Submitting a SQL Job (Recommended)

Function

This API is used to submit jobs to a queue using SQL statements.

The job types support DDL, DCL, IMPORT, QUERY, and INSERT. Functions of IMPORT and EXPORT are the same as those described in Importing Data. The difference lies in the implementation method.

Additionally, you can use other APIs to query and manage jobs. For details, see the following sections:

This API is synchronous if job_type in the response message is DCL.

URI

URI format
POST /v1.0/{project_id}/jobs/submit-job

Parameter description

**Table 1** URI parameter
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID, which is used for resource isolation. For details about how to obtain its value, see Obtaining a Project ID.

Request

**Table 2** Request parameters
Parameter	Mandatory	Type	Description
sql	Yes	String	SQL statement that you want to execute.
currentdb	No	String	Database where the SQL statement is executed. This parameter does not need to be configured during database creation.
queue_name	No	String	Name of the queue to which a job to be submitted belongs. The name can contain only digits, letters, and underscores (_), but cannot contain only digits or start with an underscore (_).
conf	No	Array of Strings	You can set the configuration parameters for the SQL job in the form of Key/Value. For details about the supported configuration items, see Table 3.
tags	No	Array of Objects	Label of a job. For details, see Table 4.

**Table 3** Configuration parameters description
Parameter	Default Value	Description
spark.sql.files.maxRecordsPerFile	0	Maximum number of records to be written into a single file. If the value is zero or negative, there is no limit.
spark.sql.autoBroadcastJoinThreshold	209715200	Maximum size of the table that displays all working nodes when a connection is executed. You can set this parameter to -1 to disable the display. NOTE: Currently, only the configuration unit metastore table that runs the ANALYZE TABLE COMPUTE statistics noscan command and the file-based data source table that directly calculates statistics based on data files are supported.
spark.sql.shuffle.partitions	200	Default number of partitions used to filter data for join or aggregation.
spark.sql.dynamicPartitionOverwrite.enabled	false	Whether DLI overwrites the partitions where data will be written into during runtime. If you set this parameter to false, all partitions that meet the specified condition will be deleted before data overwrite starts. For example, if you set false and use INSERT OVERWRITE to write partition 2021-02 to a partitioned table that has the 2021-01 partition, this partition will be deleted. If you set this parameter to true, DLI does not delete partitions before overwrite starts.
spark.sql.files.maxPartitionBytes	134217728	Maximum number of bytes to be packed into a single partition when a file is read.
spark.sql.badRecordsPath	-	Path of bad records.
dli.sql.sqlasync.enabled	false	Indicates whether DDL and DCL statements are executed asynchronously. The value true indicates that asynchronous execution is enabled.
dli.sql.job.timeout	-	Sets the job running timeout interval. If the timeout interval expires, the job is canceled. Unit: ms.

**Table 4** tags parameters
Parameter	Mandatory	Type	Description
key	Yes	String	Tag key.
value	Yes	String	Tag value

Response

**Table 5** Response parameters
Parameter	Mandatory	Type	Description
is_success	Yes	Boolean	Indicates whether the request is successfully sent. Value true indicates that the request is successfully sent.
message	Yes	String	System prompt. If execution succeeds, the parameter setting may be left blank.
job_id	Yes	String	ID of a job returned after a job is generated and submitted by using SQL statements. The job ID can be used to query the job status and results.
job_type	Yes	String	Type of a job. Job types include the following: DDL DCL IMPORT EXPORT QUERY INSERT
schema	No	Array of objects	If the statement type is DDL, the column name and type of DDL are displayed.
rows	No	Array of objects	When the statement type is DDL, results of the DDL are displayed.
job_mode	No	String	Job execution mode. The options are as follows: async: asynchronous sync: synchronous

Example Request

{
    "currentdb": "db1",
    "sql": "desc table1",
    "queue_name": "default",
    "conf": [
        "dli.sql.shuffle.partitions = 200"
    ],
    "tags": [
            {
              "key": "workspace",
              "value": "space1"
             },
            {
              "key": "jobName",
              "value": "name1"
             }
      ]
}

Example Response

{
  "is_success": true,
  "message": "",
  "job_id": "8ecb0777-9c70-4529-9935-29ea0946039c",
  "job_type": "DDL",
  "job_mode":"sync",
  "schema": [
    {
      "col_name": "string"
    },
    {
      "data_type": "string"
    },
    {
      "comment": "string"
    }
  ],
  "rows": [
    [
      "c1",
      "int",
      null
    ],
    [
      "c2",
      "string",
      null
    ]
  ]
}

Status Codes

Table 6 describes the status code.

**Table 6** Status codes
Status Code	Description
200	Submitted successfully.
400	Request error.
500	Internal service error.

Error Codes

If an error occurs when this API is invoked, the system does not return the result similar to the preceding example, but returns the error code and error information. For details, see Error Code.

Parent topic: Job-related APIs

Previous topic: Exporting Data

Next topic: Canceling a Job (Recommended)