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Groovy wrapper for Hive to support variable interpolation like Amazon EMR, and also unit testing for EMR.
branch: master


Version 0.1
Marc Limotte

GHive is a quick groovy wrapper around Hive.  It provides a few basic functionalities.  It can
be particularly useful if you're using Amazon EMR and want a way to run your hive scripts locally.

One of the primary use cases I wanted to support was the ability to unit test Amazon EMR hive scripts.  For an
example of how to do this, see below "test/ghive/TestSimple.groovy"


Variable Interpolation: The script can include variables of the form ${name} which are replaced
by values from the vars Map.  This is identical to the Amazon EMR extended functionality, ideally the feature
would be built directly into Hive itself, so that it could be used with non-EMR implementations.

Comments: If you have a long script, it is useful to include comments, just like you would in a long SQL script. With
GHive, you can include comments with a -- at the beginning of a line or whitespace followed by --).  You can not put
a comment at the end of a line.  That's because I didn't want to interfere with scripts that might include a string
with -- in them.  For example:
   WHERE my_field = '--'
Would be a problem. It would be nice ot fix this with a smarter regex or parser, but it wasn't worth teh trouble for me.

Dump processed script to a file: It can be useful to save a copy of the script, after the GHive pre-processor has
worked on it.  A simple use case is a complicated hive job that runs once a day.  If you dump the script to a log
directory, you can refer to it later if there are errors and even run the individual commands interactively through
the Hive shell.  There is a simple GHive API call to do this (see below).

Multiple commands through JDBC: The commands are sent through the Hive JDBC driver. JDBC only acepts one command at
a time, so the script is separated into multiple commands and fed to JDBC serially.  Commands are separated by ";" or


1. Install Apache Ant (I used version 1.7.1)
2. Adjust any paths in build.xml
3. Run:

    ant jar

4. The resulting jar will be at ./ghive.jar


Example 1 (simple script)

Create a hive script with variables and comments. For example, create a file "hive/simple.ghive":

  -- My simple hive script
  -- For simplicity, I'm assuming the tables already exist

  ADD JAR ${HIVE_LIB}/hive_contrib.jar;


  SELECT username,
         -- first_name,
         -- last_name,
  FROM   user_ex;

In your Groovy Code

    GHive ghive = GHive.instance()
    // vars are a Map<String,String>, the keys are case-sensitive. Remember, in Groovy, symbols used as keys in a map
    // don't need to be quoted.  I.e. [ FOO : 'foo' ] is equivalent to [ 'FOO' : foo ]
  	def vars = [
  			HIVE_LIB : '/usr/lib/hive/lib',
  			DATE : '2010-07-02',
    // The use od dumpScript is optional, and just writes a copy of the GHive processed hive commands to disk.
    // The resulting file could be fed directly to the hive shell via the -f flag.

Example 2

Run some query on each for a list of names and process the result in hive.  For example, a script "hive/getdata.ghive":

    -- A user may be in multiple groups
    SELECT username, group
    FROM   user_group
    WHERE  username = ${USERNAME}

And groovy code:

   GHive ghive = GHive.instance()
   def usernames = [ 'gilbert', 'brook', 'xtreme' ]
   usernames.each { username ->
     ghive.eachRow("hive/getdata.ghive", [ USERNAME : username ]) { rs ->
       def group = rs.getString(2) // Like standard java sql, a 1 based index number
       println "$username is a member of $group"


See "test/ghive/TestSimple.groovy".  The main testcase method from that exmaple is here:

	public void testSimple() {

        // the q path is relative to the classpath
        def q = "simple.hive"

        def queries = ghive.parseScript (q, [ STORAGE_TYPE: 'TEXTFILE' ])

        ghive.execute(queries[0])   // create table
        ghive.execute(queries[1])   // load data
        def result = ghive.executeAndGetList(
            "select id, value, amt from simple",
            [ 'id', 'value', 'amt' ])


        def expected = [
            [ id:'1', value:'line1', amt:'0.2' ],
            [ id:'100', value:'line2', amt:'0.3' ],
            [ id:'50', value:'line3', amt:'0.4' ]



This is a simple, external DSL. Conceivably, I could use a full parser instead of the simple REGEXs and expand this
into a full DSL with conditionals and loops and so on.  But, as Example 2 shows, you can just use groovy to do this.

If that's a typical use case, it might make more sense to create an internal DSL.

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