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* [SPARK-9021] [PYSPARK] Change RDD.aggregate() to do reduce(mapPartitions()) ↵Nicholas Hwang2015-07-192-14/+137
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | instead of mapPartitions.fold() I'm relatively new to Spark and functional programming, so forgive me if this pull request is just a result of my misunderstanding of how Spark should be used. Currently, if one happens to use a mutable object as `zeroValue` for `RDD.aggregate()`, possibly unexpected behavior can occur. This is because pyspark's current implementation of `RDD.aggregate()` does not serialize or make a copy of `zeroValue` before handing it off to `RDD.mapPartitions(...).fold(...)`. This results in a single reference to `zeroValue` being used for both `RDD.mapPartitions()` and `RDD.fold()` on each partition. This can result in strange accumulator values being fed into each partition's call to `RDD.fold()`, as the `zeroValue` may have been changed in-place during the `RDD.mapPartitions()` call. As an illustrative example, submit the following to `spark-submit`: ``` from pyspark import SparkConf, SparkContext import collections def updateCounter(acc, val): print 'update acc:', acc print 'update val:', val acc[val] += 1 return acc def comboCounter(acc1, acc2): print 'combo acc1:', acc1 print 'combo acc2:', acc2 acc1.update(acc2) return acc1 def main(): conf = SparkConf().setMaster("local").setAppName("Aggregate with Counter") sc = SparkContext(conf = conf) print '======= AGGREGATING with ONE PARTITION =======' print sc.parallelize(range(1,10), 1).aggregate(collections.Counter(), updateCounter, comboCounter) print '======= AGGREGATING with TWO PARTITIONS =======' print sc.parallelize(range(1,10), 2).aggregate(collections.Counter(), updateCounter, comboCounter) if __name__ == "__main__": main() ``` One probably expects this to output the following: ``` Counter({1: 1, 2: 1, 3: 1, 4: 1, 5: 1, 6: 1, 7: 1, 8: 1, 9: 1}) ``` But it instead outputs this (regardless of the number of partitions): ``` Counter({1: 2, 2: 2, 3: 2, 4: 2, 5: 2, 6: 2, 7: 2, 8: 2, 9: 2}) ``` This is because (I believe) `zeroValue` gets passed correctly to each partition, but after `RDD.mapPartitions()` completes, the `zeroValue` object has been updated and is then passed to `RDD.fold()`, which results in all items being double-counted within each partition before being finally reduced at the calling node. I realize that this type of calculation is typically done by `RDD.mapPartitions(...).reduceByKey(...)`, but hopefully this illustrates some potentially confusing behavior. I also noticed that other `RDD` methods use this `deepcopy` approach to creating unique copies of `zeroValue` (i.e., `RDD.aggregateByKey()` and `RDD.foldByKey()`), and that the Scala implementations do seem to serialize the `zeroValue` object appropriately to prevent this type of behavior. Author: Nicholas Hwang <moogling@gmail.com> Closes #7378 from njhwang/master and squashes the following commits: 659bb27 [Nicholas Hwang] Fixed RDD.aggregate() to perform a reduce operation on collected mapPartitions results, similar to how fold currently is implemented. This prevents an initial combOp being performed on each partition with zeroValue (which leads to unexpected behavior if zeroValue is a mutable object) before being combOp'ed with other partition results. 8d8d694 [Nicholas Hwang] Changed dict construction to be compatible with Python 2.6 (cannot use list comprehensions to make dicts) 56eb2ab [Nicholas Hwang] Fixed whitespace after colon to conform with PEP8 391de4a [Nicholas Hwang] Removed used of collections.Counter from RDD tests for Python 2.6 compatibility; used defaultdict(int) instead. Merged treeAggregate test with mutable zero value into aggregate test to reduce code duplication. 2fa4e4b [Nicholas Hwang] Merge branch 'master' of https://github.com/njhwang/spark ba528bd [Nicholas Hwang] Updated comments regarding protection of zeroValue from mutation in RDD.aggregate(). Added regression tests for aggregate(), fold(), aggregateByKey(), foldByKey(), and treeAggregate(), all with both 1 and 2 partition RDDs. Confirmed that aggregate() is the only problematic implementation as of commit 257236c3e17906098f801cbc2059e7a9054e8cab. Also replaced some parallelizations of ranges with xranges, per the documentation's recommendations of preferring xrange over range. 7820391 [Nicholas Hwang] Updated comments regarding protection of zeroValue from mutation in RDD.aggregate(). Added regression tests for aggregate(), fold(), aggregateByKey(), foldByKey(), and treeAggregate(), all with both 1 and 2 partition RDDs. Confirmed that aggregate() is the only problematic implementation as of commit 257236c3e17906098f801cbc2059e7a9054e8cab. 90d1544 [Nicholas Hwang] Made sure RDD.aggregate() makes a deepcopy of zeroValue for all partitions; this ensures that the mapPartitions call works with unique copies of zeroValue in each partition, and prevents a single reference to zeroValue being used for both map and fold calls on each partition (resulting in possibly unexpected behavior).
* [SQL] Make date/time functions more consistent with other database systems.Reynold Xin2015-07-191-21/+14
| | | | | | | | | | | | | | | | | | | | | This pull request fixes some of the problems in #6981. - Added date functions to `__all__` so they get exposed - Rename day_of_month -> dayofmonth - Rename day_in_year -> dayofyear - Rename week_of_year -> weekofyear - Removed "day" from Scala/Python API since it is ambiguous. Only leaving the alias in SQL. Author: Reynold Xin <rxin@databricks.com> This patch had conflicts when merged, resolved by Committer: Reynold Xin <rxin@databricks.com> Closes #7506 from rxin/datetime and squashes the following commits: 0cb24d9 [Reynold Xin] Export all functions in Python. e44a4a0 [Reynold Xin] Removed day function from Scala and Python. 9c08fdc [Reynold Xin] [SQL] Make date/time functions more consistent with other database systems.
* [SPARK-9166][SQL][PYSPARK] Capture and hide IllegalArgumentException in ↵Liang-Chi Hsieh2015-07-192-2/+17
| | | | | | | | | | | | | | | | | Python API JIRA: https://issues.apache.org/jira/browse/SPARK-9166 Simply capture and hide `IllegalArgumentException` in Python API. Author: Liang-Chi Hsieh <viirya@appier.com> Closes #7497 from viirya/hide_illegalargument and squashes the following commits: 8324dce [Liang-Chi Hsieh] Fix python style. 9ace67d [Liang-Chi Hsieh] Also check exception message. 8b2ce5c [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into hide_illegalargument 7be016a [Liang-Chi Hsieh] Capture and hide IllegalArgumentException in Python.
