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https://issues.apache.org/jira/browse/HIVE-15199?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15674822#comment-15674822
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Sergio Peña commented on HIVE-15199:
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Yeah, doing the listSTatus() once will be better. I'll try that.
About the PathFilter, I used it to fill the Set<> during the listStatus(), and
avoid listStatus() to create the FileStatus[] array, and then me walking
through the array to push the elements to the Set<> again. I just need the
path, and that way I avoid creating FileStatus objects on memory. Regarding
using a Set<>, I see this is faster by walking to the different _copy_ files
and check if they're contained on the Set ( O(N) ) than walking through the
FileStatus[] once per every new _copy_ file ( O(N*N) ).
> 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
>
>
> 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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