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* [SPARK-15898][SQL] DataFrameReader.text should return DataFrameWenchen Fan2016-06-1210-10/+10
| | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? We want to maintain API compatibility for DataFrameReader.text, and will introduce a new API called DataFrameReader.textFile which returns Dataset[String]. affected PRs: https://github.com/apache/spark/pull/11731 https://github.com/apache/spark/pull/13104 https://github.com/apache/spark/pull/13184 ## How was this patch tested? N/A Author: Wenchen Fan <wenchen@databricks.com> Closes #13604 from cloud-fan/revert.
* [SPARK-15086][CORE][STREAMING] Deprecate old Java accumulator APISean Owen2016-06-121-5/+5
| | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? - Deprecate old Java accumulator API; should use Scala now - Update Java tests and examples - Don't bother testing old accumulator API in Java 8 (too) - (fix a misspelling too) ## How was this patch tested? Jenkins tests Author: Sean Owen <sowen@cloudera.com> Closes #13606 from srowen/SPARK-15086.
* [SPARK-14615][ML][FOLLOWUP] Fix Python examples to use the new ML Vector and ↵hyukjinkwon2016-06-1010-19/+18
| | | | | | | | | | | | | | | | | | | | | | | | | Matrix APIs in the ML pipeline based algorithms ## What changes were proposed in this pull request? This PR fixes Python examples to use the new ML Vector and Matrix APIs in the ML pipeline based algorithms. I firstly executed this shell command, `grep -r "from pyspark.mllib" .` and then executed them all. Some of tests in `ml` produced the error messages as below: ``` pyspark.sql.utils.IllegalArgumentException: u'requirement failed: Input type must be VectorUDT but got org.apache.spark.mllib.linalg.VectorUDTf71b0bce.' ``` So, I fixed them to use new ones just identically with some Python tests fixed in https://github.com/apache/spark/pull/12627 ## How was this patch tested? Manually tested for all the examples listed by `grep -r "from pyspark.mllib" .`. Author: hyukjinkwon <gurwls223@gmail.com> Closes #13393 from HyukjinKwon/SPARK-14615.
* [SPARK-15773][CORE][EXAMPLE] Avoid creating local variable `sc` in examples ↵Dongjoon Hyun2016-06-1012-52/+30
| | | | | | | | | | | | | | | | | | | | | | | | | | | if possible ## What changes were proposed in this pull request? Instead of using local variable `sc` like the following example, this PR uses `spark.sparkContext`. This makes examples more concise, and also fixes some misleading, i.e., creating SparkContext from SparkSession. ``` - println("Creating SparkContext") - val sc = spark.sparkContext - println("Writing local file to DFS") val dfsFilename = dfsDirPath + "/dfs_read_write_test" - val fileRDD = sc.parallelize(fileContents) + val fileRDD = spark.sparkContext.parallelize(fileContents) ``` This will change 12 files (+30 lines, -52 lines). ## How was this patch tested? Manual. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #13520 from dongjoon-hyun/SPARK-15773.
* [SPARK-15721][ML] Make DefaultParamsReadable, DefaultParamsWritable publicJoseph K. Bradley2016-06-061-0/+122
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? Made DefaultParamsReadable, DefaultParamsWritable public. Also added relevant doc and annotations. Added UnaryTransformerExample to demonstrate use of UnaryTransformer and DefaultParamsReadable,Writable. ## How was this patch tested? Wrote example making use of the now-public APIs. Compiled and ran locally Author: Joseph K. Bradley <joseph@databricks.com> Closes #13461 from jkbradley/defaultparamswritable.
