ba0f59bfaf
### What changes were proposed in this pull request? This PR makes it do not change R version when releasing preview versions. ### Why are the changes needed? Failed to make Spark binary distribution: ``` ++ . /opt/spark-rm/output/spark-3.0.0-preview2-bin-hadoop2.7/R/find-r.sh +++ '[' -z /usr/bin ']' ++ /usr/bin/Rscript -e ' if("devtools" %in% rownames(installed.packages())) { library(devtools); devtools::document(pkg="./pkg", roclets=c("rd")) }' Loading required package: usethis Updating SparkR documentation First time using roxygen2. Upgrading automatically... Loading SparkR Invalid DESCRIPTION: Malformed package version. See section 'The DESCRIPTION file' in the 'Writing R Extensions' manual. Error: invalid version specification '3.0.0-preview2' In addition: Warning message: roxygen2 requires Encoding: UTF-8 Execution halted [ERROR] Command execution failed. org.apache.commons.exec.ExecuteException: Process exited with an error: 1 (Exit value: 1) at org.apache.commons.exec.DefaultExecutor.executeInternal (DefaultExecutor.java:404) at org.apache.commons.exec.DefaultExecutor.execute (DefaultExecutor.java:166) at org.codehaus.mojo.exec.ExecMojo.executeCommandLine (ExecMojo.java:804) at org.codehaus.mojo.exec.ExecMojo.executeCommandLine (ExecMojo.java:751) at org.codehaus.mojo.exec.ExecMojo.execute (ExecMojo.java:313) at org.apache.maven.plugin.DefaultBuildPluginManager.executeMojo (DefaultBuildPluginManager.java:137) at org.apache.maven.lifecycle.internal.MojoExecutor.execute (MojoExecutor.java:210) at org.apache.maven.lifecycle.internal.MojoExecutor.execute (MojoExecutor.java:156) at org.apache.maven.lifecycle.internal.MojoExecutor.execute (MojoExecutor.java:148) at org.apache.maven.lifecycle.internal.LifecycleModuleBuilder.buildProject (LifecycleModuleBuilder.java:117) at org.apache.maven.lifecycle.internal.LifecycleModuleBuilder.buildProject (LifecycleModuleBuilder.java:81) at org.apache.maven.lifecycle.internal.builder.singlethreaded.SingleThreadedBuilder.build (SingleThreadedBuilder.java:56) at org.apache.maven.lifecycle.internal.LifecycleStarter.execute (LifecycleStarter.java:128) at org.apache.maven.DefaultMaven.doExecute (DefaultMaven.java:305) at org.apache.maven.DefaultMaven.doExecute (DefaultMaven.java:192) at org.apache.maven.DefaultMaven.execute (DefaultMaven.java:105) at org.apache.maven.cli.MavenCli.execute (MavenCli.java:957) at org.apache.maven.cli.MavenCli.doMain (MavenCli.java:289) at org.apache.maven.cli.MavenCli.main (MavenCli.java:193) at sun.reflect.NativeMethodAccessorImpl.invoke0 (Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke (NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke (DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke (Method.java:498) at org.codehaus.plexus.classworlds.launcher.Launcher.launchEnhanced (Launcher.java:282) at org.codehaus.plexus.classworlds.launcher.Launcher.launch (Launcher.java:225) at org.codehaus.plexus.classworlds.launcher.Launcher.mainWithExitCode (Launcher.java:406) at org.codehaus.plexus.classworlds.launcher.Launcher.main (Launcher.java:347) [INFO] ------------------------------------------------------------------------ [INFO] Reactor Summary for Spark Project Parent POM 3.0.0-preview2: [INFO] [INFO] Spark Project Parent POM ........................... SUCCESS [ 18.619 s] [INFO] Spark Project Tags ................................. SUCCESS [ 13.652 s] [INFO] Spark Project Sketch ............................... SUCCESS [ 5.673 s] [INFO] Spark Project Local DB ............................. SUCCESS [ 2.081 s] [INFO] Spark Project Networking ........................... SUCCESS [ 3.509 s] [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 0.993 s] [INFO] Spark Project Unsafe ............................... SUCCESS [ 7.556 s] [INFO] Spark Project Launcher ............................. SUCCESS [ 5.522 s] [INFO] Spark Project Core ................................. FAILURE [01:06 min] [INFO] Spark Project ML Local Library ..................... SKIPPED [INFO] Spark Project GraphX ............................... SKIPPED [INFO] Spark Project Streaming ............................ SKIPPED [INFO] Spark Project Catalyst ............................. SKIPPED [INFO] Spark Project SQL .................................. SKIPPED [INFO] Spark Project ML Library ........................... SKIPPED [INFO] Spark Project Tools ................................ SKIPPED [INFO] Spark Project Hive ................................. SKIPPED [INFO] Spark Project Graph API ............................ SKIPPED [INFO] Spark Project Cypher ............................... SKIPPED [INFO] Spark Project Graph ................................ SKIPPED [INFO] Spark Project REPL ................................. SKIPPED [INFO] Spark Project Assembly ............................. SKIPPED [INFO] Kafka 0.10+ Token Provider for Streaming ........... SKIPPED [INFO] Spark Integration for Kafka 0.10 ................... SKIPPED [INFO] Kafka 0.10+ Source for Structured Streaming ........ SKIPPED [INFO] Spark Project Examples ............................. SKIPPED [INFO] Spark Integration for Kafka 0.10 Assembly .......... SKIPPED [INFO] Spark Avro ......................................... SKIPPED [INFO] ------------------------------------------------------------------------ [INFO] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] Total time: 02:04 min [INFO] Finished at: 2019-12-16T08:02:45Z [INFO] ------------------------------------------------------------------------ [ERROR] Failed to execute goal org.codehaus.mojo:exec-maven-plugin:1.6.0:exec (sparkr-pkg) on project spark-core_2.12: Command execution failed.: Process exited with an error: 1 (Exit value: 1) -> [Help 1] [ERROR] [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. [ERROR] Re-run Maven using the -X switch to enable full debug logging. [ERROR] [ERROR] For more information about the errors and possible solutions, please read the following articles: [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoExecutionException [ERROR] [ERROR] After correcting the problems, you can resume the build with the command [ERROR] mvn <args> -rf :spark-core_2.12 ``` ### Does this PR introduce any user-facing change? No. ### How was this patch tested? manual test: ```diff diff --git a/R/pkg/R/sparkR.R b/R/pkg/R/sparkR.R index cdb59093781..b648c51e010 100644 --- a/R/pkg/R/sparkR.R +++ b/R/pkg/R/sparkR.R -336,8 +336,8 sparkR.session <- function( # Check if version number of SparkSession matches version number of SparkR package jvmVersion <- callJMethod(sparkSession, "version") - # Remove -SNAPSHOT from jvm versions - jvmVersionStrip <- gsub("-SNAPSHOT", "", jvmVersion) + # Remove -preview2 from jvm versions + jvmVersionStrip <- gsub("-preview2", "", jvmVersion) rPackageVersion <- paste0(packageVersion("SparkR")) if (jvmVersionStrip != rPackageVersion) { ``` Closes #26904 from wangyum/SPARK-30265. Authored-by: Yuming Wang <yumwang@ebay.com> Signed-off-by: Yuming Wang <wgyumg@gmail.com> |
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Apache Spark
Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.
Online Documentation
You can find the latest Spark documentation, including a programming guide, on the project web page. This README file only contains basic setup instructions.
Building Spark
Spark is built using Apache Maven. To build Spark and its example programs, run:
./build/mvn -DskipTests clean package
(You do not need to do this if you downloaded a pre-built package.)
You can build Spark using more than one thread by using the -T option with Maven, see "Parallel builds in Maven 3". More detailed documentation is available from the project site, at "Building Spark".
For general development tips, including info on developing Spark using an IDE, see "Useful Developer Tools".
Interactive Scala Shell
The easiest way to start using Spark is through the Scala shell:
./bin/spark-shell
Try the following command, which should return 1,000,000,000:
scala> spark.range(1000 * 1000 * 1000).count()
Interactive Python Shell
Alternatively, if you prefer Python, you can use the Python shell:
./bin/pyspark
And run the following command, which should also return 1,000,000,000:
>>> spark.range(1000 * 1000 * 1000).count()
Example Programs
Spark also comes with several sample programs in the examples
directory.
To run one of them, use ./bin/run-example <class> [params]
. For example:
./bin/run-example SparkPi
will run the Pi example locally.
You can set the MASTER environment variable when running examples to submit
examples to a cluster. This can be a mesos:// or spark:// URL,
"yarn" to run on YARN, and "local" to run
locally with one thread, or "local[N]" to run locally with N threads. You
can also use an abbreviated class name if the class is in the examples
package. For instance:
MASTER=spark://host:7077 ./bin/run-example SparkPi
Many of the example programs print usage help if no params are given.
Running Tests
Testing first requires building Spark. Once Spark is built, tests can be run using:
./dev/run-tests
Please see the guidance on how to run tests for a module, or individual tests.
There is also a Kubernetes integration test, see resource-managers/kubernetes/integration-tests/README.md
A Note About Hadoop Versions
Spark uses the Hadoop core library to talk to HDFS and other Hadoop-supported storage systems. Because the protocols have changed in different versions of Hadoop, you must build Spark against the same version that your cluster runs.
Please refer to the build documentation at "Specifying the Hadoop Version and Enabling YARN" for detailed guidance on building for a particular distribution of Hadoop, including building for particular Hive and Hive Thriftserver distributions.
Configuration
Please refer to the Configuration Guide in the online documentation for an overview on how to configure Spark.
Contributing
Please review the Contribution to Spark guide for information on how to get started contributing to the project.