I'm not quite sure that this is possible but, I figured that I would check with you experts out there before trying a new approach. I've done quite a bit of research and have not seen anyone quite figure this out yet.
We have a SQL Server 2005 application that stores and indexes documents to the database as an image data type. I'm able to do full-text queries against the documents without any trouble. I begin to run into problems when trying to pattern match social security numbers and drivers licenses stored in a full-text index. I have a user defined function that I call which runs my regular expression that checks for hits of a ssn or license number in the index. I have no problem getting hits when the data sits in a column.
I do need to mention that I have no trouble when searching for a ssn with a fixed value and where I know the ssn (ex: 123-45-6789). I am actually trying to find the existence of the pattern of ###-##-#### (ex: ^d{3}-d{2}-d{4}$) anywhere in the index. Any help would be very much appreciated.
I have a table ("MyData") with string columns that have nvarchar data that looks like this:
ColA -------- 42/90 78/109
I plan to do a mathematical grouping on the numerator (eg: 0-10,11-20,21-30, etc... ), So I need to grab the numerator and turn it into an int. For reasons I can't get into, I have to do this in pure T-SQL.
So my question: How would I write a select statement that regex pattern matches "^([0-9]+)/" on ColA and returns integers instead of text?
E.g. THis Query:
SELECT [magic t-sql syntax] as Converted_ColA from MyData
I am doing some analysis on our customer base and their payment profiles. I have generated two profile strings, one for whether the balance of an account has gone up or down and one for the size of the balance in relation to the normal invoice amount for the customer. So (for example) the balance movement string will look like this:
UUUDUUUDUUUD-D00 Where U = Up, D = Down, - = no change and 0 = no change and no balance
I want to analyse these strings in two ways. The first is that I want to find customers with a similar pattern: in the example below the first and last patterns are the same, just one out of sync but should be considered the same
Movement Multiple CountRecords UUUDUUUDUUUD1230123012301175 ------------0000000000001163 UDUUUDUUUDUU3012301230121082
The second type of analysis is to find customers whose pattern has changed: in the examples above the patterns are repeated and therefore 'normal' in the records below the patterns have changed in that the first part does not match the second part.
Movement Multiple CountRecords UUDUUUDUUUUU-----------07 UDUUUDUUUUUU------------7
good way to approach this without either a cursor or a hidden REBAR. The challenge as I see it is that I have to interrogate every string to find out if there is a repeating pattern and if so where it starts and how long it is (heuristic because some strings will start with a repeating pattern and then the pattern may change or deteriorate) and then compare the string for N groups of repeating characters to see if and when it changes and I can't think of an efficient method to do this in SQL because it is not a set based operation.
Hi everyone. I'm developing a web search engine using asp and SQL Server 2000. I need to return records that matches with a string entered by users. In example, suppose my database to have this structure and it's filled like this:
ID NAME KEYWORDS --- ------- ----------- AA025 NAME1 attached, atic, common, business, hotels AA026 NAME2 headache, medicin, aspirins, heat, health AA027 NAME3 at, services, music, electronics
suppose that user enters 'at'. By now, i'm using this pattern '%<input_text>%'. So in this example, pattern would be '%at%'. As i remarked in the fields above, the three fields matches, and that's not what i'm looking for. I want that the result of that query be just the last field, with 'AA027' ID. Thanks in advance guys. Cheers.
I've been trying to find and filter out data that can cause FOR XML to fail with the error:FOR XML could not serialize the data for node ?? because it contains a character (0x0006) which is not allowed in XML.I thought it would be simple, just identify the rows that don't match the XML spec URL...
However, the following doesn't work. select fieldname from tablename where fieldname like N'%[^'+nchar(0x9)+nchar(0xA)+nchar(0xD)+nchar(0x20)+N'-'+nchar(0xD7FF)+N']%'
Not only does this fail to find the offending rows, when I checked by inverted it by taking out the "^" it still returns no rows.When I reduced 0xD7FF down to 0xFF it returns data, but I cannot add the other range back in without all rows not matching.I've experimented with values and found 0x02E9 was the highest I could go without all values vanishing. Even then, numbers lower than that caused a large variation in the number of rows returned.My Field is NVarchar(100) in SQL_Latin1_General_CP1_CI_AS.
