Purpose of the project

This example will help you to configure a tier storage for your existing DHF. The trick is to create a partition with 0 forest, then rename the existing one to the standard format + assign the forests to it.

Installation instruction

Deploy DataHub:

gradle mlDeploy

Load Data with mlcp

gradle importContent

execute workspace

open the workspace named "tierStorageWorkspace.xml" and execute the steps in this order:

1. query assignment: change the final database assigment to query
2. default partition: create the default partition with 0 forests (you can change the partition name)
3. rename forests: rename the existing Final forest to hot-000*
4. set forests to partition 1: attach the forest to the default partition
5. create tier1 partition: create the partition 2 with a forest folder
6. set query partition: set the query partition assiciated to the partition 2

update gradle configuration

copy the folder : tierStorageGradleConf/ml-config to ml-config

update the query partition

ml-gradle will not update the query partition if you change it directly in the project, you need first to delete the query partition with the admin rest api