I have a base table where I need to calculate the difference between two dates based on the type of the entry.
tblA
+----------+------------+---------------+--------------+
| TypeCode | Log_Date | Complete_Date | Pending_Date |
+----------+------------+---------------+--------------+
| 1 | 18/04/2016 | 19/04/2016 | |
| 2 | 10/04/2016 | 18/04/2016 | 15/04/2016 |
| 3 | 12/04/2016 | 19/04/2016 | |
| 4 | 15/04/2016 | 17/04/2016 | 16/04/2016 |
| 5 | 16/04/2016 | 21/04/2016 | |
| 1 | 19/04/2016 | 20/04/2016 | |
| 2 | 20/03/2016 | 31/03/2015 | |
| 3 | 25/03/2016 | 28/03/2016 | |
| 4 | 26/03/2016 | 27/03/2016 | |
| 5 | 27/03/2016 | 30/03/2016 | |
+----------+------------+---------------+--------------+
I have another look up table which has the column names to be considered based on the TypeCode.
tblB
+----------+----------+---------------+
| TypeCode | DateCol1 | DateCol2 |
+----------+----------+---------------+
| 1 | Log_Date | Complete_Date |
| 2 | Log_Date | Pending_Date |
| 3 | Log_Date | Complete_Date |
| 4 | Log_Date | Pending_Date |
| 5 | Log_Date | Complete_Date |
+----------+----------+---------------+
I am doing a simple DATEDIFF between two dates for my calculation. However I want to lookup which columns to consider for this calculation from tblB and apply it on tblA based on the TypeCode.
Resulting table:
For example: When the TypeCode is 2 or 4 then the calculation should be DATEDIFF(d, Log_Date, Pending_Date), otherwise DATEDIFF(d, Log_Date, Complete_Date)
+----------+------------+---------------+--------------+----------+
| TypeCode | Log_Date | Complete_Date | Pending_Date | Cal_Days |
+----------+------------+---------------+--------------+----------+
| 1 | 18/04/2016 | 19/04/2016 | | 1 |
| 2 | 10/04/2016 | 18/04/2016 | 15/04/2016 | 5 |
| 3 | 12/04/2016 | 19/04/2016 | | 7 |
| 4 | 15/04/2016 | 17/04/2016 | 16/04/2016 | 1 |
| 5 | 16/04/2016 | 21/04/2016 | | 5 |
| 1 | 19/04/2016 | 20/04/2016 | | 1 |
| 2 | 20/03/2016 | 31/03/2015 | | |
| 3 | 25/03/2016 | 28/03/2016 | | 3 |
| 4 | 26/03/2016 | 27/03/2016 | | |
| 5 | 27/03/2016 | 30/03/2016 | | 3 |
+----------+------------+---------------+--------------+----------+
Any help would be appreciated. Thanks.
Use JOIN with CASE expression:
SELECT
a.*,
Cal_Days =
DATEDIFF(
DAY,
CASE
WHEN b.DateCol1 = 'Log_Date' THEN a.Log_Date
WHEN b.DateCol1 = 'Complete_Date' THEN a.Complete_Date
ELSE a.Pending_Date
END,
CASE
WHEN b.DateCol2 = 'Log_Date' THEN a.Log_Date
WHEN b.DateCol2 = 'Complete_Date' THEN a.Complete_Date
ELSE a.Pending_Date
END
)
FROM TblA a
INNER JOIN TblB b
ON b.TypeCode = a.TypeCode
Related
+-------------+-----------------+-----------------+--------------------+------------+-------------------------+--------------+---------+
| customer_id | row_num_booking | row_num_service | row_num_perservice | dense_rank | created_at | service_type | id |
+-------------+-----------------+-----------------+--------------------+------------+-------------------------+--------------+---------+
| 1244180 | 1 | 4 | 1 | 1 | 2020-11-23T13:28:02.163 | moving | 2778630 |
| 1244180 | 2 | 3 | 1 | 1 | 2020-11-24T10:48:51.994 | appclean | 2781335 |
| 1244180 | 3 | 1 | 1 | 1 | 2020-11-24T14:50:17.648 | homeclean | 2782760 |
| 1244180 | 4 | 1 | 2 | 2 | 2020-12-07T14:15:33.849 | homeclean | 2822332 |
+-------------+-----------------+-----------------+--------------------+------------+-------------------------+--------------+---------+
but I expexted to be like this:
+-------------+-----------------+-----------------+--------------------+------------+-------------------------+--------------+---------+
| customer_id | row_num_booking | row_num_service | row_num_perservice | dense_rank | created_at | service_type | id |
+-------------+-----------------+-----------------+--------------------+------------+-------------------------+--------------+---------+
| 1244180 | 1 | 4 | 1 | 1 | 2020-11-23T13:28:02.163 | mv | 2778630 |
| 1244180 | 2 | 3 | 1 | 2 | 2020-11-24T10:48:51.994 | ac | 2781335 |
| 1244180 | 3 | 1 | 1 | 3 | 2020-11-24T14:50:17.648 | hc | 2782760 |
| 1244180 | 4 | 1 | 2 | 3 | 2020-12-07T14:15:33.849 | hc | 2822332 |
+-------------+-----------------+-----------------+--------------------+------------+-------------------------+--------------+---------+
Do you know how should i change in my code?
