Github user harishreedharan commented on a diff in the pull request:
https://github.com/apache/spark/pull/4688#discussion_r25916219
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnSparkHadoopUtil.scala ---
@@ -82,6 +102,180 @@ class YarnSparkHadoopUtil extends SparkHadoopUtil {
if (credentials != null) credentials.getSecretKey(new Text(key)) else
null
}
+ private[spark] override def scheduleLoginFromKeytab(): Unit = {
+ val principal = System.getenv("SPARK_PRINCIPAL")
+ val keytab = System.getenv("SPARK_KEYTAB")
+ if (principal != null) {
+ val delegationTokenRenewerThread =
+ new Runnable {
+ override def run(): Unit = {
+ if (!loggedInViaKeytab) {
+ // Keytab is copied by YARN to the working directory of the
AM, so full path is
+ // not needed.
+ loggedInUGI =
UserGroupInformation.loginUserFromKeytabAndReturnUGI(
+ principal, keytab)
+ loggedInViaKeytab = true
+ }
+ val nns = getNameNodesToAccess(sparkConf)
+ val newCredentials = loggedInUGI.getCredentials
+ obtainTokensForNamenodes(nns, conf, newCredentials)
+ val remoteFs = FileSystem.get(conf)
+ val stagingDirPath =
+ new Path(remoteFs.getHomeDirectory,
System.getenv("SPARK_YARN_STAGING_DIR"))
+ val tokenPathStr = sparkConf.get("spark.yarn.credentials.file")
+ val tokenPath = new Path(stagingDirPath.toString, tokenPathStr)
+ val tempTokenPath = new Path(stagingDirPath.toString,
tokenPathStr + ".tmp")
+ val stream = remoteFs.create(tempTokenPath, true)
+ // Now write this out to HDFS
+ newCredentials.writeTokenStorageToStream(stream)
+ stream.hflush()
+ stream.close()
+ // HDFS does reads by inodes now, so just doing a rename
should be fine. But I could
+ // not find a clear explanation of when the blocks on HDFS are
deleted. Ideally, we
+ // would not need this, but just be defensive to ensure we
don't mess up the
+ // credentials. So create a file to show that we are currently
updating - if the
--- End diff --
That was what I planned to do, but I was not entirely sure about the file
listing aspect of things - whether it would affect perf. But you are right -
there are too many race conditions right now. We should avoid it.
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