How to display output with a % sign. eg: 90% - sql

the below query gives me result as 90 AND NOT 90%.
SELECT
CAST(convert(decimal(20,10),[Total]) as int) AS 'TT'
,cast((convert(decimal(20,10),([Count_Checked_Out]/convert(decimal(20,10),[Total])))* 100) as int) AS '%_Checked_Out'

If you want formatting, of any kind, you must convert the value from a number type, like int, to a string type, like nvarchar. Exactly what this looks like depends on what specific database platform you're using.
But in most cases, you're better off leaving this work for your client code or reporting tool.

If you want to do this in sql query you can do something like this
select concat(90,"%") as percent_value;
But as #Joel Coehoom pointed out you should do this in your presentation layer
http://sqlfiddle.com/#!9/9eecb/191808/0

Related

SQL function to transform number with a certain pattern

I need for a SQL query to transform an int with a value between 1 to 300000 to a number which has this pattern : always 8 number.
For example:
1 becomes 00000001,
123 becomes 00000123,
123456 becomes 00123456.
I have no idea how to do that... How can I do it?
In Standard SQL, you can use this trick:
select substring(cast( (num + 100000000) as varchar(255)) from 2)
Few databases actually support this syntax. Any given database can do what you want, but the method depends on the database you are using.
For MS SQL Server
You could use FORMAT function, like this:
SELECT FORMAT(123,'00000000')
https://database.guide/how-to-format-numbers-in-sql-server/#:~:text=Starting%20from%20SQL%20Server%202012,the%20output%20should%20be%20formatted.
Read at the link Leading Zeroes
For MySql/Oracle
You could use LPAD, like this:
SELECT LPAD('123',8,'0')
https://database.guide/how-to-add-leading-zeros-to-a-number-in-mysql/

Query to ignore rows which have non hex values within field

Initial situation
I have a relatively large table (ca. 0.7 Mio records) where an nvarchar field "MediaID" contains largely media IDs in proper hexadecimal notation (as they should).
Within my "sequential" query (each query depends on the output of the query before, this is all in pure T-SQL) I have to convert these hexadecimal values into decimal bigint values in order to do further calculations and filtering on these calculated values for the subsequent queries.
--> So far, no problem. The "sequential" query works fine.
Problem
Unfortunately, some of these Media IDs do contain non-hex characters - most probably because there was some typing errors by the people which have added them or through import errors from the previous business system.
Because of these non-hex chars, the whole query fails (of course) because the conversion hits an error.
For my current purpose, such rows must be skipped/ignored as they are clearly wrong and cannot be used (there are no medias / data carriers in use with the current business system which can have non-hex character IDs).
Manual editing of the data is not an option as there are too many errors and it is not clear with what the data must be replaced.
Challenge
To create a query which only returns records which have valid hex values within the media ID field.
(Unfortunately, my SQL skills are not enough to create the above query. Your help is highly appreciated.)
The relevant section of the larger query looks like this (xxxx is where your help comes in :-))
select
pureMediaID
, mediaID
, CUSTOMERID
,CONTRACT_CUSTOMERID
from
(
select concat('0x', Replace(Ltrim(Replace(mediaID, '0', ' ')), ' ', '0')) AS pureMediaID
--, CUSTOMERID
, *
from M_T_CONTRACT_CUSTOMERS
where mediaID is not null
and mediaID like '0%'
and xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
) as inner1
EDIT: As per request I have added here some good and some bad data:
Good:
4335463357
4335459809
1426427996
4335463509
4335515039
4335465134
4427370396
4335415661
4427369036
4335419089
004BB03433
004e7cf9c6
00BD23133
00EE13D8C1
00CCB5522C
00C46522C
00dbbe3433
Bad:
4564589+
AB6B8BFC.8
7B498DFCnm
DB218DFChb
d<tgfh8CFC
CB9E8AFCzj
B458DFCjhl
rytzju8DFC
BFCtdsjshj
DB9888FCgf
9BC08CFCyx
EB198DFCzj
4B628CFChj
7B2B8DFCgg
After I did upgrade the compatibility level of the SQL instance to SQL2016 (it was below 2012 before) I could use try_convert with same syntax as the original convert function as donPablo has pointed out. With that the query could run fully through and every MediaID which is not a correct hex value gets nicely converted into a null value - really, really nice.
Exactly what I needed.
Unfortunately, the solution of ALICE... didn't work out for me as this was also (strangely) returning records which had the "+" character within them.
Edit: The added comment of Alice... where you create a calculated field like this:
CASE WHEN "KEY" LIKE '%[^0-9A-F]%' THEN 0 ELSE 1 end as xyz
and then filter in the next query like this:
where xyz = 1
works also with SQL Instances with compatibility level < SQL 2012.
Great addition for people which still have to work with older SQL instances.
An option (although not ideal in terms of performance) is to check the characters in the MediaID through a case statement and regular expression
Hexadecimals cannot contain characters other than A-F and numbers between 0 and 9
CASE WHEN MediaID LIKE '%[0-9A-F]%' THEN 1 ELSE 0 END
I would recommend writing a function that can be used to evaluate MediaID first and checks if it is hexadecimal and then running the query for conversion

