I have been working on this problem for a while now and I can't figure out what to do.
I have a huge SQL query with multiple joins and it gives me hundreds of thousands of records, which is perfect.
I then realized that I had 200 odd some records in another table that needs to be added to the first.
First table:
Field1 Field2 Field3
john smith 23 Boston
Mohammed Ali 45 New York
Stephanie Johnson 15 Los Angeles
New Table
Field1 OtherField1 OtherField2
Mark Khoury Null null
So I really only need to add the Field1 values from table two to the "bottom" of the first. All of the joins I made in the first query should also work for the values found in table two.
A union won't work because I only have on column to add. I would have to copy-paste the same query from the first table to get "Field2" and Field3" from the values of the second.
What I want it to look like is:
Field1 Field2 Field3
John Smith 23 Boston
Mohammed Ali 45 New York
Stephanie Johnson 15 Los Angeles
Mark Khoury 65 Houston
How can I go about doing this? I don't want to "JOIN" the tables, I want to unite them but only with one column.
Here is an example of what I mean:
Table one was created by doing something like the following:
SELECT table.value1 as Field1, table2.value2 as Field2, table3.value3 as Field3
FROM some_table as table
LEFT OUTER JOIN some_other_table as Table2 ON table.field = table2.field5
LEFT OUTER JOIN a_third_table as table3 ON table2.field2 = table3.field4
but now I have newTable with more Field1 values and I need to add those values to the first table.
I tried this:
SELECT COALESCE(table.value1, NewTable.value) as Field1, table2.value2 as Field2,
table3.value3 as Field3
FROM some_table as table
LEFT OUTER JOIN some_other_table as Table2 ON table.field = table2.field5
LEFT OUTER JOIN a_third_table as table3 ON table2.field2 = table3.field4, newTable
but this is giving me an exponential amount of results, where it should be giving me a few hundred more.
You could add a union with the first column and set the other columns as '' something like,
SELECT Field1, Field2
FROM table1
UNION
SELECT Field1, '' AS Field2
FROM table2
Would that get you what you needed?
Taking your example, would the below get you what you need?
SELECT table.value1 as Field1, table2.value2 as Field2, table3.value3 as Field3
FROM
(SELECT t.value1 as Field1 FROM some_table as t
UNION
SELECT t2.value1 as Field1 FROM some_table2 as t2) as table
LEFT OUTER JOIN some_other_table as Table2 ON table.field1 = table2.field5
LEFT OUTER JOIN a_third_table as table3 ON table2.field2 = table3.field4
Having the same idea as #rhollyer, here is a script that may produce what you're asking for.
DECLARE #Person TABLE
(
PersonID int,
DisplayName nvarchar(50)
)
DECLARE #PersonDetail TABLE
(
PersonID int,
Age int
)
DECLARE #PersonGeoInfo TABLE
(
PersonID int,
City nvarchar(200)
)
DECLARE #LostPersons TABLE
(
LostPersonID int,
DisplayName nvarchar(50),
Irrelevant1 decimal,
Irrelevant2 bit
)
INSERT INTO #Person (PersonID, DisplayName)
VALUES
(1, 'John Smith'),
(2, 'Mohammed Ali'),
(3, 'Stephanie Johnson')
INSERT INTO #PersonDetail(PersonID, Age)
VALUES
(1, 23),
(2, 45),
(3, 15),
(4, 65)
INSERT INTO #PersonGeoInfo(PersonID, City)
VALUES
(1, 'Boston'),
(2, 'New York'),
(3, 'Los Angeles'),
(4, 'Houston')
INSERT INTO #LostPersons(LostPersonID, DisplayName, Irrelevant1, Irrelevant2)
VALUES
(4, 'Mark Khoury', 9.5, 1)
DECLARE #Person TABLE
(
PersonID int,
DisplayName nvarchar(50)
)
DECLARE #PersonDetail TABLE
(
PersonID int,
Age int
)
DECLARE #PersonGeoInfo TABLE
(
PersonID int,
City nvarchar(200)
)
DECLARE #LostPersons TABLE
(
LostPersonID int,
DisplayName nvarchar(50),
Irrelevant1 decimal,
Irrelevant2 bit
)
INSERT INTO #Person (PersonID, DisplayName)
VALUES
(1, 'John Smith'),
(2, 'Mohammed Ali'),
(3, 'Stephanie Johnson')
INSERT INTO #PersonDetail(PersonID, Age)
VALUES
(1, 23),
(2, 45),
(3, 15),
(4, 65)
INSERT INTO #PersonGeoInfo(PersonID, City)
VALUES
(1, 'Boston'),
(2, 'New York'),
(3, 'Los Angeles'),
(4, 'Houston')
INSERT INTO #LostPersons(LostPersonID, DisplayName, Irrelevant1, Irrelevant2)
VALUES
(4, 'Mark Khoury', 9.5, 1)
SELECT P.DisplayName AS Field1, PD.Age AS Field2, PGI.City AS Field3
FROM (
SELECT P.PersonID AS PersonID, P.DisplayName AS DisplayName FROM #Person P
UNION
SELECT LP.LostPersonID AS PersonID, LP.DisplayName AS DisplayName FROM #LostPersons LP) AS P
LEFT OUTER JOIN #PersonDetail PD ON P.PersonID = PD.PersonID
LEFT OUTER JOIN #PersonGeoInfo PGI ON PD.PersonID = PGI.PersonID
Related
I have three tables:
Table tCity
(Id int, City nvarchar(50))
Table tLocation
(Id int, Location nvarchar(50))
Table tCityLocation
(Id int, CityId int, LocationId int)
I would like to generate matrix table like in image below.
