The following is an example of what I have to work with.
Sample data :
ID RANK
---------
1 2
1 3
2 4
2 1
3 2
2 3
4 2
SQLFiddle
I am trying to combine the rows with like IDs and sum the RANKs for these IDs into a single row:
ID SUM(rank)
1 5
2 8
3 2
4 2
You can use sum aggregate function together with the group by clause:
select [ID]
, sum([RANK])
from [STUFF]
group by [ID]
SQLFiddle
Related
I seek to find the maximum timestamp (ob.create_ts) for each group of marketid's (ob.marketid), joining tables obe (ob.orderbookid = obe.orderbookid) and market (ob.marketid = m.marketid). Although there are a number of solutions posted like this for a single table, when I join multiple tables, I get redundant results. Sample table and desired results below:
table: ob
orderbookid
marketid
create_ts
1
1
1664635255298
2
1
1664635255299
3
1
1664635255300
4
2
1664635255301
5
2
1664635255302
6
2
1664635255303
table: obe
orderbookentryid
orderbookid
entryname
1
1
'entry-1'
2
1
'entry-2'
3
1
'entry-3'
4
2
'entry-4'
5
2
'entry-5'
6
3
'entry-6'
7
3
'entry-7'
8
4
'entry-8'
9
5
'entry-9'
10
6
'entry-10'
table: m
marketid
marketname
1
'market-1'
2
'market-2'
desired results
ob.orderbookid
ob.marketid
obe.orderbookentryid
obe.entryname
m.marketname
3
1
6
'entry-6'
'market-1'
3
1
7
'entry-7'
'market-1'
6
2
10
'entry-10'
'market-2'
Use ROW_NUMBER() to get a properly filtered ob table. Then JOIN the other tables onto that!
WITH
ob_filtered AS (
SELECT
orderbookid,
marketid
FROM
(
SELECT
*,
ROW_NUMBER() OVER (
PARTITION BY
marketid
ORDER BY
create_ts DESC
) AS create_ts_rownumber
FROM
ob
) ob_with_rownumber
WHERE
create_ts_rownumber = 1
)
SELECT
ob_filtered.orderbookid,
ob_filtered.marketid,
obe.orderbookentryid,
obe.entryname,
m.marketname
FROM
ob_filtered
JOIN m
ON m.marketid = ob_filtered.marketid
JOIN obe
ON ob_filtered.orderbookid = obe.orderbookid
;
There is a table with values as below,
Id Value
1 1
2 1
3 2
4 2
5 3
6 4
7 4
now need to write a query to retrieve value from the table and output should look as
ID Value
1 1
3 2
5 3
6 4
any suggestion ?
The query you want is nothing to do with being distinct, it's a simple aggregation of value with the minimum ID for each:
select Min(id) Id, value
from table
group by value
I have a table like the one below:
ID
RID
Count
1
1
1
2
1
3
3
1
5
4
1
1
5
2
1
6
2
6
7
2
3
8
2
2
9
2
4
I am trying to retrieve the rows of each RID until the rolling sum of Count is ≤ 10.
In this example I need all rows of RID = 1 and only rows 1, 2 and 3 of RID = 2.
Expected answer:
ID
RID
Count
Sum_Count
1
1
1
NULL
2
1
3
4
3
1
5
9
4
1
1
10
5
2
1
NULL
6
2
6
7
7
2
3
10
I tried with ROWNUM, inner query, etc. but nothing worked out.
Can someone please point me in the right direction?
You need to use a cumulative sum of Count by RID and then select all rows where the cumulative count is less than or equal to 10.
Try this:
select
*
from
(
select
ID,
RID,
COUNT,
sum(COUNT) over (partition by RID order by ID) as cum_count
from
my_table
)
where
cum_count <= 10
my table include only two columns, My purpose ranking no columns and add to new column
no foto
1 foto1
1 foto2
2 foto3
2 foto4
2 foto5
3 foto6
3 foto7
I want to do like below table
no foto newcolomn
1 foto1 1
1 foto2 2
2 foto3 1
2 foto4 2
2 foto5 3
3 foto6 1
3 foto7 2
You can use row_number():
select no, foto, row_number() over(partition by no order by foto) newcolumn
from mytable
i have a table like this:
ID var_1 var_2 Var_3 .....Var_n
1 1 1 2 3
2 4 5 6 8
3 2 5 5 5
i tried
Select *, sum(week_1_week_2+…+week_n)/n.0 from table group by ID;
is there any fast way to do it ??
The sum() and group by do not seem appropriate:
Select t.*, (week_1_week_2+…+week_n)/n.0
from table t;