String End with Character - sql

I have a table in SQL Server 2012 with 2 million records. I am trying to find all those records which is not ending with character as in example.
Code:
DECLARE #TABLE TABLE
(
ID INT IDENTITY(1,1),
MYVAL VARCHAR(50)
)
INSERT #TABLE
VALUES ('4639016:42:'),
('3279022:42:'),
('4605907:42:XY'),
('4190078:42:ZS')
Code I used:
SELECT *
FROM #TABLE
WHERE MYVAL NOT LIKE '%:[A-Z]'
but it's not returning the correct result.
I also want to pull all those records only which are ending with ':'
Can someone please share your expertise?
Thanks

You could use RIGHT to get last character:
SELECT *
FROM #TABLE
WHERE RIGHT(MYVAL,1) != ':';
-- RIGHT(MYVAL,1) LIKE '[A-Z]'

Related

Get every string before character in SQL Server

I got two record in table which is as below -:
1.123-21
2.123-21-30
How to query for all string before certain place of character . Below shown expected output
1. 123-21 -> 123
2. 123-21-30 ->123-21
How can I solve it?
DECLARE #T TABLE (Vals VARCHAR(100))
INSERT INTO #T(Vals) VALUES ('123-21') , ('123-21-30')
SELECT LEFT(Vals, LEN(Vals) - CHARINDEX('-', REVERSE(Vals)) )
FROM #T

'LIKE' issues with FLOAT: SQL query needed to find values >= 4 decimal places

I have a conundrum....
There is a table with one NVARCHAR(50) Float column that has many rows with many numbers of various decimal lengths:
'3304.063'
'3304.0625'
'39.53'
'39.2'
I need to write a query to find only numbers with decimal places >= 4
First the query I wrote was:
SELECT
Column
FROM Tablename
WHERE Column LIKE '%.[0-9][0-9]%'
The above code finds all numbers with decimal places >= 2:
'3304.063'
'3304.0625'
'39.53'
Perfect! Now, I just need to increase the [0-9] by 2...
SELECT
Column
FROM Tablename
WHERE Column LIKE '%.[0-9][0-9][0-9][0-9]%'
this returned nothing! What?
Does anyone have an explanation as to what went wrong as well and/or a possible solution? I'm kind of stumped and my hunch is that it is some sort of 'LIKE' limitation..
Any help would be appreciated!
Thanks.
After your edit, you stated you are using FLOAT which is an approximate value stored as 4 or 8 bytes, or 7 or 15 digits of precision. The documents explicitly state that not all values in the data type range can be represented exactly. It also states you can use the STR() function when converting it which you'll need to get your formatting right. Here is how:
declare #table table (columnName float)
insert into #table
values
('3304.063'),
('3304.0625'),
('39.53'),
('39.2')
--see the conversion
select * , str(columnName,20,4)
from #table
--now use it in a where clause.
--Return all values where the last digit isn't 0 from STR() the conversion
select *
from #table
where right(str(columnName,20,4),1) != 0
OLD ANSWER
Your LIKE statement would do it, and here is another way just to show they both work.
declare #table table (columnName varchar(64))
insert into #table
values
('3304.063'),
('3304.0625'),
('39.53'),
('39.2')
select *
from #table
where len(right(columnName,len(columnName) - charindex('.',columnName))) >= 4
select *
from #table
where columnName like '%.[0-9][0-9][0-9][0-9]%'
One thing that could be causing this is a space in the number somewhere... since you said the column type was VARCHAR this is a possibility, and could be avoided by storing the value as DECIMAL
declare #table table (columnName varchar(64))
insert into #table
values
('3304.063'),
('3304. 0625'), --notice the space here
('39.53'),
('39.2')
--this would return nothing
select *
from #table
where columnName like '%.[0-9][0-9][0-9][0-9]%'
How to find out if this is the case?
select *
from #table
where columnName like '% %'
Or, anything but numbers and decimals:
select *
from #table
where columnName like '%[^.0-9]%'
The following is working fine for me:
declare #tab table (val varchar(50))
insert into #tab
select '3304.063'
union select '3304.0625'
union select '39.53'
union select '39.2'
select * from #tab
where val like '%.[0-9][0-9][0-9][0-9]%'
Assuming your table only has numerical data, you can cast them to decimal and then compare:
SELECT COLUMN
FROM tablename
WHERE CAST(COLUMN AS DECIMAL(19,4)) <> CAST(COLUMN AS DECIMAL(19,3))
You'd want to test the performance of this against using the character data type solutions that others have already suggested.
You can use REVERSE:
declare #vals table ([Val] nvarchar(50))
insert into #vals values ('3304.063'), ('3304.0625'), ('39.53'), ('39.2')
select [Val]
from #Vals
where charindex('.',reverse([Val]))>4

A query that will search for the highest numeric value in a table where the column has an alphanumeric sequence

