Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/22598#discussion_r231591033
--- Diff:
core/src/main/scala/org/apache/spark/deploy/security/KafkaDelegationTokenProvider.scala
---
@@ -0,0 +1,65 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
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+ * The ASF licenses this file to You under the Apache License, Version 2.0
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+
+package org.apache.spark.deploy.security
+
+import scala.reflect.runtime.universe
+import scala.util.control.NonFatal
+
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.security.Credentials
+import org.apache.hadoop.security.token.{Token, TokenIdentifier}
+
+import org.apache.spark.SparkConf
+import org.apache.spark.internal.Logging
+import org.apache.spark.internal.config.{KAFKA_BOOTSTRAP_SERVERS,
KAFKA_SECURITY_PROTOCOL}
+import org.apache.spark.util.Utils
+
+private[security] class KafkaDelegationTokenProvider
--- End diff --
> add another package from where the TokenUtil can be loaded.
Seems like what you're saying is that to support dstreams you'd have two
pretty much identical TokenUtil classes in different modules? That sounds
sub-optimal. At that point, it might be better to move the logic in that class
to core, and just go full-reflection, or even add kafka as a `provided`
dependency and mimic the Hive provider.
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