LucaCanali commented on a change in pull request #23525: [SPARK-26595][core]
Allow credential renewal based on kerberos ticket cache.
URL: https://github.com/apache/spark/pull/23525#discussion_r248634712
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File path:
core/src/main/scala/org/apache/spark/deploy/security/HadoopDelegationTokenManager.scala
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@@ -97,28 +106,37 @@ private[spark] class HadoopDelegationTokenManager(
ThreadUtils.newDaemonSingleThreadScheduledExecutor("Credential Renewal
Thread")
val ugi = UserGroupInformation.getCurrentUser()
- if (ugi.isFromKeytab()) {
+ val tgtRenewalTask = if (ugi.isFromKeytab()) {
// In Hadoop 2.x, renewal of the keytab-based login seems to be
automatic, but in Hadoop 3.x,
// it is configurable (see
hadoop.kerberos.keytab.login.autorenewal.enabled, added in
// HADOOP-9567). This task will make sure that the user stays logged in
regardless of that
// configuration's value. Note that checkTGTAndReloginFromKeytab() is a
no-op if the TGT does
// not need to be renewed yet.
- val tgtRenewalTask = new Runnable() {
+ new Runnable() {
override def run(): Unit = {
ugi.checkTGTAndReloginFromKeytab()
Review comment:
Thanks @vanzin for the detailed explanations.
After some additional investigation I found that if I compile Spark with
Hadoop 3.1 the behavior is OK. I can still reproduce the issue I mentioned with
the standard 2.7 version in my environment. It appears that
`hadoop.kerberos.min.seconds.before.relogin` is not available in Hadoop 2.7 and
was introduced in 2.8?
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