我在哪里可以找到 Firebase Analytics 中的平均会话持续时间。如何通过 Bigquery 提取此指标

Question

1. 在哪里可以找到平均。Firebase 分析中的会话持续时间指标？
2. 如何提取平均值 来自 Bigquery 的会话持续时间指标数据？

平均 之前在 Firebase 分析仪表板中可用的会话持续时间指标。但现在，它在 Firebase 分析仪表板中不可用。现在，我们只看到“每位用户的参与度”。是每个用户和平均的参与度。会话时长 两者相同吗？如何提取平均值 Fiebase 分析的会话持续时间？如何在 Bigquery 中查询以提取 Avg. Firebase 的会话持续时间指标。 在此处输入图片说明

Answer 1

每个用户的参与度与平均互动度不同。会话持续时间。每个用户的参与度是指用户在一天内在应用中花费的所有时间，而不是在会话中。

1. 你可以找到平均。Firebase Analytics 中最新版本下的会话持续时间。

2. 这是用于计算 avg 的查询。BigQuery 中的会话长度：

with timeline as
(
  select 
    user_pseudo_id
    , event_timestamp
    , lag(event_timestamp, 1) over (partition by user_pseudo_id order by event_timestamp) as prev_event_timestamp
  from 
    `YYYYY.analytics_XXXXX.events_*`
  where
    -- at first - a sliding period - how many days in the past we are looking into:
    _table_suffix
           between format_date("%Y%m%d", date_sub(current_date, interval 10 day))
           and     format_date("%Y%m%d", date_sub(current_date, interval 1 day))
) 
, session_timeline as 
(
  select 
    user_pseudo_id
    , event_timestamp
    , case 
        when 
           -- half a hour period - a threshold for a new 'session'
           event_timestamp - prev_event_timestamp >= (30*60*1000*1000)
             or
           prev_event_timestamp is null 
          then 1
          else 0 
      end as is_new_session_flag
  from 
    timeline
)
, marked_sessions as
(
  select 
    user_pseudo_id
    , event_timestamp
    , sum(is_new_session_flag) over (partition by user_pseudo_id order by event_timestamp) AS user_session_id
  from session_timeline
)
, measured_sessions as
(
  select
    user_pseudo_id
    , user_session_id
    -- session duration in seconds with 2 digits after the point
    , round((max(event_timestamp) - min(event_timestamp))/ (1000 * 1000), 2) as session_duration
  from 
    marked_sessions
  group by
    user_pseudo_id
    , user_session_id
  having 
    -- let's count only sessions longer than 10 seconds
    session_duration >= 10
)
select 
  count(1)                          as number_of_sessions
  , round(avg(session_duration), 2) as average_session_duration_in_sec
from 
  measured_sessions

有关如何获取 event_date 和 app_info.id 的其他问题，请参阅以下查询：

with timeline as
(
  select 
     event_date,app_info.id,user_pseudo_id
    , event_timestamp
    , lag(event_timestamp, 1) over (partition by user_pseudo_id order by event_timestamp) as prev_event_timestamp
  from 
    `<table>_*`
  where
    -- at first - a sliding period - how many days in the past we are looking into:
    _table_suffix
          between format_date("%Y%m%d", date_sub(current_date, interval 10 day))
          and     format_date("%Y%m%d", date_sub(current_date, interval 1 day))
) 
, session_timeline as 
(
  select 
    event_date,id,
    user_pseudo_id
    , event_timestamp
    , case 
        when 
           -- half a hour period - a threshold for a new 'session'
           event_timestamp - prev_event_timestamp >= (30*60*1000*1000)
             or
           prev_event_timestamp is null 
          then 1
          else 0 
      end as is_new_session_flag
  from 
    timeline
)
, marked_sessions as
(
  select 
     event_date,id, user_pseudo_id
    , event_timestamp
    , sum(is_new_session_flag) over (partition by user_pseudo_id order by event_timestamp) AS user_session_id
  from session_timeline
)
, measured_sessions as
(
  select
     event_date,id, user_pseudo_id
    , user_session_id
    -- session duration in seconds with 2 digits after the point
    , round((max(event_timestamp) - min(event_timestamp))/ (1000 * 1000), 2) as session_duration
  from 
    marked_sessions
  group by
     event_date, id, user_pseudo_id
    , user_session_id
  having 
    -- let's count only sessions longer than 10 seconds
    session_duration >= 10
)
select 
   event_date, id, count(1)                          as number_of_sessions
  , round(avg(session_duration), 2) as average_session_duration_in_sec
from 
  measured_sessions
  group by event_date, id