spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "uwe (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-25012) dataframe creation results in matcherror
Date Fri, 03 Aug 2018 09:42:00 GMT
uwe created SPARK-25012:
---------------------------

             Summary: dataframe creation results in matcherror
                 Key: SPARK-25012
                 URL: https://issues.apache.org/jira/browse/SPARK-25012
             Project: Spark
          Issue Type: Bug
          Components: Input/Output
    Affects Versions: 2.3.1
         Environment: spark 2.3.1

mac

scala 2.11.12

 
            Reporter: uwe


hi,

 

running the attached code results in a 

 
{code:java}
scala.MatchError: 2017-02-09 00:09:27.0 (of class java.sql.Timestamp)
{code}
 # i do think this is wrong (at least i do not see the issue in my code)
 # the error is the ein 90% of the cases (it sometimes passes). that makes me think something
weird is going on

 

 
{code:java}
package misc

import java.sql.Timestamp
import java.time.LocalDateTime
import java.time.format.DateTimeFormatter

import org.apache.spark.rdd.RDD
import org.apache.spark.sql.sources._
import org.apache.spark.sql.types.{StringType, StructField, StructType, TimestampType}
import org.apache.spark.sql.{Row, SQLContext, SparkSession}

case class LogRecord(application:String, dateTime: Timestamp, component: String, level: String,
message: String)

class LogRelation(val sqlContext: SQLContext, val path: String) extends BaseRelation with
PrunedFilteredScan {
 override def schema: StructType = StructType(Seq(
 StructField("application", StringType, false),
 StructField("dateTime", TimestampType, false),
 StructField("component", StringType, false),
 StructField("level", StringType, false),
 StructField("message", StringType, false)))

 override def buildScan(requiredColumns: Array[String], filters: Array[Filter]): RDD[Row]
= {
 val str = "2017-02-09T00:09:27"
 val ts =Timestamp.valueOf(LocalDateTime.parse(str, DateTimeFormatter.ISO_LOCAL_DATE_TIME))

 val data=List(Row("app",ts,"comp","level","mess"),Row("app",ts,"comp","level","mess"))
 sqlContext.sparkContext.parallelize(data)
 }
}

class LogDataSource extends DataSourceRegister with RelationProvider {
 override def shortName(): String = "log"

 override def createRelation(sqlContext: SQLContext, parameters: Map[String, String]): BaseRelation
=
 new LogRelation(sqlContext, parameters("path"))
}

object f0 extends App {
 lazy val spark: SparkSession = SparkSession.builder().master("local").appName("spark session").getOrCreate()

 val df = spark.read.format("log").load("hdfs:///logs")
 df.show()
}
 
{code}
 

results in the following stacktrace

 
{noformat}
11:20:06 [task-result-getter-0] ERROR o.a.spark.scheduler.TaskSetManager - Task 0 in stage
0.0 failed 1 times; aborting job
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0,
localhost, executor driver): scala.MatchError: 2017-02-09 00:09:27.0 (of class java.sql.Timestamp)
 at org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:276)
 at org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:275)
 at org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:103)
 at org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$2.apply(CatalystTypeConverters.scala:379)
 at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$3.apply(ExistingRDD.scala:60)
 at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$3.apply(ExistingRDD.scala:57)
 at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
 at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
 at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
 at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
 at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:253)
 at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
 at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
 at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
 at org.apache.spark.scheduler.Task.run(Task.scala:109)
 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
 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$$failJobAndIndependentStages(DAGScheduler.scala:1602)
 at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1590)
 at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1589)
 at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
 at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
 at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1589)
 at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
 at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
 at scala.Option.foreach(Option.scala:257)
 at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
 at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1823)
 at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1772)
 at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1761)
 at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
 at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
 at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
 at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)
 at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)
 at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:363)
 at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
 at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3273)
 at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484)
 at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484)
 at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3254)
 at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
 at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3253)
 at org.apache.spark.sql.Dataset.head(Dataset.scala:2484)
 at org.apache.spark.sql.Dataset.take(Dataset.scala:2698)
 at org.apache.spark.sql.Dataset.showString(Dataset.scala:254)
 at org.apache.spark.sql.Dataset.show(Dataset.scala:723)
 at org.apache.spark.sql.Dataset.show(Dataset.scala:682)
 at org.apache.spark.sql.Dataset.show(Dataset.scala:691)
 at com.cadence.uwes.mock.bughunting.misc.f0$.delayedEndpoint$com$cadence$uwes$mock$bughunting$misc$f0$1(f1.scala:42)
 at com.cadence.uwes.mock.bughunting.misc.f0$delayedInit$body.apply(f1.scala:38)
 at scala.Function0$class.apply$mcV$sp(Function0.scala:34)
 at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
 at scala.App$$anonfun$main$1.apply(App.scala:76)
 at scala.App$$anonfun$main$1.apply(App.scala:76)
 at scala.collection.immutable.List.foreach(List.scala:392)
 at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
 at scala.App$class.main(App.scala:76)
 at com.cadence.uwes.mock.bughunting.misc.f0$.main(f1.scala:38)
 at com.cadence.uwes.mock.bughunting.misc.f0.main(f1.scala)
Caused by: scala.MatchError: 2017-02-09 00:09:27.0 (of class java.sql.Timestamp)
 at org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:276)
 at org.apache.spark.sql.catalyst.CatalystTypeConverters$StringConverter$.toCatalystImpl(CatalystTypeConverters.scala:275)
 at org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:103)
 at org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$2.apply(CatalystTypeConverters.scala:379)
 at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$3.apply(ExistingRDD.scala:60)
 at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$3.apply(ExistingRDD.scala:57)
 at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
 at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
 at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
 at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
 at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:253)
 at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
 at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
 at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:830)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
 at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
 at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
 at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
 at org.apache.spark.scheduler.Task.run(Task.scala:109)
 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
 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)
Process finished with exit code 1
{noformat}
 



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message