* [SPARK-8199][SPARK-8184][SPARK-8183][SPARK-8182][SPARK-8181][SPARK-8180][SPA ↵Tarek Auel2015-07-181-0/+150
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | RK-8179][SPARK-8177][SPARK-8178][SPARK-9115][SQL] date functions Jira: https://issues.apache.org/jira/browse/SPARK-8199 https://issues.apache.org/jira/browse/SPARK-8184 https://issues.apache.org/jira/browse/SPARK-8183 https://issues.apache.org/jira/browse/SPARK-8182 https://issues.apache.org/jira/browse/SPARK-8181 https://issues.apache.org/jira/browse/SPARK-8180 https://issues.apache.org/jira/browse/SPARK-8179 https://issues.apache.org/jira/browse/SPARK-8177 https://issues.apache.org/jira/browse/SPARK-8179 https://issues.apache.org/jira/browse/SPARK-9115 Regarding `day`and `dayofmonth` are both necessary? ~~I am going to add `Quarter` to this PR as well.~~ Done. ~~As soon as the Scala coding is reviewed and discussed, I'll add the python api.~~ Done Author: Tarek Auel <tarek.auel@googlemail.com> Author: Tarek Auel <tarek.auel@gmail.com> Closes #6981 from tarekauel/SPARK-8199 and squashes the following commits: f7b4c8c [Tarek Auel] [SPARK-8199] fixed bug in tests bb567b6 [Tarek Auel] [SPARK-8199] fixed test 3e095ba [Tarek Auel] [SPARK-8199] style and timezone fix 256c357 [Tarek Auel] [SPARK-8199] code cleanup 5983dcc [Tarek Auel] [SPARK-8199] whitespace fix 6e0c78f [Tarek Auel] [SPARK-8199] removed setTimeZone in tests, according to cloud-fans comment in #7488 4afc09c [Tarek Auel] [SPARK-8199] concise leap year handling ea6c110 [Tarek Auel] [SPARK-8199] fix after merging master 70238e0 [Tarek Auel] Merge branch 'master' into SPARK-8199 3c6ae2e [Tarek Auel] [SPARK-8199] removed binary search fb98ba0 [Tarek Auel] [SPARK-8199] python docstring fix cdfae27 [Tarek Auel] [SPARK-8199] cleanup & python docstring fix 746b80a [Tarek Auel] [SPARK-8199] build fix 0ad6db8 [Tarek Auel] [SPARK-8199] minor fix 523542d [Tarek Auel] [SPARK-8199] address comments 2259299 [Tarek Auel] [SPARK-8199] day_of_month alias d01b977 [Tarek Auel] [SPARK-8199] python underscore 56c4a92 [Tarek Auel] [SPARK-8199] update python docu e223bc0 [Tarek Auel] [SPARK-8199] refactoring d6aa14e [Tarek Auel] [SPARK-8199] fixed Hive compatibility b382267 [Tarek Auel] [SPARK-8199] fixed bug in day calculation; removed set TimeZone in HiveCompatibilitySuite for test purposes; removed Hive tests for second and minute, because we can cast '2015-03-18' to a timestamp and extract a minute/second from it 1b2e540 [Tarek Auel] [SPARK-8119] style fix 0852655 [Tarek Auel] [SPARK-8119] changed from ExpectsInputTypes to implicit casts ec87c69 [Tarek Auel] [SPARK-8119] bug fixing and refactoring 1358cdc [Tarek Auel] Merge remote-tracking branch 'origin/master' into SPARK-8199 740af0e [Tarek Auel] implement date function using a calculation based on days 4fb66da [Tarek Auel] WIP: date functions on calculation only 1a436c9 [Tarek Auel] wip f775f39 [Tarek Auel] fixed return type ad17e96 [Tarek Auel] improved implementation c42b444 [Tarek Auel] Removed merge conflict file ccb723c [Tarek Auel] [SPARK-8199] style and fixed merge issues 10e4ad1 [Tarek Auel] Merge branch 'master' into date-functions-fast 7d9f0eb [Tarek Auel] [SPARK-8199] git renaming issue f3e7a9f [Tarek Auel] [SPARK-8199] revert change in DataFrameFunctionsSuite 6f5d95c [Tarek Auel] [SPARK-8199] fixed year interval d9f8ac3 [Tarek Auel] [SPARK-8199] implement fast track 7bc9d93 [Tarek Auel] Merge branch 'master' into SPARK-8199 5a105d9 [Tarek Auel] [SPARK-8199] rebase after #6985 got merged eb6760d [Tarek Auel] Merge branch 'master' into SPARK-8199 f120415 [Tarek Auel] improved runtime a8edebd [Tarek Auel] use Calendar instead of SimpleDateFormat 5fe74e1 [Tarek Auel] fixed python style 3bfac90 [Tarek Auel] fixed style 356df78 [Tarek Auel] rely on cast mechanism of Spark. Simplified implementation 02efc5d [Tarek Auel] removed doubled code a5ea120 [Tarek Auel] added python api; changed test to be more meaningful b680db6 [Tarek Auel] added codegeneration to all functions c739788 [Tarek Auel] added support for quarter SPARK-8178 849fb41 [Tarek Auel] fixed stupid test 638596f [Tarek Auel] improved codegen 4d8049b [Tarek Auel] fixed tests and added type check 5ebb235 [Tarek Auel] resolved naming conflict d0e2f99 [Tarek Auel] date functions
* [SPARK-7879] [MLLIB] KMeans API for spark.ml PipelinesYu ISHIKAWA2015-07-171-0/+206
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | I Implemented the KMeans API for spark.ml Pipelines. But it doesn't include clustering abstractions for spark.ml (SPARK-7610). It would fit for another issues. And I'll try it later, since we are trying to add the hierarchical clustering algorithms in another issue. Thanks. [SPARK-7879] KMeans API for spark.ml Pipelines - ASF JIRA https://issues.apache.org/jira/browse/SPARK-7879 Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #6756 from yu-iskw/SPARK-7879 and squashes the following commits: be752de [Yu ISHIKAWA] Add assertions a14939b [Yu ISHIKAWA] Fix the dashed line's length in pyspark.ml.rst 4c61693 [Yu ISHIKAWA] Remove the test about whether "features" and "prediction" columns exist or not in Python fb2417c [Yu ISHIKAWA] Use getInt, instead of get f397be4 [Yu ISHIKAWA] Switch the comparisons. ca78b7d [Yu ISHIKAWA] Add the Scala docs about the constraints of each parameter. effc650 [Yu ISHIKAWA] Using expertSetParam and expertGetParam c8dc6e6 [Yu ISHIKAWA] Remove an unnecessary test 19a9d63 [Yu ISHIKAWA] Include spark.ml.clustering to python tests 1abb19c [Yu ISHIKAWA] Add the statements about spark.ml.clustering into pyspark.ml.rst f8338bc [Yu