HeartSaVioR commented on issue #25670: [SPARK-28869][CORE] Roll over event log files URL: https://github.com/apache/spark/pull/25670#issuecomment-527693180 > java.util.ConcurrentModificationException This is also occurring with current master branch. You can reproduce it with below query in spark-shell, with continuously pushing records to topic1 and topic2. ``` val bootstrapServers = "localhost:9092" val checkpointLocation = "/tmp/SPARK-28869-testing" val sourceTopics = "topic1" val sourceTopics2 = "topic2" val targetTopic = "topic3" val df = spark.readStream.format("kafka").option("kafka.bootstrap.servers", bootstrapServers).option("subscribe", sourceTopics).option("startingOffsets", "earliest").load() val df2 = spark.readStream.format("kafka").option("kafka.bootstrap.servers", bootstrapServers).option("subscribe", sourceTopics2).option("startingOffsets", "earliest").load() df.union(df2).writeStream.format("kafka").option("kafka.bootstrap.servers", bootstrapServers).option("checkpointLocation", checkpointLocation).option("topic", targetTopic).start() ```
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