From a594a897e1013cb7eb79851fc639af47dd7cf1e9 Mon Sep 17 00:00:00 2001 From: SumanMaharana Date: Thu, 7 Nov 2024 15:54:26 +0530 Subject: [PATCH 1/8] Added Azure Data factory Connector --- ingestion/setup.py | 4 + .../examples/workflows/datafactory.yaml | 29 +++ .../source/pipeline/datafactory/__init__.py | 0 .../source/pipeline/datafactory/client.py | 139 ++++++++++++ .../source/pipeline/datafactory/connection.py | 64 ++++++ .../source/pipeline/datafactory/metadata.py | 200 ++++++++++++++++++ .../pipeline/datafactory/service_spec.py | 4 + .../connectors/pipeline/connectors-list.md | 1 + .../connectors/pipeline/datafactory/index.md | 130 ++++++++++++ .../connectors/pipeline/datafactory/yaml.md | 198 +++++++++++++++++ .../datafactory/add-new-service.png | Bin 0 -> 114767 bytes .../connectors/datafactory/select-service.png | Bin 0 -> 220865 bytes .../datafactory/service-connection.png | Bin 0 -> 303564 bytes .../testConnections/pipeline/datafactory.json | 21 ++ .../pipeline/datafactoryConnection.json | 53 +++++ .../entity/services/pipelineService.json | 9 +- .../locales/en-US/Pipeline/DataFactory.md | 87 ++++++++ .../assets/img/service-icon-datafactory.png | Bin 0 -> 235385 bytes .../ui/src/constants/Services.constant.ts | 2 + .../ui/src/utils/PipelineServiceUtils.ts | 6 + .../ui/src/utils/ServiceUtilClassBase.ts | 4 + 21 files changed, 950 insertions(+), 1 deletion(-) create mode 100644 ingestion/src/metadata/examples/workflows/datafactory.yaml create mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/__init__.py create mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py create mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/connection.py create mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py create mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/service_spec.py create mode 100644 openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/index.md create mode 100644 openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md create mode 100644 openmetadata-docs/images/v1.6/connectors/datafactory/add-new-service.png create mode 100644 openmetadata-docs/images/v1.6/connectors/datafactory/select-service.png create mode 100644 openmetadata-docs/images/v1.6/connectors/datafactory/service-connection.png create mode 100644 openmetadata-service/src/main/resources/json/data/testConnections/pipeline/datafactory.json create mode 100644 openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/datafactoryConnection.json create mode 100644 openmetadata-ui/src/main/resources/ui/public/locales/en-US/Pipeline/DataFactory.md create mode 100644 openmetadata-ui/src/main/resources/ui/src/assets/img/service-icon-datafactory.png diff --git a/ingestion/setup.py b/ingestion/setup.py index 2903be311986..c0a7aee89a55 100644 --- a/ingestion/setup.py +++ b/ingestion/setup.py @@ -194,6 +194,10 @@ # databricks has a dependency on pyhive for metadata as well as profiler VERSIONS["pyhive"], }, + "datafactory": { + VERSIONS["azure-identity"], + "azure-mgmt-datafactory", + }, "datalake-azure": { VERSIONS["azure-storage-blob"], VERSIONS["azure-identity"], diff --git a/ingestion/src/metadata/examples/workflows/datafactory.yaml b/ingestion/src/metadata/examples/workflows/datafactory.yaml new file mode 100644 index 000000000000..d9e7e7b36b21 --- /dev/null +++ b/ingestion/src/metadata/examples/workflows/datafactory.yaml @@ -0,0 +1,29 @@ +source: + type: datafactory + serviceName: local_datafactory + serviceConnection: + config: + type: DataFactory + configSource: + clientId: client_id + clientSecret: client_secret + tenantId: tenant_id + accountName: account_name + subscription_id: subscription_id + resource_group_name: resource_group_name + factory_name: factory_name + run_filter_days : 7 + sourceConfig: + config: + type: PipelineMetadata +sink: + type: metadata-rest + config: {} +workflowConfig: + loggerLevel: INFO # DEBUG, INFO, WARN or ERROR + openMetadataServerConfig: + hostPort: http://localhost:8585/api + authProvider: openmetadata + securityConfig: + jwtToken: "eyJraWQiOiJHYjM4OWEtOWY3Ni1nZGpzLWE5MmotMDI0MmJrOTQzNTYiLCJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJzdWIiOiJhZG1pbiIsImlzQm90IjpmYWxzZSwiaXNzIjoib3Blbi1tZXRhZGF0YS5vcmciLCJpYXQiOjE2NjM5Mzg0NjIsImVtYWlsIjoiYWRtaW5Ab3Blbm1ldGFkYXRhLm9yZyJ9.tS8um_5DKu7HgzGBzS1VTA5uUjKWOCU0B_j08WXBiEC0mr0zNREkqVfwFDD-d24HlNEbrqioLsBuFRiwIWKc1m_ZlVQbG7P36RUxhuv2vbSp80FKyNM-Tj93FDzq91jsyNmsQhyNv_fNr3TXfzzSPjHt8Go0FMMP66weoKMgW2PbXlhVKwEuXUHyakLLzewm9UMeQaEiRzhiTMU3UkLXcKbYEJJvfNFcLwSl9W8JCO_l0Yj3ud-qt_nQYEZwqW6u5nfdQllN133iikV4fM5QZsMCnm8Rq1mvLR0y9bmJiD7fwM1tmJ791TUWqmKaTnP49U493VanKpUAfzIiOiIbhg" + \ No newline at end of file diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/__init__.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/__init__.py new file mode 100644 index 000000000000..e69de29bb2d1 diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py new file mode 100644 index 000000000000..56b660a12968 --- /dev/null +++ b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py @@ -0,0 +1,139 @@ +# Copyright 2021 Collate +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# http://www.apache.org/licenses/LICENSE-2.0 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Azure Datafactory Client +""" +import datetime +import traceback +from datetime import timezone +from typing import List, Optional + +from azure.mgmt.datafactory import DataFactoryManagementClient +from azure.mgmt.datafactory.models import ( + PipelineResource, + PipelineRun, + RunFilterParameters, + RunQueryFilter, +) + +from metadata.clients.azure_client import AzureClient +from metadata.generated.schema.entity.services.connections.pipeline.datafactoryConnection import ( + DataFactoryConnection, +) +from metadata.generated.schema.type.basic import SourceUrl +from metadata.utils.logger import ometa_logger + +logger = ometa_logger() + + +class DataFactoryClient: + """ + Wrapper on top of DataFactoryManagementClient + """ + + def __init__(self, config: DataFactoryConnection): + self.config = config + credential = AzureClient(self.config.configSource).create_client() + self.client = DataFactoryManagementClient( + credential=credential, subscription_id=self.config.subscription_id + ) + + def test_get_pipelines(self) -> List[PipelineResource]: + """ + test fetch pipelines + """ + pipelines = self.client.pipelines.list_by_factory( + resource_group_name=str(self.config.resource_group_name), + factory_name=str(self.config.factory_name), + ) + return list(pipelines) + + def test_get_pipeline_runs(self) -> List[PipelineRun]: + """ + test fetch pipeline runs + """ + days = self.config.run_filter_days + time_now = datetime.datetime.now() + time_from = time_now - datetime.timedelta(days=days) + filter_params = RunFilterParameters( + last_updated_after=time_from, last_updated_before=time_now + ) + pipeline_runs = self.client.pipeline_runs.query_by_factory( + resource_group_name=self.config.resource_group_name, + factory_name=self.config.factory_name, + filter_parameters=filter_params, + ) + + return pipeline_runs.value + + def get_all_pipelines(self) -> Optional[List[PipelineResource]]: + """ + Retrieves all pipelines in the Data Factory. + """ + try: + pipelines = self.client.pipelines.list_by_factory( + self.config.resource_group_name, self.config.factory_name + ) + return pipelines + except Exception as exc: + logger.debug(traceback.format_exc()) + logger.error(f"Unable to get pipeline info :{exc}") + + return None + + def get_pipeline_runs(self, pipeline_name: str) -> Optional[List[PipelineRun]]: + """ + Retrieves run information for a pipeline . + """ + try: + days = self.config.run_filter_days + time_now = datetime.datetime.now(timezone.utc) + time_from = time_now - datetime.timedelta(days=days) + filter_params = RunFilterParameters( + last_updated_after=time_from, + last_updated_before=time_now, + filters=[ + RunQueryFilter( + operand="PipelineName", + operator="Equals", + values=[str(pipeline_name)], + ) + ], + ) + + pipeline_runs = self.client.pipeline_runs.query_by_factory( + resource_group_name=self.config.resource_group_name, + factory_name=self.config.factory_name, + filter_parameters=filter_params, + ) + + return pipeline_runs.value + except Exception as exc: + logger.debug(traceback.format_exc()) + logger.error(f"Unable to get pipeline run info :{exc}") + + return None + + def get_pipeline_url(self, pipeline_id: str) -> Optional[SourceUrl]: + """ + Builds the pipeline url by its id run information for a pipeline . + """ + try: + pipeline_url = SourceUrl( + f"https://portal.azure.com/#@{self.config.configSource.tenantId}/resource{pipeline_id}" + ) + return pipeline_url + except Exception as exc: + logger.debug(traceback.format_exc()) + logger.error(f"Unable to get pipeline run info :{exc}") + + return None diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/connection.