如何在BigQuery中选择多个自定义Firebase事件参数?

时间:2016-12-11 19:46:27

标签: firebase google-bigquery firebase-analytics

我将Firebase事件导出到BigQuery,现在我尝试从某个事件中选择两个参数。以下是选择一个参数的查询:

Caffe

两个参数都是int值,第一个参数的名称是Caffe,第二个参数是select event_dim.params.value.int_value as level_id from [com_company_appname_ANDROID.app_events_20161210] where event_dim.name = "level_replays_until_first_victory" and event_dim.params.key = "level_id" 。我想要显示的是第一列中的level_id和第二列中的count

3 个答案:

答案 0 :(得分:12)

下面将使用BigQuery Standard SQL

SELECT 
  (SELECT params.value.int_value FROM x.params 
                                 WHERE params.key = 'level_id') AS level_id,
  (SELECT params.value.int_value FROM x.params 
                                 WHERE params.key = 'count') AS count
FROM `com_company_appname_ANDROID.app_events_20161210`, UNNEST(event_dim) AS x
WHERE x.name  = 'level_replays_until_first_victory'

如果您遇到遗留SQL

,请参阅Migrating from legacy SQL

答案 1 :(得分:7)

我喜欢以前的解决方案!这是我提出的同样问题的替代解决方案。我欢迎评论哪种解决方案更有效/更便宜以及为什么。

SELECT event_param1.value.int_value AS level_id, 
event_param2.value.int_value AS count
FROM `com_company_appname_ANDROID.app_events_20161210`,
UNNEST(event_dim) event,
UNNEST(event.params) as event_param1,
UNNEST(event.params) as event_param2
WHERE event.name = 'level_replays_until_first_victory'
AND event_param1.key = 'level_id'
AND event_param2.key = 'count'

答案 2 :(得分:1)

我觉得非常方便的另一个解决方案是使用User Defined Functions to analyze user properties and event parameters

#Standard-SQL

#UDF for event parameters
CREATE TEMP FUNCTION paramValueByKey(k STRING, params ARRAY<STRUCT<key STRING, value STRUCT<string_value STRING, int_value INT64, float_value FLOAT64, double_value FLOAT64 >>>) AS (
  (SELECT x.value FROM UNNEST(params) x WHERE x.key=k)
);

#UDF for user properties
CREATE TEMP FUNCTION propertyValueByKey(k STRING, properties ARRAY<STRUCT<key STRING, value STRUCT<value STRUCT<string_value STRING, int_value INT64, float_value FLOAT64, double_value FLOAT64>, set_timestamp_usec INT64, index INT64 > >>) AS (
  (SELECT x.value.value FROM UNNEST(properties) x WHERE x.key=k)
);

#Query the sample dataset, unnesting the events and turn 'api_version', 'round' and 'type_of_game' into columns 
SELECT 
  user_dim.user_id,
  event.name,
  propertyValueByKey('api_version', user_dim.user_properties).string_value AS api_version,
 paramValueByKey('round', event.params).int_value as round,
 paramValueByKey('type_of_game', event.params).string_value as type_of_game
FROM `firebase-analytics-sample-data.android_dataset.app_events_20160607`,
UNNEST(event_dim) as event
WHERE event.name = 'round_completed'
LIMIT 10;