Console Output
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removing 'pyspark-3.1.0.dev0' (and everything under it)
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Obtaining file:///home/jenkins/workspace/NewSparkPullRequestBuilder/python
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Downloading py4j-0.10.9-py2.py3-none-any.whl (198 kB)
Installing collected packages: py4j, pyspark
Running setup.py develop for pyspark
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Run basic sanity check on pip installed version with spark-submit
log4j:ERROR setFile(null,true) call failed.
java.io.FileNotFoundException: target/unit-tests.log (No such file or directory)
at java.base/java.io.FileOutputStream.open0(Native Method)
at java.base/java.io.FileOutputStream.open(FileOutputStream.java:298)
at java.base/java.io.FileOutputStream.<init>(FileOutputStream.java:237)
at java.base/java.io.FileOutputStream.<init>(FileOutputStream.java:158)
at org.apache.log4j.FileAppender.setFile(FileAppender.java:294)
at org.apache.log4j.FileAppender.activateOptions(FileAppender.java:165)
at org.apache.log4j.config.PropertySetter.activate(PropertySetter.java:307)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:172)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:104)
at org.apache.log4j.PropertyConfigurator.parseAppender(PropertyConfigurator.java:842)
at org.apache.log4j.PropertyConfigurator.parseCategory(PropertyConfigurator.java:768)
at org.apache.log4j.PropertyConfigurator.configureRootCategory(PropertyConfigurator.java:648)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:514)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:580)
at org.apache.log4j.helpers.OptionConverter.selectAndConfigure(OptionConverter.java:526)
at org.apache.log4j.LogManager.<clinit>(LogManager.java:127)
at org.slf4j.impl.Log4jLoggerFactory.<init>(Log4jLoggerFactory.java:66)
at org.slf4j.impl.StaticLoggerBinder.<init>(StaticLoggerBinder.java:72)
at org.slf4j.impl.StaticLoggerBinder.<clinit>(StaticLoggerBinder.java:45)
at org.apache.spark.internal.Logging$.org$apache$spark$internal$Logging$$isLog4j12(Logging.scala:222)
at org.apache.spark.internal.Logging.initializeLogging(Logging.scala:127)
at org.apache.spark.internal.Logging.initializeLogIfNecessary(Logging.scala:111)
at org.apache.spark.internal.Logging.initializeLogIfNecessary$(Logging.scala:105)
at org.apache.spark.deploy.SparkSubmit.initializeLogIfNecessary(SparkSubmit.scala:75)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:83)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1013)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1022)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/home/jenkins/workspace/NewSparkPullRequestBuilder/assembly/target/scala-2.12/jars/spark-unsafe_2.12-3.1.0-SNAPSHOT.jar) to constructor java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
Successfully ran pip sanity check
Run basic sanity check with import based
log4j:ERROR setFile(null,true) call failed.
java.io.FileNotFoundException: target/unit-tests.log (No such file or directory)
at java.base/java.io.FileOutputStream.open0(Native Method)
at java.base/java.io.FileOutputStream.open(FileOutputStream.java:298)
at java.base/java.io.FileOutputStream.<init>(FileOutputStream.java:237)
at java.base/java.io.FileOutputStream.<init>(FileOutputStream.java:158)
at org.apache.log4j.FileAppender.setFile(FileAppender.java:294)
at org.apache.log4j.FileAppender.activateOptions(FileAppender.java:165)
at org.apache.log4j.config.PropertySetter.activate(PropertySetter.java:307)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:172)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:104)
at org.apache.log4j.PropertyConfigurator.parseAppender(PropertyConfigurator.java:842)
at org.apache.log4j.PropertyConfigurator.parseCategory(PropertyConfigurator.java:768)
at org.apache.log4j.PropertyConfigurator.configureRootCategory(PropertyConfigurator.java:648)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:514)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:580)
at org.apache.log4j.helpers.OptionConverter.selectAndConfigure(OptionConverter.java:526)
at org.apache.log4j.LogManager.<clinit>(LogManager.java:127)
at org.slf4j.impl.Log4jLoggerFactory.<init>(Log4jLoggerFactory.java:66)
at org.slf4j.impl.StaticLoggerBinder.<init>(StaticLoggerBinder.java:72)
at org.slf4j.impl.StaticLoggerBinder.<clinit>(StaticLoggerBinder.java:45)
at org.apache.spark.internal.Logging$.org$apache$spark$internal$Logging$$isLog4j12(Logging.scala:222)
at org.apache.spark.internal.Logging.initializeLogging(Logging.scala:127)
at org.apache.spark.internal.Logging.initializeLogIfNecessary(Logging.scala:111)
at org.apache.spark.internal.Logging.initializeLogIfNecessary$(Logging.scala:105)
at org.apache.spark.deploy.SparkSubmit.initializeLogIfNecessary(SparkSubmit.scala:75)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:83)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1013)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1022)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/home/jenkins/workspace/NewSparkPullRequestBuilder/assembly/target/scala-2.12/jars/spark-unsafe_2.12-3.1.0-SNAPSHOT.jar) to constructor java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
[Stage 0:> (0 + 10) / 10]
Successfully ran pip sanity check
Run the tests for context.py
log4j:ERROR setFile(null,true) call failed.
java.io.FileNotFoundException: target/unit-tests.log (No such file or directory)
at java.base/java.io.FileOutputStream.open0(Native Method)
at java.base/java.io.FileOutputStream.open(FileOutputStream.java:298)
at java.base/java.io.FileOutputStream.<init>(FileOutputStream.java:237)
at java.base/java.io.FileOutputStream.<init>(FileOutputStream.java:158)
at org.apache.log4j.FileAppender.setFile(FileAppender.java:294)
at org.apache.log4j.FileAppender.activateOptions(FileAppender.java:165)
at org.apache.log4j.config.PropertySetter.activate(PropertySetter.java:307)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:172)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:104)
at org.apache.log4j.PropertyConfigurator.parseAppender(PropertyConfigurator.java:842)
at org.apache.log4j.PropertyConfigurator.parseCategory(PropertyConfigurator.java:768)
at org.apache.log4j.PropertyConfigurator.configureRootCategory(PropertyConfigurator.java:648)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:514)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:580)
at org.apache.log4j.helpers.OptionConverter.selectAndConfigure(OptionConverter.java:526)
at org.apache.log4j.LogManager.<clinit>(LogManager.java:127)
at org.slf4j.impl.Log4jLoggerFactory.<init>(Log4jLoggerFactory.java:66)
at org.slf4j.impl.StaticLoggerBinder.<init>(StaticLoggerBinder.java:72)
at org.slf4j.impl.StaticLoggerBinder.<clinit>(StaticLoggerBinder.java:45)
at org.apache.spark.internal.Logging$.org$apache$spark$internal$Logging$$isLog4j12(Logging.scala:222)
at org.apache.spark.internal.Logging.initializeLogging(Logging.scala:127)
at org.apache.spark.internal.Logging.initializeLogIfNecessary(Logging.scala:111)
at org.apache.spark.internal.Logging.initializeLogIfNecessary$(Logging.scala:105)
at org.apache.spark.deploy.SparkSubmit.initializeLogIfNecessary(SparkSubmit.scala:75)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:83)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1013)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1022)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/home/jenkins/workspace/NewSparkPullRequestBuilder/assembly/target/scala-2.12/jars/spark-unsafe_2.12-3.1.0-SNAPSHOT.jar) to constructor java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
log4j:ERROR setFile(null,true) call failed.
