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sql server mseq : query
Have a problem and hope someone can help. I have a column which consists of numbers such as 123 235 456 888 etc How can i write a simple query to change them to 00123 00235 00456 00888 etc Kindly advise. Thank you very much
you can concatenate the data using a + sign.
Select '00' + cast(ColumnNameHere as varchar(255)) from tablename -- /* Warren Brunk - MCITP - SQL 2005, MCDBA www.techintsolutions.com Tech Blog - www.technologyis.com */ [quoted text, click to view] "Tiffany" <Tiffany@discussions.microsoft.com> wrote in message news:47F589A4-FD90-42C0-8833-6D3D93E28C0A@microsoft.com... > hi, > > Have a problem and hope someone can help. > > I have a column which consists of numbers such as > 123 > 235 > 456 > 888 > etc > > How can i write a simple query to change them to > 00123 > 00235 > 00456 > 00888 > etc > > Kindly advise. > > Thank you very much >
Thank you very much. What if in the column, there is also alphabets like
abc rde fgd 123 256 and I just want 00+ to apply to numbers only. What should I do? Kindly advise. Thank you [quoted text, click to view] "Warren Brunk" wrote:
> you can concatenate the data using a + sign. > > Select '00' + cast(ColumnNameHere as varchar(255)) from tablename > > -- > /* > Warren Brunk - MCITP - SQL 2005, MCDBA > www.techintsolutions.com > Tech Blog - www.technologyis.com > */ > > > "Tiffany" <Tiffany@discussions.microsoft.com> wrote in message > news:47F589A4-FD90-42C0-8833-6D3D93E28C0A@microsoft.com... > > hi, > > > > Have a problem and hope someone can help. > > > > I have a column which consists of numbers such as > > 123 > > 235 > > 456 > > 888 > > etc > > > > How can i write a simple query to change them to > > 00123 > > 00235 > > 00456 > > 00888 > > etc > > > > Kindly advise. > > > > Thank you very much > > > >
Hugo,=20
Instead of combining NOT LIKE and [^0-9], wouldn't that be easier to = understand as: SELECT CASE WHEN ColumnNameHere LIKE '%[0-9]%' THEN '00'=20 ELSE ''=20 END + ColumnNameHere=20 FROM TableNameHere; (I've always hated double negatives...) --=20 Arnie Rowland, Ph.D. Westwood Consulting, Inc Most good judgment comes from experience.=20 Most experience comes from bad judgment.=20 - Anonymous You can't help someone get up a hill without getting a little closer to = the top yourself. - H. Norman Schwarzkopf [quoted text, click to view] "Hugo Kornelis" <hugo@perFact.REMOVETHIS.info.INVALID> wrote in message =
news:fq52k2hgo2p6nfpg4jq67bvkml3r3hnhhn@4ax.com... > On Wed, 25 Oct 2006 22:30:01 -0700, Tiffany wrote: >=20 >>Thank you very much. What if in the column, there is also alphabets = like >>abc >>rde >>fgd >>123 >>256 >> >>and I just want 00+ to apply to numbers only. What should I do? Kindly = advise. >=20 > Hi Tiffany, >=20 > Use a CASE expression: >=20 > SELECT CASE > WHEN ColumnNameHere NOT LIKE '%[^0-9]%' > THEN '00' ELSE '' END + ColumnNameHere > FROM TableNameHere; >=20 > --=20
[quoted text, click to view]
On Wed, 25 Oct 2006 22:30:01 -0700, Tiffany wrote: >Thank you very much. What if in the column, there is also alphabets like >abc >rde >fgd >123 >256 > >and I just want 00+ to apply to numbers only. What should I do? Kindly advise. Hi Tiffany, Use a CASE expression: SELECT CASE WHEN ColumnNameHere NOT LIKE '%[^0-9]%' THEN '00' ELSE '' END + ColumnNameHere FROM TableNameHere; --
[quoted text, click to view]
On Thu, 26 Oct 2006 13:41:15 -0700, Arnie Rowland wrote: >Hugo, > >Instead of combining NOT LIKE and [^0-9], wouldn't that be easier to understand as: > >SELECT CASE > WHEN ColumnNameHere LIKE '%[0-9]%' THEN '00' > ELSE '' > END + ColumnNameHere >FROM TableNameHere; > >(I've always hated double negatives...) Hi Arnie, Easier to understand, but incorrect as well. Try it with '1s3' or 'af7' as input data. Double negatives are a bane for language, but a boon for SQL. Not only for relational division, but also for constructing LIKE clauses. The very limited regexp powers of LIKE don't allow for a test of "all characters have to be numeric", but they do allow a test for "no character may not be numeric". Of course, if the length of the string is guaranteed to be always three characters, you could also use LIKE '[0-9][0-9][0-9]'. --
I see your point Hugo.