If City belongs to location-> in appropriate cell in table, char X will be written down.
I would like to about any sophisticated approach how to reach it. I had issue in similar logic and processed by iteration in cursors with dynamically added column to result set table.
Exists any sophisticated approach instead of cursor and dynamically added column?
Thank you.
It should be something like this:
DECLARE #DymanimcTSQLSatement NVARCHAR(MAX)
,#DynamicColumns NVARCHAR(MAX);
SET #DynamicColumns = STUFF
(
(
SELECT ',' + QUOTENAME([Location])
FROM tLocation
GROUP BY [Location]
ORDER BY [Location]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1
,1
,''
);
SET #DymanimcTSQLSatement = N'
SELECT *
FROM
(
SELECT L.Location
,C.City
,1
FROM tCityLocation CL
INNER JOIN tLocation L
ON CL.[LocationId] = L.[id]
INNER JOIN tCity C
ON CL.[CityId] = C.[id]
) DS (country, city, value)
PIVOT
(
MAX([value]) FOR [country] IN (' + #DynamicColumns +')
) PVT;';
EXECUTE sp_executesql #DymanimcTSQLSatement;
and here is the data I have used:
-- Creating Table tCity
CREATE TABLE tCity (
Id int,
City nvarchar(50)
);
-- Populating Table tCity with 10 records
INSERT INTO tCity (Id, City) VALUES (1, 'New York');
INSERT INTO tCity (Id, City) VALUES (2, 'Los Angeles');
INSERT INTO tCity (Id, City) VALUES (3, 'Paris');
INSERT INTO tCity (Id, City) VALUES (4, 'Tokyo');
INSERT INTO tCity (Id, City) VALUES (5, 'Sydney');
INSERT INTO tCity (Id, City) VALUES (6, 'Philadelphia');
INSERT INTO tCity (Id, City) VALUES (7, 'Rio de Janeiro');
INSERT INTO tCity (Id, City) VALUES (8, 'Cape Town');
INSERT INTO tCity (Id, City) VALUES (9, 'Beijing');
INSERT INTO tCity (Id, City) VALUES (10, 'Singapore');
-- Creating Table tLocation
CREATE TABLE tLocation (
Id int,
Location nvarchar(50)
);
-- Populating Table tLocation with 10 records
INSERT INTO tLocation (Id, Location) VALUES (1, 'United States');
INSERT INTO tLocation (Id, Location) VALUES (2, 'United States');
INSERT INTO tLocation (Id, Location) VALUES (3, 'France');
INSERT INTO tLocation (Id, Location) VALUES (4, 'Japan');
INSERT INTO tLocation (Id, Location) VALUES (5, 'Australia');
INSERT INTO tLocation (Id, Location) VALUES (6, 'United States');
INSERT INTO tLocation (Id, Location) VALUES (7, 'Brazil');
INSERT INTO tLocation (Id, Location) VALUES (8, 'South Africa');
INSERT INTO tLocation (Id, Location) VALUES (9, 'China');
INSERT INTO tLocation (Id, Location) VALUES (10, 'Singapore');
-- Creating Table tCityLocation
CREATE TABLE tCityLocation (
Id int,
CityId int,
LocationId int
);
INSERT INTO tCityLocation (Id, CityId, LocationId)
SELECT
ROW_NUMBER() OVER (ORDER BY tCity.Id),
tCity.Id, tLocation.Id
FROM tCity
JOIN tLocation
ON tCity.Id = tLocation.Id;
The idea is to built a dynamic PIVOT, where the PIVOT columns are the unique countries (in your case locations). If your SQL Server supports STRING_AGG, you can do this in different way:
SELECT #DynamicColumns = STRING_AGG(CAST(QUOTENAME([Location]) AS VARCHAR(MAX)), ',') WITHIN GROUP (ORDER BY [Location])
FROM
(
SELECT DISTINCT [Location]
FROM tLocation
) DS ([Location]);
Better way for answer to this question use pivot
First I get list Location of table Location
Second I get list Location of table tLocation For use in select
Because I need to use ISNULL for replace null with space
after use pivot for get result
result :Rows include List City and Column include Location
city
Asia
CRezah Rep.