java.io.FileNotFoundException: target/unit-tests.log (No such file or directory)
at java.base/java.io.FileOutputStream.open0(Native Method)
at java.base/java.io.FileOutputStream.open(FileOutputStream.java:298)
at java.base/java.io.FileOutputStream.<init>(FileOutputStream.java:237)
at java.base/java.io.FileOutputStream.<init>(FileOutputStream.java:158)
at org.apache.log4j.FileAppender.setFile(FileAppender.java:294)
at org.apache.log4j.FileAppender.activateOptions(FileAppender.java:165)
at org.apache.log4j.config.PropertySetter.activate(PropertySetter.java:307)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:172)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:104)
at org.apache.log4j.PropertyConfigurator.parseAppender(PropertyConfigurator.java:842)
at org.apache.log4j.PropertyConfigurator.parseCategory(PropertyConfigurator.java:768)
at org.apache.log4j.PropertyConfigurator.configureRootCategory(PropertyConfigurator.java:648)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:514)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:580)
at org.apache.log4j.helpers.OptionConverter.selectAndConfigure(OptionConverter.java:526)
at org.apache.log4j.LogManager.<clinit>(LogManager.java:127)
at org.slf4j.impl.Log4jLoggerFactory.<init>(Log4jLoggerFactory.java:66)
at org.slf4j.impl.StaticLoggerBinder.<init>(StaticLoggerBinder.java:72)
at org.slf4j.impl.StaticLoggerBinder.<clinit>(StaticLoggerBinder.java:45)
at org.apache.spark.internal.Logging$.org$apache$spark$internal$Logging$$isLog4j12(Logging.scala:222)
at org.apache.spark.internal.Logging.initializeLogging(Logging.scala:127)
at org.apache.spark.internal.Logging.initializeLogIfNecessary(Logging.scala:111)
at org.apache.spark.internal.Logging.initializeLogIfNecessary$(Logging.scala:105)
at org.apache.spark.deploy.SparkSubmit.initializeLogIfNecessary(SparkSubmit.scala:75)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:83)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1013)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1022)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/home/jenkins/workspace/NewSparkPullRequestBuilder/assembly/target/scala-2.12/jars/spark-unsafe_2.12-3.1.0-SNAPSHOT.jar) to constructor java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
[Stage 0:> (0 + 4) / 4]
[Stage 10:> (0 + 4) / 4]
[Stage 10:> (0 + 4) / 4][Stage 11:> (0 + 0) / 2]
/home/jenkins/workspace/NewSparkPullRequestBuilder/python/pyspark/util.py:141: UserWarning: Currently, 'setJobGroup' (set to local properties) with multiple threads does not properly work.
Internally threads on PVM and JVM are not synced, and JVM thread can be reused for multiple threads on PVM, which fails to isolate local properties for each thread on PVM.
To work around this, you can set PYSPARK_PIN_THREAD to true (see SPARK-22340). However, note that it cannot inherit the local properties from the parent thread although it isolates each thread on PVM and JVM with its own local properties.
To work around this, you should manually copy and set the local properties from the parent thread to the child thread when you create another thread.
warnings.warn(msg, UserWarning)
Cleaning up temporary directory - /tmp/tmp.6kPgdjqgTw
========================================================================
Running SparkR tests
========================================================================
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (file:/home/jenkins/workspace/NewSparkPullRequestBuilder/assembly/target/scala-2.12/jars/spark-unsafe_2.12-3.1.0-SNAPSHOT.jar) to constructor java.nio.DirectByteBuffer(long,int)
WARNING: Please consider reporting this to the maintainers of org.apache.spark.unsafe.Platform
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
Attaching package: ���SparkR���
The following objects are masked from ���package:testthat���:
describe, not
The following objects are masked from ���package:stats���:
cov, filter, lag, na.omit, predict, sd, var, window
The following objects are masked from ���package:base���:
as.data.frame, colnames, colnames<-, drop, endsWith, intersect,
rank, rbind, sample, startsWith, subset, summary, transform, union
Spark package found in SPARK_HOME: /home/jenkins/workspace/NewSparkPullRequestBuilder
������ testthat results ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������
OK: 13 SKIPPED: 0 FAILED: 0
��� | OK F W S | Context
��� | 0 | binary functions
��� | 1 | binary functions
��� | 2 | binary functions
��� | 3 | binary functions
��� | 4 | binary functions
��� | 5 | binary functions
��� | 6 | binary functions
��� | 7 | binary functions
��� | 8 | binary functions
��� | 9 | binary functions
��� | 10 | binary functions
��� | 11 | binary functions
��� | 11 | binary functions [2.3 s]
��� | 0 | functions on binary files
��� | 1 | functions on binary files
��� | 2 | functions on binary files
��� | 3 | functions on binary files
��� | 4 | functions on binary files
��� | 4 | functions on binary files [2.0 s]
��� | 0 | broadcast variables
��� | 1 | broadcast variables
��� | 2 | broadcast variables
��� | 2 | broadcast variables [0.3 s]
��� | 0 | functions in client.R
��� | 1 | functions in client.R
��� | 2 | functions in client.R
��� | 3 | functions in client.R
��� | 4 | functions in client.R
��� | 5 | functions in client.R
��� | 5 | functions in client.R
��� | 0 | test functions in sparkR.R
��� | 1 | test functions in sparkR.R
��� | 2 | test functions in sparkR.R
��� | 3 | test functions in sparkR.R
��� | 4 | test functions in sparkR.R
��� | 5 | test functions in sparkR.R
��� | 6 | test functions in sparkR.R
��� | 7 | test functions in sparkR.R
��� | 8 | test functions in sparkR.R
��� | 9 | test functions in sparkR.R
��� | 10 | test functions in sparkR.R
��� | 11 | test functions in sparkR.R
��� | 12 | test functions in sparkR.R
��� | 13 | test functions in sparkR.R
��� | 14 | test functions in sparkR.R
��� | 15 | test functions in sparkR.R
��� | 16 | test functions in sparkR.R
��� | 17 | test functions in sparkR.R
��� | 18 | test functions in sparkR.R
��� | 19 | test functions in sparkR.R
��� | 20 | test functions in sparkR.R
��� | 21 | test functions in sparkR.R
��� | 22 | test functions in sparkR.R
��� | 23 | test functions in sparkR.R
��� | 24 | test functions in sparkR.R
��� | 25 | test functions in sparkR.R
��� | 26 | test functions in sparkR.R
��� | 27 | test functions in sparkR.R
��� | 28 | test functions in sparkR.R
��� | 29 | test functions in sparkR.R
��� | 30 | test functions in sparkR.R
