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Posted to user@spark.apache.org by Gaini Rajeshwar <ra...@gmail.com> on 2016/01/11 10:44:28 UTC
XML column not supported in Database
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$.main(SparkSubmit.scala:121)*
* at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)*
Is xml column type not supported yet in spark ? is there any way to fix
this issue ?
Thanks,
Rajeshwar Gaini.
Re: XML column not supported in Database
Posted by Gaini Rajeshwar <ra...@gmail.com>.
Hi Reynold,
I did create a issue in JIRA. It is SPARK-12764
<https://issues.apache.org/jira/browse/SPARK-12764>
On Tue, Jan 12, 2016 at 4:55 AM, Reynold Xin <rx...@databricks.com> wrote:
> Can you file a JIRA ticket? Thanks.
>
> The URL is issues.apache.org/jira/browse/SPARK
>
> On Mon, Jan 11, 2016 at 1:44 AM, Gaini Rajeshwar <
> raja.rajeshwar2006@gmail.com> wrote:
>
>> Hi All,
>>
>> I am using PostgreSQL database. I am using the following jdbc call to
>> access a customer table (*customer_id int, event text, country text,
>> content xml)* in my database.
>>
>> *val dataframe1 = sqlContext.load("jdbc", Map("url" ->
>> "jdbc:postgresql://localhost/customerlogs?user=postgres&password=postgres",
>> "dbtable" -> "customer"))*
>>
>> When i run above command in spark-shell i receive the following error.
>>
>> *java.sql.SQLException: Unsupported type 1111*
>> * at
>> org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.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$.main(SparkSubmit.scala:121)*
>> * at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)*
>>
>> Is xml column type not supported yet in spark ? is there any way to fix
>> this issue ?
>>
>> Thanks,
>> Rajeshwar Gaini.
>>
>
>
Re: XML column not supported in Database
Posted by Gaini Rajeshwar <ra...@gmail.com>.
Hi Reynold,
I did create a issue in JIRA. It is SPARK-12764
<https://issues.apache.org/jira/browse/SPARK-12764>
On Tue, Jan 12, 2016 at 4:55 AM, Reynold Xin <rx...@databricks.com> wrote:
> Can you file a JIRA ticket? Thanks.
>
> The URL is issues.apache.org/jira/browse/SPARK
>
> On Mon, Jan 11, 2016 at 1:44 AM, Gaini Rajeshwar <
> raja.rajeshwar2006@gmail.com> wrote:
>
>> Hi All,
>>
>> I am using PostgreSQL database. I am using the following jdbc call to
>> access a customer table (*customer_id int, event text, country text,
>> content xml)* in my database.
>>
>> *val dataframe1 = sqlContext.load("jdbc", Map("url" ->
>> "jdbc:postgresql://localhost/customerlogs?user=postgres&password=postgres",
>> "dbtable" -> "customer"))*
>>
>> When i run above command in spark-shell i receive the following error.
>>
>> *java.sql.SQLException: Unsupported type 1111*
>> * at
>> org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.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$.main(SparkSubmit.scala:121)*
>> * at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)*
>>
>> Is xml column type not supported yet in spark ? is there any way to fix
>> this issue ?
>>
>> Thanks,
>> Rajeshwar Gaini.
>>
>
>
Re: XML column not supported in Database
Posted by Reynold Xin <rx...@databricks.com>.
Can you file a JIRA ticket? Thanks.
The URL is issues.apache.org/jira/browse/SPARK
On Mon, Jan 11, 2016 at 1:44 AM, Gaini Rajeshwar <
raja.rajeshwar2006@gmail.com> wrote:
> Hi All,
>
> I am using PostgreSQL database. I am using the following jdbc call to
> access a customer table (*customer_id int, event text, country text,
> content xml)* in my database.
>
> *val dataframe1 = sqlContext.load("jdbc", Map("url" ->
> "jdbc:postgresql://localhost/customerlogs?user=postgres&password=postgres",
> "dbtable" -> "customer"))*
>
> When i run above command in spark-shell i receive the following error.
>
> *java.sql.SQLException: Unsupported type 1111*
> * at
> org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.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$.main(SparkSubmit.scala:121)*
> * at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)*
>
> Is xml column type not supported yet in spark ? is there any way to fix
> this issue ?
>
> Thanks,
> Rajeshwar Gaini.
>
Re: XML column not supported in Database
Posted by Reynold Xin <rx...@databricks.com>.
Can you file a JIRA ticket? Thanks.
The URL is issues.apache.org/jira/browse/SPARK
On Mon, Jan 11, 2016 at 1:44 AM, Gaini Rajeshwar <
raja.rajeshwar2006@gmail.com> wrote:
> Hi All,
>
> I am using PostgreSQL database. I am using the following jdbc call to
> access a customer table (*customer_id int, event text, country text,
> content xml)* in my database.
>
> *val dataframe1 = sqlContext.load("jdbc", Map("url" ->
> "jdbc:postgresql://localhost/customerlogs?user=postgres&password=postgres",
> "dbtable" -> "customer"))*
>
> When i run above command in spark-shell i receive the following error.
>
> *java.sql.SQLException: Unsupported type 1111*
> * at
> org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.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.
>