Show current row “win streak” Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)Using Row_Number to find consecutive row countReset password for 'postgres' on v9.3 (Win Srv)Group by maximum consecutive rowMerging adjacent date intervals into a single rowTrigger function using current row and current table name as variablesTrigger function using current row and current table name as variables (final part)Selecting row grouped by an “add-on” indicatorFilter on time difference between current and next rowPostgreSQL: mark current session as “unimportant”How to count max date row if current status column is 0 or 2?
Show current row "win streak"
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Show current row “win streak”
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)Using Row_Number to find consecutive row countReset password for 'postgres' on v9.3 (Win Srv)Group by maximum consecutive rowMerging adjacent date intervals into a single rowTrigger function using current row and current table name as variablesTrigger function using current row and current table name as variables (final part)Selecting row grouped by an “add-on” indicatorFilter on time difference between current and next rowPostgreSQL: mark current session as “unimportant”How to count max date row if current status column is 0 or 2?
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I need to show the running win/loss streak per row in a query, so given the table below, the query should return the "expected" column. I've tried some approaches with window functions, but no success.
create table matches (player text, dt date, is_winner boolean, expected integer )
insert into matches values
('A', '2019-01-01', TRUE, 0),
('A', '2019-01-03', TRUE, 1),
('A', '2019-01-04', TRUE, 2),
('A', '2019-01-09', FALSE, 0),
('A', '2019-01-10', FALSE, -1),
('A', '2019-01-15', TRUE, 0);
player dt is_winner expected
A 2019-01-01 true 0
A 2019-01-03 true 1
A 2019-01-04 true 2
A 2019-01-09 false 0
A 2019-01-10 false -1
A 2019-01-15 true 0
The logic is:
- Resets to 0 when winning after a loss, or losing after a win.
- Increments after a win, but not if it's case 1.
- Decrements after a loss, but not if it's case 1.
Any insights on how to tackle this are welcome. My last resort would be a function with a loop called by every row.
postgresql gaps-and-islands
New contributor
add a comment |
I need to show the running win/loss streak per row in a query, so given the table below, the query should return the "expected" column. I've tried some approaches with window functions, but no success.
create table matches (player text, dt date, is_winner boolean, expected integer )
insert into matches values
('A', '2019-01-01', TRUE, 0),
('A', '2019-01-03', TRUE, 1),
('A', '2019-01-04', TRUE, 2),
('A', '2019-01-09', FALSE, 0),
('A', '2019-01-10', FALSE, -1),
('A', '2019-01-15', TRUE, 0);
player dt is_winner expected
A 2019-01-01 true 0
A 2019-01-03 true 1
A 2019-01-04 true 2
A 2019-01-09 false 0
A 2019-01-10 false -1
A 2019-01-15 true 0
The logic is:
- Resets to 0 when winning after a loss, or losing after a win.
- Increments after a win, but not if it's case 1.
- Decrements after a loss, but not if it's case 1.
Any insights on how to tackle this are welcome. My last resort would be a function with a loop called by every row.
postgresql gaps-and-islands
New contributor
add a comment |
I need to show the running win/loss streak per row in a query, so given the table below, the query should return the "expected" column. I've tried some approaches with window functions, but no success.
create table matches (player text, dt date, is_winner boolean, expected integer )
insert into matches values
('A', '2019-01-01', TRUE, 0),
('A', '2019-01-03', TRUE, 1),
('A', '2019-01-04', TRUE, 2),
('A', '2019-01-09', FALSE, 0),
('A', '2019-01-10', FALSE, -1),
('A', '2019-01-15', TRUE, 0);
player dt is_winner expected
A 2019-01-01 true 0
A 2019-01-03 true 1
A 2019-01-04 true 2
A 2019-01-09 false 0
A 2019-01-10 false -1
A 2019-01-15 true 0
The logic is:
- Resets to 0 when winning after a loss, or losing after a win.
- Increments after a win, but not if it's case 1.
- Decrements after a loss, but not if it's case 1.