��� | 31 | test functions in sparkR.R
��� | 32 | test functions in sparkR.R
��� | 33 | test functions in sparkR.R
��� | 34 | test functions in sparkR.R
��� | 35 | test functions in sparkR.R
��� | 36 | test functions in sparkR.R
��� | 37 | test functions in sparkR.R
��� | 38 | test functions in sparkR.R
��� | 39 | test functions in sparkR.R
��� | 40 | test functions in sparkR.R
��� | 41 | test functions in sparkR.R
��� | 42 | test functions in sparkR.R
��� | 43 | test functions in sparkR.R
��� | 44 | test functions in sparkR.R
��� | 45 | test functions in sparkR.R
��� | 46 | test functions in sparkR.R
��� | 46 | test functions in sparkR.R [5.5 s]
��� | 0 | include R packages
��� | 1 | include R packages
��� | 2 | include R packages
��� | 2 | include R packages [0.6 s]
��� | 0 | JVM API
��� | 1 | JVM API
��� | 2 | JVM API
��� | 2 | JVM API [0.2 s]
��� | 0 | MLlib classification algorithms, except for tree-based algorithms
��� | 1 | MLlib classification algorithms, except for tree-based algorithms
��� | 2 | MLlib classification algorithms, except for tree-based algorithms
��� | 3 | MLlib classification algorithms, except for tree-based algorithms
��� | 4 | MLlib classification algorithms, except for tree-based algorithms
��� | 5 | MLlib classification algorithms, except for tree-based algorithms
��� | 6 | MLlib classification algorithms, except for tree-based algorithms
��� | 7 | MLlib classification algorithms, except for tree-based algorithms
��� | 8 | MLlib classification algorithms, except for tree-based algorithms
��� | 9 | MLlib classification algorithms, except for tree-based algorithms
��� | 10 | MLlib classification algorithms, except for tree-based algorithms
��� | 11 | MLlib classification algorithms, except for tree-based algorithms
��� | 12 | MLlib classification algorithms, except for tree-based algorithms
��� | 13 | MLlib classification algorithms, except for tree-based algorithms
��� | 14 | MLlib classification algorithms, except for tree-based algorithms
��� | 15 | MLlib classification algorithms, except for tree-based algorithms
��� | 16 | MLlib classification algorithms, except for tree-based algorithms
��� | 17 | MLlib classification algorithms, except for tree-based algorithms
��� | 18 | MLlib classification algorithms, except for tree-based algorithms
��� | 19 | MLlib classification algorithms, except for tree-based algorithms
��� | 20 | MLlib classification algorithms, except for tree-based algorithms
��� | 21 | MLlib classification algorithms, except for tree-based algorithms
��� | 22 | MLlib classification algorithms, except for tree-based algorithms
��� | 23 | MLlib classification algorithms, except for tree-based algorithms
��� | 24 | MLlib classification algorithms, except for tree-based algorithms
��� | 25 | MLlib classification algorithms, except for tree-based algorithms
��� | 26 | MLlib classification algorithms, except for tree-based algorithms
��� | 27 | MLlib classification algorithms, except for tree-based algorithms
��� | 28 | MLlib classification algorithms, except for tree-based algorithms
��� | 29 | MLlib classification algorithms, except for tree-based algorithms
��� | 30 | MLlib classification algorithms, except for tree-based algorithms
��� | 31 | MLlib classification algorithms, except for tree-based algorithms
��� | 32 | MLlib classification algorithms, except for tree-based algorithms
��� | 33 | MLlib classification algorithms, except for tree-based algorithms
��� | 34 | MLlib classification algorithms, except for tree-based algorithms
��� | 35 | MLlib classification algorithms, except for tree-based algorithms
��� | 36 | MLlib classification algorithms, except for tree-based algorithms
��� | 37 | MLlib classification algorithms, except for tree-based algorithms
��� | 38 | MLlib classification algorithms, except for tree-based algorithms
��� | 39 | MLlib classification algorithms, except for tree-based algorithms
��� | 40 | MLlib classification algorithms, except for tree-based algorithms
��� | 41 | MLlib classification algorithms, except for tree-based algorithms
��� | 42 | MLlib classification algorithms, except for tree-based algorithms
��� | 43 | MLlib classification algorithms, except for tree-based algorithms
��� | 44 | MLlib classification algorithms, except for tree-based algorithms
��� | 45 | MLlib classification algorithms, except for tree-based algorithms
��� | 46 | MLlib classification algorithms, except for tree-based algorithms
��� | 47 | MLlib classification algorithms, except for tree-based algorithms
��� | 48 | MLlib classification algorithms, except for tree-based algorithms
��� | 49 | MLlib classification algorithms, except for tree-based algorithms
��� | 50 | MLlib classification algorithms, except for tree-based algorithms
��� | 51 | MLlib classification algorithms, except for tree-based algorithms
��� | 52 | MLlib classification algorithms, except for tree-based algorithms
��� | 53 | MLlib classification algorithms, except for tree-based algorithms
��� | 54 | MLlib classification algorithms, except for tree-based algorithms
��� | 55 | MLlib classification algorithms, except for tree-based algorithms
��� | 56 | MLlib classification algorithms, except for tree-based algorithms
��� | 57 | MLlib classification algorithms, except for tree-based algorithms
��� | 58 | MLlib classification algorithms, except for tree-based algorithms
��� | 59 | MLlib classification algorithms, except for tree-based algorithms
��� | 60 | MLlib classification algorithms, except for tree-based algorithms
��� | 61 | MLlib classification algorithms, except for tree-based algorithms
��� | 62 | MLlib classification algorithms, except for tree-based algorithms
��� | 63 | MLlib classification algorithms, except for tree-based algorithms
��� | 64 | MLlib classification algorithms, except for tree-based algorithms
��� | 65 | MLlib classification algorithms, except for tree-based algorithms
��� | 66 | MLlib classification algorithms, except for tree-based algorithms
��� | 67 | MLlib classification algorithms, except for tree-based algorithms
��� | 68 | MLlib classification algorithms, except for tree-based algorithms
��� | 69 | MLlib classification algorithms, except for tree-based algorithms
��� | 70 | MLlib classification algorithms, except for tree-based algorithms
��� | 71 | MLlib classification algorithms, except for tree-based algorithms
��� | 72 | MLlib classification algorithms, except for tree-based algorithms