ISHIKAWA] Add the placeholders in Python 4a03003 [Yu ISHIKAWA] Test for contains in Python 6566c8b [Yu ISHIKAWA] Use `get`, instead of `apply` 288e8d5 [Yu ISHIKAWA] Using `contains` to check the column names 5a7d574 [Yu ISHIKAWA] Renamce `validateInitializationMode` to `validateInitMode` and remove throwing exception 97cfae3 [Yu ISHIKAWA] Fix the type of return value of `KMeans.copy` e933723 [Yu ISHIKAWA] Remove the default value of seed from the Model class 978ee2c [Yu ISHIKAWA] Modify the docs of KMeans, according to mllib's KMeans 2ec80bc [Yu ISHIKAWA] Fit on 1 line e186be1 [Yu ISHIKAWA] Make a few variables, setters and getters be expert ones b2c205c [Yu ISHIKAWA] Rename the method `getInitializationSteps` to `getInitSteps` and `setInitializationSteps` to `setInitSteps` in Scala and Python f43f5b4 [Yu ISHIKAWA] Rename the method `getInitializationMode` to `getInitMode` and `setInitializationMode` to `setInitMode` in Scala and Python 3cb5ba4 [Yu ISHIKAWA] Modify the description about epsilon and the validation 4fa409b [Yu ISHIKAWA] Add a comment about the default value of epsilon 2f392e1 [Yu ISHIKAWA] Make some variables `final` and Use `IntParam` and `DoubleParam` 19326f8 [Yu ISHIKAWA] Use `udf`, instead of callUDF 4d2ad1e [Yu ISHIKAWA] Modify the indentations 0ae422f [Yu ISHIKAWA] Add a test for `setParams` 4ff7913 [Yu ISHIKAWA] Add "ml.clustering" to `javacOptions` in SparkBuild.scala 11ffdf1 [Yu ISHIKAWA] Use `===` and the variable 220a176 [Yu ISHIKAWA] Set a random seed in the unit testing 92c3efc [Yu ISHIKAWA] Make the points for a test be fewer c758692 [Yu ISHIKAWA] Modify the parameters of KMeans in Python 6aca147 [Yu ISHIKAWA] Add some unit testings to validate the setter methods 687cacc [Yu ISHIKAWA] Alias mllib.KMeans as MLlibKMeans in KMeansSuite.scala a4dfbef [Yu ISHIKAWA] Modify the last brace and indentations 5bedc51 [Yu ISHIKAWA] Remve an extra new line 444c289 [Yu ISHIKAWA] Add the validation for `runs` e41989c [Yu ISHIKAWA] Modify how to validate `initStep` 7ea133a [Yu ISHIKAWA] Change how to validate `initMode` 7991e15 [Yu ISHIKAWA] Add a validation for `k` c2df35d [Yu ISHIKAWA] Make `predict` private 93aa2ff [Yu ISHIKAWA] Use `withColumn` in `transform` d3a79f7 [Yu ISHIKAWA] Remove the inhefited docs e9532e1 [Yu ISHIKAWA] make `parentModel` of KMeansModel private 8559772 [Yu ISHIKAWA] Remove the `paramMap` parameter of KMeans 6684850 [Yu ISHIKAWA] Rename `initializationSteps` to `initSteps` 99b1b96 [Yu ISHIKAWA] Rename `initializationMode` to `initMode` 79ea82b [Yu ISHIKAWA] Modify the parameters of KMeans docs 6569bcd [Yu ISHIKAWA] Change how to set the default values with `setDefault` 20a795a [Yu ISHIKAWA] Change how to set the default values with `setDefault` 11c2a12 [Yu ISHIKAWA] Limit the imports badb481 [Yu ISHIKAWA] Alias spark.mllib.{KMeans, KMeansModel} f80319a [Yu ISHIKAWA] Rebase mater branch and add copy methods 85d92b1 [Yu ISHIKAWA] Add `KMeans.setPredictionCol` aa9469d [Yu ISHIKAWA] Fix a python test suite error caused by python 3.x c2d6bcb [Yu ISHIKAWA] ADD Java test suites of the KMeans API for spark.ml Pipeline 598ed2e [Yu ISHIKAWA] Implement the KMeans API for spark.ml Pipelines in Python 63ad785 [Yu ISHIKAWA] Implement the KMeans API for spark.ml Pipelines in Scala
* [SPARK-8792] [ML] Add Python API for PCA transformerYanbo Liang2015-07-171-1/+63
| | | | | | | | | | | Add Python API for PCA transformer Author: Yanbo Liang <ybliang8@gmail.com> Closes #7190 from yanboliang/spark-8792 and squashes the following commits: 8f4ac31 [Yanbo Liang] address comments 8a79cc0 [Yanbo Liang] Add Python API for PCA transformer
* [SPARK-9138] [MLLIB] fix Vectors.denseDavies Liu2015-07-171-3/+8
| | | | | | | | | | | | Vectors.dense() should accept numbers directly, like the one in Scala. We already use it in doctests, it worked by luck. cc mengxr jkbradley Author: Davies Liu <davies@databricks.com> Closes #7476 from davies/fix_vectors_dense and squashes the following commits: e0fd292 [Davies Liu] fix Vectors.dense
* [SPARK-8646] PySpark does not run on YARN if master not provided in command lineLianhui Wang2015-07-161-0/+5
| | | | | | | | | | | andrewor14 davies vanzin can you take a look at this? thanks Author: Lianhui Wang <lianhuiwang09@gmail.com> Closes #7438 from lianhuiwang/SPARK-8646 and squashes the following commits: cb3f12d [Lianhui Wang] add whitespace 6d874a6 [Lianhui Wang] support pyspark for yarn-client
* [SPARK-8245][SQL] FormatNumber/Length Support for ExpressionCheng Hao2015-07-151-5/+20
| | | | | | | | | | | | | | - `BinaryType` for `Length` - `FormatNumber` Author: Cheng Hao <hao.cheng@intel.com> Closes #7034 from chenghao-intel/expression and squashes the following commits: e534b87 [Cheng Hao] python api style issue 601bbf5 [Cheng Hao] add python API support 3ebe288 [Cheng Hao] update as feedback 52274f7 [Cheng Hao] add support for udf_format_number and length for binary
* [SPARK-9005] [MLLIB] Fix RegressionMetrics computation of explainedVarianceFeynman Liang2015-07-151-1/+1
| | | | | | | | | | | | | | | | Fixes implementation of `explainedVariance` and `r2` to be consistent with their definitions as described in [SPARK-9005](https://issues.apache.org/jira/browse/SPARK-9005). Author: Feynman Liang <fliang@databricks.com> Closes #7361 from feynmanliang/SPARK-9005-RegressionMetrics-bugs and squashes the following commits: f1112fc [Feynman Liang] Add explainedVariance formula 1a3d098 [Feynman Liang] SROwen code review comments 08a0e1b [Feynman Liang] Fix pyspark tests db8605a [Feynman Liang] Style fix bde9761 [Feynman Liang] Fix RegressionMetrics tests, relax assumption predictor is unbiased c235de0 [Feynman Liang] Fix RegressionMetrics tests 4c4e56f [Feynman Liang] Fix RegressionMetrics computation of explainedVariance and r2
