Manage entity reconciliation jobs with the API

Preview

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This quickstart introduces you to the Entity Reconciliation API. In this quickstart, you use the Google Cloud console to set up your Google Cloud project and authentication, create schema mapping files, and then make a request for Enterprise Knowledge Graph to run an entity reconciliation job.

Create an entity reconciliation job

Use the following steps to create an entity reconciliation job:

REST

To create a simple job with one source table (deduplication), call the projects.locations.entityReconciliationJobs.create method.

Before using any of the request data, make the following replacements:

PROJECT_ID : Your Google Cloud project ID.
LOCATION : Knowledge Graph location.
- Options: global - Global Endpoint
DATASET_ID : ID of the BigQuery Dataset
TABLE_ID : ID of the BigQuery Table
MAPPING_FILE_URI : Cloud Storage path to a mapping file in YAML format.
- Example: gs://ekg-test-gcs/mapping.yml
ENTITY_TYPE : Entity Type for reconciliation.

HTTP method and URL:

POST https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs

Request JSON body:

{
  "inputConfig": {
    "bigqueryInputConfigs": [
      {
        "bigqueryTable": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
/tables/ TABLE_ID 
",
        "gcsUri": " MAPPING_FILE_URI 
"
      }
    ],
    "entityType": " ENTITY_TYPE 
"
  },
  "outputConfig": {
    "bigqueryDataset": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
"
  }
}

To send your request, choose one of these options:

curl

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login , or by using Cloud Shell , which automatically logs you into the gcloud CLI . You can check the currently active account by running gcloud auth list .

Save the request body in a file named request.json , and execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs"

PowerShell

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login . You can check the currently active account by running gcloud auth list .

Save the request body in a file named request.json , and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
",
  "inputConfig": {
    "bigqueryInputConfigs": [
      {
        "bigqueryTable": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
/tables/ TABLE_ID 
",
        "gcsUri": " MAPPING_FILE_URI 
"
      }
    ],
    "entityType": " ENTITY_TYPE 
"
  },
  "outputConfig": {
    "bigqueryDataset": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
"
  },
  "state": "JOB_STATE_RUNNING",
  "createTime": "2021-07-31T14:39:14.145568Z",
  "updateTime": "2021-07-31T14:39:14.145568Z"
}

To create a job with advanced options and multiple BigQuery tables, use a request body similar to this example:

 {
  "inputConfig": {
    "bigqueryInputConfigs": [
      {
        "bigqueryTable": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
/tables/ TABLE_ID 
",
        "gcsUri": " MAPPING_FILE_URI 
"
      },
      {
        "bigqueryTable": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
/tables/ TABLE_ID 
",
        "gcsUri": " MAPPING_FILE_URI 
"
      }
    ],
    "entityType": " ENTITY_TYPE 
",
    "previousResultBigqueryTable": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
/tables/clusters_13689265293502324307"
  },
  "outputConfig": {
    "bigqueryDataset": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
"
  },
  "reconConfig": {
    "affinityClusteringConfig": {
      "compressionRoundCount": "2"
    },
    "options": {
      "enableGeocodingSeparation": true
    }
  }
}

Python

For more information, see the Enterprise Knowledge Graph Python API reference documentation .

To authenticate to Enterprise Knowledge Graph, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  from 
  
 google.cloud 
  
 import 
 enterpriseknowledgegraph 
 as 
 ekg 
 # TODO(developer): Uncomment these variables before running the sample. 
 # project_id = 'YOUR_PROJECT_ID' 
 # location = 'YOUR_GRAPH_LOCATION'          # Values: 'global' 
 # input_dataset = 'YOUR_INPUT_DATASET'      # BigQuery Dataset Name 
 # input_table = 'YOUR_INPUT_TABLE'          # BigQuery Table Name 
 # mapping_file_uri = 'YOUR_MAPPING_FILE     # GCS Path. Example: gs://ekg-test-gcs/mapping.yml 
 # output_dataset = 'YOUR_OUTPUT_DATASET'    # BigQuery Dataset Name 
 # Refer to https://cloud.google.com/enterprise-knowledge-graph/docs/schema 
 # entity_type = ekg.InputConfig.EntityType.Person 
 def 
  
