2. Click **Add New Service**.
### Step 2: Select a Service and Connector
From the service type dropdown, select **Database Services**, then click the **Snowflake** connector tile.
### Step 3: Add Service Name and Description
* Enter a unique, descriptive **Service Name**. OpenMetadata identifies services by their service name. Enter a name that distinguishes this deployment from other Snowflake services you are ingesting metadata from.
* Optional: Enter a **Description** for the service.
* **Username**: Specify the User to connect to Snowflake. It should have enough privileges to read all the metadata.
* **Password**: Password to connect to Snowflake.
* **Account**: Snowflake account identifier uniquely identifies a Snowflake account within your organization, as well as throughout the global network of Snowflake-supported cloud platforms and cloud regions. If the Snowflake URL is `https://xyz1234.us-east-1.gcp.snowflakecomputing.com`, then the account is `xyz1234.us-east-1.gcp`.
* **Role (Optional)**: You can specify the role of user that you would like to ingest with, if no role is specified the default roles assigned to user will be selected.
* **Database (Optional)**: 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.
* **Warehouse**: Snowflake warehouse is required for executing queries to fetch the metadata. Enter the name of warehouse against which you would like to execute these queries.
* **Query Tag (Optional)**: Session query tag used to monitor usage on Snowflake. To use a query tag, the Snowflake user should have enough privileges to alter the session.
* **Account Usage Schema Name**: Full name of account usage schema, used in case your user does not have direct access to `SNOWFLAKE.ACCOUNT_USAGE` schema. In such case you can replicate tables `QUERY_HISTORY`, `TAG_REFERENCES`, `PROCEDURES`, `FUNCTIONS`, `ACCESS_HISTORY` to a custom schema, let's say `CUSTOM_DB.CUSTOM_SCHEMA`, and provide the same name in this field.
When using this field, make sure you have all these tables available within your custom schema `QUERY_HISTORY`, `TAG_REFERENCES`, `PROCEDURES`, `FUNCTIONS`, `ACCESS_HISTORY`.
* **Private Key (Optional)**: If you have configured the key pair authentication for the given user you will have to pass the private key associated with the user in this field. For more information about key-pair authentication, see [Key-pair authentication and key-pair rotation](https://docs.snowflake.com/en/user-guide/key-pair-auth).
Ensure your private key is formatted correctly before passing it. The key must be a single line with all line breaks replaced by `\n`.
For example, if you have the following multi-line key (raw format):
```
-----BEGIN ENCRYPTED PRIVATE KEY-----
MII..
MBQ...
CgU..
8Lt..
...
h+4=
-----END ENCRYPTED PRIVATE KEY-----
```
Replace it with the following single-line key (required format):
```
-----BEGIN ENCRYPTED PRIVATE KEY-----\nMII..\nMBQ...\nCgU..\n8Lt..\n...\nh+4=\n-----END ENCRYPTED PRIVATE KEY-----\n
```
Replace every newline character in your key with a literal `\n`, including after the final line.
* **Snowflake Passphrase Key (Optional)**: If you have configured the encrypted key pair authentication for the given user you will have to pass the passphrase associated with the private key in this field. You can check out [this](https://docs.snowflake.com/en/user-guide/key-pair-auth) doc to get more details about key-pair authentication.
* **Include Transient Tables**: Optional configuration for ingestion of `TRANSIENT` and `TEMPORARY` tables. Enabled by default, so these tables are ingested alongside permanent ones. Disable it to skip them.
* **Include Streams**: Optional configuration for ingestion of streams. By default, it will skip the streams.
* **Include Stages**: Optional configuration for ingestion of Snowflake stages (internal and external). By default, stages are not ingested.
* **Client Session Keep Alive**: Optional Configuration to keep the session active in case the ingestion job runs for longer duration.
* **Cost of Credit (Optional)**: Cost of a Snowflake credit for your account, used to estimate warehouse and query costs. Defaults to `3.3`.
* **Snowflake Source Host (Optional)**: Snowflake account host used to build direct links back to Snowflake, for example from lineage or query details. Defaults to `app.snowflake.com`.