��� | 73 | MLlib classification algorithms, except for tree-based algorithms
��� | 74 | MLlib classification algorithms, except for tree-based algorithms
��� | 75 | MLlib classification algorithms, except for tree-based algorithms
��� | 75 | MLlib classification algorithms, except for tree-based algorithms [97.7 s]
��� | 0 | MLlib clustering algorithms
��� | 1 | MLlib clustering algorithms
��� | 2 | MLlib clustering algorithms
��� | 3 | MLlib clustering algorithms
��� | 4 | MLlib clustering algorithms
��� | 5 | MLlib clustering algorithms
��� | 6 | MLlib clustering algorithms
��� | 7 | MLlib clustering algorithms
��� | 8 | MLlib clustering algorithms
��� | 9 | MLlib clustering algorithms
��� | 10 | MLlib clustering algorithms
��� | 11 | MLlib clustering algorithms
��� | 12 | MLlib clustering algorithms
��� | 13 | MLlib clustering algorithms
��� | 14 | MLlib clustering algorithms
��� | 15 | MLlib clustering algorithms
��� | 16 | MLlib clustering algorithms
��� | 17 | MLlib clustering algorithms
��� | 18 | MLlib clustering algorithms
��� | 19 | MLlib clustering algorithms
��� | 20 | MLlib clustering algorithms
��� | 21 | MLlib clustering algorithms
��� | 22 | MLlib clustering algorithms
��� | 23 | MLlib clustering algorithms
��� | 24 | MLlib clustering algorithms
��� | 25 | MLlib clustering algorithms
��� | 26 | MLlib clustering algorithms
��� | 27 | MLlib clustering algorithms
��� | 28 | MLlib clustering algorithms
��� | 29 | MLlib clustering algorithms
��� | 30 | MLlib clustering algorithms
��� | 31 | MLlib clustering algorithms
��� | 32 | MLlib clustering algorithms
��� | 33 | MLlib clustering algorithms
��� | 34 | MLlib clustering algorithms
��� | 35 | MLlib clustering algorithms
��� | 36 | MLlib clustering algorithms
��� | 37 | MLlib clustering algorithms
��� | 38 | MLlib clustering algorithms
��� | 39 | MLlib clustering algorithms
��� | 40 | MLlib clustering algorithms
��� | 41 | MLlib clustering algorithms
��� | 42 | MLlib clustering algorithms
��� | 43 | MLlib clustering algorithms
��� | 44 | MLlib clustering algorithms
��� | 45 | MLlib clustering algorithms
��� | 46 | MLlib clustering algorithms
��� | 47 | MLlib clustering algorithms
��� | 48 | MLlib clustering algorithms
��� | 49 | MLlib clustering algorithms
��� | 50 | MLlib clustering algorithms
��� | 51 | MLlib clustering algorithms
��� | 52 | MLlib clustering algorithms
��� | 53 | MLlib clustering algorithms
��� | 54 | MLlib clustering algorithms
��� | 55 | MLlib clustering algorithms
��� | 56 | MLlib clustering algorithms
��� | 57 | MLlib clustering algorithms
��� | 58 | MLlib clustering algorithms
��� | 59 | MLlib clustering algorithms
��� | 60 | MLlib clustering algorithms
��� | 61 | MLlib clustering algorithms
��� | 62 | MLlib clustering algorithms
��� | 63 | MLlib clustering algorithms
��� | 64 | MLlib clustering algorithms
��� | 65 | MLlib clustering algorithms
��� | 66 | MLlib clustering algorithms
��� | 67 | MLlib clustering algorithms
��� | 68 | MLlib clustering algorithms
��� | 69 | MLlib clustering algorithms
��� | 70 | MLlib clustering algorithms
��� | 70 | MLlib clustering algorithms [35.7 s]
��� | 0 | MLlib frequent pattern mining
��� | 1 | MLlib frequent pattern mining
��� | 2 | MLlib frequent pattern mining
��� | 3 | MLlib frequent pattern mining
��� | 4 | MLlib frequent pattern mining
��� | 5 | MLlib frequent pattern mining
��� | 6 | MLlib frequent pattern mining
��� | 6 | MLlib frequent pattern mining [3.5 s]
��� | 0 | MLlib recommendation algorithms
��� | 1 | MLlib recommendation algorithms
��� | 2 | MLlib recommendation algorithms
��� | 3 | MLlib recommendation algorithms
��� | 4 | MLlib recommendation algorithms
��� | 5 | MLlib recommendation algorithms
��� | 6 | MLlib recommendation algorithms
��� | 7 | MLlib recommendation algorithms
��� | 8 | MLlib recommendation algorithms
��� | 8 | MLlib recommendation algorithms [6.2 s]
��� | 0 | MLlib regression algorithms, except for tree-based algorithms
��� | 1 | MLlib regression algorithms, except for tree-based algorithms
��� | 2 | MLlib regression algorithms, except for tree-based algorithms
��� | 3 | MLlib regression algorithms, except for tree-based algorithms
��� | 4 | MLlib regression algorithms, except for tree-based algorithms
��� | 5 | MLlib regression algorithms, except for tree-based algorithms
��� | 6 | MLlib regression algorithms, except for tree-based algorithms
��� | 7 | MLlib regression algorithms, except for tree-based algorithms
��� | 8 | MLlib regression algorithms, except for tree-based algorithms
��� | 9 | MLlib regression algorithms, except for tree-based algorithms
��� | 10 | MLlib regression algorithms, except for tree-based algorithms
��� | 11 | MLlib regression algorithms, except for tree-based algorithms
��� | 12 | MLlib regression algorithms, except for tree-based algorithms
��� | 13 | MLlib regression algorithms, except for tree-based algorithms
��� | 14 | MLlib regression algorithms, except for tree-based algorithms
��� | 15 | MLlib regression algorithms, except for tree-based algorithms
��� | 16 | MLlib regression algorithms, except for tree-based algorithms
��� | 17 | MLlib regression algorithms, except for tree-based algorithms
��� | 18 | MLlib regression algorithms, except for tree-based algorithms
��� | 19 | MLlib regression algorithms, except for tree-based algorithms
��� | 20 | MLlib regression algorithms, except for tree-based algorithms
��� | 21 | MLlib regression algorithms, except for tree-based algorithms
��� | 22 | MLlib regression algorithms, except for tree-based algorithms
��� | 23 | MLlib regression algorithms, except for tree-based algorithms
��� | 24 | MLlib regression algorithms, except for tree-based algorithms
��� | 25 | MLlib regression algorithms, except for tree-based algorithms
��� | 26 | MLlib regression algorithms, except for tree-based algorithms
��� | 27 | MLlib regression algorithms, except for tree-based algorithms
��� | 28 | MLlib regression algorithms, except for tree-based algorithms
��� | 29 | MLlib regression algorithms, except for tree-based algorithms
��� | 30 | MLlib regression algorithms, except for tree-based algorithms
��� | 31 | MLlib regression algorithms, except for tree-based algorithms
��� | 32 | MLlib regression algorithms, except for tree-based algorithms
��� | 33 | MLlib regression algorithms, except for tree-based algorithms
��� | 34 | MLlib regression algorithms, except for tree-based algorithms
��� | 35 | MLlib regression algorithms, except for tree-based algorithms
