In 2017, there was a wonderful share by Mariya Mansurova who taught us how to calculate complex funnel metrics in ClickHouse by sequenceMatch.

But it was less efficient (pattern matching) and it lacks the sliding timestamp window support, which is very important on web analysis, especially on the E-commerce website analysis. So I do think it is very necessary to add this windowFunnel AggregateFunction.

Related issue #2096 #1836 #1241

Good feature. Thank you!

cheer 4 this.

In 2017, there was a wonderful share by Mariya Mansurova who taught us how to calculate complex funnel metrics in ClickHouse by sequenceMatch.

But it was less efficient (pattern matching) and it lacks the sliding timestamp window support, which is very important on web analysis, especially on the E-commerce website analysis. So I do think it is very necessary to add this windowFunnel AggregateFunction.

Related issue #2096 #1836 #1241

HI, Sunday... Here is a question about windowFunnel, the ComparePairFirst only compare event_time, what if two different things happened on the same event_time, and it did happen in the real world, it may cause random sort.

My suggestion is do a little change

struct ComparePairFirst final
{
    template <typename T1, typename T2>
    bool operator()(const std::pair<T1, T2> & lhs, const std::pair<T1, T2> & rhs) const
    {
        if (lhs.first < rhs.first) return true;
        else if (lhs.first = rhs.first) return lhs.second < rhs.second;
        else return false;
    }
};

Hope you can respond to me, thanks a lot.

My suggestion is do a little change

In this case, your advice may make the versatility lost. I don't think we should modify the ComparePairFirst function, yet we can make a new column, such as a1 * c1 + a2 * c2 + a3 * c3.. to be another kind of timestamp in source data.

column

Thanks for your answer... Make a new timestamp column sound a good idea, but could you please explain a1 * c1 + a2 * c2 + a3 * c3.. specifically more? What do these a1, c1, a2, c2... parameters represent?

For example, here is a demo:

What do these a1, c1, a2, c2... parameters represent

It's just a simple demo equation. In your case, if you want to sort the events by sequential comparison by (event_time, pid), you can create an equation based on your data.

What do these a1, c1, a2, c2... parameters represent

It's just a simple demo equation. In your case, if you want to sort the events by sequential comparison by (event_time, pid), you can create an equation based on your data.

Thanks a lot... I try to make the description of my confusion clearer again. Actually, in my case, if I try to use windowFunnel, it will get two different results usually. For example:

select t.uid,
       windowFunnel(20) (event_time, event='A', event='B') as funnel
from (
select 123 as uid,
	   'A' as event,
	   10 as event_time
union all
select 123 as uid,
	   'B' as event,
	   10 as event_time
) t group by t.uid

How could I fix the problem use by SQL without modify source code? Or does it works if I modify ComparePairFirst function like before?

What do these a1, c1, a2, c2... parameters represent

It's just a simple demo equation. In your case, if you want to sort the events by sequential comparison by (event_time, pid), you can create an equation based on your data.

it can not use equation. the equation will make the window size not work!

i think you shoud change the ComparePairFirst function as :

struct ComparePairFirst final
{
    template <typename T1, typename T2>
    bool operator()(const std::pair<T1, T2> & lhs, const std::pair<T1, T2> & rhs) const
    {
        if (lhs.first < rhs.first) return true;
        else if (lhs.first = rhs.first) return lhs.second < rhs.second;
        else return false;
    }
};