* [SPARK-15771][ML][EXAMPLES] Use 'accuracy' rather than 'precision' in many ↵Yanbo Liang2016-06-0618-36/+36
| | | | | | | | | | | | | | | | | | ML examples ## What changes were proposed in this pull request? Since [SPARK-15617](https://issues.apache.org/jira/browse/SPARK-15617) deprecated ```precision``` in ```MulticlassClassificationEvaluator```, many ML examples broken. ```python pyspark.sql.utils.IllegalArgumentException: u'MulticlassClassificationEvaluator_4c3bb1d73d8cc0cedae6 parameter metricName given invalid value precision.' ``` We should use ```accuracy``` to replace ```precision``` in these examples. ## How was this patch tested? Offline tests. Author: Yanbo Liang <ybliang8@gmail.com> Closes #13519 from yanboliang/spark-15771.
* [SPARK-15605][ML][EXAMPLES] Fix broken ML JavaDeveloperApiExample.Yanbo Liang2016-06-021-240/+0
| | | | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? See [SPARK-15605](https://issues.apache.org/jira/browse/SPARK-15605) for the detail of this bug. This PR fix 2 major bugs in this example: * The java example class use Param ```maxIter```, it will fail when calling ```Param.shouldOwn```. We need add a public method which return the ```maxIter``` Object. Because ```Params.params``` use java reflection to list all public method whose return type is ```Param```, and invoke them to get all defined param objects in the instance. * The ```uid``` member defined in Java class will be initialized after Scala traits such as ```HasFeaturesCol```. So when ```HasFeaturesCol``` being constructed, they get ```uid``` with null, which will cause ```Param.shouldOwn``` check fail. so, here is my changes: * Add public method: ```public IntParam getMaxIterParam() {return maxIter;}``` * Use Java anonymous class overriding ```uid()``` to defined the ```uid```, and it solve the second problem described above. * To make the ```getMaxIterParam ``` can be invoked using java reflection, we must make the two class (MyJavaLogisticRegression and MyJavaLogisticRegressionModel) public. so I make them become inner public static class. ## How was this patch tested? Offline tests. Author: Yanbo Liang <ybliang8@gmail.com> Closes #13353 from yanboliang/spark-15605.
* [SPARK-15208][WIP][CORE][STREAMING][DOCS] Update Spark examples with ↵Liwei Lin2016-06-021-2/+1
| | | | | | | | | | | | | | | | | | | | | | | | AccumulatorV2 ## What changes were proposed in this pull request? The patch updates the codes & docs in the example module as well as the related doc module: - [ ] [docs] `streaming-programming-guide.md` - [x] scala code part - [ ] java code part - [ ] python code part - [x] [examples] `RecoverableNetworkWordCount.scala` - [ ] [examples] `JavaRecoverableNetworkWordCount.java` - [ ] [examples] `recoverable_network_wordcount.py` ## How was this patch tested? Ran the examples and verified results manually. Author: Liwei Lin <lwlin7@gmail.com> Closes #12981 from lw-lin/accumulatorV2-examples.
* [SPARK-15618][SQL][MLLIB] Use SparkSession.builder.sparkContext if applicable.Dongjoon Hyun2016-05-313-9/+4
| | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? This PR changes function `SparkSession.builder.sparkContext(..)` from **private[sql]** into **private[spark]**, and uses it if applicable like the followings. ``` - val spark = SparkSession.builder().config(sc.getConf).getOrCreate() + val spark = SparkSession.builder().sparkContext(sc).getOrCreate() ``` ## How was this patch tested? Pass the existing Jenkins tests. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #13365 from dongjoon-hyun/SPARK-15618.
* [SPARK-15645][STREAMING] Fix some typos of Streaming moduleXin Ren2016-05-302-2/+2
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? No code change, just some typo fixing. ## How was this patch tested? Manually run project build with testing, and build is successful. Author: Xin Ren <iamshrek@126.com> Closes #13385 from keypointt/codeWalkThroughStreaming.
* [SPARK-15562][ML] Delete temp directory after program exit in DataFrameExampledding32016-05-271-2/+2
| | | | | | | | | | | | | ## What changes were proposed in this pull request? Temp directory used to save records is not deleted after program exit in DataFrameExample. Although it called deleteOnExit, it doesn't work as the directory is not empty. Similar things happend in ContextCleanerSuite. Update the code to make sure temp directory is deleted after program exit. ## How was this patch tested? unit tests and local build. Author: dding3 <ding.ding@intel.com> Closes #13328 from dding3/master.