row_number() OVER (partition by b.customer_id,b.service_type order by b.service_type) dense_rank
Remove b.service_type from your partition by clause.
This question already has answers here:
Select first row in each GROUP BY group?
(20 answers)
Closed 2 years ago.
Right now I have this query:
SELECT DISTINCT
stock_picking.id as delivery_order_id,
sale_order.id as sale_order_id,
sale_order.name as sale_order_name,
stock_picking.origin as stock_picking_origin,
stock_picking.name as stock_picking_name,
stock_picking.create_date as stock_picking_create_date,
sub.count_origin as sale_order_delivery_order_done_count
FROM
(
SELECT
origin,
COUNT(origin) as count_origin
FROM stock_picking
WHERE state = 'done'
GROUP BY origin
HAVING COUNT(origin) > 1
ORDER BY origin
) sub
JOIN sale_order ON sale_order.name = sub.origin
JOIN account_invoice ON account_invoice.origin = sale_order.name
JOIN stock_picking ON stock_picking.origin = sale_order.name
WHERE
account_invoice.create_date >= '04/17/20' AND
sale_order.create_date <= '04/01/20 07:00' AND
sale_order.create_date >= '03/01/20'
ORDER BY sale_order.name
;
It returns:
+-------------------+---------------+-----------------+----------------------+--------------------+----------------------------+--------------------------------------+
| delivery_order_id | sale_order_id | sale_order_name | stock_picking_origin | stock_picking_name | stock_picking_create_date | sale_order_delivery_order_done_count |
+-------------------+---------------+-----------------+----------------------+--------------------+----------------------------+--------------------------------------+
| 2053131 | 5840046 | 3258428 | 3258428 | WH/OUT/1804215 | 2020-03-01 07:10:32.144694 | 2 |
| 2071149 | 5840046 | 3258428 | 3258428 | WH/OUT/1819605 | 2020-03-03 18:00:25.208632 | 2 |
| 2154480 | 5840046 | 3258428 | 3258428 | WH/OUT/1894584 | 2020-03-11 08:39:33.514114 | 2 |
| 2053494 | 5840408 | 3258728 | 3258728 | WH/OUT/1804574 | 2020-03-01 07:41:26.728154 | 2 |
| 2105133 | 5840408 | 3258728 | 3258728 | WH/OUT/1849288 | 2020-03-07 13:59:10.049683 | 2 |
| 2192492 | 5840408 | 3258728 | 3258728 | WH/OUT/1929553 | 2020-03-13 09:10:26.18469 | 2 |
| 2061022 | 5861189 | 3279458 | 3279458 | WH/OUT/1811084 | 2020-03-02 14:37:35.803326 | 2 |
| 2170656 | 5861189 | 3279458 | 3279458 | WH/OUT/1909477 | 2020-03-12 08:57:15.434752 | 2 |
| 2072002 | 5885577 | 3294059 | 3294059 | WH/OUT/109633 | 2020-03-04 02:44:03.302924 | 2 |
| 2130430 | 5885577 | 3294059 | 3294059 | WH/OUT/114259 | 2020-03-10 03:13:58.33838 | 2 |
+-------------------+---------------+-----------------+----------------------+--------------------+----------------------------+--------------------------------------+
I want to make sure that the column sale_order_id is unique, but picked from the least delivery_order_id and not aggregated.