 create_entity_reconciliation_job_sample 
 ( 
 project_id 
 : 
 str 
 , 
 location 
 : 
 str 
 , 
 input_dataset 
 : 
 str 
 , 
 input_table 
 : 
 str 
 , 
 mapping_file_uri 
 : 
 str 
 , 
 entity_type 
 : 
 int 
 , 
 output_dataset 
 : 
 str 
 , 
 ) 
 - 
> None 
 : 
 # Create a client 
 client 
 = 
 ekg 
 . 
 EnterpriseKnowledgeGraphServiceClient 
 () 
 # The full resource name of the location 
 # e.g. projects/{project_id}/locations/{location} 
 parent 
 = 
 client 
 . 
 common_location_path 
 ( 
 project 
 = 
 project_id 
 , 
 location 
 = 
 location 
 ) 
 # Input Parameters 
 input_config 
 = 
 ekg 
 . 
 InputConfig 
 ( 
 bigquery_input_configs 
 = 
 [ 
 ekg 
 . 
 BigQueryInputConfig 
 ( 
 bigquery_table 
 = 
 client 
 . 
 table_path 
 ( 
 project 
 = 
 project_id 
 , 
 dataset 
 = 
 input_dataset 
 , 
 table 
 = 
 input_table 
 ), 
 gcs_uri 
 = 
 mapping_file_uri 
 , 
 ) 
 ], 
 entity_type 
 = 
 entity_type 
 , 
 ) 
 # Output Parameters 
 output_config 
 = 
 ekg 
 . 
 OutputConfig 
 ( 
 bigquery_dataset 
 = 
 client 
 . 
 dataset_path 
 ( 
 project 
 = 
 project_id 
 , 
 dataset 
 = 
 output_dataset 
 ) 
 ) 
 entity_reconciliation_job 
 = 
 ekg 
 . 
 EntityReconciliationJob 
 ( 
 input_config 
 = 
 input_config 
 , 
 output_config 
 = 
 output_config 
 ) 
 # Initialize request argument(s) 
 request 
 = 
 ekg 
 . 
 CreateEntityReconciliationJobRequest 
 ( 
 parent 
 = 
 parent 
 , 
 entity_reconciliation_job 
 = 
 entity_reconciliation_job 
 ) 
 # Make the request 
 response 
 = 
 client 
 . 
 create_entity_reconciliation_job 
 ( 
 request 
 = 
 request 
 ) 
 print 
 ( 
 f 
 "Job: 
 { 
 response 
 . 
 name 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "Input Table: 
 { 
 response 
 . 
 input_config 
 . 
 bigquery_input_configs 
 [ 
 0 
 ] 
 . 
 bigquery_table 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "Output Dataset: 
 { 
 response 
 . 
 output_config 
 . 
 bigquery_dataset 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "State: 
 { 
 response 
 . 
 state 
 . 
 name 
 } 
 " 
 )

Get an entity reconciliation job

REST

To retrieve job status from the API, call the projects.locations.entityReconciliationJobs.get method.

Before using any of the request data, make the following replacements:

PROJECT_ID : Your Google Cloud project ID.
LOCATION : Knowledge Graph location.
- Options: global - Global Endpoint
JOB_ID : Entity Reconciliation Job ID.
- Example: 2628838070002699773

HTTP method and URL:

GET https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID

To send your request, choose one of these options:

curl

Execute the following command:

curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "name": "projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
",
  "inputConfig": {
    "bigqueryInputConfigs": [
      {
        "bigqueryTable": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
/tables/ TABLE_ID 
",
        "gcsUri": " MAPPING_FILE_URI 
"
      }
    ],
    "entityType": " ENTITY_TYPE 
"
  },
  "outputConfig": {
    "bigqueryDataset": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
"
  },
  "state": "JOB_STATE_SUCCEEDED",
  "createTime": "2021-07-31T14:39:14.145568Z",
  "updateTime": "2021-07-31T14:39:14.145568Z"
}

Python

For more information, see the Enterprise Knowledge Graph Python API reference documentation .

To authenticate to Enterprise Knowledge Graph, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  from 
  
 google.cloud 
  
 import 
 enterpriseknowledgegraph 
 as 
 ekg 
 # TODO(developer): Uncomment these variables before running the sample. 
 # project_id = 'YOUR_PROJECT_ID' 
 # location = 'YOUR_GRAPH_LOCATION'  # Values: 'global' 
 # job_id = 'YOUR_JOB_ID'            # Entity Reconciliation Job ID 
 def 
  
 get_entity_reconciliation_job_sample 
 ( 
 project_id 
 : 
 str 
 , 
 location 
 : 
 str 
 , 
 job_id 
 : 
 str 
 ) 
 - 
> None 
 : 
 # Create a client 
 client 
 = 
 ekg 
 . 
 EnterpriseKnowledgeGraphServiceClient 
 () 
 # The full resource name of the job 
 # e.g. projects/{project_id}/locations/{location}/entityReconciliationJobs/{entity_reconciliation_job} 
 name 
 = 
 client 
 . 
 entity_reconciliation_job_path 
 ( 
 project 
 = 
 project_id 
 , 
 location 
 = 
 location 
 , 
 entity_reconciliation_job 
 = 
 job_id 
 ) 
 # Initialize request argument(s) 
 request 
 = 
 ekg 
 . 
 GetEntityReconciliationJobRequest 
 ( 
 name 
 = 
 name 
 ) 
 # Make the request 
 response 
 = 
 client 
 . 
 get_entity_reconciliation_job 
 ( 
 request 
 = 
 request 
 ) 
 print 
 ( 
 f 
 "Job: 
 { 
 response 
 . 
 name 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "Input Table: 
 { 
 response 
 . 
 input_config 
 . 
 bigquery_input_configs 
 [ 
 0 
 ] 
 . 
 bigquery_table 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "Output Dataset: 
 { 
 response 
 . 
 output_config 
 . 
 bigquery_dataset 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "State: 
 { 
 response 
 . 
 state 
 . 
 name 
 } 
 " 
 )

