Lets MapReduce with Pentaho Data Integrator
I was
exploring Pentaho Data Integrator for quite some time,
and always wanted to see how to work with BigData using Pentaho. Today I got a chance to do some
simple MapReduce with Pentaho
on the Airline dataset which I had dumped into my Cloudera Hadoop cluster (Sample Datasets).
Before
doing MR in Pentaho, we need it to configure it to
work with Cloudera (by default it is configured to
work with Apache). It can be easily done in 5 minutes by following this
link:
After doing all the listed steps make sure you are able to connect to
HDFS through Pentaho. For this:
1. Create a new transformation.
2. Add a Hadoop File Input
step.
3. Browse HDFS, give address of your namenode,
port as 8020 , user id as hdfs and by default there is no
password.
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)
4. If you are able to browse HDFS then you have successfully configured
Pentaho.
5. You can discard this transformation. Was just checking the connectivity J.
To do a simple MapReduce in Pentaho we need to create:
1. Mapper transformation
2. Combiner transformation (optional)
3. Reducer transformation
4. MapReduce job
I am going to create a simple MR task which counts the number to
flights for each month for our entire airline dataset.
First
create a Mapper transformation:
1. Create a new transformation in Pentaho, let us call it
“airline_mapper”.
2. Add a MapReduce Input step and configure it
as shown:
![](data:image/png;base64,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)
3. Add a Split Fields Step to split csv file
to different fields and connect it with previous step, configure current step as
shown:
4. Add a String Operations step to pad month field with leading 0 (to
make all month fields as 2 digit integers), connect it with previous step. It
should be configure as shown:
5. Add a User Defined Java Expression step to concatenate year with
month, connect it with previous step. It should be configure as
shown:
6. Add a MapReduce Output step and connect it
with previous step. It should be configure as shown:
I have used Carrier field to count number of flights for each month,
we can use any other field also for doing same.
7. Now save this transformation. It should like
this:
Now
create a Reducer transformation:
1. Create a new transformation in Pentaho, let us call it
“airline_reducer”.
2. Add a MapReduce Input step and configure it
as shown:
3. Add a Group By step and connect it with
previous step. It should be configure as shown:
4. Add a MapReduce Output step, connect it
with previous step. It should be configure as shown:
5. Now save this transformation. It should like
this:
Our mapper and reducer transformation are complete, now let us
combine them in a MR job.
Create
a MapReduce job:
1. Create a new job in Pentaho, let us call it
“airline_job”.
2. Add a Start step and a Pentaho MapReduce step and connect them. It should look
like:
3. Configure Pentaho MapReduce as shown in below
screenshots:
You can give any name in Hadoop Job Name, let us call our job as airline_agg.
Mapper transformation should point to airline_mapper transformation.
Mapper Input/Output Step Name should match the step names with our
mapper transformation.
4. We don’t have combiner step, so leave next tab
empty.
5. Configure Reducer tab like this:
Again Reducer Input/Output Step Name should
match the step names with our reducer transformation.
6. Configure Job Setup step as shown:
7. Configure Cluster tab like this:
8. Save and run this job.
While the job is running we can see its progress in Pentaho and also in JobTracker UI
(http://jobtracker_ip:50030/).
You can also see the details of a running job by clicking on
it:
On my Cloudera setup it took around 9 minutes to execute this
job.
I shall try to do some complex analysis on this dataset using Pentaho and post it very soon.