How To Parse Out Data

Apr 25, 2008

This is the type of data I have within my table and I need to take it from this to the example below

Types First Name Last Name
--------- ---------------- ----------------
6L4XX,6L5XX,6L8XX,6L9XX Bob Smith
6L4XX,6L5XX,6L8XX,6L9XX Dave Johnson





Types First Name Last Name
--------- ---------------- ---------------

6L4XX Bob Smith
6L5XX Bob Smith
6L8XX Bob Smith
6L9XX Bob Smith

6L4XX Dave Johnson
6L5XX Dave Johnson
6L8XX Dave Johnson
6L9XX Dave Johnson


I have to do this for MANY rows but I don't want to use a cursor. Should I be using Dynamic SQL? If so how should I go about starting out.

Thank You


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Parse Data And Then Compare

Aug 14, 2007

I am using MSSQL v8 (if that matters)

The data looks like the following
---------------------------
| PBP 20070420 2:26pm |
---------------------------

Now the data in this field is not uniform it can be blank, a sentence or have a different pre fix, instead of PBP, but the date will be YYYYMMDD when it is supplied.

I need to find all the dates that are within the last 10 months. How do I perform this task?

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Mar 30, 2008

I have just inherited a new project consisting of data imported into sql 2005 from a multi-dimensional database. After finding the correct ODBC and importing the data I believed that I was done, but after reviewing the resulting structure I discovered why this was called a €œmulti-dimensional€? database. The resulting imported data is completely de-normalized and resembles an excel spreadsheet more than a relational database. An example of this structure is the persons table. The table has multiple columns, some of which contain the multi-dimensional fields. These fields contain multiple values which are separated with a tilde, €œ~€?. I need to parse out the data and normalize it. In the specific sample of data below I attempting to take the personid, associates, and assocattrib and insert them into a sql table, associates. This table references the persons table where the personid and the associates references the personid in the persons table.




Code Snippet

CREATE TABLE [dbo].[persons](
[namepkey] [int] PRIMARY KEY NOT NULL,
[nameid] [varchar](6) NOT NULL,
[lastname] [varchar](41) NULL,
[firstname] [varchar](50) NULL,
[mname] [varchar](50) NULL,
[sex] [char](1) NULL,
[race] [varchar](55) NULL,
[dob] [varchar](10) NULL,
[address] [varchar](28) NULL,
[city] [varchar](32) NULL,
[state] [varchar](25) NULL,
[zip] [varchar](127) NULL,
[hphone] [varchar](10) NULL,
[busphone] [varchar](50) NULL,
[profession] [varchar](28) NULL,
[employer] [varchar](42) NULL,
[eyecolor] [varchar](23) NULL,
[build] [varchar](14) NULL,
[complexion] [varchar](26) NULL,
[haircolor] [varchar](26) NULL,
[dlnumber] [varchar](36) NULL,
[dlstate] [varchar](27) NULL,
[jacketnumber] [varchar](130) NULL,
[height] [varchar](4) NULL,
[weight] [varchar](50) NULL,
[ethnicity] [varchar](25) NULL,
)

CREATE TABLE [dbo].[associates](
[associd] [int] NOT NULL REFERENCES persons(personid),
[namepkey] [int] NOT NULL REFERENCES persons(personid),
[assocattribute] [varchar](20) NULL
)

The purpose of normalizing this data will be to show the realationship(s) between people as it has been documented in the previous data structure, i.e. person 1 is an associate of person 336 and the attribute is WIT.




My problem lies in attempting to parse out the associates and assocattrib columns and relate them to the appropriate personid. The personid relates to each associate and assocattrib and the tilde, ~, separates the values ordinal position which, in sql, would be separate rows. For example the single row:
personid associates assocattrib
58201 252427~252427~252427 VICT/SUSP~WIT~RP
Should be:
58201 252427 VICT/SUSP
58201 252427 WIT
58201 252427 RP

The imported data can have no associates:
personid associates assocattrib
152683 NULL NULL

or up to 69 associates, I am not even going to try to paste all of that here.

