How to correct below misspelled data in column market:
market
SocialMediaAdvertising
SocialInvesting
FinancialExchanges
CloudMagement
VentureCapital
I don't know what syntax to write.
But output should be as below:
market
Social Media Advertising
Social Investing
Financial Exchanges
Cloud Magement
Venture Capital
Use can use the regexp_replace() function to insert each a space before each upper case letter. (See demo)
update markets
set market = ltrim(regexp_replace(market, '([A-Z])', ' \1', 'g'));
Caution: As presented this Updates every occurrence of an upper case letter inserting a space before it. The ltrim removes the space inserted at the beginning of the column. Any uppercase letter preceded by a space creates a double space. Make sure you validate result.
You can run a series of SQL updates since there aren't many changes. For example
UPDATE your_table set market="Social Media Advertising" where market="SocialMediaAdvertising";
UPDATE your_table set market="Social Investing" where market="SocialInvesting";
UPDATE your_table set market="Financial Exchanges" where market="FinancialExchanges";
UPDATE your_table set market="Cloud Magement" where market="CloudMagement";
UPDATE your_table set market="Venture Capital" where market="VentureCapital";
Cautions:
Be sure to replace your_table with the actual name of the table you want to update, for each SQL statement.
You might have a typo with "Magement", but I'm not sure
Related
Hello i have a table with rows
and i was doing a simple
select from table where column ='string'
and it gives me back no result, but when i use:
select from table where column ='%string%'
it gives me the row that exist in my table,
then i did a select * from table and noticed that there is a blank space before my rows:
Image of my SQL result
If you look closely theres a space at the beginning of the second row, and only in the first row theres no blank space.
so i thought it was a simple white space at the beggining but when i tried using this:
SELECT LTRIM(RTRIM(MATERIAL)) FROM table
nothing happened.
then i tried to copy the result of my
select * from table
to Excel and noticed this:
Excel paste from SQL
my 2nd row got splitted in 2 rows right at the start of the column 'material', so the thing i thught it was a blank space its something like a jump line.
i have never had this problem before or seen this before.
Larnu has commented how to remove all the linebreaks from the data. Here are some other things that could also work, and slightly differently depending on the effect you want:
--trim everything that is not a number or letter off the left hand side only
UPDATE table SET material = SUBSTRING(material, PATINDEX(material, '[0-9a-z]', 99999)
--convert all linebreaks to spaces and trim off the left and right spaces
UPDATE table SET material = RTRIM(LTRIM(REPLACE(material, CHAR(10), ' ')))
Larnu's SQL isn't wrong, it'll just remove every line break anywhere, which may cause more formatting disruption than is wanted. I'd be tempted to replace all the linebreaks with spaces, as two words that are separated by a line break would remain separated by a space rather than become one word if the space was removed
some
word
-> some word (if you replace linebreak with space)
-> someword (if you replace linebreak with nothing)
If all you want is to remove linebreaks from the left side of the field, the patindex method will search the field for the first occurrence of a numbe rof a letter, and return the index, then substring will cut everything from that index for a length of 99999 (use a bigger number if your field is longer). This has the effect of removing only linebreaks at the start of the field
As to how it happened, whoever inserted the data, or the data import program, made some mistakes when it was cutting up the data. Perhaps it was a Windows style text file, whose line endings are CR LF (ascci 13 followed by 10), and the program that did the import decided to cut the file up based on the 13 only, leaving behind the 10 to become "part of" the material field:
this,is,my,data1<13><10>this,is,my,data2<13><10>
//now lets cut it up into 2 records, based on using <13> only to denote the end of line:
record 1= this,is,my,data1
record 2= <10>this,is,my,data2
The program just sees a stream of bytes, it is we humans that interpret "lines". If the program treats 13 as the separator, then all the 10s get left behind as part of the data that gets inserted. The very first record in the file won't have 13/10 (crlf) before it because it's the first line, so one of your rows (the one with ascii (49)) won't suffer this problem
You could "cure" the bad data with a trigger upon insert:
CREATE TRIGGER prevent_bad_data
ON yourtable
INSTEAD OF INSERT
AS
BEGIN
INSERT INTO yourtable(somecolumn,othercolumn,material)
SELECT foo,
bar,
LTRIM(REPLACE(material, CHAR(10), ' '))
FROM Inserted
END
Or you could program the db to reject bad rows and fix the tool that is inserting the bad data:
ALTER TABLE yourtable
ADD CONSTRAINT prevent_bad_material
CHECK material LIKE '[0-9a-z]%'; --check it starts with a number or letter
Edit: though having seen your updated question with screenshots, the material column really should be a number, not a varchar type, then this wouldn't happen
Do you know how to remove below kind of Characters at once on a query ?
Note : .I'm retrieving this data from the Access app and put only the valid data into the SQL.
select DISTINCT ltrim(rtrim(a.Company)) from [Legacy].[dbo].[Attorney] as a
This column is company name column.I need to keep string characters only.But I need to remove numbers only rows,numbers and characters rows,NULL,Empty and all other +,-.
Based on your extremely vague "rules" I am going to make a guess.
