i.e., isSpaceSufficientForAllCategoricalSplits=true). * updateBinForUnorderedFeature indexed agg as (node, feature, featureValue, binIndex), where ** featureValue was from arr (so it was a feature value) ** binIndex was in [0,…, 2^(maxFeatureValue-1)-1) * The rest of the code indexed agg as (node, feature, binIndex, label). * Corrected this bug by changing updateBinForUnorderedFeature to use the second indexing pattern. Unit tests in DecisionTreeSuite * Updated a few tests to train a model and test its training accuracy, which catches the indexing bug from updateBinForUnorderedFeature() discussed above. * Added new test (“stump with categorical variables for multiclass classification, with just enough bins”) to test bin extremes. (2) Bug fix: calculateGainForSplit (for classification): * It used to return dummy prediction values when either the right or left children had 0 weight. These were incorrect for multiclass classification. It has been corrected. Updated impurities to allow for count = 0. This was related to the above bug fix for calculateGainForSplit (for classification). Small updates to documentation and coding style. (3) Bug fix: Off-by-1 when finding thresholds for splits for continuous features. * Exhibited bug in new test in DecisionTreeSuite: “stump with 1 continuous variable for binary classification, to check off-by-1 error” * Description: When finding thresholds for possible splits for continuous features in DecisionTree.findSplitsBins, the thresholds were set according to individual training examples’ feature values. * Fix: The threshold is set to be the average of 2 consecutive (sorted) examples’ feature values. E.g.: If the old code set the threshold using example i, the new code sets the threshold using exam * Note: In 4 DecisionTreeSuite tests with all labels identical, removed check of threshold since it is somewhat arbitrary. CC: mengxr manishamde Please let me know if I missed something! Author: Joseph K. Bradley <joseph.kurata.bradley@gmail.com> Closes #1673 from jkbradley/decisiontree-bugfix and squashes the following commits: 2b20c61 [Joseph K. Bradley] Small doc and style updates dab0b67 [Joseph K. Bradley] Added documentation for DecisionTree internals 8bb8aa0 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix 978cfcf [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix 6eed482 [Joseph K. Bradley] In DecisionTree: Changed from using procedural syntax for functions returning Unit to explicitly writing Unit return type. 376dca2 [Joseph K. Bradley] Updated meaning of maxDepth by 1 to fit scikit-learn and rpart. * In code, replaced usages of maxDepth <-- maxDepth + 1 * In params, replace settings of maxDepth <-- maxDepth - 1 59750f8 [Joseph K. Bradley] * Updated Strategy to check numClassesForClassification only if algo=Classification. * Updates based on comments: ** DecisionTreeRunner *** Made dataFormat arg default to libsvm ** Small cleanups ** tree.Node: Made recursive helper methods private, and renamed them. 52e17c5 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix da50db7 [Joseph K. Bradley] Added one more test to DecisionTreeSuite: stump with 2 continuous variables for binary classification. Caused problems in past, but fixed now. 8ea8750 [Joseph K. Bradley] Bug fix: Off-by-1 when finding thresholds for splits for continuous features. 2283df8 [Joseph K. Bradley] 2 bug fixes. 73fbea2 [Joseph K. Bradley] Merge remote-tracking branch 'upstream/master' into decisiontree-bugfix 5f920a1 [Joseph K. Bradley] Demonstration of bug before submitting fix: Updated DecisionTreeSuite so that 3 tests fail. Will describe bug in next commit.
* [SPARK-2397][SQL] Deprecate LocalHiveContextMichael Armbrust2014-07-311-2/+2
| | | | | | | | | | | | | LocalHiveContext is redundant with HiveContext. The only difference is it creates `./metastore` instead of `./metastore_db`. Author: Michael Armbrust <michael@databricks.com> Closes #1641 from marmbrus/localHiveContext and squashes the following commits: e5ec497 [Michael Armbrust] Add deprecation version 626e056 [Michael Armbrust] Don't remove from imports yet 905cc5f [Michael Armbrust] Merge remote-tracking branch 'apache/master' into localHiveContext 1c2727e [Michael Armbrust] Deprecate LocalHiveContext
* Update DecisionTreeRunner.scalastrat0sphere2014-07-301-1/+1
| | | | | | | | Author: strat0sphere <stratos.dimopoulos@gmail.com> Closes #1676 from strat0sphere/patch-1 and squashes the following commits: 044d2fa [strat0sphere] Update DecisionTreeRunner.scala
* SPARK-2341 [MLLIB] loadLibSVMFile doesn't handle regression datasetsSean Owen2014-07-302-3/+3
| | | | | | | | | | | | Per discussion at https://issues.apache.org/jira/browse/SPARK-2341 , this is a look at deprecating the multiclass parameter. Thoughts welcome of course. Author: Sean Owen <srowen@gmail.com> Closes #1663 from srowen/SPARK-2341 and squashes the following commits: 8a3abd7 [Sean Owen] Suppress MIMA error for removed package private classes 18a8c8e [Sean Owen] Updates from review 83d0092 [Sean Owen] Deprecated methods with multiclass, and instead always parse target as a double (ie. multiclass = true)
* [SPARK-2024] Add saveAsSequenceFile to PySparkKan Zhang2014-07-306-35/+243
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA issue: https://issues.apache.org/jira/browse/SPARK-2024 This PR is a followup to #455 and adds capabilities for saving PySpark RDDs using SequenceFile or any Hadoop OutputFormats. * Added RDD methods ```saveAsSequenceFile```, ```saveAsHadoopFile``` and ```saveAsHadoopDataset```, for both old and new MapReduce APIs. * Default converter for converting common data types to Writables. Users may specify custom converters to convert to desired data types. * No out-of-box support for reading/writing arrays, since ArrayWritable itself doesn't have a no-arg constructor for creating an empty instance upon reading. Users need to provide ArrayWritable subtypes. Custom converters for converting arrays to suitable ArrayWritable subtypes are also needed when writing. When reading, the default converter will convert any custom ArrayWritable subtypes to ```Object[]``` and they get pickled to Python tuples. * Added HBase and Cassandra output examples to show how custom output formats and converters can be used. cc MLnick mateiz ahirreddy pwendell Author: Kan Zhang <kzhang@apache.org> Closes #1338 from kanzhang/SPARK-2024 and squashes the following commits: c01e3ef [Kan Zhang] [SPARK-2024] code formatting 6591e37 [Kan Zhang] [SPARK-2024] renaming pickled -> pickledRDD d998ad6 [Kan Zhang] [SPARK-2024] refectoring to get method params below 10 57a7a5e [Kan Zhang] [SPARK-2024] correcting typo 75ca5bd [Kan Zhang] [SPARK-2024] Better type checking for batch serialized RDD 0bdec55 [Kan Zhang] [SPARK-2024] Refactoring newly added tests 9f39ff4 [Kan Zhang] [SPARK-2024] Adding 2 saveAsHadoopDataset tests 0c134f3 [Kan Zhang] [SPARK-2024] Test refactoring and adding couple unbatched cases 7a176df [Kan Zhang] [SPARK-2024] Add saveAsSequenceFile to PySpark
* [STREAMING] SPARK-1729. Make Flume pull data from source, rather than the ↵Hari Shreedharan2014-07-291-0/+67
