I have the following table/data:
| user_id | action_id | data |
-------------------------------------
| 10 | 1 | fly |
| 10 | 2 | train |
| 10 | 3 | fly |
| 10 | 4 | fly |
| 10 | 5 | fly |
| 10 | 6 | train |
| 10 | 7 | fly |
| 10 | 8 | train |
| 10 | 9 | fly |
| 10 | 10 | fly |
Is there a way in postgresql to count repeated continuous 'fly' occurrences? In this example, the results should be:
counts
------
1
3
1
2
Function. Description. nextval ( regclass ) → bigint. Advances the sequence object to its next value and returns that value. This is done atomically: even if multiple sessions execute nextval concurrently, each will safely receive a distinct sequence value.
By default, count query counts everything, including duplicates. Let's touch upon distinct , which is often used alongside count. This command uses an index-only scan but still takes around 3.5 seconds. The speed depends on many factors, including cardinality, size of the table, and whether the index is cached.
Yes, it's possible, using the lag
window function and a cumulative sum:
with FlagCTE as (
select t.action_id, t.data,
case when t.data = 'fly' and t.data = lag(t.data) over (order by t.action_id) then 0 else 1 end as Flag
from some_table t),
GroupCTE as (
select t.action_id,
t.data,
sum(t.Flag) over (order by t.action_id) as GroupId
from FlagCTE t
where t.data = 'fly')
select count(*) as counts
from GroupCTE t
group by t.GroupId
order by t.GroupId
SQLFiddle Demo
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