* [SPARK-15449][MLLIB][EXAMPLE] Wrong Data Format - Documentation Issuewm624@hotmail.com2016-05-273-21/+10
| | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? (Please fill in changes proposed in this fix) In the MLLib naivebayes example, scala and python example doesn't use libsvm data, but Java does. I make changes in scala and python example to use the libsvm data as the same as Java example. ## How was this patch tested? Manual tests Author: wm624@hotmail.com <wm624@hotmail.com> Closes #13301 from wangmiao1981/example.
* [MINOR] Fix Typos 'a -> an'Zheng RuiFeng2016-05-262-2/+2
| | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? `a` -> `an` I use regex to generate potential error lines: `grep -in ' a [aeiou]' mllib/src/main/scala/org/apache/spark/ml/*/*scala` and review them line by line. ## How was this patch tested? local build `lint-java` checking Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #13317 from zhengruifeng/a_an.
* [SPARK-15457][MLLIB][ML] Eliminate some warnings from MLlib about deprecationsSean Owen2016-05-2611-23/+19
| | | | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? Several classes and methods have been deprecated and are creating lots of build warnings in branch-2.0. This issue is to identify and fix those items: * WithSGD classes: Change to make class not deprecated, object deprecated, and public class constructor deprecated. Any public use will require a deprecated API. We need to keep a non-deprecated private API since we cannot eliminate certain uses: Python API, streaming algs, and examples. * Use in PythonMLlibAPI: Change to using private constructors * Streaming algs: No warnings after we un-deprecate the classes * Examples: Deprecate or change ones which use deprecated APIs * MulticlassMetrics fields (precision, etc.) * LinearRegressionSummary.model field ## How was this patch tested? Existing tests. Checked for warnings manually. Author: Sean Owen <sowen@cloudera.com> Author: Joseph K. Bradley <joseph@databricks.com> Closes #13314 from jkbradley/warning-cleanups.
* [SPARK-15492][ML][DOC] Binarization scala example copy & paste to ↵wm624@hotmail.com2016-05-262-4/+3
| | | | | | | | | | | | | | | | | | | spark-shell error ## What changes were proposed in this pull request? (Please fill in changes proposed in this fix) The Binarization scala example val dataFrame : Dataframe = spark.createDataFrame(data).toDF("label", "feature"), which can't be pasted in the spark-shell as Dataframe is not imported. Compared with other examples, this explicit type is not required. So I removed Dataframe in the code. ## How was this patch tested? (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) Manually tested Author: wm624@hotmail.com <wm624@hotmail.com> Closes #13266 from wangmiao1981/unit.
* [MINOR] [PYSPARK] [EXAMPLES] Changed examples to use ↵Bryan Cutler2016-05-255-5/+5
| | | | | | | | | | | | | | | SparkSession.sparkContext instead of _sc ## What changes were proposed in this pull request? Some PySpark examples need a SparkContext and get it by accessing _sc directly from the session. These examples should use the provided property `sparkContext` in `SparkSession` instead. ## How was this patch tested? Ran modified examples Author: Bryan Cutler <cutlerb@gmail.com> Closes #13303 from BryanCutler/pyspark-session-sparkContext-MINOR.
