datahub/metadata-ingestion/source_docs/snowflake.md

Snowflake

For context on getting started with ingestion, check out our metadata ingestion guide.

Setup

To install this plugin, run pip install 'acryl-datahub[snowflake]'.

Capabilities

This plugin extracts the following:

• Metadata for databases, schemas, views and tables
• Column types associated with each table
• Table, row, and column statistics via optional SQL profiling
• Table lineage.

:::tip

You can also get fine-grained usage statistics for Snowflake using the snowflake-usage source described below.

:::

Quickstart recipe

Check out the following recipe to get started with ingestion! See below for full configuration options.

For general pointers on writing and running a recipe, see our main recipe guide.

source:
  type: snowflake
  config:
    # Coordinates
    host_port: account_name
    warehouse: "COMPUTE_WH"

    # Credentials
    username: user
    password: pass
    role: "accountadmin"

sink:
  # sink configs

Config details

Note that a . is used to denote nested fields in the YAML recipe.

As a SQL-based service, the Athena integration is also supported by our SQL profiler. See here for more details on configuration.

Field	Required	Default	Description
username			Snowflake username.
password			Snowflake password.
host_port	✅		Snowflake host URL.
warehouse			Snowflake warehouse.
role			Snowflake role.
env		"PROD"	Environment to use in namespace when constructing URNs.
options.<option>			Any options specified here will be passed to SQLAlchemy's create_engine as kwargs. See https://docs.sqlalchemy.org/en/14/core/engines.html#sqlalchemy.create_engine for details.
database_pattern.allow			List of regex patterns for databases to include in ingestion.
database_pattern.deny		"^UTIL_DB$" "^SNOWFLAKE$" "^SNOWFLAKE_SAMPLE_DATA$"	List of regex patterns for databases to exclude from ingestion.
database_pattern.ignoreCase		True	Whether to ignore case sensitivity during pattern matching.
table_pattern.allow			List of regex patterns for tables to include in ingestion.
table_pattern.deny			List of regex patterns for tables to exclude from ingestion.
table_pattern.ignoreCase		True	Whether to ignore case sensitivity during pattern matching.
schema_pattern.allow			List of regex patterns for schemas to include in ingestion.
schema_pattern.deny			List of regex patterns for schemas to exclude from ingestion.
schema_pattern.ignoreCase		True	Whether to ignore case sensitivity during pattern matching.
view_pattern.allow			List of regex patterns for views to include in ingestion.
view_pattern.deny			List of regex patterns for views to exclude from ingestion.
view_pattern.ignoreCase		True	Whether to ignore case sensitivity during pattern matching.
include_tables		True	Whether tables should be ingested.
include_views		True	Whether views should be ingested.
include_table_lineage		True	Whether table lineage should be ingested.
bucket_duration		"DAY"	Duration to bucket lineage data extraction by. Can be "DAY" or "HOUR".
start_time		Start of last full day in UTC (or hour, depending on bucket_duration)	Earliest time of lineage data to consider.
end_time		End of last full day in UTC (or hour, depending on bucket_duration)	Latest time of lineage data to consider.

Compatibility

Coming soon!

Snowflake Usage Stats

For context on getting started with ingestion, check out our metadata ingestion guide.

Setup

To install this plugin, run pip install 'acryl-datahub[snowflake-usage]'.

Capabilities

This plugin extracts the following:

• Statistics on queries issued and tables and columns accessed (excludes views)
• Aggregation of these statistics into buckets, by day or hour granularity

Note: the user/role must have access to the account usage table. The "accountadmin" role has this by default, and other roles can be granted this permission.

Note: the underlying access history views that we use are only available in Snowflake's enterprise edition or higher.

:::note

This source only does usage statistics. To get the tables, views, and schemas in your Snowflake warehouse, ingest using the snowflake source described above.

:::

Quickstart recipe

Check out the following recipe to get started with ingestion! See below for full configuration options.

For general pointers on writing and running a recipe, see our main recipe guide.

source:
  type: snowflake-usage
  config:
    # Coordinates
    host_port: account_name
    warehouse: "COMPUTE_WH"

    # Credentials
    username: user
    password: pass
    role: "sysadmin"

    # Options
    top_n_queries: 10

sink:
  # sink configs

Config details

Note that a . is used to denote nested fields in the YAML recipe.

Field	Required	Default	Description
username			Snowflake username.
password			Snowflake password.
host_port	✅		Snowflake host URL.
warehouse			Snowflake warehouse.
role			Snowflake role.
env		"PROD"	Environment to use in namespace when constructing URNs.
bucket_duration		"DAY"	Duration to bucket usage events by. Can be "DAY" or "HOUR".
start_time		Last full day in UTC (or hour, depending on bucket_duration)	Earliest date of usage logs to consider.
end_time		Last full day in UTC (or hour, depending on bucket_duration)	Latest date of usage logs to consider.
top_n_queries		10	Number of top queries to save to each table.

Compatibility

Coming soon!

Questions

If you've got any questions on configuring this source, feel free to ping us on our Slack!