Grouping by time difference in Amazon Redshift
0
I'm using the following query:
SELECT a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) AS events
FROM table1 a
JOIN table1 b ON a.session_id = b.session_id
GROUP BY a.session_id,
a.created_at
ORDER BY a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) DESC
to get the following result:
Session1 2018-10-09 14:04:31.0 22
Session1 2018-10-09 14:04:32.0 10
Session1 2018-10-09 14:04:34.0 1
Session1 2018-10-09 14:04:38.0 1
Session1 2018-10-09 14:04:41.0 1
Session1 2018-10-09 14:04:42.0 1
Session1 2018-10-09 14:04:43.0 2
Session1 2018-10-09 14:04:44.0 2
Session1 2018-10-09 14:04:45.0 1
Session1 2018-10-09 14:04:46.0 2
Session1 2018-10-09 14:04:47.0 2
Session1 2018-10-09 14:04:50.0 2
Session1 2018-10-09 14:04:51.0 2
Session1 2018-10-09 14:04:52.0 1
Session1 2018-10-09 14:04:53.0 1
Session1 2018-10-09 14:04:55.0 1
Session1 2018-10-09 14:04:56.0 1
Session1 2018-10-09 14:04:57.0 1
Session1 2018-10-09 14:05:00.0 1
Session1 2018-10-09 14:05:01.0 2
Session1 2018-10-09 14:05:03.0 3
Session1 2018-10-09 14:05:06.0 1
Session1 2018-10-09 14:05:07.0 2
Session1 2018-10-09 14:05:09.0 4
Session1 2018-10-09 14:05:10.0 30
I would like to group all the events occuring within a 3 second window to get the following result:
Session1 2018-10-09 14:04:31.0 33
Session1 2018-10-09 14:04:38.0 2
Session1 2018-10-09 14:04:42.0 6
Session1 2018-10-09 14:04:46.0 4
Session1 2018-10-09 14:04:50.0 6
Session1 2018-10-09 14:04:55.0 3
Session1 2018-10-09 14:05:00.0 6
Session1 2018-10-09 14:05:06.0 7
Session1 2018-10-09 14:05:10.0 30
I would like to sum all the occurences within a 3 second period to get the resultant column, as shown above.
To try to achieve this, I used the following query:
WITH t AS
(
SELECT a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) AS events
FROM table1 a
JOIN table1 b ON a.session_id = b.session_id
GROUP BY a.session_id,
a.created_at
ORDER BY a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) DESC
)
SELECT a.session_id,
TIMESTAMP WITH TIME ZONE 'epoch' +INTERVAL '1 second' *ROUND(EXTRACT('epoch' FROM a.created_at) / 3)*3 AS TIMESTAMP,
SUM(b.events)
FROM t AS a
JOIN t AS b ON a.session_id = b.session_id
GROUP BY a.session_id,
ROUND(EXTRACT('epoch' FROM a.created_at) / 3)
ORDER BY a.session_id,
TIMESTAMP
but this gives me numbers that are incorrect.
How do I achieve this? Any help would be much appreciated.
