/AWS1/IF_SGM=>CREATEDATAQUALITYJOBDEFN()

About CreateDataQualityJobDefinition

Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.

Method Signature

METHODS /AWS1/IF_SGM~CREATEDATAQUALITYJOBDEFN
  IMPORTING
    !IV_JOBDEFINITIONNAME TYPE /AWS1/SGMMONJOBDEFINITIONNAME OPTIONAL
    !IO_DATAQUALITYBASELINECONFIG TYPE REF TO /AWS1/CL_SGMDATAQUALITYBASEL00 OPTIONAL
    !IO_DATAQUALITYAPPSPEC TYPE REF TO /AWS1/CL_SGMDATAQUALITYAPPSPEC OPTIONAL
    !IO_DATAQUALITYJOBINPUT TYPE REF TO /AWS1/CL_SGMDATAQUALITYJOBINP OPTIONAL
    !IO_DATAQUALITYJOBOUTPUTCFG TYPE REF TO /AWS1/CL_SGMMONOUTPUTCONFIG OPTIONAL
    !IO_JOBRESOURCES TYPE REF TO /AWS1/CL_SGMMONRESOURCES OPTIONAL
    !IO_NETWORKCONFIG TYPE REF TO /AWS1/CL_SGMMONNETWORKCONFIG OPTIONAL
    !IV_ROLEARN TYPE /AWS1/SGMROLEARN OPTIONAL
    !IO_STOPPINGCONDITION TYPE REF TO /AWS1/CL_SGMMONSTOPPINGCOND OPTIONAL
    !IT_TAGS TYPE /AWS1/CL_SGMTAG=>TT_TAGLIST OPTIONAL
  RETURNING
    VALUE(OO_OUTPUT) TYPE REF TO /aws1/cl_sgmcredataqualityjo01
  RAISING
    /AWS1/CX_SGMRESOURCEINUSE
    /AWS1/CX_SGMRESOURCELIMITEXCD
    /AWS1/CX_SGMCLIENTEXC
    /AWS1/CX_SGMSERVEREXC
    /AWS1/CX_RT_TECHNICAL_GENERIC
    /AWS1/CX_RT_SERVICE_GENERIC.

IMPORTING

Required arguments:

iv_jobdefinitionname TYPE /AWS1/SGMMONJOBDEFINITIONNAME /AWS1/SGMMONJOBDEFINITIONNAME

The name for the monitoring job definition.

io_dataqualityappspec TYPE REF TO /AWS1/CL_SGMDATAQUALITYAPPSPEC /AWS1/CL_SGMDATAQUALITYAPPSPEC

Specifies the container that runs the monitoring job.

io_dataqualityjobinput TYPE REF TO /AWS1/CL_SGMDATAQUALITYJOBINP /AWS1/CL_SGMDATAQUALITYJOBINP

A list of inputs for the monitoring job. Currently endpoints are supported as monitoring inputs.

io_dataqualityjoboutputcfg TYPE REF TO /AWS1/CL_SGMMONOUTPUTCONFIG /AWS1/CL_SGMMONOUTPUTCONFIG

DataQualityJobOutputConfig

io_jobresources TYPE REF TO /AWS1/CL_SGMMONRESOURCES /AWS1/CL_SGMMONRESOURCES

JobResources

iv_rolearn TYPE /AWS1/SGMROLEARN /AWS1/SGMROLEARN

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.

Optional arguments:

io_dataqualitybaselineconfig TYPE REF TO /AWS1/CL_SGMDATAQUALITYBASEL00 /AWS1/CL_SGMDATAQUALITYBASEL00

Configures the constraints and baselines for the monitoring job.

io_networkconfig TYPE REF TO /AWS1/CL_SGMMONNETWORKCONFIG /AWS1/CL_SGMMONNETWORKCONFIG

Specifies networking configuration for the monitoring job.

io_stoppingcondition TYPE REF TO /AWS1/CL_SGMMONSTOPPINGCOND /AWS1/CL_SGMMONSTOPPINGCOND

StoppingCondition

it_tags TYPE /AWS1/CL_SGMTAG=>TT_TAGLIST TT_TAGLIST

(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

RETURNING

oo_output TYPE REF TO /aws1/cl_sgmcredataqualityjo01 /AWS1/CL_SGMCREDATAQUALITYJO01

