[ https://issues.apache.org/jira/browse/SPARK-7869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-7869: ----------------------------------- Assignee: Apache Spark > 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: 1.3.0, 1.3.1 > Environment: Spark 1.3.1 > Reporter: Brad Willard > Assignee: Apache Spark > 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) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org