Below is my data:
My requirement is to get the first 3 consecutive approvals. So from above data, ID 4, 5 and 6 are the rows that I need to select. ID 1 and 2 are not eligible, because ID 3 is a rejection and hence breaks the consecutive condition of actions. Basically, I am looking for the last rejection in the list and then finding the 3 consecutive approvals after that.
Also, if there are no rejections in the chain of actions then the first 3 actions should be the result. For below data:
So my output should be ID 11, 12 and 13.
And if there are less than 3 approvals, then the output should be the list of approvals. For below data:
output should be ID 21 and 22.
Is there any way to achieve this with SQL query only - i.e. no PL-SQL code?
Here is one method that uses window functions:
Find the first row where there are three approvals.
Find the minimum action_at among the rows with three approvals
Filter
Keep the three rows you want
This version uses fetch which is in Oracle 12+:
select t.*
from (select t.*,
min(case when has_approval_3 = 3 then action_at end) over () as first_action_at
from (select t.*,
sum(case when action = 'APPROVAL' then 1 else 0 end) over (order by action_at rows between current row and 2 following) as has_approval_3
from t
) t
) t
where action = 'APPROVAL' and
(action_at >= first_action_at or first_action_at is null)
order by action_at
fetch first 3 rows only;
You can use IN and ROW_NUMBER analytical function as following:
SELECT * FROM
( SELECT
T.*,
ROW_NUMBER() OVER(ORDER BY Y.ACTION_AT) AS RN
FROM YOUR_TABLE Y
WHERE Y.ACTION = 'APPROVE'
AND Y.ACTION_AT >= COALESCE(
(SELECT MAX(YIN.ACTION_AT)
FROM YOUR_TABLE YIN
WHERE YIN.ACTION = 'REJECT'
), Y.ACTION_AT) )
WHERE RN <= 3;
Cheers!!
Related
How to repeat rows based on column value in snowflake using sql.
I tried a few methods but not working such as dual and connect by.
I have two columns: Id and Quantity.
For each ID, there are different values of Quantity.
So if you have a count, you can use a generator:
with ten_rows as (
select row_number() over (order by null) as rn
from table(generator(ROWCOUNT=>10))
), data(id, count) as (
select * from values
(1,2),
(2,4)
)
SELECT
d.*
,r.rn
from data as d
join ten_rows as r
on d.count >= r.rn
order by 1,3;
ID
COUNT
RN
1
2
1
1
2
2
2
4
1
2
4
2
2
4
3
2
4
4
Ok let's start by generating some data. We will create 10 rows, with a QTY. The QTY will be randomly chosen as 1 or 2.
Next we want to duplicate the rows with a QTY of 2 and leave the QTY =1 as they are.
Obviously you can change all parameters above to suit your needs - this solution works super fast and in my opinion way better than table generation.
Simply stack SPLIT_TO_TABLE(), REPEAT() with a LATERAL() join and voila.
WITH TEN_ROWS AS (SELECT ROW_NUMBER()OVER(ORDER BY NULL)SOME_ID,UNIFORM(1,2,RANDOM())QTY FROM TABLE(GENERATOR(ROWCOUNT=>10)))
SELECT
TEN_ROWS.*
FROM
TEN_ROWS,LATERAL SPLIT_TO_TABLE(REPEAT('hire me $10/hour',QTY-1),'hire me $10/hour')ALTERNATIVE_APPROACH;
I do have the following table (just a sample) and would like to get the Points subtract from Record2 to Record1. (Record2-Record1) from the latest record of both record1 and 2. The records are entered in category of Match. 1 Match will consists of 2 records which are Record 1 and Record 2.
The output will be 3 as the newest record is ID 3 and 4 from the Match2.)
ID
Name
Points
TimeRecorded
Match
1
Record 1
3
2-Mar 2pm
1
2
Record 2
5
2-Mar 2pm
1
3
Record 1
5
4-Mar 5pm
2
4
Record 2
8
4-Mar 5pm
2
I tried to get the value of subtracting both query as below. But I feel that this is not the good way as it is hard coded for the match and the Name of the record. May I know how to construct a better query in order to get the latest record of the grouped match and calculate the points whereby subtracting Record1 from Record2.
