In this section, we provide guides and references to use the SAP Hana connector.
Configure and schedule SAP Hana metadata and profiler workflows from the OpenMetadata UI:
Ingestion Deployment
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. If you want to install it manually in an already existing Airflow host, you can follow this guide.
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 run the Ingestion Framework in any orchestrator externally.
Run Connectors from the OpenMetadata UI
Learn how to manage your deployment to run connectors from the UIRun the Connector Externally
Get the YAML to run the ingestion externallyExternal Schedulers
Get more information about running the Ingestion Framework ExternallyRequirements
The connector is compatible with HANA or HANA express versions since HANA SPS 2.
Metadata
To extract metadata the user used in the connection needs to have access to the SYS schema.
You can create a new user to run the ingestion with:
And, if you have password policies forcing users to reset the password, you can disable that policy for this technical user with:
Note that in order to get the metadata for Calculation Views, Analytics Views and Attribute Views, you need to have enough permissions on the _SYS_BIC schema. You can grant the required permissions to the user by running the following SQL commands:
The same applies to the _SYS_REPO schema, required for lineage extraction.
Profiler & Data Quality
Executing the profiler Workflow or data quality tests, will require the user to have SELECT permission on the tables/schemas where the profiler/tests will be executed. The user should also be allowed to view information in tables for all objects in the database. More information on the profiler workflow setup can be found here and data quality tests here.
Metadata Ingestion
1. Visit the Services Page
The first step is to ingest the metadata from your sources. To do that, you first need to create a Service connection first.
This Service will be the bridge between OpenMetadata and your source system.
Once a Service is created, it can be used to configure your ingestion workflows.
Select your Service Type and Add a New Service
Add a new Service from the Services page
Select your Service from the list
4. Name and Describe your Service
Provide a name and description for your Service.
Service Name
OpenMetadata uniquely identifies Services by their Service Name. Provide a name that distinguishes your deployment from other Services, including the other SAP Hana Services that you might be ingesting metadata from.
Note that when the name is set, it cannot be changed.
Provide a Name and description for your Service
5. Configure the Service Connection
In this step, we will configure the connection settings required for SAP Hana.
Please follow the instructions below to properly configure the Service to read from your sources. You will also find helper documentation on the right-hand side panel in the UI.
Configure the Service connection by filling the form
Connection Details
We support two possible connection types:
- SQL Connection, where you will the username, password and host.
- HDB User Store connection. Note that the HDB Store will need to be locally available to the instance running the ingestion process. If you are unsure about this setting, you can run the ingestion process passing the usual SQL connection details.
SQL Connection
- Host and Port: Host and port of the SAP Hana service. This should be specified as a string in the format
hostname:port. E.g.,localhost:39041,host.docker.internal:39041. - Username: Specify the User to connect to SAP Hana. It should have enough privileges to read all the metadata.
- Password: Password to connect to SAP Hana.
- database: Optional parameter to connect to a specific database.
- databaseSchema: databaseSchema of the data source. This is an optional parameter, if you would like to restrict the metadata reading to a single schema. When left blank, OpenMetadata Ingestion attempts to scan all the schemas.
HDB USet Store
- User Key: HDB Store User Key generated from the command
hdbuserstore SET <KEY> <host:port> <USERNAME> <PASSWORD>.
Advanced Configuration
Database Services have an Advanced Configuration section, where you can pass extra arguments to the connector and, if needed, change the connection Scheme.
This would only be required to handle advanced connectivity scenarios or customizations.
- Connection Options (Optional): Enter the details for any additional connection options that can be sent to database 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 during the connection. These details must be added as Key-Value pairs.
Advanced Configuration
6. Test the Connection
Once the credentials have been added, click on Test Connection and Save the changes.
Test the connection and save the Service
7. Configure Metadata Ingestion
In this step we will configure the metadata ingestion pipeline, Please follow the instructions below
Configure Metadata Ingestion Page - 1
Configure Metadata Ingestion Page - 2
Metadata Ingestion Options
If the owner's name is openmetadata, you need to enter openmetadata@domain.com in the name section of add team/user form, click here for more info.
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 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 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.
Enable Debug Log (toggle): Set the Enable Debug Log toggle to set the default log level to debug.
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
includeTables (toggle): Optional configuration to turn off fetching metadata for tables.
includeViews (toggle): Set the Include views toggle to control whether to include views as part of metadata ingestion.
includeTags (toggle): Set the 'Include Tags' toggle to control whether to include tags as part of metadata ingestion.
includeOwners (toggle): Set the 'Include Owners' toggle to control whether to include owners to the ingested entity if the owner email matches with a user stored in the OM server as part of metadata ingestion. If the ingested entity already exists and has an owner, the owner will not be overwritten.
includeStoredProcedures (toggle): Optional configuration to toggle the Stored Procedures ingestion.
includeDDL (toggle): Optional configuration to toggle the DDL Statements ingestion.
queryLogDuration (Optional): Configuration to tune how far we want to look back in query logs to process Stored Procedures results.
queryParsingTimeoutLimit (Optional): Configuration to set the timeout for parsing the query in seconds.
useFqnForFiltering (toggle): Regex will be applied on fully qualified name (e.g service_name.db_name.schema_name.table_name) instead of raw name (e.g. table_name).
Incremental (Beta): Use Incremental Metadata Extraction after the first execution. This is done by getting the changed tables instead of all of them. Only Available for BigQuery, Redshift and Snowflake
- Enabled: If
True, enables Metadata Extraction to be Incremental. - lookback Days: Number of days to search back for a successful pipeline run. The timestamp of the last found successful pipeline run will be used as a base to search for updated entities.
- Safety Margin Days: Number of days to add to the last successful pipeline run timestamp to search for updated entities.
- Enabled: If
Threads (Beta): Use a Multithread approach for Metadata Extraction. You can define here the number of threads you would like to run concurrently. For further information please check the documentation on Metadata Ingestion - Multithreading
Note that the right-hand side panel in the OpenMetadata UI will also share useful documentation when configuring the ingestion.
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.
Schedule the Ingestion Pipeline and Deploy
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.