google-analytics - Bigquery Google Analytics 用户不计入唯一性

Question

我在 BigQuery for Google Analytics 中遇到以下查询问题。由于某种原因，我无法将用户数计算为唯一用户，它本质上是计算行数，因此这些数字与 session 非常相似。我也试过 EXACT_COUNT_DISTINCT() 但给了我同样的答案。

    SELECT
  date AS Day,
  MAX(CASE
      WHEN hits.sourcePropertyInfo.sourcePropertyTrackingId CONTAINS '778****' THEN 'MUG'
      WHEN hits.sourcePropertyInfo.sourcePropertyTrackingId = 'Social' THEN 'Social'ELSE 'Website' END) AS Property,
  geoNetwork.country AS Country,
  SUM(totals.visits) AS visits,
  COUNT (DISTINCT(fullVisitorId), 1000000) AS Users,
  SUM(IFNULL(totals.newVisits,0)) AS NEW,
  (SUM(IFNULL(totals.screenviews,0))+SUM(IFNULL(totals.pageviews,0))) AS PAGEVIEWS,
  IFNULL(SUM(CASE
        WHEN totals.screenviews = 1 THEN SUM(IFNULL(totals.screenviews,0))
        ELSE 0 END)+ SUM(IFNULL(totals.bounces,0)),0) AS BOUNCES,
  SUM(CASE
      WHEN REGEXP_MATCH(hits.eventInfo.eventAction,'register$|registersuccess|new registration|account signup|registro') THEN 1
      ELSE 0 END) AS NewRegistrations,
  SUM(CASE
      WHEN REGEXP_MATCH(hits.eventInfo.eventAction, 'add to cart|add to bag|click to buy|ass to basket|comprar') OR hits.eventInfo.eventAction CONTAINS 'addtobasket::' THEN 1
      ELSE 0 END) AS ClickToBuy,
  SUM(IFNULL(totals.transactions,0)) AS Transactions,
  SUM(IFNULL(totals.transactionRevenue,0))/1000000 AS Revenue
FROM (TABLE_DATE_RANGE([****.ga_sessions_], TIMESTAMP('2017-03-15'), TIMESTAMP('2017-03-31'))),
GROUP BY
  Day,
  Country,
  geoNetwork.country,
  totals.screenviews;

Answer 1

我刚刚测试了这个查询，它似乎有点简单:

SELECT
date,
MAX(CASE
     WHEN hits.sourcePropertyInfo.sourcePropertyTrackingId CONTAINS '778****' THEN 'MUG'
     WHEN hits.sourcePropertyInfo.sourcePropertyTrackingId = 'Social' THEN 'Social'ELSE 'Website' END) AS Property,
geoNetwork.country AS Country,
SUM(totals.visits) AS visits,
COUNT(DISTINCT(fullVisitorId), 1000000) AS Users,
SUM(totals.newVisits) AS NEW,
SUM(totals.pageviews) AS PAGEVIEWS,
SUM(totals.bounces) AS BOUNCES,
SUM(CASE
      WHEN REGEXP_MATCH(hits.eventInfo.eventAction,'register$|registersuccess|new registration|account signup|registro') THEN 1
      ELSE 0 END) AS NewRegistrations,
SUM(CASE
      WHEN REGEXP_MATCH(hits.eventInfo.eventAction, 'add to cart|add to bag|click to buy|ass to basket|comprar|addtobasket::') THEN 1
      ELSE 0 END) AS ClickToBuy,
SUM(totals.transactions) AS Transactions,
SUM(totals.transactionRevenue) /1000000 AS Revenue
FROM (TABLE_DATE_RANGE([project_id:dataset_id.ga_sessions_], TIMESTAMP('2017-03-15'), TIMESTAMP('2017-03-31'))),
GROUP BY
date, Country

它在我们的数据库中确实有效(但不确定为什么您将屏幕浏览量与综合浏览量相加)。

在标准 SQL(强烈建议您使用此版本)中，这可能已经为您解决了:

SELECT
date,
MAX(CASE
     WHEN exists(select 1 from unnest(hits) hits where regexp_contains(hits.sourcePropertyInfo.sourcePropertyTrackingId, r'778\*\*\*\*')) THEN 'MUG'
     WHEN exists(select 1 from unnest(hits) hits where hits.sourcePropertyInfo.sourcePropertyTrackingId = 'Social') THEN 'Social'ELSE 'Website' END) AS Property,
geoNetwork.country AS Country,
SUM(totals.visits) AS visits,
COUNT(DISTINCT(fullVisitorId)) AS Users,
SUM(totals.newVisits) AS new_,
SUM(totals.pageviews) AS PAGEVIEWS,
SUM(totals.bounces) AS BOUNCES,
SUM(CASE
      WHEN exists(select 1 from unnest(hits) hits where REGEXP_contains(hits.eventInfo.eventAction,'register$|registersuccess|new registration|account signup|registro')) THEN 1
      ELSE 0 END) AS NewRegistrations,
SUM(CASE
      WHEN exists(select 1 from unnest(hits) hits where REGEXP_contains(hits.eventInfo.eventAction, 'add to cart|add to bag|click to buy|ass to basket|comprar|addtobasket::')) THEN 1
      ELSE 0 END) AS ClickToBuy,
SUM(totals.transactions) AS Transactions,
SUM(totals.transactionRevenue) /1000000 AS Revenue
FROM `project_id.dataset_id.ga_sessions*`
where 1 = 1
and parse_timestamp("%Y%m%d", regexp_extract(_table_suffix, r'.*_(.*)')) between  TIMESTAMP('2017-03-15') and  TIMESTAMP('2017-03-31')
GROUP BY
date, Country