* [SPARK-8706] [PYSPARK] [PROJECT INFRA] Add pylint checks to PySparkMechCoder2015-07-152-3/+4
| | | | | | | | | | | | | | | | | | | | | This adds Pylint checks to PySpark. For now this lazy installs using easy_install to /dev/pylint (similar to the pep8 script). We still need to figure out what rules to be allowed. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #7241 from MechCoder/pylint and squashes the following commits: 2fc7291 [MechCoder] Remove pylint test fail 6d883a2 [MechCoder] Silence warnings and make pylint tests fail to check if it works in jenkins f3a5e17 [MechCoder] undefined-variable ca8b749 [MechCoder] Minor changes 71629f8 [MechCoder] remove trailing whitespace 8498ff9 [MechCoder] Remove blacklisted arguments and pointless statements check 1dbd094 [MechCoder] Disable all checks for now 8b8aa8a [MechCoder] Add pylint configuration file 7871bb1 [MechCoder] [SPARK-8706] [PySpark] [Project infra] Add pylint checks to PySpark
* [SPARK-6259] [MLLIB] Python API for LDAYu ISHIKAWA2015-07-141-1/+65
| | | | | | | | | | | | | | | | | | | | | | | | | | I implemented the Python API for LDA. But I didn't implemented a method for `LDAModel.describeTopics()`, beause it's a little hard to implement it now. And adding document about that and an example code would fit for another issue. TODO: LDAModel.describeTopics() in Python must be also implemented. But it would be nice to fit for another issue. Implementing it is a little hard, since the return value of `describeTopics` in Scala consists of Tuple classes. Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #6791 from yu-iskw/SPARK-6259 and squashes the following commits: 6855f59 [Yu ISHIKAWA] LDA inherits object 28bd165 [Yu ISHIKAWA] Change the place of testing code d7a332a [Yu ISHIKAWA] Remove the doc comment about the optimizer's default value 083e226 [Yu ISHIKAWA] Add the comment about the supported values and the default value of `optimizer` 9f8bed8 [Yu ISHIKAWA] Simplify casting faa9764 [Yu ISHIKAWA] Add some comments for the LDA paramters 98f645a [Yu ISHIKAWA] Remove the interface for `describeTopics`. Because it is not implemented. 57ac03d [Yu ISHIKAWA] Remove the unnecessary import in Python unit testing 73412c3 [Yu ISHIKAWA] Fix the typo 2278829 [Yu ISHIKAWA] Fix the indentation 39514ec [Yu ISHIKAWA] Modify how to cast the input data 8117e18 [Yu ISHIKAWA] Fix the validation problems by `lint-scala` 77fd1b7 [Yu ISHIKAWA] Not use LabeledPoint 68f0653 [Yu ISHIKAWA] Support some parameters for `ALS.train()` in Python 25ef2ac [Yu ISHIKAWA] Resolve conflicts with rebasing
* Revert "[SPARK-8706] [PYSPARK] [PROJECT INFRA] Add pylint checks to PySpark"Davies Liu2015-07-131-2/+2
| | | | This reverts commit 9b62e9375f032548d386aec7468e3d0f7c6da7b2.
* [SPARK-8706] [PYSPARK] [PROJECT INFRA] Add pylint checks to PySparkMechCoder2015-07-131-2/+2
| | | | | | | | | | | | | | | | | | | | This adds Pylint checks to PySpark. For now this lazy installs using easy_install to /dev/pylint (similar to the pep8 script). We still need to figure out what rules to be allowed. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #7241 from MechCoder/pylint and squashes the following commits: 8496834 [MechCoder] Silence warnings and make pylint tests fail to check if it works in jenkins 57393a3 [MechCoder] undefined-variable a8e2547 [MechCoder] Minor changes 7753810 [MechCoder] remove trailing whitespace 75c5d2b [MechCoder] Remove blacklisted arguments and pointless statements check 6bde250 [MechCoder] Disable all checks for now 3464666 [MechCoder] Add pylint configuration file d28109f [MechCoder] [SPARK-8706] [PySpark] [Project infra] Add pylint checks to PySpark
* [SPARK-9006] [PYSPARK] fix microsecond loss in Python 3Davies Liu2015-07-121-1/+2
| | | | | | | | | | It may loss a microsecond if using timestamp as float, should be `int` instead. Author: Davies Liu <davies@databricks.com> Closes #7363 from davies/fix_microsecond and squashes the following commits: 36f6007 [Davies Liu] fix microsecond loss in Python 3
* [SPARK-7735] [PYSPARK] Raise Exception on non-zero exit from pipe commandsScott Taylor2015-07-102-2/+26
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This will allow problems with piped commands to be detected. This will also allow tasks to be retried where errors are rare (such as network problems in piped commands). Author: Scott Taylor <github@megatron.me.uk> Closes #6262 from megatron-me-uk/patch-2 and squashes the following commits: 04ae1d5 [Scott Taylor] Remove spurious empty line 98fa101 [Scott Taylor] fix blank line style error 574b564 [Scott Taylor] Merge pull request #2 from megatron-me-uk/patch-4 0c1e762 [Scott Taylor] Update rdd pipe method for checkCode ab9a2e1 [Scott Taylor] Update rdd pipe tests for checkCode eb4801c [Scott Taylor] fix fail_condition b0ac3a4 [Scott Taylor] Merge pull request #1 from megatron-me-uk/megatron-me-uk-patch-1 a307d13 [Scott Taylor] update rdd tests to test pipe modes 34fcdc3 [Scott Taylor] add optional argument 'mode' for rdd.pipe a0c0161 [Scott Taylor] fix generator issue 8a9ef9c [Scott Taylor] make check_return_code an iterator 0486ae3 [Scott Taylor] style fixes 8ed89a6 [Scott Taylor] Chain generators to prevent potential deadlock 4153b02 [Scott Taylor] fix list.sort returns None 491d3fc [Scott Taylor] Pass a function handle to assertRaises 3344a21 [Scott Taylor] wrap assertRaises with QuietTest 3ab8c7a [Scott Taylor] remove whitespace for style cc1a73d [Scott Taylor] fix style issues in pipe test 8db4073 [Scott Taylor] Add a test for rdd pipe functions 1b3dc4e [Scott Taylor] fix missing space around operator style 0974f98 [Scott Taylor] add space between words in multiline string 45f4977 [Scott Taylor] fix line too long style error 5745d85 [Scott Taylor] Remove space to fix style f552d49 [Scott Taylor] Catch non-zero exit from pipe commands