* [SPARK-15396][SQL][DOC] It can't connect hive metastore databasegatorsmile2016-05-211-4/+7
| | | | | | | | | | | | | | | | | | | | | | | | | | #### What changes were proposed in this pull request? The `hive.metastore.warehouse.dir` property in hive-site.xml is deprecated since Spark 2.0.0. Users might not be able to connect to the existing metastore if they do not use the new conf parameter `spark.sql.warehouse.dir`. This PR is to update the document and example for explaining the latest changes in the configuration of default location of database. Below is the screenshot of the latest generated docs: <img width="681" alt="screenshot 2016-05-20 08 38 10" src="https://cloud.githubusercontent.com/assets/11567269/15433296/a05c4ace-1e66-11e6-8d2b-73682b32e9c2.png"> <img width="789" alt="screenshot 2016-05-20 08 53 26" src="https://cloud.githubusercontent.com/assets/11567269/15433734/645dc42e-1e68-11e6-9476-effc9f8721bb.png"> <img width="789" alt="screenshot 2016-05-20 08 53 37" src="https://cloud.githubusercontent.com/assets/11567269/15433738/68569f92-1e68-11e6-83d3-ef5bb221a8d8.png"> No change is made in the R's example. <img width="860" alt="screenshot 2016-05-20 08 54 38" src="https://cloud.githubusercontent.com/assets/11567269/15433779/965b8312-1e68-11e6-8bc4-53c88ceacde2.png"> #### How was this patch tested? N/A Author: gatorsmile <gatorsmile@gmail.com> Closes #13225 from gatorsmile/document.
* [SPARK-15031][EXAMPLE] Use SparkSession in examplesZheng RuiFeng2016-05-2033-143/+276
| | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? Use `SparkSession` according to [SPARK-15031](https://issues.apache.org/jira/browse/SPARK-15031) `MLLLIB` is not recommended to use now, so examples in `MLLIB` are ignored in this PR. `StreamingContext` can not be directly obtained from `SparkSession`, so example in `Streaming` are ignored too. cc andrewor14 ## How was this patch tested? manual tests with spark-submit Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #13164 from zhengruifeng/use_sparksession_ii.
* [SPARK-15222][SPARKR][ML] SparkR ML examples update in 2.0Yanbo Liang2016-05-201-17/+112
| | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? Update example code in examples/src/main/r/ml.R to reflect the new algorithms. * spark.glm and glm * spark.survreg * spark.naiveBayes * spark.kmeans ## How was this patch tested? Offline test. Author: Yanbo Liang <ybliang8@gmail.com> Closes #13000 from yanboliang/spark-15222.
* [SPARK-15398][ML] Update the warning message to recommend ML usageZheng RuiFeng2016-05-1912-37/+28
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? MLlib are not recommended to use, and some methods are even deprecated. Update the warning message to recommend ML usage. ``` def showWarning() { System.err.println( """WARN: This is a naive implementation of Logistic Regression and is given as an example! |Please use either org.apache.spark.mllib.classification.LogisticRegressionWithSGD or |org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS |for more conventional use. """.stripMargin) } ``` To ``` def showWarning() { System.err.println( """WARN: This is a naive implementation of Logistic Regression and is given as an example! |Please use org.apache.spark.ml.classification.LogisticRegression |for more conventional use. """.stripMargin) } ``` ## How was this patch tested? local build Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #13190 from zhengruifeng/update_recd.
* [SPARK-15363][ML][EXAMPLE] Example code shouldn't use VectorImplicits._, ↵wm624@hotmail.com2016-05-191-2/+2
| | | | | | | | | | | | | | | | | | | | | asML/fromML ## What changes were proposed in this pull request? (Please fill in changes proposed in this fix) In this DataFrame example, we use VectorImplicits._, which is private API. Since Vectors object has public API, we use Vectors.fromML instead of implicts. ## How was this patch tested? (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) Manually run the example. Author: wm624@hotmail.com <wm624@hotmail.com> Closes #13213 from wangmiao1981/ml.
* [SPARK-15296][MLLIB] Refactor All Java Tests that use SparkSessionSandeep Singh2016-05-191-1/+1
| | | | | | | | | | | | ## What changes were proposed in this pull request? Refactor All Java Tests that use SparkSession, to extend SharedSparkSesion ## How was this patch tested? Existing Tests Author: Sandeep Singh <sandeep@techaddict.me> Closes #13101 from techaddict/SPARK-15296.