��� | 36 | MLlib regression algorithms, except for tree-based algorithms
��� | 37 | MLlib regression algorithms, except for tree-based algorithms
��� | 38 | MLlib regression algorithms, except for tree-based algorithms
��� | 39 | MLlib regression algorithms, except for tree-based algorithms
��� | 40 | MLlib regression algorithms, except for tree-based algorithms
��� | 41 | MLlib regression algorithms, except for tree-based algorithms
��� | 42 | MLlib regression algorithms, except for tree-based algorithms
��� | 43 | MLlib regression algorithms, except for tree-based algorithms
��� | 44 | MLlib regression algorithms, except for tree-based algorithms
��� | 45 | MLlib regression algorithms, except for tree-based algorithms
��� | 46 | MLlib regression algorithms, except for tree-based algorithms
��� | 47 | MLlib regression algorithms, except for tree-based algorithms
��� | 48 | MLlib regression algorithms, except for tree-based algorithms
��� | 49 | MLlib regression algorithms, except for tree-based algorithms
��� | 50 | MLlib regression algorithms, except for tree-based algorithms
��� | 51 | MLlib regression algorithms, except for tree-based algorithms
��� | 52 | MLlib regression algorithms, except for tree-based algorithms
��� | 53 | MLlib regression algorithms, except for tree-based algorithms
��� | 54 | MLlib regression algorithms, except for tree-based algorithms
��� | 55 | MLlib regression algorithms, except for tree-based algorithms
��� | 56 | MLlib regression algorithms, except for tree-based algorithms
��� | 57 | MLlib regression algorithms, except for tree-based algorithms
��� | 58 | MLlib regression algorithms, except for tree-based algorithms
��� | 59 | MLlib regression algorithms, except for tree-based algorithms
��� | 60 | MLlib regression algorithms, except for tree-based algorithms
��� | 61 | MLlib regression algorithms, except for tree-based algorithms
��� | 62 | MLlib regression algorithms, except for tree-based algorithms
��� | 63 | MLlib regression algorithms, except for tree-based algorithms
��� | 64 | MLlib regression algorithms, except for tree-based algorithms
��� | 65 | MLlib regression algorithms, except for tree-based algorithms
��� | 66 | MLlib regression algorithms, except for tree-based algorithms
��� | 67 | MLlib regression algorithms, except for tree-based algorithms
��� | 68 | MLlib regression algorithms, except for tree-based algorithms
��� | 69 | MLlib regression algorithms, except for tree-based algorithms
��� | 70 | MLlib regression algorithms, except for tree-based algorithms
��� | 71 | MLlib regression algorithms, except for tree-based algorithms
��� | 72 | MLlib regression algorithms, except for tree-based algorithms
��� | 73 | MLlib regression algorithms, except for tree-based algorithms
��� | 74 | MLlib regression algorithms, except for tree-based algorithms
��� | 75 | MLlib regression algorithms, except for tree-based algorithms
��� | 76 | MLlib regression algorithms, except for tree-based algorithms
��� | 77 | MLlib regression algorithms, except for tree-based algorithms
��� | 78 | MLlib regression algorithms, except for tree-based algorithms
��� | 79 | MLlib regression algorithms, except for tree-based algorithms
��� | 80 | MLlib regression algorithms, except for tree-based algorithms
��� | 81 | MLlib regression algorithms, except for tree-based algorithms
��� | 82 | MLlib regression algorithms, except for tree-based algorithms
��� | 83 | MLlib regression algorithms, except for tree-based algorithms
��� | 84 | MLlib regression algorithms, except for tree-based algorithms
��� | 85 | MLlib regression algorithms, except for tree-based algorithms
��� | 86 | MLlib regression algorithms, except for tree-based algorithms
��� | 87 | MLlib regression algorithms, except for tree-based algorithms
��� | 88 | MLlib regression algorithms, except for tree-based algorithms
��� | 89 | MLlib regression algorithms, except for tree-based algorithms
��� | 90 | MLlib regression algorithms, except for tree-based algorithms
��� | 91 | MLlib regression algorithms, except for tree-based algorithms
��� | 92 | MLlib regression algorithms, except for tree-based algorithms
��� | 93 | MLlib regression algorithms, except for tree-based algorithms
��� | 94 | MLlib regression algorithms, except for tree-based algorithms
��� | 95 | MLlib regression algorithms, except for tree-based algorithms
��� | 96 | MLlib regression algorithms, except for tree-based algorithms
��� | 97 | MLlib regression algorithms, except for tree-based algorithms
��� | 98 | MLlib regression algorithms, except for tree-based algorithms
��� | 99 | MLlib regression algorithms, except for tree-based algorithms
��� | 100 | MLlib regression algorithms, except for tree-based algorithms
��� | 101 | MLlib regression algorithms, except for tree-based algorithms
��� | 102 | MLlib regression algorithms, except for tree-based algorithms
��� | 103 | MLlib regression algorithms, except for tree-based algorithms
��� | 104 | MLlib regression algorithms, except for tree-based algorithms
��� | 105 | MLlib regression algorithms, except for tree-based algorithms
��� | 106 | MLlib regression algorithms, except for tree-based algorithms
��� | 107 | MLlib regression algorithms, except for tree-based algorithms
��� | 108 | MLlib regression algorithms, except for tree-based algorithms
��� | 109 | MLlib regression algorithms, except for tree-based algorithms
��� | 110 | MLlib regression algorithms, except for tree-based algorithms
��� | 111 | MLlib regression algorithms, except for tree-based algorithms
��� | 112 | MLlib regression algorithms, except for tree-based algorithms
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��� | 136 | MLlib regression algorithms, except for tree-based algorithms [105.4 s]
��� | 0 | MLlib statistics algorithms
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��� | 0 | MLlib tree-based algorithms
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��� | 94 | MLlib tree-based algorithms [73.3 s]
��� | 0 | parallelize() and collect()
��� | 1 | parallelize() and collect()
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��� | 0 | basic RDD functions
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��� | 428 | basic RDD functions [45.5 s]
��� | 0 | SerDe functionality
��� | 1 | SerDe functionality
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��� | 39 | SerDe functionality [2.5 s]
��� | 0 | partitionBy, groupByKey, reduceByKey etc.
��� | 1 | partitionBy, groupByKey, reduceByKey etc.