* add inline comment for python testsDavies Liu2015-07-101-0/+1
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* [HOTFIX] fix flaky test in PySpark SQLDavies Liu2015-07-101-2/+3
| | | | | | | | | | It may loss precision in microseconds when using float for it. Author: Davies Liu <davies@databricks.com> Closes #7344 from davies/fix_date_test and squashes the following commits: 249ec61 [Davies Liu] fix flaky test
* [SPARK-7902] [SPARK-6289] [SPARK-8685] [SQL] [PYSPARK] Refactor of ↵Davies Liu2015-07-094-294/+174
| | | | | | | | | | | | | | | | serialization for Python DataFrame This PR fix the long standing issue of serialization between Python RDD and DataFrame, it change to using a customized Pickler for InternalRow to enable customized unpickling (type conversion, especially for UDT), now we can support UDT for UDF, cc mengxr . There is no generated `Row` anymore. Author: Davies Liu <davies@databricks.com> Closes #7301 from davies/sql_ser and squashes the following commits: 81bef71 [Davies Liu] address comments e9217bd [Davies Liu] add regression tests db34167 [Davies Liu] Refactor of serialization for Python DataFrame
* [SPARK-8389] [STREAMING] [PYSPARK] Expose KafkaRDDs offsetRange in Pythonjerryshao2015-07-093-11/+183
| | | | | | | | | | | | | | | | | | | | | | This PR propose a simple way to expose OffsetRange in Python code, also the usage of offsetRanges is similar to Scala/Java way, here in Python we could get OffsetRange like: ``` dstream.foreachRDD(lambda r: KafkaUtils.offsetRanges(r)) ``` Reason I didn't follow the way what SPARK-8389 suggested is that: Python Kafka API has one more step to decode the message compared to Scala/Java, Which makes Python API return a transformed RDD/DStream, not directly wrapped so-called JavaKafkaRDD, so it is hard to backtrack to the original RDD to get the offsetRange. Author: jerryshao <saisai.shao@intel.com> Closes #7185 from jerryshao/SPARK-8389 and squashes the following commits: 4c6d320 [jerryshao] Another way to fix subclass deserialization issue e6a8011 [jerryshao] Address the comments fd13937 [jerryshao] Fix serialization bug 7debf1c [jerryshao] bug fix cff3893 [jerryshao] refactor the code according to the comments 2aabf9e [jerryshao] Style fix 848c708 [jerryshao] Add HasOffsetRanges for Python
* [SPARK-6266] [MLLIB] PySpark SparseVector missing doc for size, indices, valueslewuathe2015-07-091-2/+7
| | | | | | | | | | | | Write missing pydocs in `SparseVector` attributes. Author: lewuathe <lewuathe@me.com> Closes #7290 from Lewuathe/SPARK-6266 and squashes the following commits: 51d9895 [lewuathe] Update docs 0480d35 [lewuathe] Merge branch 'master' into SPARK-6266 ba42cf3 [lewuathe] [SPARK-6266] PySpark SparseVector missing doc for size, indices, values
* [SPARK-8866][SQL] use 1us precision for timestamp typeYijie Shen2015-07-081-1/+1
| | | | | | | | | | | | | JIRA: https://issues.apache.org/jira/browse/SPARK-8866 Author: Yijie Shen <henry.yijieshen@gmail.com> Closes #7283 from yijieshen/micro_timestamp and squashes the following commits: dc735df [Yijie Shen] update CastSuite to avoid round error 714eaea [Yijie Shen] add timestamp_udf into blacklist due to precision lose c3ca2f4 [Yijie Shen] fix unhandled case in CurrentTimestamp 8d4aa6b [Yijie Shen] use 1us precision for timestamp type
* [SPARK-8450] [SQL] [PYSARK] cleanup type converter for Python DataFrameDavies Liu2015-07-082-0/+17
| | | | | | | | | | | | | | | | | | | | This PR fixes the converter for Python DataFrame, especially for DecimalType Closes #7106 Author: Davies Liu <davies@databricks.com> Closes #7131 from davies/decimal_python and squashes the following commits: 4d3c234 [Davies Liu] Merge branch 'master' of github.com:apache/spark into decimal_python 20531d6 [Davies Liu] Merge branch 'master' of github.com:apache/spark into decimal_python 7d73168 [Davies Liu] fix conflit 6cdd86a [Davies Liu] Merge branch 'master' of github.com:apache/spark into decimal_python 7104e97 [Davies Liu] improve type infer 9cd5a21 [Davies Liu] run python tests with SPARK_PREPEND_CLASSES 829a05b [Davies Liu] fix UDT in python c99e8c5 [Davies Liu] fix mima c46814a [Davies Liu] convert decimal for Python DataFrames
* [SPARK-8068] [MLLIB] Add confusionMatrix method at class MulticlassMetrics ↵Yanbo Liang2015-07-081-0/+11
| | | | | | | | | | | | in pyspark/mllib Add confusionMatrix method at class MulticlassMetrics in pyspark/mllib Author: Yanbo Liang <ybliang8@gmail.com> Closes #7286 from yanboliang/spark-8068 and squashes the following commits: 6109fe1 [Yanbo Liang] Add confusionMatrix method at class MulticlassMetrics in pyspark/mllib
* [SPARK-7785] [MLLIB] [PYSPARK] Add __str__ and __repr__ to MatricesMechCoder2015-07-082-1/+178
| | | | | | | | | | | | | | | | | Adding __str__ and __repr__ to DenseMatrix and SparseMatrix Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #6342 from MechCoder/spark-7785 and squashes the following commits: 7b9a82c [MechCoder] Add tests for greater than 16 elements b88e9dd [MechCoder] Increment limit to 16 1425a01 [MechCoder] Change tests 36bd166 [MechCoder] Change str and repr representation 97f0da9 [MechCoder] zip is same as izip in python3 94ca4b2 [MechCoder] Added doctests and iterate over values instead of colPtrs b26fa89 [MechCoder] minor 394dde9 [MechCoder] [SPARK-7785] Add __str__ and __repr__ to Matrices
