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Posted to issues@spark.apache.org by "Paul Wu (JIRA)" <ji...@apache.org> on 2015/07/22 19:17:04 UTC
[jira] [Created] (SPARK-9255) Timestamp handling incorrect for
Spark 1.4.1 on Linux
Paul Wu created SPARK-9255:
------------------------------
Summary: Timestamp handling incorrect for Spark 1.4.1 on Linux
Key: SPARK-9255
URL: https://issues.apache.org/jira/browse/SPARK-9255
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.4.1
Environment: Redhat Linux, Java 8.0 and Spark 1.4.1 release.
Reporter: Paul Wu
This is a very strange case involving timestamp I can run the program on Windows using dev pom.xml (1.4.1) or 1.3.1 release downloaded from Apache without issues , but when I ran it on Spark 1.4.1 release either downloaded from Apache or the version built with scala 2.11 on redhat linux, it has the following error (the code I used is after this stack trace):
15/07/22 12:02:50 ERROR Executor 96: Exception in task 0.0 in stage 0.0 (TID 0)
java.util.concurrent.ExecutionException: scala.tools.reflect.ToolBoxError: reflective compilation has failed:
value < is not a member of TimestampType.this.InternalType
at org.spark-project.guava.util.concurrent.AbstractFuture$Sync.getValue(AbstractFuture.java:306)
at org.spark-project.guava.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:293)
at org.spark-project.guava.util.concurrent.AbstractFuture.get(AbstractFuture.java:116)
at org.spark-project.guava.util.concurrent.Uninterruptibles.getUninterruptibly(Uninterruptibles.java:135)
at org.spark-project.guava.cache.LocalCache$Segment.getAndRecordStats(LocalCache.java:2410)
at org.spark-project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2380)
at org.spark-project.guava.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)
at org.spark-project.guava.cache.LocalCache$Segment.get(LocalCache.java:2257)
at org.spark-project.guava.cache.LocalCache.get(LocalCache.java:4000)
at org.spark-project.guava.cache.LocalCache.getOrLoad(LocalCache.java:4004)
at org.spark-project.guava.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:105)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:102)
at org.apache.spark.sql.execution.SparkPlan.newMutableProjection(SparkPlan.scala:170)
at org.apache.spark.sql.execution.GeneratedAggregate$$anonfun$9.apply(GeneratedAggregate.scala:261)
at org.apache.spark.sql.execution.GeneratedAggregate$$anonfun$9.apply(GeneratedAggregate.scala:246)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:70)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: scala.tools.reflect.ToolBoxError: reflective compilation has failed:
value < is not a member of TimestampType.this.InternalType
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$ToolBoxGlobal.throwIfErrors(ToolBoxFactory.scala:316)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$ToolBoxGlobal.wrapInPackageAndCompile(ToolBoxFactory.scala:198)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$ToolBoxGlobal.compile(ToolBoxFactory.scala:252)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$$anonfun$compile$2.apply(ToolBoxFactory.scala:429)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$$anonfun$compile$2.apply(ToolBoxFactory.scala:422)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$withCompilerApi$.liftedTree2$1(ToolBoxFactory.scala:355)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$withCompilerApi$.apply(ToolBoxFactory.scala:355)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl.compile(ToolBoxFactory.scala:422)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl.eval(ToolBoxFactory.scala:444)
at org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$.create(GenerateMutableProjection.scala:74)
at org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$.create(GenerateMutableProjection.scala:26)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:92)
at org.spark-project.guava.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599)
at org.spark-project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2379)
... 25 more
15/07/22 12:02:50 ERROR TaskSetManager 75: Task 0 in stage 0.0 failed 1 times; aborting job
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.util.concurrent.ExecutionException: scala.tools.reflect.ToolBoxError: reflective compilation has failed:
value < is not a member of TimestampType.this.InternalType
at org.spark-project.guava.util.concurrent.AbstractFuture$Sync.getValue(AbstractFuture.java:306)
at org.spark-project.guava.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:293)
at org.spark-project.guava.util.concurrent.AbstractFuture.get(AbstractFuture.java:116)
at org.spark-project.guava.util.concurrent.Uninterruptibles.getUninterruptibly(Uninterruptibles.java:135)
at org.spark-project.guava.cache.LocalCache$Segment.getAndRecordStats(LocalCache.java:2410)
at org.spark-project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2380)
at org.spark-project.guava.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)
at org.spark-project.guava.cache.LocalCache$Segment.get(LocalCache.java:2257)
at org.spark-project.guava.cache.LocalCache.get(LocalCache.java:4000)
at org.spark-project.guava.cache.LocalCache.getOrLoad(LocalCache.java:4004)