There are over 400,000 rows that I am looking at parsing, so any way of doing this in t-sql or the clr would be GREAT. This data is stored in SQL 2005 standard SP2. The specific machine is our test/reporting server, so I am not necessarily concerned with the best performing solution, I am leaning more towards providing some free time for me.



Any help or suggestions, including better ideas on the table structure, would be greatly appreciated.


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May 5, 2014

declare @xml table (xmldata xml)
insert @xml select
N'<parseObject name="Motel">
<fields>
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[Code] ....

I want to extract data in in table format

ParseObjectName FieldType FieldSizeGrammar
Motel VehicleNo Int NULL div.biz-page-subheader li > span.i-phone-biz_details-wrap
mapbox-icon span.biz-partno[/size]

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Nov 10, 2014

I am trying to parse data separated through text (ie abc1, abc2, abc3, abc4, etc).

ID ParseData
1 [abc1.Pants/abc2.Orange hat /abc3.Purple shirt /abc4./abc5./abc6./abc7./abc8.]
2 [abc1.Gray Shoes/abc2.Striped jacket /abc3./abc4./abc5./abc6./abc7./abc8.]
3 [abc1.Blue jeans/abc2./abc3./abc4./abc5./abc6./abc7./abc8.]

New Data (abc1, abc2, abc3, etc each have a field in the new data set)
ID ParseData abc1 abc2 abc3 abc4 abc5 abc6 abc7 abc8
1 [abc1.Pants...abc8.] Pants Orange hat Purple shirt
2 [abc1.Gray...abc8.] Gray Shoes Striped jacket
3 [abc1.Blue...abc8.] Blue Jeans

If I only want the data in between abc1 and abc2, between abc2 and abc3, etc, what would be the best way to do that?

My code so far looks like:
DECLARE
@string varchar(100) = '[abc1.Pants/abc2.Orange hat /abc3.Purple shirt /abc4./abc5./abc6./abc7./abc8.]',
@searchString1 varchar(20) = 'abc1',
@searchString2 varchar(20) = 'abc2';

SELECT newstring
FROM dbo.SubstringBetween(@string,@searchString1,@searchString2);

This returns 'Pants.'How do I continue to parse between abc2 and abc3? between abc3 and abc4?And then continue to ID2?Should I be referencing the ParseData field instead of string of data that I want to parse?

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Jun 7, 2007

Hi,



We're importing data from a progress db. Some of the columns contain arrays or delimited values which represent accounting periods.



Currently I'm passing the arrays row by row to a stored procedure which parses and inserts each value as a row for the applicable accounting period, it works but is very slow.



Any Ideas?



Thanks



Emilio

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Apr 9, 2008

I have a third party application with a ntext field that I need to parse the data out of. The data looks like this:
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Again, this looks like xml, but the field type is ntext. I would like to create a view displaying the parsed data in fields. How would I go about parsing the data?
Thanks.

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Nov 16, 2011

I'm trying to write a stored procedure that will parse XML attributes and populate columns within a DB with the stripped data. I'm a complete novice who prior to this week knew nothing about SQL commands, My understanding at least is that I need to perform a bulk insert.

Example XML file:

<?xml version="1.0" encoding="ISO-8859-1"?>
<!DOCTYPE Asset_Collection SYSTEM "Asset_Collection.dtd">
<Asset_Collection>
<Collection_Metadata
Name="Asset Collection"
Description="Random XML Feed Test"

[Code] ....

Table/Columns which need to be inserting into:
Table:
TABLE_A

Columns:
ProdID
CustomerID
AreaCode

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Jun 13, 2008

I'm working on a sales commission report that will show commissions for up to 5 sales reps for each invoice. The invoice detail table contains separate columns for the commission rates payable to each rep, but for some reason the sale srep IDs are combined into one column. The salesrep column may contain null, a single sales rep id, or up to five slaes rep IDs separated by the '~' character.

So I'd like to parse the rep IDs from a single column (salesreplist) in my invoice detail table (below) to multiple columns (RepID1, RepID2, RepID3, RepID4,RepID5) in a temp table so I can more easily calculate the commission amounts for each invoice and sales rep.

