25 KiB
id | title | sidebar_label |
---|---|---|
json-querying-api | JSON querying API | JSON querying |
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This topic describes the API endpoints to submit JSON-based native queries 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
, andsearch
.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.
For additional properties based on your query type or use case, see available native queries.
URL
POST
/druid/v2/
Query parameters
pretty
(optional)- Druid returns the response in a pretty-printed format using indentation and line breaks.
Responses
Successfully submitted query
Error thrown due to bad query. Returns a JSON object detailing the error with the following format:
{
"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.
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.
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"
]
}'
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"
]
}
Example response: topN
Click to show sample response
[
{
"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"
}
]
}
]
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 theupvotes
for each user. - The
postCount
aggregation calculates the sum of posts for each user. - The
upvoteToPostRatio
is a post-aggregation of theupvoteSum
and thepostCount
, divided to calculate the ratio. - The result is sorted based on the
upvoteToPostRatio
in descending order.
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" }
]
}
}'
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" }
]
}
}
Example response: groupBy
Click to show sample response
[
{
"version": "v1",
"timestamp": "2022-01-01T00:00:00.000Z",
"event": {
"upvoteSum": 8.0419541E7,
"upvoteToPostRatio": 69.53014661762697,
"postCount": 1156614,
"username": "miette"
}
}
]
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
Successfully retrieved segment information
Error thrown due to bad query. Returns a JSON object detailing the error with the following format:
{
"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.
Sample request
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"
]
}'
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"
]
}
Sample response
Click to show sample response
[
{
"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",
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"locations": [
{
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"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
}
]
},
{
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"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",
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"size": 9170974,
"locations": [
{
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"maxSize": 300000000000,
"type": "historical",
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"priority": 0
}
]
},
{
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"version": "2023-07-06T00:02:08.498Z",
"partitionNumber": 1,
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"locations": [
{
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"type": "historical",
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"priority": 0
}
]
},
{
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"version": "2023-07-06T01:13:53.982Z",
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"locations": [
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"type": "historical",
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"locations": [
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]
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{
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{
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"locations": [
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{
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"locations": [
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{
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}
]
}
]