Lu Niu created FLINK-16931: ------------------------------ Summary: Large _metadata file lead to JobManager not responding when restart Key: FLINK-16931 URL: https://issues.apache.org/jira/browse/FLINK-16931 Project: Flink Issue Type: Bug Reporter: Lu Niu
When _metadata file is big, JobManager could never recover from checkpoint. It fall into a loop that fetch checkpoint -> JM timeout -> restart). Here is related log: 2020-04-01 17:08:25,689 INFO org.apache.flink.runtime.checkpoint.ZooKeeperCompletedCheckpointStore - Recovering checkpoints from ZooKeeper. 2020-04-01 17:08:25,698 INFO org.apache.flink.runtime.checkpoint.ZooKeeperCompletedCheckpointStore - Found 3 checkpoints in ZooKeeper. 2020-04-01 17:08:25,698 INFO org.apache.flink.runtime.checkpoint.ZooKeeperCompletedCheckpointStore - Trying to fetch 3 checkpoints from storage. 2020-04-01 17:08:25,698 INFO org.apache.flink.runtime.checkpoint.ZooKeeperCompletedCheckpointStore - Trying to retrieve checkpoint 50. 2020-04-01 17:08:48,589 INFO org.apache.flink.runtime.checkpoint.ZooKeeperCompletedCheckpointStore - Trying to retrieve checkpoint 51. 2020-04-01 17:09:12,775 INFO org.apache.flink.yarn.YarnResourceManager - The heartbeat of JobManager with id 02500708baf0bb976891c391afd3d7d5 timed out. Digging into the code, looks like ExecutionGraph::restart runs in JobMaster main thread and finally calls ZooKeeperCompletedCheckpointStore::retrieveCompletedCheckpoint which download file form DFS. The main thread is basically blocked for a while because of this. One possible solution is to making the downloading part async. More things might need to consider as the original change tries to make it single-threaded. [https://github.com/apache/flink/pull/7568] -- This message was sent by Atlassian Jira (v8.3.4#803005)