Now that the QuickStartCluster is setup, we can start exploring the data and the APIs. Head over to http://localhost:9000 in your browser.
You are now connected to the Pinot controller. Let's take a look at the following two features.
Query Console
let's us run queries on the data in the Pinot cluster
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). Clicking on the table name should display all the names and data types of the columns of the table, and also execute a sample query select * from baseballStats limit 10 . You can query this table by typing your query in the text box and clicking the Run Query button.
Here's some other queries you can try out:
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
Pinot supports a subset of standard SQL. See for more information.
Rest API
The 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 and click on Try it out!. We can see the baseballStats table listed here. We can also see the exact curl call made to the controller API.
You can look at the configuration of this table by going to , type in baseballStats in the table name, and click Try it out!
Let's check out the schemas in the cluster by going to and click Try it out!. We can see a schema called baseballStats in this list.
Take a look at the schema by going to , type baseballStats in the schema name, and click Try it out!.
Finally, let's checkout the data segments in the cluster by going to , type in baseballStats in the table name, and click Try it out!. There's 1 segment for this table, called baseballStats_OFFLINE_0.
You might have figured out by now, in order to get data into the Pinot cluster, we need a table, a schema and segments. Let's head over to , to find out more about these components and learn how to create them for your own data.
