Change value in row based on a lookup from other rows - sql

I have this data in a table(actually output of a query):
+--------------+------+---------+
| Connection | Pin | Circuit |
+--------------+------+---------+
| Value 1 | 1 | 33 |
| Value 1 | 2 | 1004 |
| Value 1 | 3 | 1015 |
| Value 1 | 4 | |
| Value 2 | SP-A | 1003 |
| Value 2 | SP-A | 1004 |
| Value 2 | SP-A | 1005 |
| Value 2 | SP-B | 1014 |
| Value 2 | SP-B | 1015 |
| Value 2 | SP-B | 1016 |
+--------------+------+---------+
I would like to use an SQL query to change it to this:
(changing the Pin based on a matching Circuit)
e.g.:
For each "SP-A", get the list of possible Circuits (1003, 1004, 1005)
Then look for a matching Circuit in another Connection (here this matches 1004, so we get Pin = 2)
Then replace the original value "SP-A" here with the match "2"
+------------+-------+---------+
| Connection | Pin | Circuit |
+------------+-------+---------+
| Value 1 | 1 | 33 |
| Value 1 | 2 | 1004 |
| Value 1 | 3 | 1015 |
| Value 1 | 4 | |
| Value 2 | *2* | 1003 |
| Value 2 | *2* | *1004*|
| Value 2 | *2* | 1005 |
| Value 2 | *3* | 1014 |
| Value 2 | *3* | *1015*|
| Value 2 | *3* | 1016 |
+------------+-------+---------+
My SQL skills are lacking.
I'm doing this in MS-Access.


First of all, try this, if it works, apply it on your main data.
CREATE TABLE #TEMP
(Connection nvarchar(50),
Pin nvarchar(50),
Circuit nvarchar(50))
INSERT INTO #TEMP
SELECT Connection, Pin, Circuit FROM Table_1
UPDATE TU
SET Pin = (
SELECT '*' + T1.Pin + '*' FROM Table_1 T1
INNER JOIN Table_1 T2 ON T1.Circuit = T2.Circuit AND T1.Connection <> T2.Connection AND T2.Pin = TU.Pin
)
FROM #TEMP TU
WHERE Connection = 'Value 2'
UPDATE TU
SET Circuit = '*' + T2.Circuit + '*'
FROM #TEMP TU
INNER JOIN #TEMP T2 ON TU.Circuit = T2.Circuit AND TU.Connection <> T2.Connection
WHERE TU.Connection = 'Value 2'
SELECT * FROM #TEMP
DROP TABLE #TEMP


You can express the logic using a correlated subquery:
update t
set pin = (select top (1) t2.pin
from t as t2
where t2.circuit = t.circuit and
t2.connection <> t.connection
)
where pin in ('SP-A', 'SP-B');

Related

Replace null values with most recent non-null values SQL

I have a table where each row consists of an ID, date, variable values (eg. var1).
When there is a null value for var1 in a row, I want like to replace the null value with the most recent non-null value before that date for that ID. How can I do this quickly for a very large table?
So presume I start with this table:
+----+------------|-------+
| id |date | var1 |
+----+------------+-------+
| 1 |'01-01-2022'|55 |
| 2 |'01-01-2022'|12 |
| 3 |'01-01-2022'|45 |
| 1 |'01-02-2022'|Null |
| 2 |'01-02-2022'|Null |
| 3 |'01-02-2022'|20 |
| 1 |'01-03-2022'|15 |
| 2 |'01-03-2022'|Null |
| 3 |'01-03-2022'|Null |
| 1 |'01-04-2022'|Null |
| 2 |'01-04-2022'|77 |
+----+------------+-------+
Then I want this
+----+------------|-------+
| id |date | var1 |
+----+------------+-------+
| 1 |'01-01-2022'|55 |
| 2 |'01-01-2022'|12 |
| 3 |'01-01-2022'|45 |
| 1 |'01-02-2022'|55 |
| 2 |'01-02-2022'|12 |
| 3 |'01-02-2022'|20 |
| 1 |'01-03-2022'|15 |
| 2 |'01-03-2022'|12 |
| 3 |'01-03-2022'|20 |
| 1 |'01-04-2022'|15 |
| 2 |'01-04-2022'|77 |
+----+------------+-------+

cte suits perfect here
this snippets returns the rows with values, just an update query and thats all (will update my response).
WITH selectcte AS
(
SELECT * FROM testnulls where var1 is NOT NULL
)
SELECT t1A.id, t1A.date, ISNULL(t1A.var1,t1B.var1) varvalue
FROM selectcte t1A
OUTER APPLY (SELECT TOP 1 *
FROM selectcte
WHERE id = t1A.id AND date < t1A.date
AND var1 IS NOT NULL
ORDER BY id, date DESC) t1B
Here you can dig further about CTEs :
https://learn.microsoft.com/en-us/sql/t-sql/queries/with-common-table-expression-transact-sql?view=sql-server-ver16

