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Already have an account? Sign inA lot of Google Analytics 4 dimensions and metrics can be derived straight from the tables without performing calculations on the data. With the help of unnest and parse for dates or timestamps we can do the trick.
Other dimensions and metrics that you might need are a bit harder to access. You will have to (re)calculate them, which can require some serious SQL-skills.
While designing the course Query GA4 Data In Google BigQuery I've learned a lot about best practices to calculate dimensions and metrics. To share this knowledge with you I will provide a combined query for default dimensions and metrics, and a single example query for every non-default dimension or metric.
As always, please let me know if you have any feedback or suggestions to improve the quality of this content.
Default event dimensions
- event_date
- event_timestamp
- event_name
- event_params.key
- event_previous_timestamp
- event_bundle_sequence_id
- event_server_timestamp_offset
- event_dimensions.hostname
Default event metrics
- event_params.value.int_value
- event_params.value.float_value
- event_params.value.double_value
- event_value_in_usd
-- comments in the example query below for names and definitions and copy the part you need from the select clause. Make sure that you also add any additional conditions (i.e. with, from, where, group by, having and order by) that are necessary to calculate the results correctly. E.g, the query below is ungrouped, so every row corresponds to an event and may contain duplicate rows.Example query
select
-- event_date (dimension | the date on which the event was logged)
parse_date('%Y%m%d',event_date) as event_date,
-- event_timestamp (dimension | the time (in microseconds, utc) at which
-- the event was logged on the client)
timestamp_micros(event_timestamp) as event_timestamp,
-- event_name (dimension | the name of the event)
event_name,
-- event_key (dimension | the event parameter's key | change key to select another parameter)
(select key from unnest(event_params) where key = 'page_location') as event_key,
-- event_string_value (dimension | the string value of the event parameter | change key to select another parameter)
(select value.string_value from unnest(event_params) where key = 'page_location') as event_string_value,
-- event_int_value (metric | the integer value of the event parameter | change key to select another parameter)
(select value.int_value from unnest(event_params) where key = 'ga_session_id') as event_int_value,
-- event_float_value (metric | the float value of the event parameter | change key to select another parameter)
(select value.float_value from unnest(event_params) where key = 'page_location') as event_float_value,
-- event_double_value (metric | the double value of the event parameter | change key to select another parameter)
(select value.double_value from unnest(event_params) where key = 'page_location') as event_double_value,
-- event_previous_timestamp (dimension | the time (in microseconds, utc) at which
-- the event was previously logged on the client)
timestamp_micros(event_previous_timestamp) as event_previous_timestamp,
-- event_value_in_usd (metric | the currency-converted value (in usd) of the event's "value" parameter)
event_value_in_usd,
-- event_bundle_sequence_id (dimension | the sequential id of the bundle in which these events were uploaded)
event_bundle_sequence_id,
-- event_server_timestamp_offset (dimension | timestamp offset between collection time and upload time in micros)
event_server_timestamp_offset,
-- event_dimensions.hostname (dimension | hostname)
event_dimensions.hostname
from
-- change this to your google analytics 4 export location in bigquery
`bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_20201130`
where
-- change event_name to select another event
event_name = 'page_view'