Custom properties with JSON_EXTRACT_PATH_TEXT
Use the json_extract_path_text command to extract custom attributes and payload data.
SELECT json_extract_path_text(parameters, 'attributes', '<custom_user_property>') FROM events LIMIT 50;
For example, to query information about your users’ timezones:
SELECT json_extract_path_text(parameters, 'attributes', 'swrve.timezone_name'), COUNT(DISTINCT event_user) FROM events WHERE event_type = 'user' AND json_extract_path_text(parameters, 'attributes', 'swrve.timezone_name') IS NOT NULL GROUP BY json_extract_path_text(parameters, 'attributes', 'swrve.timezone_name') ORDER BY COUNT(DISTINCT event_user) DESC;
Custom views on fields containing JSON
Create a custom view to simplify accessing tables with JSON.
CREATE VIEW events_premium_currency AS SELECT json_extract_path_text(parameters, 'attributes', 'premium_currency') AS currency, * FROM events;
Join events and user state tables
If you have imported user state data, use a JOIN command to quickly filter events based user state. The events table is joined to swrve_properties on swrve_properties.swrve_user_id = events.event_user. The other user property tables, like abtest_exposure, segment_membership, and so forth are joined on swrve_data_id.
SELECT events.event_type, swrve_properties.swrve_install_date, swrve_properties.swrve_language FROM events JOIN swrve_properties ON swrve_properties.swrve_user_id = events.event_user;
Most Swrve customers can self-host this pipeline; all you have to do is follow the steps in these tutorials. However, if you prefer a turn-key hosted solution, we do offer one as a professional service. There is an additional fee associated with this service. For more information, contact your CSM at email@example.com.
Swrve support can help you with basic setup and configuration of the pipeline described above. If you need help with your queries, contact our Data Services team at firstname.lastname@example.org. They will help you get the most out of your data with dedicated support, pre-built and custom reports, and dedicated data science hours.