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/connection.py new file mode 100644 index 000000000000..6675248927b4 --- /dev/null +++ b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/connection.py @@ -0,0 +1,64 @@ +# Copyright 2021 Collate +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# http://www.apache.org/licenses/LICENSE-2.0 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +Source connection handler +""" + + +from typing import Optional + +from metadata.generated.schema.entity.automations.workflow import ( + Workflow as AutomationWorkflow, +) +from metadata.generated.schema.entity.services.connections.pipeline.datafactoryConnection import ( + DataFactoryConnection, +) +from metadata.generated.schema.entity.services.connections.testConnectionResult import ( + TestConnectionResult, +) +from metadata.ingestion.connections.test_connections import test_connection_steps +from metadata.ingestion.ometa.ometa_api import OpenMetadata +from metadata.ingestion.source.pipeline.datafactory.client import DataFactoryClient +from metadata.utils.constants import THREE_MIN + + +def get_connection(connection: DataFactoryConnection) -> DataFactoryClient: + """ + Create connection + """ + return DataFactoryClient(connection) + + +def test_connection( + metadata: OpenMetadata, + client: DataFactoryClient, + service_connection: DataFactoryConnection, + automation_workflow: Optional[AutomationWorkflow] = None, + timeout_seconds: Optional[int] = THREE_MIN, +) -> TestConnectionResult: + """ + Test connection. This can be executed either as part + of a metadata workflow or during an Automation Workflow + """ + + test_fn = { + "GetPipelines": client.test_get_pipelines, + "GetRuns": client.test_get_pipeline_runs, + } + + return test_connection_steps( + metadata=metadata, + test_fn=test_fn, + service_type=service_connection.type.value, + automation_workflow=automation_workflow, + timeout_seconds=timeout_seconds, + ) diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py new file mode 100644 index 000000000000..f5736e1de912 --- /dev/null +++ b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py @@ -0,0 +1,200 @@ +# Copyright 2021 Collate +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# http://www.apache.org/licenses/LICENSE-2.0 +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Azure Datafactory source to extract metadata from OM UI +""" +import traceback +from typing import Iterable, List, Optional + +from azure.mgmt.datafactory.models import PipelineResource + +from metadata.generated.schema.api.data.createPipeline import CreatePipelineRequest +from metadata.generated.schema.entity.data.pipeline import ( + Pipeline, + PipelineStatus, + StatusType, + Task, + TaskStatus, +) +from metadata.generated.schema.entity.services.connections.pipeline.datafactoryConnection import ( + DataFactoryConnection, +) +from metadata.generated.schema.entity.services.ingestionPipelines.status import ( + StackTraceError, +) +from metadata.generated.schema.metadataIngestion.workflow import ( + Source as WorkflowSource, +) +from metadata.generated.schema.type.basic import ( + EntityName, + FullyQualifiedEntityName, + Markdown, + Timestamp, +) +from metadata.ingestion.api.models import Either +from metadata.ingestion.api.steps import InvalidSourceException +from metadata.ingestion.models.pipeline_status import OMetaPipelineStatus +from metadata.ingestion.ometa.ometa_api import OpenMetadata +from metadata.ingestion.source.pipeline.pipeline_service import PipelineServiceSource +from metadata.utils import fqn +from metadata.utils.helpers import datetime_to_ts +from metadata.utils.logger import ingestion_logger + +logger = ingestion_logger() + +STATUS_MAP = { + "Queued": StatusType.Pending.value, + "InProgress": StatusType.Pending.value, + "Succeeded": StatusType.Successful.value, + "Failed": StatusType.Failed.value, + "Canceling": StatusType.Skipped.value, + "Cancelled": StatusType.Skipped.value, +} + + +class DataFactorySource(PipelineServiceSource): + """ + Implements the necessary methods ot extract + Pipeline metadata from Azure Data Factory + """ + + @classmethod + def create( + cls, config_dict, metadata: OpenMetadata, pipeline_name: Optional[str] = None + ): + config: WorkflowSource = WorkflowSource.model_validate(config_dict) + connection: DataFactoryConnection = config.serviceConnection.root.config + if not isinstance(connection, DataFactoryConnection): + raise InvalidSourceException( + f"Expected DataFactoryConnection, but got {connection}" + ) + return cls(config, metadata) + + def _get_task_list(self, pipeline_name: str) -> Optional[List[Task]]: + """ + Method to collect all the tasks from azure data factory pipeline and return it in a task list + """ + try: + task_list: List[Task] = [] + runs = self.client.get_pipeline_runs(pipeline_name=pipeline_name) + if runs: + task_list = [ + Task( + name=str(run.run_id), + startDate=str(run.run_start), + endDate=str(run.run_end), + description=Markdown(run.message) if run.message else None, + ) + for run in runs or [] + ] + return task_list or None + except Exception as exc: + logger.debug(traceback.format_exc()) + logger.warning(f"Failed to get tasks list due to : {exc}") + return None + + def yield_pipeline(self, pipeline_details: PipelineResource): + """Method to Get Pipeline Entity""" + try: + pipeline_request = CreatePipelineRequest( + name=EntityName(pipeline_details.name), + description=Markdown(pipeline_details.description) + if pipeline_details.description + else None, + sourceUrl=self.client.get_pipeline_url(pipeline_id=pipeline_details.id), + tasks=self._get_task_list(pipeline_name=pipeline_details.name), + service=FullyQualifiedEntityName(self.context.get().pipeline_service), + ) + yield Either(right=pipeline_request) + self.register_record(pipeline_request=pipeline_request) + except Exception as exc: + yield Either( + left=StackTraceError( + name=pipeline_details.name, + error=f"Wild error ingesting pipeline {pipeline_details} - {exc}", + stackTrace=traceback.format_exc(), + ) + ) + + def yield_pipeline_lineage_details(self, pipeline_details: PipelineResource): + """Get lineage between pipeline and data sources""" + return [] + + def get_pipelines_list(self) -> Iterable[PipelineResource]: + """Get List of all pipelines""" + try: + yield from self.client.get_all_pipelines() + except Exception as exc: + logger.debug(traceback.format_exc()) + logger.error(f"Failed to get pipeline list due to : {exc}") + + def get_pipeline_name(self, pipeline_details: PipelineResource) -> str: + """Get Pipeline Name""" + try: + return pipeline_details.name + except Exception as exc: + logger.debug(traceback.format_exc()) + logger.error(f"Failed to get pipeline name due to : {exc}") + + return None + + def yield_pipeline_status( + self, pipeline_details: PipelineResource + ) -> Iterable[Either[OMetaPipelineStatus]]: + """Get Pipeline Status""" + try: + for task in ( + self.client.get_pipeline_runs(pipeline_name=pipeline_details.name) or [] + ): + run_start = ( + Timestamp(datetime_to_ts(task.run_start)) + if task.run_start + else None + ) + run_end = ( + Timestamp(datetime_to_ts(task.run_end)) if task.run_end else None + ) + task_status = [ + TaskStatus( + name=str(task.run_id), + executionStatus=STATUS_MAP.get(task.status, StatusType.Pending), + startTime=run_start, + endTime=run_end, + ) + ] + + pipeline_status = PipelineStatus( + executionStatus=STATUS_MAP.get(task.status, StatusType.Pending), + taskStatus=task_status, + timestamp=run_start, + ) + + pipeline_fqn = fqn.build( + metadata=self.metadata, + entity_type=Pipeline, + service_name=self.context.get().pipeline_service, + pipeline_name=self.context.get().pipeline, + ) + yield Either( + right=OMetaPipelineStatus( + pipeline_fqn=pipeline_fqn, + pipeline_status=pipeline_status, + ) + ) + + except Exception as exc: + yield Either( + left=StackTraceError( + name=pipeline_details.name, + error=f"Wild error ingesting pipeline status {pipeline_details} - {exc}", + stackTrace=traceback.format_exc(), + ) + ) diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/service_spec.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/service_spec.py new file mode 100644 index 000000000000..d9f509b1ac01 --- /dev/null +++ b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/service_spec.py @@ -0,0 +1,4 @@ +from metadata.ingestion.source.pipeline.datafactory.metadata import DataFactorySource +from metadata.utils.service_spec import BaseSpec + +ServiceSpec = BaseSpec(metadata_source_class=DataFactorySource) diff --git a/openmetadata-docs/content/partials/v1.6/connectors/pipeline/connectors-list.md b/openmetadata-docs/content/partials/v1.6/connectors/pipeline/connectors-list.md index da48fd2b9819..db6868851c22 100644 --- a/openmetadata-docs/content/partials/v1.6/connectors/pipeline/connectors-list.md +++ b/openmetadata-docs/content/partials/v1.6/connectors/pipeline/connectors-list.md @@ -4,6 +4,7 @@ {% connectorInfoCard name="Airflow" stage="PROD" href="/connectors/pipeline/airflow" platform="OpenMetadata" / %} {% connectorInfoCard name="Dagster" stage="PROD" href="/connectors/pipeline/dagster" platform="OpenMetadata" / %} {% connectorInfoCard name="Databricks" stage="PROD" href="/connectors/pipeline/databricks-pipeline" platform="OpenMetadata" / %} +{% connectorInfoCard name="DataFactory" stage="PROD" href="/connectors/pipeline/datafactory" platform="OpenMetadata" / %} {% connectorInfoCard name="dbt Cloud" stage="PROD" href="/connectors/pipeline/dbtcloud" platform="OpenMetadata" / %} {% connectorInfoCard name="Domo" stage="PROD" href="/connectors/pipeline/domo-pipeline" platform="OpenMetadata" / %} {% connectorInfoCard name="Flink" stage="BETA" href="/connectors/pipeline/flink" platform="OpenMetadata" / %} diff --git a/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/index.md b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/index.md new file mode 100644 index 000000000000..b47101249e86 --- /dev/null +++ b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/index.md @@ -0,0 +1,130 @@ +--- +title: Data Factory +slug: /connectors/pipeline/datafactory +--- + +{% connectorDetailsHeader +name="DataFactory" +stage="PROD" +platform="OpenMetadata" +availableFeatures=["Pipelines", "Pipeline Status", "Lineage"] +unavailableFeatures=["Owners", "Tags"] +/ %} + + +In this section, we provide guides and references to use the Azure DataFactory connector. + +Configure and schedule Azure DataFactory metadata and profiler workflows from the OpenMetadata UI: + +- [Requirements](#requirements) + - [Data Factory Versions](#data-factory-versions) +- [Metadata Ingestion](#metadata-ingestion) + - [Service Name](#service-name) + - [Connection Details](#connection-details) + - [Metadata Ingestion Options](#metadata-ingestion-options) +- [Troubleshooting](#troubleshooting) + - [Workflow Deployment Error](#workflow-deployment-error) + +{% partial file="/v1.5/connectors/ingestion-modes-tiles.md" variables={yamlPath: "/connectors/pipeline/datafactory/yaml"} /%} + +## Requirements + +### Data Factory Versions + +The Ingestion framework uses [Azure Data Factory APIs](https://learn.microsoft.com/en-us/rest/api/datafactory/v2) to connect to the Data Factory and fetch metadata. + +You can find further information on the Azure Data Factory connector in the [docs](https://docs.open-metadata.org/connectors/pipeline/datafactory). + +## Permissions + +Ensure that the service principal or managed identity you’re using has the necessary permissions in the Data Factory resource (Reader, Contributor or Data Factory Contributor role at minimum). + + +## Metadata Ingestion + +{% partial + file="/v1.5/connectors/metadata-ingestion-ui.md" + variables={ + connector: "DataFactory", + selectServicePath: "/images/v1.6/connectors/datafactory/select-service.png", + addNewServicePath: "/images/v1.6/connectors/datafactory/add-new-service.png", + serviceConnectionPath: "/images/v1.6/connectors/datafactory/service-connection.png", + } +/%} + +{% stepsContainer %} +{% extraContent parentTagName="stepsContainer" %} + +#### Connection Details + +- **Subscription ID**: Your Azure subscription’s unique identifier. In the Azure portal, navigate to Subscriptions > Your Subscription > Overview. You’ll see the subscription ID listed there. + +- **Resource Group name** : This is the name of the resource group that contains your Data Factory instance. In the Azure portal, navigate to Resource Groups. Find your resource group, and note the name. + +- **Azure Data Factory name** : The name of your Data Factory instance. In the Azure portal, navigate to Data Factories and find your Data Factory. The Data Factory name will be listed there. + +- **Azure Data Factory pipeline runs day filter** : The days range when filtering pipeline runs. It specifies how many days back from the current date to look for pipeline runs, and filter runs within the given period of days. Default is `7` days. `Optional` + + +## Azure Data Factory Configuration + +- **Client ID** : To get the Client ID (also known as application ID), follow these steps: + +1. Log into [Microsoft Azure](https://ms.portal.azure.com/#allservices). +2. Search for `App registrations` and select the `App registrations link`. +3. Select the `Azure AD` app you're using for this connection. +4. From the Overview section, copy the `Application (client) ID`. + + +- **Client Secret** : To get the client secret, follow these steps: + +1. Log into [Microsoft Azure](https://ms.portal.azure.com/#allservices). +2. Search for `App registrations` and select the `App registrations link`. +3. Select the `Azure AD` app you're using for this connection. +4. Under `Manage`, select `Certificates & secrets`. +5. Under `Client secrets`, select `New client secret`. +6. In the `Add a client secret` pop-up window, provide a description for your application secret. Choose when the application should expire, and select `Add`. +7. From the `Client secrets` section, copy the string in the `Value` column of the newly created application secret. + + +- **Tenant ID** : To get the tenant ID, follow these steps: + +1. Log into [Microsoft Azure](https://ms.portal.azure.com/#allservices). +2. Search for `App registrations` and select the `App registrations link`. +3. Select the `Azure AD` app you're using for Power BI. +4. From the `Overview` section, copy the `Directory (tenant) ID`. + +- **Account Name** : Here are the step-by-step instructions for finding the account name for an Azure Data Lake Storage account: + +1. Sign in to the Azure portal and navigate to the `Storage accounts` page. +2. Find the Data Lake Storage account you want to access and click on its name. +3. In the account overview page, locate the `Account name` field. This is the unique identifier for the Data Lake Storage account. +4. You can use this account name to access and manage the resources associated with the account, such as creating and managing containers and directories. + + + +{% /extraContent %} + +{% partial file="/v1.5/connectors/test-connection.md" /%} + +{% partial file="/v1.5/connectors/pipeline/configure-ingestion.md" /%} + +{% partial file="/v1.5/connectors/ingestion-schedule-and-deploy.md" /%} + +{% /stepsContainer %} + +## Displaying Lineage Information +Steps to retrieve and display the lineage information for a Data Factory service. +1. Ingest Source and Sink Database Metadata: Identify both the source and sink database used by the Azure Data Factory service for example Redshift. Ingest metadata for these database. +2. Ingest Data Factory Service Metadata: Finally, Ingest your DData Factory service. + +By successfully completing these steps, the lineage information for the service will be displayed. + + +{% partial file="/v1.5/connectors/troubleshooting.md" /%} + +### Missing Lineage +If lineage information is not displayed for a Data Factory service, follow these steps to diagnose the issue. +1. *Permissions*: Ensure that the service principal or managed identity you’re using has the necessary permissions in the Data Factory resource. (Reader, Contributor or Data Factory Contributor role at minimum). +2. *Metadata Ingestion*: Ensure that metadata for both the source and sink database is ingested and passed to the lineage system. This typically involves configuring the relevant connectors to capture and transmit this information. +3. *Run Successful*: Ensure that the Pipeline Run is successful. diff --git a/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md new file mode 100644 index 000000000000..25ef5416d86d --- /dev/null +++ b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md @@ -0,0 +1,198 @@ +--- +title: Run the Data Factory Connector Externally +slug: /connectors/pipeline/datafactory/yaml +--- + +{% connectorDetailsHeader +name="DataFactory" +stage="PROD" +platform="OpenMetadata" +availableFeatures=["Pipelines", "Pipeline Status", "Lineage"] +unavailableFeatures=["Owners", "Tags"] +/ %} + + +In this section, we provide guides and references to use the Azure DataFactory connector. + +Configure and schedule Azure DataFactory metadata and profiler workflows from the OpenMetadata UI: + +- [Requirements](#requirements) + - [Data Factory Versions](#data-factory-versions) +- [Metadata Ingestion](#metadata-ingestion) + +{% partial file="/v1.5/connectors/external-ingestion-deployment.md" /%} + +## Requirements + +### Data Factory Versions + +The Ingestion framework uses [Azure Data Factory APIs](https://learn.microsoft.com/en-us/rest/api/datafactory/v2) to connect to the Data Factory and fetch metadata. + +You can find further information on the Azure Data Factory connector in the [docs](https://docs.open-metadata.org/connectors/pipeline/datafactory). + +## Permissions + +Ensure that the service principal or managed identity you’re using has the necessary permissions in the Data Factory resource (Reader, Contributor or Data Factory Contributor role at minimum). + +### Python Requirements + +{% partial file="/v1.5/connectors/python-requirements.md" /%} + +## Metadata Ingestion + +All connectors are defined as JSON Schemas. +[Here](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/datafactoryConnection.json) +you can find the structure to create a connection to Data Factory. + +In order to create and run a Metadata Ingestion workflow, we will follow +the steps to create a YAML configuration able to connect to the source, +process the Entities if needed, and reach the OpenMetadata server. + +The workflow is modeled around the following +[JSON Schema](https://github.com/open-metadata/OpenMetadata/blob/main/openmetadata-spec/src/main/resources/json/schema/metadataIngestion/workflow.json) + +### 1. Define the YAML Config + +This is a sample config for Data Factory: + +{% codePreview %} + +{% codeInfoContainer %} + +#### Source Configuration - Service Connection + +{% codeInfo srNumber=1 %} + +**clientId**: To get the Client ID (also known as application ID), follow these steps: + +1. Log into [Microsoft Azure](https://ms.portal.azure.com/#allservices). +2. Search for `App registrations` and select the `App registrations link`. +3. Select the `Azure AD` app you're using for this connection. +4. From the Overview section, copy the `Application (client) ID`. + +{% /codeInfo %} + + +{% codeInfo srNumber=2 %} + +**clientSecret**: To get the client secret, follow these steps: + +1. Log into [Microsoft Azure](https://ms.portal.azure.com/#allservices). +2. Search for `App registrations` and select the `App registrations link`. +3. Select the `Azure AD` app you're using for this connection. +4. Under `Manage`, select `Certificates & secrets`. +5. Under `Client secrets`, select `New client secret`. +6. In the `Add a client secret` pop-up window, provide a description for your application secret. Choose when the application should expire, and select `Add`. +7. From the `Client secrets` section, copy the string in the `Value` column of the newly created application secret. + +{% /codeInfo %} + + +{% codeInfo srNumber=3 %} + +**tenantId**: To get the tenant ID, follow these steps: + +1. Log into [Microsoft Azure](https://ms.portal.azure.com/#allservices). +2. Search for `App registrations` and select the `App registrations link`. +3. Select the `Azure AD` app you're using for Power BI. +4. From the `Overview` section, copy the `Directory (tenant) ID`. + +{% /codeInfo %} + + +{% codeInfo srNumber=4 %} + +**accountName**: Here are the step-by-step instructions for finding the account name for an Azure Data Lake Storage account: + +1. Sign in to the Azure portal and navigate to the `Storage accounts` page. +2. Find the Data Lake Storage account you want to access and click on its name. +3. In the account overview page, locate the `Account name` field. This is the unique identifier for the Data Lake Storage account. +4. You can use this account name to access and manage the resources associated with the account, such as creating and managing containers and directories. + +{% /codeInfo %} + + +{% codeInfo srNumber=5 %} + +**subscription_id**: Your Azure subscription’s unique identifier. In the Azure portal, navigate to Subscriptions > Your Subscription > Overview. You’ll see the subscription ID listed there. + +{% /codeInfo %} + + +{% codeInfo srNumber=6 %} + +**resource_group_name**: This is the name of the resource group that contains your Data Factory instance. In the Azure portal, navigate to Resource Groups. Find your resource group, and note the name. + +{% /codeInfo %} + + +{% codeInfo srNumber=7 %} + +**factory_name**: The name of your Data Factory instance. In the Azure portal, navigate to Data Factories and find your Data Factory. The Data Factory name will be listed there. + +{% /codeInfo %} + + +{% codeInfo srNumber=8 %} + +**run_filter_days**: The days range when filtering pipeline runs. It specifies how many days back from the current date to look for pipeline runs, and filter runs within the given period of days. Default is `7` days. `Optional` + +{% /codeInfo %} + + +{% partial file="/v1.5/connectors/yaml/pipeline/source-config-def.md" /%} + +{% partial file="/v1.5/connectors/yaml/ingestion-sink-def.md" /%} + +{% partial file="/v1.5/connectors/yaml/workflow-config-def.md" /%} + +{% /codeInfoContainer %} + +{% codeBlock fileName="filename.yaml" %} + + +```yaml {% isCodeBlock=true %} +source: + type: datafactory + serviceName: datafactory_source + serviceConnection: + config: + type: DataFactory + configSource: +``` +```yaml {% srNumber=1 %} + clientId: client_id +``` +```yaml {% srNumber=2 %} + clientSecret: client_secret +``` +```yaml {% srNumber=3 %} + tenantId: tenant_id +``` +```yaml {% srNumber=4 %} + accountName: account_name +``` +```yaml {% srNumber=5 %} + subscription_id: subscription_id +``` +```yaml {% srNumber=6 %} + resource_group_name: resource_group_name +``` +```yaml {% srNumber=7 %} + factory_name: factory_name +``` +```yaml {% srNumber=8 %} + run_filter_days: 7 +``` + +{% 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ztG*XhPIf?_GZrv{T1bsO!&Y;O9f#z3#(S%?%%I1-A%d+yiPC}20fL`6KrYTYF>Kh*xvp3#*f_McfWYi8M{*u@K^3Qk) zbh6tvVXEyQB-ShOpx@1ute#QU25IgIvCtzTVDsR%ct=+PEq0NXf5F<4ox?nI4g4o9A%8ac I%;j7EAL8Mko&W#< literal 0 HcmV?d00001 diff --git a/openmetadata-service/src/main/resources/json/data/testConnections/pipeline/datafactory.json b/openmetadata-service/src/main/resources/json/data/testConnections/pipeline/datafactory.json new file mode 100644 index 000000000000..d4fb5529e45b --- /dev/null +++ b/openmetadata-service/src/main/resources/json/data/testConnections/pipeline/datafactory.json @@ -0,0 +1,21 @@ +{ + "name": "DataFactory", + "displayName": "Azure DataFactory Test Connection", + "description": "This Test Connection validates the access against the server and basic metadata extraction of pipelines.", + "steps": [ + { + "name": "GetPipelines", + "description": "Validate that the API can fetch pipelines.", + "errorMessage": "Failed to fetch pipelines info please validate the credentials or validate if user has access to fetch pipelines", + "shortCircuit": true, + "mandatory": true + }, + { + "name": "GetRuns", + "description": "Validate that the API can fetch pipeline runs.", + "errorMessage": "Failed to fetch pipelines runs info please validate the credentials or validate if user has access to fetch pipelines runs or the pipeline has run ", + "shortCircuit": true, + "mandatory": true + } + ] +} \ No newline at end of file diff --git a/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/datafactoryConnection.json b/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/datafactoryConnection.json new file mode 100644 index 000000000000..1eedb5348217 --- /dev/null +++ b/openmetadata-spec/src/main/resources/json/schema/entity/services/connections/pipeline/datafactoryConnection.json @@ -0,0 +1,53 @@ +{ + "$id": "https://open-metadata.org/schema/entity/services/connections/pipeline/datafactoryConnection.json", + "$schema": "http://json-schema.org/draft-07/schema#", + "title": "DataFactoryConnection", + "description": "Azure Data Factory Connection Config", + "type": "object", + "javaType": "org.openmetadata.schema.services.connections.pipeline.DataFactoryConnection", + "definitions": { + "DataFactoryType": { + "description": "Service type.", + "type": "string", + "enum": ["DataFactory"], + "default": "DataFactory" + } + }, + "properties": { + "type": { + "title": "Service Type", + "description": "Service Type", + "$ref": "#/definitions/DataFactoryType", + "default": "DataFactory" + }, + "subscription_id": { + "title": "Subscription ID", + "description": "The azure subscription identifier.", + "type": "string" + }, + "resource_group_name": { + "title": "Resource Group name", + "description": "The name of your resource group the data factory is associated with.", + "type": "string" + }, + "factory_name": { + "title": "Azure Data Factory name", + "description": "The name of your azure data factory.", + "type": "string" + }, + "run_filter_days": { + "title": "Azure Data Factory pipeline runs day filter", + "description": "Number of days in the past to filter pipeline runs.", + "type": "integer", + "default": 7 + }, + "configSource": { + "title": "Azure Data Factory Configuration", + "description": "Available sources to fetch metadata.", + "$ref": "../../../../security/credentials/azureCredentials.json" + } + }, + "additionalProperties": false, + "required": ["subscription_id", "resource_group_name", "factory_name"] + } + \ No newline at end of file diff --git a/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json b/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json index 826eff00d8e2..9fb99050b6a9 100644 --- a/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json +++ b/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json @@ -32,7 +32,8 @@ "OpenLineage", "KafkaConnect", "DBTCloud", - "Matillion" + "Matillion", + "DataFactory" ], "javaEnums": [ { @@ -82,6 +83,9 @@ }, { "name": "Matillion" + }, + { + "name": "DataFactory" } ] }, @@ -143,6 +147,9 @@ }, { "$ref": "./connections/pipeline/matillionConnection.json" + }, + { + "$ref": "./connections/pipeline/datafactoryConnection.json" } ] } diff --git a/openmetadata-ui/src/main/resources/ui/public/locales/en-US/Pipeline/DataFactory.md b/openmetadata-ui/src/main/resources/ui/public/locales/en-US/Pipeline/DataFactory.md new file mode 100644 index 000000000000..16959622c18a --- /dev/null +++ b/openmetadata-ui/src/main/resources/ui/public/locales/en-US/Pipeline/DataFactory.md @@ -0,0 +1,87 @@ +# Data Factory +In this section, we provide guides and references to use the DataFactory connector. + +## Requirements + +The Ingestion framework uses [Azure Data Factory APIs](https://learn.microsoft.com/en-us/rest/api/datafactory/v2) to connect to the Data Factory and fetch metadata. + +You can find further information on the Azure Data Factory connector in the [docs](https://docs.open-metadata.org/connectors/pipeline/datafactory). + + +## Permissions + +Ensure that the service principal or managed identity you’re using has the necessary permissions in the Data Factory resource. (Reader, Contributor or Data Factory Contributor role at minimum). + + +## Connection Details +$$section +### Subscription ID $(id="subscription_id") +Your Azure subscription’s unique identifier. In the Azure portal, navigate to Subscriptions > Your Subscription > Overview. You’ll see the subscription ID listed there. +$$ + +$$section +### Resource Group name $(id="resource_group_name") +This is the name of the resource group that contains your Data Factory instance. In the Azure portal, navigate to Resource Groups. Find your resource group, and note the name. +$$ + +$$section +### Azure Data Factory name $(id="factory_name") +The name of your Data Factory instance. In the Azure portal, navigate to Data Factories and find your Data Factory. The Data Factory name will be listed there. +$$ + +$$section +### Azure Data Factory pipeline runs day filter $(id="run_filter_days") +The days range when filtering pipeline runs. It specifies how many days back from the current date to look for pipeline runs, and filter runs within the given period of days. Default is `7` days. `Optional` +$$ + +$$section +### Azure Data Factory Configuration $(id="configSource") +$$ + +$$section +### Client ID $(id="clientId") +To get the Client ID (also known as application ID), follow these steps: + +1. Log into [Microsoft Azure](https://ms.portal.azure.com/#allservices). +2. Search for `App registrations` and