List entity reconciliation jobs

REST

To retrieve all the jobs from the API, call the projects.locations.entityReconciliationJobs.list method.

Before using any of the request data, make the following replacements:

PROJECT_ID : Your Google Cloud project ID.
LOCATION : Knowledge Graph location.
- Options: global - Global Endpoint

HTTP method and URL:

GET https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs

To send your request, choose one of these options:

curl

Execute the following command:

curl -X GET \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method GET `
-Headers $headers `
-Uri "https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "entityReconciliationJobs": [
    {
      "name": "projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
",
      "inputConfig": {
        "bigqueryInputConfigs": [
          {
            "bigqueryTable": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
/tables/ TABLE_ID 
",
            "gcsUri": " MAPPING_FILE_URI 
"
          }
        ],
        "entityType": " ENTITY_TYPE 
"
      },
      "outputConfig": {
        "bigqueryDataset": "projects/ PROJECT_ID 
/datasets/ DATASET_ID 
"
      },
      "state": "JOB_STATE_SUCCEEDED",
      "createTime": "2021-07-31T14:39:14.145568Z",
      "updateTime": "2021-07-31T14:39:14.145568Z"
    }
  ],
  "nextPageToken": ""
}

Python

For more information, see the Enterprise Knowledge Graph Python API reference documentation .

To authenticate to Enterprise Knowledge Graph, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  from 
  
 google.cloud 
  
 import 
 enterpriseknowledgegraph 
 as 
 ekg 
 # TODO(developer): Uncomment these variables before running the sample. 
 # project_id = 'YOUR_PROJECT_ID' 
 # location = 'YOUR_GRAPH_LOCATION'  # Values: 'global' 
 def 
  
 list_entity_reconciliation_jobs_sample 
 ( 
 project_id 
 : 
 str 
 , 
 location 
 : 
 str 
 ) 
 - 
> None 
 : 
 # Create a client 
 client 
 = 
 ekg 
 . 
 EnterpriseKnowledgeGraphServiceClient 
 () 
 # The full resource name of the location 
 # e.g. projects/{project_id}/locations/{location} 
 parent 
 = 
 client 
 . 
 common_location_path 
 ( 
 project 
 = 
 project_id 
 , 
 location 
 = 
 location 
 ) 
 # Initialize request argument(s) 
 request 
 = 
 ekg 
 . 
 ListEntityReconciliationJobsRequest 
 ( 
 parent 
 = 
 parent 
 ) 
 # Make the request 
 pager 
 = 
 client 
 . 
 list_entity_reconciliation_jobs 
 ( 
 request 
 = 
 request 
 ) 
 for 
 response 
 in 
 pager 
 : 
 print 
 ( 
 f 
 "Job: 
 { 
 response 
 . 
 name 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "Input Table: 
 { 
 response 
 . 
 input_config 
 . 
 bigquery_input_configs 
 [ 
 0 
 ] 
 . 
 bigquery_table 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "Output Dataset: 
 { 
 response 
 . 
 output_config 
 . 
 bigquery_dataset 
 } 
 " 
 ) 
 print 
 ( 
 f 
 "State: 
 { 
 response 
 . 
 state 
 . 
 name 
 } 
 \n 
 " 
 )

Cancel an entity reconciliation job

REST

To stop a running job from the API, call the projects.locations.entityReconciliationJobs.cancel method.

Enterprise Knowledge Graph stops the job at the earliest opportunity. Note that canceling a job is on a best-efforts basis. The success of the cancel command isn't guaranteed.

Before using any of the request data, make the following replacements:

PROJECT_ID : Your Google Cloud project ID.
LOCATION : Knowledge Graph location.
- Options: global - Global Endpoint
JOB_ID : Entity Reconciliation Job ID.
- Example: 2628838070002699773

HTTP method and URL:

POST https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
:cancel

To send your request, choose one of these options:

curl

Execute the following command:

curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d "" \
"https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
:cancel"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method POST `
-Headers $headers `
-Uri "https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
:cancel" | Select-Object -Expand Content

You should receive a successful status code (2xx) and an empty response.

Python

For more information, see the Enterprise Knowledge Graph Python API reference documentation .