at org.spark-project.guava.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:105)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:102)
at org.apache.spark.sql.execution.SparkPlan.newMutableProjection(SparkPlan.scala:170)
at org.apache.spark.sql.execution.GeneratedAggregate$$anonfun$9.apply(GeneratedAggregate.scala:261)
at org.apache.spark.sql.execution.GeneratedAggregate$$anonfun$9.apply(GeneratedAggregate.scala:246)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:686)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:70)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: scala.tools.reflect.ToolBoxError: reflective compilation has failed:
value < is not a member of TimestampType.this.InternalType
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$ToolBoxGlobal.throwIfErrors(ToolBoxFactory.scala:316)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$ToolBoxGlobal.wrapInPackageAndCompile(ToolBoxFactory.scala:198)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$ToolBoxGlobal.compile(ToolBoxFactory.scala:252)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$$anonfun$compile$2.apply(ToolBoxFactory.scala:429)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$$anonfun$compile$2.apply(ToolBoxFactory.scala:422)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$withCompilerApi$.liftedTree2$1(ToolBoxFactory.scala:355)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl$withCompilerApi$.apply(ToolBoxFactory.scala:355)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl.compile(ToolBoxFactory.scala:422)
at scala.tools.reflect.ToolBoxFactory$ToolBoxImpl.eval(ToolBoxFactory.scala:444)
at org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$.create(GenerateMutableProjection.scala:74)
at org.apache.spark.sql.catalyst.expressions.codegen.GenerateMutableProjection$.create(GenerateMutableProjection.scala:26)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:92)
at org.spark-project.guava.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599)
at org.spark-project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2379)
... 25 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1273)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1264)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1263)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1263)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1457)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1418)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
================================================
Code: TruncHour.java
/*
* To change this license header, choose License Headers in Project Properties.
* To change this template file, choose Tools | Templates
* and open the template in the editor.
*/
package zwu.spark.sample;
import java.sql.Timestamp;
import org.apache.spark.sql.api.java.UDF1;
public class TruncHour implements UDF1<Timestamp, Timestamp> {
@Override
public Timestamp call(Timestamp t1) throws Exception {
t1.setMinutes(0);
t1.setSeconds(0);
t1.setNanos(0);
return t1;
//throw new UnsupportedOperationException("Not supported yet."); //To change body of generated methods, choose Tools | Templates.
}
}
TimestampSample.java:
package zwu.spark.sample;
import java.io.Serializable;
import java.sql.Timestamp;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import org.apache.log4j.Logger;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.DataFrame;
import org.apache.spark.sql.types.DataTypes;
/**
*
* @author zw251y
*/
public class TimestampSample {
private final static Logger log = Logger.getLogger(TimestampSample.class);
public static void main(String[] args) {
SparkConf sparkConf = new SparkConf().setAppName("TimeSample");
//if (PUtil.isWindows) {
sparkConf.setMaster("local[1]");
//}
JavaSparkContext sc = new JavaSparkContext(sparkConf);
org.apache.spark.sql.hive.HiveContext sqlContext = new org.apache.spark.sql.hive.HiveContext(sc.sc());
List<TimeBean> tbList = new ArrayList<>();
TimeBean tb = new TimeBean();
tb.ts = new Timestamp(new Date().getTime());
tbList.add(tb);
JavaRDD<TimeBean> mytable = sc.parallelize(tbList);
//Apply a schema to an RDD of JavaBeans and register it as a table.
//DataFrame schemaPeople = sqlContext.applySchema(people, TimeBean.class);
DataFrame schemaPeople = sqlContext.createDataFrame(mytable, TimeBean.class);
schemaPeople.registerTempTable("timetable");
sqlContext.udf().register("truncHour", new TruncHour(), DataTypes.TimestampType);
// SQL can be run over RDDs that have been registered as tables.
//org.apache.spark.sql.types.TimestampType p = null;
//p.
String test = "select p from (SELECT min(ts) p , count(ts) from timetable group by truncHour(ts)) as mytable group by p ";
DataFrame df = sqlContext.sql(test);
df.show();
}
public static class TimeBean implements Serializable {
private String name;
private Timestamp ts;
/**
* Get the value of ts
*
* @return the value of ts
*/
public Timestamp getTs() {
return ts;
}
/**
* Set the value of ts
*
* @param d new value of ts
*/
public void setTs(Timestamp d) {
this.ts = d;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
}
}
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