select the `App registrations link`. +3. Select the `Azure AD` app you're using for this connection. +4. From the Overview section, copy the `Application (client) ID`. + +$$ + +$$section +### Client Secret $(id="clientSecret") +To get the client secret, follow these steps: + +1. Log into [Microsoft Azure](https://ms.portal.azure.com/#allservices). +2. Search for `App registrations` and select the `App registrations link`. +3. Select the `Azure AD` app you're using for this connection. +4. Under `Manage`, select `Certificates & secrets`. +5. Under `Client secrets`, select `New client secret`. +6. In the `Add a client secret` pop-up window, provide a description for your application secret. Choose when the application should expire, and select `Add`. +7. From the `Client secrets` section, copy the string in the `Value` column of the newly created application secret. + +$$ + +$$section +### Tenant ID $(id="tenantId") + +To get the tenant ID, follow these steps: + +1. Log into [Microsoft Azure](https://ms.portal.azure.com/#allservices). +2. Search for `App registrations` and select the `App registrations link`. +3. Select the `Azure AD` app you're using for Power BI. +4. From the `Overview` section, copy the `Directory (tenant) ID`. +$$ + +$$section +### Account Name $(id="accountName") + +Here are the step-by-step instructions for finding the account name for an Azure Data Lake Storage account: + +1. Sign in to the Azure portal and navigate to the `Storage accounts` page. +2. Find the Data Lake Storage account you want to access and click on its name. +3. In the account overview page, locate the `Account name` field. This is the unique identifier for the Data Lake Storage account. +4. You can use this account name to access and manage the resources associated with the account, such as creating and managing containers and directories. +$$ + diff --git a/openmetadata-ui/src/main/resources/ui/src/assets/img/service-icon-datafactory.png b/openmetadata-ui/src/main/resources/ui/src/assets/img/service-icon-datafactory.png new file mode 100644 index 0000000000000000000000000000000000000000..e072523b29a5b58c3e6ea48773d6bf9fbc7b44bb GIT binary patch literal 235385 zcmZU52V7HU_kSEMZB=M%D<~0c4N!}Mia?mLufEzaD;Tj%5ej96FvBLkR;g8>CMdFN zEg*q_f{YMG6qQB=R16VFAVL5k5S9=&|8s*Q{Ql2J37VVdp7}lFIX4%6vN^ixvu&TD zP^eA#9}nB1P@8{;zZX9F82;z#{o_P<`IPkI&mkz3S1Iy$P0P(Z2K?vN(EpwcwGZ?P zCA$azf+Ca2IzB|d5D$0KFFJw2-Wd|pZ79?Z6#noJ$0IU_`QlU;X>7N&g`Bfy&7V7h zGPZ8qaqr7-TL1pB@#=41yB+R07T{=Yw<}!NqNDgqe6el%*UW(G`^H!QV-oh?N6jBy z-k$OF+?U^dilN*U?nmkF*sC|+si5)`M&nV+kEc97F5x*wXLTE4v6Jn|{ZDA*kAOUs zL6&)Jl=Q5Ud6hQ4*o9?axUu1EHeW(tjL~V|sxC z@-P0y>S)QME80q$oQ%LaW(l3n8qI0)GBGqT2tUrv#Ad 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z%?4n$3z6I(>RRmMLspFf|NicegH}x-w@A>Oc;lmMA*er@3D)DOo0pQOv~Rvs+!F)t zs35WbXcDP=$V6+yahA=x!GqO@%Rmo|Oto%7p-qSDNS)`}ZZix+h7SlenTaqjFJZUKgp&O_%^i5%o^J;qE{XD;{ChJ*MjIo1(IF zRpmLq-*a=;^P(IG*?=u*;Ri*v?0>AVFtZH68tJRz8>`9d%%jWUq7gFS`j+0*D43`tB+g>9jBc!(eKUcS3Ft!d@A95(vTh69NPE9RD zd)sm~OHgHOSClB2tw$xtZpQ30Y2O!sQ@qH?!A`u2ww4!)xZ?M#-zvhSmYx5>rQ|hY z3PPs$bS*&n=JLIKGm&xVIw;UCTT;n~6!lw92!fz}Ee}2)X9{5zUf-I)L%>RaHdIgw^C3%yK}{XTtAU_8$fDS6ydSEUSNye^X5ylztj;=l9kAL!BbsXx_w7OYH+vjjV(HQ}-KsUe { break; } + case PipelineServiceType.DataFactory: { + schema = datafactoryConnection; + + break; + } case PipelineServiceType.DBTCloud: { schema = dbtCloudConnection; diff --git a/openmetadata-ui/src/main/resources/ui/src/utils/ServiceUtilClassBase.ts b/openmetadata-ui/src/main/resources/ui/src/utils/ServiceUtilClassBase.ts index adcab3a38e08..705d4e5fbb43 100644 --- a/openmetadata-ui/src/main/resources/ui/src/utils/ServiceUtilClassBase.ts +++ b/openmetadata-ui/src/main/resources/ui/src/utils/ServiceUtilClassBase.ts @@ -32,6 +32,7 @@ import { DASHBOARD_DEFAULT, DATABASE_DEFAULT, DATABRICK, + DATAFACTORY, DATALAKE, DBT, DEFAULT_SERVICE, @@ -431,6 +432,9 @@ class ServiceUtilClassBase { case this.PipelineServiceTypeSmallCase.DBTCloud: return DBT; + case this.PipelineServiceTypeSmallCase.DataFactory: + return DATAFACTORY; + case this.PipelineServiceTypeSmallCase.GluePipeline: return GLUE; From 22f6c24b98b25baf64c2aa3b5a6ac19a7b2e6d14 Mon Sep 17 00:00:00 2001 From: SumanMaharana Date: Thu, 7 Nov 2024 20:16:05 +0530 Subject: [PATCH 2/8] Added Lineage data factory --- .../source/pipeline/datafactory/client.py | 22 ++- .../source/pipeline/datafactory/metadata.py | 126 +++++++++++++++++- 2 files changed, 145 insertions(+), 3 deletions(-) diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py index 56b660a12968..29e22a7e3fb9 100644 --- a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py +++ b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py @@ -19,6 +19,7 @@ from azure.mgmt.datafactory import DataFactoryManagementClient from azure.mgmt.datafactory.models import ( + DatasetResource, PipelineResource, PipelineRun, RunFilterParameters, @@ -134,6 +135,25 @@ def get_pipeline_url(self, pipeline_id: str) -> Optional[SourceUrl]: return pipeline_url except Exception as exc: logger.debug(traceback.format_exc()) - logger.error(f"Unable to get pipeline run info :{exc}") + logger.warning(f"Unable to get pipeline url :{exc}") + + return None + + def get_dataset_info( + self, dataset_reference: str + ) -> Optional[List[DatasetResource]]: + """ + Retrieves dataset info in the Data Factory. + """ + try: + dataset = self.client.datasets.get( + self.config.resource_group_name, + self.config.factory_name, + dataset_reference, + ) + return dataset.properties + except Exception as exc: + logger.debug(traceback.format_exc()) + logger.warning(f"Unable to get dataset info :{exc}") return None diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py index f5736e1de912..2f52c6b85769 100644 --- a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py +++ b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py @@ -17,6 +17,8 @@ from azure.mgmt.datafactory.models import PipelineResource from metadata.generated.schema.api.data.createPipeline import CreatePipelineRequest +from metadata.generated.schema.api.lineage.addLineage import AddLineageRequest +from metadata.generated.schema.entity.data.container import Container from metadata.generated.schema.entity.data.pipeline import ( Pipeline, PipelineStatus, @@ -24,6 +26,7 @@ Task, TaskStatus, ) +from metadata.generated.schema.entity.data.table import Table from metadata.generated.schema.entity.services.connections.pipeline.datafactoryConnection import ( DataFactoryConnection, ) @@ -39,6 +42,9 @@ Markdown, Timestamp, ) +from metadata.generated.schema.type.entityLineage import EntitiesEdge, LineageDetails +from metadata.generated.schema.type.entityLineage import Source as LineageSource +from metadata.generated.schema.type.entityReference import EntityReference from metadata.ingestion.api.models import Either from metadata.ingestion.api.steps import InvalidSourceException from metadata.ingestion.models.pipeline_status import OMetaPipelineStatus @@ -101,6 +107,83 @@ def _get_task_list(self, pipeline_name: str) -> Optional[List[Task]]: logger.warning(f"Failed to get tasks list due to : {exc}") return None + def _get_lineage_entities( + self, pipeline_details: PipelineResource + ) -> Optional[dict]: + """ + Get the Lineage Details for the pipeline + """ + lineage_entities = {"sources": [], "targets": []} + + def fetch_entity(dataset, is_source=True): + """ + Helper function to fetch entities based on dataset attributes and append to lineage_entities. + """ + entity_list = ( + lineage_entities["sources"] + if is_source + else lineage_entities["targets"] + ) + + if hasattr(dataset, "table"): + for db_service_name in self.get_db_service_names(): + entity = self.metadata.get_entity_reference( + entity=Table, + fqn=fqn.build( + metadata=self.metadata, + entity_type=Table, + table_name=dataset.table, + database_name=None, + schema_name=dataset.schema_type_properties_schema, + service_name=db_service_name, + ), + ) + if entity: + entity_list.append(entity) + break + + elif hasattr(dataset, "location") and hasattr( + dataset.location, "bucket_name" + ): + for storage_service_name in self.get_storage_service_names(): + entity = self.metadata.get_entity_reference( + entity=Container, + fqn=fqn.build( + metadata=self.metadata, + entity_type=Container, + service_name=storage_service_name, + parent_container="", + container_name=dataset.location.bucket_name, + ), + ) + if entity: + entity_list.append(entity) + break + + try: + for activity in pipeline_details.activities: + if activity.inputs: + for activity_input in activity.inputs: + dataset_input = self.client.get_dataset_info( + activity_input.reference_name + ) + fetch_entity(dataset_input, is_source=True) + + if activity.outputs: + for activity_output in activity.outputs: + dataset_output = self.client.get_dataset_info( + activity_output.reference_name + ) + fetch_entity(dataset_output, is_source=False) + + except Exception as exc: + logger.debug(traceback.format_exc()) + logger.warning( + f"Failed to get lineage details for pipeline: {pipeline_details} due to: {exc}" + ) + + return lineage_entities + def yield_pipeline(self, pipeline_details: PipelineResource): """Method to Get Pipeline Entity""" try: @@ -124,9 +207,48 @@ def yield_pipeline(self, pipeline_details: PipelineResource): ) ) - def yield_pipeline_lineage_details(self, pipeline_details: PipelineResource): + def yield_pipeline_lineage_details( + self, pipeline_details: PipelineResource + ) -> Iterable[Either[AddLineageRequest]]: """Get lineage between pipeline and data sources""" - return [] + try: + pipeline_fqn = fqn.build( + metadata=self.metadata, + entity_type=Pipeline, + service_name=self.context.get().pipeline_service, + pipeline_name=self.context.get().pipeline, + ) + + pipeline_entity = self.metadata.get_by_name( + entity=Pipeline, fqn=pipeline_fqn + ) + + lineage_details = LineageDetails( + pipeline=EntityReference(id=pipeline_entity.id.root, type="pipeline"), + source=LineageSource.PipelineLineage, + ) + + lineage_enities = self._get_lineage_entities(pipeline_details) + for source in lineage_enities.get("sources"): + for target in lineage_enities.get("targets"): + yield Either( + right=AddLineageRequest( + edge=EntitiesEdge( + fromEntity=source, + toEntity=target, + lineageDetails=lineage_details, + ) + ) + ) + + except Exception as exc: + yield Either( + left=StackTraceError( + name=pipeline_details.name, + error=f"Wild error ingesting pipeline lineage {pipeline_details} - {exc}", + stackTrace=traceback.format_exc(), + ) + ) def get_pipelines_list(self) -> Iterable[PipelineResource]: """Get List of all pipelines""" From de405b5390e83b8daa3d6303b05fde823ed08b53 Mon Sep 17 00:00:00 2001 From: SumanMaharana Date: Thu, 7 Nov 2024 20:53:04 +0530 Subject: [PATCH 3/8] removed not required files --- .../source/pipeline/datafactory/__init__.py | 0 .../source/pipeline/datafactory/client.py | 159 --------- .../source/pipeline/datafactory/connection.py | 64 ---- .../source/pipeline/datafactory/metadata.py | 322 ------------------ .../pipeline/datafactory/service_spec.py | 4 - .../content/v1.6.x-SNAPSHOT/menu.md | 4 + .../ui/src/utils/ServiceUtilClassBase.ts | 5 +- 7 files changed, 5 insertions(+), 553 deletions(-) delete mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/__init__.py delete mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py delete mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/connection.py delete mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py delete mode 100644 ingestion/src/metadata/ingestion/source/pipeline/datafactory/service_spec.py diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/__init__.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py deleted file mode 100644 index 29e22a7e3fb9..000000000000 --- a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/client.py +++ /dev/null @@ -1,159 +0,0 @@ -# Copyright 2021 Collate -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# http://www.apache.org/licenses/LICENSE-2.0 -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -""" -Azure Datafactory Client -""" -import datetime -import traceback -from datetime import timezone -from typing import List, Optional - -from azure.mgmt.datafactory import DataFactoryManagementClient -from azure.mgmt.datafactory.models import ( - DatasetResource, - PipelineResource, - PipelineRun, - RunFilterParameters, - RunQueryFilter, -) - -from metadata.clients.azure_client import AzureClient -from metadata.generated.schema.entity.services.connections.pipeline.datafactoryConnection import ( - DataFactoryConnection, -) -from metadata.generated.schema.type.basic import SourceUrl -from metadata.utils.logger import ometa_logger - -logger = ometa_logger() - - -class DataFactoryClient: - """ - Wrapper on top of DataFactoryManagementClient - """ - - def __init__(self, config: DataFactoryConnection): - self.config = config - credential = AzureClient(self.config.configSource).create_client() - self.client = DataFactoryManagementClient( - credential=credential, subscription_id=self.config.subscription_id - ) - - def test_get_pipelines(self) -> List[PipelineResource]: - """ - test fetch pipelines - """ - pipelines = self.client.pipelines.list_by_factory( - resource_group_name=str(self.config.resource_group_name), - factory_name=str(self.config.factory_name), - ) - return list(pipelines) - - def test_get_pipeline_runs(self) -> List[PipelineRun]: - """ - test fetch pipeline runs - """ - days = self.config.run_filter_days - time_now = datetime.datetime.now() - time_from = time_now - datetime.timedelta(days=days) - filter_params = RunFilterParameters( - last_updated_after=time_from, last_updated_before=time_now - ) - pipeline_runs = self.client.pipeline_runs.query_by_factory( - resource_group_name=self.config.resource_group_name, - factory_name=self.config.factory_name, - filter_parameters=filter_params, - ) - - return pipeline_runs.value - - def get_all_pipelines(self) -> Optional[List[PipelineResource]]: - """ - Retrieves all pipelines in the Data Factory. - """ - try: - pipelines = self.client.pipelines.list_by_factory( - self.config.resource_group_name, self.config.factory_name - ) - return pipelines - except Exception as exc: - logger.debug(traceback.format_exc()) - logger.error(f"Unable to get pipeline info :{exc}") - - return None - - def get_pipeline_runs(self, pipeline_name: str) -> Optional[List[PipelineRun]]: - """ - Retrieves run information for a pipeline . - """ - try: - days = self.config.run_filter_days - time_now = datetime.datetime.now(timezone.utc) - time_from = time_now - datetime.timedelta(days=days) - filter_params = RunFilterParameters( - last_updated_after=time_from, - last_updated_before=time_now, - filters=[ - RunQueryFilter( - operand="PipelineName", - operator="Equals", - values=[str(pipeline_name)], - ) - ], - ) - - pipeline_runs = self.client.pipeline_runs.query_by_factory( - resource_group_name=self.config.resource_group_name, - factory_name=self.config.factory_name, - filter_parameters=filter_params, - ) - - return pipeline_runs.value - except Exception as exc: - logger.debug(traceback.format_exc()) - logger.error(f"Unable to get pipeline run info :{exc}") - - return None - - def get_pipeline_url(self, pipeline_id: str) -> Optional[SourceUrl]: - """ - Builds the pipeline url by its id run information for a pipeline . - """ - try: - pipeline_url = SourceUrl( - f"https://portal.azure.com/#@{self.config.configSource.tenantId}/resource{pipeline_id}" - ) - return pipeline_url - except Exception as exc: - logger.debug(traceback.format_exc()) - logger.warning(f"Unable to get pipeline url :{exc}") - - return None - - def get_dataset_info( - self, dataset_reference: str - ) -> Optional[List[DatasetResource]]: - """ - Retrieves dataset info in the Data Factory. - """ - try: - dataset = self.client.datasets.get( - self.config.resource_group_name, - self.config.factory_name, - dataset_reference, - ) - return dataset.properties - except Exception as exc: - logger.debug(traceback.format_exc()) - logger.warning(f"Unable to get dataset info :{exc}") - - return None diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/connection.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/connection.py deleted file mode 100644 index 6675248927b4..000000000000 --- a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/connection.py +++ /dev/null @@ -1,64 +0,0 @@ -# Copyright 2021 Collate -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# http://www.apache.org/licenses/LICENSE-2.0 -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -""" -Source connection handler -""" - - -from typing import Optional - -from metadata.generated.schema.entity.automations.workflow import ( - Workflow as AutomationWorkflow, -) -from metadata.generated.schema.entity.services.connections.pipeline.datafactoryConnection import ( - DataFactoryConnection, -) -from metadata.generated.schema.entity.services.connections.testConnectionResult import ( - TestConnectionResult, -) -from metadata.ingestion.connections.test_connections import test_connection_steps -from metadata.ingestion.ometa.ometa_api import OpenMetadata -from metadata.ingestion.source.pipeline.datafactory.client import DataFactoryClient -from metadata.utils.constants import THREE_MIN - - -def get_connection(connection: DataFactoryConnection) -> DataFactoryClient: - """ - Create connection - """ - return DataFactoryClient(connection) - - -def test_connection( - metadata: OpenMetadata, - client: DataFactoryClient, - service_connection: DataFactoryConnection, - automation_workflow: Optional[AutomationWorkflow] = None, - timeout_seconds: Optional[int] = THREE_MIN, -) -> TestConnectionResult: - """ - Test connection. This can be executed either as part - of a metadata workflow or during an Automation Workflow - """ - - test_fn = { - "GetPipelines": client.test_get_pipelines, - "GetRuns": client.test_get_pipeline_runs, - } - - return test_connection_steps( - metadata=metadata, - test_fn=test_fn, - service_type=service_connection.type.value, - automation_workflow=automation_workflow, - timeout_seconds=timeout_seconds, - ) diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py deleted file mode 100644 index 2f52c6b85769..000000000000 --- a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/metadata.py +++ /dev/null @@ -1,322 +0,0 @@ -# Copyright 2021 Collate -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# http://www.apache.org/licenses/LICENSE-2.0 -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" -Azure Datafactory source to extract metadata from OM UI -""" -import traceback -from typing import Iterable, List, Optional - -from azure.mgmt.datafactory.models import PipelineResource - -from metadata.generated.schema.api.data.createPipeline import CreatePipelineRequest -from metadata.generated.schema.api.lineage.addLineage import AddLineageRequest -from metadata.generated.schema.entity.data.container import Container -from metadata.generated.schema.entity.data.pipeline import ( - Pipeline, - PipelineStatus, - StatusType, - Task, - TaskStatus, -) -from metadata.generated.schema.entity.data.table import Table -from metadata.generated.schema.entity.services.connections.pipeline.datafactoryConnection