sql amazon-redshift
asked Nov 13 '18 at 22:05
PatthebugPatthebug
1,49842254
add a comment |
0
I'm using the following query:
SELECT a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) AS events
FROM table1 a
JOIN table1 b ON a.session_id = b.session_id
GROUP BY a.session_id,
a.created_at
ORDER BY a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) DESC
to get the following result:
Session1 2018-10-09 14:04:31.0 22
Session1 2018-10-09 14:04:32.0 10
Session1 2018-10-09 14:04:34.0 1
Session1 2018-10-09 14:04:38.0 1
Session1 2018-10-09 14:04:41.0 1
Session1 2018-10-09 14:04:42.0 1
Session1 2018-10-09 14:04:43.0 2
Session1 2018-10-09 14:04:44.0 2
Session1 2018-10-09 14:04:45.0 1
Session1 2018-10-09 14:04:46.0 2
Session1 2018-10-09 14:04:47.0 2
Session1 2018-10-09 14:04:50.0 2
Session1 2018-10-09 14:04:51.0 2
Session1 2018-10-09 14:04:52.0 1
Session1 2018-10-09 14:04:53.0 1
Session1 2018-10-09 14:04:55.0 1
Session1 2018-10-09 14:04:56.0 1
Session1 2018-10-09 14:04:57.0 1
Session1 2018-10-09 14:05:00.0 1
Session1 2018-10-09 14:05:01.0 2
Session1 2018-10-09 14:05:03.0 3
Session1 2018-10-09 14:05:06.0 1
Session1 2018-10-09 14:05:07.0 2
Session1 2018-10-09 14:05:09.0 4
Session1 2018-10-09 14:05:10.0 30
I would like to group all the events occuring within a 3 second window to get the following result:
Session1 2018-10-09 14:04:31.0 33
Session1 2018-10-09 14:04:38.0 2
Session1 2018-10-09 14:04:42.0 6
Session1 2018-10-09 14:04:46.0 4
Session1 2018-10-09 14:04:50.0 6
Session1 2018-10-09 14:04:55.0 3
Session1 2018-10-09 14:05:00.0 6
Session1 2018-10-09 14:05:06.0 7
Session1 2018-10-09 14:05:10.0 30
I would like to sum all the occurences within a 3 second period to get the resultant column, as shown above.
To try to achieve this, I used the following query:
WITH t AS
(
SELECT a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) AS events
FROM table1 a
JOIN table1 b ON a.session_id = b.session_id
GROUP BY a.session_id,
a.created_at
ORDER BY a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) DESC
)
SELECT a.session_id,
TIMESTAMP WITH TIME ZONE 'epoch' +INTERVAL '1 second' *ROUND(EXTRACT('epoch' FROM a.created_at) / 3)*3 AS TIMESTAMP,
SUM(b.events)
FROM t AS a
JOIN t AS b ON a.session_id = b.session_id
GROUP BY a.session_id,
ROUND(EXTRACT('epoch' FROM a.created_at) / 3)
ORDER BY a.session_id,
TIMESTAMP
but this gives me numbers that are incorrect.
How do I achieve this? Any help would be much appreciated.
sql amazon-redshift
asked Nov 13 '18 at 22:05
PatthebugPatthebug
1,49842254
I don't understand your query. You are not using tableb.
– Gordon Linoff
Nov 13 '18 at 22:06
please remove postgresql tag
– Jon Scott
Nov 13 '18 at 22:57
I'm confused: 1. Do you want to assign the start of the three seconds based on the data OR follow a fixed pattern [0-3,3-6,6-9,...]. 2. Why are you joining t back to t when you are not using it? This is just asking for trouble!
– hibernado
Nov 14 '18 at 8:31
add a comment |
0
0
0
I'm using the following query:
SELECT a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) AS events
FROM table1 a
JOIN table1 b ON a.session_id = b.session_id
GROUP BY a.session_id,
a.created_at
ORDER BY a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) DESC
to get the following result:
Session1 2018-10-09 14:04:31.0 22
Session1 2018-10-09 14:04:32.0 10
Session1 2018-10-09 14:04:34.0 1
Session1 2018-10-09 14:04:38.0 1
Session1 2018-10-09 14:04:41.0 1
Session1 2018-10-09 14:04:42.0 1
Session1 2018-10-09 14:04:43.0 2
Session1 2018-10-09 14:04:44.0 2
Session1 2018-10-09 14:04:45.0 1
Session1 2018-10-09 14:04:46.0 2
Session1 2018-10-09 14:04:47.0 2
Session1 2018-10-09 14:04:50.0 2
Session1 2018-10-09 14:04:51.0 2
Session1 2018-10-09 14:04:52.0 1
Session1 2018-10-09 14:04:53.0 1
Session1 2018-10-09 14:04:55.0 1
Session1 2018-10-09 14:04:56.0 1
Session1 2018-10-09 14:04:57.0 1
Session1 2018-10-09 14:05:00.0 1
Session1 2018-10-09 14:05:01.0 2
Session1 2018-10-09 14:05:03.0 3
Session1 2018-10-09 14:05:06.0 1
Session1 2018-10-09 14:05:07.0 2
Session1 2018-10-09 14:05:09.0 4
Session1 2018-10-09 14:05:10.0 30
I would like to group all the events occuring within a 3 second window to get the following result:
Session1 2018-10-09 14:04:31.0 33
Session1 2018-10-09 14:04:38.0 2
Session1 2018-10-09 14:04:42.0 6
Session1 2018-10-09 14:04:46.0 4
Session1 2018-10-09 14:04:50.0 6
Session1 2018-10-09 14:04:55.0 3
Session1 2018-10-09 14:05:00.0 6
Session1 2018-10-09 14:05:06.0 7
Session1 2018-10-09 14:05:10.0 30
I would like to sum all the occurences within a 3 second period to get the resultant column, as shown above.
