I am using apache-hive-1.2.2 on Hadoop 2.6.0. When am running a hive query with where clause it is giving results immediately without launching any MapReduce job. I'm not sure what is happening. Table has over 100k records.
2 Answers
I am quoting this from Hive Documentation
hive.fetch.task.conversion
Some select queries can be converted to a single FETCH task, minimizing latency. Currently the query should be single sourced not having any subquery and should not have any aggregations or distincts (which incur RS – ReduceSinkOperator, requiring a MapReduce task), lateral views and joins.
Any type of the sort of aggregation like max or min or count is going to require a MapReduce job. So it depends on your data-set you have.
select * from tablename;
It just reads raw data from files in HDFS, so it is much faster without MapReduce and it doesn't need MR.
This is due to the the property "hive.fetch.task.conversion". The default value is set to "more" (Hive 2.1.0) and results in Hive trying to go straight at the data by launching a single Fetch task instead of a Map Reduce job wherever possible.
This behaviour however might not be desirable in case you have a huge table (say 500 GB+) as it would cause a single thread to be launched instead of multiple threads as happens in the case of a Map Reduce job. You can set this property to "minimal" or "none" in hive-site.xml to bypass the behaviour.