Europe
France
GB
Germany
Japan
N.America
USA
NY
x
x
Prague
x
x
x
London
x
x
Tokio
x
x
--Get List Columns for Pivot
DECLARE #cols AS NVARCHAR(MAX),#scols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(Location) from tLocation
FOR XML PATH(''), TYPE ).value('.', 'NVARCHAR(MAX)') ,1,1,'' )
--can to use below Code for Replace null with space
select #scols = STUFF((SELECT distinct ',ISNULL(' + QUOTENAME(Location) +','' '') as '+ QUOTENAME(Location)
from tLocation FOR XML PATH(''), TYPE ).value('.', 'NVARCHAR(MAX)') ,1,1,'')
set #query = 'SELECT city ,'+#scols+' from
(
select cl.CityId,c.City,l.Location,''X'' as Value from tCityLocation cl
inner join tCity c on cl.CityId=c.Id
inner join tLocation l on cl.LocationId=l.Id
) x
pivot
(
max( value) for Location in (' + #cols + ')
) p
order by CityId
'
execute(#query)
You can to insert the basic data with the following codes
create table tCity(Id int, City nvarchar(50))
create table tLocation(Id int, Location nvarchar(50))
create table tCityLocation(Id int, CityId int, LocationId int)
insert into tCity
(id,City)
select 1 as id,'NY' union all select 2 as id,'Prague'
union all select 3 as id,'London' union all select 4 as id,'Tokio'
insert into tLocation (id,Location)
select 1,'USA' union all select 2,'CRezah Rep.' union all select 3,'France' union all select 4,'GB'
union all select 5,'Germany' union all select 6,'Europe' union all select 7,'N.America'
union all select 9,'Asia' union all select 10,'Japan'
insert into tCityLocation
(id,CityId,LocationId)
select 1,1,1 union all select 2,1,7 union all select 3,2,2 union all select 4,2,6 union all select 5,3,4 union all
select 6,3,6 union all select 7,4,9 union all select 8,4,10
The question is, how do I write a statement that would return all customers with NO Orders TODAY using sql join?
Tables : tbl_member ,tbl_order
tbl_member consist of id,name,
tbl_order consist of id, date, foodOrdered
If you left join, the select where the table on the right is nulkl, it limits to the rows that DO NOT meet the join condition:
select t1.*
from tbl_member t1
left join tbl_member t2
on t1.id = t2.id -- assuming that t2.id relates to t1.id
and t2.date = current_date() -- today's date in mysql
where t2.id is null
Assuming tbl_order date is a datetime (it probably should be) for sql server you could use something like:
declare #tbl_member table
(
id int,
fullname varchar(50)
)
declare #tbl_order table
(
id int,
orderdate datetime,
foodOrdered varchar(50)
)
INSERT INTO #tbl_member VALUES (1, 'George Washington')
INSERT INTO #tbl_member VALUES (2, 'Abraham Lincoln')
INSERT INTO #tbl_member VALUES (3, 'Mickey Mouse')
INSERT INTO #tbl_member VALUES (3, 'Donald Duck')
INSERT INTO #tbl_order VALUES (1, '2017-07-01 13:00:00', 'Fish and Chips')
INSERT INTO #tbl_order VALUES (2, '2017-07-03 08:00:00', 'Full English')
INSERT INTO #tbl_order VALUES (3, '2017-07-25 08:00:00', 'Veggie Burger')
INSERT INTO #tbl_order VALUES (3, '2017-07-25 12:00:00', 'Bangers and Mash')
SELECT id, fullname FROM #tbl_member WHERE id NOT IN
(SELECT id FROM #tbl_order
WHERE CAST(orderDate as date) = CAST(GETDATE() as Date))
It helps if you specify what flavour database you are using as the syntax is often subtly different.