Here is my table:

CREATE TABLE invcdtl(
invoicenum int,
salesreplist [text] NULL,
reprate1 int NULL,
reprate2 int NULL,
reprate3 int NULL,
reprate4 int NULL,
reprate5 int NULL,
)

Here is some sample data:

1 A 0 0 0 0 0
2 0 0 0 0 0
3 I~~~~ 15 0 0 0 0
4 A~B 5 5 0 0 0
5 I~F~T~K~G 5 5 2 2 2
6 A~B

As you can see, some records have trailing delimiters but some don't. This may be a result of the application's behavior when multiple reps are entered then removed from an invoice. One thing for sure is that when there are multiple reps, the IDs are always separated by '~'

Can anyone suggest a solution?

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update MyTable
set Description = LEFT(Description(CHARINDEX('<',Description)-1)) where myid = 1

that totally works.

update MyTable
set Description = LEFT(Description(CHARINDEX('<',Description)-1)) where myid >= 2

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Jun 11, 2015

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car make year1 year2 year3
A   volare 1995 1996 1997
a   volare 1997   1998   1999
b toyat  1965    1966   1968

We can pivot out the first X# but we don't know how many lines so we don't know how many rows we will be creating.

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Apr 29, 2015

I have a business need to create a report by query data from a MS SQL 2008 database and display the result to the users on a web page. The report initially has 6 columns of data and 2 out of 6 have JSON data so the users request to have those 2 JSON columns parse into 15 additional columns (first JSON column has 8 key/value pairs and the second JSON column has 7 key/value pairs). Here what I have done so far:

I found a table value function (fnSplitJson2) from this link [URL]. Using this function I can parse a column of JSON data into a table. So when I use the function above against the first column (with JSON data) in my query (with CROSS APPLY) I got the right data back the but I got 8 additional rows of each of the row in my table. The reason for this side effect is because the function returned a table of 8 row (8 key/value pairs) for each json string data that it parsed.

1. First question: How do I modify my current query (see below) so that for each row in my table i got back one row with 19 columns.

SELECT A.ITEM1,A.ITEM2,A.ITEM3,A.ITEM4, B.*
FROM PRODUCT A
CROSS APPLY fnSplitJson2(A.ITEM5,NULL) B

If updated my query (see below) and call the function twice within the CROSS APPLY clause I got this error: "The multi-part identifier "A.ITEM6" could be be bound.

2. My second question: How to i get around this error?

SELECT A.ITEM1,A.ITEM2,A.ITEM3,A.ITEM4, B.*, C.*
FROM PRODUCT A
CROSS APPLY fnSplitJson2(A.ITEM5,NULL) B,  fnSplitJson2(A.ITEM6,NULL) C

I am using Microsoft SQL Server 2008 R2 version. Windows 7 desktop.

