druid/docs/api-reference/json-querying-api.md

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---
id: json-querying-api
title: JSON querying API
sidebar_label: JSON querying
---
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
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This topic describes the API endpoints to submit JSON-based [native queries](../querying/querying.md) to Apache Druid.
In this topic, `http://SERVICE_IP:SERVICE_PORT` is a placeholder for the server address of deployment and the service port. For example, on the quickstart configuration, replace `http://ROUTER_IP:ROUTER_PORT` with `http://localhost:8888`.
## Submit a query
Submits a JSON-based native query. The body of the request is the native query itself.
Druid supports different types of queries for different use cases. All queries require the following properties:
* `queryType`: A string representing the type of query. Druid supports the following native query types: `timeseries`, `topN`, `groupBy`, `timeBoundaries`, `segmentMetadata`, `datasourceMetadata`, `scan`, and `search`.
* `dataSource`: A string or object defining the source of data to query. The most common value is the name of the datasource to query. For more information, see [Datasources](../querying/datasource.md).
For additional properties based on your query type or use case, see [available native queries](../querying/querying.md#available-queries).
### URL
`POST` `/druid/v2`
### Query parameters
* `pretty` (optional)
* Druid returns the response in a pretty-printed format using indentation and line breaks.
### Responses
<Tabs>
<TabItem value="1" label="200 SUCCESS">
*Successfully submitted query*
</TabItem>
<TabItem value="2" label="400 BAD REQUEST">
*Error thrown due to bad query. Returns a JSON object detailing the error with the following format:*
```json
{
"error": "A well-defined error code.",
"errorMessage": "A message with additional details about the error.",
"errorClass": "Class of exception that caused this error.",
"host": "The host on which the error occurred."
}
```
For more information on possible error messages, see [query execution failures](../querying/querying.md#query-execution-failures).
</TabItem>
</Tabs>
---
### Example query: `topN`
The following example shows a `topN` query. The query analyzes the `social_media` datasource to return the top five users from the `username` dimension with the highest number of views from the `views` metric.
<Tabs>
<TabItem value="3" label="cURL">
```shell
curl "http://ROUTER_IP:ROUTER_PORT/druid/v2?pretty=null" \
--header 'Content-Type: application/json' \
--data '{
"queryType": "topN",
"dataSource": "social_media",
"dimension": "username",
"threshold": 5,
"metric": "views",
"granularity": "all",
"aggregations": [
{
"type": "longSum",
"name": "views",
"fieldName": "views"
}
],
"intervals": [
"2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"
]
}'
```
</TabItem>
<TabItem value="4" label="HTTP">
```HTTP
POST /druid/v2?pretty=null HTTP/1.1
Host: http://ROUTER_IP:ROUTER_PORT
Content-Type: application/json
Content-Length: 336
{
"queryType": "topN",
"dataSource": "social_media",
"dimension": "username",
"threshold": 5,
"metric": "views",
"granularity": "all",
"aggregations": [
{
"type": "longSum",
"name": "views",
"fieldName": "views"
}
],
"intervals": [
"2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"
]
}
```
</TabItem>
</Tabs>
#### Example response: `topN`
<details>
<summary>View the response</summary>
```json
[
{
"timestamp": "2023-07-03T18:49:54.848Z",
"result": [
{
"views": 11591218026,
"username": "gus"
},
{
"views": 11578638578,
"username": "miette"
},
{
"views": 11561618880,
"username": "leon"
},
{
"views": 11552609824,
"username": "mia"
},
{
"views": 11551537517,
"username": "milton"
}
]
}
]
```
</details>
### Example query: `groupBy`
The following example submits a JSON query of the `groupBy` type to retrieve the `username` with the highest votes to posts ratio from the `social_media` datasource.
In this query:
* The `upvoteSum` aggregation calculates the sum of the `upvotes` for each user.
* The `postCount` aggregation calculates the sum of posts for each user.
* The `upvoteToPostRatio` is a post-aggregation of the `upvoteSum` and the `postCount`, divided to calculate the ratio.
* The result is sorted based on the `upvoteToPostRatio` in descending order.
