I have the following tables:
Bradford_Score_Bands
BandNo InclusiveScore
------------------------
1 0
2 150
3 500
Bradford_Scores
ClockNo Dated Score
--------------------------------
2 30/10/14 123
99 30/10/14 3
2 29/10/14 101
99 29/10/14 8
Employees
ClockNo
--------------------
2
3
99
My aim is to work out the BandNo for each ClockNo for today and yesterday based on their score
I can find the correct BandNo based on a score value like this:
SELECT MIN(BandNo) FROM Bradford_Score_Bands WHERE InclusiveScore >= 123
I can find the score for today and yesterday for each person like this:
SELECT DISTINCT EMP.ClockNo,
ISNULL((SELECT Score FROM Bradford_Scores BFT WHERE Dated = '2014-10-30' AND BFT.ClockNo = EMP.ClockNo), 0) As ScoreToday,
ISNULL((SELECT Score FROM Bradford_Scores BFT WHERE Dated = '2014-10-29' AND BFT.ClockNo = EMP.ClockNo), 0) As ScoreYesterday
FROM Employees EMP
But I can't seem to be able to combine the two. I thought something like this would work:
SELECT DISTINCT EMP.ClockNo,
(SELECT MIN(BandNo) FROM Bradford_Score_Bands WHERE InclusiveScore >=
(SELECT Score FROM Bradford_Scores BFT1 WHERE Dated = '2014-10-30' AND BFT1.ClockNo = EMP.ClockNo)),
(SELECT MIN(BandNo) FROM Bradford_Score_Bands WHERE InclusiveScore >=
(SELECT Score FROM Bradford_Scores BFT2 WHERE Dated = '2014-10-29' AND BFT2.ClockNo = EMP.ClockNo))
FROM Employees EMP
But the parts in the subquery where I reference BFTX.ClockNo = EMP.ClockNo seem to be causing the query to fail. I get the helpful pervasive error "Data Record ManagerCurrency not on a record"
EDIT:
I tried this exact same query in SQL Server and it works, so is there a way to re-write this to make it more Pervasive friendly?
Now this is tagged with SQL Server I don't feel the need to write a pervasive query that works.
I took your original query and rewrote it in a simpler fashion. Maybe try this and see if it solves your problem?
DECLARE #Bradford_Score_Bands TABLE (BandNo INT, InclusiveScore INT);
INSERT INTO #Bradford_Score_Bands VALUES (1, 0);
INSERT INTO #Bradford_Score_Bands VALUES (2, 150);
INSERT INTO #Bradford_Score_Bands VALUES (3, 500);
DECLARE #Bradford_Scores TABLE (ClockNo INT, Dated DATE, Score INT);
INSERT INTO #Bradford_Scores VALUES (2, '20141030', 123);
INSERT INTO #Bradford_Scores VALUES (99, '20141030', 3);
INSERT INTO #Bradford_Scores VALUES (2, '20141029', 101);
INSERT INTO #Bradford_Scores VALUES (99, '20141029', 8);
DECLARE #Employees TABLE (ClockNo INT);
INSERT INTO #Employees VALUES (2);
INSERT INTO #Employees VALUES (3);
INSERT INTO #Employees VALUES (99);
--Original Query
SELECT DISTINCT
EMP.ClockNo,
(SELECT MIN(BandNo) FROM #Bradford_Score_Bands WHERE InclusiveScore >= (SELECT Score FROM #Bradford_Scores BFT1 WHERE Dated = '2014-10-30' AND BFT1.ClockNo = EMP.ClockNo)),
(SELECT MIN(BandNo) FROM #Bradford_Score_Bands WHERE InclusiveScore >= (SELECT Score FROM #Bradford_Scores BFT2 WHERE Dated = '2014-10-29' AND BFT2.ClockNo = EMP.ClockNo))
FROM
#Employees EMP;
--New query
SELECT
e.ClockNo,
MIN(bsbt.BandNo),
MIN(bsby.BandNo)
FROM
#Employees e
LEFT JOIN #Bradford_Scores bst ON bst.ClockNo = e.ClockNo AND bst.Dated = '20141030'
LEFT JOIN #Bradford_Scores bsy ON bsy.ClockNo = e.ClockNo AND bsy.Dated = '20141029'
LEFT JOIN #Bradford_Score_Bands bsbt ON bsbt.InclusiveScore >= bst.Score
LEFT JOIN #Bradford_Score_Bands bsby ON bsby.InclusiveScore >= bsy.Score
GROUP BY
e.ClockNo;
I got exactly the same results for both queries when running this on SQL Server.
