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Posted to issues@spark.apache.org by "Luke Miner (JIRA)" <ji...@apache.org> on 2016/11/10 19:27:58 UTC
[jira] [Created] (SPARK-18402) spark: SAXParseException while
writing from json to parquet on s3
Luke Miner created SPARK-18402:
----------------------------------
Summary: spark: SAXParseException while writing from json to parquet on s3
Key: SPARK-18402
URL: https://issues.apache.org/jira/browse/SPARK-18402
Project: Spark
Issue Type: Bug
Components: Spark Core, Spark Submit
Affects Versions: 2.0.1, 1.6.2
Environment: spark 2.0.1 hadoop 2.7.1
hadoop aws 2.7.1
ubuntu 14.04.5 on aws
Reporter: Luke Miner
I'm trying to read in some json, infer a schema, and write it out again as parquet to s3 (s3a). For some reason, about a third of the way through the writing portion of the run, spark always errors out with the error included below.
I can't find any obvious reasons for the issue:
- it isn't out of memory and I have tried increasing the overhead memory
- there are no long GC pauses.
- There don't seem to be any additional error messages in the logs of the individual executors.
- This does not appear to be a problem with badly formed json or corrupted files. I have unzipped and read in each file individually with no error.
The script runs fine on another set of data that I have, which is of a very similar structure, but several orders of magnitude smaller.
I am using the FileOutputCommitter. The algorithm version doesn't seem to matter.
Here's a simplified version of the script:
{code}
object Foo {
def parseJson(json: String): Option[Map[String, Any]] = {
if (json == null)
Some(Map())
else
parseOpt(json).map((j: JValue) => j.values.asInstanceOf[Map[String, Any]])
}
}
}
// read in as text and parse json using json4s
val jsonRDD: RDD[String] = sc.textFile(inputPath)
.map(row -> Foo.parseJson(row))
// infer a schema that will encapsulate the most rows in a sample of size sampleRowNum
val schema: StructType = Infer.getMostCommonSchema(sc, jsonRDD, sampleRowNum)
// get documents compatibility with schema
val jsonWithCompatibilityRDD: RDD[(String, Boolean)] = jsonRDD
.map(js => (js, Infer.getSchemaCompatibility(schema, Infer.inferSchema(js)).toBoolean))
.repartition(partitions)
val jsonCompatibleRDD: RDD[String] = jsonWithCompatibilityRDD
.filter { case (js: String, compatible: Boolean) => compatible }
.map { case (js: String, _: Boolean) => js }
// create a dataframe from documents with compatible schema
val dataFrame: DataFrame = spark.read.schema(schema).json(jsonCompatibleRDD)
{code}
It completes the earlier schema inferring steps successfully. The error itself occurs on the last line, but I suppose that could encompass at least the immediately preceding statement, if not earlier:
{code}
org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:261)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.RuntimeException: Failed to commit task
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.org$apache$spark$sql$execution$datasources$DefaultWriterContainer$$commitTask$1(WriterContainer.scala:275)
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply$mcV$sp(WriterContainer.scala:257)
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:252)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1345)
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:258)
... 8 more
Suppressed: java.lang.NullPointerException
at org.apache.parquet.hadoop.InternalParquetRecordWriter.flushRowGroupToStore(InternalParquetRecordWriter.java:147)
at org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:113)
at org.apache.parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:112)
at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.close(ParquetFileFormat.scala:569)
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.org$apache$spark$sql$execution$datasources$DefaultWriterContainer$$abortTask$1(WriterContainer.scala:282)
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$2.apply$mcV$sp(WriterContainer.scala:258)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1354)
... 9 more
Caused by: com.amazonaws.AmazonClientException: Unable to unmarshall response (Failed to parse XML document with handler class com.amazonaws.services.s3.model.transform.XmlResponsesSaxParser$ListBucketHandler). Response Code: 200, Response Text: OK
at com.amazonaws.http.AmazonHttpClient.handleResponse(AmazonHttpClient.java:738)
at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:399)
at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:232)
at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3528)
at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3480)
