Yes, I've found a number of problems with metadata management in Spark SQL. 

One core issue is  SPARK-9764
<https://issues.apache.org/jira/browse/SPARK-9764>  . Related issues are 
SPARK-9342 <https://issues.apache.org/jira/browse/SPARK-9342>  ,  SPARK-9761
<https://issues.apache.org/jira/browse/SPARK-9761>   and  SPARK-9762
<https://issues.apache.org/jira/browse/SPARK-9762>  .

I've also observed a case where, after an exception in ALTER TABLE, Spark
SQL thought a table had 0 rows while, in fact, all the data was still there.
I was not able to reproduce this one reliably so I did not create a JIRA
issue for it.

Let's vote for these issues and get them resolved.



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