I want to have a result like this:
+-------------------+---------------+-----------------+----------------------+--------------------+----------------------------+--------------------------------------+
| delivery_order_id | sale_order_id | sale_order_name | stock_picking_origin | stock_picking_name | stock_picking_create_date | sale_order_delivery_order_done_count |
+-------------------+---------------+-----------------+----------------------+--------------------+----------------------------+--------------------------------------+
| 2053131 | 5840046 | 3258428 | 3258428 | WH/OUT/1804215 | 2020-03-01 07:10:32.144694 | 2 |
| 2053494 | 5840408 | 3258728 | 3258728 | WH/OUT/1804574 | 2020-03-01 07:41:26.728154 | 2 |
| 2061022 | 5861189 | 3279458 | 3279458 | WH/OUT/1811084 | 2020-03-02 14:37:35.803326 | 2 |
| 2072002 | 5885577 | 3294059 | 3294059 | WH/OUT/109633 | 2020-03-04 02:44:03.302924 | 2 |
+-------------------+---------------+-----------------+----------------------+--------------------+----------------------------+--------------------------------------+
You can use distinct on. Your query is complicated, so I'll encapsulate it in a CTE:
with q as (
. . .
)
select distinct on (sale_order_id) q.*
from q
order by sale_order_id, delivery_order_id;
I have a table with 3 columns ordernum, username, and amount. I want to select its rows and show an additional column expected.
The rule for calculating the expected column is as follows:
These rows same OrderNum value will be ranking again based on amount column (Desc order). I don't know how I can describe, but the expected result is shown below :(
I tried with RANK() and ROW_NUMBER(), but have not been able to properly apply above algorithm.
This is my table declaration:
CREATE TABLE data
(
ordernum INT,
username NVARCHAR(30),
amount MONEY
);
This is my table content:
+----------+----------+------------+
| ORDERNUM | USERNAME | AMOUNT |
+----------+----------+------------+
| 1 | test01 | 18382.5079 |
| 1 | test02 | 10476.0000 |
| 1 | test03 | 8128.0000 |
| 1 | test04 | 6680.0000 |
| 1 | test05 | 5388.9673 |
| 1 | test06 | 5356.0000 |
| 12 | test07 | 2806.0000 |
| 12 | test08 | 2806.0000 |
| 12 | test09 | 2806.0000 |
| 14 | test10 | 2530.0000 |
| 15 | test11 | 2330.0000 |
| 16 | test12 | 2183.0000 |
| 16 | test13 | 2182.0000 |
| 17 | test14 | 2000.0000 |
| 18 | test15 | 1621.0000 |
+----------+----------+------------+
And this is my expected result:
+----------+----------+------------+----------+
| ORDERNUM | USERNAME | AMOUNT | EXPECTED |
+----------+----------+------------+----------+
| 1 | test01 | 18382.5079 | 1 |
| 1 | test02 | 10476.0000 | 2 |
| 1 | test03 | 8128.0000 | 3 |
| 1 | test04 | 6680.0000 | 4 |
| 1 | test05 | 5388.9673 | 5 |
| 1 | test06 | 5356.0000 | 6 |
| 12 | test07 | 2806.0000 | 12 |
| 12 | test08 | 2806.0000 | 12 |
| 12 | test09 | 2806.0000 | 12 |
| 14 | test10 | 2530.0000 | 15 |
| 15 | test11 | 2330.0000 | 16 |
| 16 | test12 | 2183.0000 | 17 |
| 16 | test13 | 2182.0000 | 18 |
| 17 | test14 | 2000.0000 | 19 |
| 18 | test15 | 1621.0000 | 20 |
+----------+----------+------------+----------+
Here is a fiddle for the problem: https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=4014cb469a9ec8f57ded5a5e0e60adaf
This should work.
select
OrderNum,
Username,
Amount,
RANK() over (order by OrderNum) as Expected
from yourTable
I have a data orders that looks like this:
| Order | Step | Step Complete Date |
|:-----:|:----:|:------------------:|
| A | 1 | 11/1/2019 |
| | 2 | 11/1/2019 |
| | 3 | 11/1/2019 |
| | 4 | 11/3/2019 |
| | 5 | 11/3/2019 |
| | 6 | 11/5/2019 |
| | 7 | 11/5/2019 |
| B | 1 | 12/1/2019 |
| | 2 | 12/2/2019 |
| | 3 | |
| C | 1 | 10/21/2019 |
| | 2 | 10/23/2019 |
| | 3 | 10/25/2019 |
| | 4 | 10/25/2019 |
| | 5 | 10/25/2019 |
| | 6 | |
| | 7 | 10/27/2019 |
| | 8 | 10/28/2019 |
| | 9 | 10/29/2019 |
| | 10 | 10/30/2019 |
| D | 1 | 10/30/2019 |
| | 2 | 11/1/2019 |
| | 3 | 11/1/2019 |
| | 4 | 11/2/2019 |
| | 5 | 11/2/2019 |
What I need to accomplish is the following:
For each order, assign the 'Order_Completion_Date' field as the most recent 'Step_Complete_Date'. If ANY 'Step_Complete_Date' is NULL, then the value for 'Order_Completion_Date' should be NULL.