import ( - DataFactoryConnection, -) -from metadata.generated.schema.entity.services.ingestionPipelines.status import ( - StackTraceError, -) -from metadata.generated.schema.metadataIngestion.workflow import ( - Source as WorkflowSource, -) -from metadata.generated.schema.type.basic import ( - EntityName, - FullyQualifiedEntityName, - Markdown, - Timestamp, -) -from metadata.generated.schema.type.entityLineage import EntitiesEdge, LineageDetails -from metadata.generated.schema.type.entityLineage import Source as LineageSource -from metadata.generated.schema.type.entityReference import EntityReference -from metadata.ingestion.api.models import Either -from metadata.ingestion.api.steps import InvalidSourceException -from metadata.ingestion.models.pipeline_status import OMetaPipelineStatus -from metadata.ingestion.ometa.ometa_api import OpenMetadata -from metadata.ingestion.source.pipeline.pipeline_service import PipelineServiceSource -from metadata.utils import fqn -from metadata.utils.helpers import datetime_to_ts -from metadata.utils.logger import ingestion_logger - -logger = ingestion_logger() - -STATUS_MAP = { - "Queued": StatusType.Pending.value, - "InProgress": StatusType.Pending.value, - "Succeeded": StatusType.Successful.value, - "Failed": StatusType.Failed.value, - "Canceling": StatusType.Skipped.value, - "Cancelled": StatusType.Skipped.value, -} - - -class DataFactorySource(PipelineServiceSource): - """ - Implements the necessary methods ot extract - Pipeline metadata from Azure Data Factory - """ - - @classmethod - def create( - cls, config_dict, metadata: OpenMetadata, pipeline_name: Optional[str] = None - ): - config: WorkflowSource = WorkflowSource.model_validate(config_dict) - connection: DataFactoryConnection = config.serviceConnection.root.config - if not isinstance(connection, DataFactoryConnection): - raise InvalidSourceException( - f"Expected DataFactoryConnection, but got {connection}" - ) - return cls(config, metadata) - - def _get_task_list(self, pipeline_name: str) -> Optional[List[Task]]: - """ - Method to collect all the tasks from azure data factory pipeline and return it in a task list - """ - try: - task_list: List[Task] = [] - runs = self.client.get_pipeline_runs(pipeline_name=pipeline_name) - if runs: - task_list = [ - Task( - name=str(run.run_id), - startDate=str(run.run_start), - endDate=str(run.run_end), - description=Markdown(run.message) if run.message else None, - ) - for run in runs or [] - ] - return task_list or None - except Exception as exc: - logger.debug(traceback.format_exc()) - logger.warning(f"Failed to get tasks list due to : {exc}") - return None - - def _get_lineage_entities( - self, pipeline_details: PipelineResource - ) -> Optional[dict]: - """ - Get the Lineage Details for the pipeline - """ - lineage_entities = {"sources": [], "targets": []} - - def fetch_entity(dataset, is_source=True): - """ - Helper function to fetch entities based on dataset attributes and append to lineage_entities. - """ - entity_list = ( - lineage_entities["sources"] - if is_source - else lineage_entities["targets"] - ) - - if hasattr(dataset, "table"): - for db_service_name in self.get_db_service_names(): - entity = self.metadata.get_entity_reference( - entity=Table, - fqn=fqn.build( - metadata=self.metadata, - entity_type=Table, - table_name=dataset.table, - database_name=None, - schema_name=dataset.schema_type_properties_schema, - service_name=db_service_name, - ), - ) - if entity: - entity_list.append(entity) - break - - elif hasattr(dataset, "location") and hasattr( - dataset.location, "bucket_name" - ): - for storage_service_name in self.get_storage_service_names(): - entity = self.metadata.get_entity_reference( - entity=Container, - fqn=fqn.build( - metadata=self.metadata, - entity_type=Container, - service_name=storage_service_name, - parent_container="", - container_name=dataset.location.bucket_name, - ), - ) - if entity: - entity_list.append(entity) - break - - try: - for activity in pipeline_details.activities: - if activity.inputs: - for activity_input in activity.inputs: - dataset_input = self.client.get_dataset_info( - activity_input.reference_name - ) - fetch_entity(dataset_input, is_source=True) - - if activity.outputs: - for activity_output in activity.outputs: - dataset_output = self.client.get_dataset_info( - activity_output.reference_name - ) - fetch_entity(dataset_output, is_source=False) - - except Exception as exc: - logger.debug(traceback.format_exc()) - logger.warning( - f"Failed to get lineage details for pipeline: {pipeline_details} due to: {exc}" - ) - - return lineage_entities - - def yield_pipeline(self, pipeline_details: PipelineResource): - """Method to Get Pipeline Entity""" - try: - pipeline_request = CreatePipelineRequest( - name=EntityName(pipeline_details.name), - description=Markdown(pipeline_details.description) - if pipeline_details.description - else None, - sourceUrl=self.client.get_pipeline_url(pipeline_id=pipeline_details.id), - tasks=self._get_task_list(pipeline_name=pipeline_details.name), - service=FullyQualifiedEntityName(self.context.get().pipeline_service), - ) - yield Either(right=pipeline_request) - self.register_record(pipeline_request=pipeline_request) - except Exception as exc: - yield Either( - left=StackTraceError( - name=pipeline_details.name, - error=f"Wild error ingesting pipeline {pipeline_details} - {exc}", - stackTrace=traceback.format_exc(), - ) - ) - - def yield_pipeline_lineage_details( - self, pipeline_details: PipelineResource - ) -> Iterable[Either[AddLineageRequest]]: - """Get lineage between pipeline and data sources""" - try: - pipeline_fqn = fqn.build( - metadata=self.metadata, - entity_type=Pipeline, - service_name=self.context.get().pipeline_service, - pipeline_name=self.context.get().pipeline, - ) - - pipeline_entity = self.metadata.get_by_name( - entity=Pipeline, fqn=pipeline_fqn - ) - - lineage_details = LineageDetails( - pipeline=EntityReference(id=pipeline_entity.id.root, type="pipeline"), - source=LineageSource.PipelineLineage, - ) - - lineage_enities = self._get_lineage_entities(pipeline_details) - for source in lineage_enities.get("sources"): - for target in lineage_enities.get("targets"): - yield Either( - right=AddLineageRequest( - edge=EntitiesEdge( - fromEntity=source, - toEntity=target, - lineageDetails=lineage_details, - ) - ) - ) - - except Exception as exc: - yield Either( - left=StackTraceError( - name=pipeline_details.name, - error=f"Wild error ingesting pipeline lineage {pipeline_details} - {exc}", - stackTrace=traceback.format_exc(), - ) - ) - - def get_pipelines_list(self) -> Iterable[PipelineResource]: - """Get List of all pipelines""" - try: - yield from self.client.get_all_pipelines() - except Exception as exc: - logger.debug(traceback.format_exc()) - logger.error(f"Failed to get pipeline list due to : {exc}") - - def get_pipeline_name(self, pipeline_details: PipelineResource) -> str: - """Get Pipeline Name""" - try: - return pipeline_details.name - except Exception as exc: - logger.debug(traceback.format_exc()) - logger.error(f"Failed to get pipeline name due to : {exc}") - - return None - - def yield_pipeline_status( - self, pipeline_details: PipelineResource - ) -> Iterable[Either[OMetaPipelineStatus]]: - """Get Pipeline Status""" - try: - for task in ( - self.client.get_pipeline_runs(pipeline_name=pipeline_details.name) or [] - ): - run_start = ( - Timestamp(datetime_to_ts(task.run_start)) - if task.run_start - else None - ) - run_end = ( - Timestamp(datetime_to_ts(task.run_end)) if task.run_end else None - ) - task_status = [ - TaskStatus( - name=str(task.run_id), - executionStatus=STATUS_MAP.get(task.status, StatusType.Pending), - startTime=run_start, - endTime=run_end, - ) - ] - - pipeline_status = PipelineStatus( - executionStatus=STATUS_MAP.get(task.status, StatusType.Pending), - taskStatus=task_status, - timestamp=run_start, - ) - - pipeline_fqn = fqn.build( - metadata=self.metadata, - entity_type=Pipeline, - service_name=self.context.get().pipeline_service, - pipeline_name=self.context.get().pipeline, - ) - yield Either( - right=OMetaPipelineStatus( - pipeline_fqn=pipeline_fqn, - pipeline_status=pipeline_status, - ) - ) - - except Exception as exc: - yield Either( - left=StackTraceError( - name=pipeline_details.name, - error=f"Wild error ingesting pipeline status {pipeline_details} - {exc}", - stackTrace=traceback.format_exc(), - ) - ) diff --git a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/service_spec.py b/ingestion/src/metadata/ingestion/source/pipeline/datafactory/service_spec.py deleted file mode 100644 index d9f509b1ac01..000000000000 --- a/ingestion/src/metadata/ingestion/source/pipeline/datafactory/service_spec.py +++ /dev/null @@ -1,4 +0,0 @@ -from metadata.ingestion.source.pipeline.datafactory.metadata import DataFactorySource -from metadata.utils.service_spec import BaseSpec - -ServiceSpec = BaseSpec(metadata_source_class=DataFactorySource) diff --git a/openmetadata-docs/content/v1.6.x-SNAPSHOT/menu.md b/openmetadata-docs/content/v1.6.x-SNAPSHOT/menu.md index e5f3ec5e343f..01aed20d5645 100644 --- a/openmetadata-docs/content/v1.6.x-SNAPSHOT/menu.md +++ b/openmetadata-docs/content/v1.6.x-SNAPSHOT/menu.md @@ -525,6 +525,10 @@ site_menu: url: /connectors/pipeline/dbtcloud - category: Connectors / Pipeline / dbt Cloud / Run Externally url: /connectors/pipeline/dbtcloud/yaml + - category: Connectors / Pipeline / DataFactory + url: /connectors/pipeline/datafactory + - category: Connectors / Pipeline /DataFactory / Run Externally + url: /connectors/pipeline/datafactory - category: Connectors / Pipeline / KafkaConnect url: /connectors/pipeline/kafkaconnect - category: Connectors / Pipeline / KafkaConnect / Run Externally diff --git a/openmetadata-ui/src/main/resources/ui/src/utils/ServiceUtilClassBase.ts b/openmetadata-ui/src/main/resources/ui/src/utils/ServiceUtilClassBase.ts index 705d4e5fbb43..690cae8dd6b5 100644 --- a/openmetadata-ui/src/main/resources/ui/src/utils/ServiceUtilClassBase.ts +++ b/openmetadata-ui/src/main/resources/ui/src/utils/ServiceUtilClassBase.ts @@ -32,7 +32,6 @@ import { DASHBOARD_DEFAULT, DATABASE_DEFAULT, DATABRICK, - DATAFACTORY, DATALAKE, DBT, DEFAULT_SERVICE, @@ -146,6 +145,7 @@ class ServiceUtilClassBase { APIServiceType.Webhook, MlModelServiceType.VertexAI, PipelineServiceType.Matillion, + PipelineServiceType.DataFactory, ]; DatabaseServiceTypeSmallCase = this.convertEnumToLowerCase< @@ -432,9 +432,6 @@ class ServiceUtilClassBase { case this.PipelineServiceTypeSmallCase.DBTCloud: return DBT; - case this.PipelineServiceTypeSmallCase.DataFactory: - return DATAFACTORY; - case this.PipelineServiceTypeSmallCase.GluePipeline: return GLUE; From 7811299c3577025088743c975c54a913aac4ccd8 Mon Sep 17 00:00:00 2001 From: SumanMaharana Date: Thu, 7 Nov 2024 21:32:08 +0530 Subject: [PATCH 4/8] removed not required files --- .../partials/v1.6/connectors/pipeline/connectors-list.md | 1 - openmetadata-docs/content/v1.6.x-SNAPSHOT/collate-menu.md | 5 +++++ .../v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/index.md | 3 ++- .../v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md | 3 ++- openmetadata-docs/content/v1.6.x-SNAPSHOT/menu.md | 4 ---- 5 files changed, 9 insertions(+), 7 deletions(-) diff --git a/openmetadata-docs/content/partials/v1.6/connectors/pipeline/connectors-list.md b/openmetadata-docs/content/partials/v1.6/connectors/pipeline/connectors-list.md index db6868851c22..da48fd2b9819 100644 --- a/openmetadata-docs/content/partials/v1.6/connectors/pipeline/connectors-list.md +++ b/openmetadata-docs/content/partials/v1.6/connectors/pipeline/connectors-list.md @@ -4,7 +4,6 @@ {% connectorInfoCard name="Airflow" stage="PROD" href="/connectors/pipeline/airflow" platform="OpenMetadata" / %} {% connectorInfoCard name="Dagster" stage="PROD" href="/connectors/pipeline/dagster" platform="OpenMetadata" / %} {% connectorInfoCard name="Databricks" stage="PROD" href="/connectors/pipeline/databricks-pipeline" platform="OpenMetadata" / %} -{% connectorInfoCard name="DataFactory" stage="PROD" href="/connectors/pipeline/datafactory" platform="OpenMetadata" / %} {% connectorInfoCard name="dbt Cloud" stage="PROD" href="/connectors/pipeline/dbtcloud" platform="OpenMetadata" / %} {% connectorInfoCard name="Domo" stage="PROD" href="/connectors/pipeline/domo-pipeline" platform="OpenMetadata" / %} {% connectorInfoCard name="Flink" stage="BETA" href="/connectors/pipeline/flink" platform="OpenMetadata" / %} diff --git a/openmetadata-docs/content/v1.6.x-SNAPSHOT/collate-menu.md b/openmetadata-docs/content/v1.6.x-SNAPSHOT/collate-menu.md index 9ce3150435d6..70a05d5e8b4b 100644 --- a/openmetadata-docs/content/v1.6.x-SNAPSHOT/collate-menu.md +++ b/openmetadata-docs/content/v1.6.x-SNAPSHOT/collate-menu.md @@ -341,6 +341,11 @@ site_menu: isCollateOnly: true - category: Connectors / Pipeline / Matillion / Run Externally url: /connectors/pipeline/matillion/yaml + - category: Connectors / Pipeline / DataFactory + url: /connectors/pipeline/datafactory + isCollateOnly: true + - category: Connectors / Pipeline / DataFactory / Run Externally + url: /connectors/pipeline/datafactory/yaml - category: Connectors / Pipeline / Databricks Pipeline url: /connectors/pipeline/databricks-pipeline - category: Connectors / Pipeline / Databricks Pipeline / Run Externally diff --git a/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/index.md b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/index.md index b47101249e86..a6ea4436873a 100644 --- a/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/index.md +++ b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/index.md @@ -1,12 +1,13 @@ --- title: Data Factory slug: /connectors/pipeline/datafactory +collate: true --- {% connectorDetailsHeader name="DataFactory" stage="PROD" -platform="OpenMetadata" +platform="Collate" availableFeatures=["Pipelines", "Pipeline Status", "Lineage"] unavailableFeatures=["Owners", "Tags"] / %} diff --git a/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md index 25ef5416d86d..8687ffad5a15 100644 --- a/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md +++ b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md @@ -1,12 +1,13 @@ --- title: Run the Data Factory Connector Externally slug: /connectors/pipeline/datafactory/yaml +collate: true --- {% connectorDetailsHeader name="DataFactory" stage="PROD" -platform="OpenMetadata" +platform="Collate" availableFeatures=["Pipelines", "Pipeline Status", "Lineage"] unavailableFeatures=["Owners", "Tags"] / %} diff --git a/openmetadata-docs/content/v1.6.x-SNAPSHOT/menu.md b/openmetadata-docs/content/v1.6.x-SNAPSHOT/menu.md index 01aed20d5645..e5f3ec5e343f 100644 --- a/openmetadata-docs/content/v1.6.x-SNAPSHOT/menu.md +++ b/openmetadata-docs/content/v1.6.x-SNAPSHOT/menu.md @@ -525,10 +525,6 @@ site_menu: url: /connectors/pipeline/dbtcloud - category: Connectors / Pipeline / dbt Cloud / Run Externally url: /connectors/pipeline/dbtcloud/yaml - - category: Connectors / Pipeline / DataFactory - url: /connectors/pipeline/datafactory - - category: Connectors / Pipeline /DataFactory / Run Externally - url: /connectors/pipeline/datafactory - category: Connectors / Pipeline / KafkaConnect url: /connectors/pipeline/kafkaconnect - category: Connectors / Pipeline / KafkaConnect / Run Externally From 57f1209ff486bb3ee3788039d5d1e921b0b7430f Mon Sep 17 00:00:00 2001 From: SumanMaharana Date: Thu, 7 Nov 2024 22:02:59 +0530 Subject: [PATCH 5/8] Removed datafactory ui changes from oss --- ingestion/setup.py | 4 ---- .../assets/img/service-icon-datafactory.png | Bin 235385 -> 0 bytes .../ui/src/constants/Services.constant.ts | 2 -- .../ui/src/utils/PipelineServiceUtils.ts | 6 ------ 4 files changed, 12 deletions(-) delete mode 100644 openmetadata-ui/src/main/resources/ui/src/assets/img/service-icon-datafactory.png diff --git a/ingestion/setup.py b/ingestion/setup.py index c0a7aee89a55..2903be311986 100644 --- a/ingestion/setup.py +++ b/ingestion/setup.py @@ -194,10 +194,6 @@ # databricks has a dependency on pyhive for metadata as well as profiler VERSIONS["pyhive"], }, - "datafactory": { - VERSIONS["azure-identity"], - "azure-mgmt-datafactory", - }, "datalake-azure": { VERSIONS["azure-storage-blob"], VERSIONS["azure-identity"], diff --git a/openmetadata-ui/src/main/resources/ui/src/assets/img/service-icon-datafactory.png 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zRpmLq-*a=;^P(IG*?=u*;Ri*v?0>AVFtZH68tJRz8>`9d%%jWUq7gFS`j+0*D43`tB+g>9jBc!(eKUcS3Ft!d@A95(vTh69NPE9RD zd)sm~OHgHOSClB2tw$xtZpQ30Y2O!sQ@qH?!A`u2ww4!)xZ?M#-zvhSmYx5>rQ|hY z3PPs$bS*&n=JLIKGm&xVIw;UCTT;n~6!lw92!fz}Ee}2)X9{5zUf-I)L%>RaHdIgw^C3%yK}{XTtAU_8$fDS6ydSEUSNye^X5ylztj;=l9kAL!BbsXx_w7OYH+vjjV(HQ}-KsUe { break; } - case PipelineServiceType.DataFactory: { - schema = datafactoryConnection; - - break; - } case PipelineServiceType.DBTCloud: { schema = dbtCloudConnection; From 93a2fd31e056e9c6f679fa0f008c28ac19979717 Mon Sep 17 00:00:00 2001 From: SumanMaharana Date: Thu, 7 Nov 2024 22:34:37 +0530 Subject: [PATCH 6/8] resolve merge conflicts --- .../json/schema/entity/services/pipelineService.json | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json b/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json index 90d534281e14..2550f0a05a7e 100644 --- a/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json +++ b/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json @@ -33,7 +33,7 @@ "KafkaConnect", "DBTCloud", "Matillion", - "DataFactory", + "DataFactory" ], "javaEnums": [ { @@ -85,8 +85,10 @@ "name": "Matillion" }, { - "name": "DataFactory", - "name": "Stitch", + "name": "DataFactory" + }, + { + "name": "Stitch" } ] }, From 54b2662a3085ca31d30ce9310fcde253f510301f Mon Sep 17 00:00:00 2001 From: SumanMaharana Date: Thu, 7 Nov 2024 23:13:33 +0530 Subject: [PATCH 7/8] resolve merge conflicts --- .../resources/json/schema/entity/services/pipelineService.json | 1 + 1 file changed, 1 insertion(+) diff --git a/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json b/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json index 2550f0a05a7e..a2f4536998f2 100644 --- a/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json +++ b/openmetadata-spec/src/main/resources/json/schema/entity/services/pipelineService.json @@ -33,6 +33,7 @@ "KafkaConnect", "DBTCloud", "Matillion", + "Stitch", "DataFactory" ], "javaEnums": [ From 9d11a97023b8a3794a2354d955d3ef07a581d4bd Mon Sep 17 00:00:00 2001 From: SumanMaharana Date: Fri, 8 Nov 2024 09:03:44 +0530 Subject: [PATCH 8/8] added python requirements --- .../v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md index 8687ffad5a15..6346288551d2 100644 --- a/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md +++ b/openmetadata-docs/content/v1.6.x-SNAPSHOT/connectors/pipeline/datafactory/yaml.md @@ -39,6 +39,12 @@ Ensure that the service principal or managed identity you’re using has the nec {% partial file="/v1.5/connectors/python-requirements.md" /%} +To run the Data Factory ingestion, you will need to install: + +```bash +pip3 install "openmetadata-ingestion[datafactory]" +``` + ## Metadata Ingestion All connectors are defined as JSON Schemas.