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/AWS1/CL_QQB=>CREATEDATASOURCE()

About CreateDataSource

Creates a data source connector for an Amazon Q Business application.

CreateDataSource is a synchronous operation. The operation returns 200 if the data source was successfully created. Otherwise, an exception is raised.

Method Signature

IMPORTING

Required arguments:

iv_applicationid TYPE /AWS1/QQBAPPLICATIONID /AWS1/QQBAPPLICATIONID

The identifier of the Amazon Q Business application the data source will be attached to.

iv_indexid TYPE /AWS1/QQBINDEXID /AWS1/QQBINDEXID

The identifier of the index that you want to use with the data source connector.

iv_displayname TYPE /AWS1/QQBDATASOURCENAME /AWS1/QQBDATASOURCENAME

A name for the data source connector.

io_configuration TYPE REF TO /AWS1/CL_RT_DOCUMENT /AWS1/CL_RT_DOCUMENT

Configuration information to connect your data source repository to Amazon Q Business. Use this parameter to provide a JSON schema with configuration information specific to your data source connector.

Each data source has a JSON schema provided by Amazon Q Business that you must use. For example, the Amazon S3 and Web Crawler connectors require the following JSON schemas:

You can find configuration templates for your specific data source using the following steps:

  1. Navigate to the Supported connectors page in the Amazon Q Business User Guide, and select the data source of your choice.

  2. Then, from your specific data source connector page, select Using the API. You will find the JSON schema for your data source, including parameter descriptions, in this section.

Optional arguments:

io_vpcconfiguration TYPE REF TO /AWS1/CL_QQBDATASOURCEVPCCONF /AWS1/CL_QQBDATASOURCEVPCCONF

Configuration information for an Amazon VPC (Virtual Private Cloud) to connect to your data source. For more information, see Using Amazon VPC with Amazon Q Business connectors.

iv_description TYPE /AWS1/QQBDESCRIPTION /AWS1/QQBDESCRIPTION

A description for the data source connector.

it_tags TYPE /AWS1/CL_QQBTAG=>TT_TAGS TT_TAGS

A list of key-value pairs that identify or categorize the data source connector. You can also use tags to help control access to the data source connector. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.

iv_syncschedule TYPE /AWS1/QQBSYNCSCHEDULE /AWS1/QQBSYNCSCHEDULE

Sets the frequency for Amazon Q Business to check the documents in your data source repository and update your index. If you don't set a schedule, Amazon Q Business won't periodically update the index.

Specify a cron- format schedule string or an empty string to indicate that the index is updated on demand. You can't specify the Schedule parameter when the Type parameter is set to CUSTOM. If you do, you receive a ValidationException exception.

iv_rolearn TYPE /AWS1/QQBROLEARN /AWS1/QQBROLEARN

The Amazon Resource Name (ARN) of an IAM role with permission to access the data source and required resources.

iv_clienttoken TYPE /AWS1/QQBCLIENTTOKEN /AWS1/QQBCLIENTTOKEN

A token you provide to identify a request to create a data source connector. Multiple calls to the CreateDataSource API with the same client token will create only one data source connector.

io_documentenrichmentconf TYPE REF TO /AWS1/CL_QQBDOCENRICHMENTCONF /AWS1/CL_QQBDOCENRICHMENTCONF

documentEnrichmentConfiguration

io_mediaextractionconf TYPE REF TO /AWS1/CL_QQBMEDIAEXTRACTCONF /AWS1/CL_QQBMEDIAEXTRACTCONF

The configuration for extracting information from media in documents during ingestion.

RETURNING

oo_output TYPE REF TO /aws1/cl_qqbcreatedatasrcrsp /AWS1/CL_QQBCREATEDATASRCRSP

Domain /AWS1/RT_ACCOUNT_ID
Primitive Type NUMC

Examples

Syntax Example

This is an example of the syntax for calling the method. It includes every possible argument and initializes every possible value. The data provided is not necessarily semantically accurate (for example the value "string" may be provided for something that is intended to be an instance ID, or in some cases two arguments may be mutually exclusive). The syntax shows the ABAP syntax for creating the various data structures.