at com.amazonaws.services.s3.AmazonS3Client.listObjects(AmazonS3Client.java:604)
at org.apache.hadoop.fs.s3a.S3AFileSystem.getFileStatus(S3AFileSystem.java:962)
at org.apache.hadoop.fs.s3a.S3AFileSystem.deleteUnnecessaryFakeDirectories(S3AFileSystem.java:1147)
at org.apache.hadoop.fs.s3a.S3AFileSystem.finishedWrite(S3AFileSystem.java:1136)
at org.apache.hadoop.fs.s3a.S3AOutputStream.close(S3AOutputStream.java:142)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:106)
at org.apache.parquet.hadoop.ParquetFileWriter.end(ParquetFileWriter.java:400)
at org.apache.parquet.hadoop.InternalParquetRecordWriter.close(InternalParquetRecordWriter.java:117)
at org.apache.parquet.hadoop.ParquetRecordWriter.close(ParquetRecordWriter.java:112)
at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.close(ParquetFileFormat.scala:569)
at org.apache.spark.sql.execution.datasources.DefaultWriterContainer.org$apache$spark$sql$execution$datasources$DefaultWriterContainer$$commitTask$1(WriterContainer.scala:267)
... 13 more
Caused by: com.amazonaws.AmazonClientException: Failed to parse XML document with handler class com.amazonaws.services.s3.model.transform.XmlResponsesSaxParser$ListBucketHandler
at com.amazonaws.services.s3.model.transform.XmlResponsesSaxParser.parseXmlInputStream(XmlResponsesSaxParser.java:150)
at com.amazonaws.services.s3.model.transform.XmlResponsesSaxParser.parseListBucketObjectsResponse(XmlResponsesSaxParser.java:279)
at com.amazonaws.services.s3.model.transform.Unmarshallers$ListObjectsUnmarshaller.unmarshall(Unmarshallers.java:75)
at com.amazonaws.services.s3.model.transform.Unmarshallers$ListObjectsUnmarshaller.unmarshall(Unmarshallers.java:72)
at com.amazonaws.services.s3.internal.S3XmlResponseHandler.handle(S3XmlResponseHandler.java:62)
at com.amazonaws.services.s3.internal.S3XmlResponseHandler.handle(S3XmlResponseHandler.java:31)
at com.amazonaws.http.AmazonHttpClient.handleResponse(AmazonHttpClient.java:712)
... 29 more
Caused by: org.xml.sax.SAXParseException; lineNumber: 1; columnNumber: 2; XML document structures must start and end within the same entity.
at org.apache.xerces.util.ErrorHandlerWrapper.createSAXParseException(Unknown Source)
at org.apache.xerces.util.ErrorHandlerWrapper.fatalError(Unknown Source)
at org.apache.xerces.impl.XMLErrorReporter.reportError(Unknown Source)
at org.apache.xerces.impl.XMLErrorReporter.reportError(Unknown Source)
at org.apache.xerces.impl.XMLErrorReporter.reportError(Unknown Source)
at org.apache.xerces.impl.XMLScanner.reportFatalError(Unknown Source)
at org.apache.xerces.impl.XMLDocumentFragmentScannerImpl.endEntity(Unknown Source)
at org.apache.xerces.impl.XMLDocumentScannerImpl.endEntity(Unknown Source)
at org.apache.xerces.impl.XMLEntityManager.endEntity(Unknown Source)
at org.apache.xerces.impl.XMLEntityScanner.load(Unknown Source)
at org.apache.xerces.impl.XMLEntityScanner.skipChar(Unknown Source)
at org.apache.xerces.impl.XMLDocumentScannerImpl$PrologDispatcher.dispatch(Unknown Source)
at org.apache.xerces.impl.XMLDocumentFragmentScannerImpl.scanDocument(Unknown Source)
at org.apache.xerces.parsers.XML11Configuration.parse(Unknown Source)
at org.apache.xerces.parsers.XML11Configuration.parse(Unknown Source)
at org.apache.xerces.parsers.XMLParser.parse(Unknown Source)
at org.apache.xerces.parsers.AbstractSAXParser.parse(Unknown Source)
at com.amazonaws.services.s3.model.transform.XmlResponsesSaxParser.parseXmlInputStream(XmlResponsesSaxParser.java:141)
... 35 more
{code}
Here's my conf:
{code}
spark.executor.extraJavaOptions -XX:+UseG1GC -XX:MaxPermSize=1G -XX:+HeapDumpOnOutOfMemoryError
spark.executor.memory 16G
spark.executor.uri https://s3.amazonaws.com/mesos-production/spark-distros/spark-2.0.1-bin-hadoop2.7.tgz
spark.hadoop.fs.s3a.impl org.apache.hadoop.fs.s3a.S3AFileSystem
spark.hadoop.fs.s3a.buffer.dir /raid0/spark
spark.hadoop.fs.s3n.buffer.dir /raid0/spark
spark.hadoop.fs.s3a.connection.timeout 500000
spark.hadoop.fs.s3n.multipart.uploads.enabled true
spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version 2
spark.hadoop.parquet.block.size 2147483648
spark.hadoop.parquet.enable.summary-metadata false
spark.jars.packages com.databricks:spark-avro_2.11:3.0.1,com.amazonaws:aws-java-sdk-pom:1.10.34
spark.local.dir /raid0/spark
spark.mesos.executor.memoryOverhead 4000
spark.mesos.coarse false
spark.mesos.constraints priority:1
spark.network.timeout 600
spark.rpc.message.maxSize 500
spark.speculation false
spark.sql.parquet.mergeSchema false
spark.sql.planner.externalSort true
spark.submit.deployMode client
spark.task.cpus 1
{code}
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