* [SPARK-8704] [ML] [PySpark] Add missing methods in StandardScalerMechCoder2015-07-071-0/+18
| | | | | | | | | | | | | Add std, mean to StandardScalerModel getVectors, findSynonyms to Word2Vec Model setFeatures and getFeatures to hashingTF Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #7086 from MechCoder/missing_model_methods and squashes the following commits: 9fbae90 [MechCoder] Add type 6e3d6b2 [MechCoder] [SPARK-8704] Add missing methods in StandardScaler (ML and PySpark)
* [SPARK-8823] [MLLIB] [PYSPARK] Optimizations for SparseVector dot productsMechCoder2015-07-071-12/+8
| | | | | | | | | | | | Follow up for https://github.com/apache/spark/pull/5946 Currently we iterate over indices and values in SparseVector and can be vectorized. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #7222 from MechCoder/sparse_optim and squashes the following commits: dcb51d3 [MechCoder] [SPARK-8823] [MLlib] [PySpark] Optimizations for SparseVector dot product
* [SPARK-8711] [ML] Add additional methods to PySpark ML tree modelsMechCoder2015-07-072-7/+59
| | | | | | | | | | | | | | | Add numNodes and depth to treeModels, add treeWeights to ensemble Models. Add __repr__ to all models. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #7095 from MechCoder/missing_methods_tree and squashes the following commits: 23b08be [MechCoder] private [spark] 38a0860 [MechCoder] rename pyTreeWeights to javaTreeWeights 6d16ad8 [MechCoder] Fix Python 3 Error 47d7023 [MechCoder] Use np.allclose and treeEnsembleModel -> TreeEnsembleMethods 819098c [MechCoder] [SPARK-8711] [ML] Add additional methods ot PySpark ML tree models
* [SPARK-8765] [MLLIB] Fix PySpark PowerIterationClustering test issueYanbo Liang2015-07-061-2/+14
| | | | | | | | | | | | PySpark PowerIterationClustering test failure due to bad demo data. If the data is small, PowerIterationClustering will behavior indeterministic. Author: Yanbo Liang <ybliang8@gmail.com> Closes #7177 from yanboliang/spark-8765 and squashes the following commits: 392ae54 [Yanbo Liang] fix model.assignments output 5ec3f1e [Yanbo Liang] fix PySpark PowerIterationClustering test issue
* Revert "[SPARK-7212] [MLLIB] Add sequence learning flag"Xiangrui Meng2015-07-061-2/+2
| | | | | | | | | | This reverts commit 25f574eb9a3cb9b93b7d9194a8ec16e00ce2c036. After speaking to some users and developers, we realized that FP-growth doesn't meet the requirement for frequent sequence mining. PrefixSpan (SPARK-6487) would be the correct algorithm for it. feynmanliang Author: Xiangrui Meng <meng@databricks.com> Closes #7240 from mengxr/SPARK-7212.revert and squashes the following commits: 2b3d66b [Xiangrui Meng] Revert "[SPARK-7212] [MLLIB] Add sequence learning flag"
* [SPARK-8784] [SQL] Add Python API for hex and unhexDavies Liu2015-07-061-0/+28
| | | | | | | | | | | | | | | | | | Add Python API for hex/unhex, also cleanup Hex/Unhex Author: Davies Liu <davies@databricks.com> Closes #7223 from davies/hex and squashes the following commits: 6f1249d [Davies Liu] no explicit rule to cast string into binary 711a6ed [Davies Liu] fix test f9fe5a3 [Davies Liu] Merge branch 'master' of github.com:apache/spark into hex f032fbb [Davies Liu] Merge branch 'hex' of github.com:davies/spark into hex 49e325f [Davies Liu] Merge branch 'master' of github.com:apache/spark into hex b31fc9a [Davies Liu] Update math.scala 25156b7 [Davies Liu] address comments and fix test c3af78c [Davies Liu] address commments 1a24082 [Davies Liu] Add Python API for hex and unhex
* [SPARK-8270][SQL] levenshtein distanceTarek Auel2015-07-041-0/+14
| | | | | | | | | | | | | | | | Jira: https://issues.apache.org/jira/browse/SPARK-8270 Info: I can not build the latest master, it stucks during the build process: `[INFO] Dependency-reduced POM written at: /Users/tarek/test/spark/bagel/dependency-reduced-pom.xml` Author: Tarek Auel <tarek.auel@googlemail.com> Closes #7214 from tarekauel/SPARK-8270 and squashes the following commits: ab348b9 [Tarek Auel] Merge branch 'master' into SPARK-8270 a2ad318 [Tarek Auel] [SPARK-8270] changed order of fields d91b12c [Tarek Auel] [SPARK-8270] python fix adbd075 [Tarek Auel] [SPARK-8270] fixed typo 23185c9 [Tarek Auel] [SPARK-8270] levenshtein distance
* [SPARK-7401] [MLLIB] [PYSPARK] Vectorize dot product and sq_dist between ↵MechCoder2015-07-032-23/+29
| | | | | | | | | | | | | | | | SparseVector and DenseVector Currently we iterate over indices which can be vectorized. Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #5946 from MechCoder/spark-7203 and squashes the following commits: 034d086 [MechCoder] Vectorize dot calculation for numpy arrays for ndim=2 bce2b07 [MechCoder] fix doctest fcad0a3 [MechCoder] Remove type checks for list, pyarray etc 0ee5dd4 [MechCoder] Add tests and other isinstance changes e5f1de0 [MechCoder] [SPARK-7401] Vectorize dot product and sq_dist
* [SPARK-8226] [SQL] Add function shiftrightunsignedzhichao.li2015-07-031-0/+13
| | | | | | | | | | Author: zhichao.li <zhichao.li@intel.com> Closes #7035 from zhichao-li/shiftRightUnsigned and squashes the following commits: 6bcca5a [zhichao.li] change coding style 3e9f5ae [zhichao.li] python style d85ae0b [zhichao.li] add shiftrightunsigned
* Revert "[SPARK-8784] [SQL] Add Python API for hex and unhex"Reynold Xin2015-07-021-28/+0
| | | | This reverts commit fc7aebd94a3c09657fc4dbded0997ed068304e0a.
