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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