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Apr 15, 2008

-- Prepare sample data
DECLARE@h INT,
@XML VARCHAR(8000),
@2k5 XML

SELECT@XML ='
<SalesOrder xmlns:dt="urn:schemas-microsoft-com:datatypes">
<doc_gps_is_MC_trx dt:dt="i2">0</doc_gps_is_MC_trx>
<doc_gps_exchange_time dt:dt="datetime">1/1/1900 12:00:00 AM</doc_gps_exchange_time>
<doc_cy_oadjust_subtotal dt:dt="string" Type="decimal">4</doc_cy_oadjust_subtotal>
<doc_gps_currency_index dt:dt="i2">1007</doc_gps_currency_index>
Avenue</doc_bill_to_street>
<doc_gps_exchange_table_id dt:dt="string" />
<doc_gps_misc_taxscheduleid dt:dt="string" />
<doc_gps_MC_transaction_state dt:dt="i4">0</doc_gps_MC_transaction_state>
<doc_ship_to_state dt:dt="string">MD</doc_ship_to_state>
<doc_bill_to_phone dt:dt="string">410-325-3531</doc_bill_to_phone>
<_Verify_With />
<doc_gps_currency_id dt:dt="string">Z-US$</doc_gps_currency_id>
<doc_bill_to_state dt:dt="string">MD</doc_bill_to_state>
<doc_ship_to_zip dt:dt="string">21206</doc_ship_to_zip>
<doc_gps_rate_calc_method dt:dt="i2">0</doc_gps_rate_calc_method>
<doc_gps_freight_taxable dt:dt="i2">0</doc_gps_freight_taxable>
<_Purchase_Errors />
<doc_currency_compatibility dt:dt="string">cy</doc_currency_compatibility>
<doc_bill_to_country dt:dt="string">United States</doc_bill_to_country>
<doc_cy_total_total dt:dt="string" Type="decimal">7.25000</doc_cy_total_total>
<doc_shipping_total dt:dt="i4">325</doc_shipping_total>
<doc_cc_number dt:dt="string">4828500531471028</doc_cc_number>
<doc_gps_expiration_date dt:dt="datetime">1/1/1900 12:00:00 AM</doc_gps_expiration_date>
< <doc_cy_handling_total dt:dt="string" Type="decimal">0</doc_cy_handling_total>
<doc_bill_to_email <doc_gps_misc_taxable dt:dt="i2">0</doc_gps_misc_taxable>
<doc_ship_to_phone dt:dt="string">410-325-3531</doc_ship_to_phone>
<doc_cy_gps_freight_tax_included dt:dt="string" Type="decimal">0.0</doc_cy_gps_freight_tax_included>
<doc_gps_exchange_date dt:dt="datetime">1/1/1900 12:00:00 AM</doc_gps_exchange_date>
<doc_cy_gps_freight_tax_total dt:dt="string" Type="decimal">0.00000</doc_cy_gps_freight_tax_total>
<doc_cy_gps_misc_tax_total dt:dt="string" Type="decimal">0.00000</doc_cy_gps_misc_tax_total>
</SalesOrder>',
@2k5 = @XML

EXEC sp_xml_preparedocument @h OUTPUT, @XML

SELECTdoc_cy_oadjust_subtotal

FROMOPENXML (@h, ' WHAT WILL COME HERE')
WITH(
doc_cy_oadjust_subtotalVARCHAR(100)'Name'


)

EXEC sp_xml_removedocument @h


can anyone tell me what will come in that maroon coloured? - 'WHAT WILL COME HERE' - instead of '/campaignrequest/requestor'

like i saw one example in this forum like:

<campaignrequest>
<requestor>
<emailaddress>test@test.net</emailaddress>
<name>CS Tester</name>
<company>EEE</company>
<phone>425-283-1480</phone>
</requestor>
<sponsor>
<alias>test@test.net</alias>
<name>CCC Sponsor</name>
</sponsor>
</campaignrequest>
---------------------------------------------


DECLARE@h INT,
@XML VARCHAR(8000),
@2k5 XML

SELECT@XML ='
<campaignrequest>
<requestor>
<emailaddress>test@test.net</emailaddress>
<name>CS Tester</name>
<company>EEE</company>
<phone>425-283-1480</phone>
<phone>555-555-1234</phone>
</requestor>
<sponsor>
<alias>test@test.net</alias>
<name>CCC Sponsor</name>
</sponsor>
</campaignrequest>
',
@2k5 = @XML


EXEC sp_xml_preparedocument @h OUTPUT, @XML

SELECTemailaddress,
name,
company,
phone1,
phone2
FROMOPENXML (@h, '/campaignrequest/requestor')
WITH(
emailaddressVARCHAR(100)'emailaddress',
nameVARCHAR(100)'name',
companyVARCHAR(100)'company',
phone1VARCHAR(100)'phone',
phone2VARCHAR(100)'phone'
)

EXEC sp_xml_removedocument @h

thanks if someone help me to figure this out.

