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---
id: api
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title: SQL-based ingestion and multi-stage query task API
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sidebar_label: API
---
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> This page describes SQL-based batch ingestion using the [`druid-multi-stage-query`](../multi-stage-query/index.md)
> extension, new in Druid 24.0. Refer to the [ingestion methods](../ingestion/index.md#batch) table to determine which
> ingestion method is right for you.
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The **Query** view in the web console provides a friendly experience for the multi-stage query task engine (MSQ task
engine) and multi-stage query architecture. We recommend using the web console if you do not need a programmatic
interface.
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When using the API for the MSQ task engine, the action you want to take determines the endpoint you use:
- `/druid/v2/sql/task` endpoint: Submit a query for ingestion.
- `/druid/indexer/v1/task` endpoint: Interact with a query, including getting its status, getting its details, or canceling it. This page describes a few of the Overlord Task APIs that you can use with the MSQ task engine. For information about Druid APIs, see the [API reference for Druid ](../operations/api-reference.md#tasks ).
## Submit a query
You submit queries to the MSQ task engine using the `POST /druid/v2/sql/task/` endpoint.
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#### Request
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Currently, the MSQ task engine ignores the provided values of `resultFormat` , `header` ,
`typesHeader` , and `sqlTypesHeader` . SQL SELECT queries write out their results into the task report (in the `multiStageQuery.payload.results.results` key) formatted as if `resultFormat` is an `array` .
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For task queries similar to the [example queries ](./examples.md ), you need to escape characters such as quotation marks (") if you use something like `curl` .
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You don't need to escape characters if you use a method that can parse JSON seamlessly, such as Python.
The Python example in this topic escapes quotation marks although it's not required.
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The following example is the same query that you submit when you complete [Convert a JSON ingestion
spec](../tutorials/tutorial-msq-convert-spec.md) where you insert data into a table named `wikipedia` .
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<!-- DOCUSAURUS_CODE_TABS -->
<!-- HTTP -->
```
POST /druid/v2/sql/task
```
```json
{
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"query": "INSERT INTO wikipedia\nSELECT\n TIME_PARSE(\"timestamp\") AS __time,\n *\nFROM TABLE(\n EXTERN(\n '{\"type\": \"http\", \"uris\": [\"https://druid.apache.org/data/wikipedia.json.gz\"]}',\n '{\"type\": \"json\"}',\n '[{\"name\": \"added\", \"type\": \"long\"}, {\"name\": \"channel\", \"type\": \"string\"}, {\"name\": \"cityName\", \"type\": \"string\"}, {\"name\": \"comment\", \"type\": \"string\"}, {\"name\": \"commentLength\", \"type\": \"long\"}, {\"name\": \"countryIsoCode\", \"type\": \"string\"}, {\"name\": \"countryName\", \"type\": \"string\"}, {\"name\": \"deleted\", \"type\": \"long\"}, {\"name\": \"delta\", \"type\": \"long\"}, {\"name\": \"deltaBucket\", \"type\": \"string\"}, {\"name\": \"diffUrl\", \"type\": \"string\"}, {\"name\": \"flags\", \"type\": \"string\"}, {\"name\": \"isAnonymous\", \"type\": \"string\"}, {\"name\": \"isMinor\", \"type\": \"string\"}, {\"name\": \"isNew\", \"type\": \"string\"}, {\"name\": \"isRobot\", \"type\": \"string\"}, {\"name\": \"isUnpatrolled\", \"type\": \"string\"}, {\"name\": \"metroCode\", \"type\": \"string\"}, {\"name\": \"namespace\", \"type\": \"string\"}, {\"name\": \"page\", \"type\": \"string\"}, {\"name\": \"regionIsoCode\", \"type\": \"string\"}, {\"name\": \"regionName\", \"type\": \"string\"}, {\"name\": \"timestamp\", \"type\": \"string\"}, {\"name\": \"user\", \"type\": \"string\"}]'\n )\n)\nPARTITIONED BY DAY",
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"context": {
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"maxNumTasks": 3
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}
}
```
<!-- curl -->
```bash
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# Make sure you replace `username`, `password`, `your-instance`, and `port` with the values for your deployment.