SQL Use Greater/Less Than with like and wildcards

I'm currently a bit stumped on how to implement a certain thing. Basically I have an embedded database(which really hates JOINs, performance-wise) and the requirement of adding a wildcard mechanism to a search field. Currently the search field allows the User to input a date and some amounts/revenues which is matched using something like:
SELECT * FROM table where date >= '{0}' AND date <= '{1}'
EDIT: This is due to the fact that a .NET adapter generates the SQL at runtime with various combinations of AND-clauses being possible. Could be the user inputs only a value for {0}, could be he only inputs one for {1}, could be he inputs both, could be he inputs none. Therefore BETWEEN sadly would fall flat unless I start some serious regexing.
I would like to use the keyword LIKE to implement something like:
SELECT * FROM table where date >= LIKE '{0}' AND date <= LIKE '{1}'
with {0} being something like "2015.01*"
I recognize that Date might be a bit much, but using stuff like amounts or revenues is this possible? If so, what's the right syntax? Google is not my friend on this...
Thanks for all your help in advance!
LIKE is doing a regular expression matching, so for example LIKE '%a' matches '1a', but also '2a'. From this it is quite clear that a >= LIKE '...' is not possible.
What you could do is build a string from the date, so that you have for example 'YYYYMMDD', then you could easily compare with LIKE 'YYYYMM%' or with >= 'YYYYMM'.
Still I do not understand why you don't just use the SELECT * FROM table where date >= '{0}' AND date <= '{1}' (or a variant of that query using between) that you already proposed.

Regular expressions inside SQL Server

I have stored values in my database that look like 5XXXXXX, where X can be any digit. In other words, I need to match incoming SQL query strings like 5349878.
Does anyone have an idea how to do it?
I have different cases like XXXX7XX for example, so it has to be generic. I don't care about representing the pattern in a different way inside the SQL Server.
I'm working with c# in .NET.
You can write queries like this in SQL Server:
--each [0-9] matches a single digit, this would match 5xx
SELECT * FROM YourTable WHERE SomeField LIKE '5[0-9][0-9]'
stored value in DB is: 5XXXXXX [where x can be any digit]
You don't mention data types - if numeric, you'll likely have to use CAST/CONVERT to change the data type to [n]varchar.
Use:
WHERE CHARINDEX(column, '5') = 1
AND CHARINDEX(column, '.') = 0 --to stop decimals if needed
AND ISNUMERIC(column) = 1
References:
CHARINDEX
ISNUMERIC
i have also different cases like XXXX7XX for example, so it has to be generic.
Use:
WHERE PATINDEX('%7%', column) = 5
AND CHARINDEX(column, '.') = 0 --to stop decimals if needed
AND ISNUMERIC(column) = 1
References:
PATINDEX
Regex Support
SQL Server 2000+ supports regex, but the catch is you have to create the UDF function in CLR before you have the ability. There are numerous articles providing example code if you google them. Once you have that in place, you can use:
5\d{6} for your first example
\d{4}7\d{2} for your second example
For more info on regular expressions, I highly recommend this website.
Try this
select * from mytable
where p1 not like '%[^0-9]%' and substring(p1,1,1)='5'
Of course, you'll need to adjust the substring value, but the rest should work...
In order to match a digit, you can use [0-9].
So you could use 5[0-9][0-9][0-9][0-9][0-9][0-9] and [0-9][0-9][0-9][0-9]7[0-9][0-9][0-9]. I do this a lot for zip codes.
SQL Wildcards are enough for this purpose. Follow this link: http://www.w3schools.com/SQL/sql_wildcards.asp
you need to use a query like this:
select * from mytable where msisdn like '%7%'
or
select * from mytable where msisdn like '56655%'