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | current pu... ...sh model Currently Spark uses Flume's internal Avro Protocol to ingest data from Flume. If the executor running the receiver fails, it currently has to be restarted on the same node to be able to receive data. This commit adds a new Sink which can be deployed to a Flume agent. This sink can be polled by a new DStream that is also included in this commit. This model ensures that data can be pulled into Spark from Flume even if the receiver is restarted on a new node. This also allows the receiver to receive data on multiple threads for better performance. Author: Hari Shreedharan <harishreedharan@gmail.com> Author: Hari Shreedharan <hshreedharan@apache.org> Author: Tathagata Das <tathagata.das1565@gmail.com> Author: harishreedharan <hshreedharan@cloudera.com> Closes #807 from harishreedharan/master and squashes the following commits: e7f70a3 [Hari Shreedharan] Merge remote-tracking branch 'asf-git/master' 96cfb6f [Hari Shreedharan] Merge remote-tracking branch 'asf/master' e48d785 [Hari Shreedharan] Documenting flume-sink being ignored for Mima checks. 5f212ce [Hari Shreedharan] Ignore Spark Sink from mima. 981bf62 [Hari Shreedharan] Merge remote-tracking branch 'asf/master' 7a1bc6e [Hari Shreedharan] Fix SparkBuild.scala a082eb3 [Hari Shreedharan] Merge remote-tracking branch 'asf/master' 1f47364 [Hari Shreedharan] Minor fixes. 73d6f6d [Hari Shreedharan] Cleaned up tests a bit. Added some docs in multiple places. 65b76b4 [Hari Shreedharan] Fixing the unit test. e59cc20 [Hari Shreedharan] Use SparkFlumeEvent instead of the new type. Also, Flume Polling Receiver now uses the store(ArrayBuffer) method. f3c99d1 [Hari Shreedharan] Merge remote-tracking branch 'asf/master' 3572180 [Hari Shreedharan] Adding a license header, making Jenkins happy. 799509f [Hari Shreedharan] Fix a compile issue. 3c5194c [Hari Shreedharan] Merge remote-tracking branch 'asf/master' d248d22 [harishreedharan] Merge pull request #1 from tdas/flume-polling 10b6214 [Tathagata Das] Changed public API, changed sink package, and added java unit test to make sure Java API is callable from Java. 1edc806 [Hari Shreedharan] SPARK-1729. Update logging in Spark Sink. 8c00289 [Hari Shreedharan] More debug messages 393bd94 [Hari Shreedharan] SPARK-1729. Use LinkedBlockingQueue instead of ArrayBuffer to keep track of connections. 120e2a1 [Hari Shreedharan] SPARK-1729. Some test changes and changes to utils classes. 9fd0da7 [Hari Shreedharan] SPARK-1729. Use foreach instead of map for all Options. 8136aa6 [Hari Shreedharan] Adding TransactionProcessor to map on returning batch of data 86aa274 [Hari Shreedharan] Merge remote-tracking branch 'asf/master' 205034d [Hari Shreedharan] Merging master in 4b0c7fc [Hari Shreedharan] FLUME-1729. New Flume-Spark integration. bda01fc [Hari Shreedharan] FLUME-1729. Flume-Spark integration. 0d69604 [Hari Shreedharan] FLUME-1729. Better Flume-Spark integration. 3c23c18 [Hari Shreedharan] SPARK-1729. New Spark-Flume integration. 70bcc2a [Hari Shreedharan] SPARK-1729. New Flume-Spark integration. d6fa3aa [Hari Shreedharan] SPARK-1729. New Flume-Spark integration. e7da512 [Hari Shreedharan] SPARK-1729. Fixing import order 9741683 [Hari Shreedharan] SPARK-1729. Fixes based on review. c604a3c [Hari Shreedharan] SPARK-1729. Optimize imports. 0f10788 [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 87775aa [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 8df37e4 [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 03d6c1c [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 08176ad [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model d24d9d4 [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model 6d6776a [Hari Shreedharan] SPARK-1729. Make Flume pull data from source, rather than the current push model
* [SPARK-2434][MLlib]: Warning messages that point users to original MLlib ↵Burak2014-07-2111-1/+141
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | implementations added to Examples [SPARK-2434][MLlib]: Warning messages that refer users to the original MLlib implementations of some popular example machine learning algorithms added both in the comments and the code. The following examples have been modified: Scala: * LocalALS * LocalFileLR * LocalKMeans * LocalLP * SparkALS * SparkHdfsLR * SparkKMeans * SparkLR Python: * kmeans.py * als.py * logistic_regression.py Author: Burak <brkyvz@gmail.com> Closes #1515 from brkyvz/SPARK-2434 and squashes the following commits: 7505da9 [Burak] [SPARK-2434][MLlib]: Warning messages added, scalastyle errors fixed, and added missing punctuation b96b522 [Burak] [SPARK-2434][MLlib]: Warning messages added and scalastyle errors fixed 4762f39 [Burak] [SPARK-2434]: Warning messages added 17d3d83 [Burak] SPARK-2434: Added warning messages to the naive implementations of the example algorithms 2cb5301 [Burak] SPARK-2434: Warning messages redirecting to original implementaions added.
* [MLlib] SPARK-1536: multiclass classification support for decision treeManish Amde2014-07-181-7/+14
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The ability to perform multiclass classification is a big advantage for using decision trees and was a highly requested feature for mllib. This pull request adds multiclass classification support to the MLlib decision tree. It also adds sample weights support using WeightedLabeledPoint class for handling unbalanced datasets during classification. It will also support algorithms such as AdaBoost which requires instances to be weighted. It handles the special case where the categorical variables cannot be ordered for multiclass classification and thus the optimizations used for speeding up binary classification cannot be directly used for multiclass classification with categorical variables. More specifically, for m categories in a categorical feature, it analyses all the ```2^(m-1) - 1``` categorical splits provided that #splits are less than the maxBins provided in the input. This condition will not be met for features with large number of categories -- using decision trees is not recommended for such datasets in general since the categorical features are favored over continuous features. Moreover, the user can use a combination of tricks (increasing bin size of the tree algorithms, use binary encoding for categorical features or use one-vs-all classification strategy) to avoid these constraints. The new code is accompanied by unit tests and has also been tested on the iris and covtype datasets. cc: mengxr, etrain, hirakendu, atalwalkar, srowen Author: Manish Amde <manish9ue@gmail.com> Author: manishamde <manish9ue@gmail.com> Author: Evan Sparks <sparks@cs.berkeley.edu> Closes #886 from manishamde/multiclass and squashes the following commits: 26f8acc [Manish Amde] another attempt at fixing mima c5b2d04 [Manish Amde] more MIMA fixes 1ce7212 [Manish Amde] change problem filter for mima 10fdd82 [Manish Amde] fixing MIMA excludes e1c970d [Manish Amde] merged master abf2901 [Manish Amde] adding classes to MimaExcludes.scala 45e767a [Manish Amde] adding developer api annotation for overriden methods c8428c4 [Manish Amde] fixing weird multiline bug afced16 [Manish Amde] removed label weights support 2d85a48 [Manish Amde] minor: fixed scalastyle issues reprise 4e85f2c [Manish Amde] minor: fixed scalastyle issues b2ae41f [Manish Amde] minor: scalastyle e4c1321 [Manish Amde] using while loop for regression histograms d75ac32 [Manish Amde] removed WeightedLabeledPoint from this PR 0fecd38 [Manish Amde] minor: add newline to EOF 2061cf5 [Manish Amde] merged from master 06b1690 [Manish Amde] fixed off-by-one error in bin to split conversion 9cc3e31 [Manish Amde] added implicit conversion import 5c1b2ca [Manish Amde] doc for PointConverter class 485eaae [Manish Amde] implicit conversion from LabeledPoint to WeightedLabeledPoint 3d7f911 [Manish Amde] updated doc 8e44ab8 [Manish Amde] updated doc adc7315 [Manish Amde] support ordered categorical splits for multiclass classification e3e8843 [Manish Amde] minor code formatting 23d4268 [Manish Amde] minor: another minor code style 