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curl --location --request POST 'https://< username > :< password > @< your-instance > :< port > /druid/v2/sql/task/' \
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--header 'Content-Type: application/json' \
--data-raw '{
"query": "INSERT INTO wikipedia\nSELECT\n TIME_PARSE(\"timestamp\") AS __time,\n *\nFROM TABLE(\n EXTERN(\n '\''{\"type\": \"http\", \"uris\": [\"https://druid.apache.org/data/wikipedia.json.gz\"]}'\'',\n '\''{\"type\": \"json\"}'\'',\n '\''[{\"name\": \"added\", \"type\": \"long\"}, {\"name\": \"channel\", \"type\": \"string\"}, {\"name\": \"cityName\", \"type\": \"string\"}, {\"name\": \"comment\", \"type\": \"string\"}, {\"name\": \"commentLength\", \"type\": \"long\"}, {\"name\": \"countryIsoCode\", \"type\": \"string\"}, {\"name\": \"countryName\", \"type\": \"string\"}, {\"name\": \"deleted\", \"type\": \"long\"}, {\"name\": \"delta\", \"type\": \"long\"}, {\"name\": \"deltaBucket\", \"type\": \"string\"}, {\"name\": \"diffUrl\", \"type\": \"string\"}, {\"name\": \"flags\", \"type\": \"string\"}, {\"name\": \"isAnonymous\", \"type\": \"string\"}, {\"name\": \"isMinor\", \"type\": \"string\"}, {\"name\": \"isNew\", \"type\": \"string\"}, {\"name\": \"isRobot\", \"type\": \"string\"}, {\"name\": \"isUnpatrolled\", \"type\": \"string\"}, {\"name\": \"metroCode\", \"type\": \"string\"}, {\"name\": \"namespace\", \"type\": \"string\"}, {\"name\": \"page\", \"type\": \"string\"}, {\"name\": \"regionIsoCode\", \"type\": \"string\"}, {\"name\": \"regionName\", \"type\": \"string\"}, {\"name\": \"timestamp\", \"type\": \"string\"}, {\"name\": \"user\", \"type\": \"string\"}]'\''\n )\n)\nPARTITIONED BY DAY",
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"context": {
"maxNumTasks": 3
}
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}'
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```
<!-- Python -->
```python
import json
import requests
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# Make sure you replace `username`, `password`, `your-instance`, and `port` with the values for your deployment.
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url = "https://< username > :< password > @< your-instance > :< port > /druid/v2/sql/task/"
payload = json.dumps({
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"query": "INSERT INTO wikipedia\nSELECT\n TIME_PARSE(\"timestamp\") AS __time,\n *\nFROM TABLE(\n EXTERN(\n '{\"type\": \"http\", \"uris\": [\"https://druid.apache.org/data/wikipedia.json.gz\"]}',\n '{\"type\": \"json\"}',\n '[{\"name\": \"added\", \"type\": \"long\"}, {\"name\": \"channel\", \"type\": \"string\"}, {\"name\": \"cityName\", \"type\": \"string\"}, {\"name\": \"comment\", \"type\": \"string\"}, {\"name\": \"commentLength\", \"type\": \"long\"}, {\"name\": \"countryIsoCode\", \"type\": \"string\"}, {\"name\": \"countryName\", \"type\": \"string\"}, {\"name\": \"deleted\", \"type\": \"long\"}, {\"name\": \"delta\", \"type\": \"long\"}, {\"name\": \"deltaBucket\", \"type\": \"string\"}, {\"name\": \"diffUrl\", \"type\": \"string\"}, {\"name\": \"flags\", \"type\": \"string\"}, {\"name\": \"isAnonymous\", \"type\": \"string\"}, {\"name\": \"isMinor\", \"type\": \"string\"}, {\"name\": \"isNew\", \"type\": \"string\"}, {\"name\": \"isRobot\", \"type\": \"string\"}, {\"name\": \"isUnpatrolled\", \"type\": \"string\"}, {\"name\": \"metroCode\", \"type\": \"string\"}, {\"name\": \"namespace\", \"type\": \"string\"}, {\"name\": \"page\", \"type\": \"string\"}, {\"name\": \"regionIsoCode\", \"type\": \"string\"}, {\"name\": \"regionName\", \"type\": \"string\"}, {\"name\": \"timestamp\", \"type\": \"string\"}, {\"name\": \"user\", \"type\": \"string\"}]'\n )\n)\nPARTITIONED BY DAY",
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"context": {
"maxNumTasks": 3
}
})
headers = {
'Content-Type': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
```
<!-- END_DOCUSAURUS_CODE_TABS -->
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#### Response
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```json
{
"taskId": "query-f795a235-4dc7-4fef-abac-3ae3f9686b79",
"state": "RUNNING",
}
```
**Response fields**
|Field|Description|
|-----|-----------|
| taskId | Controller task ID. You can use Druid's standard [task APIs ](../operations/api-reference.md#overlord ) to interact with this controller task.|
| state | Initial state for the query, which is "RUNNING".|
## Get the status for a query task
You can retrieve status of a query to see if it is still running, completed successfully, failed, or got canceled.