Maybe something like this will be somewhere close.
select DISTINCT ltrim(rtrim(a.Company))
from [Legacy].[dbo].[Attorney] as a
where LEN(ltrim(rtrim(a.Company))) > 1
and IsNumeric(a.Company) = 0
This will exclude entries that are not at least 2 characters and can't be converted to a number.
This should select the rows you want to delete:
where company not like '%[a-zA-Z]%' and -- has at least one vowel
company like '%[^ a-zA-Z0-9.&]%' -- has a not-allowed character
The list of allowed characters in the second expression may not be complete.
If this works, then you can easily adapt it for a delete statement.
I have a Company table in SQL Server and I would like to retrieve list of data related to particular companies and list of companies is very huge of around 200 company names and I am trying to use IN clause of T-SQL which is complicating the retrieval as few the companies have special characters in their name like O'Brien and so its throwing up an error as it is obvious.
SELECT *
FROM COMPANY
WHERE COMPANYNAME IN
('Archer Daniels Midland'
'Shell Trading (US) Company - Financial'
'Redwood Fund, LLC'
'Bunge Global Agribusiness - Matt Thibodeaux'
'PTG, LLC'
'Morgan Stanley Capital Group'
'Vitol Inc.'..
.....
....
.....)
Above is the script that is not working for obvious reasons, is there any way I can input those company names from an excel file and retrieve the data?
The easiest way would be to make a table and join it:
CREATE TABLE dbo.IncludedCompanies (CompanyName varchar(1000)
INSERT INTO dbo.IncludedCompanies
VALUES
('Archer Daniels Midland'),
('PTG, LLC')
...
SELECT *
FROM Company C
JOIN IncludedCompanies IC
ON C.CompanyName = IC.CompanyName
I do not think that mysql knows how to handle excel format, but you can fix your query.
Check how complicated names are stored in database (check if they have escape characters in them or anything else".
Replace all ' with \' in your query and it will take care of the ' characters
mysql> select now() as 'O\'Brian'; returns
O'Brian
2014-03-17 15:06:39
So i'm guessing you have a excel sheet with a column containing these names, and you want to use this in your where clause. In addition, some of the values have special characters in them, which needs to be escaped.
First thing you do is to escape the '-characters. You do this in excel, with a search replace for all occurences of ' with '' (the escaped version in sqlserver (\' in MySQL.)) Then, create a new column on each side side of your companies column, and in the first row input a ' on the left hand side, and ', on the right. Then use the copy cell functionality (the little square in the bottom right of the cell when you select it) to copy the cells to the left and right to all the rows, as far as the company list goes (just grab the square and pull it downwards..)
Then, take your list, now containing three columns and x rows and paste it into your favorite text editor. It should look something like this:
' Company#1 ',
' Company with special '' char ',
[...]
' Last company ',
Now, you will have some whitespace to get rid of. Use search replace and replace two space characters with nothing, and repeat (or take the space from the first ' to the start of the text and replace this with nothing.
Now, you should have a list of:
'Company#1',
'Company with special '' char',
[...]
'Last company',
Remove the last comma, and you'll have a valid list of parameters to your in-clause (or a (temporary) table if you want to keep your query a bit cleaner.)
Exactly like my title states i need a query that removes the first chracter from [Parameter_Value] into [Parameter_Flag] if the first character is the letter L. Otherwise it remains unchanged. There are no blank values in [Parameter_Value] as they have already been removed.
i thought of a way . but it requires bring all the entires with L using the criteria Like"L*" into another table. and then removing the first characters of each field while adding an L to the [parameter_flag] column. usign the criteria NOT like "L*" to get the rest of the values in another table. and then combine the two.
Is there a more effiecient way?
I'm rusty on my Access (JET) SQL, but I think is what you want:
UPDATE table
SET Parameter_Flag = "L",
Parameter_Value = MID(Parameter_value, 2)
WHERE Parameter_Value LIKE "L*"
The * wildcard character only works in ANSI-89 Query Mode ("traditional mode"). Perhaps safer to use ALIKE, which uses the same Standard wildcard characters regardless of Query Mode e.g.
UPDATE table
SET Parameter_Flag = 'L',
Parameter_Value = MID$(Parameter_value, 2)
WHERE Parameter_Value ALIKE 'L%';
I have the following data in my "Street_Address_1" column:
123 Main Street
Using Postgresql, how would I write a query to update the "Street_Name" column in my Address table? In other words, "Street_Name" is blank and I'd like to populate it with the street name value contained in the "Street_Address_1" column.
From what I can tell, I would want to use the "regexp_matches" string method. Unfortunately, I haven't had much luck.
NOTE: You can assume that all addresses are in a "StreetNumber StreetName StreetType" format.
If you just want to take Street_Address_1 and strip out any leading numbers, you can do this:
UPDATE table
SET street_name = regexp_replace(street_address_1, '^[0-9]* ','','');
This takes the value in street_address_1 and replaces any leading string of numbers (plus a single space) with an empty string (the fourth parameter is for optional regex flags like "g" (global) and "i" (case-insensitive)).
This version allows things like "1212 15th Street" to work properly.
Something like...:
UPDATE table
SET Street_Name = substring(Street_Address_1 FROM '^[0-9]+ ([a-zAZ]+) ')
See relevant section from PGSQL 8.3.7 docs, the substring form is detailed shortly after the start of the section.