I have a table like this
Event ID | Contract ID | Event date | Amount |
----------------------------------------------
1 | 1 | 2009-01-01 | 100 |
2 | 1 | 2009-01-02 | 20 |
3 | 1 | 2009-01-03 | 50 |
4 | 2 | 2009-01-01 | 80 |
5 | 2 | 2009-01-04 | 30 |
For each contract I need to fetch the latest event and amount associated with the event and get something like this
Event ID | Contract ID | Event date | Amount |
----------------------------------------------
3 | 1 | 2009-01-03 | 50 |
5 | 2 | 2009-01-04 | 30 |
I can't figure out how to group the data correctly. Any ideas?
Thanks in advance.
SQL 2k5/2k8:
with cte_ranked as (
select *
, row_number() over (
partition by ContractId order by EvantDate desc) as [rank]
from [table])
select *
from cte_ranked
where [rank] = 1;
SQL 2k:
select t.*
from table as t
join (
select max(EventDate) as MaxDate
, ContractId
from table
group by ContractId) as mt
on t.ContractId = mt.ContractId
and t.EventDate = mt.MaxDate
Related
I'm working on a problem where I need to check if an ID exists in any previous records within another ID set, and create a tag if it does.
Suppose I have the following table
| client_id | order_date | supplier_id |
| 1 | 2022-01-01 | 1 |
| 1 | 2022-02-01 | 2 |
| 1 | 2022-03-01 | 1 |
| 1 | 2022-04-01 | 3 |
| 2 | 2022-05-01 | 1 |
| 2 | 2022-06-01 | 1 |
| 2 | 2022-07-01 | 2 |
And I want to create a column with a "is new supplier" tag (for each client):
| client_id | order_date | supplier_id | is_new_supplier|
| 1 | 2022-01-01 | 1 | True
| 1 | 2022-02-01 | 2 | True
| 1 | 2022-03-01 | 1 | False
| 1 | 2022-04-01 | 3 | True
| 2 | 2022-05-01 | 1 | True
| 2 | 2022-06-01 | 1 | False
| 2 | 2022-07-01 | 2 | True
First I tried doing this by creating a dense_rank and filtering out repeated ranks, but it didn't work:
with aux as (SELECT client_id,
order_date,
supplier_id
FROM table)
SELECT *, dense_rank() over (
partition by client_id
order by supplier_id
) as _dense_rank
FROM aux
Another way I thought about doing this, is by creating an auxiliary id with client_id + supplier_id, ordering by date and checking if the aux id exists in any previous row, but I don't know how to do this in SQL.
You are on the right track.
Instead of dense_rank, you can just use row_number and on your partition by add supplier id..
Don't forget to order by order_date
with aux as (SELECT client_id,
order_date,
supplier_id,
row_number() over (
partition by client_id, supplier_id
order by order_date
) as rank
FROM table)
SELECT client_id,
order_date,
supplier_id,
rank,
(rank = 1) as is_new_supplier
FROM aux
I have a table person_updates in postgresql with rows like:
| id | status | person_id | modified_at |
|----|--------|-----------|------------------|
| 1 | INFO | 2 | 2019-11-01 10:00 |
| 1 | UPDATE | 2 | 2019-11-02 15:00 |
| 1 | DEBUG | 2 | 2019-11-03 12:00 |
| 3 | INFO | 4 | 2019-11-04 14:00 |
| 3 | UPDATE | 4 | 2019-11-05 16:00 |
| 5 | INFO | 6 | 2019-11-06 08:00 |
| 5 | DEBUG | 6 | 2019-11-07 07:00 |
I want to get the INFO rows that are followed by an UPDATE row:
| id | status | person_id | modified_at |
|----|--------|-----------|------------------|
| 1 | INFO | 2 | 2019-11-01 10:00 |
| 3 | INFO | 4 | 2019-11-04 14:00 |
I've attempted this by doing a lead query
select d2.id, d2.status, d2.modified_at, d2.person_id,
lead(d2.status) over (partition by d2.id order by d2.modified_at) as next_status
from person_updates d2
where d2.status = 'INFO'
This returns more rows than I want. Adding a and d2.next_status = 'UPDATE' throws an error. How do I do this query?
Like this:
select t.id, t.status, t.modified_at, t.person_id
from (
select *,
lead(status) over (partition by id order by modified_at) as next_status
from person_updates
) t
where t.status = 'INFO' and t.next_status = 'UPDATE'
See the demo.
