--- id: sql-ingestion-api title: SQL-based ingestion API sidebar_label: SQL-based ingestion --- import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; :::info 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. ::: 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. 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](../ingestion/tasks.md). ## Submit a query You submit queries to the MSQ task engine using the `POST /druid/v2/sql/task/` endpoint. #### Request The SQL task endpoint accepts [SQL requests in the JSON-over-HTTP form](sql-api.md#request-body) using the `query`, `context`, and `parameters` fields, but ignoring the `resultFormat`, `header`, `typesHeader`, and `sqlTypesHeader` fields. This endpoint accepts [INSERT](../multi-stage-query/reference.md#insert) and [REPLACE](../multi-stage-query/reference.md#replace) statements. As an experimental feature, this endpoint also accepts SELECT queries. SELECT query results are collected from workers by the controller, and written into the [task report](#get-the-report-for-a-query-task) as an array of arrays. The behavior and result format of plain SELECT queries (without INSERT or REPLACE) is subject to change. ``` POST /druid/v2/sql/task ``` ```json { "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", "context": { "maxNumTasks": 3 } } ``` ```bash # Make sure you replace `username`, `password`, `your-instance`, and `port` with the values for your deployment. curl --location --request POST 'https://:@:/druid/v2/sql/task/' \ --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", "context": { "maxNumTasks": 3 } }' ``` ```python import json import requests # Make sure you replace `your-instance`, and `port` with the values for your deployment. url = "https://:/druid/v2/sql/task/" payload = json.dumps({ "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", "context": { "maxNumTasks": 3 } }) headers = { 'Content-Type': 'application/json' } response = requests.post(url, headers=headers, data=payload, auth=('USER', 'PASSWORD')) print(response.text) ``` #### Response ```json { "taskId": "query-f795a235-4dc7-4fef-abac-3ae3f9686b79", "state": "RUNNING", } ``` **Response fields** | Field | Description | |---|---| | `taskId` | Controller task ID. You can use Druid's standard [Tasks API](./tasks-api.md) 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. #### Request ``` GET /druid/indexer/v1/task//status ``` ```bash # Make sure you replace `username`, `password`, `your-instance`, `port`, and `taskId` with the values for your deployment. curl --location --request GET 'https://:@:/druid/indexer/v1/task//status' ``` ```python import requests # Make sure you replace `your-instance`, `port`, and `taskId` with the values for your deployment. url = "https://:/druid/indexer/v1/task//status" payload={} headers = {} response = requests.get(url, headers=headers, data=payload, auth=('USER', 'PASSWORD')) print(response.text) ``` #### Response ``` { "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 } } ``` ## 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: - The task report for an entire job is associated with the `query_controller` task. The `query_worker` tasks do not have their own reports; their information is incorporated into the controller report. - The task report API may report `404 Not Found` temporarily while the task is in the process of starting up. - As an experimental feature, the MSQ task engine supports running SELECT queries. SELECT query results are written into the `multiStageQuery.payload.results.results` task report key as an array of arrays. The behavior and result format of plain SELECT queries (without INSERT or REPLACE) is subject to change. - `multiStageQuery.payload.results.resultsTruncated` denote whether the results of the report have been truncated to prevent the reports from blowing up For an explanation of the fields in a report, see [Report response fields](#report-response-fields). #### Request ``` GET /druid/indexer/v1/task//reports ``` ```bash # Make sure you replace `username`, `password`, `your-instance`, `port`, and `taskId` with the values for your deployment. curl --location --request GET 'https://:@:/druid/indexer/v1/task//reports' ``` ```python import requests # Make sure you replace `your-instance`, `port`, and `taskId` with the values for your deployment. url = "https://:/druid/indexer/v1/task//reports" headers = {} response = requests.get(url, headers=headers, auth=('USER', 'PASSWORD')) print(response.text) ``` #### Response The response shows an example report for a query.
Show the response ```json { "multiStageQuery": { "type": "multiStageQuery", "taskId": "query-3dc0c45d-34d7-4b15-86c9-cdb2d3ebfc4e", "payload": { "status": { "status": "SUCCESS", "startTime": "2022-09-14T22:12:09.266Z", "durationMs": 28227, "pendingTasks": 0, "runningTasks": 2 }, "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 }, "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" } } }, "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 } ], "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 } ], "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" ] }, "transformSpec": { "filter": null, "transforms": [] } }, "columnMappings": [ { "queryColumn": "timestamp", "outputColumn": "timestamp" }, { "queryColumn": "agent_category", "outputColumn": "agent_category" }, { "queryColumn": "agent_type", "outputColumn": "agent_type" } ], "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 ] }, "segmentGenerationProgress": { "type": "segmentGenerationProgress", "rowsProcessed": 465346, "rowsPersisted": 465346, "rowsMerged": 465346 } } } } } } } ```
The following table describes the response fields when you retrieve a report for a MSQ task engine using the `/druid/indexer/v1/task//reports` endpoint: | 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.pendingTasks` | Number of tasks that are not fully started. -1 denotes that the number is currently unknown. | | `multiStageQuery.payload.status.runningTasks` | Number of currently running tasks. Should be at least 1 since the controller is included. | | `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. | | `multiStageQuery.payload.status.errorReport.error` | Error object. Contains `errorCode` at a minimum, and may contain other fields as described in the [error code table](../multi-stage-query/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](../multi-stage-query/reference.md#error-codes). Always present if there is an error. | | `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 #### Request ``` POST /druid/indexer/v1/task//shutdown ``` ```bash # Make sure you replace `username`, `password`, `your-instance`, `port`, and `taskId` with the values for your deployment. curl --location --request POST 'https://:@:/druid/indexer/v1/task//shutdown' ``` ```python import requests # Make sure you replace `your-instance`, `port`, and `taskId` with the values for your deployment. url = "https://:/druid/indexer/v1/task//shutdown" payload={} headers = {} response = requests.post(url, headers=headers, data=payload, auth=('USER', 'PASSWORD')) print(response.text) ``` #### Response ``` { "task": "query-655efe33-781a-4c50-ae84-c2911b42d63c" } ```