How to insert records based on another table value

I have the following three tables:
Permission
| PermissionId | PermissionName |
+--------------+----------------+
| 1 | A |
| 2 | B |
| 3 | C |
| 100 | D |
Group
| GroupId | GroupLevel | GroupName |
+---------+------------+----------------------+
| 1 | 0 | System Administrator |
| 7 | 0 | Test Group 100 |
| 8 | 20 | Test Group 200 |
| 9 | 20 | test |
| 10 | 50 | TestGroup01 |
| 11 | 51 | TestUser02 |
| 12 | 52 | TestUser03 |
GroupPermission
| GroupPermissionId | FkGroupId | FkPermissionId |
+-------------------+-----------+----------------+
| 1 | 1 | 1 |
| 2 | 1 | 2 |
| 3 | 1 | 3 |
| 4 | 1 | 4 |
I need to insert records into GroupPermission table, if table Group, GroupLevel column have 0
then I need to take its GroupId and need to insert values to GroupPermission table as that particular id and 100.
In order to above sample table records, I need to insert the following two records to GroupPermission table,
| FkGroupId | FkPermissionId |
+-----------+----------------+
| 1 | 100 |
| 7 | 100 |
How can I do it

This question is not very clear and I can only assume the value 100 is a static value and that you don't actually have foreign keys as the names of the columns imply. Also, you really should avoid reserved words like "Group" for object names. It makes things more difficult and confusing.
The simple version of your insert might look like this.
insert GroupPermission
(
FkGroupId
, FkPermissionId
)
select g.GroupId
, 100
from [Group] g
where g.GroupLevel = 0
--EDIT--
Since you want to only insert those rows that don't already exist you can use NOT EXISTS like this.
select g.GroupId
, 100
from [Group] g
where g.GroupLevel = 0
AND NOT EXISTS
(
select *
from GroupPermission gp
where gp.FkGroupId = g.GroupId
and g.FkPermissionId = 100
)
Or you could use a left join like this.
select g.GroupId
, 100
from [Group] g
left join GroupPermission gp on gp.FkGroupId = g.GroupId
and gp.FkPermissionId = 100
where g.GroupLevel = 0
and gp.FkGroupId is null

Select from a concatenation of two columns after a left join

Problem description
Let the tables C and V have those values
>> Table V <<
| UnID | BillID | ProductDesc | Value | ... |
| 1 | 1 | 'Orange Juice' | 3.05 | ... |
| 1 | 1 | 'Apple Juice' | 3.05 | ... |
| 1 | 2 | 'Pizza' | 12.05 | ... |
| 1 | 2 | 'Chocolates' | 9.98 | ... |
| 1 | 2 | 'Honey' | 15.98 | ... |
| 1 | 3 | 'Bread' | 3.98 | ... |
| 2 | 1 | 'Yogurt' | 8.55 | ... |
| 2 | 1 | 'Ice Cream' | 7.05 | ... |
| 2 | 1 | 'Beer' | 9.98 | ... |
| 2 | 2 | 'League of Legends RP' | 40.00 | ... |
>> Table C <<
| UnID | BillID | ClientName | ... |
| 1 | 1 | 'Alexander' | ... |
| 1 | 2 | 'Tom' | ... |
| 1 | 3 | 'Julia' | ... |
| 2 | 1 | 'Tom' | ... |
| 2 | 2 | 'Alexander' | ... |
Table C have the values of each product, which is associated with a bill number. Table V has the relationship between the client name and the bill number. However, the bill number has a counter that is dependent on the UnId, which is the store unity ID. That being said, each store has it`s own Bill number 1, number 2, etc. Also, the number of bills from each store are not equal.
Solution description
I'm trying to make select between the C left join V without sucess. Because each BillID is dependent on the UnID, I have to make the join considering the concatenation between those two columns.
I've used this script, but it gives me an error.
SELECT
SUM(C.Value),
V.ClientName
FROM
C
LEFT JOIN
V
ON
CONCAT(C.UnID, C.BillID) = CONCAT(V.UnID, V.BillID)
GROUP BY
V.ClientName
and SQL server returns me this 'CONCAT' is not a recognized built-in function name.
I'm using Microsoft SQL Server 2008 R2
Is the use of CONCAT wrong? Or is it the way I tried to SELECT? Could you give me a hand?
[OBS: The tables I've present you are just for the purpose of explaining my difficulties. That being said, if you find any errors in the explanation, please let me know to correct them.]

