Details
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Bug
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Status: Resolved
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Major
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Resolution: Incomplete
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2.4.4
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None
Description
We are using EMR with the SQS as source of stream. However it is failing, after 4-6 hours of run, with below exception. Application shows its running but stops the processing the messages
2020-01-06 13:04:10,548 WARN [BatchedWriteAheadLog Writer] org.apache.spark.streaming.util.BatchedWriteAheadLog:BatchedWriteAheadLog Writer failed to write ArrayBuffer(Record(java.nio.HeapByteBuffer[pos=0 lim=1226 cap=1226],1578315850302,Future(<not completed>))) java.lang.UnsupportedOperationException at com.amazon.ws.emr.hadoop.fs.s3n2.S3NativeFileSystem2.append(S3NativeFileSystem2.java:150) at org.apache.hadoop.fs.FileSystem.append(FileSystem.java:1181) at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.append(EmrFileSystem.java:295) at org.apache.spark.streaming.util.HdfsUtils$.getOutputStream(HdfsUtils.scala:35) at org.apache.spark.streaming.util.FileBasedWriteAheadLogWriter.stream$lzycompute(FileBasedWriteAheadLogWriter.scala:32) at org.apache.spark.streaming.util.FileBasedWriteAheadLogWriter.stream(FileBasedWriteAheadLogWriter.scala:32) at org.apache.spark.streaming.util.FileBasedWriteAheadLogWriter.<init>(FileBasedWriteAheadLogWriter.scala:35) at org.apache.spark.streaming.util.FileBasedWriteAheadLog.getLogWriter(FileBasedWriteAheadLog.scala:229) at org.apache.spark.streaming.util.FileBasedWriteAheadLog.write(FileBasedWriteAheadLog.scala:94) at org.apache.spark.streaming.util.FileBasedWriteAheadLog.write(FileBasedWriteAheadLog.scala:50) at org.apache.spark.streaming.util.BatchedWriteAheadLog.org$apache$spark$streaming$util$BatchedWriteAheadLog$$flushRecords(BatchedWriteAheadLog.scala:175) at org.apache.spark.streaming.util.BatchedWriteAheadLog$$anon$1.run(BatchedWriteAheadLog.scala:142) at java.lang.Thread.run(Thread.java:748) 2020-01-06 13:04:10,554 WARN [wal-batching-thread-pool-0] org.apache.spark.streaming.scheduler.ReceivedBlockTracker:Exception thrown while writing record: BlockAdditionEvent(ReceivedBlockInfo(0,Some(3),None,WriteAheadLogBasedStoreResult(input-0-1578315849800,Some(3),FileBasedWriteAheadLogSegment(s3://mss-prod-us-east-1-ueba-bucket/streaming/checkpoint/receivedData/0/log-1578315850001-1578315910001,0,5175)))) to the WriteAheadLog. org.apache.spark.SparkException: Exception thrown in awaitResult: at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:226) at org.apache.spark.streaming.util.BatchedWriteAheadLog.write(BatchedWriteAheadLog.scala:84) at org.apache.spark.streaming.scheduler.ReceivedBlockTracker.writeToLog(ReceivedBlockTracker.scala:242) at org.apache.spark.streaming.scheduler.ReceivedBlockTracker.addBlock(ReceivedBlockTracker.scala:89) at org.apache.spark.streaming.scheduler.ReceiverTracker.org$apache$spark$streaming$scheduler$ReceiverTracker$$addBlock(ReceiverTracker.scala:347) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$receiveAndReply$1$$anon$1$$anonfun$run$1.apply$mcV$sp(ReceiverTracker.scala:522) at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1340) at org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverTrackerEndpoint$$anonfun$receiveAndReply$1$$anon$1.run(ReceiverTracker.scala:520) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: java.lang.UnsupportedOperationException at com.amazon.ws.emr.hadoop.fs.s3n2.S3NativeFileSystem2.append(S3NativeFileSystem2.java:150) at org.apache.hadoop.fs.FileSystem.append(FileSystem.java:1181) at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.append(EmrFileSystem.java:295) at org.apache.spark.streaming.util.HdfsUtils$.getOutputStream(HdfsUtils.scala:35) at org.apache.spark.streaming.util.FileBasedWriteAheadLogWriter.stream$lzycompute(FileBasedWriteAheadLogWriter.scala:32) at org.apache.spark.streaming.util.FileBasedWriteAheadLogWriter.stream(FileBasedWriteAheadLogWriter.scala:32) at org.apache.spark.streaming.util.FileBasedWriteAheadLogWriter.<init>(FileBasedWriteAheadLogWriter.scala:35) at org.apache.spark.streaming.util.FileBasedWriteAheadLog.getLogWriter(FileBasedWriteAheadLog.scala:229) at org.apache.spark.streaming.util.FileBasedWriteAheadLog.write(FileBasedWriteAheadLog.scala:94) at org.apache.spark.streaming.util.FileBasedWriteAheadLog.write(FileBasedWriteAheadLog.scala:50) at org.apache.spark.streaming.util.BatchedWriteAheadLog.org$apache$spark$streaming$util$BatchedWriteAheadLog$$flushRecords(BatchedWriteAheadLog.scala:175) at org.apache.spark.streaming.util.BatchedWriteAheadLog$$anon$1.run(BatchedWriteAheadLog.scala:142) ... 1 more 2020-01-06 13:04:10,568 WARN [dispatcher-event-loop-1] org.apache.spark.streaming.scheduler.ReceiverTracker:Error reported by receiver for stream 0: Error in block pushing thread - org.apache.spark.SparkException: Failed to add block to receiver tracker. at org.apache.spark.streaming.receiver.ReceiverSupervisorImpl.pushAndReportBlock(ReceiverSupervisorImpl.scala:163) at org.apache.spark.streaming.receiver.ReceiverSupervisorImpl.pushArrayBuffer(ReceiverSupervisorImpl.scala:129) at org.apache.spark.streaming.receiver.ReceiverSupervisorImpl$$anon$2.onPushBlock(ReceiverSupervisorImpl.scala:110) at org.apache.spark.streaming.receiver.BlockGenerator.pushBlock(BlockGenerator.scala:297) at org.apache.spark.streaming.receiver.BlockGenerator.org$apache$spark$streaming$receiver$BlockGenerator$$keepPushingBlocks(BlockGenerator.scala:269) at org.apache.spark.streaming.receiver.BlockGenerator$$anon$1.run(BlockGenerator.scala:110)
We have enabled the spark streaming with checkpoint using below code, we have removed the business logic in it. https://stackoverflow.com/questions/59222815/spark-streaming-sqs-with-checkpoint-enable
When I looked at the code of HdfsUtils.scala I don't see a case where it has handled the case for S3 filesystem as it do not support append
I am suggesting below change either to add
if (dfs.getScheme.toLowerCase.contains("s3")){ dfs.create(dfsPath) }
as below
def getOutputStream(path: String, conf: Configuration): FSDataOutputStream = { val dfsPath = new Path(path) val dfs = getFileSystemForPath(dfsPath, conf) // If the file exists and we have append support, append instead of creating a new file val stream: FSDataOutputStream = { if (dfs.isFile(dfsPath)) { if (dfs.getScheme.toLowerCase.contains("s3")){ dfs.create(dfsPath) } else if (conf.getBoolean("dfs.support.append", true) || conf.getBoolean("hdfs.append.support", false) || dfs.isInstanceOf[RawLocalFileSystem]) { dfs.append(dfsPath) } else { throw new IllegalStateException("File exists and there is no append support!") } } else { dfs.create(dfsPath) } } stream }
OR
Adding the check as assuming with S3 we enabled
WriteAheadLogUtils.RECEIVER_WAL_ENABLE_CONF_KEY
if (conf.getBoolean(WriteAheadLogUtils.RECEIVER_WAL_ENABLE_CONF_KEY,false)){ dfs.create(dfsPath) }