* [SPARK-7104] [MLLIB] Support model save/load in Python's Word2VecYu ISHIKAWA2015-07-021-1/+20
| | | | | | | | | | | Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #6821 from yu-iskw/SPARK-7104 and squashes the following commits: 975136b [Yu ISHIKAWA] Organize import 0ef58b6 [Yu ISHIKAWA] Use rmtree, instead of removedirs cb21653 [Yu ISHIKAWA] Add an explicit type for `Word2VecModelWrapper.save` 1d468ef [Yu ISHIKAWA] [SPARK-7104][MLlib] Support model save/load in Python's Word2Vec
* [SPARK-8784] [SQL] Add Python API for hex and unhexDavies Liu2015-07-021-0/+28
| | | | | | | | | | | | | | | Also improve the performance of hex/unhex Author: Davies Liu <davies@databricks.com> Closes #7181 from davies/hex and squashes the following commits: f032fbb [Davies Liu] Merge branch 'hex' of github.com:davies/spark into hex 49e325f [Davies Liu] Merge branch 'master' of github.com:apache/spark into hex b31fc9a [Davies Liu] Update math.scala 25156b7 [Davies Liu] address comments and fix test c3af78c [Davies Liu] address commments 1a24082 [Davies Liu] Add Python API for hex and unhex
* [SPARK-8407] [SQL] complex type constructors: struct and named_structYijie Shen2015-07-021-1/+0
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | This is a follow up of [SPARK-8283](https://issues.apache.org/jira/browse/SPARK-8283) ([PR-6828](https://github.com/apache/spark/pull/6828)), to support both `struct` and `named_struct` in Spark SQL. After [#6725](https://github.com/apache/spark/pull/6828), the semantic of [`CreateStruct`](https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypes.scala#L56) methods have changed a little and do not limited to cols of `NamedExpressions`, it will name non-NamedExpression fields following the hive convention, col1, col2 ... This PR would both loosen [`struct`](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/functions.scala#L723) to take children of `Expression` type and add `named_struct` support. Author: Yijie Shen <henry.yijieshen@gmail.com> Closes #6874 from yijieshen/SPARK-8283 and squashes the following commits: 4cd3375ac [Yijie Shen] change struct documentation d599d0b [Yijie Shen] rebase code 9a7039e [Yijie Shen] fix reviews and regenerate golden answers b487354 [Yijie Shen] replace assert using checkAnswer f07e114 [Yijie Shen] tiny fix 9613be9 [Yijie Shen] review fix 7fef712 [Yijie Shen] Fix checkInputTypes' implementation using foldable and nullable 60812a7 [Yijie Shen] Fix type check 828d694 [Yijie Shen] remove unnecessary resolved assertion inside dataType method fd3cd8e [Yijie Shen] remove type check from eval 7a71255 [Yijie Shen] tiny fix ccbbd86 [Yijie Shen] Fix reviews 47da332 [Yijie Shen] remove nameStruct API from DataFrame 917e680 [Yijie Shen] Fix reviews 4bd75ad [Yijie Shen] loosen struct method in functions.scala to take Expression children 0acb7be [Yijie Shen] Add CreateNamedStruct in both DataFrame function API and FunctionRegistery
* [SPARK-8223] [SPARK-8224] [SQL] shift left and shift rightTarek Auel2015-07-021-0/+24
| | | | | | | | | | | | | | | | | | | | | | | | | | Jira: https://issues.apache.org/jira/browse/SPARK-8223 https://issues.apache.org/jira/browse/SPARK-8224 ~~I am aware of #7174 and will update this pr, if it's merged.~~ Done I don't know if #7034 can simplify this, but we can have a look on it, if it gets merged rxin In the Jira ticket the function as no second argument. I added a `numBits` argument that allows to specify the number of bits. I guess this improves the usability. I wanted to add `shiftleft(value)` as well, but the `selectExpr` dataframe tests crashes, if I have both. I order to do this, I added the following to the functions.scala `def shiftRight(e: Column): Column = ShiftRight(e.expr, lit(1).expr)`, but as I mentioned this doesn't pass tests like `df.selectExpr("shiftRight(a)", ...` (not enough arguments exception). If we need the bitwise shift in order to be hive compatible, I suggest to add `shiftLeft` and something like `shiftLeftX` Author: Tarek Auel <tarek.auel@googlemail.com> Closes #7178 from tarekauel/8223 and squashes the following commits: 8023bb5 [Tarek Auel] [SPARK-8223][SPARK-8224] fixed test f3f64e6 [Tarek Auel] [SPARK-8223][SPARK-8224] Integer -> Int f628706 [Tarek Auel] [SPARK-8223][SPARK-8224] removed toString; updated function description 3b56f2a [Tarek Auel] Merge remote-tracking branch 'origin/master' into 8223 5189690 [Tarek Auel] [SPARK-8223][SPARK-8224] minor fix and style fix 9434a28 [Tarek Auel] Merge remote-tracking branch 'origin/master' into 8223 44ee324 [Tarek Auel] [SPARK-8223][SPARK-8224] docu fix ac7fe9d [Tarek Auel] [SPARK-8223][SPARK-8224] right and left bit shift
* [SPARK-8770][SQL] Create BinaryOperator abstract class.Reynold Xin2015-07-013-19/+19
| | | | | | | | | | | | | | Our current BinaryExpression abstract class is not for generic binary expressions, i.e. it requires left/right children to have the same type. However, due to its name, contributors build new binary expressions that don't have that assumption (e.g. Sha) and still extend BinaryExpression. This patch creates a new BinaryOperator abstract class, and update the analyzer o only apply type casting rule there. This patch also adds the notion of "prettyName" to expressions, which defines the user-facing name for the expression. Author: Reynold Xin <rxin@databricks.com> Closes #7174 from rxin/binary-opterator and squashes the following commits: f31900d [Reynold Xin] [SPARK-8770][SQL] Create BinaryOperator abstract class. fceb216 [Reynold Xin] Merge branch 'master' of github.com:apache/spark into binary-opterator d8518cf [Reynold Xin] Updated Python tests.
* [SPARK-8766] support non-ascii character in column namesDavies Liu2015-07-014-5/+15
| | | | | | | | | | | | | | Use UTF-8 to encode the name of column in Python 2, or it may failed to encode with default encoding ('ascii'). This PR also fix a bug when there is Java exception without error message. Author: Davies Liu <davies@databricks.com> Closes #7165 from davies/non_ascii and squashes the following commits: 02cb61a [Davies Liu] fix tests 3b09d31 [Davies Liu] add encoding in header 867754a [Davies Liu] support non-ascii character in column names
* [SPARK-8378] [STREAMING] Add the Python API for Flumezsxwing2015-07-012-2/+324
| | | | | | | | | | | | | | | | | | | | | | | Author: zsxwing <zsxwing@gmail.com> Closes #6830 from zsxwing/flume-python and squashes the following commits: 78dfdac [zsxwing] Fix the compile error in the test code f1bf3c0 [zsxwing] Address TD's comments 0449723 [zsxwing] Add sbt goal streaming-flume-assembly/assembly e93736b [zsxwing] Fix the test case for determine_modules_to_test 9d5821e [zsxwing] Fix pyspark_core dependencies f9ee681 [zsxwing] Merge branch 'master' into flume-python 7a55837 [zsxwing] Add streaming_flume_assembly to run-tests.py b96b0de [zsxwing] Merge branch 'master' into flume-python ce85e83 [zsxwing] Fix incompatible issues for Python 3 01cbb3d [zsxwing] Add import sys 152364c [zsxwing] Fix the issue that StringIO doesn't work in Python 3 14ba0ff [zsxwing] Add flume-assembly for sbt building b8d5551 [zsxwing] Merge branch 'master' into flume-python 4762c34 [zsxwing] Fix the doc 0336579 [zsxwing] Refactor Flume unit tests and also add tests for Python API 9f33873 [zsxwing] Add the Python API for Flume