Any insights on how to tackle this are welcome. My last resort would be a function with a loop called by every row.
postgresql gaps-and-islands
New contributor
I need to show the running win/loss streak per row in a query, so given the table below, the query should return the "expected" column. I've tried some approaches with window functions, but no success.
create table matches (player text, dt date, is_winner boolean, expected integer )
insert into matches values
('A', '2019-01-01', TRUE, 0),
('A', '2019-01-03', TRUE, 1),
('A', '2019-01-04', TRUE, 2),
('A', '2019-01-09', FALSE, 0),
('A', '2019-01-10', FALSE, -1),
('A', '2019-01-15', TRUE, 0);
player dt is_winner expected
A 2019-01-01 true 0
A 2019-01-03 true 1
A 2019-01-04 true 2
A 2019-01-09 false 0
A 2019-01-10 false -1
A 2019-01-15 true 0
The logic is:
- Resets to 0 when winning after a loss, or losing after a win.
- Increments after a win, but not if it's case 1.
- Decrements after a loss, but not if it's case 1.
Any insights on how to tackle this are welcome. My last resort would be a function with a loop called by every row.
postgresql gaps-and-islands
postgresql gaps-and-islands
New contributor
New contributor
edited 4 hours ago
Paul White♦
54.3k14288461
54.3k14288461
New contributor
asked 11 hours ago
codigofontescodigofontes
183
183
New contributor
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add a comment |
add a comment |
1 Answer
1
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votes
I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.
It's pretty much self-documenting with the CTE names, to be honest.
with lags as (
select player,
dt,
is_winner,
lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
expected
from matches
),
group_changes as (
select lags.*,
case
when prev_is_winner <> is_winner or prev_is_winner is null
then 1
else 0
end as is_new_group
from lags
),
groups_numbered as (
select *,
sum(is_new_group)
over (partition by player order by dt, is_winner desc) as streak_group
from group_changes
),
expected_in_groups as (
select groups_numbered.*,
row_number()
over (partition by player,streak_group
order by dt asc, streak_group asc) - 1 as expected_unsigned
from groups_numbered
)
select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
from expected_in_groups
order by player asc, dt asc;
DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)
Basically:
lags
CTE: useLAG()
to get the previous result relative to the current row.group_changes
CTE: Detect whether the previous streak, whether win or loss, has endedgroups_numbered
CTE: Give each streak a numberexpected_in_groups
CTE: Number the rows in the group- Final
select
: negate the loss streaks
.
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
| A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
| A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
| A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
| A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
| A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
| A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.
It's pretty much self-documenting with the CTE names, to be honest.
with lags as (
select player,
dt,
is_winner,
lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
expected
from matches
),
group_changes as (
select lags.*,
case
when prev_is_winner <> is_winner or prev_is_winner is null
then 1
else 0
end as is_new_group
from lags
),
groups_numbered as (
select *,
sum(is_new_group)
over (partition by player order by dt, is_winner desc) as streak_group
from group_changes
),
expected_in_groups as (
select groups_numbered.*,
row_number()
over (partition by player,streak_group
order by dt asc, streak_group asc) - 1 as expected_unsigned
from groups_numbered
)
select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
from expected_in_groups
order by player asc, dt asc;
DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)
Basically:
lags
CTE: useLAG()
to get the previous result relative to the current row.group_changes
CTE: Detect whether the previous streak, whether win or loss, has endedgroups_numbered
CTE: Give each streak a numberexpected_in_groups
CTE: Number the rows in the group- Final
select
: negate the loss streaks
.
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
| A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
| A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
| A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
| A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
| A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
| A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
add a comment |
I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.
It's pretty much self-documenting with the CTE names, to be honest.
with lags as (
select player,
dt,
is_winner,
lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
expected
from matches
),
group_changes as (
select lags.*,
case
when prev_is_winner <> is_winner or prev_is_winner is null
then 1
else 0
end as is_new_group
from lags
),
groups_numbered as (
select *,
sum(is_new_group)
over (partition by player order by dt, is_winner desc) as streak_group
from group_changes
),
expected_in_groups as (
select groups_numbered.*,
row_number()
over (partition by player,streak_group
order by dt asc, streak_group asc) - 1 as expected_unsigned
from groups_numbered
)
select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
from expected_in_groups
order by player asc, dt asc;
DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)
Basically:
lags
CTE: useLAG()
to get the previous result relative to the current row.group_changes
CTE: Detect whether the previous streak, whether win or loss, has endedgroups_numbered
CTE: Give each streak a numberexpected_in_groups
CTE: Number the rows in the group- Final
select
: negate the loss streaks
.
