stack created HBASE-21452:
-----------------------------
Summary: 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
Fix For: 3.0.0, 2.2.0
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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