You should be joining on the equality of the UnID and BillID columns in the two tables:
SELECT
c.ClientName,
COALESCE(SUM(v.Value), 0) AS total
FROM C c
LEFT JOIN V v
ON c.UnID = v.UnID AND
c.BillID = v.BillID
GROUP BY
c.ClientName;
In theory you could try joining on CONCAT(UnID, BillID). However, you could run into problems. For example, UnID = 1 with BillID = 23 would, concatenated together, be the same as UnID = 12 and BillID = 3.
Note: We wrap the sum with COALESCE, because should a given client have no entries in the V table, the sum would return NULL, which we then replace with zero.

concat is only available in sql server 2012.
Here's one option.
SELECT
SUM(C.Value),
V.ClientName
FROM
C
LEFT JOIN
V
ON
cast(C.UnID as varchar(100)) + cast(C.BillID as varchar(100)) = cast(V.UnID as varchar(100)) + cast(V.BillID as varchar(100))
GROUP BY
V.ClientName

T-SQL return individual values instead of cumulative value

I have a 1 table in a db that stored Incoming, Outgoing and Net values for various Account Codes over time. Although there is a date field the sequence of events per Account Code is based on the "Version" number where 0 = original record for each Account Code and it increments by 1 after each change to that Account Code.
The Outgoing and Incoming values are stored in the db as cumulative values rather than the individual transaction value but I am looking for a way to Select * From this table and return the individual amounts as opposed to the cumulative.
Below are test scripts of table and data, and also 2 examples.
If i Select where code = '123' in the test table I currently get this (values are cumulative);
+------+------------+---------+---------+---------+-----+
| Code | Date | Version | Incoming| Outgoing| Net |
+------+------------+---------+---------+---------+-----+
| 123 | 01/01/2018 | 0 | 100 | 0 | 100 |
| 123 | 07/01/2018 | 1 | 150 | 0 | 150 |
| 123 | 09/01/2018 | 2 | 150 | 100 | 50 |
| 123 | 14/01/2018 | 3 | 200 | 100 | 100 |
| 123 | 18/01/2018 | 4 | 200 | 175 | 25 |
| 123 | 23/01/2018 | 5 | 225 | 175 | 50 |
| 123 | 30/01/2018 | 6 | 225 | 225 | 0 |
+------+------------+---------+---------+---------+-----+
This is what I would like to see (each individual transaction);
+------+------------+---------+----------+----------+------+
| Code | Date | Version | Incoming | Outgoing | Net |
+------+------------+---------+----------+----------+------+
| 123 | 01/01/2018 | 0 | 100 | 0 | 100 |
| 123 | 07/01/2018 | 1 | 50 | 0 | 50 |
| 123 | 09/01/2018 | 2 | 0 | 100 | -100 |
| 123 | 14/01/2018 | 3 | 50 | 0 | 50 |
| 123 | 18/01/2018 | 4 | 0 | 75 | -75 |
| 123 | 23/01/2018 | 5 | 25 | 0 | 25 |
| 123 | 30/01/2018 | 6 | 0 | 50 | -50 |
+------+------------+---------+----------+----------+------+
If I had the individual transaction values and wanted to report on the cumulative, I would use an OVER PARTITION BY, but is there an opposite to that?
I am not looking to redesign the create table or the process in which it is stored, I am just looking for a way to report on this from our MI environment.
Note: I've added other random Account Codes into this to emphasis how the data is not ordered by Code or Version, but by Date.
thanks in advance for any help.
USE [tempdb];
IF EXISTS ( SELECT *
FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_NAME = 'Table1'
AND TABLE_SCHEMA = 'dbo')
DROP TABLE [dbo].[Table1];
GO
CREATE TABLE [dbo].[Table1]
(
[Code] CHAR(3)
,[Date] DATE
,[Version] CHAR(3)
,[Incoming] DECIMAL(20,2)
,[Outgoing] DECIMAL(20,2)
,[Net] DECIMAL(20,2)
);
GO
INSERT INTO [dbo].[Table1] VALUES
('123','2018-01-01','0','100','0','100'),
('456','2018-01-02','0','50','0','50'),
('789','2018-01-03','0','0','0','0'),
('456','2018-01-04','1','100','0','100'),
('456','2018-01-05','2','150','0','150'),
('789','2018-01-06','1','50','50','0'),
('123','2018-01-07','1','150','0','150'),
('456','2018-01-08','3','200','0','200'),
('123','2018-01-09','2','150','100','50'),
('789','2018-01-10','2','0','0','0'),
('456','2018-01-11','4','225','0','225'),
('789','2018-01-12','3','75','25','50'),
('987','2018-01-13','0','0','50','-50'),
('123','2018-01-14','3','200','100','100'),
('654','2018-01-15','0','100','0','100'),
('456','2018-01-16','5','250','0','250'),
('987','2018-01-17','1','50','50','0'),
('123','2018-01-18','4','200','175','25'),
('789','2018-01-19','4','100','25','75'),
('987','2018-01-20','2','150','125','25'),
('321','2018-01-21','0','100','0','100'),
('654','2018-01-22','1','0','0','0'),
('123','2018-01-23','5','225','175','50'),
('321','2018-01-24','1','100','50','50'),
('789','2018-01-25','5','100','50','50'),
('987','2018-01-26','3','150','150','0'),
('456','2018-01-27','6','250','250','0'),
('456','2018-01-28','7','270','250','20'),
('321','2018-01-29','2','100','100','0'),
('123','2018-01-30','6','225','225','0'),
('987','2018-01-31','4','175','150','25')
;
GO
SELECT *
FROM [dbo].[Table1]
WHERE [Code] = '123'
GO;
USE [tempdb];
IF EXISTS ( SELECT *
FROM INFORMATION_SCHEMA.TABLES
WHERE TABLE_NAME = 'Table1'
AND TABLE_SCHEMA = 'dbo')
DROP TABLE [dbo].[Table1];
GO;
}