Related
I want to join two tables by 'EmployeeId' and 'CalendarMonthId', but problem is that I want to connect record with the bigest CalednarMonthId if not exist equal. I use Azure Synapse SQL pool.
Example data and code
create table emp_contr (
EmployeeId int,
CalendarMonthId int,
IsDeleted int
--login varchar(20)
)
create table contr (
ContractId int,
EmployeeId int,
CalendarMonthId int,
value int
)
insert into emp_contr values (1, 202201, 0)
insert into emp_contr values (1, 202202, 0)
insert into emp_contr values (1, 202205, 0)
insert into emp_contr values (1, 202206, 0)
insert into emp_contr values (2, 202202, 0)
insert into emp_contr values (2, 202203, 0)
insert into contr values (1, 1, 202201, 5)
insert into contr values (2, 1, 202202, 2)
insert into contr values (40, 2, 202202, 2)
insert into contr values (50, 2, 202203, 0)
Base on this data I have problem with connect table: emp_contr, row: EmployeeId:1, CalendarMonthId:202205 with row from table contr from the same user and maximum CalendarMonthId:202202. I have query like this, but it doesn't work
select *
from emp_contr ec
join contr c
on ec.EmployeeId = c.EmployeeId
and (ec.CalendarMonthId = c.CalendarMonthId or ec.CalendarMonthId > max(c.CalendarMonthId))
order by ec.EmployeeId
I expect result like this:
EmployeeId
Emp_Contr_CalendarMonthId
Contr_CalendarMonthId
Value
ContractId
1
202206
202202
2
2
1
202205
202202
2
2
1
202202
202202
2
2
1
202201
202201
5
1
2
202203
202203
0
50
2
202202
202202
2
40
I don't know what I should do. Maybe should I add row in temporary table based on contr table with the same values like bigest one but different CalendarMonthId
TL;DR:
select ec.EmployeeId, ec.CalendarMonthId Emp_Contr_CalendarMonthId,
coalesce(c.CalendarMonthId,c2.CalendarMonthId) Contr_CalendarMonthId,
coalesce(c.value,c2.value) value,
coalesce(c.ContractId,c2.ContractId) ContractId,
-- additional columns for debugging
c.CalendarMonthId, c.value, c.ContractId,
c2.CalendarMonthId, c2.value, c2.ContractId
from emp_contr ec
left join contr c
on ec.EmployeeId = c.EmployeeId
and ec.CalendarMonthId = c.CalendarMonthId
join (
select *
from (
select EmployeeId,
CalendarMonthId,
value,
ContractId,
row_number() over (partition by EmployeeId order by CalendarMonthId desc) rn
from contr
) x
where rn = 1
) c2 on ec.EmployeeId = c2.EmployeeId
order by ec.EmployeeId, ec.CalendarMonthId desc
SQL Fiddle
The coalesce assumes all relevant columns are NOT NULL. If this is not the case you'll have to replace them with CASE-expressions in which you check if c.CalendarMonthId is null.
Explanation
The statement joins contr twice.
First using an outer join to obtain the matching results when present, without loosing rows without a match.
The second join is an inner join.
This assumes there is at least one contr row per emp_contr
The join does join an inline view which
uses the window function row_number() to filter only the last row per employee when ordered by CalendarMonthId
The last step is to combine the results, and pick the one from the first join if present and the one from the second join if not.
Imagine I have a CTE that creates a result set containing all of the information I need and need to do a bunch of conditional counting on the result set. Is there a better way to do it than a bunch of subqueries?
I can't use count() over () either as I need to sometimes do a distinct count on values and using a case when val=true then 1 else null end to conditionally count doesn't let me distinctly count, not to mention that it is basically the same as doing a bunch of subqueries.
Any recommendations, or is creating a bunch of subqueries the way to go?
(example SQL Fiddle)
Table Definitions
create table person (id int, name varchar2(20), age int, cityID int);
create table city (id int, name varchar2(20), stateID int);
create table state (id int, name varchar2(20));
insert into person values(1, 'Bob', 45, 1);
insert into person values(2, 'Joe', 33, 1);
insert into person values(3, 'Craig', 20, 1);
insert into person values(4, 'Alex', 45, 2);
insert into person values(5, 'Kevin', 33, 3);
insert into city values(1, 'Chicago', 1);
insert into city values(2, 'New York', 2);
insert into city values(3, 'Los Angeles', 3);
insert into state values(1, 'Illinois');
insert into state values(2, 'New York');
insert into state values(3, 'California');
SQL Query Example
with cte as (
select p.name pName
, p.age pAge
, c.name cName
, s.name sName
from person p
inner join city c
on p.cityID = c.ID
inner join state s
on c.stateID = s.ID
)
select distinct
(select count(*) from cte) totalRows
, (select count(*) from cte where pAge = 45) total45YO
, (select count(*) from cte where cName like 'Chicago') totalChicago
, (select count(distinct cName) from cte) totalCities
from cte
An example output I would hope for
TOTALROWS TOTAL45YO TOTALCHICAGO TOTALCITIES
------------------------------------------------------
5 2 3 3
Easiest is just as #jarlh mentions and use case/sum combinations to accomplish as follows.