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#### Request
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<!-- DOCUSAURUS_CODE_TABS -->
<!-- HTTP -->
```
GET /druid/indexer/v1/task/< taskId >
```
<!-- curl -->
```bash
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# Make sure you replace `username`, `password`, `your-instance`, `port`, and `taskId` with the values for your deployment.
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curl --location --request GET 'https://< username > :< password > @< hostname > :< port > /druid/indexer/v1/task/< taskId > /status'
```
<!-- Python -->
```python
import requests
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# Make sure you replace `username`, `password`, `your-instance`, `port`, and `taskId` with the values for your deployment.
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url = "https://< username > :< password > @< hostname > :< port > /druid/indexer/v1/task/< taskId > /status"
payload={}
headers = {}
response = requests.request("GET", url, headers=headers, data=payload)
print(response.text)
```
<!-- END_DOCUSAURUS_CODE_TABS -->
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#### Response
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```
{
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"task": "query-3dc0c45d-34d7-4b15-86c9-cdb2d3ebfc4e",
"status": {
"id": "query-3dc0c45d-34d7-4b15-86c9-cdb2d3ebfc4e",
"groupId": "query-3dc0c45d-34d7-4b15-86c9-cdb2d3ebfc4e",
"type": "query_controller",
"createdTime": "2022-09-14T22:12:00.183Z",
"queueInsertionTime": "1970-01-01T00:00:00.000Z",
"statusCode": "RUNNING",
"status": "RUNNING",
"runnerStatusCode": "RUNNING",
"duration": -1,
"location": {
"host": "localhost",
"port": 8100,
"tlsPort": -1
},
"dataSource": "kttm_simple",
"errorMsg": null
}
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}
```
## Get the report for a query task
A report provides detailed information about a query task, including things like the stages, warnings, and errors.
Keep the following in mind when using the task API to view reports:
- For SELECT queries, the report includes the results. At this time, if you want to view results for SELECT queries, you need to retrieve them as a generic map from the report and extract the results.
- The task report stores query details for controller tasks.
- If you encounter `500 Server Error` or `404 Not Found` errors, the task may be in the process of starting up or shutting down.
For an explanation of the fields in a report, see [Report response fields ](#report-response-fields ).
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#### Request
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<!-- DOCUSAURUS_CODE_TABS -->
<!-- HTTP -->
```
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GET /druid/indexer/v1/task/< taskId > /reports
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```
<!-- curl -->
```bash
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# Make sure you replace `username`, `password`, `your-instance`, `port`, and `taskId` with the values for your deployment.
curl --location --request GET 'https://< username > :< password > @< hostname > :< port > /druid/indexer/v1/task/< taskId > /reports'
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```
<!-- Python -->
```python
import requests
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# Make sure you replace `username`, `password`, `your-instance`, `port`, and `taskId` with the values for your deployment.
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url = "https://< username > :< password > @< hostname > :< port > /druid/indexer/v1/task/< taskId > /reports"
payload={}
headers = {}
response = requests.request("GET", url, headers=headers, data=payload)
print(response.text)
```
<!-- END_DOCUSAURUS_CODE_TABS -->
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#### Response
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The response shows an example report for a query.