34ee7b9 [Manish Amde] minor: code style 237762d [Manish Amde] renaming functions 12e6d0a [Manish Amde] minor: removing line in doc 9a90c93 [Manish Amde] Merge branch 'master' into multiclass 1892a2c [Manish Amde] tests and use multiclass binaggregate length when atleast one categorical feature is present f5f6b83 [Manish Amde] multiclass for continous variables 8cfd3b6 [Manish Amde] working for categorical multiclass classification 828ff16 [Manish Amde] added categorical variable test bce835f [Manish Amde] code cleanup 7e5f08c [Manish Amde] minor doc 1dd2735 [Manish Amde] bin search logic for multiclass f16a9bb [Manish Amde] fixing while loop d811425 [Manish Amde] multiclass bin aggregate logic ab5cb21 [Manish Amde] multiclass logic d8e4a11 [Manish Amde] sample weights ed5a2df [Manish Amde] fixed classification requirements d012be7 [Manish Amde] fixed while loop 18d2835 [Manish Amde] changing default values for num classes 6b912dc [Manish Amde] added numclasses to tree runner, predict logic for multiclass, add multiclass option to train 75f2bfc [Manish Amde] minor code style fix e547151 [Manish Amde] minor modifications 34549d0 [Manish Amde] fixing error during merge 098e8c5 [Manish Amde] merged master e006f9d [Manish Amde] changing variable names 5c78e1a [Manish Amde] added multiclass support 6c7af22 [Manish Amde] prepared for multiclass without breaking binary classification 46e06ee [Manish Amde] minor mods 3f85a17 [Manish Amde] tests for multiclass classification 4d5f70c [Manish Amde] added multiclass support for find splits bins 46f909c [Manish Amde] todo for multiclass support 455bea9 [Manish Amde] fixed tests 14aea48 [Manish Amde] changing instance format to weighted labeled point a1a6e09 [Manish Amde] added weighted point class 968ca9d [Manish Amde] merged master 7fc9545 [Manish Amde] added docs ce004a1 [Manish Amde] minor formatting b27ad2c [Manish Amde] formatting 426bb28 [Manish Amde] programming guide blurb 8053fed [Manish Amde] more formatting 5eca9e4 [Manish Amde] grammar 4731cda [Manish Amde] formatting 5e82202 [Manish Amde] added documentation, fixed off by 1 error in max level calculation cbd9f14 [Manish Amde] modified scala.math to math dad9652 [Manish Amde] removed unused imports e0426ee [Manish Amde] renamed parameter 718506b [Manish Amde] added unit test 1517155 [Manish Amde] updated documentation 9dbdabe [Manish Amde] merge from master 719d009 [Manish Amde] updating user documentation fecf89a [manishamde] Merge pull request #6 from etrain/deep_tree 0287772 [Evan Sparks] Fixing scalastyle issue. 2f1e093 [Manish Amde] minor: added doc for maxMemory parameter 2f6072c [manishamde] Merge pull request #5 from etrain/deep_tree abc5a23 [Evan Sparks] Parameterizing max memory. 50b143a [Manish Amde] adding support for very deep trees
* [SPARK-2570] [SQL] Fix the bug of ClassCastExceptionCheng Hao2014-07-171-1/+1
| | | | | | | | | | | | | | | | | | | | | | Exception thrown when running the example of HiveFromSpark. Exception in thread "main" java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Integer at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106) at org.apache.spark.sql.catalyst.expressions.GenericRow.getInt(Row.scala:145) at org.apache.spark.examples.sql.hive.HiveFromSpark$.main(HiveFromSpark.scala:45) at org.apache.spark.examples.sql.hive.HiveFromSpark.main(HiveFromSpark.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:303) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Author: Cheng Hao <hao.cheng@intel.com> Closes #1475 from chenghao-intel/hive_from_spark and squashes the following commits: d4c0500 [Cheng Hao] Fix the bug of ClassCastException
* SPARK-2427: Fix Scala examples that use the wrong command line arguments indexArtjom-Metro2014-07-103-6/+16
| | | | | | | | | | | | The Scala examples HBaseTest and HdfsTest don't use the correct indexes for the command line arguments. This due to to the fix of JIRA 1565, where these examples were not correctly adapted to the new usage of the submit script. Author: Artjom-Metro <Artjom-Metro@users.noreply.github.com> Author: Artjom-Metro <artjom31415@googlemail.com> Closes #1353 from Artjom-Metro/fix_examples and squashes the following commits: 6111801 [Artjom-Metro] Reduce the default number of iterations cfaa73c [Artjom-Metro] Fix some examples that use the wrong index to access the command line arguments
* Clean up SparkKMeans example's codeRaymond Liu2014-07-091-5/+0
| | | | | | | | | | remove unused code Author: Raymond Liu <raymond.liu@intel.com> Closes #1352 from colorant/kmeans and squashes the following commits: ddcd1dd [Raymond Liu] Clean up SparkKMeans example's code
* [SPARK-1977][MLLIB] register mutable BitSet in MovieLenseALSNeville Li2014-07-071-0/+3
| | | | | | | | Author: Neville Li <neville@spotify.com> Closes #1319 from nevillelyh/gh/SPARK-1977 and squashes the following commits: 1f0a355 [Neville Li] [SPARK-1977][MLLIB] register mutable BitSet in MovieLenseALS
* [SPARK-2060][SQL] Querying JSON Datasets with SQL and DSL in Spark SQLYin Huai2014-06-172-2/+79
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | JIRA: https://issues.apache.org/jira/browse/SPARK-2060 Programming guide: http://yhuai.github.io/site/sql-programming-guide.html Scala doc of SQLContext: http://yhuai.github.io/site/api/scala/index.html#org.apache.spark.sql.SQLContext Author: Yin Huai <huai@cse.ohio-state.edu> Closes #999 from yhuai/newJson and squashes the following commits: 227e89e [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson ce8eedd [Yin Huai] rxin's comments. bc9ac51 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 94ffdaa [Yin Huai] Remove "get" from method names. ce31c81 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson e2773a6 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 79ea9ba [Yin Huai] Fix typos. 5428451 [Yin Huai] Newline 1f908ce [Yin Huai] Remove extra line. d7a005c [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 7ea750e [Yin Huai] marmbrus's comments. 6a5f5ef [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 83013fb [Yin Huai] Update Java Example. e7a6c19 [Yin Huai] SchemaRDD.javaToPython should convert a field with the StructType to a Map. 6d20b85 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 4fbddf0 [Yin Huai] Programming guide. 9df8c5a [Yin Huai] Python API. 7027634 [Yin Huai] Java API. cff84cc [Yin Huai] Use a SchemaRDD for a JSON dataset. d0bd412 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson ab810b0 [Yin Huai] Make JsonRDD private. 6df0891 [Yin Huai] Apache header. 8347f2e [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 66f9e76 [Yin Huai] Update docs and use the entire dataset to infer the schema. 8ffed79 [Yin Huai] Update the example. a5a4b52 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 4325475 [Yin Huai] If a sampled dataset is used for schema inferring, update the schema of the JsonTable after first execution. 65b87f0 [Yin Huai] Fix sampling... 8846af5 [Yin Huai] API doc. 52a2275 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson 0387523 [Yin Huai] Address PR comments. 666b957 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson a2313a6 [Yin Huai] Address PR comments. f3ce176 [Yin Huai] After type conflict resolution, if a NullType is found, StringType is used. 0576406 [Yin Huai] Add Apache license header. af91b23 [Yin Huai] Merge remote-tracking branch 'upstream/master' into newJson f45583b [Yin Huai] Infer the schema of a JSON dataset (a text file with one JSON object per line or a RDD[String] with one JSON object per string) and returns a SchemaRDD. f31065f [Yin Huai] A query plan or a SchemaRDD can print out its schema.
