So it appears it should be possible to use HBase's new hbase-spark module, if you follow this pattern: https://hbase.apache.org/book.html#_sparksql_dataframes
Unfortunately, when I run my example from PySpark, I get the following exception: > py4j.protocol.Py4JJavaError: An error occurred while calling o120.save. > : java.lang.RuntimeException: org.apache.hadoop.hbase.spark.DefaultSource > does not allow create table as select. > at scala.sys.package$.error(package.scala:27) > at > org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:259) > at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148) > 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:381) > 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:209) > at java.lang.Thread.run(Thread.java:745) Even when I created the table in HBase first, it still failed. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-to-connect-HBase-and-Spark-using-Python-tp27372p27397.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
