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https://issues.apache.org/jira/browse/DRILL-4996?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15645260#comment-15645260
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Rahul Challapalli commented on DRILL-4996:
------------------------------------------

[~vitalii] Based on my understanding of your comments, drill-1.6.0 somehow 
wrote correct values for the date column. To test it I went back to a commit 
before the fix for drill-4203 expecting drill to return correct values. However 
I still get wrong values.
{code}
[root@qa-node190 drillAutomation]# /opt/drill/bin/sqlline -u 
jdbc:drill:zk=10.10.100.190:5181
apache drill 1.9.0-SNAPSHOT 
"say hello to my little drill"
0: jdbc:drill:zk=10.10.100.190:5181> select * from sys.version;
+-----------------+-------------------------------------------+--------------------------------------------------------------------+----------------------------+-----------------------------+----------------------------+
|     version     |                 commit_id                 |                 
          commit_message                           |        commit_time         
|         build_email         |         build_time         |
+-----------------+-------------------------------------------+--------------------------------------------------------------------+----------------------------+-----------------------------+----------------------------+
| 1.9.0-SNAPSHOT  | 17b96484998691687a00aa74cd69eef2fff6bae1  | DRILL-4870 
drill-config.sh sets JAVA_HOME incorrectly for the Mac  | 14.10.2016 @ 10:53:31 
PDT  | [email protected]  | 07.11.2016 @ 11:39:46 PST  |
+-----------------+-------------------------------------------+--------------------------------------------------------------------+----------------------------+-----------------------------+----------------------------+
1 row selected (0.712 seconds)
0: jdbc:drill:zk=10.10.100.190:5181> select i_rec_start_date, i_size from 
dfs.`/drill/testdata/parquet_date/auto_partition/item_multipart_autorefresh`  
group by i_rec_start_date, i_size;
+-------------------+--------------+
| i_rec_start_date  |    i_size    |
+-------------------+--------------+
| null              | large        |
| 366-11-08        | extra large  |
| 366-11-08        | medium       |
| null              | medium       |
| 366-11-08        | petite       |
| 364-11-07        | medium       |
| null              | petite       |
| 365-11-07        | medium       |
| 368-11-07        | economy      |
| 365-11-07        | large        |
| 365-11-07        | small        |
| 366-11-08        | small        |
| 365-11-07        | extra large  |
| 364-11-07        | N/A          |
| 366-11-08        | economy      |
| 366-11-08        | large        |
| 364-11-07        | small        |
| null              | small        |
| 364-11-07        | large        |
| 364-11-07        | extra large  |
| 368-11-07        | N/A          |
| 368-11-07        | extra large  |
| 368-11-07        | large        |
| 365-11-07        | petite       |
| null              | N/A          |
| 365-11-07        | economy      |
| 364-11-07        | economy      |
| 364-11-07        | petite       |
| 365-11-07        | N/A          |
| 368-11-07        | medium       |
| null              | extra large  |
| 368-11-07        | small        |
| 368-11-07        | petite       |
| 366-11-08        | N/A          |
+-------------------+--------------+
34 rows selected (1.303 seconds)
{code}

Thoughts?

> Parquet Date auto-correction is not working in auto-partitioned parquet files 
> generated by drill-1.6
> ----------------------------------------------------------------------------------------------------
>
>                 Key: DRILL-4996
>                 URL: https://issues.apache.org/jira/browse/DRILL-4996
>             Project: Apache Drill
>          Issue Type: Bug
>          Components: Storage - Parquet
>            Reporter: Rahul Challapalli
>            Priority: Critical
>         Attachments: item.tgz
>
>
> git.commit.id.abbrev=4ee1d4c
> Below are the steps I followed to generate the data :
> {code}
> 1. Generate a parquet file with date column using hive1.2
> 2. Use drill 1.6 to create auto-partitioned parquet files partitioned on the 
> date column
> {code}
> Now the below query returns wrong results :
> {code}
> select i_rec_start_date, i_size from 
> dfs.`/drill/testdata/parquet_date/auto_partition/item_multipart_autorefresh`  
> group by i_rec_start_date, i_size;
> +-------------------+--------------+
> | i_rec_start_date  |    i_size    |
> +-------------------+--------------+
> | null              | large        |
> | 366-11-08        | extra large  |
> | 366-11-08        | medium       |
> | null              | medium       |
> | 366-11-08        | petite       |
> | 364-11-07        | medium       |
> | null              | petite       |
> | 365-11-07        | medium       |
> | 368-11-07        | economy      |
> | 365-11-07        | large        |
> | 365-11-07        | small        |
> | 366-11-08        | small        |
> | 365-11-07        | extra large  |
> | 364-11-07        | N/A          |
> | 366-11-08        | economy      |
> | 366-11-08        | large        |
> | 364-11-07        | small        |
> | null              | small        |
> | 364-11-07        | large        |
> | 364-11-07        | extra large  |
> | 368-11-07        | N/A          |
> | 368-11-07        | extra large  |
> | 368-11-07        | large        |
> | 365-11-07        | petite       |
> | null              | N/A          |
> | 365-11-07        | economy      |
> | 364-11-07        | economy      |
> | 364-11-07        | petite       |
> | 365-11-07        | N/A          |
> | 368-11-07        | medium       |
> | null              | extra large  |
> | 368-11-07        | small        |
> | 368-11-07        | petite       |
> | 366-11-08        | N/A          |
> +-------------------+--------------+
> 34 rows selected (0.691 seconds)
> {code}
> However I tried generating the auto-partitioned parquet files using Drill 1.2 
> and then the above query returned the right results.
> I attached the required data sets.



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