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Package Configuration Variables

This package utilizes a set of variables that are configured to recommended values for optimal performance of the models. Depending on your use case, you might want to override these values by adding to your dbt_project.yml file.

note

All variables in Snowplow packages start with snowplow__ but we have removed these in the below tables for brevity.

Warehouse and tracker

Variable NameDescriptionDefault
atomic_schemaThe schema (dataset for BigQuery) that contains your atomic events table.atomic
databaseThe database that contains your atomic events table.target.database
dev_target_nameThe target name of your development environment as defined in your profiles.yml file. See the Manifest Tables section for more details.dev
eventsThis is used internally by the packages to reference your events table based on other variable values and should not be changed.events
heartbeatPage ping heartbeat time as defined in your tracker configuration.10
min_visit_lengthMinimum visit length as defined in your tracker configuration.5
sessions_tableThe users module requires data from the derived sessions table. If you choose to disable the standard sessions table in favor of your own custom table, set this to reference your new table e.g. {{ ref('snowplow_web_sessions_custom') }}. Please see the README in the custom_example directory for more information on this sort of implementation."{{ ref( 'snowplow_web_sessions' ) }}"

Operation and logic

Variable NameDescriptionDefault
allow_refreshUsed as the default value to return from the allow_refresh() macro. This macro determines whether the manifest tables can be refreshed or not, depending on your environment. See the Manifest Tables section for more details.false
backfill_limit_daysThe maximum numbers of days of new data to be processed since the latest event processed. Please refer to the incremental logic section for more details.30
days_late_allowedThe maximum allowed number of days between the event creation and it being sent to the collector. Exists to reduce lengthy table scans that can occur as a result of late arriving data.3
limit_page_views_to_sessionA boolean whether to ensure page view aggregations are limited to pings in the same session as the page_view event, to ensure deterministic behavior. If false you may get different results for the same page_view depending on which sessions are included in a run. See the stray page ping section for more information.true
lookback_window_hoursThe number of hours to look before the latest event processed - to account for late arriving data, which comes out of order.6
max_session_daysThe maximum allowed session length in days. For a session exceeding this length, all events after this limit will stop being processed. Exists to reduce lengthy table scans that can occur due to long sessions which are usually a result of bots.3
session_lookback_daysNumber of days to limit scan on snowplow_web_base_sessions_lifecycle_manifest manifest. Exists to improve performance of model when we have a lot of sessions. Should be set to as large a number as practical.730
session_stitchingDetermines whether to apply the user mapping to the sessions table. Please see the User Mapping section for more details.true
start_dateThe date to start processing events from in the package on first run or a full refresh, based on collector_tstamp.'2020-01-01'
upsert_lookback_daysNumber of days to look back over the incremental derived tables during the upsert. Where performance is not a concern, should be set to as long a value as possible. Having too short a period can result in duplicates. Please see the Snowplow Optimized Materialization section for more details.30

Contexts, filters, and logs

Variable NameDescriptionDefault
app_idA list of app_ids to filter the events table on for processing within the package.[ ] (no filter applied)
enable_iabFlag to include the IAB enrichment data in the models.false
enable_uaFlag to include the UA Parser enrichment data in the models.false
enable_yauaaFlag to include the YAUAA enrichment data in the models.false
has_log_enabledWhen executed, the package logs information about the current run to the CLI. This can be disabled by setting to false.true
ua_bot_filterFlag to filter out bots via the useragent string pattern match.true

Warehouse Specific

Variable NameDescriptionDefault
databricks_catalogThe catalogue your atomic events table is in. Depending on the use case it should either be the catalog (for Unity Catalog users from databricks connector 1.1.1 onwards, defaulted to hive_metastore) or the same value as your snowplow__atomic_schema (unless changed it should be 'atomic').hive_metastore

Output Schemas

By default all scratch/staging tables will be created in the <target.schema>_scratch schema, the derived tables, will be created in <target.schema>_derived and all manifest tables in <target.schema>_snowplow_manifest. Some of these schemas are only used by specific packages, ensure you add the correct configurations for each packages you are using. To change, please add the following to your dbt_project.yml file:

tip

If you want to use just your connection schema with no suffixes, set the +schema: values to null

# dbt_project.yml
...
models:
snowplow_web:
base:
manifest:
+schema: my_manifest_schema
scratch:
+schema: my_scratch_schema
sessions:
+schema: my_derived_schema
scratch:
+schema: my_scratch_schema
user_mapping:
+schema: my_derived_schema
users:
+schema: my_derived_schema
scratch:
+schema: my_scratch_schema
page_views:
+schema: my_derived_schema
scratch:
+schema: my_scratch_schema
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