< details > < summary > Show the response< / summary >
```json
{
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"multiStageQuery": {
"type": "multiStageQuery",
"taskId": "query-3dc0c45d-34d7-4b15-86c9-cdb2d3ebfc4e",
"payload": {
"status": {
"status": "SUCCESS",
"startTime": "2022-09-14T22:12:09.266Z",
"durationMs": 28227
},
"stages": [
{
"stageNumber": 0,
"definition": {
"id": "71ecb11e-09d7-42f8-9225-1662c8e7e121_0",
"input": [
{
"type": "external",
"inputSource": {
"type": "http",
"uris": [
"https://static.imply.io/example-data/kttm-v2/kttm-v2-2019-08-25.json.gz"
],
"httpAuthenticationUsername": null,
"httpAuthenticationPassword": null
},
"inputFormat": {
"type": "json",
"flattenSpec": null,
"featureSpec": {},
"keepNullColumns": false
},
"signature": [
{
"name": "timestamp",
"type": "STRING"
},
{
"name": "agent_category",
"type": "STRING"
},
{
"name": "agent_type",
"type": "STRING"
}
]
}
],
"processor": {
"type": "scan",
"query": {
"queryType": "scan",
"dataSource": {
"type": "inputNumber",
"inputNumber": 0
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},
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"intervals": {
"type": "intervals",
"intervals": [
"-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"
]
},
"resultFormat": "compactedList",
"columns": [
"agent_category",
"agent_type",
"timestamp"
],
"legacy": false,
"context": {
"finalize": false,
"finalizeAggregations": false,
"groupByEnableMultiValueUnnesting": false,
"scanSignature": "[{\"name\":\"agent_category\",\"type\":\"STRING\"},{\"name\":\"agent_type\",\"type\":\"STRING\"},{\"name\":\"timestamp\",\"type\":\"STRING\"}]",
"sqlInsertSegmentGranularity": "{\"type\":\"all\"}",
"sqlQueryId": "3dc0c45d-34d7-4b15-86c9-cdb2d3ebfc4e",
"sqlReplaceTimeChunks": "all"
},
"granularity": {
"type": "all"
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}
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}
},
"signature": [
{
"name": "__boost",
"type": "LONG"
},
{
"name": "agent_category",
"type": "STRING"
},
{
"name": "agent_type",
"type": "STRING"
},
{
"name": "timestamp",
"type": "STRING"
}
],
"shuffleSpec": {
"type": "targetSize",
"clusterBy": {
"columns": [
{
"columnName": "__boost"
}
]
},
"targetSize": 3000000
},
"maxWorkerCount": 1,
"shuffleCheckHasMultipleValues": true
},
"phase": "FINISHED",
"workerCount": 1,
"partitionCount": 1,
"startTime": "2022-09-14T22:12:11.663Z",
"duration": 19965,
"sort": true
},
{
"stageNumber": 1,
"definition": {
"id": "71ecb11e-09d7-42f8-9225-1662c8e7e121_1",
"input": [
{
"type": "stage",
"stage": 0
}
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],
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"processor": {
"type": "segmentGenerator",
"dataSchema": {
"dataSource": "kttm_simple",
"timestampSpec": {
"column": "__time",
"format": "millis",
"missingValue": null
},
"dimensionsSpec": {
"dimensions": [
{
"type": "string",
"name": "timestamp",
"multiValueHandling": "SORTED_ARRAY",
"createBitmapIndex": true
},
{
"type": "string",
"name": "agent_category",
"multiValueHandling": "SORTED_ARRAY",
"createBitmapIndex": true
},
{
"type": "string",
"name": "agent_type",
"multiValueHandling": "SORTED_ARRAY",
"createBitmapIndex": true
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}
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],
"dimensionExclusions": [
"__time"
],
"includeAllDimensions": false
},
"metricsSpec": [],
"granularitySpec": {
"type": "arbitrary",
"queryGranularity": {
"type": "none"
},
"rollup": false,
"intervals": [
"-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"
]
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},
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"transformSpec": {
"filter": null,
"transforms": []
}
},
"columnMappings": [
{
"queryColumn": "timestamp",
"outputColumn": "timestamp"
},
{
"queryColumn": "agent_category",
"outputColumn": "agent_category"
},
{
"queryColumn": "agent_type",
"outputColumn": "agent_type"
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}
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],
"tuningConfig": {
"maxNumWorkers": 1,
"maxRowsInMemory": 100000,
"rowsPerSegment": 3000000
}
},
"signature": [],
"maxWorkerCount": 1
},
"phase": "FINISHED",
"workerCount": 1,
"partitionCount": 1,
"startTime": "2022-09-14T22:12:31.602Z",
"duration": 5891
}
],
"counters": {
"0": {
"0": {
"input0": {
"type": "channel",
"rows": [
465346
],
"files": [
1
],
"totalFiles": [
1
]
},
"output": {
"type": "channel",
"rows": [
465346
],
"bytes": [
43694447
],
"frames": [
7
]
},
"shuffle": {
"type": "channel",
"rows": [
465346
],
"bytes": [
41835307
],
"frames": [
73
]
},
"sortProgress": {
"type": "sortProgress",
"totalMergingLevels": 3,
"levelToTotalBatches": {
"0": 1,
"1": 1,
"2": 1
},
"levelToMergedBatches": {
"0": 1,
"1": 1,
"2": 1
},
"totalMergersForUltimateLevel": 1,
"progressDigest": 1
}
}
},
"1": {
"0": {
"input0": {
"type": "channel",
"rows": [
465346
],
"bytes": [
41835307
],
"frames": [
73
]
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}
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}
