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From ale...@apache.org
Subject [2/2] kudu git commit: [docs] Add troubleshooting for KuduStorageHandler
Date Wed, 03 May 2017 17:45:52 GMT
[docs] Add troubleshooting for KuduStorageHandler

Change-Id: I80e028a6f827269d97f26ec7a2cf4b8c22d2a838
Reviewed-on: http://gerrit.cloudera.org:8080/6738
Tested-by: Kudu Jenkins
Reviewed-by: Dan Burkert <danburkert@apache.org>
(cherry picked from commit bcb08fcd92095f540b2df3b82e78660932d3a556)
Reviewed-on: http://gerrit.cloudera.org:8080/6785


Project: http://git-wip-us.apache.org/repos/asf/kudu/repo
Commit: http://git-wip-us.apache.org/repos/asf/kudu/commit/22bdf82b
Tree: http://git-wip-us.apache.org/repos/asf/kudu/tree/22bdf82b
Diff: http://git-wip-us.apache.org/repos/asf/kudu/diff/22bdf82b

Branch: refs/heads/branch-1.3.x
Commit: 22bdf82b48b929dc10abd0602f1eff56721b75bf
Parents: 5487db1
Author: Jean-Daniel Cryans <jdcryans@apache.org>
Authored: Wed Apr 26 18:49:45 2017 -0700
Committer: Jean-Daniel Cryans <jdcryans@apache.org>
Committed: Wed May 3 17:29:51 2017 +0000

----------------------------------------------------------------------
 docs/troubleshooting.adoc | 10 ++++++++++
 1 file changed, 10 insertions(+)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/kudu/blob/22bdf82b/docs/troubleshooting.adoc
----------------------------------------------------------------------
diff --git a/docs/troubleshooting.adoc b/docs/troubleshooting.adoc
index 6ae5efb..73b7183 100644
--- a/docs/troubleshooting.adoc
+++ b/docs/troubleshooting.adoc
@@ -236,3 +236,13 @@ User stack:
 
 These traces can be useful for diagnosing root-cause latency issues when they are caused
by systems
 below Kudu, such as disk controllers or file systems.
+
+== Issues using Kudu
+
+[[hive_handler]]
+=== ClassNotFoundException: com.cloudera.kudu.hive.KuduStorageHandler
+
+Users will encounter this exception when trying to use a Kudu table via Hive. This
+is not a case of a missing jar, but simply that Impala stores Kudu metadata in
+Hive in a format that's unreadable to other tools, including Hive itself and Spark.
+There is no workaround for Hive users. Spark users need to create temporary tables.


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