Hi , I am using Spark 1.3.0.
I was able to join a JSON file on HDFS registered as a TempTable with a table in MySQL. On the same lines I tried to join a table in Hive with another table in Teradata but I get a query parse exception. Regards, Ishwardeep From: ankitjindal [via Apache Spark User List] [mailto:ml-node+s1001560n22762...@n3.nabble.com] Sent: Tuesday, May 5, 2015 1:26 PM To: Ishwardeep Singh Subject: Re: Unable to join table across data sources using sparkSQL Hi I was doing the same but with a file in hadoop as a temp table and one table in sql server but i succeeded in it. Which spark version are you using currently? Thanks Ankit ________________________________ If you reply to this email, your message will be added to the discussion below: http://apache-spark-user-list.1001560.n3.nabble.com/Unable-to-join-table-across-data-sources-using-sparkSQL-tp22761p22762.html To unsubscribe from Unable to join table across data sources using sparkSQL, click here<http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=22761&code=aXNod2FyZGVlcC5zaW5naEBpbXBldHVzLmNvLmlufDIyNzYxfDgzMDExNzI4OQ==>. NAML<http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml> ________________________________ NOTE: This message may contain information that is confidential, proprietary, privileged or otherwise protected by law. The message is intended solely for the named addressee. If received in error, please destroy and notify the sender. Any use of this email is prohibited when received in error. Impetus does not represent, warrant and/or guarantee, that the integrity of this communication has been maintained nor that the communication is free of errors, virus, interception or interference. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Unable-to-join-table-across-data-sources-using-sparkSQL-tp22761p22763.html Sent from the Apache Spark User List mailing list archive at Nabble.com.
