Hi Mina, I pulled the latest and saw the new artifacts entry section for interpreters. I like that solution better. It’s a nice addition.
Thanks, Ben > On Feb 2, 2016, at 7:36 PM, Lin, Yunfeng <yunfeng....@citi.com> wrote: > > Thanks, Mina, I confirm that the workaround works! > > -----Original Message----- > From: Mina Lee [mailto:mina...@apache.org <mailto:mina...@apache.org>] > Sent: Tuesday, February 02, 2016 6:22 PM > To: users > Cc: d...@zeppelin.incubator.apache.org > <mailto:d...@zeppelin.incubator.apache.org> > Subject: Re: csv dependencies loaded in %spark but not %sql in spark > 1.6/zeppelin 0.5.6 > > @Janathan Zeppelin community plans to release every 3 months so I expect next > release will be around end of April. > > @Lin The workaround I can think of right now is adding libraries to > ZEPPELIN_CLASSPATH in bin/interpreter.sh To do this, > 1. place all libraries you need(commons-csv-1.1.jar, spark-csv_2.10-1. > 3.0.jar, univocity-parsers-1.5.1.jar) under one specific directory. Note that > there should be only files not subdirectories. I will name it as > "/my/path/spark-csv" for the ease of explanation. > 2. open bin/interpreter.sh > 3. Add following code `addJarInDir "/mydir/path/spark-csv"` to line 130.(I > assume that you are using zeppelin-0.5.6-incubating) > 4. restart Zeppelin > > Hope this helps > > > On Tue, Feb 2, 2016 at 1:30 PM, Lin, Yunfeng <yunfeng....@citi.com> wrote: > >> Thanks! Is there a possible workaround for 0.5.6 before releasing 0.6.0? >> >> >> >> *From:* Jonathan Kelly [mailto:jonathaka...@gmail.com] >> *Sent:* Tuesday, February 02, 2016 4:19 PM >> *To:* d...@zeppelin.incubator.apache.org; users >> *Subject:* Re: csv dependencies loaded in %spark but not %sql in spark >> 1.6/zeppelin 0.5.6 >> >> >> >> Awesome, thank you! BTW, I know that the Zeppelin 0.5.6 release was >> only very recently, but do you happen to know yet when you plan on >> releasing 0.6.0? >> >> >> >> On Tue, Feb 2, 2016 at 1:07 PM mina lee <mina...@apache.org> wrote: >> >> This issue has been fixed few days ago in master branch. >> >> Here is the PR >> https://github.com/apache/incubator-zeppelin/pull/673 >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apach >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apach> >> e_incubator-2Dzeppelin_pull_673&d=BQMFaQ&c=j-EkbjBYwkAB4f8ZbVn1Fw&r=b2 >> BXWa66OlJ_NWqk5P310M6mGfus8eDC5O4J0-nePFY&m=P05kinGmpfFiWwLExz9hZO76uI >> 5rpP5SoqI8JJ2UWEY&s=hkFOUihaS8xvGHC2psZm_eTCpaIbp9JvGoR0Y6XV2wc&e=> >> >> And related issues filed in JIRA before >> https://issues.apache.org/jira/browse/ZEPPELIN-194 >> <https://issues.apache.org/jira/browse/ZEPPELIN-194> >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.or >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.or> >> g_jira_browse_ZEPPELIN-2D194&d=BQMFaQ&c=j-EkbjBYwkAB4f8ZbVn1Fw&r=b2BXW >> a66OlJ_NWqk5P310M6mGfus8eDC5O4J0-nePFY&m=P05kinGmpfFiWwLExz9hZO76uI5rp >> P5SoqI8JJ2UWEY&s=AvJcgiZOLR_OmESYH5osZSMnYd9_A6DBRo9CxjYsxuY&e=> >> https://issues.apache.org/jira/browse/ZEPPELIN-381 >> <https://issues.apache.org/jira/browse/ZEPPELIN-381> >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.or >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.or> >> g_jira_browse_ZEPPELIN-2D381&d=BQMFaQ&c=j-EkbjBYwkAB4f8ZbVn1Fw&r=b2BXW >> a66OlJ_NWqk5P310M6mGfus8eDC5O4J0-nePFY&m=P05kinGmpfFiWwLExz9hZO76uI5rp >> P5SoqI8JJ2UWEY&s=6iFF2WKrNwEJZ68upi94jfS_2wCVPZHeZE0aTzS4slc&e=> >> >> With the latest master branch, we recommend you to load dependencies >> via interpreter setting menu instead of %dep interpreter. >> >> If you want to know how to set dependencies with latest master branch, >> please check doc < >> https://zeppelin.incubator.apache.org/docs/0.6.0-incubating-SNAPSHOT/m >> <https://zeppelin.incubator.apache.org/docs/0.6.0-incubating-SNAPSHOT/m> >> anual/dependencymanagement.html >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__zeppelin.incubat >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__zeppelin.incubat> >> or.apache.org >> <http://or.apache.org/>_docs_0.6.0-2Dincubating-2DSNAPSHOT_manual_dependencymana >> gement.html&d=BQMFaQ&c=j-EkbjBYwkAB4f8ZbVn1Fw&r=b2BXWa66OlJ_NWqk5P310M >> 6mGfus8eDC5O4J0-nePFY&m=P05kinGmpfFiWwLExz9hZO76uI5rpP5SoqI8JJ2UWEY&s= >> 8vqDxxyOWAchE7NS0L2BLpav1-tIPMXDwE0ndsqln-E&e=> >>> >> and >> let me know if it works. >> >> Cheers, >> Mina >> >> On Tue, Feb 2, 2016 at 12:50 PM, Lin, Yunfeng <yunfeng....@citi.com >> <mailto:yunfeng....@citi.com>> >> wrote: >> >>> I’ve created an issue in jira >>> >>> >>> >>> https://issues.apache.org/jira/browse/ZEPPELIN-648 >>> <https://issues.apache.org/jira/browse/ZEPPELIN-648> >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.or >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.or> >> g_jira_browse_ZEPPELIN-2D648&d=BQMFaQ&c=j-EkbjBYwkAB4f8ZbVn1Fw&r=b2BXW >> a66OlJ_NWqk5P310M6mGfus8eDC5O4J0-nePFY&m=P05kinGmpfFiWwLExz9hZO76uI5rp >> P5SoqI8JJ2UWEY&s=hlbpHl6qhaZZD5ZWy6DeFySuZEZt3JysxHFYer2shG8&e=> >>> >>> >>> >>> *From:* Benjamin Kim [mailto:bbuil...@gmail.com <mailto:bbuil...@gmail.com>] >>> *Sent:* Tuesday, February 02, 2016 3:34 PM >>> *To:* users@zeppelin.incubator.apache.org >>> <mailto:users@zeppelin.incubator.apache.org> >>> *Cc:* d...@zeppelin.incubator.apache.org >>> <mailto:d...@zeppelin.incubator.apache.org> >>> *Subject:* Re: csv dependencies loaded in %spark but not %sql in >>> spark 1.6/zeppelin 0.5.6 >>> >>> >>> >>> Same here. I want to know the answer too. >>> >>> >>> >>> >>> >>> On Feb 2, 2016, at 12:32 PM, Jonathan Kelly <jonathaka...@gmail.com >>> <mailto:jonathaka...@gmail.com>> >>> wrote: >>> >>> >>> >>> Hey, I just ran into that same exact issue yesterday and wasn't sure >>> if I was doing something wrong or what. Glad to know it's not just me! >>> Unfortunately I have not yet had the time to look any deeper into it. >> Would >>> you mind filing a JIRA if there isn't already one? >>> >>> >>> >>> On Tue, Feb 2, 2016 at 12:29 PM Lin, Yunfeng <yunfeng....@citi.com >>> <mailto:yunfeng....@citi.com>> >> wrote: >>> >>> Hi guys, >>> >>> >>> >>> I load spark-csv dependencies in %spark, but not in %sql using >>> apache zeppelin 0.5.6 with spark 1.6.0. Everything is working fine >>> in zeppelin >>> 0.5.5 with spark 1.5 through >>> >>> >>> >>> Do you have similar problems? >>> >>> >>> >>> I am loading spark csv dependencies ( >>> https://github.com/databricks/spark-csv >>> <https://github.com/databricks/spark-csv> >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_datab >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_datab> >> ricks_spark-2Dcsv&d=BQMFaQ&c=j-EkbjBYwkAB4f8ZbVn1Fw&r=b2BXWa66OlJ_NWqk >> 5P310M6mGfus8eDC5O4J0-nePFY&m=P05kinGmpfFiWwLExz9hZO76uI5rpP5SoqI8JJ2U >> WEY&s=gsqKqOCjZHR_BW221s_VLo9A7XweGQR50Me_YKEH0UM&e=> >>> < >> https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_databr >> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_databr> >> icks_spark-2Dcsv&d=BQMFaQ&c=j-EkbjBYwkAB4f8ZbVn1Fw&r=b2BXWa66OlJ_NWqk5 >> P310M6mGfus8eDC5O4J0-nePFY&m=dSXRZCZNlnU1tx9rtyX9UWfdjT0EPbafKr2NyIrXP >> -o&s=zUPPWKYhZiNUuIUWmlXXGF_94ImGHQ4qHpFCU0xSEzg&e= >>> >>> ) >>> >>> >>> >>> Using: >>> >>> %dep >>> >>> z.load(“PATH/commons-csv-1.1.jar”) >>> >>> z.load(“PATH/spark-csv_2.10-1.3.0.jar”) >>> >>> z.load(“PATH/univocity-parsers-1.5.1.jar:) >>> >>> z.load(“PATH/scala-library-2.10.5.jar”) >>> >>> >>> >>> I am able to load a csv from hdfs using data frame API in spark. It >>> is running perfect fine. >>> >>> %spark >>> >>> val df = sqlContext.read >>> >>> .format("com.databricks.spark.csv") >>> >>> .option("header", "false") // Use finrst