To try to achieve this, I used the following query:
WITH t AS
(
SELECT a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) AS events
FROM table1 a
JOIN table1 b ON a.session_id = b.session_id
GROUP BY a.session_id,
a.created_at
ORDER BY a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) DESC
)
SELECT a.session_id,
TIMESTAMP WITH TIME ZONE 'epoch' +INTERVAL '1 second' *ROUND(EXTRACT('epoch' FROM a.created_at) / 3)*3 AS TIMESTAMP,
SUM(b.events)
FROM t AS a
JOIN t AS b ON a.session_id = b.session_id
GROUP BY a.session_id,
ROUND(EXTRACT('epoch' FROM a.created_at) / 3)
ORDER BY a.session_id,
TIMESTAMP
but this gives me numbers that are incorrect.
How do I achieve this? Any help would be much appreciated.
sql amazon-redshift
asked Nov 13 '18 at 22:05
PatthebugPatthebug
1,49842254
I'm using the following query:
SELECT a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) AS events
FROM table1 a
JOIN table1 b ON a.session_id = b.session_id
GROUP BY a.session_id,
a.created_at
ORDER BY a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) DESC
to get the following result:
Session1 2018-10-09 14:04:31.0 22
Session1 2018-10-09 14:04:32.0 10
Session1 2018-10-09 14:04:34.0 1
Session1 2018-10-09 14:04:38.0 1
Session1 2018-10-09 14:04:41.0 1
Session1 2018-10-09 14:04:42.0 1
Session1 2018-10-09 14:04:43.0 2
Session1 2018-10-09 14:04:44.0 2
Session1 2018-10-09 14:04:45.0 1
Session1 2018-10-09 14:04:46.0 2
Session1 2018-10-09 14:04:47.0 2
Session1 2018-10-09 14:04:50.0 2
Session1 2018-10-09 14:04:51.0 2
Session1 2018-10-09 14:04:52.0 1
Session1 2018-10-09 14:04:53.0 1
Session1 2018-10-09 14:04:55.0 1
Session1 2018-10-09 14:04:56.0 1
Session1 2018-10-09 14:04:57.0 1
Session1 2018-10-09 14:05:00.0 1
Session1 2018-10-09 14:05:01.0 2
Session1 2018-10-09 14:05:03.0 3
Session1 2018-10-09 14:05:06.0 1
Session1 2018-10-09 14:05:07.0 2
Session1 2018-10-09 14:05:09.0 4
Session1 2018-10-09 14:05:10.0 30
I would like to group all the events occuring within a 3 second window to get the following result:
Session1 2018-10-09 14:04:31.0 33
Session1 2018-10-09 14:04:38.0 2
Session1 2018-10-09 14:04:42.0 6
Session1 2018-10-09 14:04:46.0 4
Session1 2018-10-09 14:04:50.0 6
Session1 2018-10-09 14:04:55.0 3
Session1 2018-10-09 14:05:00.0 6
Session1 2018-10-09 14:05:06.0 7
Session1 2018-10-09 14:05:10.0 30
I would like to sum all the occurences within a 3 second period to get the resultant column, as shown above.
