mirror of https://github.com/apache/druid.git
924 lines
25 KiB
Markdown
924 lines
25 KiB
Markdown
---
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id: json-querying-api
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title: JSON querying API
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sidebar_label: JSON querying
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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<!--
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~ Licensed to the Apache Software Foundation (ASF) under one
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~ or more contributor license agreements. See the NOTICE file
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~ distributed with this work for additional information
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~ regarding copyright ownership. The ASF licenses this file
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~ to you under the Apache License, Version 2.0 (the
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~ "License"); you may not use this file except in compliance
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~ with the License. You may obtain a copy of the License at
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~
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~ http://www.apache.org/licenses/LICENSE-2.0
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~
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~ Unless required by applicable law or agreed to in writing,
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~ software distributed under the License is distributed on an
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~ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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~ KIND, either express or implied. See the License for the
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~ specific language governing permissions and limitations
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~ under the License.
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-->
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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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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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## Submit a query
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Submits a JSON-based native query. The body of the request is the native query itself.
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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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<Tabs>
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<TabItem value="1" label="200 SUCCESS">
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*Successfully submitted query*
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</TabItem>
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<TabItem value="2" label="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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</TabItem>
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</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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<Tabs>
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<TabItem value="3" label="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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</TabItem>
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<TabItem value="4" label="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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</TabItem>
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</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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<Tabs>
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<TabItem value="5" label="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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</TabItem>
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<TabItem value="6" label="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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</TabItem>
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</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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<Tabs>
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<TabItem value="7" label="200 SUCCESS">
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*Successfully retrieved segment information*
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</TabItem>
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<TabItem value="8" label="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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</TabItem>
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</Tabs>
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---
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### Sample request
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<Tabs>
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<TabItem value="9" label="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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</TabItem>
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<TabItem value="10" label="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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</TabItem>
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</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,
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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": 1,
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"size": 20244827,
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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": "2023-07-05T22:00:00.000Z/2023-07-05T23:00:00.000Z",
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"version": "2023-07-05T22:00:00.524Z",
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"partitionNumber": 0,
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"size": 104628051,
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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": "2023-07-05T22:00:00.000Z/2023-07-05T23:00:00.000Z",
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"version": "2023-07-05T22:00:00.524Z",
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"partitionNumber": 1,
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"size": 1603995,
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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": "2023-07-05T23:00:00.000Z/2023-07-06T00:00:00.000Z",
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"version": "2023-07-05T23:21:55.242Z",
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"partitionNumber": 0,
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"size": 181506843,
|
|
"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": "2023-07-06T00:00:00.000Z/2023-07-06T01:00:00.000Z",
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"version": "2023-07-06T00:02:08.498Z",
|
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"partitionNumber": 0,
|
|
"size": 9170974,
|
|
"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,
|
|
"maxSize": 300000000000,
|
|
"type": "historical",
|
|
"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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"interval": "2023-07-06T00:00:00.000Z/2023-07-06T01:00:00.000Z",
|
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"version": "2023-07-06T00:02:08.498Z",
|
|
"partitionNumber": 1,
|
|
"size": 23969632,
|
|
"locations": [
|
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{
|
|
"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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},
|
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{
|
|
"interval": "2023-07-06T01:00:00.000Z/2023-07-06T02:00:00.000Z",
|
|
"version": "2023-07-06T01:13:53.982Z",
|
|
"partitionNumber": 0,
|
|
"size": 599895,
|
|
"locations": [
|
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{
|
|
"name": "localhost:8083",
|
|
"host": "localhost:8083",
|
|
"hostAndTlsPort": null,
|
|
"maxSize": 300000000000,
|
|
"type": "historical",
|
|
"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": "2023-07-06T01:00:00.000Z/2023-07-06T02:00:00.000Z",
|
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"version": "2023-07-06T01:13:53.982Z",
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"partitionNumber": 1,
|
|
"size": 1627041,
|
|
"locations": [
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{
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"name": "localhost:8083",
|
|
"host": "localhost:8083",
|
|
"hostAndTlsPort": null,
|
|
"maxSize": 300000000000,
|
|
"type": "historical",
|
|
"tier": "_default_tier",
|
|
"priority": 0
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"interval": "2023-07-06T02:00:00.000Z/2023-07-06T03:00:00.000Z",
|
|
"version": "2023-07-06T02:55:50.701Z",
|
|
"partitionNumber": 0,
|
|
"size": 629753,
|
|
"locations": [
|
|
{
|
|
"name": "localhost:8083",
|
|
"host": "localhost:8083",
|
|
"hostAndTlsPort": null,
|
|
"maxSize": 300000000000,
|
|
"type": "historical",
|
|
"tier": "_default_tier",
|
|
"priority": 0
|
|
}
|
|
]
|
|
},
|
|
{
|
|
"interval": "2023-07-06T02:00:00.000Z/2023-07-06T03:00:00.000Z",
|
|
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]
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}
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]
|
|
```
|
|
</details>
|