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Posted to dev@hive.apache.org by "vishal.rajan (JIRA)" <ji...@apache.org> on 2016/11/14 13:44:58 UTC

[jira] [Created] (HIVE-15197) count sum query on empty table, returning empty output

vishal.rajan created HIVE-15197:
-----------------------------------

             Summary: count sum query on empty table, returning empty output 
                 Key: HIVE-15197
                 URL: https://issues.apache.org/jira/browse/HIVE-15197
             Project: Hive
          Issue Type: Bug
    Affects Versions: 2.1.0
            Reporter: vishal.rajan


When the below query is run in hive 1.2 it returns 'NULL	NULL	0'  but when the same query is run on hive 2.1.0, nothing is returned.
----------------hive 1.2.0 -------------------------
hive>  SELECT sum(destination_pincode),sum(length(source_city)),count(*)  from test_stage.geo_zone;
MapReduce Jobs Launched: 
Stage-Stage-1: Map: 1   Cumulative CPU: 4.79 sec   HDFS Read: 7354 HDFS Write: 114 SUCCESS
Total MapReduce CPU Time Spent: 4 seconds 790 msec
OK
NULL	NULL	0
Time taken: 38.168 seconds, Fetched: 1 row(s)

---------------------hive 2.1.0-------------------------------------
hive> SELECT sum(destination_pincode),sum(length(source_city)),count(*)  from test_stage.geo_zone
WARNING: Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.

Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
2016-11-14 19:06:15,421 WARN  [Thread-215] mapreduce.JobResourceUploader (JobResourceUploader.java:uploadFiles(64)) - Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
2016-11-14 19:06:19,222 INFO  [Thread-215] input.FileInputFormat (FileInputFormat.java:listStatus(283)) - Total input paths to process : 1
2016-11-14 19:06:20,000 INFO  [Thread-215] mapreduce.JobSubmitter (JobSubmitter.java:submitJobInternal(198)) - number of splits:0
Hadoop job information for Stage-1: number of mappers: 0; number of reducers: 0

2016-11-14 19:06:39,405 Stage-1 map = 0%,  reduce = 0%
Stage-Stage-1:  HDFS Read: 0 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 0 msec
OK
Time taken: 28.302 seconds





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