Before you can ingest any data into Elasticsearch, you first need to construct indices for a particular dataset. In this hands-on lab, you will get to define indices in a pre-built Elasticsearch environment in order to prepare the cluster to ingest some data.
Learning Objectives
Successfully complete this lab by achieving the following learning objectives:
- Create the leads_b2b-000001 Index
From the Kibana console, craft a request to create the
leads_b2b-000001
index with1
primary and0
replica shards.- Create the leads_b2c-000001 Index
From the Kibana console, craft a request to create the
leads_b2c-000001
index with1
primary and0
replica shards.- Create the sales_b2c-000001 Index
From the Kibana console, craft a request to create the
sales_b2c-000001
index with1
primary and0
replica shards.