We have a Structured Streaming application running for more than 40 hours. We
are storing checkpoints in EFS. The application is failing with a checksum
error on the checkpoint (stack trace below)
Is this because the checkpoint is corrupt? Is there a way to fix this? Is this
a bug in Spark?
Caused by: org.apache.hadoop.fs.ChecksumException: Checksum error:
file:/efs/checkpoint/UPDATE_JDBC_DECISION_HISTORY/state/0/1/51274.snapshot at
35126272
at
org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.readChunk(ChecksumFileSystem.java:259)
at
org.apache.hadoop.fs.FSInputChecker.readChecksumChunk(FSInputChecker.java:276)
at org.apache.hadoop.fs.FSInputChecker.fill(FSInputChecker.java:214)
at
org.apache.hadoop.fs.FSInputChecker.read1(FSInputChecker.java:232)
at org.apache.hadoop.fs.FSInputChecker.read(FSInputChecker.java:196)
at java.io.DataInputStream.read(DataInputStream.java:149)
at
org.apache.spark.io.LZ4BlockInputStream.readFully(LZ4BlockInputStream.java:228)
at
org.apache.spark.io.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:203)
at
org.apache.spark.io.LZ4BlockInputStream.read(LZ4BlockInputStream.java:125)
at java.io.DataInputStream.read(DataInputStream.java:149)
at org.spark_project.guava.io.ByteStreams.read(ByteStreams.java:899)
at
org.spark_project.guava.io.ByteStreams.readFully(ByteStreams.java:733)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$readSnapshotFile(HDFSBackedStateStoreProvider.scala:489)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:359)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:358)
at scala.Option.getOrElse(Option.scala:121)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap(HDFSBackedStateStoreProvider.scala:358)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:360)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:359)
at scala.Option.getOrElse(Option.scala:121)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:359)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:358)
at scala.Option.getOrElse(Option.scala:121)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap(HDFSBackedStateStoreProvider.scala:358)
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