James Vaughan created HIVE-6131:
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Summary: New columns after table alter result in null values
despite data
Key: HIVE-6131
URL: https://issues.apache.org/jira/browse/HIVE-6131
Project: Hive
Issue Type: Bug
Reporter: James Vaughan
Priority: Minor
Hi folks,
I found and verified a bug on our CDH 4.0.3 install of Hive when adding columns
to tables with Partitions using 'REPLACE COLUMNS'. I dug through the Jira a
little bit and didn't see anything for it so hopefully this isn't just noise on
the radar.
Basically, when you alter a table with partitions and then reupload data to
that partition, it doesn't seem to recognize the extra data that actually
exists in HDFS- as in, returns NULL values on the new column despite having the
data and recognizing the new column in the metadata.
Here's some steps to reproduce using a basic table:
1. Run this hive command: CREATE TABLE jvaughan_test (col1 string)
partitioned by (day string);
2. Create a simple file on the system with a couple of entries, something like
"hi" and "hi2" separated by newlines.
3. Run this hive command, pointing it at the file: LOAD DATA LOCAL INPATH
'<FILEDIR>' OVERWRITE INTO TABLE jvaughan_test PARTITION (day = '2014-01-02');
4. Confirm the data with: SELECT * FROM jvaughan_test WHERE day =
'2014-01-02';
5. Alter the column definitions: ALTER TABLE jvaughan_test REPLACE COLUMNS
(col1 string, col2 string);
6. Edit your file and add a second column using the default separator (ctrl+v,
then ctrl+a in Vim) and add two more entries, such as "hi3" on the first row
and "hi4" on the second
7. Run step 3 again
8. Check the data again like in step 4
For me, this is the results that get returned:
hive> select * from jvaughan_test where day = '2014-01-01';
OK
hi NULL 2014-01-02
hi2 NULL 2014-01-02
This is despite the fact that there is data in the file stored by the partition
in HDFS.
Let me know if you need any other information. The only workaround for me
currently is to drop partitions for any I'm replacing data in and THEN reupload
the new data file.
Thanks,
-James
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