Custom Map Reduce Program on Hive, what's the Rule? How about input and output?

Question

I got stuck for a few days because I want to create a custom map reduce program based on my query on hive, I found not many examples after googling and I\'m still confused about

Answer 1

There are basically 2 ways to add custom mappers/reducers to hive queries.

1. using transform

SELECT TRANSFORM(stuff1, stuff2) FROM table1 USING 'script' AS thing1, thing2

where stuff1, stuff2 are the fields in table1 and script is any executable which accepts the format i describe later. thing1, thing2 are the outputs from script

1. using map and reduce

FROM (
    FROM table
    MAP table.f1 table.f2
    USING 'map_script'
    AS mp1, mp2
    CLUSTER BY mp1) map_output
  INSERT OVERWRITE TABLE someothertable
    REDUCE map_output.mp1, map_output.mp2
    USING 'reduce_script'
    AS reducef1, reducef2;

This is slightly more complicated but gives more control. There are 2 parts to this. In the first part the mapper script will receive data from table and map it to fields mp1 and mp2. these are then passed on to reduce_script, this script will receive sorted output on the key, which we have specified in CLUSTER BY mp1. mind you, more than one key will be handled by one reducer. The output of the reduce script will go to table someothertable

Now all these scripts follow a simple pattern. they will read line by line from stdin. The fields will be \t separated and they will write back to stdout, in the same manner ( fields separated by '\t' )

Check out this blog, there are some nice examples.

http://dev.bizo.com/2009/07/custom-map-scripts-and-hive.html

http://dev.bizo.com/2009/10/reduce-scripts-in-hive.html