I am using ISNUMERIC to get all non numeric rows in my table - but all I get in return is the following example 1.437.230,61 or 3.511.980,00. I really dont know how to get these few rows converted to numeric! I have conveted about 2,5 mil rows without problem but I am getting about 9000 rows that are not numeric - but as displayed above they are numbers. I have tried to trim my coloumn with no luck!
You should always name the dbms you are using. Many dbms have problems converting proper numbers such as 1.437.230,61 due to the thousand separators. So isnumeric works fine here, but the conversion function doesn't.
Use a string replace function to remove the thousand separators from the string before converting. Such as:
to_number( replace(numstr, '.', '') )
Related
I have a column containing a combination of numeric and alphanumeric values. When the value is strictly numeric, the database stores it with leading zeroes (but not always), but not if not.
Here's some sample data:
I need to use these values as part of a string that I will use to join to another table. Unfortunately, the portion of the string that corresponds to this field in the other table snips off the leading zeroes of any of the numeric-only values. I'm stumped finding a method of snipping the leading zeroes ONLY in this case.
I found this solution, but it's not for SQL Server (2012). Trim leading zeroes if it is numeric and not trim zeroes if it is alphanumeric
I also saw this, but it also removes the leading zeroes from the hyphenated values shown in the example, which doesn't work. Better techniques for trimming leading zeros in SQL Server?
Help! Thanks!
You could use:
select (case when col not like '%[^0-9]%'
then convert(varchar(255), try_convert(numeric(38), col))
else col
end)
This works for up to 38 digits after the leading zeros
The database does not store anything in varchar (text) fields except what you give it. If you give it leading zeroes, it will save them, it has no reason not to as it's just a piece of text.
For your problem, you can do this:
ISNULL(CAST(TRY_CAST(field AS numeric(38)) AS varchar(insert_field_length))), field)
I'm trying to convert a varchar column where decimal separator is ','.
The workaround found was replace comma to dot but SQL Server is automatically rounding it up. See below example:
2018-10-08 -8679.95 -8679,94711560794
select DATA, REPLACE([PL]*1,',','.') , PL from TB_BOOK
Please, anyone know How can a get the value with all decimals?
Your approach to replace , with . is ok.
However on top of it you need to explicitly CAST the string to a number with enough decimals (FLOAT, DECIMAL(p, s), ...).
SELECT DATA, CAST(REPLACE([PL],',','.') AS FLOAT), PL from TB_BOOK
I have a list of values coming from a PGSQL database that looks something like this:
198
199
1S
2
20
997
998
999
C1
C10
A
I'm looking to parse this field a bit into individual components, which I assume would take two regexp_replace function uses in my SQL. Essentially, any non-numeric character that appears before numeric ones needs to be returned for one column, and the other column would show all non-numeric characters appearing AFTER numeric ones.
The above list would then be split into this layout as the result from PG:
I have created a function that strips out the non-numeric characters (the last column) and casts it as an Integer, but I can't figure out the regex to return the string values prior to the number, or those found after the number.
All I could come up with so far, with my next to non-existant regex knowledge, was this: regexp_replace(fieldname, '[^A-Z]+', '', 'g'), which just strips out anything not A-Z, but I can;t get to to work with strings before numeric values, or after them.
For extracting the characters before the digits:
regexp_replace(fieldname, '\d.*$', '')
For extracting the characters after the digits:
regexp_replace(fieldname, '^([^\d]*\d*)', '')
Note that:
if there are no digits, the first will return the original value and then second an empty string. This way you are sure that the concatenation is equal to the original value in this case also.
the concatenation of the three parts will not return the original if there are non-numerical characters surrounded by digits: those will be lost.
This also works for any non-alphanumeric characters like #, [, ! ...etc.
Final SQL
select
fieldname as original,
regexp_replace(fieldname, '\d.*$', '') as before_s,
regexp_replace(fieldname, '^([^\d]*\d*)', '') as after_s,
cast(nullif(regexp_replace(fieldname, '[^\d]', '', 'g'), '') as integer) as number
from mytable;
See fiddle.
