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[SPARK-6869][PySpark] Add pyspark archives path to PYTHONPATH #5580

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[SPARK-6869][PySpark] Add pyspark archives path to PYTHONPATH #5580

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f72987c
add archives path to PYTHONPATH
lianhuiwang Apr 16, 2015
9f31dac
update code and add comments
lianhuiwang Apr 19, 2015
31e8e06
update code style
lianhuiwang Apr 19, 2015
e0179be
add zip pyspark archives in build or sparksubmit
lianhuiwang Apr 26, 2015
0d2baf7
update import paths
lianhuiwang Apr 26, 2015
9396346
put zip to make-distribution.sh
lianhuiwang Apr 27, 2015
3b1e4c8
address tgravescs's comments
lianhuiwang Apr 27, 2015
5192cca
update import path
lianhuiwang Apr 27, 2015
f11f84a
zip pyspark archives
lianhuiwang Apr 29, 2015
e6b573b
address vanzin's comments
lianhuiwang Apr 29, 2015
4b8a3ed
use pyArchivesEnvOpt
lianhuiwang Apr 29, 2015
e7bd971
address vanzin's comments
lianhuiwang Apr 30, 2015
9d87c3f
update scala style
lianhuiwang Apr 30, 2015
20402cd
use ZipEntry
lianhuiwang Apr 30, 2015
150907b
Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869
lianhuiwang May 3, 2015
f0b4ed8
Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869
lianhuiwang May 3, 2015
008850a
Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869
lianhuiwang May 3, 2015
1c8f664
Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869
lianhuiwang May 3, 2015
c2ad0f9
Update Client.scala
lianhuiwang May 3, 2015
66ffa43
Update Client.scala
lianhuiwang May 3, 2015
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8 changes: 8 additions & 0 deletions core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
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Expand Up @@ -328,6 +328,14 @@ object SparkSubmit {
}
}

// In yarn mode for a python app, if PYSPARK_ARCHIVES_PATH is in the user environment
// add pyspark archives to files that can be distributed with the job
if (args.isPython && clusterManager == YARN){
sys.env.get("PYSPARK_ARCHIVES_PATH").map { archives =>
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Does the user set this himself? What does he set it too?

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spark administrator can set pyspark's zip of local or hdfs path to PYSPARK_ARCHIVES_PATH in spark-env.sh. and then user run python application as before.

args.files = mergeFileLists(args.files, Utils.resolveURIs(archives))
}
}

// If we're running a R app, set the main class to our specific R runner
if (args.isR && deployMode == CLIENT) {
if (args.primaryResource == SPARKR_SHELL) {
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10 changes: 10 additions & 0 deletions yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
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Expand Up @@ -326,6 +326,16 @@ private[spark] class Client(
distCacheMgr.setDistFilesEnv(env)
distCacheMgr.setDistArchivesEnv(env)

// If PYSPARK_ARCHIVES_PATH is in the user environment, set PYTHONPATH to be passed
// on to the ApplicationMaster and the executors.
sys.env.get("PYSPARK_ARCHIVES_PATH").map { archives =>
// archives will be distributed to each machine's working directory, so strip the
// path prefix
val pythonPath = archives.split(",").map(p => (new Path(p)).getName).mkString(":")
env("PYTHONPATH") = pythonPath
sparkConf.setExecutorEnv("PYTHONPATH", pythonPath)
}

// Pick up any environment variables for the AM provided through spark.yarn.appMasterEnv.*
val amEnvPrefix = "spark.yarn.appMasterEnv."
sparkConf.getAll
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