I've decalred this stored procedure with a simple where and like statement. The problem is I don't see any result. Here is my code
create procedure sp_Select_ProfileNames @NameSearch varchar(50) as select ProfileFirstName +' '+ ProfileLastName as ProfileName from Profiles where ProfileLastName like '%@NameSearch%';
When i change this line: where ProfileLastName like '%@NameSearch%'; to where ProfileLastName like '%Bil%';
I see names starting with Bil, but when i enter Bil as param, I don't get anything.
I want to check for multiple patterns in a particular column. For one pattern I can write e.g. SELECT * FROM <TablName> WHERE ColumnName LIKE '%abcd%'.
My requirment is to select all rows for which column value matches with many patterns.I will fetch the patterns in a subquery e.g. (SELECT '%'+name+'%' FROM <TableName>)
I have a table called MessageBoard. It has a column called Messages. A user can type text including any html tags through a text area ans when he saves it by clicking a button, the content typed by the user is saved in the MessageBoard Table (in the Messages) column. So once saved, the html tags are kept intact. If I have to find and replace certain html tags, what kind of SQL Query I have to write? For example I want to find all the <pre> </pre> tags and replace it with <p> </p> tags. How do I do this?
Is it possible to do pattern matching against a string using FINDSTRING or similar in a derived column expression without recourse to including 3rd party regexp style plugins?
I want to seach for a reference in a string which will have the format ANNNNNAAA ie. an alpha with a certain value followed by 5 digits followed by three alphas with specific values.
Hello everyone ! I want to perform Full Text Search with SQL Server 2000. My documents (.doc, .xls, .txt, .pdf) are stored in a SQL Server field which is binary (the type of the column is image). I would like to know, how you can extract pieces of text from the documents. Example: I have a ASPX page with codebehind in C# making the search in a table in SQL server that is full text indexed. I make a search looking for the word "peace", than SQL server will take care about the search and return it to me the rows that match with that. But also I'd like to extract the 50 characters before and after where sql server found the word "peace" to show in the result page. Does anyone has any idea how to work around it ? Best regards. Yannick
Consider the following: I have a table, say ORDERS, with these entries -
CustID ProductID 1 CAN 2 2 3 1,2 4 4 5 1,2,3,4,5,CAN 6 10 7 CAN 8 1,CAN
I'd like to write a script to return only those rows WHERE ProductID = CAN along with other values in the same column. In this example, I'd like to return rows 5 & 8. How can I write this in T-SQL? So, say, check if ProductID has a comma ',' value plus the 'CAN' string. If yes, then return that row. If I use the LIKE operator, it'll return rows 1,5,7, and 8.
In sp_create_plan_guide documentation, it's written:
When SQL Server matches the value of statement_text to batch_text and @parameter_name data_type [,...n ], or if @type = 'OBJECT', to the text of the corresponding query inside object_name, the following string elements are not considered:
White space characters (tabs, spaces, carriage returns, or line feeds) inside the string. Comments (-- or /* */). Trailing semicolons
On SQL Server 2008 SP3, I created a plan guide for a query. Now, if I execute the query exactly how it was defined in the plan guide, SQL Server match it and use the plan guide to optimize the query.
However, if I add just a space between a column name and an operator in the WHERE clause, the plan guide is ignored. How come it doesn't ignore the extra space, like mentioned in the documentation?
I have table Called as ‘DC_BIL_ActivityLog’ and XML column name is ‘ActivityDescription’ in SQL Server 2012.
The following information stored on that Column. I want to read cancellation date (12/23/2015) using select statement.
<ActivityDescription> <text value="PCN was initiated for Policy ^1 on 12/07/2015. Cancellation Date is: 12/23/2015. Amount needed to rescind PCN is: $XX.80." /> <link id="1" linkText="GLXXXP2015 12/02/2015 - 12/02/2016" linkType="policy"> <linkId parm="1" value="1140" /> </link> </ActivityDescription>
Here is a sample order # we used for one of our shipments: BL-53151-24954-1-0001-33934
I need to extract the "24954" portion of that order # while within an INNER JOIN, but not sure how.
My problem is we have 2 order tables: OrderTable1 contains a field with the full order #. OrderTable2 contains a field with only the "24954" portion. I need to JOIN on these 2 fields somehow.
SELECT ot1.Full_Order_No , ot2.Order_No FROM OrderTable1 ot1 INNER JOIN OrderTable2 ot2 ON ot2.Order_No = [do something here to truncate ot1.Full_Order_No]
How can I do this?