In SQL Server 2008 I have a table People (Id, Gender, Name).
Gender is either Male or Female. There can be many people with the same name.
I would like to write a query that displays for each gender the top 2 names
by count and their count, like this:
Male Female
Adam 23 Rose 34
Max 20 Jenny 15
I think that PIVOT might be used but all the examples I have seen display only one column for each header.
Here is an example on SQL Fiddle -- http://sqlfiddle.com/#!3/b3477/1
This uses an couple of common table expressions to separate the genders.
create table People
(
Id int,
Gender varchar(50),
Name varchar(50)
)
;
insert into People values (1, 'Male', 'Bob');
insert into People values (2, 'Male', 'Bob');
insert into People values (3, 'Male', 'Bill');
insert into People values (4, 'Male', 'Chuck');
insert into People values (5, 'Female', 'Anne');
insert into People values (6, 'Female', 'Anne');
insert into People values (7, 'Female', 'Bobbi');
insert into People values (8, 'Female', 'Jane');
with cteMale as
(
select Name as 'MaleName', Count(*) as Num, ROW_NUMBER() over(order by count(*) desc, Name) RowNum
from People
where Gender = 'Male'
group by Name
)
,
cteFemale as
(
select top 2 Name as 'FemaleName', Count(*) as Num, ROW_NUMBER() over(order by count(*) desc, Name) RowNum
from People
where Gender = 'Female'
group by Name
)
select a.MaleName, a.Num as MaleNum, b.femaleName, b.Num as FemaleNum
from cteMale a
join cteFemale b on
a.RowNum = b.RowNum
where a.RowNum <= 2
Use a windowing function. Below is a complete solution using a temporary table #people.
-- use temp db
use tempdb;
go
-- drop test table
--drop table #people;
--go
-- create test table
create table #people (my_id int, my_gender char(1), my_name varchar(25));
go
-- clear test table
delete from #people;
-- three count
insert into #people values
(23, 'M', 'Adam'),
(34, 'F', 'Rose');
go 3
-- two count
insert into #people values
(20, 'M', 'Max'),
(15, 'F', 'Jenny');
go 2
-- one count
insert into #people values
(20, 'M', 'John'),
(15, 'F', 'Julie');
go
-- grab top two by gender
;
with cte_Get_Top_Two as
(
select ROW_NUMBER() OVER(PARTITION BY my_gender ORDER BY count() DESC) AS my_window,
my_gender, my_name, count() as total
from #people
group by my_gender, my_name
)
select * from cte_Get_Top_Two where my_window in (1, 2)
go
Here is the output.
PS: You can drop my_id from the table since it does not relate to your problem but does not change solution.
This is my table:
CREATE TABLE [Test].[dbo].[MyTest]
(
[Id] BIGINT NOT NULL,
[FId] BIGINT NOT NULL,
[SId] BIGINT NOT NULL
);
And some data:
INSERT INTO [Test].[dbo].[MyTest] ([Id], [FId], [SId]) VALUES (1, 100, 11);
INSERT INTO [Test].[dbo].[MyTest] ([Id], [FId], [SId]) VALUES (2, 200, 12);
INSERT INTO [Test].[dbo].[MyTest] ([Id], [FId], [SId]) VALUES (3, 100, 21);
INSERT INTO [Test].[dbo].[MyTest] ([Id], [FId], [SId]) VALUES (4, 200, 22);
INSERT INTO [Test].[dbo].[MyTest] ([Id], [FId], [SId]) VALUES (5, 300, 13);
INSERT INTO [Test].[dbo].[MyTest] ([Id], [FId], [SId]) VALUES (6, 200, 12);
So I need 2 select query,
First Select FId, SId that like a distinct in both column so the result is:
100, 11
200, 12
100, 21
200, 22
300, 13
As you see the values of 200, 12 returned once.
Second query is the Id's of that columns whose duplicated in both FId, SId So the result is:
2
6
Does any one have any idea about it?