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��� | 20 | partitionBy, groupByKey, reduceByKey etc. [7.7 s]
��� | 0 | functions in sparkR.R
��� | 1 | functions in sparkR.R
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��� | 0 | SparkSQL Arrow optimization
��� | 0 1 | SparkSQL Arrow optimization
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��� | 0 10 | SparkSQL Arrow optimization
��� | 0 10 | SparkSQL Arrow optimization [0.2 s]
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test_sparkSQL_arrow.R:25: skip: createDataFrame/collect Arrow optimization
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test_sparkSQL_arrow.R:48: skip: createDataFrame/collect Arrow optimization - many partitions (partition order test)
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test_sparkSQL_arrow.R:64: skip: createDataFrame/collect Arrow optimization - type specification
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test_sparkSQL_arrow.R:94: skip: dapply() Arrow optimization
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test_sparkSQL_arrow.R:134: skip: dapply() Arrow optimization - type specification
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test_sparkSQL_arrow.R:169: skip: dapply() Arrow optimization - type specification (date and timestamp)
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test_sparkSQL_arrow.R:188: skip: gapply() Arrow optimization
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test_sparkSQL_arrow.R:237: skip: gapply() Arrow optimization - type specification
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test_sparkSQL_arrow.R:276: skip: gapply() Arrow optimization - type specification (date and timestamp)
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test_sparkSQL_arrow.R:297: skip: Arrow optimization - unsupported types
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��� | 0 | test show SparkDataFrame when eager execution is enabled.
��� | 1 | test show SparkDataFrame when eager execution is enabled.
��� | 2 | test show SparkDataFrame when eager execution is enabled.
��� | 3 | test show SparkDataFrame when eager execution is enabled.
��� | 4 | test show SparkDataFrame when eager execution is enabled.
��� | 5 | test show SparkDataFrame when eager execution is enabled.
��� | 6 | test show SparkDataFrame when eager execution is enabled.
��� | 6 | test show SparkDataFrame when eager execution is enabled. [1.0 s]
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��� | 1176 2 | SparkSQL functions
��� | 1177 2 | SparkSQL functions
��� | 1177 2 | SparkSQL functions [244.3 s]
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test_sparkSQL.R:508: warning: SPARK-17811: can create DataFrame containing NA as date and time
Your system is mis-configured: ���/etc/localtime��� is not a symlink
test_sparkSQL.R:508: warning: SPARK-17811: can create DataFrame containing NA as date and time
It is strongly recommended to set envionment variable TZ to ���America/Los_Angeles��� (or equivalent)
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��� | 0 | Structured Streaming
��� | 1 | Structured Streaming
��� | 2 | Structured Streaming
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��� | 39 | Structured Streaming
��� | 40 | Structured Streaming
��� | 41 | Structured Streaming
��� | 42 | Structured Streaming
��� | 42 | Structured Streaming [90.1 s]
��� | 0 | tests RDD function take()
��� | 1 | tests RDD function take()
��� | 2 | tests RDD function take()
��� | 3 | tests RDD function take()
��� | 4 | tests RDD function take()
��� | 5 | tests RDD function take()
��� | 6 | tests RDD function take()
��� | 7 | tests RDD function take()
��� | 8 | tests RDD function take()
��� | 9 | tests RDD function take()
��� | 10 | tests RDD function take()
��� | 11 | tests RDD function take()
��� | 12 | tests RDD function take()
��� | 13 | tests RDD function take()
��� | 14 | tests RDD function take()
��� | 15 | tests RDD function take()
��� | 16 | tests RDD function take()
��� | 16 | tests RDD function take() [0.9 s]
��� | 0 | the textFile() function
��� | 1 | the textFile() function
��� | 2 | the textFile() function
��� | 3 | the textFile() function
��� | 4 | the textFile() function
��� | 5 | the textFile() function
��� | 6 | the textFile() function
��� | 7 | the textFile() function
��� | 8 | the textFile() function
��� | 9 | the textFile() function
��� | 10 | the textFile() function
��� | 11 | the textFile() function
��� | 12 | the textFile() function
��� | 13 | the textFile() function
��� | 14 | the textFile() function
��� | 14 | the textFile() function [4.3 s]
��� | 0 | functions in utils.R
��� | 1 | functions in utils.R
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��� | 3 | functions in utils.R
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��� | 27 | functions in utils.R
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��� | 38 | functions in utils.R
��� | 39 | functions in utils.R
��� | 40 | functions in utils.R
��� | 41 | functions in utils.R
��� | 42 | functions in utils.R
��� | 43 | functions in utils.R
��� | 44 | functions in utils.R
��� | 45 | functions in utils.R
��� | 46 | functions in utils.R
��� | 46 | functions in utils.R [0.8 s]
��� | 0 | Windows-specific tests
��� | 0 1 | Windows-specific tests
��� | 0 1 | Windows-specific tests
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test_Windows.R:22: skip: sparkJars tag in SparkContext
This test is only for Windows, skipped
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������ Results ���������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������
Duration: 731.7 s
OK: 2290
Failed: 0
Warnings: 2
Skipped: 11
Using R_SCRIPT_PATH = /usr/bin
++++ dirname /home/jenkins/workspace/NewSparkPullRequestBuilder/R/install-dev.sh
+++ cd /home/jenkins/workspace/NewSparkPullRequestBuilder/R
+++ pwd
++ FWDIR=/home/jenkins/workspace/NewSparkPullRequestBuilder/R
++ LIB_DIR=/home/jenkins/workspace/NewSparkPullRequestBuilder/R/lib
++ mkdir -p /home/jenkins/workspace/NewSparkPullRequestBuilder/R/lib
++ pushd /home/jenkins/workspace/NewSparkPullRequestBuilder/R
++ . /home/jenkins/workspace/NewSparkPullRequestBuilder/R/find-r.sh
+++ '[' -z /usr/bin ']'
++ . /home/jenkins/workspace/NewSparkPullRequestBuilder/R/create-rd.sh
+++ set -o pipefail
+++ set -e
+++++ dirname /home/jenkins/workspace/NewSparkPullRequestBuilder/R/create-rd.sh
++++ cd /home/jenkins/workspace/NewSparkPullRequestBuilder/R
++++ pwd
+++ FWDIR=/home/jenkins/workspace/NewSparkPullRequestBuilder/R
+++ pushd /home/jenkins/workspace/NewSparkPullRequestBuilder/R
+++ . /home/jenkins/workspace/NewSparkPullRequestBuilder/R/find-r.sh
++++ '[' -z /usr/bin ']'