line of all files as >>> header >>> >>> .option("inferSchema", "true") // Automatically infer data types >>> >>> .load("hdfs://sd-6f48-7fe6:8020/tmp/people.txt >>> <hdfs://sd-6f48-7fe6:8020/tmp/people.txt>") // this is a file >>> in HDFS >>> >>> df.registerTempTable("people") >>> >>> df.show() >>> >>> >>> >>> This also work: >>> >>> %spark >>> >>> val df2=sqlContext.sql(“select * from people”) >>> >>> df2.show() >>> >>> >>> >>> But this doesn’t work…. >>> >>> %sql >>> >>> select * from people >>> >>> >>> >>> java.lang.ClassNotFoundException: >>> com.databricks.spark.csv.CsvRelation$$anonfun$1$$anonfun$2 at >>> java.net.URLClassLoader$1.run(URLClassLoader.java:366) at >>> java.net.URLClassLoader$1.run(URLClassLoader.java:355) at >>> java.security.AccessController.doPrivileged(Native Method) at >>> java.net.URLClassLoader.findClass(URLClassLoader.java:354) at >>> java.lang.ClassLoader.loadClass(ClassLoader.java:425) at >>> sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) at >>> java.lang.ClassLoader.loadClass(ClassLoader.java:358) at >>> java.lang.Class.forName0(Native Method) at >>> java.lang.Class.forName(Class.java:270) at >>> >> org.apache.spark.util.InnerClosureFinder$$anon$4.visitMethodInsn(Closu >> reCleaner.scala:435) >>> at org.apache.xbean.asm5.ClassReader.a(Unknown Source) at >>> org.apache.xbean.asm5.ClassReader.b(Unknown Source) at >>> org.apache.xbean.asm5.ClassReader.accept(Unknown Source) at >>> org.apache.xbean.asm5.ClassReader.accept(Unknown Source) at >>> >> org.apache.spark.util.ClosureCleaner$.getInnerClosureClasses(ClosureCl >> eaner.scala:84) >>> at >>> >> org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCle >> aner$$clean(ClosureCleaner.scala:187) >>> at >>> org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:122 >>> ) >> at >>> org.apache.spark.SparkContext.clean(SparkContext.scala:2055) at >>> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:70 >>> 7) at >>> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1.apply(RDD.scala:70 >>> 6) at >>> >> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.sc >> ala:150) >>> at >>> >> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.sc >> ala:111) >>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) at >>> org.apache.spark.rdd.RDD.mapPartitions(RDD.scala:706) at >>> com.databricks.spark.csv.CsvRelation.tokenRdd(CsvRelation.scala:90) >>> at >>> com.databricks.spark.csv.CsvRelation.buildScan(CsvRelation.scala:104 >>> ) at >>> com.databricks.spark.csv.CsvRelation.buildScan(CsvRelation.scala:152 >>> ) at >>> >> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun >> $4.apply(DataSourceStrategy.scala:64) >>> at >>> >> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun >> $4.apply(DataSourceStrategy.scala:64) >>> at >>> >> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun >> $pruneFilterProject$1.apply(DataSourceStrategy.scala:274) >>> at >>> >> org.apache.spark.sql.execution.datasources.DataSourceStrategy$$anonfun >> $pruneFilterProject$1.apply(DataSourceStrategy.scala:273) >>> at >>> >> org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFi >> lterProjectRaw(DataSourceStrategy.scala:352) >>> at >>> >> org.apache.spark.sql.execution.datasources.DataSourceStrategy$.pruneFi >> lterProject(DataSourceStrategy.scala:269) >>> at >>> >> org.apache.spark.sql.execution.datasources.DataSourceStrategy$.apply(D >> ataSourceStrategy.scala:60) >>> at >>> >> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(Q >> ueryPlanner.scala:58) >>> at >>> >> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(Q >> ueryPlanner.scala:58) >>> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at >>> >> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner. >> scala:59) >>> at >>> >> org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPla >> nner.scala:54) >>> at >>> >> org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(S >> parkStrategies.scala:349) >>> at >>> >> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(Q >> ueryPlanner.scala:58) >>> at >>> >> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(Q >> ueryPlanner.scala:58) >>> >>> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at >>> >> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner. >> scala:59) >>> at >>> >> org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(Que >> ryExecution.scala:47) >>> at >>> >> org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution >> .scala:45) >>> at >>> >> org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute( >> QueryExecution.scala:52) >>> at >>> >> org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecut >> ion.scala:52) >>> at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2134) >>> at >>> org.apache.spark.sql.DataFrame.head(DataFrame.scala:1413) at >>> org.apache.spark.sql.DataFrame.take(DataFrame.scala:1495) at >>> sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at >>> >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.j >> ava:57) >>> at >>> >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccess >> orImpl.java:43) >>> at java.lang.reflect.Method.invoke(Method.java:606) at >> org.apache.zeppelin.spark.ZeppelinContext.showDF(ZeppelinContext.java: >> 297) >>> at >>> >> org.apache.zeppelin.spark.SparkSqlInterpreter.interpret(SparkSqlInterp >> reter.java:144) >>> at >> org.apache.zeppelin.interpreter.ClassloaderInterpreter.interpret(Class >> loaderInterpreter.java:57) >>> at >>> >> org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpen >> Interpreter.java:93) >>> at >>> >> org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$Interpr >> etJob.jobRun(RemoteInterpreterServer.java:300) >>> at org.apache.zeppelin.scheduler.Job.run(Job.java:169) at >>> org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java >>> :134) >>> at >> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471 >> ) >>> at java.util.concurrent.FutureTask.run(FutureTask.java:262) at >>> >> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.a >> ccess$201(ScheduledThreadPoolExecutor.java:178) >>> at >>> >> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.r >> un(ScheduledThreadPoolExecutor.java:292) >>> at >>> >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.j >> ava:1145) >>> at >>> >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor. >> java:615) >>> at java.lang.Thread.run(Thread.java:745) >>> >>> >>> >>> >>> >>> >>> >>> I notice that in the source code of spark interpreter (class: >>> org.apache.zeppelin.spark.ZeppelinContext. There are something >>> different between spark 1.5 and spark 1.6. Spark 1.5 is using >>> SQLContext while >> Spark >>> 1.6 is HiveContext. Unfortunately, no matter true or false are set >>> in zeppelin.spark.useHiveContext, %sql just can’t find csv >>> dependencies … >>> >>> >>> >>> >>> >>> try { >>> // Use reflection because of classname returned by queryExecution >>> changes from >>> // Spark <1.5.2 org.apache.spark.sql.SQLContext$QueryExecution >>> // Spark 1.6.0> org.apache.spark.sql.hive.HiveContext$QueryExecution >>> Object qe = df.getClass().getMethod("queryExecution").invoke(df); >>> Object a = qe.getClass().getMethod("analyzed").invoke(qe); >>> scala.collection.Seq seq = (scala.collection.Seq) >>> a.getClass().getMethod("output").invoke(a); >>> >>> columns = (List<Attribute>) scala.collection.JavaConverters. >>> *seqAsJavaListConverter*(seq) >>> >>> .asJava(); } catch (NoSuchMethodException | SecurityException | >>> IllegalAccessException >>> | IllegalArgumentException | InvocationTargetException e) { >>> throw new InterpreterException(e); } >>> >>> >>> >>> Yunfeng