* [SPARK-1672][MLLIB] Separate user and product partitioning in ALSTor Myklebust2014-06-111-1/+11
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Some clean up work following #593. 1. Allow to set different number user blocks and number product blocks in `ALS`. 2. Update `MovieLensALS` to reflect the change. Author: Tor Myklebust <tmyklebu@gmail.com> Author: Xiangrui Meng <meng@databricks.com> Closes #1014 from mengxr/SPARK-1672 and squashes the following commits: 0e910dd [Xiangrui Meng] change private[this] to private[recommendation] 36420c7 [Xiangrui Meng] set exclusion rules for ALS 9128b77 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-1672 294efe9 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into SPARK-1672 9bab77b [Xiangrui Meng] clean up add numUserBlocks and numProductBlocks to MovieLensALS 84c8e8c [Xiangrui Meng] Merge branch 'master' into SPARK-1672 d17a8bf [Xiangrui Meng] merge master a4925fd [Tor Myklebust] Style. bd8a75c [Tor Myklebust] Merge branch 'master' of github.com:apache/spark into alsseppar 021f54b [Tor Myklebust] Separate user and product blocks. dcf583a [Tor Myklebust] Remove the partitioner member variable; instead, thread that needle everywhere it needs to go. 23d6f91 [Tor Myklebust] Stop making the partitioner configurable. 495784f [Tor Myklebust] Merge branch 'master' of https://github.com/apache/spark 674933a [Tor Myklebust] Fix style. 40edc23 [Tor Myklebust] Fix missing space. f841345 [Tor Myklebust] Fix daft bug creating 'pairs', also for -> foreach. 5ec9e6c [Tor Myklebust] Clean a couple of things up using 'map'. 36a0f43 [Tor Myklebust] Make the partitioner private. d872b09 [Tor Myklebust] Add negative id ALS test. df27697 [Tor Myklebust] Support custom partitioners. Currently we use the same partitioner for users and products. c90b6d8 [Tor Myklebust] Scramble user and product ids before bucketing. c774d7d [Tor Myklebust] Make the partitioner a member variable and use it instead of modding directly.
* SPARK-1416: PySpark support for SequenceFile and Hadoop InputFormatsNick Pentreath2014-06-096-1/+232
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | So I finally resurrected this PR. It seems the old one against the incubator mirror is no longer available, so I cannot reference it. This adds initial support for reading Hadoop ```SequenceFile```s, as well as arbitrary Hadoop ```InputFormat```s, in PySpark. # Overview The basics are as follows: 1. ```PythonRDD``` object contains the relevant methods, that are in turn invoked by ```SparkContext``` in PySpark 2. The SequenceFile or InputFormat is read on the Scala side and converted from ```Writable``` instances to the relevant Scala classes (in the case of primitives) 3. Pyrolite is used to serialize Java objects. If this fails, the fallback is ```toString``` 4. ```PickleSerializer``` on the Python side deserializes. This works "out the box" for simple ```Writable```s: * ```Text``` * ```IntWritable```, ```DoubleWritable```, ```FloatWritable``` * ```NullWritable``` * ```BooleanWritable``` * ```BytesWritable``` * ```MapWritable``` It also works for simple, "struct-like" classes. Due to the way Pyrolite works, this requires that the classes satisfy the JavaBeans convenstions (i.e. with fields and a no-arg constructor and getters/setters). (Perhaps in future some sugar for case classes and reflection could be added). I've tested it out with ```ESInputFormat``` as an example and it works very nicely: ```python conf = {"es.resource" : "index/type" } rdd = sc.newAPIHadoopRDD("org.elasticsearch.hadoop.mr.EsInputFormat", "org.apache.hadoop.io.NullWritable", "org.elasticsearch.hadoop.mr.LinkedMapWritable", conf=conf) rdd.first() ``` I suspect for things like HBase/Cassandra it will be a bit trickier to get it to work out the box. # Some things still outstanding: 1. ~~Requires ```msgpack-python``` and will fail without it. As originally discussed with Josh, add a ```as_strings``` argument that defaults to ```False```, that can be used if ```msgpack-python``` is not available~~ 2. ~~I see from https://github.com/apache/spark/pull/363 that Pyrolite is being used there for SerDe between Scala and Python. @ahirreddy @mateiz what is the plan behind this - is Pyrolite preferred? It seems from a cursory glance that adapting the ```msgpack```-based SerDe here to use Pyrolite wouldn't be too hard~~ 3. ~~Support the key and value "wrapper" that would allow a Scala/Java function to be plugged in that would transform whatever the key/value Writable class is into something that can be serialized (e.g. convert some custom Writable to a JavaBean or ```java.util.Map``` that can be easily serialized)~~ 4. Support ```saveAsSequenceFile``` and ```saveAsHadoopFile``` etc. This would require SerDe in the reverse direction, that can be handled by Pyrolite. Will work on this as a separate PR Author: Nick Pentreath <nick.pentreath@gmail.com> Closes #455 from MLnick/pyspark-inputformats and squashes the following commits: 268df7e [Nick Pentreath] Documentation changes mer @pwendell comments 761269b [Nick Pentreath] Address @pwendell comments, simplify default writable conversions and remove registry. 4c972d8 [Nick Pentreath] Add license headers d150431 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats cde6af9 [Nick Pentreath] Parameterize converter trait 5ebacfa [Nick Pentreath] Update docs for PySpark input formats a985492 [Nick Pentreath] Move Converter examples to own package 365d0be [Nick Pentreath] Make classes private[python]. Add docs and @Experimental annotation to Converter interface. eeb8205 [Nick Pentreath] Fix path relative to SPARK_HOME in tests 1eaa08b [Nick Pentreath] HBase -> Cassandra app name oversight 3f90c3e [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 2c18513 [Nick Pentreath] Add examples for reading HBase and Cassandra InputFormats from Python b65606f [Nick Pentreath] Add converter interface 5757f6e [Nick Pentreath] Default key/value classes for sequenceFile asre None 085b55f [Nick Pentreath] Move input format tests to tests.py and clean up docs 43eb728 [Nick Pentreath] PySpark InputFormats docs into programming guide 94beedc [Nick Pentreath] Clean up args in PythonRDD. Set key/value converter defaults to None for PySpark context.py methods 1a4a1d6 [Nick Pentreath] Address @mateiz style comments 01e0813 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 15a7d07 [Nick Pentreath] Remove default args for key/value classes. Arg names to camelCase 9fe6bd5 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 84fe8e3 [Nick Pentreath] Python programming guide space formatting d0f52b6 [Nick Pentreath] Python programming guide 7caa73a [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 93ef995 [Nick Pentreath] Add back context.py changes 9ef1896 [Nick Pentreath] Recover earlier changes lost in previous merge for serializers.py 077ecb2 [Nick Pentreath] Recover earlier changes lost in previous merge for context.py 5af4770 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 35b8e3a [Nick Pentreath] Another fix for test ordering bef3afb [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats e001b94 [Nick Pentreath] Fix test failures due to ordering 78978d9 [Nick Pentreath] Add doc for SequenceFile and InputFormat support to Python programming guide 64eb051 [Nick Pentreath] Scalastyle fix e7552fa [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 44f2857 [Nick Pentreath] Remove msgpack dependency and switch serialization to Pyrolite, plus some clean up and refactoring c0ebfb6 [Nick Pentreath] Change sequencefile test data generator to easily be called from PySpark tests 1d7c17c [Nick Pentreath] Amend tests to auto-generate sequencefile data in temp dir 17a656b [Nick Pentreath] remove binary sequencefile for tests f60959e [Nick Pentreath] Remove msgpack dependency and serializer from PySpark 450e0a2 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 31a2fff [Nick Pentreath] Scalastyle fixes fc5099e [Nick