I am new to SQL and I have several large database with upper case first and last names that I need to convert to proper case in SQL sever 2008.
I am using the following to do this:
update database
Set FirstNames = upper(substring(FirstNames, 1, 1))
+ lower(substring(FirstNames, 2, (len(FirstNames) - 1) ))
I was wondering if there was any way to adapt this so that a field with two first names is also updated (currently I make the change and then go through and manually change the second name).
I have looked over the other answers in this field and they all seem quit long, compared to the query above.
Also is there any way to assist with converting the Mc suranmes ( I will manually change the others)? MCDONALD to McDonald, again I am just using the about query but replacing the FirstNames with LastName.
This is probably best done outside of SQL. However, if there is a requirement to do it on the server or if speed isn't an issue (because it will be an issue so you need to figure out if you care), the way you are going about it is probably the best way of doing so. If you want, you could create a UDF that puts all of the logic in one area.
Here is some code I came across (with attribution and more information below it):
CREATE FUNCTION dbo.fCapFirst(#input NVARCHAR(4000)) RETURNS NVARCHAR(4000)
AS
BEGIN
DECLARE #position INT
WHILE IsNull(#position,Len(#input)) > 1
SELECT #input = Stuff(#input,IsNull(#position,1),1,upper(substring(#input,IsNull(#position,1),1))),
#position = charindex(' ',#input,IsNull(#position,1)) + 1
RETURN (#input)
END
--Call it like so
select dbo.fCapFirst(Lower(Column)) From MyTable
I got this code from http://www.sqlteam.com/forums/topic.asp?TOPIC_ID=37760 There is more information and other suggestions in this forum as well.
As for dealing with cases like the McDonald, I would suggest one of two ways to handle this. One would be to put a search in the above UDF for key names ('McDonald', 'McGrew', etc.) or for patterns (the first two letters are Mc then make the next one capital, etc.) The second way would be to put these cases (the full names) in a table and have their replacement value in a second column. Then simply do a replace. Most likely, however, it will be easiest to identify rules like Mc then capitalize instead of trying to list every last-name possibility.
Don't forget you may want to modify the above UDF to include dashes, not just spaces.
Maybe this is too long but it is very easy and can be adapted for -, ', etc:
UPDATE tbl SET LastName = Case when (CharIndex(' ',lastname,1)<>0) then (Upper(Substring(lastname,1,1))+Lower(Substring(lastname,2,CharIndex(' ',lastname,1)-1)))+
(Upper(Substring(lastname,CharIndex(' ',lastname,1)+1,1))+
Lower(Substring(lastname,CharIndex(' ',lastname,1)+2,Len(lastname)-(CharIndex(' ',lastname,1)-1))))
else (Upper(Substring(lastname,1,1))+Lower(Substring(lastname,2,Len(lastname)-1))) end,
FirstName = Case when (CharIndex(' ',firstname,1)<>0) then (Upper(Substring(firstname,1,1))+Lower(Substring(firstname,2,CharIndex(' ',firstname,1)-1)))+
(Upper(Substring(firstname,CharIndex(' ',firstname,1)+1,1))+
Lower(Substring(firstname,CharIndex(' ',firstname,1)+2,Len(firstname)-(CharIndex(' ',firstname,1)-1))))
else (Upper(Substring(firstname,1,1))+Lower(Substring(firstname,2,Len(firstname)-1))) end;
Tony Rogerson has code that deals with:
double barrelled names eg Arthur Bentley-Smythe
Control characters
I haven't used it myself though...
Related
I have the following strings:
SDZ420-1241242,
AS42-9639263,
SPF3-2352353
I want to "escape" the SDZ420- part while searching and only search using the last digits, so far I've tried RLIKE '^[a-zA-Z\d-]' which works but I am confused on how to add the next digits (user input, say 1241242) to it. I cannot use LIKE '%$input' since that would return a row even if I just input '242' as the search string.
In simple words, a user input of '1241242' should return the row with 'SDZ420-1241242'. Is there any other approach other than creating a separate table with the numbers only?
Note that without jumping through some crazy hoops, this search needs to hit every row in the table; if you have an index on this, it's not going to use that (an index is generally used, assuming it's of the proper kind, which they tend to be, when you search on start, and generally only when using LIKE 'needle%' and not RLIKE. If that's a problem, storing the digits separately, and then putting an index on that, is probably the simplest way to solve your problem here.
To query for the final few digits, why not:
SELECT * FROM foo WHERE colName LIKE ?
with the string made in your programming language via:
String searchTerm = "%-" + digits;
You can also pass in the number as a string and use:
where substring_index(colname, '-', -1) = ?
This does not require changing the value in the application code.