<Tabs>
<TabItem value="5" label="cURL">
```shell
curl "http://ROUTER_IP:ROUTER_PORT/druid/v2" \
--header 'Content-Type: application/json' \
--data '{
"queryType": "groupBy",
"dataSource": "social_media",
"dimensions": ["username"],
"granularity": "all",
"aggregations": [
{ "type": "doubleSum", "name": "upvoteSum", "fieldName": "upvotes" },
{ "type": "count", "name": "postCount", "fieldName": "post_title" }
],
"postAggregations": [
{
"type": "arithmetic",
"name": "upvoteToPostRatio",
"fn": "/",
"fields": [
{ "type": "fieldAccess", "name": "upvoteSum", "fieldName": "upvoteSum" },
{ "type": "fieldAccess", "name": "postCount", "fieldName": "postCount" }
]
}
],
"intervals": ["2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"],
"limitSpec": {
"type": "default",
"limit": 1,
"columns": [
{ "dimension": "upvoteToPostRatio", "direction": "descending" }
]
}
}'
```
</TabItem>
<TabItem value="6" label="HTTP">
```HTTP
POST /druid/v2?pretty=null HTTP/1.1
Host: http://ROUTER_IP:ROUTER_PORT
Content-Type: application/json
Content-Length: 817
{
"queryType": "groupBy",
"dataSource": "social_media",
"dimensions": ["username"],
"granularity": "all",
"aggregations": [
{ "type": "doubleSum", "name": "upvoteSum", "fieldName": "upvotes" },
{ "type": "count", "name": "postCount", "fieldName": "post_title" }
],
"postAggregations": [
{
"type": "arithmetic",
"name": "upvoteToPostRatio",
"fn": "/",
"fields": [
{ "type": "fieldAccess", "name": "upvoteSum", "fieldName": "upvoteSum" },
{ "type": "fieldAccess", "name": "postCount", "fieldName": "postCount" }
]
}
],
"intervals": ["2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"],
"limitSpec": {
"type": "default",
"limit": 1,
"columns": [
{ "dimension": "upvoteToPostRatio", "direction": "descending" }
]
}
}
```
</TabItem>
</Tabs>
#### Example response: `groupBy`
<details>
<summary>View the response</summary>
```json
[
{
"version": "v1",
"timestamp": "2022-01-01T00:00:00.000Z",
"event": {
"upvoteSum": 8.0419541E7,
"upvoteToPostRatio": 69.53014661762697,
"postCount": 1156614,
"username": "miette"
}
}
]
```
</details>
## Get segment information for query
Retrieves an array that contains objects with segment information, including the server locations associated with the query provided in the request body.
### URL
`POST` `/druid/v2/candidates`
### Query parameters
* `pretty` (optional)
* Druid returns the response in a pretty-printed format using indentation and line breaks.
### Responses
<Tabs>
<TabItem value="7" label="200 SUCCESS">
*Successfully retrieved segment information*
</TabItem>
<TabItem value="8" label="400 BAD REQUEST">
*Error thrown due to bad query. Returns a JSON object detailing the error with the following format:*
```json
{
"error": "A well-defined error code.",
"errorMessage": "A message with additional details about the error.",
"errorClass": "Class of exception that caused this error.",
"host": "The host on which the error occurred."
}
```
For more information on possible error messages, see [query execution failures](../querying/querying.md#query-execution-failures).