SQL> select count(*) totalRows
2 , sum(case when p.age=45 then 1 else 0 end) total45YO
3 , sum(case when c.name like 'Chicago' then 1 else 0 end) totalChicago
4 , count(distinct c.name) totalCities
5 from person p
6 inner join city c
7 on p.cityID = c.ID
8 inner join state s
9 on c.stateID = s.ID;
TOTALROWS TOTAL45YO TOTALCHICAGO TOTALCITIES
____________ ____________ _______________ ______________
5 2 3 3
SQL>
I have my table in this structure. I am trying to find all the unique ID's whose word's do not appear in the list. How can I achieve this in MS SQL Server.
id word
1 hello
2 friends
2 world
3 cat
3 dog
2 country
1 phone
4 eyes
I have a list of words
**List**
phone
eyes
hair
body
Expected Output
Except the words from the list, I need all the unique ID's. In this case it is,
2
3
I & 4 is not in the output as their words appears in the List
I tried the below code
Select count(distinct ID)
from Table1
where word not in ('phone','eyes','hair','body')
I tried Not Exists also which did not work
You can also use GROUP BY
SELECT id
FROM Table1
GROUP BY id
HAVING MAX(CASE WHEN word IN('phone', 'eyes', 'hair', 'body') THEN 1 ELSE 0 END) = 0
One way to do it is to use not exists, where the inner query is linked to the outer query by id and is filtered by the search words.
First, create and populate sample table (Please save us this step in your future questions):
DECLARE #T AS TABLE (
id int,
word varchar(20)
)
INSERT INTO #T VALUES
(1, 'hello'),
(2, 'friends'),
(2, 'world'),
(3, 'cat'),
(3, 'dog'),
(2, 'country'),
(1, 'phone'),
(4, 'eyes')
The query:
SELECT DISTINCT id
FROM #T t0
WHERE NOT EXISTS
(
SELECT 1
FROM #T t1
WHERE word IN('phone', 'eyes', 'hair', 'body')
AND t0.Id = t1.Id
)
Result:
id
2
3
SELECT t.id FROM dbo.table AS t
WHERE NOT EXISTS (SELECT 1 FROM dbo.table AS t2
INNER JOIN
(VALUES('phone'),('eyes'),('hair'),('body')) AS lw(word)
ON t2.word = lw.word
AND t2.id = t.id)
GROUP BY t.id;
You can try this as well: this is a dynamic table structure:
DECLARE #T AS TABLE (id int, word varchar(20))
INSERT INTO #T VALUES
(1, 'hello'),
(2, 'friends'),
(2, 'world'),
(3, 'cat'),
(3, 'dog'),
(2, 'country'),
(1, 'phone'),
(4, 'eyes')
DECLARE #tblNotUsed AS TABLE ( id int, word varchar(20))
DECLARE #tblNotUsedIds AS TABLE (id int)
INSERT INTO #tblNotUsed VALUES
(1, 'phone'),
(2, 'eyes'),
(3, 'hair'),
(4, 'body')
INSERT INTO #tblNotUsedIds (id)
SELECT [#T].id FROM #T INNER JOIN #tblNotUsed ON [#tblNotUsed].word = [#T].word
SELECT DISTINCT id FROM #T
WHERE id NOT IN (SELECT id FROM #tblNotUsedIds)
The nice thing about SQL is there are sometimes many ways to do things. Here is one way is to place your list of known values into a #temp table and then run something like this.
Select * from dbo.maintable
EXCEPT
Select * from #tempExcludeValues
The results will give you all records that aren't in your predefined list. A second way is to do the join like Larnu has mentioned in the comment above. NOT IN is typically not the fastest way to do things on larger datasets. JOINs are by far the most efficient method of filtering data. Many times better than using a IN or NOT IN clause.
I have two tables I want to join.
Table A has one column, named "Week", and contains 52 rows: 1,2,3,4,5,6 etc.