Pentreath] Add Apache license headers 4e08983 [Nick Pentreath] Clean up docs for PySpark context methods b20ec7e [Nick Pentreath] Clean up merge duplicate dependencies 951c117 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats f6aac55 [Nick Pentreath] Bring back msgpack 9d2256e [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 1bbbfb0 [Nick Pentreath] Clean up SparkBuild from merge a67dfad [Nick Pentreath] Clean up Msgpack serialization and registering 7237263 [Nick Pentreath] Add back msgpack serializer and hadoop file code lost during merging 25da1ca [Nick Pentreath] Add generator for nulls, bools, bytes and maps 65360d5 [Nick Pentreath] Adding test SequenceFiles 0c612e5 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats d72bf18 [Nick Pentreath] msgpack dd57922 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats e67212a [Nick Pentreath] Add back msgpack dependency f2d76a0 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 41856a5 [Nick Pentreath] Merge branch 'master' into pyspark-inputformats 97ef708 [Nick Pentreath] Remove old writeToStream 2beeedb [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 795a763 [Nick Pentreath] Change name to WriteInputFormatTestDataGenerator. Cleanup some var names. Use SPARK_HOME in path for writing test sequencefile data. 174f520 [Nick Pentreath] Add back graphx settings 703ee65 [Nick Pentreath] Add back msgpack 619c0fa [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats 1c8efbc [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats eb40036 [Nick Pentreath] Remove unused comment lines 4d7ef2e [Nick Pentreath] Fix indentation f1d73e3 [Nick Pentreath] mergeConfs returns a copy rather than mutating one of the input arguments 0f5cd84 [Nick Pentreath] Remove unused pair UTF8 class. Add comments to msgpack deserializer 4294cbb [Nick Pentreath] Add old Hadoop api methods. Clean up and expand comments. Clean up argument names 818a1e6 [Nick Pentreath] Add seqencefile and Hadoop InputFormat support to PythonRDD 4e7c9e3 [Nick Pentreath] Merge remote-tracking branch 'upstream/master' into pyspark-inputformats c304cc8 [Nick Pentreath] Adding supporting sequncefiles for tests. Cleaning up 4b0a43f [Nick Pentreath] Refactoring utils into own objects. Cleaning up old commented-out code d86325f [Nick Pentreath] Initial WIP of PySpark support for SequenceFile and arbitrary Hadoop InputFormat
* SPARK-1628: Add missing hashCode methods in Partitioner subclasseszsxwing2014-06-081-0/+2
| | | | | | | | | | | | JIRA: https://issues.apache.org/jira/browse/SPARK-1628 Added `hashCode` in HashPartitioner, RangePartitioner, PythonPartitioner and PageRankUtils.CustomPartitioner. Author: zsxwing <zsxwing@gmail.com> Closes #549 from zsxwing/SPARK-1628 and squashes the following commits: 2620936 [zsxwing] SPARK-1628: Add missing hashCode methods in Partitioner subclasses
* [SPARK-1752][MLLIB] Standardize text format for vectors and labeled pointsXiangrui Meng2014-06-041-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | We should standardize the text format used to represent vectors and labeled points. The proposed formats are the following: 1. dense vector: `[v0,v1,..]` 2. sparse vector: `(size,[i0,i1],[v0,v1])` 3. labeled point: `(label,vector)` where "(..)" indicates a tuple and "[...]" indicate an array. `loadLabeledPoints` is added to pyspark's `MLUtils`. I didn't add `loadVectors` to pyspark because `RDD.saveAsTextFile` cannot stringify dense vectors in the proposed format automatically. `MLUtils#saveLabeledData` and `MLUtils#loadLabeledData` are deprecated. Users should use `RDD#saveAsTextFile` and `MLUtils#loadLabeledPoints` instead. In Scala, `MLUtils#loadLabeledPoints` is compatible with the format used by `MLUtils#loadLabeledData`. CC: @mateiz, @srowen Author: Xiangrui Meng <meng@databricks.com> Closes #685 from mengxr/labeled-io and squashes the following commits: 2d1116a [Xiangrui Meng] make loadLabeledData/saveLabeledData deprecated since 1.0.1 297be75 [Xiangrui Meng] change LabeledPoint.parse to LabeledPointParser.parse to maintain binary compatibility d6b1473 [Xiangrui Meng] Merge branch 'master' into labeled-io 56746ea [Xiangrui Meng] replace # by . 623a5f0 [Xiangrui Meng] merge master f06d5ba [Xiangrui Meng] add docs and minor updates 640fe0c [Xiangrui Meng] throw SparkException 5bcfbc4 [Xiangrui Meng] update test to add scientific notations e86bf38 [Xiangrui Meng] remove NumericTokenizer 050fca4 [Xiangrui Meng] use StringTokenizer 6155b75 [Xiangrui Meng] merge master f644438 [Xiangrui Meng] remove parse methods based on eval from pyspark a41675a [Xiangrui Meng] python loadLabeledPoint uses Scala's implementation ce9a475 [Xiangrui Meng] add deserialize_labeled_point to pyspark with tests e9fcd49 [Xiangrui Meng] add serializeLabeledPoint and tests aea4ae3 [Xiangrui Meng] minor updates 810d6df [Xiangrui Meng] update tokenizer/parser implementation 7aac03a [Xiangrui Meng] remove Scala parsers c1885c1 [Xiangrui Meng] add headers and minor changes b0c50cb [Xiangrui Meng] add customized parser d731817 [Xiangrui Meng] style update 63dc396 [Xiangrui Meng] add loadLabeledPoints to pyspark ea122b5 [Xiangrui Meng] Merge branch 'master' into labeled-io cd6c78f [Xiangrui Meng] add __str__ and parse to LabeledPoint a7a178e [Xiangrui Meng] add stringify to pyspark's Vectors 5c2dbfa [Xiangrui Meng] add parse to pyspark's Vectors 7853f88 [Xiangrui Meng] update pyspark's SparseVector.__str__ e761d32 [Xiangrui Meng] make LabelPoint.parse compatible with the dense format used before v1.0 and deprecate loadLabeledData and saveLabeledData 9e63a02 [Xiangrui Meng] add loadVectors and loadLabeledPoints 19aa523 [Xiangrui Meng] update toString and add parsers for Vectors and LabeledPoint
* Synthetic GraphX BenchmarkJoseph E. Gonzalez2014-06-031-0/+128
| | | | | | | | | | | | | | | | | | | | This PR accomplishes two things: 1. It introduces a Synthetic Benchmark application that generates an arbitrarily large log-normal graph and executes either PageRank or connected components on the graph. This can be used to profile GraphX system on arbitrary clusters without access to large graph datasets 2. This PR improves the implementation of the log-normal graph generator. Author: Joseph E. Gonzalez <joseph.e.gonzalez@gmail.com> Author: Ankur Dave <ankurdave@gmail.com> Closes #720 from jegonzal/graphx_synth_benchmark and squashes the following commits: e40812a [Ankur Dave] Exclude all of GraphX from compatibility checks vs. 1.0.0 bccccad [Ankur Dave] Fix long lines 374678a [Ankur Dave] Bugfix and style changes 1bdf39a [Joseph E. Gonzalez] updating options d943972 [Joseph E. Gonzalez] moving the benchmark application into the examples folder. f4f839a [Joseph E. Gonzalez] Creating a synthetic benchmark script.
* fix java.lang.ClassCastExceptionbaishuo(白硕)2014-06-031-1/+1
| | | | | | | | | | | | | | | | | get Exception when run：bin/run-example org.apache.spark.examples.sql.RDDRelation Exception's detail is: Exception in thread "main" java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Integer at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:106) at org.apache.spark.sql.catalyst.expressions.GenericRow.getInt(Row.scala:145) at org.apache.spark.examples.sql.RDDRelation$.main(RDDRelation.scala:49) at org.apache.spark.examples.sql.RDDRelation.main(RDDRelation.scala) change sql("SELECT COUNT(*) FROM records").collect().head.getInt(0) to sql("SELECT COUNT(*) FROM records").collect().head.getLong(0), then the Exception do not occur any more Author: baishuo(白硕) <vc_java@hotmail.com> Closes #949 from baishuo/master and squashes the following commits: f4b319f [baishuo(白硕)] fix java.lang.ClassCastException
* Fix PEP8 violations in examples/src/main/python.Reynold Xin2014-05-256-19/+25
| | | | | | | | Author: Reynold Xin <rxin@apache.org> Closes #870 from rxin/examples-python-pep8 and squashes the following commits: 2829e84 [Reynold Xin] Fix PEP8 violations in examples/src/main/python.