I set up a SQL FIDDLE with this data and my attempt, below:
SELECT
OrderNum,
MAX(Step_Complete_Date)
FROM
OrderNums
WHERE
Step_Complete_Date IS NOT NULL
GROUP BY
OrderNum
This is yielding:
ORDERNUM MAX(STEP_COMPLETE_DATE)
D 11/2/2019
A 11/5/2019
B 12/2/2019
C 10/30/2019
How can I achieve:
| OrderNum | Order_Completed_Date |
|:--------:|:--------------------:|
| A | 11/5/2019 |
| B | NULL |
| C | NULL |
| D | 11/2/2019 |
Aggregate function with KEEP can handle this
select ordernum,
max(step_complete_date)
keep (DENSE_RANK FIRST ORDER BY step_complete_date desc nulls first) res
FROM
OrderNums
GROUP BY
OrderNum
You can use a CASE expression to first count if there are any NULL values and if not then find the maximum value:
Query 1:
SELECT OrderNum,
CASE
WHEN COUNT( CASE WHEN Step_Complete_Date IS NULL THEN 1 END ) > 0
THEN NULL
ELSE MAX(Step_Complete_Date)
END AS Order_Completion_Date
FROM OrderNums
GROUP BY OrderNum
Results:
| ORDERNUM | ORDER_COMPLETION_DATE |
|----------|-----------------------|
| D | 11/2/2019 |
| A | 11/5/2019 |
| B | (null) |
| C | (null) |
First, you are representing dates as varchars in mm/dd/yyyy format (at least in fiddle). With max function it can produce incorrect result, try for example order with dates '11/10/2019' and '11/2/2019'.
Second, the most simple solution is IMHO to use fallback date for nulls and get null back when fallback date wins:
SELECT
OrderNum,
NULLIF(MAX(NVL(Step_Complete_Date,'~')),'~')
FROM
OrderNums
GROUP BY
OrderNum
(Example is still for varchars since tilde is greater than any digit. For dates, you could use 9999-12-31, for instance.)
I have four tables as below:
tblAccount
Id i sprimary key
+----+-----------------+
| Id | AccName |
+----+-----------------+
| 1 | AccountA |
| 2 | AccountB |
+----+-----------------+
tblLocation
Id is primary key.
+----+---------------+
| Id | LocName |
+----+---------------+
| 1 | LocationA |
| 2 | LocationB |
| 3 | LocationC |
+----+---------------+
tblAccountwiseLocation
Id i sprimary key.LocId and AccId are foreign key.
+----+---------------+---------------+
| Id | LocId | AccId |
+----+---------------+---------------+
| 1 | 1 | 1 |
| 2 | 2 | 1 |
| 3 | 3 | 1 |
| 4 | 1 | 2 |
| 5 | 2 | 2 |
| 6 | 3 | 2 |
+----+---------------+---------------+
tblRSCMaster
Id i sprimary key.LocId and AccId are foreign key.
+----+---------------+---------------+----------------+------------------+
| Id | LocId | AccId | RSCNo | DateOfAddition |
+----+---------------+---------------+----------------+------------------+
| 1 | 1 | 1 | Acc1_Loc1_1_14 | 15/01/2014 |
| 2 | 2 | 1 | Acc1_Loc2_1_14 | 15/01/2014 |
| 3 | 3 | 1 | Acc1_Loc2_1_14 | 15/01/2014 |
| 4 | 1 | 2 | Acc2_Loc1_1_14 | 15/01/2014 |
| 5 | 2 | 2 | Acc2_Loc2_1_14 | 15/01/2014 |
| 6 | 3 | 2 | Acc2_Loc3_1_14 | 15/01/2014 |
| 7 | 1 | 1 | Acc1_Loc1_2_14 | 15/02/2014 |
| 8 | 2 | 1 | Acc1_Loc2_2_14 | 15/02/2014 |
| 9 | 3 | 1 | Acc1_Loc3_2_14 | 15/02/2014 |
| 10 | 1 | 2 | Acc2_Loc1_2_14 | 15/02/2014 |
| 11 | 2 | 2 | Acc2_Loc2_2_14 | 15/02/2014 |
| 12 | 3 | 2 | Acc2_Loc3_2_14 | 15/02/2014 |
| 13 | 1 | 1 | Acc1_Loc1_3_14 | 15/03/2014 |