This answer relies on information you delivered, which is
Essentially, any non-numeric character that appears before numeric
ones needs to be returned for one column, and the other column would
show all non-numeric characters appearing AFTER numeric ones.
Everything non-numeric before a numeric value into 1 column
Everything non-numeric after a numeric value into 2 column
So there's assumption that you have a value that has a numeric value in it.
select
val,
regexp_matches(val,'([a-zA-Z]*)\d+') AS before_numeric,
regexp_matches(val,'\d+([a-zA-Z]*)') AS after_numeric
from
val;
Attached SQLFiddle for a preview.
This question is almost the same with one of my previous questions, which can be found HERE
I have a field named: pa_value which keeps varchar records
Now this field contains records like:
0,5582
0,6985
-0,1589
0,9856
-0,6589
I'm getting these results using the following code:
CAST (replace (p7.pa_value ,'%','') AS float (3,0)) as TotalMargin
What I'm trying to do is to remove everything and leave just 5 characters(or 6 if there is a -(minus) infront of the string).
It should be looking like this:
55.82
69.85
-15.89
98.56
-65.89
I tried to cast it as a float and then to convert it to integer. I also tried the floor command, which is not for my case, without any success. I'm always getting a syntax error message. I believe that there is no way to do this
SELECT p7.pa_value=CASE WHEN LEFT( p7.pa_value,1)='-' THEN '-' +
CONVERT(varchar(max),CONVERT(float,substring(p7.pa_value,4,4))/100) ELSE
CONVERT(varchar(max),CONVERT(float,substring(p7.pa_value,3,4))/100) END
FROM <table_name>
What is being done ..
Check if starting character is '-'.
If yes then extract string starting from position 4 else starting
from position 3.
The inner convert function converts string to float for division and
the outer convert changes back the resultant value back to varchar
type.
If you know there are always four digits after the comma, you could use this, though I don't believe it's perfect:
CONVERT(NUMERIC(9,2), REPLACE(REPLACE(p7.pa_value, '%', ''), ',', '')) / 100
I want to be able to differentiate between a string that is alphnumeric and a string that is in hex format.
My current query is:
<columnName> LIKE '?_____=' + REPLICATE('[0-9A-Fa-f]',16)
I found this method of searching for hex ID's online and I thought it was working. However after getting a significantly larger sample size I can see a high false positive rate in my results. The problem is that this gives me all the results I do want but it also gives me a bunch of results I dont care about. For example:
I want to see:
<url>.php?mains=d7ad916d1c0396ff
but i dont want to see:
<url>.php?mblID=2007012422060265
The difference between the 2 strings is that the 16 characters at the end that i want to collect are all numeric and not a hex ID. What are some ways you guys use to limit the results to hex ID only? Thanks in advnace.
UPDATE:
Juergen brought up a good point, the second number could be a hex value to. Not all hex numbers contain [a-F]. I would like to rephrase the question to state that I am looking for an ID with both letters and numbers in it, not just numbers.
The simplest way is just to add a separate clause for that restriction:
<columnName> LIKE '?_____=' + REPLICATE('[0-9A-Fa-f]',16)
AND <columnName> NOT LIKE '?_____=' + REPLICATE('[0-9]',16)
It should be fairly simple to determine if a string contains only numbers...
Setting up a test table:
CREATE TABLE #Temp (Data char(32) not null)
INSERT #Temp
values ('<url>.php?mains=d7ad916d1c0396ff')
,('<url>.php?mblID=2007012422060265 ')
Write a query:
SELECT
right(Data, 16) StringToCheck
,isnumeric(right(Data, 16)) IsNumeric
from #Temp
Get results:
StringToCheck IsNumeric
d7ad916d1c0396ff 0
2007012422060265 1
So, if the IsNumeric function returns 0, it could be a hex string.
This makes several assumptions:
The rightmost 16 characters are what you want to check
You only ever hit 16 characters. I don't know when the string would get too long to check.
A non-numeric character means hex. Any chance of "Q" or "~" being embedded in the string?