Just use lag():
select Evt, Date, Version,
(Loss - lag(Loss, 1, 0) over (partition by evt order by date)) as incoming,
(Rec - lag(Rec, 1, 0) over (partition by evt order by date)) as outgoing,
(Net - lag(Net, 1, 0) over (partition by evt order by date)) as net
from [dbo].[Table1];

SQL - Rows that are repetitive with a particular condition

We have a table like this:
+----+-------+-----------------+----------------+-----------------+----------------+-----------------+
| ID | Name | RecievedService | FirstZoneTeeth | SecondZoneTeeth | ThirdZoneTeeth | FourthZoneTeeth |
+----+-------+-----------------+----------------+-----------------+----------------+-----------------+
| 1 | John | SomeService1 | 13 | | 4 | |
+----+-------+-----------------+----------------+-----------------+----------------+-----------------+
| 2 | John | SomeService1 | 34 | | | |
+----+-------+-----------------+----------------+-----------------+----------------+-----------------+
| 3 | Steve | SomeService3 | | | | 2 |
+----+-------+-----------------+----------------+-----------------+----------------+-----------------+
| 4 | Steve | SomeService4 | | | | 12 |
+----+-------+-----------------+----------------+-----------------+----------------+-----------------+
Every digit in zones is a tooth (dental science) and it means "John" has got "SomeService1" twice for tooth #3.
+----+------+-----------------+----------------+-----------------+----------------+-----------------+
| ID | Name | RecievedService | FirstZoneTeeth | SecondZoneTeeth | ThirdZoneTeeth | FourthZoneTeeth |
+----+------+-----------------+----------------+-----------------+----------------+-----------------+
| 1 | John | SomeService1 | 13 | | 4 | |
+----+------+-----------------+----------------+-----------------+----------------+-----------------+
| 2 | John | SomeService1 | 34 | | | |
+----+------+-----------------+----------------+-----------------+----------------+-----------------+
Note that Steve has received services twice for tooth #2 (4th Zone) but services are not one.
I'd write some code that gives me a table with duplicate rows (Checking the only patient and received service)(using "group by" clause") but I need to check zones too.
I've tried this:
select ROW_NUMBER() over(order by vv.ID_sick) as RowNum,
bb.Radif,
bb.VCount as 'Count',
vv.ID_sick 'ID_Sick',
vv.ID_service 'ID_Service',
sick.FNamesick + ' ' + sick.LNamesick as 'Sick',
serv.NameService as 'Service',
vv.Mab_Service as 'MabService',
vv.Mab_daryafti as 'MabDaryafti',
vv.datevisit as 'DateVisit',
vv.Zone1,
vv.Zone2,
vv.Zone3,
vv.Zone4,
vv.ID_dentist as 'ID_Dentist',
dent.FNamedentist + ' ' + dent.LNamedentist as 'Dentist',
vv.id_do as 'ID_Do',
do.FNamedentist + ' ' + do.LNamedentist as 'Do'
from visiting vv inner join (
select ROW_NUMBER() OVER(ORDER BY a.ID_sick ASC) AS Radif,
count(a.ID_sick) as VCount,
a.ID_sick,