To authenticate to Enterprise Knowledge Graph, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  from 
  
 google.cloud 
  
 import 
 enterpriseknowledgegraph 
 as 
 ekg 
 # TODO(developer): Uncomment these variables before running the sample. 
 # project_id = 'YOUR_PROJECT_ID' 
 # location = 'YOUR_GRAPH_LOCATION'  # Values: 'global' 
 # job_id = 'YOUR_JOB_ID'            # Entity Reconciliation Job ID 
 def 
  
 cancel_entity_reconciliation_job_sample 
 ( 
 project_id 
 : 
 str 
 , 
 location 
 : 
 str 
 , 
 job_id 
 : 
 str 
 ) 
 - 
> None 
 : 
 # Create a client 
 client 
 = 
 ekg 
 . 
 EnterpriseKnowledgeGraphServiceClient 
 () 
 # The full resource name of the job 
 # e.g. projects/{project_id}/locations/{location}/entityReconciliationJobs/{entity_reconciliation_job} 
 name 
 = 
 client 
 . 
 entity_reconciliation_job_path 
 ( 
 project 
 = 
 project_id 
 , 
 location 
 = 
 location 
 , 
 entity_reconciliation_job 
 = 
 job_id 
 ) 
 # Initialize request argument(s) 
 request 
 = 
 ekg 
 . 
 CancelEntityReconciliationJobRequest 
 ( 
 name 
 = 
 name 
 ) 
 # Make the request 
 client 
 . 
 cancel_entity_reconciliation_job 
 ( 
 request 
 = 
 request 
 ) 
 print 
 ( 
 f 
 "Job: 
 { 
 name 
 } 
 successfully cancelled" 
 )

Delete an entity reconciliation job

REST

To remove a completed or failed job with the API, call the projects.locations.entityReconciliationJobs.delete method.

Before using any of the request data, make the following replacements:

PROJECT_ID : Your Google Cloud project ID.
LOCATION : Knowledge Graph location.
- Options: global - Global Endpoint
JOB_ID : Entity Reconciliation Job ID.
- Example: 2628838070002699773

HTTP method and URL:

DELETE https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID

To send your request, choose one of these options:

curl

Execute the following command:

curl -X DELETE \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
"

PowerShell

Execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
-Method DELETE `
-Headers $headers `
-Uri "https://enterpriseknowledgegraph.googleapis.com/v1/projects/ PROJECT_ID 
/locations/ LOCATION 
/entityReconciliationJobs/ JOB_ID 
" | Select-Object -Expand Content

You should receive a successful status code (2xx) and an empty response.

Python

For more information, see the Enterprise Knowledge Graph Python API reference documentation .

To authenticate to Enterprise Knowledge Graph, set up Application Default Credentials. For more information, see Set up authentication for a local development environment .

  from 
  
 google.cloud 
  
 import 
 enterpriseknowledgegraph 
 as 
 ekg 
 # TODO(developer): Uncomment these variables before running the sample. 
 # project_id = 'YOUR_PROJECT_ID' 
 # location = 'YOUR_GRAPH_LOCATION'  # Values: 'global' 
 # job_id = 'YOUR_JOB_ID'            # Entity Reconciliation Job ID 
 def 
  
 delete_entity_reconciliation_job_sample 
 ( 
 project_id 
 : 
 str 
 , 
 location 
 : 
 str 
 , 
 job_id 
 : 
 str 
 ) 
 - 
> None 
 : 
 # Create a client 
 client 
 = 
 ekg 
 . 
 EnterpriseKnowledgeGraphServiceClient 
 () 
 # The full resource name of the job 
 # e.g. projects/{project_id}/locations/{location}/entityReconciliationJobs/{entity_reconciliation_job} 
 name 
 = 
 client 
 . 
 entity_reconciliation_job_path 
 ( 
 project 
 = 
 project_id 
 , 
 location 
 = 
 location 
 , 
 entity_reconciliation_job 
 = 
 job_id 
 ) 
 # Initialize request argument(s) 
 request 
 = 
 ekg 
 . 
 DeleteEntityReconciliationJobRequest 
 ( 
 name 
 = 
 name 
 ) 
 # Make the request 
 client 
 . 
 delete_entity_reconciliation_job 
 ( 
 request 
 = 
 request 
 ) 
 print 
 ( 
 f 
 "Job: 
 { 
 name 
 } 
 successfully deleted" 
 )

Manage entity reconciliation jobs with the API Stay organized with collections Save and categorize content based on your preferences.

Create an entity reconciliation job

REST

curl

PowerShell

Python

Get an entity reconciliation job

REST

curl

PowerShell

Python

List entity reconciliation jobs

REST

curl

PowerShell

Python

Cancel an entity reconciliation job

REST

curl

PowerShell

Python

Delete an entity reconciliation job

REST

curl

PowerShell

Python

Manage entity reconciliation jobs with the API