To try to achieve this, I used the following query:
WITH t AS
(
SELECT a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) AS events
FROM table1 a
JOIN table1 b ON a.session_id = b.session_id
GROUP BY a.session_id,
a.created_at
ORDER BY a.session_id,
a.created_at,
COUNT(DISTINCT a.mongo_id) DESC
)
SELECT a.session_id,
TIMESTAMP WITH TIME ZONE 'epoch' +INTERVAL '1 second' *ROUND(EXTRACT('epoch' FROM a.created_at) / 3)*3 AS TIMESTAMP,
SUM(b.events)
FROM t AS a
JOIN t AS b ON a.session_id = b.session_id
GROUP BY a.session_id,
ROUND(EXTRACT('epoch' FROM a.created_at) / 3)
ORDER BY a.session_id,
TIMESTAMP
but this gives me numbers that are incorrect.
How do I achieve this? Any help would be much appreciated.
sql amazon-redshift
sql amazon-redshift
asked Nov 13 '18 at 22:05
PatthebugPatthebug
1,49842254
asked Nov 13 '18 at 22:05
PatthebugPatthebug
1,49842254
edited Nov 13 '18 at 23:09
Patthebug
asked Nov 13 '18 at 22:05
PatthebugPatthebug
1,49842254
asked Nov 13 '18 at 22:05
PatthebugPatthebug
1,49842254
asked Nov 13 '18 at 22:05
PatthebugPatthebug
1,49842254
1,49842254
I don't understand your query. You are not using tableb.
– Gordon Linoff
Nov 13 '18 at 22:06
please remove postgresql tag
– Jon Scott
Nov 13 '18 at 22:57
I'm confused: 1. Do you want to assign the start of the three seconds based on the data OR follow a fixed pattern [0-3,3-6,6-9,...]. 2. Why are you joining t back to t when you are not using it? This is just asking for trouble!
– hibernado
Nov 14 '18 at 8:31
add a comment |
I don't understand your query. You are not using tableb.
– Gordon Linoff
Nov 13 '18 at 22:06
please remove postgresql tag
– Jon Scott
Nov 13 '18 at 22:57
I'm confused: 1. Do you want to assign the start of the three seconds based on the data OR follow a fixed pattern [0-3,3-6,6-9,...]. 2. Why are you joining t back to t when you are not using it? This is just asking for trouble!
– hibernado
Nov 14 '18 at 8:31
I don't understand your query. You are not using table
b.– Gordon Linoff
Nov 13 '18 at 22:06
I don't understand your query. You are not using table
b.– Gordon Linoff
Nov 13 '18 at 22:06
please remove postgresql tag
– Jon Scott
Nov 13 '18 at 22:57
please remove postgresql tag
– Jon Scott
Nov 13 '18 at 22:57
I'm confused: 1. Do you want to assign the start of the three seconds based on the data OR follow a fixed pattern [0-3,3-6,6-9,...]. 2. Why are you joining t back to t when you are not using it? This is just asking for trouble!
– hibernado
Nov 14 '18 at 8:31
I'm confused: 1. Do you want to assign the start of the three seconds based on the data OR follow a fixed pattern [0-3,3-6,6-9,...]. 2. Why are you joining t back to t when you are not using it? This is just asking for trouble!
– hibernado
Nov 14 '18 at 8:31
add a comment |
1 Answer
1
active
oldest
votes
0
Let me assume you get the result you specify somehow. Then you can use window functions:
with results as (
<whatever>
)
select sessionid, min(created_at), max(created_at), sum(events)
from (select r.*,
sum( (prev_ca < created_at - interval '3 second')::int ) over (partition by sessionid order by created_at rows between unbounded preceding and current row) as grp
from (select r.*,
lag(created_at) over (partition by sessionid order by created_at) as prev_ca
from results r
) r
) r
group by sessionid, grp;
What this does is determine where a group starts, by looking at the previous created_at and seeing if it is more than 3 seconds earlier. If so, a group starts.