* [SPARK-15031][EXAMPLES][FOLLOW-UP] Make Python param example working with ↵hyukjinkwon2016-05-193-15/+13
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | SparkSession ## What changes were proposed in this pull request? It seems most of Python examples were changed to use SparkSession by https://github.com/apache/spark/pull/12809. This PR said both examples below: - `simple_params_example.py` - `aft_survival_regression.py` are not changed because it dose not work. It seems `aft_survival_regression.py` is changed by https://github.com/apache/spark/pull/13050 but `simple_params_example.py` is not yet. This PR corrects the example and make this use SparkSession. In more detail, it seems `threshold` is replaced to `thresholds` here and there by https://github.com/apache/spark/commit/5a23213c148bfe362514f9c71f5273ebda0a848a. However, when it calls `lr.fit(training, paramMap)` this overwrites the values. So, `threshold` was 5 and `thresholds` becomes 5.5 (by `1 / (1 + thresholds(0) / thresholds(1)`). According to the comment below. this is not allowed, https://github.com/apache/spark/blob/354f8f11bd4b20fa99bd67a98da3525fd3d75c81/mllib/src/main/scala/org/apache/spark/ml/classification/LogisticRegression.scala#L58-L61. So, in this PR, it sets the equivalent value so that this does not throw an exception. ## How was this patch tested? Manully (`mvn package -DskipTests && spark-submit simple_params_example.py`) Author: hyukjinkwon <gurwls223@gmail.com> Closes #13135 from HyukjinKwon/SPARK-15031.
* [SPARK-15322][MLLIB][CORE][SQL] update deprecate accumulator usage into ↵WeichenXu2016-05-181-5/+6
| | | | | | | | | | | | | | | | accumulatorV2 in spark project ## What changes were proposed in this pull request? I use Intellj-IDEA to search usage of deprecate SparkContext.accumulator in the whole spark project, and update the code.(except those test code for accumulator method itself) ## How was this patch tested? Exisiting unit tests Author: WeichenXu <WeichenXu123@outlook.com> Closes #13112 from WeichenXu123/update_accuV2_in_mllib.
* [SPARK-15171][SQL] Remove the references to deprecated method ↵Sean Zhong2016-05-187-13/+13
| | | | | | | | | | | | | | | | | dataset.registerTempTable ## What changes were proposed in this pull request? Update the unit test code, examples, and documents to remove calls to deprecated method `dataset.registerTempTable`. ## How was this patch tested? This PR only changes the unit test code, examples, and comments. It should be safe. This is a follow up of PR https://github.com/apache/spark/pull/12945 which was merged. Author: Sean Zhong <seanzhong@databricks.com> Closes #13098 from clockfly/spark-15171-remove-deprecation.
* [SPARK-14615][ML] Use the new ML Vector and Matrix in the ML pipeline based ↵DB Tsai2016-05-1720-27/+28
| | | | | | | | | | | | | | | | | | algorithms ## What changes were proposed in this pull request? Once SPARK-14487 and SPARK-14549 are merged, we will migrate to use the new vector and matrix type in the new ml pipeline based apis. ## How was this patch tested? Unit tests Author: DB Tsai <dbt@netflix.com> Author: Liang-Chi Hsieh <simonh@tw.ibm.com> Author: Xiangrui Meng <meng@databricks.com> Closes #12627 from dbtsai/SPARK-14615-NewML.
* [SPARK-15318][ML][EXAMPLE] spark.ml Collaborative Filtering example does not ↵wm624@hotmail.com2016-05-171-7/+12
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | work in spark-shell ## What changes were proposed in this pull request? (Please fill in changes proposed in this fix) copy & paste example in ml-collaborative-filtering.html into spark-shell, we see the following errors. scala> case class Rating(userId: Int, movieId: Int, rating: Float, timestamp: Long) defined class Rating scala> object Rating { def parseRating(str: String): Rating = { | val fields = str.split("::") | assert(fields.size == 4) | Rating(fields(0).toInt, fields(1).toInt, fields(2).toFloat, fields(3).toLong) | } } <console>:29: error: Rating.type does not take parameters Rating(fields(0).toInt, fields(1).toInt, fields(2).toFloat, fields(3).toLong) ^ In standard scala repl, it has the same error. Scala/spark-shell repl has some quirks (e.g. packages are also not well supported). The reason of errors is that scala/spark-shell repl discards previous definitions when we define the Object with the same class name. Solution: We can rename the Object Rating. ## How was this patch tested? (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) Manually test it: 1). ./bin/run-example ALSExample 2). copy & paste example in the generated document. It works fine. Author: wm624@hotmail.com <wm624@hotmail.com> Closes #13110 from wangmiao1981/repl.