SELECT
(select Points from RunRecord where Name= 'Record2' AND Match = 2)
- (select Points from RunRecord where Name= 'Record1' AND Match = 2)
You could use:
WITH cte AS (
SELECT *, ROW_NUMBER() OVER (PARTITION BY Name ORDER BY TimeRecorded DESC) rn
FROM yourTable
)
SELECT
MAX(CASE WHEN Name = 'Record 2' THEN Points END) -
MAX(CASE WHEN Name = 'Record 1' THEN Points END) AS diff
FROM cte
WHERE rn = 1;
The CTE assigns a row number for each group of records of the same name, with 1 being assigned to the most recent record. Then, we aggregate over the entire table and pivot out the points to find the difference.
You can use the rank() window function to rank the records by match descending. Then take the top of the ranked records and use conditional aggregation to control the sign of the points added.
SELECT sum(CASE x.name
WHEN 'Record2' THEN
x.points
WHEN 'Record1' THEN
-x.points
END)
FROM (SELECT rr.name,
rr.points,
rank() OVER (ORDER BY rr.match DESC) r
FROM runrecord rr
WHERE name IN ('Record1',
'Record2')) x
WHERE x.r = 1;
I need to count the number of rows that fulfill certain conditions contained in intervals defined by other rows that fulfill other conditions. Examples: the number of rows N between 'Reference' having values 1 and 4 that fulfill the condition 'Other_condition' = b is N=1, the number of rows N between 'Reference' having values 2 and 5 that fulfill the condition 'Other_condition' = b is N=2 etc.
Date Reference Other_condition
20171111 1 a
20171112 2 a
20171113 3 b
20171114 4 b
20171115 5 b
I'm accessing the database through Hive/Impala SQL queries and unfortunately I have no idea where to start implementing such a window function. A half-pseudocode version of what I want would be something like:
SELECT COUNT (DISTINCT database.Date) AS counter, Other_condition, reference
FROM database
WHERE database.Other_condition = a AND database.Reference BETWEEN
(window function condition 1: database.Reference = 2) AND
(window function condition 2: database.Reference = 5)
GROUP BY counter
Your question is rather hard to follow. I get the first conditions, which is the number of rows between "1" and "4".
Here is one method that should be pretty easy to generalize:
select (max(case when reference = 4 then seqnum end) -
max(case when reference = 1 then seqnum end)
) as num_rows_1_4
from (select t.*,
row_number() over (order by date) as seqnum
from t
) t;
I am planing an SQL Statement right now and would need someone to look over my thougts.
This is my Table:
id stat period
--- ------- --------
1 10 1/1/2008
2 25 2/1/2008
3 5 3/1/2008
4 15 4/1/2008
5 30 5/1/2008
6 9 6/1/2008
7 22 7/1/2008
8 29 8/1/2008
Create Table
CREATE TABLE tbstats
(
id INT IDENTITY(1, 1) PRIMARY KEY,
stat INT NOT NULL,
period DATETIME NOT NULL
)
go
INSERT INTO tbstats
(stat,period)
SELECT 10,CONVERT(DATETIME, '20080101')
UNION ALL
SELECT 25,CONVERT(DATETIME, '20080102')
UNION ALL
SELECT 5,CONVERT(DATETIME, '20080103')
UNION ALL
SELECT 15,CONVERT(DATETIME, '20080104')
UNION ALL
SELECT 30,CONVERT(DATETIME, '20080105')
UNION ALL
SELECT 9,CONVERT(DATETIME, '20080106')
UNION ALL
SELECT 22,CONVERT(DATETIME, '20080107')
UNION ALL
SELECT 29,CONVERT(DATETIME, '20080108')
go
I want to calculate the difference between each statistic and the next, and then calculate the mean value of the 'gaps.'
Thougts:
I need to join each record with it's subsequent row. I can do that using the ever flexible joining syntax, thanks to the fact that I know the id field is an integer sequence with no gaps.