The cumulative sum of the group starts is a grouping identifier, which can be used for aggregation.
answered Nov 13 '18 at 22:13
Gordon LinoffGordon Linoff
766k35300402
This query doesn't execute. It doesn't seem to use the tableresultsand the tableris used twice. I'm sorry but I'm a little confused.
– Patthebug
Nov 13 '18 at 22:20
@Patthebug . . . It now has thefromclause.
– Gordon Linoff
Nov 13 '18 at 22:21
I now get the following error:Invalid operation: Aggregate window functions with an ORDER BY clause require a frame clause;
– Patthebug
Nov 13 '18 at 22:23
@Patthebug . . . That is a peculiarity of Redshift SQL.
– Gordon Linoff
Nov 13 '18 at 22:34
add a comment |
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1 Answer
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0
Let me assume you get the result you specify somehow. Then you can use window functions:
with results as (
<whatever>
)
select sessionid, min(created_at), max(created_at), sum(events)
from (select r.*,
sum( (prev_ca < created_at - interval '3 second')::int ) over (partition by sessionid order by created_at rows between unbounded preceding and current row) as grp
from (select r.*,
lag(created_at) over (partition by sessionid order by created_at) as prev_ca
from results r
) r
) r
group by sessionid, grp;
What this does is determine where a group starts, by looking at the previous created_at and seeing if it is more than 3 seconds earlier. If so, a group starts.
The cumulative sum of the group starts is a grouping identifier, which can be used for aggregation.
answered Nov 13 '18 at 22:13
Gordon LinoffGordon Linoff
766k35300402
This query doesn't execute. It doesn't seem to use the tableresultsand the tableris used twice. I'm sorry but I'm a little confused.
– Patthebug
Nov 13 '18 at 22:20
@Patthebug . . . It now has thefromclause.
– Gordon Linoff
Nov 13 '18 at 22:21
I now get the following error:Invalid operation: Aggregate window functions with an ORDER BY clause require a frame clause;
– Patthebug
Nov 13 '18 at 22:23
@Patthebug . . . That is a peculiarity of Redshift SQL.
– Gordon Linoff
Nov 13 '18 at 22:34
add a comment |
0
Let me assume you get the result you specify somehow. Then you can use window functions:
with results as (
<whatever>
)
select sessionid, min(created_at), max(created_at), sum(events)
from (select r.*,
sum( (prev_ca < created_at - interval '3 second')::int ) over (partition by sessionid order by created_at rows between unbounded preceding and current row) as grp
from (select r.*,
lag(created_at) over (partition by sessionid order by created_at) as prev_ca
from results r
) r
) r
group by sessionid, grp;
What this does is determine where a group starts, by looking at the previous created_at and seeing if it is more than 3 seconds earlier. If so, a group starts.
The cumulative sum of the group starts is a grouping identifier, which can be used for aggregation.
answered Nov 13 '18 at 22:13
Gordon LinoffGordon Linoff
766k35300402
This query doesn't execute. It doesn't seem to use the tableresultsand the tableris used twice. I'm sorry but I'm a little confused.
– Patthebug
Nov 13 '18 at 22:20
@Patthebug . . . It now has thefromclause.
– Gordon Linoff
Nov 13 '18 at 22:21
I now get the following error:Invalid operation: Aggregate window functions with an ORDER BY clause require a frame clause;
– Patthebug
Nov 13 '18 at 22:23
@Patthebug . . . That is a peculiarity of Redshift SQL.
– Gordon Linoff
Nov 13 '18 at 22:34
add a comment |
0
0
0
Let me assume you get the result you specify somehow. Then you can use window functions:
with results as (
<whatever>
)
select sessionid, min(created_at), max(created_at), sum(events)
from (select r.*,
sum( (prev_ca < created_at - interval '3 second')::int ) over (partition by sessionid order by created_at rows between unbounded preceding and current row) as grp
from (select r.*,
lag(created_at) over (partition by sessionid order by created_at) as prev_ca
from results r
) r
) r
group by sessionid, grp;
What this does is determine where a group starts, by looking at the previous created_at and seeing if it is more than 3 seconds earlier. If so, a group starts.
