13 KiB
title | slug |
---|---|
SQLite | /connectors/database/sqlite |
SQLite
{% multiTablesWrapper %}
Feature | Status |
---|---|
Stage | PROD |
Metadata | {% icon iconName="check" /%} |
Query Usage | {% icon iconName="check" /%} |
Data Profiler | {% icon iconName="check" /%} |
Data Quality | {% icon iconName="cross" /%} |
Lineage | Partially via Views |
DBT | {% icon iconName="check" /%} |
Supported Versions | -- |
Feature | Status |
---|---|
Lineage | Partially via Views |
Table-level | {% icon iconName="check" /%} |
Column-level | {% icon iconName="check" /%} |
{% /multiTablesWrapper %}
In this section, we provide guides and references to use the Presto connector.
Configure and schedule Presto metadata and profiler workflows from the OpenMetadata UI:
If you don't want to use the OpenMetadata Ingestion container to configure the workflows via the UI, then you can check the following docs to connect using Airflow SDK or with the CLI.
{% tilesContainer %}
{% tile title="Ingest with Airflow" description="Configure the ingestion using Airflow SDK" link="/connectors/database/sqlite/airflow" / %} {% tile title="Ingest with the CLI" description="Run a one-time ingestion using the metadata CLI" link="/connectors/database/sqlite/cli" / %}
{% /tilesContainer %}
Requirements
{%inlineCallout icon="description" bold="OpenMetadata 0.12 or later" href="/deployment"%} To deploy OpenMetadata, check the Deployment guides. {%/inlineCallout%}
To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with custom Airflow plugins to handle the workflow deployment.
Metadata
To extract metadata, the user needs to be able to perform .tables
, .schema
, on database you wish to extract metadata from and have SELECT
permission on the sqlite_temp_master
. Access to resources will be different based on the connector used.
Metadata Ingestion
{% stepsContainer %}
{% step srNumber=1 %}
{% stepDescription title="1. Visit the Services Page" %}
The first step is ingesting the metadata from your sources. Under Settings, you will find a Services link an external source system to OpenMetadata. Once a service is created, it can be used to configure metadata, usage, and profiler workflows.
To visit the Services page, select Services from the Settings menu.
{% /stepDescription %}
{% stepVisualInfo %}
{% image src="/images/v0.13.3/openmetadata/connectors/visit-database-service-page.png" alt="Visit Services Page" caption="Find Databases option on left panel of the settings page" /%}
{% /stepVisualInfo %}
{% /step %}
{% step srNumber=2 %}
{% stepDescription title="2. Create a New Service" %}
Click on the 'Add New Service' button to start the Service creation.
{% /stepDescription %}
{% stepVisualInfo %}
{% image src="/images/v0.13.3/openmetadata/connectors/create-database-service.png" alt="Create a new service" caption="Add a new Service from the Database Services page" /%}
{% /stepVisualInfo %}
{% /step %}
{% step srNumber=3 %}
{% stepDescription title="3. Select the Service Type" %}
Select SQLite as the service type and click Next.
{% /stepDescription %}
{% stepVisualInfo %}
{% image src="/images/v0.13.3/openmetadata/connectors/presto/select-sqlite-service.png" alt="Select Service" caption="Select your service from the list" /%}
{% /stepVisualInfo %}
{% /step %}
{% step srNumber=4 %}
{% stepDescription title="4. Name and Describe your Service" %}
Provide a name and description for your service as illustrated below.
Service Name
OpenMetadata uniquely identifies services by their Service Name. Provide a name that distinguishes your deployment from other services, including the other {connector} services that you might be ingesting metadata from.
{% /stepDescription %}
{% stepVisualInfo %}
{% image src="/images/v0.13.3/openmetadata/connectors/sqlite/add-new-service.png" alt="Add New Service" caption="Provide a Name and description for your Service" /%}
{% /stepVisualInfo %}
{% /step %}
{% step srNumber=5 %}
{% stepDescription title="5. Configure the Service Connection" %}
In this step, we will configure the connection settings required for this connector. Please follow the instructions below to ensure that you've configured the connector to read from your presto service as desired.
{% /stepDescription %}
{% stepVisualInfo %}
{% image src="/images/v0.13.3/openmetadata/connectors/sqlite/service-connection.png" alt="Configure service connection" caption="Configure the service connection by filling the form" /%}
{% /stepVisualInfo %}
{% /step %}
{% extraContent parentTagName="stepsContainer" %}
Connection Options
- Username: Username to connect to SQLite. Blank for in-memory database.
- Password: Password to connect to SQLite. Blank for in-memory database.
- Host and Port: Enter the fully qualified hostname and port number for your SQLite deployment in the Host and Port field.
- Database: The database of the data source is an optional parameter, if you would like to restrict the metadata reading to a single database. If left blank, OpenMetadata ingestion attempts to scan all the databases.
- Database Mode: How to run the SQLite database. :memory: by default.
- Connection Options (Optional): Enter the details for any additional connection options that can be sent to Presto during the connection. These details must be added as Key-Value pairs.
- Connection Arguments (Optional): Enter the details for any additional connection arguments such as security or protocol configs that can be sent to Presto during the connection. These details must be added as Key-Value pairs.
- In case you are using Single-Sign-On (SSO) for authentication, add the
authenticator
details in the Connection Arguments as a Key-Value pair as follows:"authenticator" : "sso_login_url"
- In case you are using Single-Sign-On (SSO) for authentication, add the
{% /extraContent %}
{% step srNumber=6 %}
{% stepDescription title="6. Test the Connection" %}
Once the credentials have been added, click on Test Connection
and Save
the changes.