* [SPARK-14434][ML] User guide doc and examples for GaussianMixture in spark.mlwm624@hotmail.com2016-05-173-0/+170
| | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? (Please fill in changes proposed in this fix) Add guide doc and examples for GaussianMixture in Spark.ml in Java, Scala and Python. ## How was this patch tested? (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) Manual compile and test all examples Author: wm624@hotmail.com <wm624@hotmail.com> Closes #12788 from wangmiao1981/example.
* [SPARK-14979][ML][PYSPARK] Add examples for GeneralizedLinearRegressionYanbo Liang2016-05-163-0/+227
| | | | | | | | | | | | ## What changes were proposed in this pull request? Add Scala/Java/Python examples for ```GeneralizedLinearRegression```. ## How was this patch tested? They are examples and have been tested offline. Author: Yanbo Liang <ybliang8@gmail.com> Closes #12754 from yanboliang/spark-14979.
* [SPARK-15171][SQL] Deprecate registerTempTable and add dataset.createTempViewSean Zhong2016-05-126-10/+10
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? Deprecates registerTempTable and add dataset.createTempView, dataset.createOrReplaceTempView. ## How was this patch tested? Unit tests. Author: Sean Zhong <seanzhong@databricks.com> Closes #12945 from clockfly/spark-15171.
* [SPARK-15031][SPARK-15134][EXAMPLE][DOC] Use SparkSession and update indent ↵Zheng RuiFeng2016-05-1134-151/+192
| | | | | | | | | | | | | | | | in examples ## What changes were proposed in this pull request? 1, Use `SparkSession` according to [SPARK-15031](https://issues.apache.org/jira/browse/SPARK-15031) 2, Update indent for `SparkContext` according to [SPARK-15134](https://issues.apache.org/jira/browse/SPARK-15134) 3, BTW, remove some duplicate space and add missing '.' ## How was this patch tested? manual tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #13050 from zhengruifeng/use_sparksession.
* [SPARK-14933][HOTFIX] Replace `sqlContext` with `spark`.Dongjoon Hyun2016-05-111-1/+1
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? This fixes compile errors. ## How was this patch tested? Pass the Jenkins tests. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #13053 from dongjoon-hyun/hotfix_sqlquerysuite.
* [SPARK-15150][EXAMPLE][DOC] Update LDA examplesZheng RuiFeng2016-05-116-79/+125
| | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? 1,create a libsvm-type dataset for lda: `data/mllib/sample_lda_libsvm_data.txt` 2,add python example 3,directly read the datafile in examples 4,BTW, change to `SparkSession` in `aft_survival_regression.py` ## How was this patch tested? manual tests `./bin/spark-submit examples/src/main/python/ml/lda_example.py` Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #12927 from zhengruifeng/lda_pe.
* [SPARK-15149][EXAMPLE][DOC] update kmeans exampleZheng RuiFeng2016-05-113-94/+45
| | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? Python example for ml.kmeans already exists, but not included in user guide. 1,small changes like: `example_on` `example_off` 2,add it to user guide 3,update examples to directly read datafile ## How was this patch tested? manual tests `./bin/spark-submit examples/src/main/python/ml/kmeans_example.py Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #12925 from zhengruifeng/km_pe.