Your illustration of using the double negative will cover all possibilities -pure or mixed alphanumerics, whereas my method only covers all alpha or all numeric -but not the mixed possibilities. For the OP's situation as presented (all alpha or all numeric), either will work, but your method is definitely more robust. -- Arnie Rowland, Ph.D. Westwood Consulting, Inc Most good judgment comes from experience. Most experience comes from bad judgment. - Anonymous You can't help someone get up a hill without getting a little closer to the top yourself. - H. Norman Schwarzkopf [quoted text, click to view] "Hugo Kornelis" <hugo@perFact.REMOVETHIS.info.INVALID> wrote in message news:beb2k21s9ptltdqsou2dojs4ejbmpdcbt4@4ax.com... > On Thu, 26 Oct 2006 13:41:15 -0700, Arnie Rowland wrote: > >>Hugo, >> >>Instead of combining NOT LIKE and [^0-9], wouldn't that be easier to >>understand as: >> >>SELECT CASE >> WHEN ColumnNameHere LIKE '%[0-9]%' THEN '00' >> ELSE '' >> END + ColumnNameHere >>FROM TableNameHere; >> >>(I've always hated double negatives...) > > Hi Arnie, > > Easier to understand, but incorrect as well. Try it with '1s3' or 'af7' > as input data. > > Double negatives are a bane for language, but a boon for SQL. Not only > for relational division, but also for constructing LIKE clauses. The > very limited regexp powers of LIKE don't allow for a test of "all > characters have to be numeric", but they do allow a test for "no > character may not be numeric". > > Of course, if the length of the string is guaranteed to be always three > characters, you could also use LIKE '[0-9][0-9][0-9]'. > > -- > Hugo Kornelis, SQL Server MVP
the isnumeric function is probably the most efficient way of accomplishing
this task -- Michael Abair Programmer / Analyst Chicos FAS Inc. [quoted text, click to view] "Arnie Rowland" <arnie@1568.com> wrote in message news:%23ZcV%23YZ%23GHA.4704@TK2MSFTNGP04.phx.gbl... >I see your point Hugo. > > Your illustration of using the double negative will cover all > possibilities -pure or mixed alphanumerics, whereas my method only covers > all alpha or all numeric -but not the mixed possibilities. > > For the OP's situation as presented (all alpha or all numeric), either > will work, but your method is definitely more robust. > > -- > Arnie Rowland, Ph.D. > Westwood Consulting, Inc > > Most good judgment comes from experience. > Most experience comes from bad judgment. > - Anonymous > > You can't help someone get up a hill without getting a little closer to > the top yourself. > - H. Norman Schwarzkopf > > > "Hugo Kornelis" <hugo@perFact.REMOVETHIS.info.INVALID> wrote in message > news:beb2k21s9ptltdqsou2dojs4ejbmpdcbt4@4ax.com... >> On Thu, 26 Oct 2006 13:41:15 -0700, Arnie Rowland wrote: >> >>>Hugo, >>> >>>Instead of combining NOT LIKE and [^0-9], wouldn't that be easier to >>>understand as: >>> >>>SELECT CASE >>> WHEN ColumnNameHere LIKE '%[0-9]%' THEN '00' >>> ELSE '' >>> END + ColumnNameHere >>>FROM TableNameHere; >>> >>>(I've always hated double negatives...) >> >> Hi Arnie, >> >> Easier to understand, but incorrect as well. Try it with '1s3' or 'af7' >> as input data. >> >> Double negatives are a bane for language, but a boon for SQL. Not only >> for relational division, but also for constructing LIKE clauses. The >> very limited regexp powers of LIKE don't allow for a test of "all >> characters have to be numeric", but they do allow a test for "no >> character may not be numeric". >> >> Of course, if the length of the string is guaranteed to be always three >> characters, you could also use LIKE '[0-9][0-9][0-9]'. >> >> -- >> Hugo Kornelis, SQL Server MVP > >
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On Fri, 27 Oct 2006 09:44:03 -0400, Michael Abair wrote: >the isnumeric function is probably the most efficient way of accomplishing >this task Hi Michael, Except that isnumeric returns 1 if the value passed to it can be converted to at least one numeric datatype - not necessary int. Try SELECT ISNUMERIC('$'), ISNUMERIC('1E3'), ISNUMERIC('1.d2') --
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