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Modeling Entities and Self-Describing Events

Out-of-the-box Entities & Eventsโ€‹

Our dbt packages provide out-of-the-box modeling for many entities that are relevant to each package. Fields from these contexts are added to the events this run table for use within downstream models. For example our unified package will add all fields from the YAUAA entity by setting the snowplow__enable_yauaa to true.

Relevant self-describing events fields are extracted in the same way as needed per-package, and are often dependent on enabling optional modules.

tip

In some cases, these fields may exist but be null when the entity or self-describing event is not enabled in the project yaml to enable more consistent structure to the events this run table.

Custom Entities & Eventsโ€‹

For warehouses other than Redshift, all columns in your atomic events table are available in the events this run table, so you can use them as needed in any other models.

For Redshift we provide the snowplow__entities_or_sdes in our packages that have an events this run table. This variable takes a the name of your entity or self-describing event table, a prefix, an alias, and if it is a single entity.

caution

Only entities that are "single valued" should be added directly to the event this run table i.e. the list should only contain one instance of the entity. A multi-valued entity would cause duplicates in the events this run table and lead to incorrect data in all downstream models. See below for how to use multi-valued entities.

This variable is a list of objects which have the following structure:

KeyDescriptionExample
schemaThe schema denotes the name of the entity or SDE that you would like to join, which should also be the name of the table that is in your warehouse.contexts_com_mycompany_click_1
prefixThe prefix that each field in the context will receive. E.g with a prefix of my_click and a field name of id, this field will be accessible in the events this run table under the my_click_id column.my_click
aliasThe alias that is used for the context table join, for reference in your custom SQL queries.mc
single_entityA boolean to say whether this is a single entity or whether there can be multiple for each event. Should always be set to true.true

An example with two custom contexts would be:

dbt_project.yml
...
vars:
snowplow_<package_name>:
snowplow__entities_or_sdes: [
{'schema': 'contexts_com_mycompany_click_1', 'prefix': 'click', 'alias': 'mc', 'single_entity': true},
{'schema': 'contexts_com_mycompany_submit_1', 'prefix': 'submit', 'alias': 'sub', 'single_entity': true}
]
...

Multi-valued Entitiesโ€‹

In the case of a mutli-valued entity, you must make use of custom models and the snowplow_utils.get_sde_or_context to manage de-duplication. See the using multi-valued entities custom model example page for more information.

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