**Advanced Config** *(driver-level options; most connections don't need these)*
* **Use Access History for Lineage**: Uses Snowflake's `ACCOUNT_USAGE.ACCESS_HISTORY` view as the source of query lineage. `ACCESS_HISTORY` provides Snowflake-computed table- and column-level lineage, including for queries OpenMetadata cannot parse. Enabled by default. If the configured role cannot read `ACCESS_HISTORY`, ingestion automatically falls back to the legacy query-log parser.
* **Access History Chunk Size (Days)**: Number of days of `ACCESS_HISTORY` scanned per query when "Use Access History for Lineage" is enabled. The lineage time window is split into chunks of this size to keep each query bounded and avoid timeouts on busy accounts. Defaults to `2`.
#### Test Connection
Once the credentials have been added, click on **Test Connection** and **Save** the changes.
### Step 5: Configure Ingestion Options
In the **What to Ingest** step, use filter patterns to control which assets OpenMetadata ingests from your database service. Filter patterns use regular expressions applied to asset names.
#### How Filter Patterns Work
* **Include**: Add one or more comma-separated regular expressions. OpenMetadata ingests only assets whose names match at least one expression. Leave blank to include all assets.
* **Exclude**: Add one or more comma-separated regular expressions. OpenMetadata skips any asset whose name matches an expression. Leave blank to exclude nothing.
Rules match asset names using one of five expressions:
* **contains**: matches any name containing the value. For example, `sales` matches `my_sales_data` and `sales_2024`.
* **starts with**: matches names beginning with the value. For example, `prod_` matches `prod_db` and `prod_schema`.
* **ends with**: matches names ending with the value. For example, `_raw` matches `events_raw` and `logs_raw`.
* **is exactly**: matches the exact name only. For example, `analytics` matches only `analytics`.
* **matches regex**: matches names using a regular expression. For example, `^prod_.*_v\d+$` matches `prod_events_v1`.
When both Include and Exclude are set, Exclude takes priority.
2. Click the service you have added.
3. Select the **Agents** tab and click **Add Agent** > **Metadata**.
For some services, the dropdown is not available and clicking **Add Agent** takes you directly to the agent configuration page.
4. On the **Configure Ingestion** page, do the following and click **Next**.
* **Name this Ingestion**: Enter a unique recognizable name for this ingestion pipeline.
* **Agent Setup**: Configure core parameters for metadata extraction. The following fields are available:
| Field | Default | Description |
| - | - | - |
| **Default Owner** | — | Owner applied to any entity that has no owner from a more specific field below. Accepts a user or a team, by name or email. |
| **Service Owner** | — | Owner assigned to the service entity itself (the connector/service you're setting up, not the data inside it). |
| **Database Owner** | — | Owner assigned to every database this agent ingests. Accepts either one owner for all of them, or a mapping of specific owners per database. |
| **Database Schema Owner** | — | Owner assigned to every schema this agent ingests. Accepts either one owner for all of them, or a mapping of specific owners per schema. |
| **Table Owner** | — | Owner assigned to every table this agent ingests. Accepts either one owner for all of them, or a mapping of specific owners per table. |
| **Enable Inheritance** | On | When on, an entity with no owner of its own inherits one from the nearest parent that has one, checked in this order: table, then schema, then database, then service, then Default Owner. Turn off if you want only the owners set explicitly above to apply, with no fallback. |
| **Query Log Duration** | 1 | How many days of query logs to look back through when processing stored procedure results. |
| **Query Parsing Timeout Limit** | 300 | How many seconds to spend parsing a single query before giving up on it and moving to the next. Raise this if large or complex queries are being skipped. |
| **Number of Threads** | 1 | How many tables to ingest in parallel. Raising this can speed up ingestion on databases with many tables, at the cost of more load on the source. |
| **Incremental Extraction** | Off | When on, a run extracts only entities that changed since the last successful run, instead of re-scanning everything every time. Faster on large, mostly unchanged databases. |
| **Successful Pipeline Run Lookback Days** | 7 | Only used when Incremental Extraction is on. How many days back to search for a prior successful run to use as the starting point for what changed since then. |
| **Safety Margin Days** | 1 | Only used when Incremental Extraction is on. Extra days added before that starting point, as a buffer so changes still in flight when the last run finished aren't missed. |
| **Extract JSON Schema** | Off | Sample values in JSON columns to infer and ingest their schema, so the individual fields inside a JSON column are visible in OpenMetadata rather than just "JSON". Requires `SELECT` permission on the sampled tables. If that permission is missing, the JSON column is still ingested, just without a detailed schema. |
| **JSON Schema Sample Size** | 10 | Only used when Extract JSON Schema is on. Number of rows sampled per JSON column to infer its schema. A larger sample gives more accurate results but takes longer to run. |
For more information about how the Default Owner, Service Owner, Database Owner, Database Schema Owner, Table Owner, and Enable Inheritance fields resolve an owner, see [Hierarchical Owner Configuration](/connectors/ingestion/workflows/metadata/hierarchical-owner-configuration).