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Jul 20, 2005

Hello,I have a table that has a name field with the following datajohn doejohn doe smithjohn d smithI need to separate the first, middle and last names into separatefields. ex. first varchar (20), middle varchar (20) and last varchar(20).I am testing the process that I have to follow by doing the followingcreate table names (name varchar (40),first varchar (20),middle varchar (20),last varchar (20))insert into names (name)values (john doe smith)I get an error message when I run the following query:update bset first = substring(name, 1, (charindex('', name)-1))The error message is:Server: Msg 536, Level 16, State 3, Line 1Invalid length parameter passed to the substring function.The statement has been terminated.Does anybody have any suggestions?TIAja

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Jul 4, 2007

I am fairly new to SQL and am trying to write a function to parse the ip address into 4 sections. I have been searching through the forums to see if anyone has a posted example of parsing an ip address but could not find one.

I am wondering what would be the best method of doing this, or if anyone has an example.

Thank you

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Jun 4, 2007

Hi All!

I have a table, tblstudents that has the fields strfirstname and strlastname. The table was imported from MS Acess where they were storing the first name and the lastname in the same field. Sucks doesn't it? Anyway, I need to write a script to extract the first name from the lastname and insert it into the first name field which is blank. So far I figure I can use select into, but need to find a way to tell sql server to take the fart of the field after the comma (the first name) and to delete the comma becuase I won't need it anymore.

Help!

Select '%,' into tblclients as strfirstname from tblclients

I know this won't work, but I want to show you all I'm at least trying!

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Jun 7, 2007

This script parses the @@VERSION global variable into individual columns.

I developed it because I wanted to be able gather standard info on all versions.

I know there are functions for a lot of this, but only starting with SQL 2000.

It seems to work with all versions of SQL Server from 7.0 through 2005.

I haven't tested with 6.5 and before or 2008, because I don't have either available.

Please report any problems you see.

Edit: 2007-7-31
1. Changed SQL_SERVER_MAJOR_VERSION to varchar(20)
2. Added code to create a view named V_SQL_SERVER_VERSION
3. Added four new columns to the view:
SERVER_NAME, value from @@servername
SQL_SERVER_MAJOR_VERSION_NUMBER, Example: 9
SQL_SERVER_VERSION_NUMBER, Example: 8.0020390000
WINDOWS_VERSION_NAME, Example: 'Windows 2000'


Edit: 2007-8-2
Changed SQL_SERVER_MAJOR_VERSION to varchar(40)





select
SQL_SERVER_MAJOR_VERSION =
convert(varchar(40),substring(L1,1,L1_BREAK_1-1)),
SQL_SERVER_VERSION =
convert(varchar(20),substring(L1,L1_BREAK_1+3,L1_BREAK_2-(L1_BREAK_1+3))),
SQL_SERVER_PLATFORM =
convert(varchar(20),substring(L1,L1_BREAK_2+2,L1_BREAK_3-(L1_BREAK_2+2))),
SQL_SERVER_EDITION =
convert(varchar(30),substring(L4,1,L4_BREAK_1-1)),
WINDOWS_VERSION =
convert(varchar(20),substring(L4,L4_BREAK_1+4,L4_BREAK_2-(L4_BREAK_1+4))),
WINDOWS_BUILD =
convert(varchar(20),substring(L4,L4_BREAK_2+2,L4_BREAK_3-(L4_BREAK_2+2))),
WINDOWS_SERVICE_PACK =
convert(varchar(30),substring(L4,L4_BREAK_3+2,L4_BREAK_4-(L4_BREAK_3+2)))
from
(
select
L1_BREAK_1 = charindex(' - ',L1),
L1_BREAK_2 = charindex(' (',L1),
L1_BREAK_3 = charindex(')',L1),
L4_BREAK_1 = charindex(' on Windows',L4),
L4_BREAK_2 = charindex(' (',L4),
L4_BREAK_3 = charindex(': ',L4),
L4_BREAK_4 = charindex(')',L4),
L1,
L4
from
(
select
L1 =
convert(varchar(100),
rtrim(ltrim(replace(substring(zz,1,charindex('#1#',zz)-1),'Microsoft SQL Server','')))
) ,
L4 = rtrim(ltrim(substring(zz,charindex('#3#',zz)+4,100)))

from
(
select
zz = stuff(yy,charindex(Char(10),yy),1,'#3#')
from
(

select
yy = stuff(xx,charindex(Char(10),xx),1,'#2#')
from
(
select
xx =stuff(VERSION ,charindex(Char(10),VERSION),1,'#1#')
from
(
select VERSION = @@VERSION
) a ) a1 ) a2 ) a3 ) a4 ) a4