* [SPARK-1874][MLLIB] Clean up MLlib sample dataXiangrui Meng2014-05-193-2/+36
| | | | | | | | | | | | | | | 1. Added synthetic datasets for `MovieLensALS`, `LinearRegression`, `BinaryClassification`. 2. Embedded instructions in the help message of those example apps. Per discussion with Matei on the JIRA page, new example data is under `data/mllib`. Author: Xiangrui Meng <meng@databricks.com> Closes #833 from mengxr/mllib-sample-data and squashes the following commits: 59f0a18 [Xiangrui Meng] add sample binary classification data 3c2f92f [Xiangrui Meng] add linear regression data 050f1ca [Xiangrui Meng] add a sample dataset for MovieLensALS example
* [SPARK-1824] Remove <master> from Python examplesAndrew Or2014-05-1610-53/+53
| | | | | | | | | | | | | | | | | | | | | A recent PR (#552) fixed this for all Scala / Java examples. We need to do it for python too. Note that this blocks on #799, which makes `bin/pyspark` go through Spark submit. With only the changes in this PR, the only way to run these examples is through Spark submit. Once #799 goes in, you can use `bin/pyspark` to run them too. For example, ``` bin/pyspark examples/src/main/python/pi.py 100 --master local-cluster[4,1,512] ``` Author: Andrew Or <andrewor14@gmail.com> Closes #802 from andrewor14/python-examples and squashes the following commits: cf50b9f [Andrew Or] De-indent python comments (minor) 50f80b1 [Andrew Or] Remove pyFiles from SparkContext construction c362f69 [Andrew Or] Update docs to use spark-submit for python applications 7072c6a [Andrew Or] Merge branch 'master' of github.com:apache/spark into python-examples 427a5f0 [Andrew Or] Update docs d32072c [Andrew Or] Remove <master> from examples + update usages
* Fixed streaming examples docs to use run-example instead of spark-submitTathagata Das2014-05-1417-72/+95
| | | | | | | | | | | | | Pretty self-explanatory Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #722 from tdas/example-fix and squashes the following commits: 7839979 [Tathagata Das] Minor changes. 0673441 [Tathagata Das] Fixed java docs of java streaming example e687123 [Tathagata Das] Fixed scala style errors. 9b8d112 [Tathagata Das] Fixed streaming examples docs to use run-example instead of spark-submit.
* SPARK-1708. Add a ClassTag on Serializer and things that depend on itMatei Zaharia2014-05-101-5/+7
| | | | | | | | | | | | | | | | | This pull request contains a rebased patch from @heathermiller (https://github.com/heathermiller/spark/pull/1) to add ClassTags on Serializer and types that depend on it (Broadcast and AccumulableCollection). Putting these in the public API signatures now will allow us to use Scala Pickling for serialization down the line without breaking binary compatibility. One question remaining is whether we also want them on Accumulator -- Accumulator is passed as part of a bigger Task or TaskResult object via the closure serializer so it doesn't seem super useful to add the ClassTag there. Broadcast and AccumulableCollection in contrast were being serialized directly. CC @rxin, @pwendell, @heathermiller Author: Matei Zaharia <matei@databricks.com> Closes #700 from mateiz/spark-1708 and squashes the following commits: 1a3d8b0 [Matei Zaharia] Use fake ClassTag in Java 3b449ed [Matei Zaharia] test fix 2209a27 [Matei Zaharia] Code style fixes 9d48830 [Matei Zaharia] Add a ClassTag on Serializer and things that depend on it
* Fixing typo in als.pyEvan Sparks2014-05-081-1/+1
| | | | | | | | | | XtY should be Xty. Author: Evan Sparks <evan.sparks@gmail.com> Closes #696 from etrain/patch-2 and squashes the following commits: 634cb8d [Evan Sparks] Fixing typo in als.py
* SPARK-1565, update examples to be used with spark-submit script.Prashant Sharma2014-05-0853-469/+389
| | | | | | | | | | | | | | | | Commit for initial feedback, basically I am curious if we should prompt user for providing args esp. when its mandatory. And can we skip if they are not ? Also few other things that did not work like `bin/spark-submit examples/target/scala-2.10/spark-examples-1.0.0-SNAPSHOT-hadoop1.0.4.jar --class org.apache.spark.examples.SparkALS --arg 100 500 10 5 2` Not all the args get passed properly, may be I have messed up something will try to sort it out hopefully. Author: Prashant Sharma <prashant.s@imaginea.com> Closes #552 from ScrapCodes/SPARK-1565/update-examples and squashes the following commits: 669dd23 [Prashant Sharma] Review comments 2727e70 [Prashant Sharma] SPARK-1565, update examples to be used with spark-submit script.
* Use numpy directly for matrix multiply.Evan Sparks2014-05-081-8/+7
| | | | | | | | | | | | | | Using matrix multiply to compute XtX and XtY yields a 5-20x speedup depending on problem size. For example - the following takes 19s locally after this change vs. 5m21s before the change. (16x speedup). bin/pyspark examples/src/main/python/als.py local[8] 1000 1000 50 10 10 Author: Evan Sparks <evan.sparks@gmail.com> Closes #687 from etrain/patch-1 and squashes the following commits: e094dbc [Evan Sparks] Touching only diaganols on update. d1ab9b6 [Evan Sparks] Use numpy directly for matrix multiply.
* SPARK-1668: Add implicit preference as an option to examples/MovieLensALSSandeep2014-05-081-9/+46
| | | | | | | | | | | | | | | | Add --implicitPrefs as an command-line option to the example app MovieLensALS under examples/ Author: Sandeep <sandeep@techaddict.me> Closes #597 from techaddict/SPARK-1668 and squashes the following commits: 8b371dc [Sandeep] Second Pass on reviews by mengxr eca9d37 [Sandeep] based on mengxr's suggestions 937e54c [Sandeep] Changes 5149d40 [Sandeep] Changes based on review 1dd7657 [Sandeep] use mean() 42444d7 [Sandeep] Based on Suggestions by mengxr e3082fa [Sandeep] SPARK-1668: Add implicit preference as an option to examples/MovieLensALS Add --implicitPrefs as an command-line option to the example app MovieLensALS under examples/
* SPARK-1544 Add support for deep decision trees.Manish Amde2014-05-071-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | @etrain and I came with a PR for arbitrarily deep decision trees at the cost of multiple passes over the data at deep tree levels. To summarize: 1) We take a parameter that indicates the amount of memory users want to reserve for computation on each worker (and 2x that at the driver). 2) Using that information, we calculate two things - the maximum depth to which we train as usual (which is, implicitly, the maximum number of nodes we want to train in parallel), and the size of the groups we should use in the case where we exceed this depth. cc: @atalwalkar, @hirakendu, @mengxr Author: Manish Amde <manish9ue@gmail.com> Author: manishamde <manish9ue@gmail.com> Author: Evan Sparks <sparks@cs.berkeley.edu> Closes #475 from manishamde/deep_tree and squashes the following commits: 968ca9d [Manish Amde] merged master 7fc9545 [Manish Amde] added docs ce004a1 [Manish Amde] minor formatting b27ad2c [Manish Amde] formatting 426bb28 [Manish Amde] programming guide blurb 8053fed [Manish Amde] more formatting 5eca9e4 [Manish Amde] grammar 4731cda [Manish Amde] formatting 5e82202 [Manish Amde] added documentation, fixed off by 1 error in max level calculation cbd9f14 [Manish Amde] modified scala.math to math dad9652 [Manish Amde] removed unused imports e0426ee [Manish Amde] renamed parameter 718506b [Manish Amde] added unit test 1517155 [Manish Amde] updated documentation 9dbdabe [Manish Amde] merge from master 719d009 [Manish Amde] updating user documentation fecf89a [manishamde] Merge pull request #6 from etrain/deep_tree 0287772 [Evan Sparks] Fixing scalastyle issue. 2f1e093 [Manish Amde] minor: added doc for maxMemory parameter 2f6072c [manishamde] Merge pull request #5 from etrain/deep_tree abc5a23 [Evan Sparks] Parameterizing max memory. 50b143a [Manish Amde] adding support for very deep trees
* [HOTFIX] SPARK-1637: There are some Streaming examples added after the PR ↵Sandeep2014-05-062-6/+4
| | | | | | | | | | | | | #571 was last updated. This resulted in Compilation Errors. cc @mateiz project not compiling currently. Author: Sandeep <sandeep@techaddict.me> Closes #673 from techaddict/SPARK-1637-HOTFIX and squashes the following commits: b512f4f [Sandeep] [SPARK-1637][HOTFIX] There are some Streaming examples added after the PR #571 was last updated. This resulted in Compilation Errors.