* [SPARK-8765] [MLLIB] [PYTHON] removed flaky python PIC testJoseph K. Bradley2015-07-011-4/+0
| | | | | | | | | | | | See failure: [https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/36133/console] CC yanboliang mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes #7164 from jkbradley/pic-python-test and squashes the following commits: 156d55b [Joseph K. Bradley] removed flaky python PIC test
* [SPARK-6263] [MLLIB] Python MLlib API missing items: Utilslewuathe2015-07-012-0/+65
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Implement missing API in pyspark. MLUtils * appendBias * loadVectors `kFold` is also missing however I am not sure `ClassTag` can be passed or restored through python. Author: lewuathe <lewuathe@me.com> Closes #5707 from Lewuathe/SPARK-6263 and squashes the following commits: 16863ea [lewuathe] Merge master 3fc27e7 [lewuathe] Merge branch 'master' into SPARK-6263 6084e9c [lewuathe] Resolv conflict d2aa2a0 [lewuathe] Resolv conflict 9c329d8 [lewuathe] Fix efficiency 3a12a2d [lewuathe] Merge branch 'master' into SPARK-6263 1d4714b [lewuathe] Fix style b29e2bc [lewuathe] Remove scipy dependencies e32eb40 [lewuathe] Merge branch 'master' into SPARK-6263 25d3c9d [lewuathe] Remove unnecessary imports 7ec04db [lewuathe] Resolv conflict 1502d13 [lewuathe] Resolv conflict d6bd416 [lewuathe] Check existence of scipy.sparse 5d555b1 [lewuathe] Construct scipy.sparse matrix c345a44 [lewuathe] Merge branch 'master' into SPARK-6263 b8b5ef7 [lewuathe] Fix unnecessary sort method d254be7 [lewuathe] Merge branch 'master' into SPARK-6263 62a9c7e [lewuathe] Fix appendBias return type 454c73d [lewuathe] Merge branch 'master' into SPARK-6263 a353354 [lewuathe] Remove unnecessary appendBias implementation 44295c2 [lewuathe] Merge branch 'master' into SPARK-6263 64f72ad [lewuathe] Merge branch 'master' into SPARK-6263 c728046 [lewuathe] Fix style 2980569 [lewuathe] [SPARK-6263] Python MLlib API missing items: Utils
* [SPARK-8535] [PYSPARK] PySpark : Can't create DataFrame from Pandas ↵x1-2015-06-301-1/+3
| | | | | | | | | | | | | | | | | | dataframe with no explicit column name Because implicit name of `pandas.columns` are Int, but `StructField` json expect `String`. So I think `pandas.columns` are should be convert to `String`. ### issue * [SPARK-8535 PySpark : Can't create DataFrame from Pandas dataframe with no explicit column name](https://issues.apache.org/jira/browse/SPARK-8535) Author: x1- <viva008@gmail.com> Closes #7124 from x1-/SPARK-8535 and squashes the following commits: d68fd38 [x1-] modify unit-test using pandas. ea1897d [x1-] For implicit name of pandas.columns are Int, so should be convert to String.
* [SPARK-8727] [SQL] Missing python api; md5, log2Tarek Auel2015-06-301-13/+52
| | | | | | | | | | | | | | | | | Jira: https://issues.apache.org/jira/browse/SPARK-8727 Author: Tarek Auel <tarek.auel@gmail.com> Author: Tarek Auel <tarek.auel@googlemail.com> Closes #7114 from tarekauel/missing-python and squashes the following commits: ef4c61b [Tarek Auel] [SPARK-8727] revert dataframe change 4029d4d [Tarek Auel] removed dataframe pi and e unit test 66f0d2b [Tarek Auel] removed pi and e from python api and dataframe api; added _to_java_column(col) for strlen 4d07318 [Tarek Auel] fixed python unit test 45f2bee [Tarek Auel] fixed result of pi and e c39f47b [Tarek Auel] add python api bd50a3a [Tarek Auel] add missing python functions
* [SPARK-8738] [SQL] [PYSPARK] capture SQL AnalysisException in Python APIDavies Liu2015-06-304-1/+65
| | | | | | | | | | | | | | | | Capture the AnalysisException in SQL, hide the long java stack trace, only show the error message. cc rxin Author: Davies Liu <davies@databricks.com> Closes #7135 from davies/ananylis and squashes the following commits: dad7ae7 [Davies Liu] add comment ec0c0e8 [Davies Liu] Update utils.py cdd7edd [Davies Liu] add doc 7b044c2 [Davies Liu] fix python 3 f84d3bd [Davies Liu] capture SQL AnalysisException in Python API
* [SPARK-8679] [PYSPARK] [MLLIB] Default values in Pipeline API should be ↵MechCoder2015-06-302-7/+21
| | | | | | | | | | | | | | | | | | | | | | | | | | | immutable It might be dangerous to have a mutable as value for default param. (http://stackoverflow.com/a/11416002/1170730) e.g def func(example, f={}): f[example] = 1 return f func(2) {2: 1} func(3) {2:1, 3:1} mengxr Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #7058 from MechCoder/pipeline_api_playground and squashes the following commits: 40a5eb2 [MechCoder] copy 95f7ff2 [MechCoder] [SPARK-8679] [PySpark] [MLlib] Default values in Pipeline API should be immutable
* [SPARK-4127] [MLLIB] [PYSPARK] Python bindings for ↵MechCoder2015-06-303-47/+217
| | | | | | | | | | | | | | | | | | | StreamingLinearRegressionWithSGD Python bindings for StreamingLinearRegressionWithSGD Author: MechCoder <manojkumarsivaraj334@gmail.com> Closes #6744 from MechCoder/spark-4127 and squashes the following commits: d8f6457 [MechCoder] Moved StreamingLinearAlgorithm to pyspark.mllib.regression d47cc24 [MechCoder] Inherit from StreamingLinearAlgorithm 1b4ddd6 [MechCoder] minor 4de6c68 [MechCoder] Minor refactor 5e85a3b [MechCoder] Add tests for simultaneous training and prediction fb27889 [MechCoder] Add example and docs 505380b [MechCoder] Add tests d42bdae [MechCoder] [SPARK-4127] Python bindings for StreamingLinearRegressionWithSGD
* [SPARK-8434][SQL]Add a "pretty" parameter to the "show" method to display ↵zsxwing2015-06-291-2/+5
| | | | | | | | | | | | | | | | | | | | | | | long strings Sometimes the user may want to show the complete content of cells. Now `sql("set -v").show()` displays: ![screen shot 2015-06-18 at 4 34 51 pm](https://cloud.githubusercontent.com/assets/1000778/8227339/14d3c5ea-15d9-11e5-99b9-f00b7e93beef.png) The user needs to use something like `sql("set -v").collect().foreach(r => r.toSeq.mkString("\t"))` to show the complete content. This PR adds a `pretty` parameter to show. If `pretty` is false, `show` won't truncate strings or align cells right. ![screen shot 2015-06-18 at 4 21 44 pm](https://cloud.githubusercontent.com/assets/1000778/8227407/b6f8dcac-15d9-11e5-8219-8079280d76fc.png) Author: zsxwing <zsxwing@gmail.com> Closes #6877 from zsxwing/show and squashes the following commits: 22e28e9 [zsxwing] pretty -> truncate e582628 [zsxwing] Add pretty parameter to the show method in R a3cd55b [zsxwing] Fix calling showString in R 923cee4 [zsxwing] Add a "pretty" parameter to show to display long strings
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