{% /stepDescription %}
{% stepVisualInfo %}
{% image src="/images/v0.13.3/openmetadata/connectors/test-connection.png" alt="Test Connection" caption="Test the connection and save the Service" /%}
{% /stepVisualInfo %}
{% /step %}
{% step srNumber=7 %}
{% stepDescription title="7. Configure Metadata Ingestion" %}
In this step we will configure the metadata ingestion pipeline, Please follow the instructions below
{% /stepDescription %}
{% stepVisualInfo %}
{% image src="/images/v0.13.3/openmetadata/connectors/configure-metadata-ingestion-database.png" alt="Configure Metadata Ingestion" caption="Configure Metadata Ingestion Page" /%}
{% /stepVisualInfo %}
{% /step %}
{% extraContent parentTagName="stepsContainer" %}
Metadata Ingestion Options
-
Name: This field refers to the name of ingestion pipeline, you can customize the name or use the generated name.
-
Database Filter Pattern (Optional): Use to database filter patterns to control whether or not to include database as part of metadata ingestion.
- Include: Explicitly include databases by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all databases with names matching one or more of the supplied regular expressions. All other databases will be excluded.
- Exclude: Explicitly exclude databases by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all databases with names matching one or more of the supplied regular expressions. All other databases will be included.
-
Schema Filter Pattern (Optional): Use to schema filter patterns to control whether or not to include schemas as part of metadata ingestion.
- Include: Explicitly include schemas by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all schemas with names matching one or more of the supplied regular expressions. All other schemas will be excluded.
- Exclude: Explicitly exclude schemas by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all schemas with names matching one or more of the supplied regular expressions. All other schemas will be included.
-
Table Filter Pattern (Optional): Use to table filter patterns to control whether or not to include tables as part of metadata ingestion.
- Include: Explicitly include tables by adding a list of comma-separated regular expressions to the Include field. OpenMetadata will include all tables with names matching one or more of the supplied regular expressions. All other tables will be excluded.
- Exclude: Explicitly exclude tables by adding a list of comma-separated regular expressions to the Exclude field. OpenMetadata will exclude all tables with names matching one or more of the supplied regular expressions. All other tables will be included.
-
Include views (toggle): Set the Include views toggle to control whether or not to include views as part of metadata ingestion.
-
Include tags (toggle): Set the 'Include Tags' toggle to control whether to include tags as part of metadata ingestion.
-
Enable Debug Log (toggle): Set the Enable Debug Log toggle to set the default log level to debug, these logs can be viewed later in Airflow.
-
Mark Deleted Tables (toggle): Set the Mark Deleted Tables toggle to flag tables as soft-deleted if they are not present anymore in the source system.
-
Mark Deleted Tables from Filter Only (toggle): Set the Mark Deleted Tables from Filter Only toggle to flag tables as soft-deleted if they are not present anymore within the filtered schema or database only. This flag is useful when you have more than one ingestion pipelines. For example if you have a schema
{% /extraContent %}
{% step srNumber=8 %}
{% stepDescription title="8. Schedule the Ingestion and Deploy" %}
Scheduling can be set up at an hourly, daily, weekly, or manual cadence. The timezone is in UTC. Select a Start Date to schedule for ingestion. It is optional to add an End Date.
Review your configuration settings. If they match what you intended, click Deploy to create the service and schedule metadata ingestion.
If something doesn't look right, click the Back button to return to the appropriate step and change the settings as needed.
After configuring the workflow, you can click on Deploy to create the pipeline.
{% /stepDescription %}
{% stepVisualInfo %}
{% image src="/images/v0.13.3/openmetadata/connectors/schedule.png" alt="Schedule the Workflow" caption="Schedule the Ingestion Pipeline and Deploy" /%}
{% /stepVisualInfo %}
{% /step %}
{% step srNumber=9 %}
{% stepDescription title="9. View the Ingestion Pipeline" %}
Once the workflow has been successfully deployed, you can view the Ingestion Pipeline running from the Service Page.
{% /stepDescription %}
{% stepVisualInfo %}
{% image src="/images/v0.13.3/openmetadata/connectors/view-ingestion-pipeline.png" alt="View Ingestion Pipeline" caption="View the Ingestion Pipeline from the Service Page" /%}
{% /stepVisualInfo %}
{% /step %}
{% /stepsContainer %}
Troubleshooting
Workflow Deployment Error
If there were any errors during the workflow deployment process, the Ingestion Pipeline Entity will still be created, but no workflow will be present in the Ingestion container.
-
You can then edit the Ingestion Pipeline and Deploy it again.
-
From the Connection tab, you can also Edit the Service if needed.
{% image src="/images/v0.13.3/openmetadata/connectors/workflow-deployment-error.png" alt="Workflow Deployment Error" caption="Edit and Deploy the Ingestion Pipeline" /%}
Related
{% tilesContainer %}
{% tile title="Profiler Workflow" description="Learn more about how to configure the Data Profiler from the UI." link="/connectors/ingestion/workflows/profiler" /%}
{% tile title="Data Quality Workflow" description="Learn more about how to configure the Data Quality tests from the UI." link="/connectors/ingestion/workflows/data-quality" /%}
{% tile icon="mediation" title="dbt Integration" description="Learn more about how to ingest dbt models' definitions and their lineage." link="/connectors/ingestion/workflows/dbt" /%}
{% /tilesContainer %}