I have a table like this:-
Item Model
------------------------
A 10022009
B 10032006
C 05081997
I need to rearrange/convert the Model column into this format:-
Item Model
------------------------
A 20090210
B 20060310
C 19970805
The Model column is character.
Thanks
You can try the following
UPDATE MyTable
SET Model = substr(Model, 5, 4) + substr(Model, 3, 2) + substr(Model, 1, 2)
The right way to do this, assuming those are date fields (and they certainly look like them), is to put that data into a date type column, not a string type column.
Then you can use the DBMS-provided date/time manipulation functions as they were meant to be used, including being able to extract them in the format and order that you want.
Normally, I would have proposed a simple textual change with substrings but, since you're going to change the data anyway, the best thing to do is bite the bullet and change the schema so all your problems disappear (not just one of them).
If you want to keep it as a string type, the syntax to use depends on your DBMS. It's likely to be one of the following:
substring (column, start, length) # substr for Oracle, I think.
substring (column FROM start for length)
Related
I have a big problem right now and I really need your help, because I can't find the right answer.
I am currently writing a script that triggers a migration process from a table with raw data (data we received from an excel file) to a new normalized schema.
My problem is that there is a column PRICE (varchar2 datatype) with a bunch of traps. For example: 540S, 25oo , I200 , S000 .
And I need to convert it to the correct NUMBER(9,2) format so I can get: 5405, 2500, 1200, 5000 as NUMBER for the previous examples and INSERT INTO my_new_table.
Is there any way I can parse every CHAR of these strings that verify certain conditions?
Or others better way?
Thank you :)!
One of the wonderful things about Oracle that some other DBs lack, is the TRANSLATE function:
SELECT TRANSLATE(number, 'SsIilOoxyz', '5511100') FROM t
This will convert:
S, s to 5
I, i and l to 1
O, o to 0
Remove any x, y or z from the number
The second and third arguments to translate define what characters are to be mapped. If the first string is longer than the second then anything over the length of the second is deleted from the resulting string. Mapping is direct based on position:
'SsIilOoxyz',
'5511100'
Look at the columns of the characters; the character above is mapped to the character below:
S->5,
s->5,
I->1,
i->1,
l->1,
O->0,
o->0,
x->removed,
y->removed,
z->removed`
You can use translate() and along with to_number(). Your rules are not exactly clear, but something like this:
select to_number(translate(price, '0123456789IoS', '012345678910'))
from t;
This replaces I with 1, o with 0, and removes S.
I am working with a pretty badly designed table. I have a field called optional fields which for some reason has been used as a catch-all for someone who didn't want to create the table correctly.
I need to make a query where I look at this optional_fields value and do a comparison on the fifth value of the string in optional_fields.
The value from this field is something like NN14YN...N
My query would be something like:
SELECT COMPANY_NUMBER
FROM table
WHERE fifth character of OPtional Fields = 'Y'
Looking at the supported string functions in DB2 (according to the documentation for DB2 for Linux UNIX and Windows 9.7.0) it would seem that substr could be used:
SELECT COMPANY_NUMBER
FROM table
WHERE substr(optional_Fields,5,1) = 'Y'
In addition to the great answer from #jpw, if you for some reason need to check multiple positions within the string (which I have unfortunately had to do at one time), you can use an IN, and invert the "normal" order, like so:
...
WHERE 'Y' in (
substr(t.flags_field, 123, 1)
,substr(t.flags_field, 19, 1)
,substr(t.flags_field, 128, 1)
,substr(t.flags_field, 1, 1)
)
Just thought I would share. It surprised me the first time I used it!
I am looking for a way to take data from one table and manipulate it and bring it to another table using an SQL query.
I have a Column called NumberStuff that has data like this in it:
INC000000315482
I need to cut off the INC portion of the number and convert it into an integer and store it into a Column in another table so that it ends up looking like this:
315482
Any help would be much appreciated!
Another approach is to use the Replace function. Either in TSQL or as a Derived Column Expression in SSIS.
TSQL
SELECT REPLACE(T.MyColumn, 'INC', '') AS ReplacedINC
SSIS
REPLACE([MyColumn], "INC", "")
This removes the character based data. It then becomes an optional exercise in converting to a numeric type before storing it to the target table or letting the implicit conversion happen.
Simplest version of what you need.
select cast(right(column,6) as int) from table
Are you doing this in a SSIS statement, or?...is it always the last 6 or?...
This is a little less dependant on your formatting...removes 0's and can be any length (will trim the first 3 chars and the leading 0's).
select cast(SUBSTRING('INC000000315482',4,LEN('INC000000315482') - 3) as int)
I want to get data from mysql table sorted by one of it's varchar column. So let's say I have query like this:
SELECT name, model FROM vehicle ORDER BY model
The problem is, that for 'model' values like these: 'S 43', 'S 111' the order will be:
S 111
S 43
because I suppose ORDER BY uses alphabetic order rules, right? So how to modify this query to get "numerical" order? In which 'S 43' would be before 'S 111'? Without changing or adding any data to this table.
Something like this:
SELECT name, model
FROM vehicle
ORDER BY CAST(TRIM(LEADING 'S ' FROM model) AS INTEGER)
Note, that it's not a good practice to sort by function result, because it produces dynamic unindexed result which can be very slow, especially on large datasets.
If the non-numeric portion's of constant length, you could
ORDER BY substring(model, <length of non-numeric portion>)
or, if the non-numeric portion's length varies, you could
ORDER BY substring(model, 1 + LOCATE(' ', model))
You can take numeric part only (substring functions) and convert it into int (cast functions).
mySQL cast functions
mySQL string functions
I didn't test it myself but I suppose it should work.
I have an integer column and I want to find numbers that start with specific digits.
For example they do match if I look for '123':
1234567
123456
1234
They do not match:
23456
112345
0123445
Is the only way to handle the task by converting the Integers into Strings before doing string comparison?
Also I am using Postgre regexp_replace(text, pattern, replacement) on numbers which is very slow and inefficient way doing it.
The case is that I have large amount of data to handle this way and I am looking for the most economical way doing this.
PS. I am not looking a way how to cast integer into string.
Are you looking for a match at the start of the value?
You might create a functional index like this:
CREATE INDEX my_index ON mytable(CAST(stuff AS TEXT));
It should be used by your LIKE query, but I didn't test it.
As a standard principle (IMHO), a database design should use a number type if and only if the field is:
A number you could sensibly perform maths on
A reference code within the database - keys etc
If it's a number in some other context - phone numbers, IP addresses etc - store it as text.
This sounds to me like your '123' is conceptually a string that just happens to only contain numbers, so if possible I'd suggest altering the design so it's stored as such.
Otherwise, I can't see a sensible way to do the comparison using it as numbers, so you'll need to convert it to strings on the fly with something like
SELECT * FROM Table WHERE CheckVar LIKE '''' + to_char(<num>,'999') + '%'
The best way for performance is to store them as strings with an index on the column and use LIKE '123%'. Most other methods of solving this will likely involve a full table scan.
If you aren't allowed to change the table, you could try the following, but it's not pretty:
WHERE col = 123
OR col BETWEEN 1230 AND 1239
OR col BETWEEN 12300 AND 12399
etc...
This might also result in a table scan though. You can solve by converting the OR to multiple selects and then UNION ALL them to get the final result.