Mysql查询计算跳出率

Question

我们需要计算在我们的网站中有多少用户反弹。给定一个表，其中包含每个网页浏览的GUID（用户ID），主机名和路径。如果每个主机名只有1个GUID，则认为它是反弹。

Table Pageviews:
- GUID
- Hostname
- Path

我能够进行此查询，但我认为可能会有所改进。特别是在性能方面。

SELECT 1,  (Bounces / All) * 100 AS `Bounce Rate` From (
SELECT
    count(*) AS All,
    (
        SELECT count(*)
        FROM
        (
            SELECT GUID
            FROM pageviews
            GROUP BY GUID
            HAVING count(GUID) = 1
        )
    ) AS Bounces
    FROM pageviews
)

Answer 1

全球跳出率

按照guid和主机名对数据进行分组（两次，后者过滤后仅反弹）然后将它们连接在一起：）

SELECT count(bounces.guid) `bounces`,
       count(uniqueUsers.guid) `total unique users`,
       count(bounces.guid) / count(uniqueUsers.guid) * 100 `global bounce rate`
FROM (
   SELECT guid, hostname
   FROM PageViews
   GROUP BY guid, hostname
) uniqueUsers
LEFT JOIN (
   SELECT guid, hostname
   FROM PageViews
   GROUP BY guid, hostname
   HAVING COUNT(1) = 1
) bounces 
ON uniqueUsers.guid = bounces.guid
AND uniqueUsers.hostname = bounces.hostname

示例结果：

bounces   unique users   global bounce rate
-------   ------------   ------------------
3         6              50.0000

请注意，所有4＆＃39; guid 3＆＃39;针对host1的点击数仅计为1个唯一身份用户，但是＃guid 1＆＃39;命中host1和host2，因此它会计算2个唯一用户（我认为这是所需的逻辑）。

每主机跳出率

相同但在外部查询上有一个分组：）

SELECT uniqueUsers.hostname,
       count(bounces.guid) bounces,
       count(uniqueUsers.guid) `unique users`,
       count(bounces.guid) / count(uniqueUsers.guid) * 100 `global bounce rate`
FROM (
   SELECT guid, hostname
   FROM PageViews
   GROUP BY guid, hostname
) uniqueUsers
LEFT JOIN (
   SELECT guid, hostname
   FROM PageViews
   GROUP BY guid, hostname
   HAVING COUNT(1) = 1
) bounces 
ON uniqueUsers.guid = bounces.guid
AND uniqueUsers.hostname = bounces.hostname
GROUP BY uniqueUsers.hostname;

示例结果：

hostname   bounces   unique users   bounce rate
--------   -------   ------------   -----------
host1      2         4              50.0000
host2      0         1              0.0000
host3      1         1              100.0000

示例数据

guid   hostname   path
----   --------   ----
1      host1      irrelevant   => bounce 1
2      host1      irrelevant   => bounce 2
3      host1      irrelevant   => non-bounce 1 (visit 1/4)
3      host1      irrelevant
3      host1      irrelevant
3      host1      irrelevant
4      host1      irrelevant   => non-bounce 2 (visit 1/2)
4      host1      irrelevant
1      host2      irrelevant   => non-bounce 3 (visit 1/2)
1      host2      irrelevant
2      host3      irrelevant   => bounce 3