Pinot Data Explorer

Once you have set up the Cluster, you can start exploring the data and the APIs using the Pinot Data Explorer.
Navigate to http://localhost:9000 in your browser to open the controller UI.
Cluster Manager
The first screen that you'll see when you open the Pinot Data Explorer is the Cluster Manager. The Cluster Manager provides a UI to operate and manage your cluster.
Pinot Cluster Manager
If you want to view the contents of a server, click on its instance name. You'll then see the following:
Pinot Server
To view the baseballStats table, click on its name, which will show the following screen:
baseballStats Table
From this screen, we can edit or delete the table, edit or adjust its schema, as well as several other operations. 
For example, if we want to add yearID to the list of inverted indexes, click on Edit Table, add the extra column, and click Save:
Edit Table
Query Console
Let us run some queries on the data in the Pinot cluster. Head over to Query Console to see the querying interface.
We can see our baseballStats table listed on the left (you will see meetupRSVP or airlineStats if you used the streaming or the hybrid quick start). Click on the table name to display all the names along with the data types of the columns of the table.
You can also execute a sample query select * from baseballStats limit 10 by typing it in the text box and clicking the Run Query button.
Cmd + Enter can also be used to run the query when focused on the console.
You can also try out the following queries:
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select playerName, max(hits) 
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from baseballStats 
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group by playerName 
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order by max(hits) desc
Copied!
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select sum(hits), sum(homeRuns), sum(numberOfGames) 
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from baseballStats 
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where yearID > 2010
Copied!
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select * 
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from baseballStats 
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order by league
Copied!
Pinot supports a subset of standard SQL. For more information, see Pinot Query Language.
Rest API
The Pinot Admin UI contains all the APIs that you will need to operate and manage your cluster. It provides a set of APIs for Pinot cluster management including health check, instances management, schema and table management, data segments management.
Let's check out the tables in this cluster by going to Table -> List all tables in cluster, click Try it out, and then click Execute. We can see thebaseballStats table listed here. We can also see the exact cURL call made to the controller API.
List all tables in cluster
You can look at the configuration of this table by going to Tables -> Get/Enable/Disable/Drop a table, click Try it out, type baseballStats in the table name, and then click Execute.
Let's check out the schemas in the cluster by going to Schema -> List all schemas in the cluster, click Try it out, and then click Execute. We can see a schema called baseballStats in this list.
List all schemas in the cluster
Take a look at the schema by going to Schema -> Get a schema, click Try it out, type baseballStats in the schema name, and then click Execute.
baseballStats Schema
Finally, let's check out the data segments in the cluster by going to Segment -> List all segments, click Try it out, type in baseballStats in the table name, and then click Execute. There's 1 segment for this table, called baseballStats_OFFLINE_0.
To learn how to upload your own data and schema, see Batch Ingestion or Stream ingestion.

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Getting Started

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Contents

Cluster Manager

Query Console

Rest API