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https://issues.apache.org/jira/browse/SPARK-15987?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15341334#comment-15341334
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Sergey Bahchissaraitsev commented on SPARK-15987:
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If you mean my suggestion about specifying how to treat OTHER sql type, then I
meant doing it at the Spark SQL JDBCRDD level.
> PostgreSQL CITEXT type JDBC 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 14.04
> PostgreSQL 9.3.9
> Reporter: Sergey Bahchissaraitsev
> 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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