Reputation: 153
I recently started using GCP and am learning how to work with the public datasets.
I am trying to identify N day - inactive users with SQL.
You can find the dataset here: https://developers.google.com/analytics/bigquery/web-ecommerce-demo-dataset
going through the documentation I found the following code.
/**
* Builds an audience of N-Day Inactive Users.
*
* N-Day inactive users = users in the last M days who have not logged one
* event with event param engagement_time_msec > 0 in the last N days
* where M > N.
*/
SELECT
COUNT(DISTINCT MDaysUsers.user_id) AS n_day_inactive_users_count
FROM
(
SELECT
user_id
FROM
/* PLEASE REPLACE WITH YOUR TABLE NAME */
`YOUR_TABLE.events_*` AS T
CROSS JOIN
T.event_params
WHERE
event_params.key = 'engagement_time_msec' AND event_params.value.int_value > 0
/* Has engaged in last M = 7 days */
AND event_timestamp >
UNIX_MICROS(TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 7 DAY))
/* PLEASE REPLACE WITH YOUR DESIRED DATE RANGE */
AND _TABLE_SUFFIX BETWEEN '20180521' AND '20240131'
) AS MDaysUsers
-- EXCEPT ALL is not yet implemented in BigQuery. Use LEFT JOIN in the interim.
LEFT JOIN
(
SELECT
user_id
FROM
/* PLEASE REPLACE WITH YOUR TABLE NAME */
`YOUR_TABLE.events_*`AS T
CROSS JOIN
T.event_params
WHERE
event_params.key = 'engagement_time_msec' AND event_params.value.int_value > 0
/* Has engaged in last N = 2 days */
AND event_timestamp >
UNIX_MICROS(TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 2 DAY))
/* PLEASE REPLACE WITH YOUR DESIRED DATE RANGE */
AND _TABLE_SUFFIX BETWEEN '20180521' AND '20240131'
) AS NDaysUsers
ON MDaysUsers.user_id = NDaysUsers.user_id
WHERE
NDaysUsers.user_id IS NULL;
However, when replacing the user_id with user_pseudo_id, the YOUR_TABLE value with bigquery-public-data.ga4_obfuscated_sample_ecommerce and correcting the dates I get no results.
Is there a way to apply this code to the sample dataset?
Upvotes: 0
Views: 216
Reputation: 1428
What I can see is that you have to erase the line of _TABLE_SUFFIX
because the dataset of bigquery-public-data.ga4_obfuscated_sample_ecommerce
has only one event table.
What I did was to get the maximum timestamp date to replace it with the CURRENT_TIMESTAMP() to correct the date.
SELECT MAX(TIMESTAMP_MICROS(event_timestamp)) as time
FROM `bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*
After that I changed the values that you said by replacing user_id
with user_pseudo_id
and corrected the time and the table name.
Consider below approach:
SELECT
COUNT(DISTINCT MDaysUsers.user_pseudo_id) AS n_day_inactive_users_count
FROM
(
SELECT
user_pseudo_id
FROM
/* PLEASE REPLACE WITH YOUR TABLE NAME */
`bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*` AS T
CROSS JOIN
T.event_params
WHERE
event_params.key = 'engagement_time_msec' AND event_params.value.int_value > 0
/* Has engaged in last M = 7 days */
AND event_timestamp >
UNIX_MICROS(TIMESTAMP_SUB("2021-01-31 23:59:55.412363", INTERVAL 7 DAY))
/* PLEASE REPLACE WITH YOUR DESIRED DATE RANGE */
) AS MDaysUsers
-- EXCEPT ALL is not yet implemented in BigQuery. Use LEFT JOIN in the interim.
LEFT JOIN
(
SELECT
user_pseudo_id
FROM
/* PLEASE REPLACE WITH YOUR TABLE NAME */
`bigquery-public-data.ga4_obfuscated_sample_ecommerce.events_*`AS T
CROSS JOIN
T.event_params
WHERE
event_params.key = 'engagement_time_msec' AND event_params.value.int_value > 0
/* Has engaged in last N = 2 days */
AND event_timestamp >
UNIX_MICROS(TIMESTAMP_SUB("2021-01-31 23:59:55.412363", INTERVAL 2 DAY))
/* PLEASE REPLACE WITH YOUR DESIRED DATE RANGE */
) AS NDaysUsers
ON MDaysUsers.user_pseudo_id = NDaysUsers.user_pseudo_id
WHERE
NDaysUsers.user_pseudo_id IS NULL;
The result that it shows is the next:
Upvotes: 1