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Pinot Data Explorer
Pinot Data Explorer is a user-friendly interface in Apache Pinot for interactive data exploration, querying, and visualization.
Once you have set up a cluster, you can start exploring the data and the APIs using the Pinot Data Explorer.
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
Let's run some queries on the data in the Pinot cluster. Navigate 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.
Here are some sample queries you can try:
select playerName, max(hits)
from baseballStats
group by playerName
order by max(hits) desc
select sum(hits), sum(homeRuns), sum(numberOfGames)
from baseballStats
where yearID > 2010
select *
from baseballStats
order by league
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 the
baseballStats 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.Last modified 1mo ago