Results:

SQL_SERVER_MAJOR_VERSION SQL_SERVER_VERSION SQL_SERVER_PLATFORM SQL_SERVER_EDITION WINDOWS_VERSION WINDOWS_BUILD WINDOWS_SERVICE_PACK
------------------------ -------------------- -------------------- ------------------------------ -------------------- -------------------- ------------------------------
2000 8.00.2039 Intel X86 Standard Edition Windows NT 5.0 Build 2195 Service Pack 4

(1 row(s) affected)





drop view [dbo].[V_SQL_SERVER_VERSION]
go
create view [dbo].[V_SQL_SERVER_VERSION]
as
select
SERVER_NAME = @@servername,
SQL_SERVER_MAJOR_VERSION,
SQL_SERVER_VERSION,
SQL_SERVER_MAJOR_VERSION_NUMBER =
convert(int,floor(convert(numeric(20,10),substring(SQL_SERVER_VERSION,1,4)))),
SQL_SERVER_VERSION_NUMBER=
convert(numeric(20,10),(
convert(numeric(20,10),substring(SQL_SERVER_VERSION,1,4))*1000000+
convert(numeric(20,10),substring(SQL_SERVER_VERSION,6,30)))/1000000),
SQL_SERVER_PLATFORM,
SQL_SERVER_EDITION,
WINDOWS_VERSION_NAME =
convert(varchar(20),
case
when WINDOWS_VERSION = 'Windows NT 5.0'
then 'Windows 2000'
when WINDOWS_VERSION = 'Windows NT 5.1'
then 'Windows XP'
when WINDOWS_VERSION = 'Windows NT 5.2'
then 'Windows 2003'
else WINDOWS_VERSION
end),
WINDOWS_VERSION,
WINDOWS_BUILD,
WINDOWS_SERVICE_PACK
from
(
select
SQL_SERVER_MAJOR_VERSION =
convert(varchar(40),substring(L1,1,L1_BREAK_1-1)),
SQL_SERVER_VERSION =
convert(varchar(20),substring(L1,L1_BREAK_1+3,L1_BREAK_2-(L1_BREAK_1+3))),
SQL_SERVER_PLATFORM =
convert(varchar(20),substring(L1,L1_BREAK_2+2,L1_BREAK_3-(L1_BREAK_2+2))),
SQL_SERVER_EDITION =
convert(varchar(30),substring(L4,1,L4_BREAK_1-1)),
WINDOWS_VERSION =
convert(varchar(20),substring(L4,L4_BREAK_1+4,L4_BREAK_2-(L4_BREAK_1+4))),
WINDOWS_BUILD =
convert(varchar(20),substring(L4,L4_BREAK_2+2,L4_BREAK_3-(L4_BREAK_2+2))),
WINDOWS_SERVICE_PACK =
convert(varchar(30),substring(L4,L4_BREAK_3+2,L4_BREAK_4-(L4_BREAK_3+2))),
VERSION = VERSION
from
(
select
VERSION,
L1_BREAK_1 = charindex(' - ',L1),
L1_BREAK_2 = charindex(' (',L1),
L1_BREAK_3 = charindex(')',L1),
L4_BREAK_1 = charindex(' on Windows',L4),
L4_BREAK_2 = charindex(' (',L4),
L4_BREAK_3 = charindex(': ',L4),
L4_BREAK_4 = charindex(')',L4),
L1,
L4
from
(
select
VERSION,
L1 =
convert(varchar(100),
rtrim(ltrim(replace(substring(zz,1,charindex('#1#',zz)-1),'Microsoft SQL Server','')))
) ,
L4 = rtrim(ltrim(substring(zz,charindex('#3#',zz)+4,100)))

from
(
select
VERSION,
zz = stuff(yy,charindex(Char(10),yy),1,'#3#')
from
(

select
VERSION,
yy = stuff(xx,charindex(Char(10),xx),1,'#2#')
from
(
select
VERSION,
xx =stuff(VERSION ,charindex(Char(10),VERSION),1,'#1#')
from
( select VERSION = @@version ) a ) a1 ) a2 ) a3 ) a4 ) a4 ) a5
go
grant select on [dbo].[V_SQL_SERVER_VERSION] to public
go

select * from [dbo].[V_SQL_SERVER_VERSION]