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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 >
< a name = "report-response-fields" > < / a >
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The following table describes the response fields when you retrieve a report for a MSQ task engine using the `/druid/indexer/v1/task/<taskId>/reports` endpoint:
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|Field|Description|
|-----|-----------|
|multiStageQuery.taskId|Controller task ID.|
|multiStageQuery.payload.status|Query status container.|
|multiStageQuery.payload.status.status|RUNNING, SUCCESS, or FAILED.|
|multiStageQuery.payload.status.startTime|Start time of the query in ISO format. Only present if the query has started running.|
|multiStageQuery.payload.status.durationMs|Milliseconds elapsed after the query has started running. -1 denotes that the query hasn't started running yet.|
|multiStageQuery.payload.status.errorReport|Error object. Only present if there was an error.|
|multiStageQuery.payload.status.errorReport.taskId|The task that reported the error, if known. May be a controller task or a worker task.|
|multiStageQuery.payload.status.errorReport.host|The hostname and port of the task that reported the error, if known.|
|multiStageQuery.payload.status.errorReport.stageNumber|The stage number that reported the error, if it happened during execution of a specific stage.|
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|multiStageQuery.payload.status.errorReport.error|Error object. Contains `errorCode` at a minimum, and may contain other fields as described in the [error code table ](./reference.md#error-codes ). Always present if there is an error.|
|multiStageQuery.payload.status.errorReport.error.errorCode|One of the error codes from the [error code table ](./reference.md#error-codes ). Always present if there is an error.|
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|multiStageQuery.payload.status.errorReport.error.errorMessage|User-friendly error message. Not always present, even if there is an error.|
|multiStageQuery.payload.status.errorReport.exceptionStackTrace|Java stack trace in string form, if the error was due to a server-side exception.|
|multiStageQuery.payload.stages|Array of query stages.|
|multiStageQuery.payload.stages[].stageNumber|Each stage has a number that differentiates it from other stages.|
|multiStageQuery.payload.stages[].phase|Either NEW, READING_INPUT, POST_READING, RESULTS_COMPLETE, or FAILED. Only present if the stage has started.|
|multiStageQuery.payload.stages[].workerCount|Number of parallel tasks that this stage is running on. Only present if the stage has started.|
|multiStageQuery.payload.stages[].partitionCount|Number of output partitions generated by this stage. Only present if the stage has started and has computed its number of output partitions.|
|multiStageQuery.payload.stages[].startTime|Start time of this stage. Only present if the stage has started.|
|multiStageQuery.payload.stages[].duration|The number of milliseconds that the stage has been running. Only present if the stage has started.|
|multiStageQuery.payload.stages[].sort|A boolean that is set to `true` if the stage does a sort as part of its execution.|
|multiStageQuery.payload.stages[].definition|The object defining what the stage does.|
|multiStageQuery.payload.stages[].definition.id|The unique identifier of the stage.|
|multiStageQuery.payload.stages[].definition.input|Array of inputs that the stage has.|
|multiStageQuery.payload.stages[].definition.broadcast|Array of input indexes that get broadcasted. Only present if there are inputs that get broadcasted.|
|multiStageQuery.payload.stages[].definition.processor|An object defining the processor logic.|
|multiStageQuery.payload.stages[].definition.signature|The output signature of the stage.|
## Cancel a query task
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#### Request
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<!-- DOCUSAURUS_CODE_TABS -->
<!-- HTTP -->
```
POST /druid/indexer/v1/task/< taskId > /shutdown
```
<!-- curl -->
```bash
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# Make sure you replace `username`, `password`, `your-instance`, `port`, and `taskId` with the values for your deployment.
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curl --location --request POST 'https://< username > :< password > @< your-instance > :< port > /druid/indexer/v1/task/< taskId > /shutdown'
```
<!-- Python -->
```
import requests
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# Make sure you replace `username`, `password`, `your-instance`, `port`, and `taskId` with the values for your deployment.
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url = "https://< username > :< password > @< your-instance > :< port > /druid/indexer/v1/task/< taskId > /shutdown"
payload={}
headers = {}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
```
<!-- END_DOCUSAURUS_CODE_TABS -->
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#### Response
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```
{
"task": "query-655efe33-781a-4c50-ae84-c2911b42d63c"
}
```