The cumulative sum of the group starts is a grouping identifier, which can be used for aggregation.
answered Nov 13 '18 at 22:13
Gordon LinoffGordon Linoff
766k35300402
Let me assume you get the result you specify somehow. Then you can use window functions:
with results as (
<whatever>
)
select sessionid, min(created_at), max(created_at), sum(events)
from (select r.*,
sum( (prev_ca < created_at - interval '3 second')::int ) over (partition by sessionid order by created_at rows between unbounded preceding and current row) as grp
from (select r.*,
lag(created_at) over (partition by sessionid order by created_at) as prev_ca
from results r
) r
) r
group by sessionid, grp;
What this does is determine where a group starts, by looking at the previous created_at and seeing if it is more than 3 seconds earlier. If so, a group starts.
The cumulative sum of the group starts is a grouping identifier, which can be used for aggregation.
answered Nov 13 '18 at 22:13
Gordon LinoffGordon Linoff
766k35300402
edited Nov 13 '18 at 22:34
answered Nov 13 '18 at 22:13
Gordon LinoffGordon Linoff
766k35300402
answered Nov 13 '18 at 22:13
Gordon LinoffGordon Linoff
766k35300402
answered Nov 13 '18 at 22:13
Gordon LinoffGordon Linoff
766k35300402
766k35300402
This query doesn't execute. It doesn't seem to use the tableresultsand the tableris used twice. I'm sorry but I'm a little confused.
– Patthebug
Nov 13 '18 at 22:20
@Patthebug . . . It now has thefromclause.
– Gordon Linoff
Nov 13 '18 at 22:21
I now get the following error:Invalid operation: Aggregate window functions with an ORDER BY clause require a frame clause;
– Patthebug
Nov 13 '18 at 22:23
@Patthebug . . . That is a peculiarity of Redshift SQL.
– Gordon Linoff
Nov 13 '18 at 22:34
add a comment |
This query doesn't execute. It doesn't seem to use the tableresultsand the tableris used twice. I'm sorry but I'm a little confused.
– Patthebug
Nov 13 '18 at 22:20
@Patthebug . . . It now has thefromclause.
– Gordon Linoff
Nov 13 '18 at 22:21
I now get the following error:Invalid operation: Aggregate window functions with an ORDER BY clause require a frame clause;
– Patthebug
Nov 13 '18 at 22:23
@Patthebug . . . That is a peculiarity of Redshift SQL.
– Gordon Linoff
Nov 13 '18 at 22:34
This query doesn't execute. It doesn't seem to use the table
results and the table r is used twice. I'm sorry but I'm a little confused.– Patthebug
Nov 13 '18 at 22:20
This query doesn't execute. It doesn't seem to use the table
results and the table r is used twice. I'm sorry but I'm a little confused.– Patthebug
Nov 13 '18 at 22:20
@Patthebug . . . It now has the
from clause.– Gordon Linoff
Nov 13 '18 at 22:21
@Patthebug . . . It now has the
from clause.– Gordon Linoff
Nov 13 '18 at 22:21
I now get the following error:
Invalid operation: Aggregate window functions with an ORDER BY clause require a frame clause;– Patthebug
Nov 13 '18 at 22:23
I now get the following error:
Invalid operation: Aggregate window functions with an ORDER BY clause require a frame clause;– Patthebug
Nov 13 '18 at 22:23
@Patthebug . . . That is a peculiarity of Redshift SQL.
– Gordon Linoff
Nov 13 '18 at 22:34
@Patthebug . . . That is a peculiarity of Redshift SQL.
– Gordon Linoff
Nov 13 '18 at 22:34
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I don't understand your query. You are not using table
b.– Gordon Linoff
Nov 13 '18 at 22:06
please remove postgresql tag
– Jon Scott
Nov 13 '18 at 22:57
I'm confused: 1. Do you want to assign the start of the three seconds based on the data OR follow a fixed pattern [0-3,3-6,6-9,...]. 2. Why are you joining t back to t when you are not using it? This is just asking for trouble!
– hibernado
Nov 14 '18 at 8:31