* SPARK-1637: Clean up examples for 1.0Sandeep2014-05-0636-52/+625
| | | | | | | | | | | | | | | | | | - [x] Move all of them into subpackages of org.apache.spark.examples (right now some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib) - [x] Move Python examples into examples/src/main/python - [x] Update docs to reflect these changes Author: Sandeep <sandeep@techaddict.me> This patch had conflicts when merged, resolved by Committer: Matei Zaharia <matei@databricks.com> Closes #571 from techaddict/SPARK-1637 and squashes the following commits: 47ef86c [Sandeep] Changes based on Discussions on PR, removing use of RawTextHelper from examples 8ed2d3f [Sandeep] Docs Updated for changes, Change for java examples 5f96121 [Sandeep] Move Python examples into examples/src/main/python 0a8dd77 [Sandeep] Move all Scala Examples to org.apache.spark.examples (some are in org.apache.spark.streaming.examples, for instance, and others are in org.apache.spark.examples.mllib)
* [SPARK-1594][MLLIB] Cleaning up MLlib APIs and guideXiangrui Meng2014-05-053-6/+6
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Final pass before the v1.0 release. * Remove `VectorRDDs` * Move `BinaryClassificationMetrics` from `evaluation.binary` to `evaluation` * Change default value of `addIntercept` to false and allow to add intercept in Ridge and Lasso. * Clean `DecisionTree` package doc and test suite. * Mark model constructors `private[spark]` * Rename `loadLibSVMData` to `loadLibSVMFile` and hide `LabelParser` from users. * Add `saveAsLibSVMFile`. * Add `appendBias` to `MLUtils`. Author: Xiangrui Meng <meng@databricks.com> Closes #524 from mengxr/mllib-cleaning and squashes the following commits: 295dc8b [Xiangrui Meng] update loadLibSVMFile doc 1977ac1 [Xiangrui Meng] fix doc of appendBias 649fcf0 [Xiangrui Meng] rename loadLibSVMData to loadLibSVMFile; hide LabelParser from user APIs 54b812c [Xiangrui Meng] add appendBias a71e7d0 [Xiangrui Meng] add saveAsLibSVMFile d976295 [Xiangrui Meng] Merge branch 'master' into mllib-cleaning b7e5cec [Xiangrui Meng] remove some experimental annotations and make model constructors private[mllib] 9b02b93 [Xiangrui Meng] minor code style update a593ddc [Xiangrui Meng] fix python tests fc28c18 [Xiangrui Meng] mark more classes experimental f6cbbff [Xiangrui Meng] fix Java tests 0af70b0 [Xiangrui Meng] minor 6e139ef [Xiangrui Meng] Merge branch 'master' into mllib-cleaning 94e6dce [Xiangrui Meng] move BinaryLabelCounter and BinaryConfusionMatrixImpl to evaluation.binary df34907 [Xiangrui Meng] clean DecisionTreeSuite to use LocalSparkContext c81807f [Xiangrui Meng] set the default value of AddIntercept to false 03389c0 [Xiangrui Meng] allow to add intercept in Ridge and Lasso c66c56f [Xiangrui Meng] move tree md to package object doc a2695df [Xiangrui Meng] update guide for BinaryClassificationMetrics 9194f4c [Xiangrui Meng] move BinaryClassificationMetrics one level up 1c1a0e3 [Xiangrui Meng] remove VectorRDDs because it only contains one function that is not necessary for us to maintain
* [SPARK-1504], [SPARK-1505], [SPARK-1558] Updated Spark Streaming guideTathagata Das2014-05-054-5/+9
| | | | | | | | | | | | | | | | | | | | | | - SPARK-1558: Updated custom receiver guide to match it with the new API - SPARK-1504: Added deployment and monitoring subsection to streaming - SPARK-1505: Added migration guide for migrating from 0.9.x and below to Spark 1.0 - Updated various Java streaming examples to use JavaReceiverInputDStream to highlight the API change. - Removed the requirement for cleaner ttl from streaming guide Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #652 from tdas/doc-fix and squashes the following commits: cb4f4b7 [Tathagata Das] Possible fix for flaky graceful shutdown test. ab71f7f [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into doc-fix 8d6ff9b [Tathagata Das] Addded migration guide to Spark Streaming. 7d171df [Tathagata Das] Added reference to JavaReceiverInputStream in examples and streaming guide. 49edd7c [Tathagata Das] Change java doc links to use Java docs. 11528d7 [Tathagata Das] Updated links on index page. ff80970 [Tathagata Das] More updates to streaming guide. 4dc42e9 [Tathagata Das] Added monitoring and other documentation in the streaming guide. 14c6564 [Tathagata Das] Updated custom receiver guide.
* Handle the vals that never usedWangTao2014-04-293-3/+1
| | | | | | | | | | | | In XORShiftRandom.scala, use val "million" instead of constant "1e6.toInt". Delete vals that never used in other files. Author: WangTao <barneystinson@aliyun.com> Closes #565 from WangTaoTheTonic/master and squashes the following commits: 17cacfc [WangTao] Handle the unused assignment, method parameters and symbol inspected by Intellij IDEA 37b4090 [WangTao] Handle the vals that never used
* [SPARK-1636][MLLIB] Move main methods to examplesXiangrui Meng2014-04-298-16/+781
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | * `NaiveBayes` -> `SparseNaiveBayes` * `KMeans` -> `DenseKMeans` * `SVMWithSGD` and `LogisticRegerssionWithSGD` -> `BinaryClassification` * `ALS` -> `MovieLensALS` * `LinearRegressionWithSGD`, `LassoWithSGD`, and `RidgeRegressionWithSGD` -> `LinearRegression` * `DecisionTree` -> `DecisionTreeRunner` `scopt` is used for parsing command-line parameters. `scopt` has MIT license and it only depends on `scala-library`. Example help message: ~~~ BinaryClassification: an example app for binary classification. Usage: BinaryClassification [options] <input> --numIterations <value> number of iterations --stepSize <value> initial step size, default: 1.0 --algorithm <value> algorithm (SVM,LR), default: LR --regType <value> regularization type (L1,L2), default: L2 --regParam <value> regularization parameter, default: 0.1 <input> input paths to labeled examples in LIBSVM format ~~~ Author: Xiangrui Meng <meng@databricks.com> Closes #584 from mengxr/mllib-main and squashes the following commits: 7b58c60 [Xiangrui Meng] minor 6e35d7e [Xiangrui Meng] make imports explicit and fix code style c6178c9 [Xiangrui Meng] update TS PCA/SVD to use new spark-submit 6acff75 [Xiangrui Meng] use scopt for DecisionTreeRunner be86069 [Xiangrui Meng] use main instead of extending App b3edf68 [Xiangrui Meng] move DecisionTree's main method to examples 8bfaa5a [Xiangrui Meng] change NaiveBayesParams to Params fe23dcb [Xiangrui Meng] remove main from KMeans and add DenseKMeans as an example 67f4448 [Xiangrui Meng] remove main methods from linear regression algorithms and add LinearRegression example b066bbc [Xiangrui Meng] remove main from ALS and add MovieLensALS example b040f3b [Xiangrui Meng] change BinaryClassificationParams to Params 577945b [Xiangrui Meng] remove unused imports from NB 3d299bc [Xiangrui Meng] remove main from LR/SVM and add an example app for binary classification f70878e [Xiangrui Meng] remove main from NaiveBayes and add an example NaiveBayes app 01ec2cd [Xiangrui Meng] Merge branch 'master' into mllib-main 9420692 [Xiangrui Meng] add scopt to examples dependencies
* [SPARK-1633][Streaming] Java API unit test and example for custom streaming ↵Tathagata Das2014-04-283-4/+261
| | | | | | | | | | | | | | | | | | | | | | receiver in Java Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #558 from tdas/more-fixes and squashes the following commits: c0c84e6 [Tathagata Das] Removing extra println() d8a8cf4 [Tathagata Das] More tweaks to make unit test work in Jenkins. b7caa98 [Tathagata Das] More tweaks. d337367 [Tathagata Das] More tweaks 22d6f2d [Tathagata Das] Merge remote-tracking branch 'apache/master' into more-fixes 40a961b [Tathagata Das] Modified java test to reduce flakiness. 9410ca6 [Tathagata Das] Merge remote-tracking branch 'apache/master' into more-fixes 86d9147 [Tathagata Das] scala style fix 2f3d7b1 [Tathagata Das] Added Scala custom receiver example. d677611 [Tathagata Das] Merge remote-tracking branch 'apache/master' into more-fixes bec3fc2 [Tathagata Das] Added license. 51d6514 [Tathagata Das] Fixed docs on receiver. 81aafa0 [Tathagata Das] Added Java test for Receiver API, and added JavaCustomReceiver example.
