Ben, I have the same problem.
If you open your javascript console and watch while running any cell, you
will see several HTTP 500 errors from a Helium URL.
On Thu, Jul 7, 2016 at 4:27 PM, Benjamin Kim <bbuil...@gmail.com> wrote:
> To whom it may concern:
>
> After upgrading to Zeppelin 0.6.0, I am having a couple interpreter
> anomalies. Please look below, and I hope that there will be an easy fix for
> them.
>
> 1. Spark SQL gives me in this error in the Zeppelin Tutorial notebook, but
> the Scala code to populate and register the temp table runs fine.
>
> java.lang.NullPointerException
> at
> org.apache.spark.sql.hive.client.ClientWrapper.conf(ClientWrapper.scala:205)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.client(ClientWrapper.scala:261)
> at
> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$withHiveState$1.apply(ClientWrapper.scala:273)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.liftedTree1$1(ClientWrapper.scala:228)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.retryLocked(ClientWrapper.scala:227)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:270)
> at org.apache.spark.sql.hive.HiveQLDialect.parse(HiveContext.scala:65)
> at org.apache.spark.sql.SQLContext$$anonfun$2.apply(SQLContext.scala:211)
> at org.apache.spark.sql.SQLContext$$anonfun$2.apply(SQLContext.scala:211)
> at
> org.apache.spark.sql.execution.SparkSQLParser$$anonfun$org$apache$spark$sql$execution$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:114)
> at
> org.apache.spark.sql.execution.SparkSQLParser$$anonfun$org$apache$spark$sql$execution$SparkSQLParser$$others$1.apply(SparkSQLParser.scala:113)
> at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:136)
> at scala.util.parsing.combinator.Parsers$Success.map(Parsers.scala:135)
> at
> scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242)
> at
> scala.util.parsing.combinator.Parsers$Parser$$anonfun$map$1.apply(Parsers.scala:242)
> at scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222)
> at
> scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254)
> at
> scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1$$anonfun$apply$2.apply(Parsers.scala:254)
> at scala.util.parsing.combinator.Parsers$Failure.append(Parsers.scala:202)
> at
> scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254)
> at
> scala.util.parsing.combinator.Parsers$Parser$$anonfun$append$1.apply(Parsers.scala:254)
> at scala.util.parsing.combinator.Parsers$$anon$3.apply(Parsers.scala:222)
> at
> scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891)
> at
> scala.util.parsing.combinator.Parsers$$anon$2$$anonfun$apply$14.apply(Parsers.scala:891)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
> at scala.util.parsing.combinator.Parsers$$anon$2.apply(Parsers.scala:890)
> at
> scala.util.parsing.combinator.PackratParsers$$anon$1.apply(PackratParsers.scala:110)
> at
> org.apache.spark.sql.catalyst.AbstractSparkSQLParser.parse(AbstractSparkSQLParser.scala:34)
> at org.apache.spark.sql.SQLContext$$anonfun$1.apply(SQLContext.scala:208)
> at org.apache.spark.sql.SQLContext$$anonfun$1.apply(SQLContext.scala:208)
> at
> org.apache.spark.sql.execution.datasources.DDLParser.parse(DDLParser.scala:43)
> at org.apache.spark.sql.SQLContext.parseSql(SQLContext.scala:231)
> at org.apache.spark.sql.hive.HiveContext.parseSql(HiveContext.scala:333)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:817)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at
> org.apache.zeppelin.spark.SparkSqlInterpreter.interpret(SparkSqlInterpreter.java:117)
> at
> org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:94)
> at
> org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:341)
> at org.apache.zeppelin.scheduler.Job.run(Job.java:176)
> at
> org.apache.zeppelin.scheduler.ParallelScheduler$JobRunner.run(ParallelScheduler.java:162)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
> 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)
>
> 2. Livy Spark SQL does not work also.
>
> <console>:32: error: overloaded method value show with alternatives:
> (truncate: Boolean)Unit <and>
> (numRows: Int)Unit
> cannot be applied to (Null)
> sqlContext.sql("select age, count(1) value from bank where
> age < 30 group by age order by age").show(null)
>
> Thanks,
> Ben
>
> On Jul 6, 2016, at 12:14 AM, mina lee <mina...@apache.org> wrote:
>
> The Apache Zeppelin community is pleased to announce the availability of
> the 0.6.0 release.
>
> Zeppelin is a collaborative data analytics and visualization tool for
> distributed, general-purpose data processing system such as Apache Spark,
> Apache Flink, etc.
>
> The community put significant effort into improving Apache Zeppelin since
> the last release, focusing on having new backend support, implementing
> authentication and authorization for enterprise. More than 70+ contributors
> provided 360+ patches for new features, improvements and bug fixes. More
> than 200+ issues have been resolved.
>
> We encourage download the latest release from
> http://zeppelin.apache.org/download.html
>
> Release note is available at
> http://zeppelin.apache.org/releases/zeppelin-release-0.6.0.html
> <http://zeppelin.incubator.apache.org/releases/zeppelin-release-0.6.0.html>
>
> We welcome your help and feedback. For more information on the project and
> how to get involved, visit our website at http://zeppelin.apache.org/
>
> Thanks to all users and contributors who have helped to improve Apache
> Zeppelin.
>
> Regards,
> The Apache Zeppelin community
>
>
>