CODO ERGO SUM

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Mar 9, 2007

Hi there,I am re-organizing the database. We used to have field 'names' in ourtable for our first name and last name. However, I want to have thosenames in different field.FYI, I have two different tables in different databases. The Adatabase contains A table with 'names" field. The B database containsB table with 'fname' and 'lname' I want to copy data A table to Btable.How can I parse names field into first name and last name fields?Here are some examples which are in the database.(id names01 John Doe02 John & Jane Doe03 Mr & Mrs Doe) something like this. It might contain '&' and two names. If thereare two names, then use first name.Thanks guys,

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Code Snippet
ALTER PROCEDURE [dbo].[GetNextQuoteID]
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
-- Insert statements for procedure here
SELECT MAX(quote_id)+1 as id From Quote
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K

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Hi.



Does anyone come across this error message whenever u try to parse ANY SQL statements in Management Studio 2005 (even parsing SELECT GETDATE() fails)...

>>>

.Net SqlClient Data Provider: Msg 0, Level 11, State 0, Line 0
A severe error occurred on the current command. The results, if any, should be discarded.
>>>

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------------------------------------
DECLARE @VAR
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------------------------------------
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------------------------------------
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------------------------------------
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Please let me know if you come across any name strings this function cannot parse.
CREATE function FormatName(@NameString varchar(100), @NameFormat varchar(20))
returns varchar(100) as
begin
--blindman, 11/04
--FormatName parses a NameString into its component parts and returns it in a requested format.
--
--@NameString is the raw value to be parsed.
--@NameFormat is a string that defines the output format. Each letter in the string represents
--a component of the name in the order that it is to be returned.
--[H] = Full honorific
--[h] = Abbreviated honorific
--[F] = First name
--[f] = First initial
--[M] = Middle name
--[m] = Middle initial
--[L] = Last name
--[l] = Last initial
--[S] = Full suffix
--[s] = Abbreviated suffix
--[.] = Period
--[,] = Comma
--[ ] = Space

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--Result: 'Von Finzer, Rev. Gregory R. Jr.'

--Test variables
-- declare@NameString varchar(50)
-- declare@NameFormat varchar(20)
-- set@NameFormat = 'L, h. F m. s.'
-- set@NameString = 'Reverend Gregory Robert Von Finzer Junior'

Declare@Honorific varchar(20)
Declare@FirstName varchar(20)
Declare@MiddleName varchar(30)
Declare@LastName varchar(30)
Declare@Suffix varchar(20)
Declare@TempString varchar(100)
Declare@IgnorePeriod char(1)

--Prepare the string
--Make sure each period is followed by a space character.
set@NameString = rtrim(ltrim(replace(@NameString, '.', '. ')))
--Eliminate double-spaces.
while charindex(' ', @NameString) > 0 set @NameString = replace(@NameString, ' ', ' ')
--Eliminate periods
while charindex('.', @NameString) > 0 set @NameString = replace(@NameString, '.', '')

--If the lastname is listed first, strip it off.
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iflen(@LastName) > 0 set@NameString = ltrim(right(@NameString, len(@NameString) - len(@TempString)))

--Get rid of any remaining commas
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--Get Honorific and strip it out of the string
set@TempString = rtrim(left(@NameString, charindex(' ', @NameString + ' ')))
if@TempString in ('MR', 'MRS', 'MS', 'DR', 'Doctor', 'REV', 'Reverend', 'SIR', 'HON', 'Honorable', 'CPL', 'Corporal', 'SGT', 'Sergeant', 'GEN', 'General', 'CMD', 'Commander', 'CPT', 'CAPT', 'Captain', 'MAJ', 'Major', 'PVT', 'Private', 'LT', 'Lieutenant', 'FATHER', 'SISTER') set @Honorific = @TempString
iflen(@Honorific) > 0 set@NameString = ltrim(right(@NameString, len(@NameString) - len(@TempString)))

