mirror of https://github.com/apache/cassandra
git-svn-id: https://svn.apache.org/repos/asf/cassandra/trunk@1099103 13f79535-47bb-0310-9956-ffa450edef68 |
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| bin | ||
| src/java/org/apache/cassandra/hadoop/pig | ||
| README.txt | ||
| build.xml | ||
| example-script.pig | ||
README.txt
A Pig storage class that reads all columns from a given ColumnFamily, or writes
properly formatted results into a ColumnFamily.
Setup:
First build and start a Cassandra server with the default
configuration and set the PIG_HOME and JAVA_HOME environment
variables to the location of a Pig >= 0.7.0 install and your Java
install.
NOTE: if you intend to _output_ to Cassandra, until there is a Pig release that
uses jackson > 1.0.1 (see https://issues.apache.org/jira/browse/PIG-1863) you
will need to build Pig yourself with jackson 1.4. To do this, edit Pig's
ivy/libraries.properties, and run ant.
If you would like to run using the Hadoop backend, you should
also set PIG_CONF_DIR to the location of your Hadoop config.
Finally, set the following as environment variables (uppercase,
underscored), or as Hadoop configuration variables (lowercase, dotted):
* PIG_INITIAL_ADDRESS or cassandra.thrift.address : initial address to connect to
* PIG_RPC_PORT or cassandra.thrift.port : the port thrift is listening on
* PIG_PARTITIONER or cassandra.partitioner.class : cluster partitioner
For example, against a local node with the default settings, you'd use:
export PIG_INITIAL_ADDRESS=localhost
export PIG_RPC_PORT=9160
export PIG_PARTITIONER=org.apache.cassandra.dht.RandomPartitioner
Then you can build and run it like this:
contrib/pig$ ant
contrib/pig$ bin/pig_cassandra -x local example-script.pig
This will run the test script against your Cassandra instance
and will assume that there is a MyKeyspace/MyColumnFamily with some
data in it. It will run in local mode (see pig docs for more info).
If you'd like to get to a 'grunt>' shell prompt, run:
contrib/pig$ bin/pig_cassandra -x local
Once the 'grunt>' shell has loaded, try a simple program like the
following, which will determine the top 50 column names:
grunt> rows = LOAD 'cassandra://MyKeyspace/MyColumnFamily' USING CassandraStorage() AS (key, columns: bag {T: tuple(name, value)});
grunt> cols = FOREACH rows GENERATE flatten(columns);
grunt> colnames = FOREACH cols GENERATE $0;
grunt> namegroups = GROUP colnames BY (chararray) $0;
grunt> namecounts = FOREACH namegroups GENERATE COUNT($1), group;
grunt> orderednames = ORDER namecounts BY $0;
grunt> topnames = LIMIT orderednames 50;
grunt> dump topnames;
Slices on columns can also be specified:
grunt> rows = LOAD 'cassandra://MyKeyspace/MyColumnFamily&slice_start=C2&slice_end=C4&i&limit=1&reversed=true' USING CassandraStorage() AS (key, columns: bag {T: tuple(name, value)});
Binary values for slice_start and slice_end can be escaped such as '\u0255'
Outputting to Cassandra requires the same format from input, so the simplest example is:
grunt> rows = LOAD 'cassandra://MyKeyspace/MyColumnFamily' USING CassandraStorage();
grunt> STORE rows into 'cassandra://MyKeyspace/MyColumnFamily' USING CassandraStorage();
Which will copy the ColumnFamily. Note that the destination ColumnFamily must
already exist for this to work.