* **Filter Patterns**: Apply include or exclude rules to scope which databases, schemas, tables, and stored procedures this agent ingests. For more information about various filter options, see **Step 6: Configure Ingestion Options**.
* **Scope & Behaviour**: Control how the agent handles metadata during ingestion. Toggle each option on or off based on your needs:
| Toggle | Default | Description |
| - | - | - |
| **Include Tables** | On | Ingest tables and their columns. Turn off to skip tables entirely, for example if this agent exists only to pull tags or stored procedures. |
| **Include Tags** | On | Ingest tags already defined on tables/columns in the source system (for example, a classification tag applied in Snowflake) and bring them into OpenMetadata as tags on the same assets. |
| **Include Stored Procedures** | On | Ingest stored procedures as their own assets, so they show up in the catalog and can be linked into lineage. |
| **Include DDL Statements** | Off | Also ingest the raw `CREATE TABLE` / `CREATE VIEW` statement for each asset, so it's viewable in OpenMetadata alongside the asset's metadata. |
| **Include Owners** | Off | When an ingested asset's owner in the source system is an email that matches an existing OpenMetadata user, assign that user as the asset's owner. Never overwrites an owner an asset already has in OpenMetadata. |
| **Include Custom Properties** | Off | Ingest source-specific metadata that doesn't map to a standard OpenMetadata field (for example, a database-specific attribute) into custom properties on the asset, if custom properties have been defined for that entity type. |
| **Mark Deleted Tables** | On | If a table this agent previously ingested no longer exists in the source, soft-delete it in OpenMetadata too. Only affects tables within schemas this agent actually scans. |
| **Mark Deleted Stored Procedures** | On | Same as Mark Deleted Tables, but for stored procedures. |
| **Mark Deleted Schemas** | Off | If an entire schema this agent previously ingested no longer exists in the source, soft-delete the schema and everything in it. |
| **Mark Deleted Databases** | Off | If an entire database this agent previously ingested no longer exists in the source, soft-delete the database and everything in it. |
| **Override Metadata** | Off | On: values from the source (descriptions, tags, owners, display names) overwrite what's currently in OpenMetadata, even if someone edited it there. A description or display name that the source doesn't send never replaces an existing value, and existing table constraints are kept when the source sends none. Override replaces tags only within the classifications the source sends, so tags from other classifications and glossary terms are kept. Retention periods that users set are kept. Off: OpenMetadata only fills in fields that are still empty, so manual edits in OpenMetadata are preserved. |
| **Enable Debug Log** | Off | Run this ingestion at DEBUG log verbosity instead of the normal level. Turn on when troubleshooting a failing or unexpected run. Leave off otherwise, since debug logs are much larger. |
* **Advanced Config**: Driver-level options (connection arguments, scheme, and timeouts). Most connections never need these, and they vary by connector. This section also has one ingestion-scope toggle:
| Toggle | Default | Description |
| - | - | - |
| **Include Views** | On | Ingest views in addition to tables. Turn off to skip views entirely. Since view lineage is derived from parsing each view's SQL definition, turning this off also stops view-based lineage from being generated for this service. |
5. On the **Schedule Interval** page, set when the agent runs:
* **Schedule**: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression.
* **On-Demand**: No automatic schedule; trigger the agent manually when needed.
6. Click **Add** to deploy the agent.
## Incomplete Column Level for Views
For views with a tag or policy, you may see incorrect lineage, this can be because user may not have enough access to fetch those policies or tags. You need to grant the following privileges in order to fix it.
Check out the [Snowflake docs](https://docs.snowflake.com/en/sql-reference/functions/get_ddl#usage-notes) for further details.
```
GRANT APPLY MASKING POLICY TO ROLE