--Get Suffix and strip it out of the string
set@TempString = ltrim(right(@NameString, charindex(' ', Reverse(@NameString) + ' ')))
if@TempString in ('Jr', 'Sr', 'II', 'III', 'Esq', 'Junior', 'Senior') set @Suffix = @TempString
iflen(@Suffix) > 0 set @NameString = rtrim(left(@NameString, len(@NameString) - len(@TempString)))

if @LastName is null
begin
--Get LastName and strip it out of the string
set@LastName = ltrim(right(@NameString, charindex(' ', Reverse(@NameString) + ' ')))
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set@TempString = ltrim(right(@NameString, charindex(' ', Reverse(@NameString) + ' ')))
if@TempString in ('VAN', 'VON', 'MC', 'Mac', 'DE')
begin
set @LastName = @TempString + ' ' + @LastName
set @NameString = rtrim(left(@NameString, len(@NameString) - len(@TempString)))
end
end

--Get FirstName and strip it out of the string
set@FirstName = rtrim(left(@NameString, charindex(' ', @NameString + ' ')))
set@NameString = ltrim(right(@NameString, len(@NameString) - len(@FirstName)))

--Anything remaining is MiddleName
set@MiddleName = @NameString

--Create the output string
set@TempString = ''
while len(@NameFormat) > 0
begin
if @IgnorePeriod = 'F' or left(@NameFormat, 1) <> '.'
begin
set @IgnorePeriod = 'F'
set @TempString = @TempString +
case ascii(left(@NameFormat, 1))
when '72' then case @Honorific
when 'Dr' then 'Doctor'
when 'Rev' then 'Reverend'
when 'Hon' then 'Honorable'
when 'Maj' then 'Major'
when 'Pvt' then 'Private'
when 'Lt' then 'Lieutenant'
when 'Capt' then 'Captain'
when 'Cpt' then 'Captain'
when 'Cmd' then 'Commander'
when 'Gen' then 'General'
when 'Sgt' then 'Sergeant'
when 'Cpl' then 'Corporal'
else isnull(@Honorific, '')
end
when '70' then isnull(@FirstName, '')
when '77' then isnull(@MiddleName, '')
when '76' then isnull(@LastName, '')
when '83' then case @Suffix
when 'Jr' then 'Junior'
when 'Sr' then 'Senior'
when 'Esq' then 'Esquire'
else isnull(@Suffix, '')
end
when '104' then case @Honorific
when 'Doctor' then 'Dr'
when 'Reverend' then 'Rev'
when 'Honorable' then 'Hon'
when 'Major' then 'Maj'
when 'Private' then 'Pvt'
when 'Lieutenant' then 'Lt'
when 'Captain' then 'Capt'
when 'Cpt' then 'Capt'
when 'Commander' then 'Cmd'
when 'General' then 'Gen'
when 'Sergeant' then 'Sgt'
when 'Corporal' then 'Cpl'
else isnull(@Honorific, '')
end
when '102' then isnull(left(@FirstName, 1), '')
when '109' then isnull(left(@MiddleName, 1), '')
when '108' then isnull(left(@LastName, 1), '')
when '115' then case @Suffix
when 'Junior' then 'Jr'
when 'Senior' then 'Sr'
when 'Esquire' then 'Esq'
else isnull(@Suffix, '')
end
when '46' then case right(@TempString, 1)
when ' ' then ''
else '.'
end
when '44' then case right(@TempString, 1)
when ' ' then ''
else ','
end
when '32' then case right(@TempString, 1)
when ' ' then ''
else ' '
end
else ''
end
if ((ascii(left(@NameFormat, 1)) = 72 and @Honorific in ('FATHER', 'SISTER'))
or (ascii(left(@NameFormat, 1)) = 115 and @Suffix in ('II', 'III')))
set @IgnorePeriod = 'T'
end
set @NameFormat = right(@NameFormat, len(@NameFormat) - 1)
end

Return @TempString
end

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