+++ /usr/bin/Rscript -e ' if(requireNamespace("devtools", quietly=TRUE)) { setwd("/home/jenkins/workspace/NewSparkPullRequestBuilder/R"); devtools::document(pkg="./pkg", roclets="rd") }'
Updating SparkR documentation
Loading SparkR
Creating a new generic function for ���as.data.frame��� in package ���SparkR���
Creating a new generic function for ���colnames��� in package ���SparkR���
Creating a new generic function for ���colnames<-��� in package ���SparkR���
Creating a new generic function for ���cov��� in package ���SparkR���
Creating a new generic function for ���drop��� in package ���SparkR���
Creating a new generic function for ���na.omit��� in package ���SparkR���
Creating a new generic function for ���filter��� in package ���SparkR���
Creating a new generic function for ���intersect��� in package ���SparkR���
Creating a new generic function for ���sample��� in package ���SparkR���
Creating a new generic function for ���transform��� in package ���SparkR���
Creating a new generic function for ���subset��� in package ���SparkR���
Creating a new generic function for ���summary��� in package ���SparkR���
Creating a new generic function for ���union��� in package ���SparkR���
Creating a new generic function for ���endsWith��� in package ���SparkR���
Creating a new generic function for ���startsWith��� in package ���SparkR���
Creating a new generic function for ���lag��� in package ���SparkR���
Creating a new generic function for ���rank��� in package ���SparkR���
Creating a new generic function for ���sd��� in package ���SparkR���
Creating a new generic function for ���var��� in package ���SparkR���
Creating a new generic function for ���window��� in package ���SparkR���
Creating a new generic function for ���predict��� in package ���SparkR���
Creating a new generic function for ���rbind��� in package ���SparkR���
Creating a generic function for ���substr��� from package ���base��� in package ���SparkR���
Creating a generic function for ���%in%��� from package ���base��� in package ���SparkR���
Creating a generic function for ���lapply��� from package ���base��� in package ���SparkR���
Creating a generic function for ���Filter��� from package ���base��� in package ���SparkR���
Creating a generic function for ���nrow��� from package ���base��� in package ���SparkR���
Creating a generic function for ���ncol��� from package ���base��� in package ���SparkR���
Creating a generic function for ���factorial��� from package ���base��� in package ���SparkR���
Creating a generic function for ���atan2��� from package ���base��� in package ���SparkR���
Creating a generic function for ���ifelse��� from package ���base��� in package ���SparkR���
++ /usr/bin/R CMD INSTALL --library=/home/jenkins/workspace/NewSparkPullRequestBuilder/R/lib /home/jenkins/workspace/NewSparkPullRequestBuilder/R/pkg/
* installing *source* package ���SparkR��� ...
** R
** inst
** byte-compile and prepare package for lazy loading
Creating a new generic function for ���as.data.frame��� in package ���SparkR���
Creating a new generic function for ���colnames��� in package ���SparkR���
Creating a new generic function for ���colnames<-��� in package ���SparkR���
Creating a new generic function for ���cov��� in package ���SparkR���
Creating a new generic function for ���drop��� in package ���SparkR���
Creating a new generic function for ���na.omit��� in package ���SparkR���
Creating a new generic function for ���filter��� in package ���SparkR���
Creating a new generic function for ���intersect��� in package ���SparkR���
Creating a new generic function for ���sample��� in package ���SparkR���
Creating a new generic function for ���transform��� in package ���SparkR���
Creating a new generic function for ���subset��� in package ���SparkR���
Creating a new generic function for ���summary��� in package ���SparkR���
Creating a new generic function for ���union��� in package ���SparkR���
Creating a new generic function for ���endsWith��� in package ���SparkR���
Creating a new generic function for ���startsWith��� in package ���SparkR���
Creating a new generic function for ���lag��� in package ���SparkR���
Creating a new generic function for ���rank��� in package ���SparkR���
Creating a new generic function for ���sd��� in package ���SparkR���
Creating a new generic function for ���var��� in package ���SparkR���
Creating a new generic function for ���window��� in package ���SparkR���
Creating a new generic function for ���predict��� in package ���SparkR���
Creating a new generic function for ���rbind��� in package ���SparkR���
Creating a generic function for ���substr��� from package ���base��� in package ���SparkR���
Creating a generic function for ���%in%��� from package ���base��� in package ���SparkR���
Creating a generic function for ���lapply��� from package ���base��� in package ���SparkR���
Creating a generic function for ���Filter��� from package ���base��� in package ���SparkR���
Creating a generic function for ���nrow��� from package ���base��� in package ���SparkR���
Creating a generic function for ���ncol��� from package ���base��� in package ���SparkR���
Creating a generic function for ���factorial��� from package ���base��� in package ���SparkR���
Creating a generic function for ���atan2��� from package ���base��� in package ���SparkR���
Creating a generic function for ���ifelse��� from package ���base��� in package ���SparkR���
** help
*** installing help indices
converting help for package ���SparkR���
finding HTML links ... done
AFTSurvivalRegressionModel-class html
ALSModel-class html
BisectingKMeansModel-class html
DecisionTreeClassificationModel-class html
DecisionTreeRegressionModel-class html
FMClassificationModel-class html
FMRegressionModel-class html
FPGrowthModel-class html
GBTClassificationModel-class html
GBTRegressionModel-class html
GaussianMixtureModel-class html
GeneralizedLinearRegressionModel-class
html
GroupedData html
IsotonicRegressionModel-class html
KMeansModel-class html
KSTest-class html
LDAModel-class html
LinearRegressionModel-class html
LinearSVCModel-class html
LogisticRegressionModel-class html
MultilayerPerceptronClassificationModel-class
html
NaiveBayesModel-class html
PowerIterationClustering-class html
PrefixSpan-class html
RandomForestClassificationModel-class html
RandomForestRegressionModel-class html
SparkDataFrame html
StreamingQuery html
WindowSpec html
alias html
approxQuantile html
arrange html
as.data.frame html
attach html
avg html
awaitTermination html
between html
broadcast html
cache html
cacheTable html
cancelJobGroup html
cast html
checkpoint html
clearCache html
clearJobGroup html
coalesce html
collect html
coltypes html
column html
column_aggregate_functions html
column_collection_functions html
column_datetime_diff_functions html
