I'm using this code
(SELECT (MAX(CODE) +1 WHERE ISNUMERIC([code]) = 1)
I want to max +1 only my numbers of my column preventing characters characters.
NOTE: THIS QUESTION WAS TAGGED MYSQL WHEN THIS ANSWER WAS POSTED.
You can use substring_index() to split the values and then re-unite them:
(SELECT CONCAT(SUBSTRING_INDEX(MAX(Code), '-', 1), '-',
SUBSTRING_INDEX(MAX(CODE), '-', -1) + 1
)
FROM . . .
WHERE code LIKE '%NEW-1%'
)
This assumes that the wildcards do not have hyphens in them, and that the values after the "1" are all numbers.
Also, this doesn't pad the number is zeroes, but that is a good idea for such codes -- it ensures that they are always the same length and that they sort correctly.
The MAX() function accepts expressions, not just column names:
SELECT MAX(CASE ISNUMERIC(code) WHEN 1 THEN code END)+1 as next_code
FROM (
SELECT '15' AS code
UNION ALL SELECT ' 98 ' AS code
UNION ALL SELECT 'New-45' AS code
) foo
WHERE ISNUMERIC(code)=1;
16
(Link is to SQL Server 2005, docs for SQL Server 2000 are apparently no longer on line, but MAX() belongs to SQL standard anyway.)
Related
I have this query here.
WITH Cte_Reverse
AS (
SELECT CASE PATINDEX('%[^0-9.- ]%', REVERSE(EmailName))
WHEN 0
THEN REVERSE(EmailName)
ELSE left(REVERSE(EmailName), PATINDEX('%[^0-9.- ]%', REVERSE(EmailName)) - 1)
END AS Platform_Campaign_ID,
EmailName
FROM [Arrakis].[xtemp].[Stage_SendJobs_Marketing]
)
SELECT REVERSE(Platform_Campaign_ID) AS Platform_Campaign_ID, EmailName
FROM Cte_Reverse
WHERE REVERSE(Platform_Campaign_ID) <> '2020'
AND REVERSE(Platform_Campaign_ID) <> ''
AND LEN(REVERSE(Platform_Campaign_ID)) = 4;
It is working for the most part, below is a screenshot of the result set.
The query I posted above extracts the 4 numbers to the right out of the initial value that is set for the column I am extracting out of. But I am unable to figure out how I can also have the query ignore cases when the right most value is -v2, -v1, etc. essentially anything with -v and whatever number version it is.
If you want four digits, then one method is:
select substring(emailname, patindex('%[0-9][0-9][0-9][0-9]%', emailname), 4)
I have a column which has inconsistent data. The column named ID and it can have values such as
0897546321
ABC,0876455321
ABC,XYZ,0873647773
ABC,
99756
test only
The SQL query should fetch only Ids which are of 10 digit in length, should begin with a 08 , should be not null and should not contain all characters. And for those values, which have both digits and characters such as ABC,XYZ,0873647773, it should only fetch the 0873647773 . In these kind of values, nothing is fixed, in place of ABC, XYZ , it can be anything and can be of any length.
The column Id is of varchar type.
My try: I tried the following query
select id
from table
where id is not null
and id not like '%[^0-9]%'
and id like '[08]%[0-9]'
and len(id)=10
I am still not sure how should I deal with values like ABC,XYZ,0873647773
P.S - I have no control over the database. I can't change its values.
SQL Server generally has poor support regular expressions, but in this case a judicious use of PATINDEX is viable:
SELECT SUBSTRING(id, PATINDEX('%,08[0-9][0-9][0-9][0-9][0-9][0-9][0-9][0-9],%', ',' + id + ','), 10) AS number
FROM yourTable
WHERE ',' + id + ',' LIKE '%,08[0-9][0-9][0-9][0-9][0-9][0-9][0-9][0-9],%';
Demo
If you normalise your data, and split the delimited data into parts, you can achieve this some what more easily:
SELECT SS.value
FROM dbo.YourTable YT
CROSS APPLY STRING_SPLIT(YT.YourColumn,',') SS
WHERE LEN(SS.value) = 10
AND SS.value NOT LIKE '%[^0-9]%';
If you're on an older version of SQL Server, you'll have to use an alternative String Splitter method (such as a XML splitter or user defined inline table-value function); there are plenty of examples on these already on Stack Overflow.
db<>fiddle
Example:
I have the following string:
201904,BLANK,201902,BLANK,BLANK,201811,201810,201809
How can I count the number of repeated values "BLANK" that goes one by one?