a.ID_service
from visiting a
group by a.ID_sick, a.ID_service, a.Zone1, a.Zone2, a.Zone3, a.Zone4
having count(a.ID_sick)>1)bb
on vv.ID_sick = bb.ID_sick and vv.ID_service = bb.ID_service
left join InfoSick sick on vv.ID_sick = sick.IDsick
left join infoService serv on vv.ID_service = serv.IDService
left join Infodentist dent on vv.ID_dentist = dent.IDdentist
left join infodentist do on vv.id_do = do.IDdentist
order by bb.ID_sick, bb.ID_service,vv.datevisit
But this code only returns rows with all tooths repeated. What I want is even one tooth repeats ...
How can I implement it?
I need to check characters in zones.
**Zone's datatype is varchar

This is a bad datamodel for what you are trying to do. By storing the teeth as a varchar, you have kind of decided that you are not interested in single teeth, but only in the group of teeth. Now, however, you are trying to investigate on single teeth.
You'd want a datamodel like this:
service
+------------+--------+-----------------+
| service_id | Name | RecievedService |
+------------+--------+-----------------+
| 1 | John | SomeService1 |
+------------+--------+-----------------+
| 3 | Steve | SomeService3 |
+------------+--------+-----------------+
| 4 | Steve | SomeService4 |
+------------+-------+-----------------+
service_detail
+------------+------+-------+
| service_id | zone | tooth |
+------------+------+-------+
| 1 | 1 | 1 |
| 1 | 1 | 3 |
| 1 | 3 | 4 |
+------------+------+-------+
| 1 | 1 | 3 |
| 1 | 1 | 4 |
+------------+------+-------+
| 3 | 4 | 2 |
+------------+------+-------+
| 4 | 4 | 1 |
| 4 | 4 | 2 |
+------------+------+-------+
What you can do with the given datamodel is to create such table on-the-fly using a recursive query and string manipulation:
with unpivoted(service_id, name, zone, teeth) as
(
select recievedservice, name, 1, firstzoneteeth
from mytable where len(firstzoneteeth) > 0
union all
select recievedservice, name, 2, secondzoneteeth
from mytable where len(secondzoneteeth) > 0
union all
select recievedservice, name, 3, thirdzoneteeth
from mytable where len(thirdzoneteeth) > 0
union all
select recievedservice, name, 4, fourthzoneteeth
from mytable where len(fourthzoneteeth) > 0
)
, service_details(service_id, name, zone, tooth, teeth) as
(
select
service_id, name, zone, substring(teeth, 1, 1), substring(teeth, 2, 10000)
from unpivoted
union all
select
service_id, name, zone, substring(teeth, 1, 1), substring(teeth, 2, 10000)
from service_details
where len(teeth) > 0
)
, duplicates(service_id, name) as
(
select distinct service_id, name
from service_details
group by service_id, name, zone, tooth
having count(*) > 1
)
select m.*
from mytable m
join duplicates d on d.service_id = m.recievedservice and d.name = m.name;
A lot of work and a rather slow query due to a bad datamodel, but still feasable.
Rextester demo: http://rextester.com/JVWK49901