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Posted to issues@hbase.apache.org by "Hadoop QA (JIRA)" <ji...@apache.org> on 2018/11/08 05:55:00 UTC
[jira] [Commented] (HBASE-21452) Illegal character in hbase
counters group name
[ https://issues.apache.org/jira/browse/HBASE-21452?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16679319#comment-16679319 ]
Hadoop QA commented on HBASE-21452:
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| (/) *{color:green}+1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m 10s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} hbaseanti {color} | {color:green} 0m 0s{color} | {color:green} Patch does not have any anti-patterns. {color} |
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m 0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m 0s{color} | {color:green} The patch appears to include 1 new or modified test files. {color} |
|| || || || {color:brown} branch-2 Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 4m 8s{color} | {color:green} branch-2 passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m 31s{color} | {color:green} branch-2 passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m 18s{color} | {color:green} branch-2 passed {color} |
| {color:green}+1{color} | {color:green} shadedjars {color} | {color:green} 3m 29s{color} | {color:green} branch has no errors when building our shaded downstream artifacts. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 0m 35s{color} | {color:green} branch-2 passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m 15s{color} | {color:green} branch-2 passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 4m 9s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 0m 30s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 0m 30s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m 18s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m 0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} shadedjars {color} | {color:green} 3m 31s{color} | {color:green} patch has no errors when building our shaded downstream artifacts. {color} |
| {color:green}+1{color} | {color:green} hadoopcheck {color} | {color:green} 8m 27s{color} | {color:green} Patch does not cause any errors with Hadoop 2.7.4 or 3.0.0. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 0m 43s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 0m 14s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 15m 57s{color} | {color:green} hbase-mapreduce in the patch passed. {color} |
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green} 0m 14s{color} | {color:green} The patch does not generate ASF License warnings. {color} |
| {color:black}{color} | {color:black} {color} | {color:black} 43m 56s{color} | {color:black} {color} |
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|| Subsystem || Report/Notes ||
| Docker | Client=17.05.0-ce Server=17.05.0-ce Image:yetus/hbase:42ca976 |
| JIRA Issue | HBASE-21452 |
| JIRA Patch URL | https://issues.apache.org/jira/secure/attachment/12947345/HBASE-21452.branch-2.001.patch |
| Optional Tests | dupname asflicense javac javadoc unit findbugs shadedjars hadoopcheck hbaseanti checkstyle compile |
| uname | Linux 46ee46554feb 3.13.0-143-generic #192-Ubuntu SMP Tue Feb 27 10:45:36 UTC 2018 x86_64 GNU/Linux |
| Build tool | maven |
| Personality | /home/jenkins/jenkins-slave/workspace/PreCommit-HBASE-Build/component/dev-support/hbase-personality.sh |
| git revision | branch-2 / 565ea7ad00 |
| maven | version: Apache Maven 3.5.4 (1edded0938998edf8bf061f1ceb3cfdeccf443fe; 2018-06-17T18:33:14Z) |
| Default Java | 1.8.0_181 |
| findbugs | v3.1.0-RC3 |
| Test Results | https://builds.apache.org/job/PreCommit-HBASE-Build/14990/testReport/ |
| Max. process+thread count | 5094 (vs. ulimit of 10000) |
| modules | C: hbase-mapreduce U: hbase-mapreduce |
| Console output | https://builds.apache.org/job/PreCommit-HBASE-Build/14990/console |
| Powered by | Apache Yetus 0.8.0 http://yetus.apache.org |
This message was automatically generated.
> Illegal character in hbase counters group name
> ----------------------------------------------
>
> Key: HBASE-21452
> URL: https://issues.apache.org/jira/browse/HBASE-21452
> Project: HBase
> Issue Type: Bug
> Components: spark
> Reporter: stack
> Assignee: stack
> Priority: Major
> Fix For: 3.0.0, 2.2.0
>
> Attachments: HBASE-21452.branch-2.001.patch
>
>
> Messing w/ spark counting RDD rows, spark dumps out following complaint:
> {code}
> 2018-11-07 20:03:29,132 ERROR [Executor task launch worker for task 0] repl.ExecutorClassLoader: Failed to check existence of class HBase Counters_en_US on REPL class server at spark://192.168.1.139:61037/classes
> java.net.URISyntaxException: Illegal character in path at index 41: spark://192.168.1.139:61037/classes/HBase Counters_en_US.class
> at java.net.URI$Parser.fail(URI.java:2848)
> at java.net.URI$Parser.checkChars(URI.java:3021)
> at java.net.URI$Parser.parseHierarchical(URI.java:3105)
> at java.net.URI$Parser.parse(URI.java:3053)
> at java.net.URI.<init>(URI.java:588)
> at org.apache.spark.rpc.netty.NettyRpcEnv.openChannel(NettyRpcEnv.scala:328)
> at org.apache.spark.repl.ExecutorClassLoader.org$apache$spark$repl$ExecutorClassLoader$$getClassFileInputStreamFromSparkRPC(ExecutorClassLoader.scala:95)
> at org.apache.spark.repl.ExecutorClassLoader$$anonfun$1.apply(ExecutorClassLoader.scala:62)
> at org.apache.spark.repl.ExecutorClassLoader$$anonfun$1.apply(ExecutorClassLoader.scala:62)
> at org.apache.spark.repl.ExecutorClassLoader.findClassLocally(ExecutorClassLoader.scala:167)
> at org.apache.spark.repl.ExecutorClassLoader.findClass(ExecutorClassLoader.scala:85)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
> at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
> at java.util.ResourceBundle$Control.newBundle(ResourceBundle.java:2649)
> at java.util.ResourceBundle.loadBundle(ResourceBundle.java:1510)
> at java.util.ResourceBundle.findBundle(ResourceBundle.java:1474)
> at java.util.ResourceBundle.getBundleImpl(ResourceBundle.java:1370)
> at java.util.ResourceBundle.getBundle(ResourceBundle.java:1091)
> at org.apache.hadoop.mapreduce.util.ResourceBundles.getBundle(ResourceBundles.java:37)
> at org.apache.hadoop.mapreduce.util.ResourceBundles.getValue(ResourceBundles.java:56)
> at org.apache.hadoop.mapreduce.util.ResourceBundles.getCounterGroupName(ResourceBundles.java:77)
> at org.apache.hadoop.mapreduce.counters.CounterGroupFactory.newGroup(CounterGroupFactory.java:94)
> at org.apache.hadoop.mapreduce.counters.AbstractCounters.getGroup(AbstractCounters.java:226)
> at org.apache.hadoop.mapreduce.counters.AbstractCounters.findCounter(AbstractCounters.java:153)
> at org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl$DummyReporter.getCounter(TaskAttemptContextImpl.java:110)
> at org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl.getCounter(TaskAttemptContextImpl.java:76)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl.updateCounters(TableRecordReaderImpl.java:298)
> at org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl.updateCounters(TableRecordReaderImpl.java:286)
> at org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl.nextKeyValue(TableRecordReaderImpl.java:257)
> at org.apache.hadoop.hbase.mapreduce.TableRecordReader.nextKeyValue(TableRecordReader.java:133)
> at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase$1.nextKeyValue(TableInputFormatBase.java:220)
> at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:214)
> at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1837)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1168)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1168)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:109)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> {code}
> ... each time I run an rdd count.
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