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https://issues.apache.org/jira/browse/PHOENIX-3540?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15753780#comment-15753780
]
Hadoop QA commented on PHOENIX-3540:
------------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12843558/PHOENIX-3540.patch
against master branch at commit 7a1f971b598ec8b45023e3866fb03009ff345315.
ATTACHMENT ID: 12843558
{color:green}+1 @author{color}. The patch does not contain any @author
tags.
{color:red}-1 tests included{color}. The patch doesn't appear to include
any new or modified tests.
Please justify why no new tests are needed for this
patch.
Also please list what manual steps were performed to
verify this patch.
{color:green}+1 javac{color}. The applied patch does not increase the
total number of javac compiler warnings.
{color:red}-1 javadoc{color}. The javadoc tool appears to have generated
44 warning messages.
{color:green}+1 release audit{color}. The applied patch does not increase
the total number of release audit warnings.
{color:green}+1 lineLengths{color}. The patch does not introduce lines
longer than 100
{color:green}+1 core tests{color}. The patch passed unit tests in .
Test results:
https://builds.apache.org/job/PreCommit-PHOENIX-Build/701//testReport/
Javadoc warnings:
https://builds.apache.org/job/PreCommit-PHOENIX-Build/701//artifact/patchprocess/patchJavadocWarnings.txt
Console output:
https://builds.apache.org/job/PreCommit-PHOENIX-Build/701//console
This message is automatically generated.
> Fix Time data type in Phoenix Spark integration
> -----------------------------------------------
>
> Key: PHOENIX-3540
> URL: https://issues.apache.org/jira/browse/PHOENIX-3540
> Project: Phoenix
> Issue Type: Bug
> Reporter: Sergio Peleato
> Assignee: Ankit Singhal
> Fix For: 4.10.0
>
> Attachments: PHOENIX-3540.patch
>
>
> {code}
> 2016-12-13 07:56:07,773|INFO|MainThread|machine.py:145 - run()|2016-12-13
> 07:56:07,773 DEBUG [main] repl.SparkILoop$SparkILoopInterpreter: Invoking:
> public static java.lang.String $line20.$eval.$print()
> 2016-12-13 07:56:07,805|INFO|MainThread|machine.py:145 -
> run()|org.apache.spark.SparkException: Job aborted due to stage failure: Task
> 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage
> 0.0 (TID 3, ctr-e77-1481596162056-0246-01-000003.hwx.site):
> java.lang.ClassCastException: java.sql.Time cannot be cast to
> java.sql.Timestamp
> 2016-12-13 07:56:07,805|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$TimestampConverter$.toCatalystImpl(CatalystTypeConverters.scala:313)
> 2016-12-13 07:56:07,805|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:102)
> 2016-12-13 07:56:07,805|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toCatalystImpl(CatalystTypeConverters.scala:260)
> 2016-12-13 07:56:07,806|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$StructConverter.toCatalystImpl(CatalystTypeConverters.scala:250)
> 2016-12-13 07:56:07,806|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$CatalystTypeConverter.toCatalyst(CatalystTypeConverters.scala:102)
> 2016-12-13 07:56:07,806|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$2.apply(CatalystTypeConverters.scala:401)
> 2016-12-13 07:56:07,806|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.sql.SQLContext$$anonfun$6.apply(SQLContext.scala:492)
> 2016-12-13 07:56:07,806|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.sql.SQLContext$$anonfun$6.apply(SQLContext.scala:492)
> 2016-12-13 07:56:07,806|INFO|MainThread|machine.py:145 - run()|at
> scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> 2016-12-13 07:56:07,806|INFO|MainThread|machine.py:145 - run()|at
> scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> 2016-12-13 07:56:07,806|INFO|MainThread|machine.py:145 - run()|at
> scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> 2016-12-13 07:56:07,807|INFO|MainThread|machine.py:145 - run()|at
> scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> 2016-12-13 07:56:07,807|INFO|MainThread|machine.py:145 - run()|at
> scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> 2016-12-13 07:56:07,807|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12$$anonfun$apply$4.apply$mcV$sp(PairRDDFunctions.scala:1112)
> 2016-12-13 07:56:07,807|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12$$anonfun$apply$4.apply(PairRDDFunctions.scala:1111)
> 2016-12-13 07:56:07,807|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12$$anonfun$apply$4.apply(PairRDDFunctions.scala:1111)
> 2016-12-13 07:56:07,807|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1277)
> 2016-12-13 07:56:07,807|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1119)
> 2016-12-13 07:56:07,808|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1091)
> 2016-12-13 07:56:07,808|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> 2016-12-13 07:56:07,808|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.scheduler.Task.run(Task.scala:89)
> 2016-12-13 07:56:07,808|INFO|MainThread|machine.py:145 - run()|at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
> 2016-12-13 07:56:07,808|INFO|MainThread|machine.py:145 - run()|at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> 2016-12-13 07:56:07,808|INFO|MainThread|machine.py:145 - run()|at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 2016-12-13 07:56:07,808|INFO|MainThread|machine.py:145 - run()|at
> java.lang.Thread.run(Thread.java:745)
> 2016-12-13 07:56:07,808|INFO|MainThread|machine.py:145 - run()|
> {code}
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