DATA(lo_result) = lo_client->/aws1/if_qqb~createdatasource(
  io_configuration = /AWS1/CL_RT_DOCUMENT=>FROM_JSON_STR( |\{"foo":"this is a JSON object..."\}| )
  io_documentenrichmentconf = new /aws1/cl_qqbdocenrichmentconf(
    io_postextractionhookconf = new /aws1/cl_qqbhookconfiguration(
      io_invocationcondition = new /aws1/cl_qqbdocumentattrcond(
        io_value = new /aws1/cl_qqbdocumentattrvalue(
          it_stringlistvalue = VALUE /aws1/cl_qqbdocattrstrlstval_w=>tt_documentattrstringlistvalue(
            ( new /aws1/cl_qqbdocattrstrlstval_w( |string| ) )
          )
          iv_datevalue = '20150101000000.0000000'
          iv_longvalue = 123
          iv_stringvalue = |string|
        )
        iv_key = |string|
        iv_operator = |string|
      )
      iv_lambdaarn = |string|
      iv_rolearn = |string|
      iv_s3bucketname = |string|
    )
    io_preextractionhookconf = new /aws1/cl_qqbhookconfiguration(
      io_invocationcondition = new /aws1/cl_qqbdocumentattrcond(
        io_value = new /aws1/cl_qqbdocumentattrvalue(
          it_stringlistvalue = VALUE /aws1/cl_qqbdocattrstrlstval_w=>tt_documentattrstringlistvalue(
            ( new /aws1/cl_qqbdocattrstrlstval_w( |string| ) )
          )
          iv_datevalue = '20150101000000.0000000'
          iv_longvalue = 123
          iv_stringvalue = |string|
        )
        iv_key = |string|
        iv_operator = |string|
      )
      iv_lambdaarn = |string|
      iv_rolearn = |string|
      iv_s3bucketname = |string|
    )
    it_inlineconfigurations = VALUE /aws1/cl_qqbinlinedocenrichm00=>tt_inlinedocenrichmentconfs(
      (
        new /aws1/cl_qqbinlinedocenrichm00(
          io_condition = new /aws1/cl_qqbdocumentattrcond(
            io_value = new /aws1/cl_qqbdocumentattrvalue(
              it_stringlistvalue = VALUE /aws1/cl_qqbdocattrstrlstval_w=>tt_documentattrstringlistvalue(
                ( new /aws1/cl_qqbdocattrstrlstval_w( |string| ) )
              )
              iv_datevalue = '20150101000000.0000000'
              iv_longvalue = 123
              iv_stringvalue = |string|
            )
            iv_key = |string|
            iv_operator = |string|
          )
          io_target = new /aws1/cl_qqbdocumentattrtarget(
            io_value = new /aws1/cl_qqbdocumentattrvalue(
              it_stringlistvalue = VALUE /aws1/cl_qqbdocattrstrlstval_w=>tt_documentattrstringlistvalue(
                ( new /aws1/cl_qqbdocattrstrlstval_w( |string| ) )
              )
              iv_datevalue = '20150101000000.0000000'
              iv_longvalue = 123
              iv_stringvalue = |string|
            )
            iv_attributevalueoperator = |string|
            iv_key = |string|
          )
          iv_documentcontentoperator = |string|
        )
      )
    )
  )
  io_mediaextractionconf = new /aws1/cl_qqbmediaextractconf(
    io_audioextractionconf = new /aws1/cl_qqbaudioextractconf( |string| )
    io_imageextractionconf = new /aws1/cl_qqbimageextractconf( |string| )
    io_videoextractionconf = new /aws1/cl_qqbvideoextractconf( |string| )
  )
  io_vpcconfiguration = new /aws1/cl_qqbdatasourcevpcconf(
    it_securitygroupids = VALUE /aws1/cl_qqbsecuritygroupids_w=>tt_securitygroupids(
      ( new /aws1/cl_qqbsecuritygroupids_w( |string| ) )
    )
    it_subnetids = VALUE /aws1/cl_qqbsubnetids_w=>tt_subnetids(
      ( new /aws1/cl_qqbsubnetids_w( |string| ) )
    )
  )
  it_tags = VALUE /aws1/cl_qqbtag=>tt_tags(
    (
      new /aws1/cl_qqbtag(
        iv_key = |string|
        iv_value = |string|
      )
    )
  )
  iv_applicationid = |string|
  iv_clienttoken = |string|
  iv_description = |string|
  iv_displayname = |string|
  iv_indexid = |string|
  iv_rolearn = |string|
  iv_syncschedule = |string|
).

This is an example of reading all possible response values

lo_result = lo_result.
IF lo_result IS NOT INITIAL.
  lv_datasourceid = lo_result->get_datasourceid( ).
  lv_datasourcearn = lo_result->get_datasourcearn( ).
ENDIF.