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I have a query
SELECT name,
COUNT (name)
FROM employee
WHERE LOCATION IS LIKE (%%NY%%)
GROUP BY name
name coount
alex m 10
alex.m 5
alex.ma 1
alex 500
How can I combine all the alex's into just one Alex
so that I get the output as
name count
alex 516
I need something like if it matches alex%% then consider it as alex
Here is your dynamic solution on the below for SQL Server.
First, let's see the sample data I worked on:
create table #temp
(name varchar(20))
insert into #temp values ('jack')
insert into #temp values ('jack rx')
insert into #temp values ('jack.a')
insert into #temp values ('jack.bb')
insert into #temp values ('jack.xy')
insert into #temp values ('brandon.12')
insert into #temp values ('brandon')
insert into #temp values ('brandon.k7s')
insert into #temp values ('brandon.bg')
insert into #temp values ('Jonathan')
Then, we need to employ string operators:
;with cte (name, charin, charin_space) as
(
select name,CHARINDEX('.',name,0) as charin, CHARINDEX(' ',name,0) as charin_space
from #temp
)
select name,(case when charin = 0 and charin_space = 0 then name
when charin = 0 and charin_space <> 0 then SUBSTRING(name,0,charin_space)
when charin <> 0 and charin_space = 0 then SUBSTRING(name,0,charin)
end) as mainName
into #temp2
from cte
The temp table #temp2 has the names only like jack, brandon and jonathan. All we need is to connect those tables now and use group by like:
select t2.MainName,COUNT(t2.MainName)
from #temp t1
inner join #temp2 t2 on t1.name = t2.name
group by t2.mainName
I hope it helps!
You need to get part of the name. But this only work for SQL Server. You don't specify which dbms you are using. The query works with your example, but it will also pick up Alexa, Alexander, ...
SELECT LEFT(name, 4),
SUM(coount)
FROM employee
WHERE LOCATION IS LIKE (%%NY%%)
GROUP BY LEFT(name, 4)
I am looking for a query which fetches me the data that is different compared to the previous row,
A sample code (with table creation and data)
create table #temp
(id int, eid int, name char(10),estid int, ecid int, epid int, etc char(5) )
insert into #temp values (1,1,'a',1,1,1,'a')
insert into #temp values (2,1,'a',1,1,1,'a')
insert into #temp values (3,1,'a',2,1,1,'a')
insert into #temp values (4,1,'a',1,1,1,'a')
insert into #temp values (5,1,'a',1,1,1,'a')
insert into #temp values (6,1,'a',1,2,1,'a')
insert into #temp values (7,1,'a',1,1,1,'a')
insert into #temp values (8,1,'a',2,1,1,'a')
insert into #temp values (9,1,'a',1,1,1,'a')
insert into #temp values (10,1,'a',1,1,1,'a')
insert into #temp values (11,2,'a',1,1,1,'a')
insert into #temp values (12,2,'a',1,1,1,'a')
insert into #temp values (13,2,'a',2,1,1,'a')
insert into #temp values (14,2,'a',1,1,1,'a')
insert into #temp values (15,2,'a',1,1,1,'a')
insert into #temp values (16,2,'a',1,2,1,'a')
insert into #temp values (17,2,'a',1,1,1,'a')
insert into #temp values (18,2,'a',2,1,1,'a')
insert into #temp values (19,2,'a',1,1,1,'a')
insert into #temp values (20,2,'a',1,1,1,'a')
I tried with some ways of getting the data as the way that i expected
SELECT * INTo #Temp_Final
FROM #temp
WHERE #temp.%%physloc%%
NOT IN (SELECT Min(b.%%physloc%%)
FROM #temp b
GROUP BY eid,name,estid,ecid,epid,etc)
ORDER BY id
SELECT * FROM #temp WHERE id not in (SELECT id FROM #Temp_Final) ORDER BY id
But i wasn't getting the result as i expected...
This is how the result needs to be
select * from #temp where id in (1,3,4,6,7,8,9,11,13,14,16,17,18,19)
You can do this with a simple self-join and appropriate comparison:
select t.*
from #temp t left outer join
#temp tprev
on t.id = tprev.id + 1
where tprev.id is null or
t.name <> tprev.name or
t.estid <> tprev.estid or
t.ecid <> tprev.ecid or
t.epid <> tprev.epid or
t.etc <> tprev.etc;
This assumes that the ids are sequential with no gaps. If the ids are not, you can get the previous id using a correlated subquery or the lag() function.
Your title says "delete" but the question seems to just want the list of such rows. You can phrase this as a delete query if you need to.
