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