In the described example the answer is 2, but what is the query?
Thanks for your help in advance!
Below is for BigQuery Standard SQL (with quick simplified example)
Corrected Version
#standardSQL
WITH `project.dataset.table` AS (
SELECT '201904,BLANK,201902,BLANK,BLANK,201811,201810,201809,BLANK,BLANK,BLANK' value UNION ALL
SELECT '201904,BLANK,201902,BLANK,BLANK,BLANK,201811' UNION ALL
SELECT '201904,BLANK,201902,BLANK,201811,201902,BLANK,201811'
)
SELECT value,
(
SELECT MAX(ARRAY_LENGTH(SPLIT(list))) - 1
FROM UNNEST(REGEXP_EXTRACT_ALL(value || ',', r'(?:BLANK,){1,}')) list
) max_repeated_count
FROM `project.dataset.table`
The idea here is
extract all instances of consecutive BLANK
split each such instances to array of elements of BLANK
and finally get max length of those arrays as a result
Just something came as quick approach
Refactored Version
#standardSQL
WITH `project.dataset.table` AS (
SELECT '201904,BLANK,201902,BLANK,BLANK,201811,201810,201809,BLANK,BLANK,BLANK' value UNION ALL
SELECT '201904,BLANK,201902,BLANK,BLANK,BLANK,201811' UNION ALL
SELECT '201904,BLANK,201902,BLANK,201811,201902,BLANK,201811'
)
SELECT value,
(
SELECT MAX(LENGTH(element) - 1)
FROM UNNEST(REGEXP_EXTRACT_ALL(REPLACE(value || ',', 'BLANK', ''), r',+')) element
) max_repeated_count
FROM `project.dataset.table`
Both with output
Row value max_repeated_count
1 201904,BLANK,201902,BLANK,BLANK,201811,201810,201809,BLANK,BLANK,BLANK 3
2 201904,BLANK,201902,BLANK,BLANK,BLANK,201811 3
3 201904,BLANK,201902,BLANK,201811,201902,BLANK,201811 1
Refactored version is slightly different (but main idea the same)
it removes all BLANKS (assuming BLANK cannot be part of other element - if it can - code can easily be adjusted)
then extract all consecutive entries of commas into array
calculates max length of such sequences of commas
Maybe I misunderstood, but can't you simply split by the value you're looking for and subtract 2 (1 for the first element and 1 for counting elements after splitting):
declare t DEFAULT '201904,BLANK,201902,BLANK,BLANK,201811,201810,201809';
SELECT
t as theString,
split(t,'BLANK') as theSplittedString,
array_length(split(t,'BLANK'))-2 as theAmount
n>0 - amount of repetition,
0 - no repetition,
-1 - element not found
I need to identify repeated numbers( Eg: 1111, 33333333, 5555555555,777777777 etc.) in a column.
How can I do this in sql server without having to hard code every scenario. The max length is 10 of the column. Any help is appreciated.
This will check if the column has all the same value in it.
SELECT *
FROM tablename
WHERE columnname = REPLICATE(LEFT(columnname,1),LEN(columnname))
As Nicholas Cary notes, if the column is numbers you'd need to cast as varchar first:
SELECT *
FROM tablename
WHERE CAST(columnname AS VARCHAR(10)) = REPLICATE(LEFT(CAST(columnname AS VARCHAR(10)),1),LEN(CAST(columnname AS VARCHAR(10))))
Riffing on #Dave.Gugg's excellent answer, here's another way, using patindex() to look for a character different than the first.
select *
from some_table t
where 0 = patindex( '[^' + left(t.some_column,1) + ']' , t.some_column )
Again, this only works for string types (char,varchar, etc.). Numeric types such as int will need to be converted first.
