mirror of https://github.com/apache/druid.git
JSON-querying API documentation refactor (#14589)
Co-authored-by: Jill Osborne <jill.osborne@imply.io> Co-authored-by: Victoria Lim <vtlim@users.noreply.github.com>
This commit is contained in:
Nhi Pham
GitHub
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commit
53733d2542
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@ -23,14 +23,876 @@ sidebar_label: JSON querying
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~ under the License.
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-->
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This document describes the API endpoints to submit JSON-based [native queries](../querying/querying.md) to Apache Druid.
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This topic describes the API endpoints to submit JSON-based [native queries](../querying/querying.md) to Apache Druid.
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## Queries
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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`.
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`POST /druid/v2/`
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The endpoint for submitting queries. Accepts an option `?pretty` that pretty prints the results.
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## Submit a query
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`POST /druid/v2/candidates/`
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Submits a JSON-based native query. The body of the request is the native query itself.
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Returns segment information lists including server locations for the given query.
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Druid supports different types of queries for different use cases. All queries require the following properties:
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* `queryType`: A string representing the type of query. Druid supports the following native query types: `timeseries`, `topN`, `groupBy`, `timeBoundaries`, `segmentMetadata`, `datasourceMetadata`, `scan`, and `search`.
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* `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).
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For additional properties based on your query type or use case, see [available native queries](../querying/querying.md#available-queries).
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### URL
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<code class="postAPI">POST</code> <code>/druid/v2/</code>
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### Query parameters
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* `pretty` (optional)
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* Druid returns the response in a pretty-printed format using indentation and line breaks.
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### Responses
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<!--DOCUSAURUS_CODE_TABS-->
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<!--200 SUCCESS-->
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*Successfully submitted query*
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<!--400 BAD REQUEST-->
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*Error thrown due to bad query. Returns a JSON object detailing the error with the following format:*
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```json
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{
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"error": "A well-defined error code.",
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"errorMessage": "A message with additional details about the error.",
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"errorClass": "Class of exception that caused this error.",
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"host": "The host on which the error occurred."
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}
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```
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For more information on possible error messages, see [query execution failures](../querying/querying.md#query-execution-failures).
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<!--END_DOCUSAURUS_CODE_TABS-->
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---
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### Example query: `topN`
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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.
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<!--DOCUSAURUS_CODE_TABS-->
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<!--cURL-->
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```shell
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curl "http://ROUTER_IP:ROUTER_PORT/druid/v2?pretty=null" \
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--header 'Content-Type: application/json' \
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--data '{
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"queryType": "topN",
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"dataSource": "social_media",
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"dimension": "username",
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"threshold": 5,
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"metric": "views",
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"granularity": "all",
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"aggregations": [
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{
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"type": "longSum",
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"name": "views",
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"fieldName": "views"
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}
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],
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"intervals": [
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"2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"
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]
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}'
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```
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<!--HTTP-->
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```HTTP
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POST /druid/v2?pretty=null HTTP/1.1
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Host: http://ROUTER_IP:ROUTER_PORT
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Content-Type: application/json
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Content-Length: 336
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{
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"queryType": "topN",
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"dataSource": "social_media",
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"dimension": "username",
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"threshold": 5,
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"metric": "views",
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"granularity": "all",
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"aggregations": [
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{
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"type": "longSum",
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"name": "views",
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"fieldName": "views"
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}
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],
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"intervals": [
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"2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"
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]
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}
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```
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<!--END_DOCUSAURUS_CODE_TABS-->
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#### Example response: `topN`
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<details>
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<summary>Click to show sample response</summary>
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```json
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[
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{
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"timestamp": "2023-07-03T18:49:54.848Z",
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"result": [
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{
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"views": 11591218026,
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"username": "gus"
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},
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{
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"views": 11578638578,
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"username": "miette"
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},
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{
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"views": 11561618880,
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"username": "leon"
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},
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{
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"views": 11552609824,
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"username": "mia"
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},
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{
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"views": 11551537517,
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"username": "milton"
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}
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]
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}
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]
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```
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</details>
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### Example query: `groupBy`
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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.
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In this query:
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* The `upvoteSum` aggregation calculates the sum of the `upvotes` for each user.
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* The `postCount` aggregation calculates the sum of posts for each user.
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* The `upvoteToPostRatio` is a post-aggregation of the `upvoteSum` and the `postCount`, divided to calculate the ratio.
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* The result is sorted based on the `upvoteToPostRatio` in descending order.