For SQL Server 2012 (SQL Fiddle)
WITH CTE
AS (SELECT *,
LAG(eid) OVER (ORDER BY id) AS prev_eid,
LAG(name) OVER (ORDER BY id) AS prev_name,
LAG(estid) OVER (ORDER BY id) AS prev_estid,
LAG(ecid) OVER (ORDER BY id) AS prev_ecid,
LAG(epid) OVER (ORDER BY id) AS prev_epid,
LAG(etc) OVER (ORDER BY id) AS prev_etc
FROM #temp)
DELETE FROM CTE
WHERE EXISTS (SELECT eid,
name,
estid,
ecid,
epid,
etc
INTERSECT
SELECT prev_eid,
prev_name,
prev_estid,
prev_ecid,
prev_epid,
prev_etc)
select
t.id,
t.eid,
t.name,
t.estid,
t.ecid,
t.epid,
t.etc
from #temp t
left join #temp d
on d.id = t.id-1
and d.eid = t.eid
and d.name = t.name
and d.estid = t.estid
and d.ecid = t.ecid
and d.epid = t.epid
and d.etc = t.etc
where d.id is null
I need to display a query output in a horizontal manner. I have some example data
create table TestTable (id number, name varchar2(10))
insert into TestTable values (1, 'John')
insert into TestTable values (2, 'Mckensy')
insert into TestTable values (3, 'Valneech')
insert into TestTable values (4, 'Zeebra')
commit
select * from TestTable
This gets the output in a vertical view.
ID Name
==========
1 John
2 Mckensy
3 Valneech
4 Zeebra
However, I need to display it horizontally.
ID 1 2 3 4
Name John Mckensy Valneech Zeebra
How can one do this?
To pivot, you should use the pivot clause of the select statement:
select *
from testtable
pivot ( max(name)
for id in (1,2,3,4)
)
This is not particularly pretty to do in SQL, so you should consider carefully whether this is what you want to do. I normally use Oracle Base for pivoting examples but there are many out there.
Here's a little SQL Fiddle to demonstrate.
Maybe it will help you:
select 'id', LISTAGG(id, ' ') WITHIN GROUP (ORDER BY name)
from testtable
union
select 'name', LISTAGG(name, ' ') WITHIN GROUP (ORDER BY name)
from testtable
EDIT:
or with pivot:
create table TestTable2 (id varchar2(30), name varchar2(10));
insert into TestTable2 values ('id', 'name');
insert into TestTable2
select cast(id as varchar2(30)) as id , name
from testtable
select *
from testtable2
pivot ( max(name)
for id in ('id',1,2,3,4)
)
PIVOT operator is what you are looking for.
I have a simple problem , Although i believe its simple , am not able to figure out the same.
Consider i have the below table with exactly same data as given below :
CREATE TABLE #temp
(
link varchar(255),
number INT,
fname varchar(255)
)
insert into #temp VALUES ('abc',1,'f1')
insert into #temp VALUES ('abc',2,'f2')
insert into #temp VALUES ('abc',3,'f3')
insert into #temp VALUES ('abc',4,'f6')
insert into #temp VALUES ('abc',10,'f100')
insert into #temp VALUES ('abe',-1,'f0')
insert into #temp VALUES ('abe',1,'f1')
insert into #temp VALUES ('abe',2,'f2')
insert into #temp VALUES ('abe',3,'f3')
insert into #temp VALUES ('abe',4,'f6')
insert into #temp VALUES ('abe',20,'f200')
insert into #temp VALUES ('cbe',-1,'f0')
insert into #temp VALUES ('cbe',1,'f1')
insert into #temp VALUES ('cbe',2,'f2')
insert into #temp VALUES ('cbe',3,'f3')
Now for a given link , i need to get the max 'number' and the corresponding 'fname' which has the max 'number' for the given 'link'.
1)Ex : if link is 'abc' , output should be
abc, 10, f100
2)Ex : if link if 'abe' , Output should be
abe, 20, f200
3)Now link can be also given as a pattern , like (link like 'ab%') , so output should be
abc, 10, f100
abe, 20, f200
4)if (link like 'cb%') , so output should be
cbe, 3, f3
Any help in writing this group by query. I have a solution using CAST and string concat like below , but that seems to be in-efficient.
select link,number,fname from #temp
where link like 'ab%' and link+'_'+CAST(number AS varchar(255))
in (select link+'_'+CAST(MAX(number) AS varchar(255)) from #temp
group by link)
Thanks..