Few notes:
-the 1st part of the order number, "BL-53151-" will ALWAYS be the same. It's our client # which will never change for the purpose of this query. -The portion I need (24954) can be more or less than the 5 current digits. -There will always be 6 portions to the order number, split up between 5 dashes.
hi i have a table with a column which contains a large paragraph of data. i need to search for a pattern within this text and update it.
for example the column contains 4096 char. within this text, i search for a pattern"qwerty" and convert it to "asdfgh". any ideas how this can be done? i'm using sql server 2000 i have to write something like UPDATE [DB].[dbo].[Table] SET [Column1] = '.............', WHERE .......... any help will be appreciated.
I tried creating one simple bar chart report in SSRS, with background fill with pattern "UpwardDiagonal", the stripes on the column when viewed insider report viewer control is quite prominently visible, whereas when exporting the same report to PDF the lines are very thin and dense and hence makes it very difficult to differentiate between one column with pattern inside and one without. I have even tried various other pattern like "LightUpwardDiagonal" and "WideUpwardDiagonal" but all have same result when exported to PDF.why?
I have a parameter value as shown below and this is dynamic and can grow
Example : 101-NY, 102-CA, 165-GA 116-NY, 258-NJ, 254-PA, 245-DC, 298-AL How do I get the values in the below format NY,CA,GA --- each state to be followed with comma and the next state NY,NJ,PA,DC,AL --- each state to be followed with comma and the next state
correct query that will fetch only state names and not the numbers.
Andrew Worral writes "I am currenly working on a website that uses Full Text search to search the name of companies.
We are having trouble figuring out what tools are best suited for this with SQL 2005 Standard/Enterprise and how to implement them.
The first issue to address would be Misspelling of words. Such as Looking For "Davids Shoe Repare" and returning "David's Shoe Repair"
Besides the spelling in "Davids Shoe Repare" there is also the issue of the " ' " in David's which we have not come up with a good solution for yet. So a search for David will not returns "David's"
I have done a little looking into Fuzzy matching with Integration Services but I am not sure this is the right tool, nor am I sure of the overhead involved and any speed issues with this. Nor am I in any way overly familiar with Integration Services.
What would the syntax be to insert a column to the right of this one, and extract the first 8 digits from the data in the DATEID column and insert that into the new column DATE, therefore making it easier for me to query against an actual date?
I have a long text in 'Quote' column as below and i have to extract Trip Duration, Destination and Base Rate from this text. The ‘Base Rate’ will be repeated throughout the text if there is more than one traveler and I only need the first instance.
Begin Quote Calculation<br /> <br />....<br /> Agent Id: 001<br /> Trip Duration: 5days<br /> Relationship Type: Individual<br />....nDestination: AreaTwo<br /> <br ...../>Resolved Trip Type To: 1 with Trip Subtype: 0<br /> Resolved Relationship: Individual....... /> *Base Rates*<br /> Base Rate: 6.070000<br />.....Resolved Trip Type To: 2 with Trip Subtype: 0<br /> Resolved Relationship: Individual....... /> *Base Rates*<br /> Base Rate: 9.070000<br />.....
Result
Trip Duration: 5 days Destination: AreaTwo Base Rate: 6.070000
I need to pull certain text from a large varchar field with up to 2 GB-per-instance capacity based on COCustServ
Example Entry: 'KSAUNDERS COCustServ 4/11/2006 5:58:31 PM -- patient called to verify exp date based on letter he received. SJOY RN 3/27/2006 3:46:56 PM -- Test Ordered: 70460/36yof MANTHONY COCustServ 3/27/2006 4:52:58 PM -- site called to chk sts.'
I will need to pull text in two seperate columns before COCustServ (username) and after COCustServ (date) which could appear multiple times in the same entry. In this case I will need to pull
First of all I am a novice here. I am working on a table with a column of URL. I want to seperate the data in the URL delimited by '/'. Eg: http://www.simpletech.com/upgrades/aopen/s661fxm/s661fxmintelp4/
Here I want aopen as manufacturer, s661fxm as model_number and intelp4 as submodel_number. I solved this problem in Oracle using substring and instring. But I have no ides how to achieve this in SQL server. Please..advice me. Thanks in advance.