Results:
| id | status | modified_at | person_id |
| --- | ------ | ------------------------ | --------- |
| 1 | INFO | 2019-11-01T10:00:00.000Z | 2 |
| 3 | INFO | 2019-11-04T14:00:00.000Z | 4 |
You can use window function lead() to get the status of the next record. Since window functions are not allowed in the where clause, you need to turn the query to a subquery, and then filter in the outer query, like so:
select *
from (
select
t.*,
lead(status) over(partition by id order by modified_at) lead_status
from person_updates t
) t
where status = 'INFO' and lead_status = 'UPDATE'
i use psql v.10.5
and i have a structure table like this :
| date | total |
-------------------------
| 01-01-2018 | 50 |
| 05-01-2018 | 90 |
| 30-01-2018 | 20 |
how to get recap data by month, but the data showed straight 30 days, i want the data showed like this :
| date | total |
-------------------------
| 01-01-2018 | 50 |
| 02-01-2018 | 0 |
| 03-01-2018 | 0 |
| 04-01-2018 | 0 |
| 05-01-2018 | 90 |
.....
| 29-01-2018 | 0 |
| 30-01-2018 | 20 |
i've tried this query :
SELECT * FROM date
WHERE EXTRACT(month FROM "date") = 1 // dynamically
AND EXTRACT(year FROM "date") = 2018 // dynamically
but the result is not what i expected. also the params of month and date i create dynamically.
any help will be appreciated
Use the function generate_series(start, stop, step interval), e.g.:
select d::date, coalesce(total, 0) as total
from generate_series('2018-01-01', '2018-01-31', '1 day'::interval) d
left join my_table t on d::date = t.date
Working example in rextester.
I want to find how many times each player has max score based on created_at.
In below table.
player_id 1 has two times max score on date 12 and 13.
player_id 2 has one time max score on date 14.
So i want to check it for player_id = 1. how many time this player get max score.
+-----------+-------+-------------+------------+
| player_id | score | sector | created_at |
+-----------+-------+-------------+------------+
| 1 | 25 | Midfielder | 2017-12-12 |
| 2 | 23 | Defender | 2017-12-12 |
| 3 | 24 | Goalkeeper | 2017-12-12 |
| 4 | 20 | Midfielder | 2017-12-12 |
| 1 | 26 | Midfielder | 2017-12-13 |
| 2 | 20 | Defender | 2017-12-13 |
| 3 | 19 | Goalkeeper | 2017-12-13 |
| 4 | 16 | Midfielder | 2017-12-13 |
| 1 | 18 | Midfielder | 2017-12-14 |
| 2 | 20 | Defender | 2017-12-14 |
| 3 | 12 | Goalkeeper | 2017-12-14 |
+-----------+-------+-------------+------------+
You can use the following code,
SELECT PLAYER_ID, COUNT(*) MAX_SCORE_COUNT
FROM
(
SELECT player_id PLAYER_ID FROM YOUR_TABLE_NAME a
WHERE a.score = ( SELECT MAX(b.score) FROM YOUR_TABLE_NAME b WHERE b.created_at = a.created_at)
) s
GROUP BY PLAYER_ID
This query return number of times each player got max score based on created_at.
If you want to check it for player_id = 1 then you can use,
SELECT PLAYER_ID, COUNT(*) MAX_SCORE_COUNT
FROM
(
SELECT player_id PLAYER_ID FROM YOUR_TABLE_NAME a
WHERE a.score = ( SELECT MAX(b.score) FROM YOUR_TABLE_NAME b WHERE b.created_at = a.created_at)
) s
WHERE PLAYER_ID = 1
GROUP BY PLAYER_ID
I have this table named Samples. The Date column values are just symbolic date values.
+----+------------+-------+------+
| Id | Product_Id | Price | Date |
+----+------------+-------+------+
| 1 | 1 | 100 | 1 |
| 2 | 2 | 100 | 2 |
| 3 | 3 | 100 | 3 |
| 4 | 1 | 100 | 4 |
| 5 | 2 | 100 | 5 |
| 6 | 3 | 100 | 6 |
...
+----+------------+-------+------+
I want to group by product_id such that I have the 1'th sample in descending date order and a new colomn added with the Price of the 7'th sample row in each product group. If the 7'th row does not exist, then the value should be null.
Example:
+----+------------+-------+------+----------+
| Id | Product_Id | Price | Date | 7thPrice |
+----+------------+-------+------+----------+
| 4 | 1 | 100 | 4 | 120 |
| 5 | 2 | 100 | 5 | 100 |
| 6 | 3 | 100 | 6 | NULL |
+----+------------+-------+------+----------+
I belive I can achieve the table without the '7thPrice' with the following
SELECT * FROM (
SELECT ROW_NUMBER() OVER (PARTITION BY Product_Id ORDER BY date DESC) r, * FROM Samples
) T WHERE T.r = 1
Any suggestions?
You can try something like this. I used your query to create a CTE. Then joined rank1 to rank7.
;with sampleCTE
as
(SELECT ROW_NUMBER() OVER (PARTITION BY Product_Id ORDER BY date DESC) r, * FROM Samples)
select *
from
(select * from samplecte where r = 1) a
left join
(select * from samplecte where r=7) b
on a.product_id = b.product_id