| 14 | 2 | 1 | Acc1_Loc2_3_14 | 15/03/2014 |
| 15 | 3 | 1 | Acc1_Loc3_3_14 | 15/03/2014 |
| 16 | 1 | 2 | Acc2_Loc1_3_14 | 15/03/2014 |
| 17 | 2 | 2 | Acc2_Loc2_3_14 | 15/03/2014 |
| 18 | 3 | 2 | Acc2_Loc3_3_14 | 15/03/2014 |
| 19 | 1 | 1 | Acc1_Loc1_4_14 | 15/04/2014 |
| 20 | 2 | 1 | Acc1_Loc2_4_14 | 15/04/2014 |
| 21 | 3 | 1 | Acc1_Loc3_4_14 | 15/04/2014 |
| 22 | 1 | 2 | Acc2_Loc1_4_14 | 15/04/2014 |
| 23 | 2 | 2 | Acc2_Loc2_4_14 | 15/04/2014 |
| 24 | 3 | 2 | Acc2_Loc3_4_14 | 15/04/2014 |
| 25 | 1 | 1 | Acc1_Loc1_5_14 | 15/05/2014 |
| 26 | 2 | 1 | Acc1_Loc2_5_14 | 15/05/2014 |
| 27 | 3 | 1 | Acc1_Loc3_5_14 | 15/05/2014 |
| 28 | 1 | 2 | Acc2_Loc1_5_14 | 15/05/2014 |
| 29 | 2 | 2 | Acc2_Loc2_5_14 | 15/05/2014 |
| 30 | 3 | 2 | Acc2_Loc3_5_14 | 15/05/2014 |
+----+---------------+---------------+----------------+------------------+
Acc1_Loc1_1_14 resembles RSC for LocationA of AccountA for Jan 2014.
I need to get a output as below from tblRSCMaster.
+---------------+---------------+----------------+------------------+
| LocId | AccId | RSCNo | DateOfAddition |
+---------------+---------------+----------------+------------------+
| 1 | 1 | Acc1_Loc1_3_14 | 15/03/2014 |
| 1 | 1 | Acc1_Loc1_4_14 | 15/04/2014 |
| 1 | 1 | Acc1_Loc1_5_14 | 15/05/2014 |
| 2 | 1 | Acc1_Loc2_3_14 | 15/03/2014 |
| 2 | 1 | Acc1_Loc2_4_14 | 15/04/2014 |
| 2 | 1 | Acc1_Loc2_5_14 | 15/05/2014 |
| 3 | 1 | Acc1_Loc3_3_14 | 15/03/2014 |
| 3 | 1 | Acc1_Loc3_4_14 | 15/04/2014 |
| 3 | 1 | Acc1_Loc3_5_14 | 15/05/2014 |
+---------------+---------------+----------------+------------------+
Each account has multiple locations and each location has multiple RSCs.
I need to get last three RSCs for each location for AccountA.
I have tried the below query:
SELECT tblAccountwiseLocation.LocId,tblAccountwiseLocation.AccId,tblRSCMaster.RSCNo,tblRSCMaster.DateOfAddition FROM tblAccountwiseLocation
INNER JOIN tblRSCMaster ON tblAccountwiseLocation.LocId= tblRSCMaster.LocId
where tblRSCMaster.AccId=1
But not getting the proper output.
Please help me out.
Thank you all in advance.
You can wrap the existing query inside a common table expression, and use ROW_NUMBER() to get only the last 3 (by tblRSCMaster.DateOfAddition) entries per tblAccountwiseLocation.LocId.
WITH cte AS (
SELECT tblAccountwiseLocation.LocId,
tblAccountwiseLocation.AccId,
tblRSCMaster.RSCNo,
tblRSCMaster.DateOfAddition,
ROW_NUMBER() OVER (PARTITION BY tblAccountwiseLocation.LocId
ORDER BY tblRSCMaster.DateOfAddition DESC) rn
FROM tblAccountwiseLocation
INNER JOIN tblRSCMaster
ON tblAccountwiseLocation.LocId = tblRSCMaster.LocId
AND tblAccountwiseLocation.AccId = tblRSCMaster.AccId
WHERE tblRSCMaster.AccId=1
)
SELECT LocId, AccId, RSCNo, DateOfAddition
FROM cte
WHERE rn <= 3
ORDER BY LocId, AccId, DateOfAddition
An SQLfiddle to test with.
Is this what you need?
select m.*
from (select m.*, row_number() over (partition by accID
order by DateOfAddition desc) as seqnum
from tblRSCMaster
where m.locid = 1
) m
where seqnum <= 3
order by AccId, DateOfAddition;
I think you need to filter on the locid rather than on the AccId to get what you want.