[jira] [Created] (SPARK-8842) Spark SQL - Insert into table Issue

["James Greenwood (JIRA)" <ji...@apache.org>]

James Greenwood created SPARK-8842:
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             Summary: Spark SQL - Insert into table Issue
                 Key: SPARK-8842
                 URL: https://issues.apache.org/jira/browse/SPARK-8842
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.4.0
            Reporter: James Greenwood


I am running spark 1.4 and currently experiencing an issue when inserting data into a table. The data is loaded into an initial table and then selected from this table, processed and then inserted into a second table. The issue is that some of the data goes missing when inserted into the second table when running in a multi-worker configuration (a master, a worker on the master and then a worker on a different host). 

I have narrowed down the problem to the insert into the second table. An example process to generate the problem is below. 

Generate a file (for example /home/spark/test) with the numbers 1 to 50 on separate lines. 

spark-sql --master spark://spark-master:7077 --hiveconf hive.metastore.warehouse.dir=/spark 
(/spark is shared between all hosts) 

create table test(field string); 
load data inpath '/home/spark/test' into table test; 
create table processed(field string); 
from test insert into table processed select *; 
select * from processed; 

The result from the final select does not contain all the numbers 1 to 50. 

I have also run the above example in some different configurations :- 

- When there is just one worker running on the master. The result of the final select is the rows 1-50 i.e all data as expected. 
- When there is just one worker running on a host which is not the master. The final select returns no rows.

No errors are logged in the log files.



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