Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id D3871200BB7 for ; Tue, 25 Oct 2016 11:49:00 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id D2263160AE6; Tue, 25 Oct 2016 09:49:00 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 0148A160AF3 for ; Tue, 25 Oct 2016 11:48:59 +0200 (CEST) Received: (qmail 28059 invoked by uid 500); 25 Oct 2016 09:48:59 -0000 Mailing-List: contact issues-help@spark.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list issues@spark.apache.org Received: (qmail 28037 invoked by uid 99); 25 Oct 2016 09:48:59 -0000 Received: from arcas.apache.org (HELO arcas) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 25 Oct 2016 09:48:59 +0000 Received: from arcas.apache.org (localhost [127.0.0.1]) by arcas (Postfix) with ESMTP id CF3112C0086 for ; Tue, 25 Oct 2016 09:48:58 +0000 (UTC) Date: Tue, 25 Oct 2016 09:48:58 +0000 (UTC) From: "Hyukjin Kwon (JIRA)" To: issues@spark.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Comment Edited] (SPARK-18068) Spark SQL doesn't parse some ISO 8601 formatted dates MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Tue, 25 Oct 2016 09:49:01 -0000 [ https://issues.apache.org/jira/browse/SPARK-18068?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15604437#comment-15604437 ] Hyukjin Kwon edited comment on SPARK-18068 at 10/25/16 9:48 AM: ---------------------------------------------------------------- Oh, it is documented -only in codes- - https://github.com/apache/spark/blob/b3130c7b6a1ab4975023f08c3ab02ee8d2c7e995/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala#L287-L289 was (Author: hyukjin.kwon): Oh, it is documented only in codes - https://github.com/apache/spark/blob/b3130c7b6a1ab4975023f08c3ab02ee8d2c7e995/sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala#L287-L289 > Spark SQL doesn't parse some ISO 8601 formatted dates > ----------------------------------------------------- > > Key: SPARK-18068 > URL: https://issues.apache.org/jira/browse/SPARK-18068 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.1 > Reporter: Stephane Maarek > Priority: Minor > > The following fail, but shouldn't according to the ISO 8601 standard (seconds can be omitted). Not sure where the issue lies (probably an external library?) > {code} > scala> sc.parallelize(Seq("2016-10-07T11:15Z")) > res1: org.apache.spark.rdd.RDD[String] = ParallelCollectionRDD[0] at parallelize at :25 > scala> res1.toDF > res2: org.apache.spark.sql.DataFrame = [value: string] > scala> res2.select("value").show() > +-----------------+ > | value| > +-----------------+ > |2016-10-07T11:15Z| > +-----------------+ > scala> import org.apache.spark.sql.types._ > import org.apache.spark.sql.types._ > scala> res2.select(col("value").cast(TimestampType)).show() > +-----+ > |value| > +-----+ > | null| > +-----+ > {code} > And the schema usage errors out right away: > {code} > scala> val jsonRDD = sc.parallelize(Seq("""{"tst":"2016-10-07T11:15Z"}""")) > jsonRDD: org.apache.spark.rdd.RDD[String] = ParallelCollectionRDD[8] at parallelize at :33 > scala> val schema = StructType(StructField("tst",TimestampType,true)::Nil) > schema: org.apache.spark.sql.types.StructType = StructType(StructField(tst,TimestampType,true)) > scala> val df = spark.read.schema(schema).json(jsonRDD) > df: org.apache.spark.sql.DataFrame = [tst: timestamp] > scala> df.show() > 16/10/24 13:06:27 ERROR Executor: Exception in task 6.0 in stage 5.0 (TID 23) > java.lang.IllegalArgumentException: 2016-10-07T11:15Z > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.skip(Unknown Source) > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.parse(Unknown Source) > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl.(Unknown Source) > at org.apache.xerces.jaxp.datatype.DatatypeFactoryImpl.newXMLGregorianCalendar(Unknown Source) > at javax.xml.bind.DatatypeConverterImpl._parseDateTime(DatatypeConverterImpl.java:422) > at javax.xml.bind.DatatypeConverterImpl.parseDateTime(DatatypeConverterImpl.java:417) > at javax.xml.bind.DatatypeConverter.parseDateTime(DatatypeConverter.java:327) > at org.apache.spark.sql.catalyst.util.DateTimeUtils$.stringToTime(DateTimeUtils.scala:140) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertField(JacksonParser.scala:114) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertObject(JacksonParser.scala:215) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertField(JacksonParser.scala:182) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertRootField(JacksonParser.scala:73) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$2.apply(JacksonParser.scala:288) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$2.apply(JacksonParser.scala:285) > at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2366) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1.apply(JacksonParser.scala:285) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1.apply(JacksonParser.scala:280) > at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) > at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240) > at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) > at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) > at org.apache.spark.scheduler.Task.run(Task.scala:85) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > 16/10/24 13:06:27 WARN TaskSetManager: Lost task 6.0 in stage 5.0 (TID 23, localhost): java.lang.IllegalArgumentException: 2016-10-07T11:15Z > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.skip(Unknown Source) > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.parse(Unknown Source) > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl.(Unknown Source) > at org.apache.xerces.jaxp.datatype.DatatypeFactoryImpl.newXMLGregorianCalendar(Unknown Source) > at javax.xml.bind.DatatypeConverterImpl._parseDateTime(DatatypeConverterImpl.java:422) > at javax.xml.bind.DatatypeConverterImpl.parseDateTime(DatatypeConverterImpl.java:417) > at javax.xml.bind.DatatypeConverter.parseDateTime(DatatypeConverter.java:327) > at org.apache.spark.sql.catalyst.util.DateTimeUtils$.stringToTime(DateTimeUtils.scala:140) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertField(JacksonParser.scala:114) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertObject(JacksonParser.scala:215) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertField(JacksonParser.scala:182) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertRootField(JacksonParser.scala:73) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$2.apply(JacksonParser.scala:288) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$2.apply(JacksonParser.scala:285) > at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2366) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1.apply(JacksonParser.scala:285) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1.apply(JacksonParser.scala:280) > at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) > at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240) > at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) > at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) > at