# Pinot Data Explorer

Once you have set up a 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 Data Explorer 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](https://content.gitbook.com/content/rf0prjfAFgkoPcoDdnqL/blobs/cgb1uC2IpuXf5GyqRr8e/Screenshot%20from%202021-11-25%2010-47-54.png)

If you want to view the contents of a server, click on its instance name. You'll then see the following:

![Pinot Server](https://content.gitbook.com/content/rf0prjfAFgkoPcoDdnqL/blobs/gm0BdriBAxsLwlGuMUL6/image.png)

To view the *baseballStats* table, click on its name, which will show the following screen:

![baseballStats Table](https://content.gitbook.com/content/rf0prjfAFgkoPcoDdnqL/blobs/s3WfyCnDWF0SEM3h712O/image.png)

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](https://github.com/pinot-contrib/pinot-docs/blob/latest/.gitbook/assets/edit-baseball-stats-table-config.png)

## Query Console

Let's run some queries on the data in the Pinot cluster. Navigate to [Query Console](http://localhost:9000/#/query) 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](https://docs.pinot.apache.org/basics/getting-started/running-pinot-in-docker)). 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.

![](https://content.gitbook.com/content/rf0prjfAFgkoPcoDdnqL/blobs/lrDaM8sQrGFy9zLnUj9l/Pinot_query_console_cropped.png)

Here are some sample queries you can try:

```sql
select playerName, max(hits) 
from baseballStats 
group by playerName 
order by max(hits) desc
```

```sql
select sum(hits), sum(homeRuns), sum(numberOfGames) 
from baseballStats 
where yearID > 2010
```

```sql
select * 
from baseballStats 
order by league
```

Pinot supports a subset of standard SQL. For more information, see [Pinot Query Language](https://docs.pinot.apache.org/release-1.1.0/for-users/user-guide-query/querying-pinot).

## Rest 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.

![](https://content.gitbook.com/content/rf0prjfAFgkoPcoDdnqL/blobs/qD0qGHhvu4l9dneoarJW/Screen%20Shot%202020-02-28%20at%2010.00.43%20AM.png)

Let's check out the tables in this cluster by going to [Table -> List all tables in cluster](http://localhost:9000/help#/Table/listTables), 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](https://content.gitbook.com/content/rf0prjfAFgkoPcoDdnqL/blobs/CRItX0wpubvNz1kC0XOg/image.png)

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), 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](http://localhost:9000/help#!/Schema/listSchemaNames), click **Try it out**, and then click **Execute**. We can see a schema called `baseballStats` in this list.

![List all schemas in the cluster](https://content.gitbook.com/content/rf0prjfAFgkoPcoDdnqL/blobs/h9Z5Qahxx8HAEjWWouw4/image.png)

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

![baseballStats Schema](https://content.gitbook.com/content/rf0prjfAFgkoPcoDdnqL/blobs/IoCoxw9WcFaK06XTp0eW/image.png)

Finally, let's check out the data segments in the cluster by going to [Segment -> List all segments](http://localhost:9000/help#!/Segment/getSegments), 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](https://docs.pinot.apache.org/release-1.1.0/basics/data-import/batch-ingestion) or [Stream ingestion](https://docs.pinot.apache.org/release-1.1.0/basics/data-import/pinot-stream-ingestion).


---

# 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-1.1.0/basics/components/exploring-pinot.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.