Using a self join:
SELECT x.link,
x.number,
x.fname
FROM #temp x
JOIN (SELECT t.link,
MAX(t.number) AS max_number
FROM #temp t
GROUP BY t.link) y ON y.link = x.link
AND y.max_number = x.number
Using a CTE and ROW_NUMBER (SQL Server 2005+):
WITH cte AS (
SELECT x.link,
x.number,
x.fname,
ROW_NUMBER() OVER(PARTITION BY x.link
ORDER BY x.number DESC) rank
FROM #temp x)
SELECT c.link,
c.number,
c.fname
FROM cte c
WHERE c.rank = 1
I am trying to select some fields from one table and insert them into an existing table from a stored procedure. Here is what I am trying:
SELECT col1, col2
INTO dbo.TableTwo
FROM dbo.TableOne
WHERE col3 LIKE #search_key
I think SELECT ... INTO ... is for temporary tables which is why I get an error that dbo.TableTwo already exists.
How can I insert multiple rows from dbo.TableOne into dbo.TableTwo?
SELECT ... INTO ... only works if the table specified in the INTO clause does not exist - otherwise, you have to use:
INSERT INTO dbo.TABLETWO
SELECT col1, col2
FROM dbo.TABLEONE
WHERE col3 LIKE #search_key
This assumes there's only two columns in dbo.TABLETWO - you need to specify the columns otherwise:
INSERT INTO dbo.TABLETWO
(col1, col2)
SELECT col1, col2
FROM dbo.TABLEONE
WHERE col3 LIKE #search_key
There are two different ways to implement inserting data from one table to another table.
For Existing Table - INSERT INTO SELECT
This method is used when the table is already created in the database earlier and the data is to be inserted into this table from another table. If columns listed in insert clause and select clause are same, they are not required to list them. It is good practice to always list them for readability and scalability purpose.
----Create testable
CREATE TABLE TestTable (FirstName VARCHAR(100), LastName VARCHAR(100))
----INSERT INTO TestTable using SELECT
INSERT INTO TestTable (FirstName, LastName)
SELECT FirstName, LastName
FROM Person.Contact
WHERE EmailPromotion = 2
----Verify that Data in TestTable
SELECT FirstName, LastName
FROM TestTable
----Clean Up Database
DROP TABLE TestTable
For Non-Existing Table - SELECT INTO
This method is used when the table is not created earlier and needs to be created when data from one table is to be inserted into the newly created table from another table. The new table is created with the same data types as selected columns.
----Create a new table and insert into table using SELECT INSERT
SELECT FirstName, LastName
INTO TestTable
FROM Person.Contact
WHERE EmailPromotion = 2
----Verify that Data in TestTable
SELECT FirstName, LastName
FROM TestTable
----Clean Up Database
DROP TABLE TestTable
Ref 1 2
It would work as given below :
insert into Gengl_Del Select Tdate,DocNo,Book,GlCode,OpGlcode,Amt,Narration
from Gengl where BOOK='" & lblBook.Caption & "' AND DocNO=" & txtVno.Text & ""
If the destination table does exist but you don't want to specify column names:
DECLARE #COLUMN_LIST NVARCHAR(MAX);
DECLARE #SQL_INSERT NVARCHAR(MAX);
SET #COLUMN_LIST = (SELECT DISTINCT
SUBSTRING(
(
SELECT ', table1.' + SYSCOL1.name AS [text()]
FROM sys.columns SYSCOL1
WHERE SYSCOL1.object_id = SYSCOL2.object_id and SYSCOL1.is_identity <> 1
ORDER BY SYSCOL1.object_id
FOR XML PATH ('')
), 2, 1000)
FROM
sys.columns SYSCOL2
WHERE
SYSCOL2.object_id = object_id('dbo.TableOne') )
SET #SQL_INSERT = 'INSERT INTO dbo.TableTwo SELECT ' + #COLUMN_LIST + ' FROM dbo.TableOne table1 WHERE col3 LIKE ' + #search_key
EXEC sp_executesql #SQL_INSERT
select *
into existing table database..existingtable
from database..othertables....
If you have used select * into tablename from other tablenames already, next time, to append, you say select * into existing table tablename from other tablenames
IF you want a identity column in new table created with select into then it can be done as below.
SELECT
ID = IDENTITY(INT, 1, 1),
name
INTO table2
FROM table1
If you want to insert into Table_A, from Table_B, only if the column is not in Table_A, then use the following:
BEGIN TRANSACTION
INSERT INTO dbo.Table_A (Column_1)
SELECT DISTINCT Some_Column AS Column_1
FROM dbo.Table_B
WHERE Some_Column
NOT IN (SELECT DISTINCT GroupId
FROM dbo.Table_A)
COMMIT