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->createdataqualityjobdefn(
  io_dataqualityappspec = new /aws1/cl_sgmdataqualityappspec(
    it_containerarguments = VALUE /aws1/cl_sgmmoncontainerargu00=>tt_moncontainerarguments(
      ( new /aws1/cl_sgmmoncontainerargu00( |string| ) )
    )
    it_containerentrypoint = VALUE /aws1/cl_sgmcontainerentrpt_w=>tt_containerentrypoint(
      ( new /aws1/cl_sgmcontainerentrpt_w( |string| ) )
    )
    it_environment = VALUE /aws1/cl_sgmmonenvironmentma00=>tt_monitoringenvironmentmap(
      (
        VALUE /aws1/cl_sgmmonenvironmentma00=>ts_monenvironmentmap_maprow(
          key = |string|
          value = new /aws1/cl_sgmmonenvironmentma00( |string| )
        )
      )
    )
    iv_imageuri = |string|
    iv_postalysprocorsourceuri = |string|
    iv_recordpreprocorsourceuri = |string|
  )
  io_dataqualitybaselineconfig = new /aws1/cl_sgmdataqualitybasel00(
    io_constraintsresource = new /aws1/cl_sgmmoncnstrntsresrc( |string| )
    io_statisticsresource = new /aws1/cl_sgmmonstatsresource( |string| )
    iv_baseliningjobname = |string|
  )
  io_dataqualityjobinput = new /aws1/cl_sgmdataqualityjobinp(
    io_batchtransforminput = new /aws1/cl_sgmbatchtransforminp(
      io_datasetformat = new /aws1/cl_sgmmondatasetformat(
        io_csv = new /aws1/cl_sgmmoncsvdsformat( ABAP_TRUE )
        io_json = new /aws1/cl_sgmmonjsondsformat( ABAP_TRUE )
        io_parquet = new /aws1/cl_sgmmonparquetdsformat( )
      )
      iv_datacaptureddsts3uri = |string|
      iv_endtimeoffset = |string|
      iv_excludefeaturesattribute = |string|
      iv_featuresattribute = |string|
      iv_inferenceattribute = |string|
      iv_localpath = |string|
      iv_probabilityattribute = |string|
      iv_probabilitythresholdattr = '0.1'
      iv_s3datadistributiontype = |string|
      iv_s3inputmode = |string|
      iv_starttimeoffset = |string|
    )
    io_endpointinput = new /aws1/cl_sgmendpointinput(
      iv_endpointname = |string|
      iv_endtimeoffset = |string|
      iv_excludefeaturesattribute = |string|
      iv_featuresattribute = |string|
      iv_inferenceattribute = |string|
      iv_localpath = |string|
      iv_probabilityattribute = |string|
      iv_probabilitythresholdattr = '0.1'
      iv_s3datadistributiontype = |string|
      iv_s3inputmode = |string|
      iv_starttimeoffset = |string|
    )
  )
  io_dataqualityjoboutputcfg = new /aws1/cl_sgmmonoutputconfig(
    it_monitoringoutputs = VALUE /aws1/cl_sgmmonitoringoutput=>tt_monitoringoutputs(
      (
        new /aws1/cl_sgmmonitoringoutput(
          io_s3output = new /aws1/cl_sgmmonitorings3output(
            iv_localpath = |string|
            iv_s3uploadmode = |string|
            iv_s3uri = |string|
          )
        )
      )
    )
    iv_kmskeyid = |string|
  )
  io_jobresources = new /aws1/cl_sgmmonresources(
    io_clusterconfig = new /aws1/cl_sgmmonclusterconfig(
      iv_instancecount = 123
      iv_instancetype = |string|
      iv_volumekmskeyid = |string|
      iv_volumesizeingb = 123
    )
  )
  io_networkconfig = new /aws1/cl_sgmmonnetworkconfig(
    io_vpcconfig = new /aws1/cl_sgmvpcconfig(
      it_securitygroupids = VALUE /aws1/cl_sgmvpcsecgroupids_w=>tt_vpcsecuritygroupids(
        ( new /aws1/cl_sgmvpcsecgroupids_w( |string| ) )
      )
      it_subnets = VALUE /aws1/cl_sgmsubnets_w=>tt_subnets(
        ( new /aws1/cl_sgmsubnets_w( |string| ) )
      )
    )
    iv_enablenetworkisolation = ABAP_TRUE
    iv_enbintercontainertrafenc = ABAP_TRUE
  )
  io_stoppingcondition = new /aws1/cl_sgmmonstoppingcond( 123 )
  it_tags = VALUE /aws1/cl_sgmtag=>tt_taglist(
    (
      new /aws1/cl_sgmtag(
        iv_key = |string|
        iv_value = |string|
      )
    )
  )
  iv_jobdefinitionname = |string|
  iv_rolearn = |string|
).

This is an example of reading all possible response values

lo_result = lo_result.
IF lo_result IS NOT INITIAL.
  lv_monitoringjobdefinition = lo_result->get_jobdefinitionarn( ).
ENDIF.