Saisai Shao created SPARK-23844:
-----------------------------------
Summary: Socket Stream recovering from checkpoint will throw
exception
Key: SPARK-23844
URL: https://issues.apache.org/jira/browse/SPARK-23844
Project: Spark
Issue Type: Bug
Components: Structured Streaming
Affects Versions: 2.4.0
Reporter: Saisai Shao
When we specified checkpoint location as well as using socket streaming, it
will throw exception after rerun:
{noformat}
18/04/02 14:11:28 ERROR MicroBatchExecution: Query test [id =
c5ca82b2-550b-4c3d-9127-869f1aeae477, runId =
552d5bd4-a7e7-44e5-a85a-2f04f666ff6a] terminated with error
java.lang.RuntimeException: Offsets committed out of order: 0 followed by -1
at scala.sys.package$.error(package.scala:27)
at
org.apache.spark.sql.execution.streaming.sources.TextSocketMicroBatchReader.commit(socket.scala:196)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1$$anonfun$apply$mcV$sp$5.apply(MicroBatchExecution.scala:373)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1$$anonfun$apply$mcV$sp$5.apply(MicroBatchExecution.scala:370)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at
org.apache.spark.sql.execution.streaming.StreamProgress.foreach(StreamProgress.scala:25)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1.apply$mcV$sp(MicroBatchExecution.scala:370)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1.apply(MicroBatchExecution.scala:353)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1.apply(MicroBatchExecution.scala:353)
at
org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:271)
at
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution.org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch(MicroBatchExecution.scala:353)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(MicroBatchExecution.scala:142)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:135)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:135)
at
org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:271)
at
org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:135)
at
org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
at
org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:131)
at
org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
at
org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189){noformat}
Basically it means that {{TextSocketMicroBatchReader}} is honoring the offsets
recovered from checkpoint, this is not correct for socket source, as it doesn't
support recovering from checkpoint. Even though the offset is recovered, the
real data is still unmatched from this offset.
To reproduce this issue,
{code:java}
val socket = spark.readStream.format("socket").options(Map("host" ->
"localhost", "port" -> "9999")).load
spark.conf.set("spark.sql.streaming.checkpointLocation", "./checkpoint")
socket.writeStream.format("parquet").option("path",
"./result").queryName("test").start
{code}
This will be failed in the second run.
Though this source is not supported from in production envs, I think still we
should make sure it can be worked in test env without throwing runtime
exception.
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