SQL produced by Entity Framework for string matching

Given this linq query against an EF data context:
var customers = data.Customers.Where(c => c.EmailDomain.StartsWith(term))
You’d expect it to produce SQL like this, right?
SELECT {cols} FROM Customers WHERE EmailDomain LIKE #term+’%’
Well, actually, it does something like this:
SELECT {cols} FROM Customer WHERE ((CAST(CHARINDEX(#term, EmailDomain) AS int)) = 1)
Do you know why?
Also, replacing the Where selector to:
c => c.EmailDomain.Substring(0, term.Length) == term
it runs 10 times faster but still produces some pretty yucky SQL.
NOTE: Linq to SQL correctly translates StartsWith into Like {term}%, and nHibernate has a dedicated LikeExpression.
I don't know about MS SQL server but on SQL server compact LIKE 'foo%' is thousands time faster than CHARINDEX, if you have INDEX on seach column. And now I'm sitting and pulling my hair out how to force it use LIKE.
http://social.msdn.microsoft.com/Forums/en-US/adodotnetentityframework/thread/1b835b94-7259-4284-a2a6-3d5ebda76e4b
The reason is that CharIndex is a lot faster and cleaner for SQL to perform than LIKE. The reason is, that you can have some crazy "LIKE" clauses. Example:
SELECT * FROM Customer WHERE EmailDomain LIKE 'abc%de%sss%'
But, the "CHARINDEX" function (which is basically "IndexOf") ONLY handles finding the first instance of a set of characters... no wildcards are allowed.
So, there's your answer :)
EDIT: I just wanted to add that I encourage people to use CHARINDEX in their SQL queries for things that they didn't need "LIKE" for. It is important to note though that in SQL Server 2000... a "Text" field can use the LIKE method, but not CHARINDEX.
Performance seems to be about equal between LIKE and CHARINDEX, so that should not be the reason. See here or here for some discussion. Also the CAST is very weird because CHARINDEX returns an int.
charindex returns the location of the first term within the second term.
sql starts with 1 as the first location (0 = not found)
http://msdn.microsoft.com/en-us/library/ms186323.aspx
i don't know why it uses that syntax but that's how it works
I agree that it is no faster, I was retrieving tens of thousands of rows from our database with the letter i the name. I did find however that you need to use > rather than = ... so use
{cols} FROM Customer WHERE ((CAST(CHARINDEX(#term, EmailDomain) AS int)) > 0)
rather than
{cols} FROM Customer WHERE ((CAST(CHARINDEX(#term, EmailDomain) AS int)) = 1)
Here are my two tests ....
select * from members where surname like '%i%' --12 seconds
select * from sc4_persons where ((CAST(CHARINDEX('i', surname) AS int)) > 0) --12 seconds
select * from sc4_persons where ((CAST(CHARINDEX('i', surname) AS int)) = 1) --too few results