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Posted to issues@spark.apache.org by "Sergey Bahchissaraitsev (JIRA)" <ji...@apache.org> on 2016/06/16 11:57:05 UTC
[jira] [Updated] (SPARK-15987) PostgreSQL CITEXT type support
[ https://issues.apache.org/jira/browse/SPARK-15987?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sergey Bahchissaraitsev updated SPARK-15987:
--------------------------------------------
Affects Version/s: 1.6.1
Environment:
Ubuntu linux 14.04
PostgreSQL version 9.3.9
Labels: dataframe jdbc postgresql (was: )
Priority: Critical (was: Blocker)
Description:
When trying to use spark data frame on a table with CITEXT type you get the following error:
Exception in thread "main" java.sql.SQLException: Unsupported type 1111
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.org$apache$spark$sql$execution$datasources$jdbc$JDBCRDD$$getCatalystType(JDBCRDD.scala:102)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anonfun$1.apply(JDBCRDD.scala:141)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anonfun$1.apply(JDBCRDD.scala:141)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:140)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:91)
at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:222)
at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:208)
Component/s: SQL
> PostgreSQL CITEXT type support
> ------------------------------
>
> Key: SPARK-15987
> URL: https://issues.apache.org/jira/browse/SPARK-15987
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 1.6.1
> Environment: Ubuntu linux 14.04
> PostgreSQL version 9.3.9
> Reporter: Sergey Bahchissaraitsev
> Priority: Critical
> Labels: dataframe, jdbc, postgresql
>
> When trying to use spark data frame on a table with CITEXT type you get the following error:
> Exception in thread "main" java.sql.SQLException: Unsupported type 1111
> at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.org$apache$spark$sql$execution$datasources$jdbc$JDBCRDD$$getCatalystType(JDBCRDD.scala:102)
> at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anonfun$1.apply(JDBCRDD.scala:141)
> at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anonfun$1.apply(JDBCRDD.scala:141)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:140)
> at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:91)
> at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:222)
> at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:208)
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