You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@phoenix.apache.org by "Sean Busbey (JIRA)" <ji...@apache.org> on 2016/06/10 19:35:20 UTC
[jira] [Created] (PHOENIX-2985) Phoenix-Spark IT for non-existent
column fails on Apache Spark 1.6
Sean Busbey created PHOENIX-2985:
------------------------------------
Summary: Phoenix-Spark IT for non-existent column fails on Apache Spark 1.6
Key: PHOENIX-2985
URL: https://issues.apache.org/jira/browse/PHOENIX-2985
Project: Phoenix
Issue Type: Bug
Affects Versions: 4.7.0, 4.8.0
Reporter: Sean Busbey
I tried rerunning the test suite with Apache Spark updated to their latest stable release line (1.6.1) and the ITs for our phoenix-spark integration fails.
{code}
- Using a predicate referring to a non-existent column should fail *** FAILED ***
org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
TungstenExchange SinglePartition, None
+- TungstenAggregate(key=[], functions=[(count(1),mode=Partial,isDistinct=false)], output=[count#27L])
+- Project
+- Scan ExistingRDD[id#22L,col1#23]
was not an instance of org.apache.phoenix.schema.ColumnNotFoundException, but an instance of org.apache.spark.sql.catalyst.errors.package$TreeNodeException (PhoenixSparkIT.scala:191)
{code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)