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

Dapeng Sun updated SPARK-21661:
-------------------------------
    Description: 
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.

  was:
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.

CREATE EXTERNAL TABLE t1 (a int,b string) 


> 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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