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使用SQL遍历行

[英]Iterate over rows using SQL

I have a table in a Redshift-database containing event-data. 我在Redshift数据库中有一个包含事件数据的表。 Each row is one event. 每行是一个事件。 Every event have eventid, but not sessionid that I now need. 每个事件都有eventid,但现在没有我需要的sessionid。 I have extracted a sample of the table (a subset of columns and only events from one userid): 我提取了该表的样本(列的子集,并且仅来自一个userid的事件):

time        userid          eventid     sessionstart    sessiontop
1498639773  101xnmnd1ohi62  504747459   t               f
1498639777  101xnmnd1ohi62  1479311450  f               f
1498639803  101xnmnd1ohi62  808610184   f               f
1498639816  101xnmnd1ohi62  335000637   f               f
1498639903  101xnmnd1ohi62  238269920   f               f
1498639906  101xnmnd1ohi62  990687838   f               f
1498639952  101xnmnd1ohi62  781472797   f               t
1498650109  101xnmnd1ohi62  1826568537  t               f
1498650124  101xnmnd1ohi62  2079795673  f               f
1498650365  101xnmnd1ohi62  578922176   f               t

This is ordered by userid and time, so that the events are displayed in correct order, according to session activity. 这是按照用户ID和时间排序的,以便根据会话活动以正确的顺序显示事件。 Every event has a boolean value for sessionstart and sessionstop. 每个事件的sessionstart和sessionstop都有一个布尔值。 By looking at the list of events I can identify the sessions by finding all events within (and including) sessionstart=true and sessionstop=true. 通过查看事件列表,我可以通过找到sessionstart = true和sessionstop = true(包括)内的所有事件来标识会话。 In the events listed here, there are two sessions. 在此处列出的事件中,有两个会话。 First session starts with eventid 504747459 and ends with 781472797. Second session starts with eventid 1826568537 and ends with 578922176. What I want to do is mark these two sessions (and all other sessions) with a sessionid, using SQL. 第一个会话以事件ID 504747459开始,并以781472797结束。第二个会话以事件ID 1826568537开始,并以578922176结束。我想做的是使用SQL使用SessionID标记这两个会话(以及所有其他会话)。 I haven't found any way to do this using SQL. 我还没有找到使用SQL的任何方法。 It will be possible using eg. 可以使用例如。 Python, but I believe the performance will be very poor. Python,但我相信性能会很差。 Therefore SQL is preferred. 因此,SQL是首选。

Does anyone have a tip to how I can solve this? 有没有人提示我如何解决这个问题?

I think it might be easier just to use sessionstart -- assuming that there are no events in-between as session start and session end. 我认为仅使用sessionstart可能会更容易-假设在session start和session end之间没有事件发生。

If so: 如果是这样的话:

select e.*
       sum(case when sessionstart then 1 else 0 end) over (partition by userid order by time) as user_sessionid
from events e;

This provides a sessionid "within" each user. 这提供了每个用户“内部”的sessionid。 If users always start with a new session (a reasonable assumption), then this is easily extended to a global session id: 如果用户始终以新的会话开始(合理的假设),则可以轻松地将其扩展为全局会话ID:

select e.*
       sum(case when sessionstart then 1 else 0 end) over (order by userid, time) as user_sessionid
from events e;

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