Can you file a JIRA ticket? Thanks. The URL is issues.apache.org/jira/browse/SPARK
On Mon, Jan 11, 2016 at 1:44 AM, Gaini Rajeshwar < raja.rajeshwar2...@gmail.com> wrote: > Hi All, > > I am using PostgreSQL database. I am using the following jdbc call to > access a customer table (*customer_id int, event text, country text, > content xml)* in my database. > > *val dataframe1 = sqlContext.load("jdbc", Map("url" -> > "jdbc:postgresql://localhost/customerlogs?user=postgres&password=postgres", > "dbtable" -> "customer"))* > > When i run above command in spark-shell i receive the following error. > > *java.sql.SQLException: Unsupported type 1111* > * at > org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.org$apache$spark$sql$execution$datasources$jdbc$JDBCRDD$$getCatalystType(JDBCRDD.scala:103)* > * at > org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anonfun$1.apply(JDBCRDD.scala:140)* > * at > org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anonfun$1.apply(JDBCRDD.scala:140)* > * at scala.Option.getOrElse(Option.scala:120)* > * at > org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:139)* > * at > org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:91)* > * at > org.apache.spark.sql.execution.datasources.jdbc.DefaultSource.createRelation(DefaultSource.scala:60)* > * at > org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:158)* > * at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:119)* > * at org.apache.spark.sql.SQLContext.load(SQLContext.scala:1153)* > * at $iwC$$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$$iwC.<init>(<console>:40)* > * at $iwC.<init>(<console>:42)* > * at <init>(<console>:44)* > * at .<init>(<console>:48)* > * at .<clinit>(<console>)* > * at .<init>(<console>:7)* > * at .<clinit>(<console>)* > * at $print(<console>)* > * at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)* > * at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)* > * at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)* > * at java.lang.reflect.Method.invoke(Method.java:497)* > * at > org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)* > * at > org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)* > * at > org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)* > * at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)* > * at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)* > * at > org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)* > * at > org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)* > * at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)* > * at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)* > * at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)* > * at org.apache.spark.repl.SparkILoop.org > <http://org.apache.spark.repl.SparkILoop.org>$apache$spark$repl$SparkILoop$$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 > <http://org.apache.spark.repl.SparkILoop.org>$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)* > * at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)* > * at org.apache.spark.repl.Main$.main(Main.scala:31)* > * at org.apache.spark.repl.Main.main(Main.scala)* > * at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)* > * at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)* > * at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)* > * at java.lang.reflect.Method.invoke(Method.java:497)* > * at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$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)* > > Is xml column type not supported yet in spark ? is there any way to fix > this issue ? > > Thanks, > Rajeshwar Gaini. >