Yash Sharma created SPARK-23050:
-----------------------------------
Summary: Structured Streaming with S3 file source duplicates data
because of eventual consistency.
Key: SPARK-23050
URL: https://issues.apache.org/jira/browse/SPARK-23050
Project: Spark
Issue Type: Bug
Components: Structured Streaming
Affects Versions: 2.2.0
Reporter: Yash Sharma
Spark Structured streaming with S3 file source duplicates data because of
eventual consistency.
Re producing the scenario -
- Structured streaming reading from S3 source. Writing back to S3.
- Spark tries to commitTask on completion of a task, by verifying if all the
files have been written to Filesystem. ManifestFileCommitProtocol.commitTask.
- [Eventual consistency issue] Spark finds that the file is not present and
fails the task. org.apache.spark.SparkException: Task failed while writing
rows. No such file or directory
's3://path/data/part-00256-65ae782d-e32e-48fb-8652-e1d0defc370b-c000.snappy.parquet'
- By this time S3 eventually gets the file.
- Spark reruns the task and completes the task, but gets a new file name this
time. ManifestFileCommitProtocol.newTaskTempFile.
part-00256-b62fa7a4-b7e0-43d6-8c38-9705076a7ee1-c000.snappy.parquet.
- Data duplicates in results and the same data is processed twice and written
to S3.
- There is no data duplication if spark is able to list presence of all
committed files and all tasks succeed.
Code:
{code}
query = selected_df.writeStream \
.format("parquet") \
.option("compression", "snappy") \
.option("path", "s3://path/data/") \
.option("checkpointLocation", "s3://path/checkpoint/") \
.start()
{code}
Same sized duplicate S3 Files:
{code}
$ aws s3 ls s3://path/data/ | grep part-00256
2018-01-11 03:37:00 17070
part-00256-65ae782d-e32e-48fb-8652-e1d0defc370b-c000.snappy.parquet
2018-01-11 03:37:10 17070
part-00256-b62fa7a4-b7e0-43d6-8c38-9705076a7ee1-c000.snappy.parquet
{code}
Exception on S3 listing and task failure:
{code}
[Stage 5:========================> (277 + 100) /
597]18/01/11 03:36:59 WARN TaskSetManager: Lost task 256.0 in stage 5.0 (TID
org.apache.spark.SparkException: Task failed while writing rows
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:191)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(FileFormatWriter.scala:190)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.io.FileNotFoundException: No such file or directory
's3://path/data/part-00256-65ae782d-e32e-48fb-8652-e1d0defc370b-c000.snappy.parquet'
at
com.amazon.ws.emr.hadoop.fs.s3n.S3NativeFileSystem.getFileStatus(S3NativeFileSystem.java:816)
at
com.amazon.ws.emr.hadoop.fs.EmrFileSystem.getFileStatus(EmrFileSystem.java:509)
at
org.apache.spark.sql.execution.streaming.ManifestFileCommitProtocol$$anonfun$4.apply(ManifestFileCommitProtocol.scala:109)
at
org.apache.spark.sql.execution.streaming.ManifestFileCommitProtocol$$anonfun$4.apply(ManifestFileCommitProtocol.scala:109)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at
org.apache.spark.sql.execution.streaming.ManifestFileCommitProtocol.commitTask(ManifestFileCommitProtocol.scala:109)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:260)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:256)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1375)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:261)
... 8 more
{code}
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