As part of this section, we will see how to set up Pig and Oozie components and some of the key concepts related to each service. Setup Oozie, Pig, Sqoop and Hue Review Important Properties Schedule an Oozie workflow Run Pig Job Validate Sqoop Overview of Hue Cluster Topology We are setting up the cluster …
Configure Hadoop Ecosystem components – Oozie, Pig, Sqoop and Hue Read More »
Now let us format the additional hard disks we have added to each of the hosts. Create partition for /dev/sdb Format using ext4 Create directory /data1 Mount /dev/sdb partition to /data1 Create directory scripts under working directory on the first server Create file format_disk.sh under scripts using contents of the first script Run it using ansible https://gist.github.com/dgadiraju/55d5c81b319748502bfcfab78f3602d5
Impala is SQL Engine. But instead of using Map Reduce for processing it takes care of it in its own way. Most of the Hive commands work in Impala Hive CLI Commands such as show tables DDL, DML, and Queries developed in Hive will work in Impala It understands partitions and takes care of partition pruning …
Now let us understand more about the components of Impala. Impala StateStore Impala Catalog Server Impala Daemon Query Planner Query Coordinator Query Executor
We need to connect to all the instances in one shot to perform several tasks in setting up the cluster as well as managing the cluster. Ansible will facilitate us to connect to multiple instances and take care of common tasks on all the nodes. We will be connecting to the first instance using external …
As emphasized earlier queries against Hive Databases can be run using different Query Engines. Map Reduce which is the default Tez which comes as part of Hortonworks distribution. Impala which comes as part of Cloudera distribution. Drill which comes as part of MapR distribution. Presto which is developed in Facebook Spark SQL which comes as …
