Felix GV 2013-03-21, 03:27
-Re: Getting bogus rows from sqoop import...?
Jarek Jarcec Cecho 2013-03-21, 04:42
we've seen similar behaviour in the past when the data itself contains Hive special characters like new line characters. Would you mind trying your import with --hive-drop-import-delims to see if it helps?
On Wed, Mar 20, 2013 at 11:27:58PM -0400, Felix GV wrote:
> I'm trying to import a full table from MySQL to Hadoop/Hive. It works with
> certain parameters, but when I try to do an ETL that's somewhat more
> complex, I start getting bogus rows in my resulting table.
> This works:
> sqoop import \
> --username xxxxx \
> --password xxxxx \
> --hive-import \
> --hive-overwrite \
> -m 23 \
> --direct \
> --hive-table profile_felix_test17 \
> --split-by id \
> --table Profile
> But if I use a --query instead of a --table, then I start getting bogus
> records (and by that, I mean rows that have a non-sensically high primary
> key that doesn't exist in my source database and null for the rest of the
> The output I get with the above query is not exactly the way I want it.
> Using --query, I can get the data in the format I want (by transforming
> some stuff inside MySQL), but then I also get the bogus rows, which pretty
> much makes the Hive table unusable.
> I tried various combinations of parameters and it's hard to pin-point
> exactly what causes the problem, so it could be more intricate than my
> above simplistic description. That being said, removing --table and adding
> the following params definitely breaks it:
> --target-dir /tests/sqoop/general/profile_felix_test \
> --query "select * from Profile WHERE \$CONDITIONS"
> (Ultimately, I want to use a query that's more complex than this, but even
> a simple query like this breaks...)
> Any ideas why this would happen and how to solve it?
> Is this the kind of problem that Sqoop2's cleaner architecture intends to
> I use CDH 4.2, BTW.
> Thanks :) !
Felix GV 2013-03-21, 04:47
Felix GV 2013-03-21, 20:46
Felix GV 2013-03-22, 00:32
Venkat Ranganathan 2013-03-22, 00:54