* [SPARK-14340][EXAMPLE][DOC] Update Examples and User Guide for ↵Zheng RuiFeng2016-05-113-47/+97
| | | | | | | | | | | | | | | | | | ml.BisectingKMeans ## What changes were proposed in this pull request? 1, add BisectingKMeans to ml-clustering.md 2, add the missing Scala BisectingKMeansExample 3, create a new datafile `data/mllib/sample_kmeans_data.txt` ## How was this patch tested? manual tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #11844 from zhengruifeng/doc_bkm.
* [SPARK-15141][EXAMPLE][DOC] Update OneVsRest ExamplesZheng RuiFeng2016-05-113-316/+122
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? 1, Add python example for OneVsRest 2, remove args-parsing ## How was this patch tested? manual tests `./bin/spark-submit examples/src/main/python/ml/one_vs_rest_example.py` Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #12920 from zhengruifeng/ovr_pe.
* [MINOR][DOCS] Remove remaining sqlContext in documentation at exampleshyukjinkwon2016-05-092-2/+2
| | | | | | | | | | This PR removes `sqlContext` in examples. Actual usage was all replaced in https://github.com/apache/spark/pull/12809 but there are some in comments. Manual style checking. Author: hyukjinkwon <gurwls223@gmail.com> Closes #13006 from HyukjinKwon/minor-docs.
* [MINOR] [SPARKR] Update data-manipulation.R to use native csv readerYanbo Liang2016-05-091-4/+3
| | | | | | | | | | | | | ## What changes were proposed in this pull request? * Since Spark has supported native csv reader, it does not necessary to use the third party ```spark-csv``` in ```examples/src/main/r/data-manipulation.R```. Meanwhile, remove all ```spark-csv``` usage in SparkR. * Running R applications through ```sparkR``` is not supported as of Spark 2.0, so we change to use ```./bin/spark-submit``` to run the example. ## How was this patch tested? Offline test. Author: Yanbo Liang <ybliang8@gmail.com> Closes #13005 from yanboliang/r-df-examples.
* [MINOR][ML][PYSPARK] ALS example cleanupNick Pentreath2016-05-073-17/+4
| | | | | | | | | | | | Cleans up ALS examples by removing unnecessary casts to double for `rating` and `prediction` columns, since `RegressionEvaluator` now supports `Double` & `Float` input types. ## How was this patch tested? Manual compile and run with `run-example ml.ALSExample` and `spark-submit examples/src/main/python/ml/als_example.py`. Author: Nick Pentreath <nickp@za.ibm.com> Closes #12892 from MLnick/als-examples-cleanup.
* [SPARK-14512] [DOC] Add python example for QuantileDiscretizerZheng RuiFeng2016-05-061-0/+39
| | | | | | | | | | | | ## What changes were proposed in this pull request? Add the missing python example for QuantileDiscretizer ## How was this patch tested? manual tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #12281 from zhengruifeng/discret_pe.
* [SPARK-15134][EXAMPLE] Indent SparkSession builder patterns and update ↵Dongjoon Hyun2016-05-05137-162/+565
| | | | | | | | | | | | | | | | | | | binary_classification_metrics_example.py ## What changes were proposed in this pull request? This issue addresses the comments in SPARK-15031 and also fix java-linter errors. - Use multiline format in SparkSession builder patterns. - Update `binary_classification_metrics_example.py` to use `SparkSession`. - Fix Java Linter errors (in SPARK-13745, SPARK-15031, and so far) ## How was this patch tested? After passing the Jenkins tests and run `dev/lint-java` manually. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #12911 from dongjoon-hyun/SPARK-15134.
* [SPARK-15072][SQL][REPL][EXAMPLES] Remove SparkSession.withHiveSupportSandeep Singh2016-05-051-5/+9
| | | | | | | | | | | | ## What changes were proposed in this pull request? Removing the `withHiveSupport` method of `SparkSession`, instead use `enableHiveSupport` ## How was this patch tested? ran tests locally Author: Sandeep Singh <sandeep@techaddict.me> Closes #12851 from techaddict/SPARK-15072.