Standard SQL
SELECT
M.ID
FROM
( -- note all duplicate FID, SID pairs
SELECT FID, SID
FROM MyTable
GROUP BY FID, SID
HAVING COUNT(*) > 1
) T
JOIN -- back onto main table using these duplicate FID, SID pairs
MyTable M ON T.FID = M.FID AND T.SID = M.SID
Using windowing:
SELECT
T.ID
FROM
(
SELECT
ID,
COUNT(*) OVER (PARTITION BY FID, SID) AS CountPerPair
FROM
MyTable
) T
WHERE
T.CountPerPair > 1
First query:
SELECT DISTINCT Fid,SId
FROM MyTest
Second query:
SELECT DISTINCT a1.Id
FROM MyTest a1 INNER JOIN MyTest a2
ON a1.Fid = a2.Fid
AND a1.SId = a2.SId
AND a1.Id <> a2.Id
I cannot test them, but I think they should work...
first:
select distinct FId,SId from [Test].[dbo].[MyTest]
second query
select distinct t.Id
from [Test].[dbo].[MyTest] t
inner join [Test].[dbo].[MyTest] t2
on t.Id<>t2.Id and t.FId=t2.FId and t.SId=t2.SId
Part 1 is as mentioned above distinct.
This will resolve second part.
select id from [Test].[dbo].[MyTest] a
where exists(select 1 from [Test].[dbo].[MyTest] where a.[SId] = [SId] and a.[FId] = [FId] and a.id <> id)
I have a table like this:
CREATE TABLE #TEMP(id int, name varchar(100))
INSERT INTO #TEMP VALUES(1, 'John')
INSERT INTO #TEMP VALUES(1, 'Adam')
INSERT INTO #TEMP VALUES(1, 'Robert')
INSERT INTO #TEMP VALUES(1, 'Copper')
INSERT INTO #TEMP VALUES(1, 'Jumbo')
INSERT INTO #TEMP VALUES(2, 'Jill')
INSERT INTO #TEMP VALUES(2, 'Rocky')
INSERT INTO #TEMP VALUES(2, 'Jack')
INSERT INTO #TEMP VALUES(2, 'Lisa')
INSERT INTO #TEMP VALUES(3, 'Amy')
SELECT *
FROM #TEMP
DROP TABLE #TEMP
I am trying to remove all but some records for those that have more than 3 names with the same id. Therefore, I am trying to get something like this:
id name
1 Adam
1 Copper
1 John
2 Jill
2 Jack
2 Lisa
3 Amy
I am not understanding how to write this query. I have gotten to the extent of preserving one record but not a threshold of records:
;WITH FILTER AS
(
SELECT id
FROM #TEMP
GROUP BY id
HAVING COUNT(id) >=3
)
SELECT id, MAX(name)
FROM #TEMP
WHERE id IN (SELECT * FROM FILTER)
GROUP BY id
UNION
SELECT id, name
FROM #TEMP
WHERE id NOT IN (SELECT * FROM FILTER)
Gives me:
1 Robert
2 Rocky
3 Amy
Any suggestions? Oh by the way, I don't care what records are preserved while merging.
You can do it using CTE
CREATE TABLE #TEMP(id int, name varchar(100))
INSERT INTO #TEMP VALUES(1, 'John')
INSERT INTO #TEMP VALUES(1, 'Adam')
INSERT INTO #TEMP VALUES(1, 'Robert')
INSERT INTO #TEMP VALUES(1, 'Copper')
INSERT INTO #TEMP VALUES(1, 'Jumbo')
INSERT INTO #TEMP VALUES(2, 'Jill')
INSERT INTO #TEMP VALUES(2, 'Rocky')
INSERT INTO #TEMP VALUES(2, 'Jack')
INSERT INTO #TEMP VALUES(2, 'Lisa')
INSERT INTO #TEMP VALUES(3, 'Amy')
SELECT *
FROM #TEMP;
WITH CTE(N) AS
(
SELECT ROW_NUMBER() OVER(PARTITION BY id ORDER BY id)
FROM #Temp
)
DELETE CTE WHERE N>3;
SELECT *
FROM #TEMP;
DROP TABLE #TEMP
I will change your select like this (not tested)
select name from #temp group by name having count(id) > 3
then you can implement your query in a delete statement using your select as a where clause
in inner query you can use row_number function over (partition by id)
and then in outer query you have to give condition like below
select id,name from (
SELECT id,name, row_number() over (partition by id order by 1) count_id FROM #test
group by id, name )
where count_id <=3
If i got your question right, you need to get rows when id occurrence 3 or more times
select t1.name,t1.id from tbl1 t1
inner join tbl1 t2 on t1.id = t2.id
group by t1.name, t1.id
having count(t1.id) > 2