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<!--DOCUSAURUS_CODE_TABS-->
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<!--cURL-->
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```shell
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curl "http://ROUTER_IP:ROUTER_PORT/druid/v2" \
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--header 'Content-Type: application/json' \
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--data '{
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"queryType": "groupBy",
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"dataSource": "social_media",
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"dimensions": ["username"],
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"granularity": "all",
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"aggregations": [
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{ "type": "doubleSum", "name": "upvoteSum", "fieldName": "upvotes" },
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{ "type": "count", "name": "postCount", "fieldName": "post_title" }
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],
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"postAggregations": [
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{
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"type": "arithmetic",
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"name": "upvoteToPostRatio",
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"fn": "/",
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"fields": [
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{ "type": "fieldAccess", "name": "upvoteSum", "fieldName": "upvoteSum" },
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{ "type": "fieldAccess", "name": "postCount", "fieldName": "postCount" }
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]
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}
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],
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"intervals": ["2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"],
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"limitSpec": {
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"type": "default",
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"limit": 1,
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"columns": [
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{ "dimension": "upvoteToPostRatio", "direction": "descending" }
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]
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}
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}'
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```
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<!--HTTP-->
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```HTTP
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POST /druid/v2?pretty=null HTTP/1.1
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Host: http://ROUTER_IP:ROUTER_PORT
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Content-Type: application/json
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Content-Length: 817
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{
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"queryType": "groupBy",
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"dataSource": "social_media",
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"dimensions": ["username"],
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"granularity": "all",
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"aggregations": [
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{ "type": "doubleSum", "name": "upvoteSum", "fieldName": "upvotes" },
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{ "type": "count", "name": "postCount", "fieldName": "post_title" }
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],
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"postAggregations": [
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{
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"type": "arithmetic",
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"name": "upvoteToPostRatio",
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"fn": "/",
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"fields": [
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{ "type": "fieldAccess", "name": "upvoteSum", "fieldName": "upvoteSum" },
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{ "type": "fieldAccess", "name": "postCount", "fieldName": "postCount" }
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]
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}
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],
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"intervals": ["2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"],
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"limitSpec": {
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"type": "default",
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"limit": 1,
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"columns": [
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{ "dimension": "upvoteToPostRatio", "direction": "descending" }
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]
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}
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}
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```
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<!--END_DOCUSAURUS_CODE_TABS-->
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#### Example response: `groupBy`
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<details>
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<summary>Click to show sample response</summary>
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```json
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[
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{
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"version": "v1",
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"timestamp": "2022-01-01T00:00:00.000Z",
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"event": {
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"upvoteSum": 8.0419541E7,
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"upvoteToPostRatio": 69.53014661762697,
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"postCount": 1156614,
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"username": "miette"
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}
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}
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]
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```
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</details>
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## Get segment information for query
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Retrieves an array that contains objects with segment information, including the server locations associated with the query provided in the request body.
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### URL
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<code class="postAPI">POST</code> <code>/druid/v2/candidates/</code>
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### Query parameters
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* `pretty` (optional)
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* Druid returns the response in a pretty-printed format using indentation and line breaks.
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### Responses
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<!--DOCUSAURUS_CODE_TABS-->
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<!--200 SUCCESS-->
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*Successfully retrieved segment information*
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<!--400 BAD REQUEST-->
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*Error thrown due to bad query. Returns a JSON object detailing the error with the following format:*
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```json
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{
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"error": "A well-defined error code.",
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"errorMessage": "A message with additional details about the error.",
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"errorClass": "Class of exception that caused this error.",
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"host": "The host on which the error occurred."
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}
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```
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For more information on possible error messages, see [query execution failures](../querying/querying.md#query-execution-failures).
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<!--END_DOCUSAURUS_CODE_TABS-->
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---
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### Sample request
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<!--DOCUSAURUS_CODE_TABS-->
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<!--cURL-->
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```shell
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curl "http://ROUTER_IP:ROUTER_PORT/druid/v2/candidates" \
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--header 'Content-Type: application/json' \
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--data '{
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"queryType": "topN",
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"dataSource": "social_media",
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"dimension": "username",
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"threshold": 5,
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"metric": "views",
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"granularity": "all",
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"aggregations": [
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{
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"type": "longSum",
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"name": "views",
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"fieldName": "views"
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}
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],
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"intervals": [
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"2022-01-01T00:00:00.000/2024-01-01T00:00:00.000"
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]
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}'
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```
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<!--HTTP-->
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```HTTP
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POST /druid/v2/candidates HTTP/1.1
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Host: http://ROUTER_IP:ROUTER_PORT
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Content-Type: application/json
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Content-Length: 336
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{
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"queryType": "topN",
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"dataSource": "social_media",
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"dimension": "username",
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"threshold": 5,
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"metric": "views",
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"granularity": "all",
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"aggregations": [
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{
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"type": "longSum",
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"name": "views",
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"fieldName": "views"
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}
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],
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"intervals": [
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"2020-01-01T00:00:00.000/2024-01-01T00:00:00.000"
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]
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}
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```
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<!--END_DOCUSAURUS_CODE_TABS-->
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### Sample response
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<details>
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<summary>Click to show sample response</summary>
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```json
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[
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{
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"interval": "2023-07-03T18:00:00.000Z/2023-07-03T19:00:00.000Z",
|
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"version": "2023-07-03T18:51:18.905Z",
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"partitionNumber": 0,
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"size": 21563693,
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"locations": [
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{
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"name": "localhost:8083",
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"host": "localhost:8083",
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"hostAndTlsPort": null,
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"maxSize": 300000000000,
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"type": "historical",
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"tier": "_default_tier",
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"priority": 0
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}
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]
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},
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{
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"interval": "2023-07-03T19:00:00.000Z/2023-07-03T20:00:00.000Z",
|
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"version": "2023-07-03T19:00:00.657Z",
|
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"partitionNumber": 0,
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"size": 6057236,
|
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"locations": [
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{
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"name": "localhost:8083",
|
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"host": "localhost:8083",
|
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"hostAndTlsPort": null,
|
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"maxSize": 300000000000,
|
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"type": "historical",
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"tier": "_default_tier",
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"priority": 0
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}
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]
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},
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{
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"interval": "2023-07-05T21:00:00.000Z/2023-07-05T22:00:00.000Z",
|
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"version": "2023-07-05T21:09:58.102Z",
|
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"partitionNumber": 0,
|
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"size": 223926186,
|
||||
"locations": [
|
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{
|
||||
"name": "localhost:8083",
|
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"host": "localhost:8083",
|
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"hostAndTlsPort": null,
|
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"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
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"interval": "2023-07-06T00:00:00.000Z/2023-07-06T01:00:00.000Z",
|
||||
"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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|
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}
|
||||
]
|
||||
}
|
||||
]
|
||||
```
|
||||
</details>
|
||||
Loading…
Reference in New Issue