[
https://issues.apache.org/jira/browse/CALCITE-1806?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16445221#comment-16445221
]
ASF GitHub Bot commented on CALCITE-1806:
-----------------------------------------
Github user risdenk commented on the issue:
https://github.com/apache/calcite-avatica/pull/28
Rebased on latest master to look at this again.
> UnsupportedOperationException accessing Druid through Spark JDBC
> ----------------------------------------------------------------
>
> Key: CALCITE-1806
> URL: https://issues.apache.org/jira/browse/CALCITE-1806
> Project: Calcite
> Issue Type: Bug
> Components: avatica
> Affects Versions: avatica-1.9.0
> Environment: Spark 1.6, scala 10, CDH 5.7
> Reporter: Benjamin Vogan
> Priority: Major
>
> I am interested in querying Druid via Spark. I realize that there are
> several mechanisms for doing this, but I was curious about using the JDBC
> batch offered by the latest release as it is familiar to our analysts and
> seems like it should be a well supported path going forward.
> My first attempt has failed with an UnsupportedOperationException. I ran
> spark-shell with the --jars option to add the avatica 1.9.0 jdbc driver jar.
> {noformat}
> scala> val dw2 = sqlContext.read.format("jdbc").options(Map("url" ->
> "jdbc:avatica:remote:url=http://jarvis-druid-query002:8082/druid/v2/sql/avatica/";,
> "dbtable" -> "sor_business_events_all", "driver" ->
> "org.apache.calcite.avatica.remote.Driver", "fetchSize"->"10000")).load()
> java.lang.UnsupportedOperationException
> at
> org.apache.calcite.avatica.AvaticaConnection.prepareStatement(AvaticaConnection.java:275)
> at
> org.apache.calcite.avatica.AvaticaConnection.prepareStatement(AvaticaConnection.java:121)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:122)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:91)
> at
> org.apache.spark.sql.execution.datasources.jdbc.DefaultSource.createRelation(DefaultSource.scala:57)
> at
> org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:158)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:119)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:25)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:30)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:32)
> at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:34)
> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:36)
> at $iwC$$iwC$$iwC.<init>(<console>:38)
> at $iwC$$iwC.<init>(<console>:40)
> at $iwC.<init>(<console>:42)
> at <init>(<console>:44)
> at .<init>(<console>:48)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1045)
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1326)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:821)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:852)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:800)
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
> at
> org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at
> org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1064)
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala){noformat}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