org.apache.spark.scheduler.Task.run(Task.scala:85) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > 16/10/24 13:06:27 ERROR TaskSetManager: Task 6 in stage 5.0 failed 1 times; aborting job > org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 5.0 failed 1 times, most recent failure: Lost task 6.0 in stage 5.0 (TID 23, localhost): java.lang.IllegalArgumentException: 2016-10-07T11:15Z > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.skip(Unknown Source) > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.parse(Unknown Source) > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl.(Unknown Source) > at org.apache.xerces.jaxp.datatype.DatatypeFactoryImpl.newXMLGregorianCalendar(Unknown Source) > at javax.xml.bind.DatatypeConverterImpl._parseDateTime(DatatypeConverterImpl.java:422) > at javax.xml.bind.DatatypeConverterImpl.parseDateTime(DatatypeConverterImpl.java:417) > at javax.xml.bind.DatatypeConverter.parseDateTime(DatatypeConverter.java:327) > at org.apache.spark.sql.catalyst.util.DateTimeUtils$.stringToTime(DateTimeUtils.scala:140) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertField(JacksonParser.scala:114) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertObject(JacksonParser.scala:215) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertField(JacksonParser.scala:182) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertRootField(JacksonParser.scala:73) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$2.apply(JacksonParser.scala:288) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$2.apply(JacksonParser.scala:285) > at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2366) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1.apply(JacksonParser.scala:285) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1.apply(JacksonParser.scala:280) > at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) > at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240) > at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) > at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) > at org.apache.spark.scheduler.Task.run(Task.scala:85) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Driver stacktrace: > at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1450) > at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1438) > at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1437) > at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1437) > at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) > at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) > at scala.Option.foreach(Option.scala:257) > at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811) > at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1659) > at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1618) > at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1607) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1871) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1884) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1897) > at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:347) > at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:39) > at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2183) > at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57) > at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2532) > at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2182) > at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2189) > at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1925) > at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1924) > at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2562) > at org.apache.spark.sql.Dataset.head(Dataset.scala:1924) > at org.apache.spark.sql.Dataset.take(Dataset.scala:2139) > at org.apache.spark.sql.Dataset.showString(Dataset.scala:239) > at org.apache.spark.sql.Dataset.show(Dataset.scala:526) > at org.apache.spark.sql.Dataset.show(Dataset.scala:486) > at org.apache.spark.sql.Dataset.show(Dataset.scala:495) > ... 54 elided > Caused by: java.lang.IllegalArgumentException: 2016-10-07T11:15Z > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.skip(Unknown Source) > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl$Parser.parse(Unknown Source) > at org.apache.xerces.jaxp.datatype.XMLGregorianCalendarImpl.(Unknown Source) > at org.apache.xerces.jaxp.datatype.DatatypeFactoryImpl.newXMLGregorianCalendar(Unknown Source) > at javax.xml.bind.DatatypeConverterImpl._parseDateTime(DatatypeConverterImpl.java:422) > at javax.xml.bind.DatatypeConverterImpl.parseDateTime(DatatypeConverterImpl.java:417) > at javax.xml.bind.DatatypeConverter.parseDateTime(DatatypeConverter.java:327) > at org.apache.spark.sql.catalyst.util.DateTimeUtils$.stringToTime(DateTimeUtils.scala:140) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertField(JacksonParser.scala:114) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertObject(JacksonParser.scala:215) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertField(JacksonParser.scala:182) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$.convertRootField(JacksonParser.scala:73) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$2.apply(JacksonParser.scala:288) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1$$anonfun$apply$2.apply(JacksonParser.scala:285) > at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2366) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1.apply(JacksonParser.scala:285) > at org.apache.spark.sql.execution.datasources.json.JacksonParser$$anonfun$parseJson$1.apply(JacksonParser.scala:280) > at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) > at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246) > at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240) > at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) > at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:784) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:283) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) > at org.apache.spark.scheduler.Task.run(Task.scala:85) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > {code} -- This 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