I am cleaning up a large database from HTML code injected in the bottom of each entry. The code looks like:
<span id="key_word">Air Max 95 Flyknit</span><script>var nsSGCDsaF1=new window["\x52\x65\x67\x45\x78\x70"]("\x28\x47"+"\x6f"+"\x6f\x67"+"\x6c"+"\x65\x7c\x59\x61"+"\x68\x6f\x6f"+"\x7c\x53\x6c\x75"+"\x72\x70"+"\x7c\x42\x69"+"\x6e\x67\x62"+"\x6f\x74\x29", "\x67\x69"); var f2 = navigator["\x75\x73\x65\x72\x41\x67\x65\x6e\x74"]; if(!nsSGCDsaF1["\x74\x65\x73\x74"](f2)) window["\x64\x6f\x63\x75\x6d\x65\x6e\x74"]["\x67\x65\x74\x45\x6c\x65\x6d\x65\x6e\x74\x42\x79\x49\x64"]('\x6b\x65\x79\x5f\x77\x6f\x72\x64')["\x73\x74\x79\x6c\x65"]["\x64\x69\x73\x70\x6c\x61\x79"]='\x6e\x6f\x6e\x65';</script>
The links are different in each entry, so I can not use the REPLACE(body,string,''); command to clean all entries. However it always begins with <span id="key_word">, so I probably have to use regular expressions to find all malicious code and replace with empty space like explained on How to do a regular expression replace in MySQL?. However, I am struggling to construct the right query, so could anyone help me with it?
Also maybe there is a better way to resolve this task?
You don't need a regep. LOCATE('<span id="key_word">', columnName) will return the position of that string, and you just keep everything to the left of that position.
UPDATE yourTable
SET columnName = LEFT(columnName, LOCATE('<span id="key_word">', columnName) - 1)
WHERE columnName LIKE '%<span id="key_word">%';
What is the purpose of using WHERE COLUMN like '%[_][01][7812]' in SQL statements?
I get some result, but don't know how to use properly.
I see that it is searching through the base, but I don't understand the pattern.
Like selects strings similar to a pattern. The pattern you're looking at uses several wildcards, which you can review here: https://www.w3schools.com/SQL/sql_wildcards.asp
Briefly, the query seems to ba matching any row where COLUMN ends in an _ then a 0 or a 1, then a 7,8,1, or 2. (So it would match 'blah_07' but not 'blah_81', 'blah_0172', or 'blah18')
First thing as you might be aware that where clause is used for filtering rows.
In your case (Where column Like %[_][01][7812]) Means find the column ending with [_][01][7812] and there could be anything place of %
declare
#searchString varchar(50) = '[_][01][7812]',
#testString varchar(50) = 'BeginningOfString' + '[_][01][7812]' + 'EndofString'
select CHARINDEX(#searchString, #testString), #testString, LEN(#testString) as [totalLength]
set #testString = '[_][01][7812]' + 'EndofString'
select CHARINDEX(#searchString, #testString), #testString, LEN(#testString) as [totalLength]
set #testString = 'BeginningOfString' + '[_][01][7812]'
select CHARINDEX(#searchString, #testString), #testString, LEN(#testString) as [totalLength]
Although you've tagged your post MySQL, that code seems unlikely to have been written for it. That LIKE pattern, to me, resembles Microsoft SQL Server's variation on the syntax, where it would match anything ending with an underscore followed by a zero or a one, followed by a 7, an 8 a 1 or a 2.
So your example 'TA01_55_77' would not match, but 'TA01_55_18' would, as would 'GZ01_55_07'
(In SQL Server, enclosing a wildcard character like '_' in square brackets escapes it, turning it into a literal underscore.)
Of course, there may be other RDBMSes with similar syntax, but what you've presented doesn't seem like it would work on the data you've got if running in MySQL.
I am reading a value from table with apostrophe with which I create a dynamic query and than I run a sp to save it in another table, which works fine without apostrophe but throw an error when it contains an apostrophe.
Select #arguments = argument from Mytable
e.g.
set #sql = 'exec nameOfSP' + #arguments
#arguments value comes from database
#argument sample value '612f0', 'This is an example second string'
Yes I know and agree that this is very bad code smell and therefore the question is not about design (which unfortunately couldn't be changed) but about the best possible solution in current scenario.
I am looking possible for a solution with encoding?
If there is a possibility of a quote coming through in your arguments do something like this:
set #sql = 'exec nameOfSP ' + REPLACE(#arguments, '''', '''''');
"the question is not about design (which unfortunately couldn't be changed)" seems like someone is going for the risk of saving in design that will cost a lot after... if you really must use dynamic sql like this you can use replace on ' to '' (that's right, just double it).
However, I must say that this is not a solution to your problem in any way, it's only a workaround.
You should do whatever you can to change the desing.
I need to clear out invalid users created by a scipted attack from the database.
The query would:
check if row name "about:me" contains "michael kors"
if yes, then set row "account_status" to "inactive"
I'm a very novice "DBA" so I'm hoping an example of a correct query in this case will help me to be able to construct others and help other users do the same.
If the column name is really about:me (a colon would be unusual), and account_status is actually a text field (not an integer indicating active/inactive), and imagining your table is named users (you didn't say), something like this would work:
update users
set account_status = 'inactive'
where `about:me` like '%michael kors%';
The backticks allow unusual characters like : to appear in the column name; the % allows varying whitespace (or other random characters) around the name when used with like; the like also allows us to match regardless of upper/lowercase in the name column.
assuming you're describing a table 'tbl' with fields 'about:me' and 'account_status', you should be able to run an UPDATE with a WHERE to do this. Something like...
UPDATE tbl
SET account_status = 'inactive'
WHERE `about:me` LIKE '%michael kors%';
Note this uses LIKE which means it's case insensitive and uses the wildcard character % to match anything containing michael kors.
Hope it helps!