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Query key value in different columns from Google BigQuery

I gather analytics with Firebase Analytics which I linked to Google BigQuery.

I have the following data in BigQuery (unnecessary columns/rows are left off, the dataset looks similar to https://bigquery.cloud.google.com/table/firebase-analytics-sample-data:ios_dataset.app_events_20160607?tab=preview):

| event_dim.name | event_dim.params.key | event_dim.params.value.string_value |
|----------------|----------------------|-------------------------------------|
| read_post      | post_id              | p_100                               |
|                | group_id             | g_1                                 |
|                | user_id              | u_1                                 |
| open_group     | post_id              | p_200                               |
|                | group_id             | g_2                                 |
|                | user_id              | u_1                                 |
| open_group     | post_id              | p_300                               |
|                | group_id             | g_1                                 |
|                | user_id              | u_3                                 |

I want to query the following data:

  • event name
  • user id
  • group id

I tried the following query:

SELECT
  event_dim.name,
  FIRST(IF(event_dim.params.key = "user_id", event_dim.params.value.string_value, NULL)) WITHIN RECORD user_id,
  FIRST(IF(event_dim.params.key = "group_id", event_dim.params.value.string_value, NULL)) WITHIN RECORD group_id
FROM
  [xxx:xxx_IOS.app_events_20161102]
LIMIT
  1000

The problem with the above query is that the aggregate function FIRST will give the wrong result because the SELECT statements with a WITHIN modifier will return a list of results. The FIRST function will only give the correct result in case of the first row.

like image 951
Timon Avatar asked Jan 05 '23 03:01

Timon


1 Answers

Using standard SQL (uncheck "Use Legacy SQL" under "Show Options") you can do:

SELECT
  event_dim.name,
  (SELECT value.string_value FROM UNNEST(params)
   WHERE key = 'user_id') AS user_id,
  (SELECT value.string_value FROM UNNEST(params)
   WHERE key = 'group_id') AS group_id
FROM `firebase-analytics-sample-data.ios_dataset.app_events_20160607`,
  UNNEST(event_dim) AS event_dim
LIMIT 1000;

If you only want rows that have both 'user_id' and 'group_id', you can filter out the NULL values:

SELECT * FROM (
  SELECT
    event_dim.name,
    (SELECT value.string_value FROM UNNEST(params)
     WHERE key = 'user_id') AS user_id,
    (SELECT value.string_value FROM UNNEST(params)
     WHERE key = 'group_id') AS group_id
  FROM `firebase-analytics-sample-data.ios_dataset.app_events_20160607`,
    UNNEST(event_dim) AS event_dim
)
WHERE user_id IS NOT NULL AND group_id IS NOT NULL
LIMIT 1000;
like image 121
Elliott Brossard Avatar answered Jan 18 '23 22:01

Elliott Brossard