column_datetime_functions html
column_math_functions html
column_misc_functions html
column_nonaggregate_functions html
column_string_functions html
column_window_functions html
columnfunctions html
columns html
corr html
count html
cov html
createDataFrame html
createExternalTable-deprecated html
createOrReplaceTempView html
createTable html
create_lambda html
crossJoin html
crosstab html
cube html
currentDatabase html
dapply html
dapplyCollect html
describe html
dim html
distinct html
drop html
dropDuplicates html
dropTempTable-deprecated html
dropTempView html
dtypes html
endsWith html
eq_null_safe html
except html
exceptAll html
explain html
filter html
first html
fitted html
freqItems html
gapply html
gapplyCollect html
getLocalProperty html
getNumPartitions html
glm html
groupBy html
hashCode html
head html
hint html
histogram html
insertInto html
install.spark html
intersect html
intersectAll html
invoke_higher_order_function html
isActive html
isLocal html
isStreaming html
join html
last html
lastProgress html
limit html
listColumns html
listDatabases html
listFunctions html
listTables html
localCheckpoint html
match html
merge html
mutate html
nafunctions html
ncol html
not html
nrow html
orderBy html
otherwise html
over html
partitionBy html
persist html
pivot html
predict html
print.jobj html
print.structField html
print.structType html
printSchema html
queryName html
randomSplit html
rangeBetween html
rbind html
read.df html
read.jdbc html
read.json html
read.ml html
read.orc html
read.parquet html
read.stream html
read.text html
recoverPartitions html
refreshByPath html
refreshTable html
registerTempTable-deprecated html
rename html
repartition html
repartitionByRange html
rollup html
rowsBetween html
sample html
sampleBy html
saveAsTable html
schema html
select html
selectExpr html
setCheckpointDir html
setCurrentDatabase html
setJobDescription html
setJobGroup html
setLocalProperty html
setLogLevel html
show html
showDF html
spark.addFile html
spark.als html
spark.bisectingKmeans html
spark.decisionTree html
spark.fmClassifier html
spark.fmRegressor html
spark.fpGrowth html
spark.gaussianMixture html
spark.gbt html
spark.getSparkFiles html
spark.getSparkFilesRootDirectory html
spark.glm html
spark.isoreg html
spark.kmeans html
spark.kstest html
spark.lapply html
spark.lda html
spark.lm html
spark.logit html
spark.mlp html
spark.naiveBayes html
spark.powerIterationClustering html
spark.prefixSpan html
spark.randomForest html
spark.survreg html
spark.svmLinear html
sparkR.callJMethod html
sparkR.callJStatic html
sparkR.conf html
sparkR.init-deprecated html
sparkR.newJObject html
sparkR.session html
sparkR.session.stop html
sparkR.uiWebUrl html
sparkR.version html
sparkRHive.init-deprecated html
sparkRSQL.init-deprecated html
sql html
startsWith html
status html
stopQuery html
storageLevel html
str html
structField html
structType html
subset html
substr html
summarize html
summary html
tableNames html
tableToDF html
tables html
take html
toJSON html
uncacheTable html
union html
unionAll html
unionByName html
unpersist html
unresolved_named_lambda_var html
windowOrderBy html
windowPartitionBy html
with html
withColumn html
withWatermark html
write.df html
write.jdbc html
write.json html
write.ml html
write.orc html
write.parquet html
write.stream html
write.text html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (SparkR)
++ cd /home/jenkins/workspace/NewSparkPullRequestBuilder/R/lib
++ jar cfM /home/jenkins/workspace/NewSparkPullRequestBuilder/R/lib/sparkr.zip SparkR
++ popd
++ cd /home/jenkins/workspace/NewSparkPullRequestBuilder/R/..
++ pwd
+ SPARK_HOME=/home/jenkins/workspace/NewSparkPullRequestBuilder
+ . /home/jenkins/workspace/NewSparkPullRequestBuilder/bin/load-spark-env.sh
++ '[' -z /home/jenkins/workspace/NewSparkPullRequestBuilder ']'
++ SPARK_ENV_SH=spark-env.sh
++ '[' -z '' ']'
++ export SPARK_ENV_LOADED=1
++ SPARK_ENV_LOADED=1
++ export SPARK_CONF_DIR=/home/jenkins/workspace/NewSparkPullRequestBuilder/conf
++ SPARK_CONF_DIR=/home/jenkins/workspace/NewSparkPullRequestBuilder/conf
++ SPARK_ENV_SH=/home/jenkins/workspace/NewSparkPullRequestBuilder/conf/spark-env.sh
++ [[ -f /home/jenkins/workspace/NewSparkPullRequestBuilder/conf/spark-env.sh ]]
++ export SPARK_SCALA_VERSION=2.12
++ SPARK_SCALA_VERSION=2.12
+ '[' -f /home/jenkins/workspace/NewSparkPullRequestBuilder/RELEASE ']'
+ SPARK_JARS_DIR=/home/jenkins/workspace/NewSparkPullRequestBuilder/assembly/target/scala-2.12/jars
+ '[' -d /home/jenkins/workspace/NewSparkPullRequestBuilder/assembly/target/scala-2.12/jars ']'
+ SPARK_HOME=/home/jenkins/workspace/NewSparkPullRequestBuilder
+ /usr/bin/R CMD build /home/jenkins/workspace/NewSparkPullRequestBuilder/R/pkg
* checking for file ���/home/jenkins/workspace/NewSparkPullRequestBuilder/R/pkg/DESCRIPTION��� ... OK
* preparing ���SparkR���:
* checking DESCRIPTION meta-information ... OK
* installing the package to build vignettes
* creating vignettes ... OK
* checking for LF line-endings in source and make files and shell scripts
* checking for empty or unneeded directories
* building ���SparkR_3.1.0.tar.gz���
+ find pkg/vignettes/. -not -name . -not -name '*.Rmd' -not -name '*.md' -not -name '*.pdf' -not -name '*.html' -delete
++ grep Version /home/jenkins/workspace/NewSparkPullRequestBuilder/R/pkg/DESCRIPTION
++ awk '{print $NF}'
+ VERSION=3.1.0
+ CRAN_CHECK_OPTIONS=--as-cran
+ '[' -n 1 ']'
+ CRAN_CHECK_OPTIONS='--as-cran --no-tests'
+ '[' -n 1 ']'
+ CRAN_CHECK_OPTIONS='--as-cran --no-tests --no-manual --no-vignettes'
+ echo 'Running CRAN check with --as-cran --no-tests --no-manual --no-vignettes options'
Running CRAN check with --as-cran --no-tests --no-manual --no-vignettes options
+ export _R_CHECK_FORCE_SUGGESTS_=FALSE
+ _R_CHECK_FORCE_SUGGESTS_=FALSE
+ '[' -n 1 ']'
+ '[' -n 1 ']'
+ /usr/bin/R CMD check --as-cran --no-tests --no-manual --no-vignettes SparkR_3.1.0.tar.gz
* using log directory ���/home/jenkins/workspace/NewSparkPullRequestBuilder/R/SparkR.Rcheck���
* using R version 3.5.2 (2018-12-20)
* using platform: x86_64-redhat-linux-gnu (64-bit)
* using session charset: UTF-8
* using options ���--no-tests --no-manual --no-vignettes --as-cran���
* checking for file ���SparkR/DESCRIPTION��� ... OK
* checking extension type ... Package
* this is package ���SparkR��� version ���3.1.0���
* package encoding: UTF-8
* checking CRAN incoming feasibility ...[error] running /home/jenkins/workspace/NewSparkPullRequestBuilder/R/run-tests.sh ; process was terminated by signal 9
Attempting to post to Github...
> Post successful.
Build step 'Execute shell' marked build as failure
Archiving artifacts
Recording test results
Finished: FAILURE
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