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https://issues.apache.org/jira/browse/SPARK-21661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16119256#comment-16119256
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Hyukjin Kwon commented on SPARK-21661:
--------------------------------------

Are you maybe able to test this one in the current master? I guess this could 
be fixed via https://github.com/apache/spark/pull/18654.

> 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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