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
| A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
| A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
| A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
| A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
| A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
| A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
add a comment |
I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.
It's pretty much self-documenting with the CTE names, to be honest.
with lags as (
select player,
dt,
is_winner,
lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
expected
from matches
),
group_changes as (
select lags.*,
case
when prev_is_winner <> is_winner or prev_is_winner is null
then 1
else 0
end as is_new_group
from lags
),
groups_numbered as (
select *,
sum(is_new_group)
over (partition by player order by dt, is_winner desc) as streak_group
from group_changes
),
expected_in_groups as (
select groups_numbered.*,
row_number()
over (partition by player,streak_group
order by dt asc, streak_group asc) - 1 as expected_unsigned
from groups_numbered
)
select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
from expected_in_groups
order by player asc, dt asc;
DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)
Basically:
lags
CTE: useLAG()
to get the previous result relative to the current row.group_changes
CTE: Detect whether the previous streak, whether win or loss, has endedgroups_numbered
CTE: Give each streak a numberexpected_in_groups
CTE: Number the rows in the group- Final
select
: negate the loss streaks
.
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
| A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
| A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
| A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
| A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
| A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
| A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
I've done this in stages using CTEs so that you can see how it's done as the queries progress. Each CTE adds a column in the output in order to show you progress.
It's pretty much self-documenting with the CTE names, to be honest.
with lags as (
select player,
dt,
is_winner,
lag(is_winner) OVER (partition by player ORDER BY dt ASC) as prev_is_winner,
expected
from matches
),
group_changes as (
select lags.*,
case
when prev_is_winner <> is_winner or prev_is_winner is null
then 1
else 0
end as is_new_group
from lags
),
groups_numbered as (
select *,
sum(is_new_group)
over (partition by player order by dt, is_winner desc) as streak_group
from group_changes
),
expected_in_groups as (
select groups_numbered.*,
row_number()
over (partition by player,streak_group
order by dt asc, streak_group asc) - 1 as expected_unsigned
from groups_numbered
)
select expected_in_groups.*, case when is_winner = 't' then expected_unsigned else expected_unsigned * -1 end as actual
from expected_in_groups
order by player asc, dt asc;
DB Fiddle Link (I added an extra row just to make sure it was working at a certain point)
Basically:
lags
CTE: useLAG()
to get the previous result relative to the current row.group_changes
CTE: Detect whether the previous streak, whether win or loss, has endedgroups_numbered
CTE: Give each streak a numberexpected_in_groups
CTE: Number the rows in the group- Final
select
: negate the loss streaks
.
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| player | dt | is_winner | prev_is_winner | expected | is_new_group | streak_group | expected_unsigned | actual |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
| A | 2019-01-01 | t | | 0 | 1 | 1 | 0 | 0 |
| A | 2019-01-03 | t | t | 1 | 0 | 1 | 1 | 1 |
| A | 2019-01-04 | t | t | 2 | 0 | 1 | 2 | 2 |
| A | 2019-01-09 | f | t | 0 | 1 | 2 | 0 | 0 |
| A | 2019-01-10 | f | f | -1 | 0 | 2 | 1 | -1 |
| A | 2019-01-11 | f | f | -2 | 0 | 2 | 2 | -2 |
| A | 2019-01-15 | t | f | 0 | 1 | 3 | 0 | 0 |
+--------+------------+-----------+----------------+----------+--------------+--------------+-------------------+--------+
edited 9 hours ago
answered 9 hours ago
PhilᵀᴹPhilᵀᴹ
25.9k65691
25.9k65691
add a comment |
add a comment |
codigofontes is a new contributor. Be nice, and check out our Code of Conduct.
codigofontes is a new contributor. Be nice, and check out our Code of Conduct.
codigofontes is a new contributor. Be nice, and check out our Code of Conduct.
codigofontes is a new contributor. Be nice, and check out our Code of Conduct.
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