I have a column (XID) that contains a varchar(20) sequence in the following format: xxxzzzzzz Where X is any letter or a dash and zzzzz is a number.
I want to write a query that will strip the xxx and evaluate and return which is the highest number in the table column.
For example:
aaa1234
bac8123
g-2391
After, I would get the result of 8123
Thanks!
A bit painful in SQL Server, but possible. Here is one method that assumes that only digits appear after the first digit (which you actually specify as being the case):
select max(cast(stuff(col, 1, patindex('%[0-9]%', col) - 1, '') as float))
from t;
Note: if the last four characters are always the number you are looking for, this is probably easier to do with right():
select max(right(col, 4))
Using Numbers table
declare #string varchar(max)
set #string='abc1234'
select top 1 substring(#string,n,len(#string))
from
numbers
where n<=len(#string)
and isnumeric(substring(#string,n,1))=1
order by n
Output:1234
Using PATINDEX you can achieve it, like this -
DECLARE #test table
(
id INT,
player varchar(100)
)
INSERT #test
VALUES (1,'aaa1234'),
(2,'bac8123'),
(3,'g-2391')
SELECT
MAX(CONVERT(INT, LTRIM(SUBSTRING(player, PATINDEX('%[0-9]%', player), LEN(player)))))
FROM #test
Try:
Select MAX(RIGHT(XID,17))
from table
You can also use this method
CREATE TABLE #Tmp
(
XID VARCHAR(20)
)
INSERT INTO #Tmp(XID)
VALUES ('aaa1234'), ('bac8123'), ('g-2391')
SELECT MAX(RIGHT(XID, LEN(XID) - 3))
FROM #Tmp

comparable varchar "arrays" in seperate fields but on same row

I have a table that looks like this:
memberno(int)|member_mouth (varchar)|Inspected_Date (varchar)
-----------------------------------------------------------------------------
12 |'1;2;3;4;5;6;7' |'12-01-01;12-02-02;12-03-03' [7 members]
So by looking at how this table has been structured (poorly yes)
The values in the member_mouth field is a string that is delimited by a ";"
The values in the Inspected_Date field is a string that is delimited by a ";"
So - for each delimited value in member_mouth there is an equal inspected_date value delimited inside the string
This table has about 4Mil records, we have an application written in C# that normalizes the data and stores it in a separate table. The problem now is because of the size of the table it takes a long time for this to process. (the example above is nothing compared to the actual table, it's much larger and has a couple of those string "array" fields)
My question is this: What would be the best and fastest way to normilize this data in MSSQL proc? let MSSQL do the work and not a C# app?
The best way will be SQL itself. The way followed in the below code is something which worked for me well with 2-3 lakhs of data.
I am not sure about the below code when it comes to 4 Million, but may help.
Declare #table table
(memberno int, member_mouth varchar(100),Inspected_Date varchar(400))
Insert into #table Values
(12,'1;2;3;4;5;6;7','12-01-01;12-02-02;12-03-03;12-04-04;12-05-05;12-07-07;12-08-08'),
(14,'1','12-01-01'),
(19,'1;5;8;9;10;11;19','12-01-01;12-02-02;12-03-03;12-04-04;12-07-07;12-10-10;12-12-12')
Declare #tableDest table
(memberno int, member_mouth varchar(100),Inspected_Date varchar(400))
The table will be like.
Select * from #table
See the code from here.
------------------------------------------
Declare #max_len int,
#count int = 1
Set #max_len = (Select max(Len(member_mouth) - len(Replace(member_mouth,';','')) + 1)
From #table)
While #count <= #max_len
begin
Insert into #tableDest
Select memberno,
SUBSTRING(member_mouth,1,charindex(';',member_mouth)-1),
SUBSTRING(Inspected_Date,1,charindex(';',Inspected_Date)-1)
from #table
Where charindex(';',member_mouth) > 0
union
Select memberno,
member_mouth,
Inspected_Date
from #table
Where charindex(';',member_mouth) = 0
Delete from #table
Where charindex(';',member_mouth) = 0
Update #table
Set member_mouth = SUBSTRING(member_mouth,charindex(';',member_mouth)+1,len(member_mouth)),
Inspected_Date = SUBSTRING(Inspected_Date,charindex(';',Inspected_Date)+1,len(Inspected_Date))
Where charindex(';',member_mouth) > 0
Set #count = #count + 1
End
------------------------------------------
Select *
from #tableDest
Order By memberno
------------------------------------------
Result.
You can take a reference here.
Splitting delimited values in a SQL column into multiple rows
Do it on SQl server side, if possible a SSIS package would be great.

Varchar to Number in sql

i have written a query in which i am fetching an amount which is a number like '50,000','80,000'.
select Price_amount
from per_prices
As these values contain ',' these are considered to be varchar.Requirement is to to print these as 'number' with ','
that is how can '50,000' be considered as number and not varchar
If a value has anything other than numbers in it, it is not an integer it is string containing characters. in your case you have a string containing character 5, 0 and ,.
If this is what is stored in your database and this is what you want to display then go ahead you do not need to change it to Integer or anything else. But if you are doing some calculations on these values before displaying them, Yes then you need to change them to an Integer values. do the calculation. Change them back to the varchar datatype to show , between thousands and hundred thousands and display/select them.
Example
DECLARE #TABLE TABLE (ID INT, VALUE VARCHAR(100))
INSERT INTO #TABLE VALUES
(1, '100,000'),(2, '200,000'),(3, '300,000'),(4, '400,000'),
(1, '100,000'),(2, '200,000'),(3, '300,000'),(4, '400,000')
SELECT ID, SUM(
CAST(
REPLACE(VALUE, ',','') --<-- Replace , with empty string
AS INT) --<-- Cast as INT
) AS Total --<-- Now SUM up Integer values
FROM #TABLE
GROUP BY ID
SQL Fiddle
you could combine the Replace and cast function
SELECT CAST(REPLACE(Price_amount, ',', '') AS int) AS Price_Number FROM per_prices
for more information visit 'replace', 'cast'
SQLFiddle