* [SPARK-15031][EXAMPLE] Use SparkSession in Scala/Python/Java example.Dongjoon Hyun2016-05-04154-1232/+847
| | | | | | | | | | | | | | | | | | | | | | | | | ## What changes were proposed in this pull request? This PR aims to update Scala/Python/Java examples by replacing `SQLContext` with newly added `SparkSession`. - Use **SparkSession Builder Pattern** in 154(Scala 55, Java 52, Python 47) files. - Add `getConf` in Python SparkContext class: `python/pyspark/context.py` - Replace **SQLContext Singleton Pattern** with **SparkSession Singleton Pattern**: - `SqlNetworkWordCount.scala` - `JavaSqlNetworkWordCount.java` - `sql_network_wordcount.py` Now, `SQLContexts` are used only in R examples and the following two Python examples. The python examples are untouched in this PR since it already fails some unknown issue. - `simple_params_example.py` - `aft_survival_regression.py` ## How was this patch tested? Manual. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #12809 from dongjoon-hyun/SPARK-15031.
* [MINOR] Add python3 compatibility in python examplesZheng RuiFeng2016-05-042-0/+8
| | | | | | | | | | | | ## What changes were proposed in this pull request? Add python3 compatibility in python examples ## How was this patch tested? manual tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #12868 from zhengruifeng/fix_gmm_py.
* [SPARK-15084][PYTHON][SQL] Use builder pattern to create SparkSession in ↵Dongjoon Hyun2016-05-031-20/+15
| | | | | | | | | | | | | | | | PySpark. ## What changes were proposed in this pull request? This is a python port of corresponding Scala builder pattern code. `sql.py` is modified as a target example case. ## How was this patch tested? Manual. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #12860 from dongjoon-hyun/SPARK-15084.
* [SPARK-15073][SQL] Hide SparkSession constructor from the publicAndrew Or2016-05-031-6/+3
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? Users should use the builder pattern instead. ## How was this patch tested? Jenks. Author: Andrew Or <andrew@databricks.com> Closes #12873 from andrewor14/spark-session-constructor.
* [MINOR][EXAMPLE] Use SparkSession instead of SQLContext in RDDRelation.scalaDongjoon Hyun2016-04-301-10/+10
| | | | | | | | | | | | | | ## What changes were proposed in this pull request? Now, `SQLContext` is used for backward-compatibility, we had better use `SparkSession` in Spark 2.0 examples. ## How was this patch tested? It's just example change. After building, run `bin/run-example org.apache.spark.examples.sql.RDDRelation`. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #12808 from dongjoon-hyun/rddrelation.
* [SPARK-14937][ML][DOCUMENT] spark.ml LogisticRegression sqlCtx in scala is ↵wm624@hotmail.com2016-04-273-7/+7
| | | | | | | | | | | | | | | | | inconsistent with java and python ## What changes were proposed in this pull request? In spark.ml document, the LogisticRegression scala example uses sqlCtx. It is inconsistent with java and python examples which use sqlContext. In addition, a user can't copy & paste to run the example in spark-shell as sqlCtx doesn't exist in spark-shell while sqlContext exists. Change the scala example referred by the spark.ml example. ## How was this patch tested? Compile the example scala file and it passes compilation. Author: wm624@hotmail.com <wm624@hotmail.com> Closes #12717 from wangmiao1981/doc.
* [SPARK-14514][DOC] Add python example for VectorSlicerZheng RuiFeng2016-04-261-0/+44
| | | | | | | | | | | | ## What changes were proposed in this pull request? Add the missing python example for VectorSlicer ## How was this patch tested? manual tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #12282 from zhengruifeng/vecslicer_pe.
* [SPARK-14756][CORE] Use parseLong instead of valueOfAzeem Jiva2016-04-261-4/+4
| | | | | | | | | | | | | | | ## What changes were proposed in this pull request? Use Long.parseLong which returns a primative. Use a series of appends() reduces the creation of an extra StringBuilder type ## How was this patch tested? Unit tests Author: Azeem Jiva <azeemj@gmail.com> Closes #12520 from javawithjiva/minor.
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