Big Data

Apache Drill – A Data Engine Which Can Play with Data from Any Data Source

Apache Drill can sit on the top of any data source – be it relational, non-relational, S3, JSON etc. It presents an SQL interface to process data from […]

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Mohd Naeem
  • Apache Drill can sit on the top of any data source – be it relational, non-relational, S3, JSON etc.
  • It presents an SQL interface to process data from these data sources
  • Lets see how Apache Drill connects with HIVE as well as MongoDB and then presents a SQL interface to process data.
  • First open Hive view in Ambari dashboard and create a database movielens in Hive query window:
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    • Now upload the ratings data to the movielens database:
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  • Now lets load users data to MongoDB:
  • Once both the databases are ready, now begins the “Apache Drill” magic.
    • Go to “http://drill.apache.org/download/” to go to the latest Apache Drill from either the direct download or the mirror. Copy the link.
    • Now go to the Ambari Sandbox command line console download the tar file to say “home/maria_dev”( you can choose any folder though with right permissions) – wget http://mirrors.koehn.com/apache/drill/drill-1.12.0/apache-drill-1.12.0.tar.gz
    • unzip the file – tar -xvf apache-drill-1.12.0.tar.gz
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    • change directory to extracted folder – cd apache-drill-1.12.0
    • Now start drill – bin/drillbit.sh start -Ddrill.exec.http.port=8778 or bin/drillbit.sh start -Ddrill.exec.http.port=8765
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    • Now open the browser and use this port 8778/8765 to open the Drill dashboard:
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    • Click on the ‘Storage’ menu to open the configuration tab:
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    • You can see that the Storage plugins for hive and mongo are yet not enabled.
    • You will have to first click on “update” link to update or verify the connectionstrings and then “enable” to enable the plugin
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      update the hive.metastore.urls to “thrift://localhost:9083” or to the server and port hive is running
       
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      update connection to “mongodb://localhost:27017” or to the server and port mongo is running.
       
    • Finally click “Query” window and start playing.
      • First see list of databases Drill is configured to – show databases;
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      • Now check data from mongo:
        • run – SELECT * FROM mongo.movielens.usersData LIMIT 5;
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          We pulled data from mongo
      • Now check data from hive:
        • SELECT * FROM hive.movielens.ratings LIMIT 5;
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      • Finally join them:
        • SELECT u.occupation, count(*) as ratingCount FROM mongo.movielens.usersData u join hive.movielens.ratings r on r.user_id=u.user_id group by u.occupation order by ratingCount desc;
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          So we succeeded in pulling data from mongo and hive and presenting in Apache drill and used joins, group by order by etc. Wow, Students have given the most ratings….
           
        • Lets stop Drill now – bin/drillbit.sh stop and also MongoDB shell.