Table 2 has three columns, named "Name", "Week", and "Total", and contains 10 rows:
'Bob', 1, 1
'Bob', 3, 1
'Joe', 4, 1
'Bob', 6, 1
I want to join these together so that my data looks like:
NAME|WEEK|TOTAL
'Bob', 1, 1
'Bob', 2, 0
'Bob', 3, 1
'Bob', 4, 0
'Bob', 5, 0
'Bob', 6, 1
As you can see, a simple outer join. However, when I try to do this, I'm not getting the expected result, no matter what kind of join I use.
My query below:
SELECT a.WEEK, b.Total
FROM Weeks a LEFT JOIN Totals b ON (a.Week = b.Week and b.Name ='Bob')
The result of this query is
NAME|WEEK|TOTAL
'Bob', 1, 1
'Bob', 3, 1
'Bob', 6, 1
Thanks in advance for the help!
I know its access but your join is incorrect. Here we go in sql server..same concept just look at the join condition:
--dont worry about this code im just creating some temp tables
--table to store one column (mainly week number 1,2..52)
CREATE TABLE #Weeks
(
weeknumber int
)
--insert some test data
--week numbers...I'll insert some for you
INSERT INTO #Weeks(weeknumber) VALUES(1)
INSERT INTO #Weeks(weeknumber) VALUES(2)
INSERT INTO #Weeks(weeknumber) VALUES(3)
INSERT INTO #Weeks(weeknumber) VALUES(4)
INSERT INTO #Weeks(weeknumber) VALUES(5)
INSERT INTO #Weeks(weeknumber) VALUES(6)
--create another table with two columns storing the week # and a total for that week
CREATE TABLE #Table2
(
weeknumber int,
total int
)
--insert some data
INSERT INTO #Table2(weeknumber, total) VALUES(1, 100)
--notice i skipped week 2 on purpose to show you the results
INSERT INTO #Table2(weeknumber, total) VALUES(3, 100)
--here's the magic
SELECT t1.weeknumber as weeknumber, ISNULL(t2.total,0) as total FROM
#Weeks t1 LEFT JOIN #Table2 t2 ON t1.weeknumber=t2.weeknumber
--get rid of the temp tables
DROP TABLE #table2
DROP TABLE #Weeks
Results:
1 100
2 0
3 100
4 0
5 0
6 0
Take your week number table (the table that has one column:
SELECT t1.weeknumber as weeknumber
Add to it a null check to replace the null value with a 0. I think there is something in access like ISNULL:
ISNULL(t2.total, 0) as total
And start your join from your first table and left join to your second table on the weeknumber field. The result is simple:
SELECT t1.weeknumber as weeknumber, ISNULL(t2.total,0) as total FROM
#Weeks t1 LEFT JOIN #Table2 t2 ON t1.weeknumber=t2.weeknumber
Do not pay attention to all the other code I have posted, that is only there to create temp tables and insert values into the tables.
SELECT b.Name, b.Week, b.Total
FROM Totals AS b
WHERE b.Name ='Bob'
UNION
SELECT 'Bob' AS Name, a.Week, 0 AS Total
FROM Weeks AS a
WHERE NOT EXISTS ( SELECT *
FROM Totals AS b
WHERE a.Week = b.Week
AND b.Name ='Bob' );
You were on the right track, but just needed to use a left join. Also the NZ function will put a 0 if total is null.
SELECT Totals.Person, Weeks.WeekNo, Nz(Totals.total, 0) as TotalAmount
FROM Weeks LEFT JOIN Totals
ON (Weeks.WeekNo = Totals.weekno and Totals.Person = 'Bob');
EDIT: The query you now have won't even give the results you've shown because you left out the Name field (Which is a bad name for a field because it is a reserved word.). You're still not providing all the information. This query works.
*Another Approach: * Create a separate query on the Totals table having a where clause: Name = 'Bob'
Select Name, WeekNo, Total From Totals Where Name = 'Bob';
and substitute that query for the Totals table in this query.
