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https://issues.apache.org/jira/browse/HIVE-15197?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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vishal.rajan updated HIVE-15197:
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Priority: Blocker (was: Major)
> count and 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
> Components: Hive
> Affects Versions: 2.0.0, 2.1.0, 2.0.1
> Reporter: vishal.rajan
> Priority: Blocker
>
> When the below query is run in hive 1.2.0 it returns 'NULL NULL 0' on
> empty table but when the same query is run on hive 2.1.0, nothing is returned
> on empty table.(both tables are ORC external tables)
> ----------------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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