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From Sergio Peña (JIRA) <j...@apache.org>
Subject [jira] [Updated] (HIVE-15199) INSERT INTO data on S3 is replacing the old rows with the new ones
Date Tue, 22 Nov 2016 22:37:58 GMT

     [ https://issues.apache.org/jira/browse/HIVE-15199?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sergio Peña updated HIVE-15199:
-------------------------------
    Attachment: HIVE-15199.9.patch

Addressed issues from [~yalovyyi] on the RB.

Also, I'll keep to the if (!exists || !rename) condition on S3, and not using the listFiles()
to avoid OOM issues with concurrent HS2 requests. We can design a better performance approach
in a different JIRA.

> INSERT INTO data on S3 is replacing the old rows with the new ones
> ------------------------------------------------------------------
>
>                 Key: HIVE-15199
>                 URL: https://issues.apache.org/jira/browse/HIVE-15199
>             Project: Hive
>          Issue Type: Bug
>          Components: Hive
>            Reporter: Sergio Peña
>            Assignee: Sergio Peña
>            Priority: Critical
>         Attachments: HIVE-15199.1.patch, HIVE-15199.2.patch, HIVE-15199.3.patch, HIVE-15199.4.patch,
HIVE-15199.5.patch, HIVE-15199.6.patch, HIVE-15199.7.patch, HIVE-15199.8.patch, HIVE-15199.9.patch
>
>
> Any INSERT INTO statement run on S3 tables and when the scratch directory is saved on
S3 is deleting old rows of the table.
> {noformat}
> hive> set hive.blobstore.use.blobstore.as.scratchdir=true;
> hive> create table t1 (id int, name string) location 's3a://spena-bucket/t1';
> hive> insert into table t1 values (1,'name1');
> hive> select * from t1;
> 1       name1
> hive> insert into table t1 values (2,'name2');
> hive> select * from t1;
> 2       name2
> {noformat}



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