[jira] [Resolved] (SPARK-21661) SparkSQL can't merge load table from Hadoop

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-21661.
----------------------------------
    Resolution: Fixed

I think it was fixed in the PR above. Please reopen this if this still exists.

> SparkSQL can't merge load table from Hadoop
> -------------------------------------------
>
>                 Key: SPARK-21661
>                 URL: https://issues.apache.org/jira/browse/SPARK-21661
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Dapeng Sun
>
> Here is the original text of external table on HDFS：
> {noformat}
> Permission	Owner	Group	Size	Last Modified	Replication	Block Size	Name
> -rw-r--r--	root	supergroup	0 B	8/6/2017, 11:43:03 PM	3	256 MB	income_band_001.dat
> -rw-r--r--	root	supergroup	0 B	8/6/2017, 11:39:31 PM	3	256 MB	income_band_002.dat
> ...
> -rw-r--r--	root	supergroup	327 B	8/6/2017, 11:44:47 PM	3	256 MB	income_band_530.dat
> {noformat}
> After SparkSQL load, every files have a output file, even the files are 0B. For the load on Hive, the data files would be merged according the data size of original files.
> Reproduce:
> {noformat}
> CREATE EXTERNAL TABLE t1 (a int,b string)  STORED AS TEXTFILE LOCATION "hdfs://xxx:9000/data/t1"
> CREATE TABLE t2 STORED AS PARQUET AS SELECT * FROM t1;
> {noformat}
> The table t2 have many small files without data.



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