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Posted to issues@spark.apache.org by "Brad Willard (JIRA)" <ji...@apache.org> on 2015/05/26 15:46:20 UTC

[jira] [Created] (SPARK-7869) Spark Data Frame Fails to Load Postgres Tables with JSONB DataType Columns

Brad Willard created SPARK-7869:
-----------------------------------

             Summary: Spark Data Frame Fails to Load Postgres Tables with JSONB DataType Columns
                 Key: SPARK-7869
                 URL: https://issues.apache.org/jira/browse/SPARK-7869
             Project: Spark
          Issue Type: Bug
          Components: PySpark, SQL
    Affects Versions: 1.3.1, 1.3.0
         Environment: Spark 1.3.1
            Reporter: Brad Willard
            Priority: Minor


Most of our tables load into dataframes just fine with postgres. However we have a number of tables leveraging the JSONB datatype. Spark will error and refuse to load this table. While asking for Spark to support JSONB might be a tall order in the short term, it would be great if Spark would at least load the table ignoring the columns it can't load or have it be an option.

pdf = sql_context.load(source="jdbc", url=url, dbtable="table_of_json")

Py4JJavaError: An error occurred while calling o41.load.
: java.sql.SQLException: Unsupported type 1111
    at org.apache.spark.sql.jdbc.JDBCRDD$.getCatalystType(JDBCRDD.scala:78)
    at org.apache.spark.sql.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:112)
    at org.apache.spark.sql.jdbc.JDBCRelation.<init>(JDBCRelation.scala:133)
    at org.apache.spark.sql.jdbc.DefaultSource.createRelation(JDBCRelation.scala:121)
    at org.apache.spark.sql.sources.ResolvedDataSource$.apply(ddl.scala:219)
    at org.apache.spark.sql.SQLContext.load(SQLContext.scala:697)
    at org.apache.spark.sql.SQLContext.load(SQLContext.scala:685)
    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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
    at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
    at py4j.Gateway.invoke(Gateway.java:259)
    at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
    at py4j.commands.CallCommand.execute(CallCommand.java:79)
    at py4j.GatewayConnection.run(GatewayConnection.java:207)
    at java.lang.Thread.run(Thread.java:745)



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