# Controller Admin API

The [Pinot Admin UI](http://localhost:9000/help) 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.

Note: The controller API's are primarily for admin tasks. Even though the UI console queries Pinot when running queries from the query console, please use the [Broker Query API](https://docs.pinot.apache.org/users/api/querying-pinot-using-standard-sql) for querying Pinot.

![](/files/-M1BxN51vPW0p9FFuJCK)

Let's check out the tables in this cluster by going to [Table -> List all tables in cluster](http://localhost:9000/help#!/Table/listTableConfigs) 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.

![List all tables in cluster](/files/-M1BxrpXNZI7d1Dju6zO)

You can look at the configuration of this table by going to [Tables -> Get/Enable/Disable/Drop a table](http://localhost:9000/help#!/Table/alterTableStateOrListTableConfig), type in `baseballStats` in the table name, and click `Try it out!`

Let's check out the schemas in the cluster by going to [Schema -> List all schemas in the cluster](http://localhost:9000/help#!/Schema/listSchemaNames) and click `Try it out!`. We can see a schema called `baseballStats` in this list.

![List all schemas in the cluster](/files/-M1Bz_PiVhEyMmAS7Dbk)

Take a look at the schema by going to [Schema -> Get a schema](http://localhost:9000/help#!/Schema/getSchema), type `baseballStats` in the schema name, and click `Try it out!`.

```
{
  "schemaName": "baseballStats",
  "dimensionFieldSpecs": [
    {
      "name": "playerID",
      "dataType": "STRING"
    },
    {
      "name": "yearID",
      "dataType": "INT"
    },
    {
      "name": "teamID",
      "dataType": "STRING"
    },
    {
      "name": "league",
      "dataType": "STRING"
    },
    {
      "name": "playerName",
      "dataType": "STRING"
    }
  ],
  "metricFieldSpecs": [
    {
      "name": "playerStint",
      "dataType": "INT"
    },
    {
      "name": "numberOfGames",
      "dataType": "INT"
    },
    {
      "name": "numberOfGamesAsBatter",
      "dataType": "INT"
    },
    {
      "name": "AtBatting",
      "dataType": "INT"
    },
    {
      "name": "runs",
      "dataType": "INT"
    },
    {
      "name": "hits",
      "dataType": "INT"
    },
    {
      "name": "doules",
      "dataType": "INT"
    },
    {
      "name": "tripples",
      "dataType": "INT"
    },
    {
      "name": "homeRuns",
      "dataType": "INT"
    },
    {
      "name": "runsBattedIn",
      "dataType": "INT"
    },
    {
      "name": "stolenBases",
      "dataType": "INT"
    },
    {
      "name": "caughtStealing",
      "dataType": "INT"
    },
    {
      "name": "baseOnBalls",
      "dataType": "INT"
    },
    {
      "name": "strikeouts",
      "dataType": "INT"
    },
    {
      "name": "intentionalWalks",
      "dataType": "INT"
    },
    {
      "name": "hitsByPitch",
      "dataType": "INT"
    },
    {
      "name": "sacrificeHits",
      "dataType": "INT"
    },
    {
      "name": "sacrificeFlies",
      "dataType": "INT"
    },
    {
      "name": "groundedIntoDoublePlays",
      "dataType": "INT"
    },
    {
      "name": "G_old",
      "dataType": "INT"
    }
  ]
}
```

Finally, let's checkout the data segments in the cluster by going to [List all segments](http://localhost:9000/help#!/Segment/getSegments), 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 [Batch upload sample data](/release-0.9.0/basics/getting-started/pushing-your-data-to-pinot.md), to find out more about these components and learn how to create them for your own data.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.pinot.apache.org/release-0.9.0/users/api/pinot-rest-admin-interface.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.