</TabItem>
</Tabs>
---
### Sample request
<Tabs>
<TabItem value="9" label="cURL">
```shell
curl "http://ROUTER_IP:ROUTER_PORT/druid/v2/candidates" \
--header 'Content-Type: application/json' \
--data '{
"queryType": "topN",
"dataSource": "social_media",
"dimension": "username",
"threshold": 5,
"metric": "views",
"granularity": "all",
"aggregations": [
{
"type": "longSum",
"name": "views",
"fieldName": "views"
}
],
"intervals": [
"2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"
]
}'
```
</TabItem>
<TabItem value="10" label="HTTP">
```HTTP
POST /druid/v2/candidates HTTP/1.1
Host: http://ROUTER_IP:ROUTER_PORT
Content-Type: application/json
Content-Length: 336
{
"queryType": "topN",
"dataSource": "social_media",
"dimension": "username",
"threshold": 5,
"metric": "views",
"granularity": "all",
"aggregations": [
{
"type": "longSum",
"name": "views",
"fieldName": "views"
}
],
"intervals": [
"2020-01-01T00:00:00.000/2024-01-01T00:00:00.000"
]
}
```
</TabItem>
</Tabs>
### Sample response
<details>
<summary>View the response</summary>
```json
[
{
"interval": "2023-07-03T18:00:00.000Z/2023-07-03T19:00:00.000Z",
"version": "2023-07-03T18:51:18.905Z",
"partitionNumber": 0,
"size": 21563693,
"locations": [
{
"name": "localhost:8083",
"host": "localhost:8083",
"hostAndTlsPort": null,
"maxSize": 300000000000,
"type": "historical",
"tier": "_default_tier",
"priority": 0
}
]
},
{
"interval": "2023-07-03T19:00:00.000Z/2023-07-03T20:00:00.000Z",
"version": "2023-07-03T19:00:00.657Z",
"partitionNumber": 0,
"size": 6057236,
"locations": [
{
"name": "localhost:8083",
"host": "localhost:8083",
"hostAndTlsPort": null,
"maxSize": 300000000000,
"type": "historical",
"tier": "_default_tier",
"priority": 0
}
]
},
{
"interval": "2023-07-05T21:00:00.000Z/2023-07-05T22:00:00.000Z",
"version": "2023-07-05T21:09:58.102Z",
"partitionNumber": 0,
"size": 223926186,
"locations": [
{
"name": "localhost:8083",
"host": "localhost:8083",
"hostAndTlsPort": null,
"maxSize": 300000000000,
"type": "historical",
"tier": "_default_tier",
"priority": 0
}
]
},
{
"interval": "2023-07-05T21:00:00.000Z/2023-07-05T22:00:00.000Z",
"version": "2023-07-05T21:09:58.102Z",
"partitionNumber": 1,
"size": 20244827,
"locations": [
{
"name": "localhost:8083",
"host": "localhost:8083",
"hostAndTlsPort": null,
"maxSize": 300000000000,
"type": "historical",
"tier": "_default_tier",
"priority": 0
}
]
},
{
"interval": "2023-07-05T22:00:00.000Z/2023-07-05T23:00:00.000Z",
"version": "2023-07-05T22:00:00.524Z",
"partitionNumber": 0,
"size": 104628051,
"locations": [
{
"name": "localhost:8083",
"host": "localhost:8083",
"hostAndTlsPort": null,
"maxSize": 300000000000,
"type": "historical",
"tier": "_default_tier",
"priority": 0
}
]
},
{
"interval": "2023-07-05T22:00:00.000Z/2023-07-05T23:00:00.000Z",
"version": "2023-07-05T22:00:00.524Z",
"partitionNumber": 1,
"size": 1603995,
"locations": [
{
"name": "localhost:8083",
"host": "localhost:8083",
"hostAndTlsPort": null,
"maxSize": 300000000000,
"type": "historical",
"tier": "_default_tier",
"priority": 0
}
]
},
{
"interval": "2023-07-05T23:00:00.000Z/2023-07-06T00:00:00.000Z",
"version": "2023-07-05T23:21:55.242Z",
"partitionNumber": 0,
"size": 181506843,
"locations": [
{
"name": "localhost:8083",
"host": "localhost:8083",
"hostAndTlsPort": null,
"maxSize": 300000000000,
"type": "historical",
"tier": "_default_tier",
"priority": 0
}
]
},
{
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"version": "2023-07-06T00:02:08.498Z",
"partitionNumber": 0,
"size": 9170974,
"locations": [
{
"name": "localhost:8083",
"host": "localhost:8083",
"hostAndTlsPort": null,
"maxSize": 300000000000,
"type": "historical",
"tier": "_default_tier",
"priority": 0
}
]
},
{
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"version": "2023-07-06T00:02:08.498Z",
"partitionNumber": 1,
"size": 23969632,
"locations": [
{
"name": "localhost:8083",
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"maxSize": 300000000000,
"type": "historical",
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}
]
},
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"locations": [
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}
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"locations": [
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"locations": [
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"type": "historical",
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}
]
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"type": "historical",
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"priority": 0
}
]
},
{
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"partitionNumber": 1,
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"locations": [
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}
]
},
{
"interval": "2023-07-06T17:00:00.000Z/2023-07-06T18:00:00.000Z",
"version": "2023-07-06T17:00:02.391Z",
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"size": 211099463,
"locations": [
{
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"type": "historical",
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}
]
}
]
```
</details>