* Update KafkaWordCount.scalabaishuo(白硕)2014-04-251-1/+1
| | | | | | | | | | modify the required args number Author: baishuo(白硕) <vc_java@hotmail.com> Closes #523 from baishuo/master and squashes the following commits: 0368ba9 [baishuo(白硕)] Update KafkaWordCount.scala
* SPARK-1586 Windows build fixesMridul Muralidharan2014-04-241-1/+1
| | | | | | | | | | | | | | | | | | | Unfortunately, this is not exhaustive - particularly hive tests still fail due to path issues. Author: Mridul Muralidharan <mridulm80@apache.org> This patch had conflicts when merged, resolved by Committer: Matei Zaharia <matei@databricks.com> Closes #505 from mridulm/windows_fixes and squashes the following commits: ef12283 [Mridul Muralidharan] Move to org.apache.commons.lang3 for StringEscapeUtils. Earlier version was buggy appparently cdae406 [Mridul Muralidharan] Remove leaked changes from > 2G fix branch 3267f4b [Mridul Muralidharan] Fix build failures 35b277a [Mridul Muralidharan] Fix Scalastyle failures bc69d14 [Mridul Muralidharan] Change from hardcoded path separator 10c4d78 [Mridul Muralidharan] Use explicit encoding while using getBytes 1337abd [Mridul Muralidharan] fix classpath while running in windows
* Fix Scala StyleSandeep2014-04-242-4/+6
| | | | | | | | | | | | | | Any comments are welcome Author: Sandeep <sandeep@techaddict.me> Closes #531 from techaddict/stylefix-1 and squashes the following commits: 7492730 [Sandeep] Pass 4 98b2428 [Sandeep] fix rxin suggestions b5e2e6f [Sandeep] Pass 3 05932d7 [Sandeep] fix if else styling 2 08690e5 [Sandeep] fix if else styling
* [SQL] SPARK-1571 Mistake in java example codeMichael Armbrust2014-04-221-4/+4
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #496 from marmbrus/javaBeanBug and squashes the following commits: 644fedd [Michael Armbrust] Bean methods must be public.
* SPARK-1496: Have jarOfClass return Option[String]Patrick Wendell2014-04-2236-36/+36
| | | | | | | | | | A simple change, mostly had to change a bunch of example code. Author: Patrick Wendell <pwendell@gmail.com> Closes #438 from pwendell/jar-of-class and squashes the following commits: aa010ff [Patrick Wendell] SPARK-1496: Have jarOfClass return Option[String]
* [SPARK-1332] Improve Spark Streaming's Network Receiver and InputDStream API ↵Tathagata Das2014-04-211-3/+3
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | [WIP] The current Network Receiver API makes it slightly complicated to right a new receiver as one needs to create an instance of BlockGenerator as shown in SocketReceiver https://github.com/apache/spark/blob/master/streaming/src/main/scala/org/apache/spark/streaming/dstream/SocketInputDStream.scala#L51 Exposing the BlockGenerator interface has made it harder to improve the receiving process. The API of NetworkReceiver (which was not a very stable API anyways) needs to be change if we are to ensure future stability. Additionally, the functions like streamingContext.socketStream that create input streams, return DStream objects. That makes it hard to expose functionality (say, rate limits) unique to input dstreams. They should return InputDStream or NetworkInputDStream. This is still not yet implemented. This PR is blocked on the graceful shutdown PR #247 Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #300 from tdas/network-receiver-api and squashes the following commits: ea27b38 [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into network-receiver-api 3a4777c [Tathagata Das] Renamed NetworkInputDStream to ReceiverInputDStream, and ActorReceiver related stuff. 838dd39 [Tathagata Das] Added more events to the StreamingListener to report errors and stopped receivers. a75c7a6 [Tathagata Das] Address some PR comments and fixed other issues. 91bfa72 [Tathagata Das] Fixed bugs. 8533094 [Tathagata Das] Scala style fixes. 028bde6 [Tathagata Das] Further refactored receiver to allow restarting of a receiver. 43f5290 [Tathagata Das] Made functions that create input streams return InputDStream and NetworkInputDStream, for both Scala and Java. 2c94579 [Tathagata Das] Fixed graceful shutdown by removing interrupts on receiving thread. 9e37a0b [Tathagata Das] Merge remote-tracking branch 'apache-github/master' into network-receiver-api 3223e95 [Tathagata Das] Refactored the code that runs the NetworkReceiver into further classes and traits to make them more testable. a36cc48 [Tathagata Das] Refactored the NetworkReceiver API for future stability.
* SPARK-1462: Examples of ML algorithms are using deprecated APIsSandeep2014-04-1620-66/+100
| | | | | | | | | | | | This will also fix SPARK-1464: Update MLLib Examples to Use Breeze. Author: Sandeep <sandeep@techaddict.me> Closes #416 from techaddict/1462 and squashes the following commits: a43638e [Sandeep] Some Style Changes 3ce69c3 [Sandeep] Fix Ordering and Naming of Imports in Examples 6c7e543 [Sandeep] SPARK-1462: Examples of ML algorithms are using deprecated APIs
* SPARK-1488. Resolve scalac feature warnings during buildSean Owen2014-04-141-0/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | For your consideration: scalac currently notes a number of feature warnings during compilation: ``` [warn] there were 65 feature warning(s); re-run with -feature for details ``` Warnings are like: ``` [warn] /Users/srowen/Documents/spark/core/src/main/scala/org/apache/spark/SparkContext.scala:1261: implicit conversion method rddToPairRDDFunctions should be enabled [warn] by making the implicit value scala.language.implicitConversions visible. [warn] This can be achieved by adding the import clause 'import scala.language.implicitConversions' [warn] or by setting the compiler option -language:implicitConversions. [warn] See the Scala docs for value scala.language.implicitConversions for a discussion [warn] why the feature should be explicitly enabled. [warn] implicit def rddToPairRDDFunctions[K: ClassTag, V: ClassTag](rdd: RDD[(K, V)]) = [warn] ^ ``` scalac is suggesting that it's just best practice to explicitly enable certain language features by importing them where used. This PR simply adds the imports it suggests (and squashes one other Java warning along the way). This leaves just deprecation warnings in the build. Author: Sean Owen <sowen@cloudera.com> Closes #404 from srowen/SPARK-1488 and squashes the following commits: 8598980 [Sean Owen] Quiet scalac warnings about language features by explicitly importing language features. 39bc831 [Sean Owen] Enable -feature in scalac to emit language feature warnings
* SPARK-1446: Spark examples should not do a System.exitSandeep2014-04-1035-67/+60
| | | | | | | | | | | Spark examples should exit nice using SparkContext.stop() method, rather than System.exit System.exit can cause issues like in SPARK-1407 Author: Sandeep <sandeep@techaddict.me> Closes #370 from techaddict/1446 and squashes the following commits: e9234cf [Sandeep] SPARK-1446: Spark examples should not do a System.exit Spark examples should exit nice using SparkContext.stop() method, rather than System.exit System.exit can cause issues like in SPARK-1407
* SPARK-1407 drain event queue before stopping event loggerKan Zhang2014-04-091-1/+1
| | | | | | | | | Author: Kan Zhang <kzhang@apache.org> Closes #366 from kanzhang/SPARK-1407 and squashes the following commits: cd0629f [Kan Zhang] code refactoring and adding test b073ee6 [Kan Zhang] SPARK-1407 drain event queue before stopping event logger
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