By aliasing the table I could incorporate it into the SQL query twice, then join them together in a staggered fashion by adding 1 to the id of the first aliased table. The first record in the table has an id of 1. 1 + 1 = 2 so it should join on the row with id of 2 in the second aliased table. And so on.
Now I would simply subtract one from the other.
Then I would use the ABS function to ensure that I always get positive integers as a result of the subtraction regardless of which side of the expression is the higher figure.
Is there an easier way to achieve what I want?
The lead analytic function should do the trick:
SELECT period, stat, stat - LEAD(stat) OVER (ORDER BY period) AS gap
FROM tbstats
The average value of the gaps can be done by calculating the difference between the first value and the last value and dividing by one less than the number of elements:
select sum(case when seqnum = num then stat else - stat end) / (max(num) - 1);
from (select period, row_number() over (order by period) as seqnum,
count(*) over () as num
from tbstats
) t
where seqnum = num or seqnum = 1;
Of course, you can also do the calculation using lead(), but this will also work in SQL Server 2005 and 2008.
By using Join also you achieve this
SELECT t1.period,
t1.stat,
t1.stat - t2.stat gap
FROM #tbstats t1
LEFT JOIN #tbstats t2
ON t1.id + 1 = t2.id
To calculate the difference between each statistic and the next, LEAD() and LAG() may be the simplest option. You provide an ORDER BY, and LEAD(something) returns the next something and LAG(something) returns the previous something in the given order.
select
x.id thisStatId,
LAG(x.id) OVER (ORDER BY x.id) lastStatId,
x.stat thisStatValue,
LAG(x.stat) OVER (ORDER BY x.id) lastStatValue,
x.stat - LAG(x.stat) OVER (ORDER BY x.id) diff
from tbStats x
I have this
SQL Fiddle
When ordered by the sequence_number field, these records need to be grouped and given a row_number based on the following logic:
All records for which the following line type is not a 0 is part of the same group.
Example, from the provided SQL fiddle,
sequence numbers 0,1 and 2 are part of the same group, and sequence numbers 3 and 4 are part of another group. Basically, any rows up to a 0 line type are part of a single group. The data I am trying to return will look like:
GROUP LINE_TYPE SEQUENCE_NUMBER PRODUCT
------------------------------------------------
1 0 0 REM322
1 6 1 Discount
1 7 2 Loyalty Discount
2 0 3 RGM32
2 6 4 Discount
Another way to re-word what I am after is that when ordered by the sequence number, the group number will change when it hit's a 0.
I've been racking my brain trying to think how to do this using partitions/lags and even self joins but am having trouble.
Any help appreciated.
Set the column value to 1 if line_type is 0 and then calculate the running sum(using SUM as analytical function) over this.
select sum(case when line_type = 0 then 1
else 0 end
) over (order by sequence_number) as grp,
line_type,
sequence_number,
product
from ret_trand
order by sequence_number;
Demo.
Another way of doing the grouping is using a hierarchical query and CONNECT_BY_ROOT:
SELECT CONNECT_BY_ROOT sequence_number AS first_in_sequence,
line_type,
sequence_number,
product
FROM ret_trand
START WITH
line_type = 0
CONNECT BY
( sequence_number - 1 = PRIOR sequence_number
AND line_type <> 0)
ORDER SIBLINGS BY
sequence_number;
SQLFIDDLE
This will identify the groups by the initial sequence number of the group.
If you want to change this to a sequential ranking for the groups then you can use DENSE_RANK to do this:
WITH first_in_sequences AS
(
SELECT CONNECT_BY_ROOT sequence_number AS first_in_sequence,
line_type,
sequence_number,
product
FROM ret_trand
START WITH
line_type = 0
CONNECT BY
( sequence_number - 1 = PRIOR sequence_number
AND line_type <> 0)
ORDER SIBLINGS BY
sequence_number
)
SELECT DENSE_RANK() OVER ( ORDER BY first_in_sequence ) AS "group",
line_type,
sequence_number,
product
FROM first_in_sequences;
SQLFIDDLE