Given data in a column which look like this:
00001 00
00026 00
I need to use SQL to remove anything after the space and all leading zeros from the values so that the final output will be:
1
26
How can I best do this?
Btw I'm using DB2
This was tested on DB2 for Linux/Unix/Windows and z/OS.
You can use the LOCATE() function in DB2 to find the character position of the first space in a string, and then send that to SUBSTR() as the end location (minus one) to get only the first number of the string. Casting to INT will get rid of the leading zeros, but if you need it in string form, you can CAST again to CHAR.
SELECT CAST(SUBSTR(col, 1, LOCATE(' ', col) - 1) AS INT)
FROM tab
In DB2 (Express-C 9.7.5) you can use the SQL standard TRIM() function:
db2 => CREATE TABLE tbl (vc VARCHAR(64))
DB20000I The SQL command completed successfully.
db2 => INSERT INTO tbl (vc) VALUES ('00001 00'), ('00026 00')
DB20000I The SQL command completed successfully.
db2 => SELECT TRIM(TRIM('0' FROM vc)) AS trimmed FROM tbl
TRIMMED
----------------------------------------------------------------
1
26
2 record(s) selected.
The inner TRIM() removes leading and trailing zero characters, while the outer trim removes spaces.
This worked for me on the AS400 DB2.
The "L" stands for Leading.
You can also use "T" for Trailing.
I am assuming the field type is currently VARCHAR, do you need to store things other than INTs?
If the field type was INT, they would be removed automatically.
Alternatively, to select the values:
SELECT (CAST(CAST Col1 AS int) AS varchar) AS Col1
I found this thread for some reason and find it odd that no one actually answered the question. It seems that the goal is to return a left adjusted field:
SELECT
TRIM(L '0' FROM SUBSTR(trim(col) || ' ',1,LOCATE(' ',trim(col) || ' ') - 1))
FROM tab
One option is implicit casting: SELECT SUBSTR(column, 1, 5) + 0 AS column_as_number ...
That assumes that the structure is nnnnn nn, ie exactly 5 characters, a space and two more characters.
Explicit casting, ie SUBSTR(column,1,5)::INT is also a possibility, but exact syntax depends on the RDBMS in question.
Use the following to achieve this when the space location is variable, or even when it's fixed and you want to make a more robust query (in case it moves later):
SELECT CAST(SUBSTR(LTRIM('00123 45'), 1, CASE WHEN LOCATE(' ', LTRIM('00123 45')) <= 1 THEN LEN('00123 45') ELSE LOCATE(' ', LTRIM('00123 45')) - 1 END) AS BIGINT)
If you know the column will always contain a blank space after the start:
SELECT CAST(LOCATE(LTRIM('00123 45'), 1, LOCATE(' ', LTRIM('00123 45')) - 1) AS BIGINT)
both of these result in:
123
so your query would
SELECT CAST(SUBSTR(LTRIM(myCol1), 1, CASE WHEN LOCATE(' ', LTRIM(myCol1)) <= 1 THEN LEN(myCol1) ELSE LOCATE(' ', LTRIM(myCol1)) - 1 END) AS BIGINT)
FROM myTable1
This removes any content after the first space character (ignoring leading spaces), and then converts the remainder to a 64bit integer which will then remove all leading zeroes.
If you want to keep all the numbers and just remove the leading zeroes and any spaces you can use:
SELECT CAST(REPLACE('00123 45', ' ', '') AS BIGINT)
While my answer might seem quite verbose compared to simply SELECT CAST(SUBSTR(myCol1, 1, 5) AS BIGINT) FROM myTable1 but it allows for the space character to not always be there, situations where the myCol1 value is not of the form nnnnn nn if the string is nn nn then the convert to int will fail.
Remember to be careful if you use the TRIM function to remove the leading zeroes, and actually in all situations you will need to test your code with data like 00120 00 and see if it returns 12 instead of the correct value of 120.