Select b.Name, w.WeekNo, b.total
from Weeks as w
LEFT JOIN qryJustBob as b
on .WeekNo = b.WeekNo;
I have a table that has 3 cols namely points, project_id and creation_date. every time points are assigned a new record has been made, for example.
points = 20 project_id = 441 creation_date = 04/02/2011 -> Is one record
points = 10 project_id = 600 creation_date = 04/02/2011 -> Is another record
points = 5 project_id = 441 creation_dae = 06/02/2011 -> Is final record
(creation_date is the date on which record is entered and it is achieved by setting the default value to GETDATE())
now the problem is I want to get MAX points grouped by project_id but I also want creation_date to appear with it so I can use it for another purpose, if creation date is repeating its ok and I cannot group by creation_date because if I do so it will skip the points of project with id 600 and its wrong because id 600 is a different project and its only max points are 10 so it should be listed and its only possible if I do the grouping using project_id but then how should I also list creation_date
So far I am using this query to get MAX points of each project
SELECT MAX(points) AS points, project_id
FROM LogiCpsLogs AS LCL
WHERE (writer_id = #writer_id) AND (DATENAME(mm, GETDATE()) = DATENAME(mm, creation_date)) AND (points <> 0)
GROUP BY project_id
writer_id is the ID of writer whose points I want to see, like writer_id = 1, 2 or 3.
This query brings the result of current month only but I would like to list creation_date as well. Please help.
The subquery way
SELECT P.Project_ID, P.Creation_Date, T.Max_Points
FROM Projects P INNER JOIN
(
SELECT Project_ID, MAX(Points) AS Max_Points
FROM Projects
GROUP BY Project_ID
) T
ON P.Project_ID = T.Project_ID
AND P.Points = T.Max_Points
Please see comment: this will give you ALL days where max-points was achieved. If you only just want one, the query will be more complex.
Edits:
Misread requirements. Added additional constraint.
I'll give you sample..
SELECT MAX(POINTS),
PROJECT_ID,
CREATION_DATE
FROM yourtable
GROUP by CREATION_DATE,PROJECT_ID;
This should be what you want, you don't even need a group by or aggravate functions:
SELECT points, project_id, created_date
FROM #T AS LCL
WHERE writer_id = #writer_id AND points <> 0
AND NOT EXISTS (
SELECT TOP 1 1
FROM #T AS T2
WHERE T2.writer_id = #writer_id
AND T2.project_id = LCL.project_id
AND T2.points > LCL.points)
Where #T is your table, also if you want to only show the records where they were the total in general and not the total for just this given #writer_id then remove the restriction T2.writer_id = #writer_id from the inner query
And my code that I used to test:
DECLARE #T TABLE
(
writer_id int,
points int,
project_id int,
created_date datetime
)
INSERT INTO #T VALUES(1, 20, 441, CAST('20110204' AS DATETIME))
INSERT INTO #T VALUES(1, 10, 600, CAST('20110204' AS DATETIME))
INSERT INTO #T VALUES(1, 5, 441, CAST('20110202' AS DATETIME))
INSERT INTO #T VALUES(1, 15, 241, GETDATE())
INSERT INTO #T VALUES(1, 12, 241, GETDATE())
INSERT INTO #T VALUES(2, 12, 241, GETDATE())
SELECT * FROM #T
DECLARE #writer_id int = 1
My results:
Result Set (3 items)
points | project_id | created_date
20 | 441 | 04/02/2011 00:00:00
10 | 600 | 04/02/2011 00:00:00
15 | 241 | 21/09/2011 18:59:31
My solution use CROSS APPLY sub-queries.
For optimal performance I have created an index on project_id (ASC) & points (DESC sorting order) fields.
If you want to see all creation_date values that have maximum points then you can use WITH TIES:
CREATE TABLE dbo.Project
(
project_id INT PRIMARY KEY
,name NVARCHAR(100) NOT NULL
);
CREATE TABLE dbo.ProjectActivity
(
project_activity INT IDENTITY(1,1) PRIMARY KEY
,project_id INT NOT NULL REFERENCES dbo.Project(project_id)
,points INT NOT NULL
,creation_date DATE NOT NULL
);
CREATE INDEX IX_ProjectActivity_project_id_points_creation_date
ON dbo.ProjectActivity(project_id ASC, points DESC)
INCLUDE (creation_date);
GO
INSERT dbo.Project
VALUES (1, 'A'), (2, 'BB'), (3, 'CCC');
INSERT dbo.ProjectActivity (project_id, points, creation_date)
VALUES (1,100,'2011-01-01'), (1,110,'2011-02-02'), (1, 111, '2011-03-03'), (1, 111, '2011-04-04')
,(2, 20, '2011-02-02'), (2, 22, '2011-03-03')
,(3, 2, '2011-03-03');
SELECT p.*, ca.*
FROM dbo.Project p
CROSS APPLY
(
SELECT TOP(1) WITH TIES
pa.points, pa.creation_date
FROM dbo.ProjectActivity pa
WHERE pa.project_id = p.project_id
ORDER BY pa.points DESC
) ca;
DROP TABLE dbo.ProjectActivity;
DROP TABLE dbo.Project;