I need to parse an regularly outputted rtf file and was wondering if it is possible in SSIS. I am trying to use the flat file connection manager to do this.
Now, I can't treat tab stops in an rtf like tab stops in a csv, since when you treat an rtf as a text file, you see the format code of the rtf. If I open the rtf in a text editor, the entire file is one line, with lines breaking with:
par}
Columns are tab delimited in the rtf, and they look like this when you treat the rtf as a text file.
plain abfs16f4cf0cb1
(or something like that, the word "tab" is the important part.)
So I use the "plain ab" part to delimit in SSIS, since that is consistent (planning to parse out all the garbage later on). The problem is, sometimes lines don't have a "city" and "state", so it "tabs" right over to the next field. So like this (looking in MS Word):
Phone <tab> City <tab> State <tab> Date <tab> Other fields.....
847-111-2222 <tab> Omaha <tab> NB <tab> 9/14/2007 <tab>
222-222-3333 <tab> 9/14/2007 <tab>
555-121-1212 <tab> Houston <tab> TX <tab> 9/14/2007 <tab>
Now, if you treat an RTF as a text file, it has only one "plain abfs16f4cf0cb1" after the phone number, so even for the missing line there is only one tab, not 3. This is because in the beginning of the row tabs for each row are defined like this:
tql x90 ql x840 ql....etc...
with "tql" and "tx" tags basically saying where all the tab stops are for that row. So for the row above with missing info, it lists fewer tab stops. So the "date" (and associated garbage) ends up under "City" for this row. All of the "Houston" row's data starts appearing in the sql server output table's 2nd last field, as you might expect.
Any suggestions how to pull this in in SSIS during the transformation? I could deal with it after I pull it in, I still have all the data. I'm thinking the logic to do this could be complicated though. I take the data out of the last two fields of the missing row into some other table, use UPDATES to shift the values 2 fields to the right, and then figure out a way to take the data I just put in a temp table back in, but it all sounds a bit complicated.
Let me know if this makes sense--I've almost got it going, I just need to sort this last bit out.
Currently have a single hard coded file path to the SSRS config file which parses the file and provides the reporting services web service url. My question is how would i run this same query against 100s of servers that may or may not share the same file path as the one hard coded ?
Is there a way to query the registry to find the location of the config file of any server ? which could be on D, E, F, H, etc.
I know I can string together the address followed by "reports" and named instance if needed, but some instances may not have used the default virtual directory name (Reports).
Am I going about this the hard way ? Is there a location where the web service url exists in a table ? I could not locate anything in the Reporting service database. Basically need to inventory all of my reporting services url's.
i am trying to read a qfx file from quicken. it looks like xml, but its not, but i cannot figure out how to grab what ive got to parse the line. i put this into a derived column, but its not getting it
because inside the data, it lools like that's what brackets a tranasction; the data looks like this and varies by trntype, but the columns are tagged like so
I have a tab delimited file with 122 columns. Can any one let me know if there is a better way of parsing/extracting few columns (say about 15) from the file and loading it into a table using SSIS.
Hello all, I have a question regarding importing text file data into SQL Server. I'm hoping someone can point me in the right direction, as my searches haven't turned up anything specific enough. I'm trying to parse a large (24MB) text file. It's a fixed-width file, with multiple columns. I need to parse this file, check if a record already exists, and then import the data into the database. But I don't need to insert every column. There's only a few columns from the file I need to insert. This parsing also needs to occur at regular intervals (daily). I looked at BULK INSERT, but I can't find an example that uses only some of the columns. Every example uses all columns, and the file is delimited, not fixed-width. Is there anything within SQL Server that can accomplish this? I haven't turned up anything that will solve my problem. The only other solution I can think of is an application that parses the file for me and inserts the data into the database. But can I schedule that application to run every night at midnight (for example) through SQL Server? I'm not too familiar with SQL Server, so I appreciate any help offered. Thanks,Jay
Summary A ABCD A Category MarketValue Margin A category1 1.0000000 1.000000 A category2 2.0000000 2.000000
H Totals Total Cash Net H 2.00000 200000 2000000
Another Summary B BCDE B Activity MarketValue Margin B activity1 3.00000 3.000000 B activity2 4.00000 4.000000
The items in blue are headers. I don't want to capture those. However, I want to capture all the data in black, and put it into 3 separate tables (or maybe the same table, under the appropriate column names)
This situation differs from anything I've done before in that you can't identify what row contains what data by what's in the row itself. That is, what's in the data rows is random and subject to change. So you can't search the row itself to determine which table it goes to.
However, if there's a way to capture all the rows after a certain header before the header changes again, that might work.
That is, get all rows between A Category MarketValue Margin and H Totals Total Cash Net and get all rows between H Totals Total Cash Net and Another Summary and get all rows after B Activity MarketValue Margin
The suggestion to do this is buried deep in one of my posts, however I still do not have a clear idea of how to do this.
I have a flat file which has several "bad rows" in it. Because file error redirection is buggy, I need a manual approach to get rid of these incomplete rows in my data file.
Phil, you suggested I read the file as one long string, then parse out the bad rows (using a script?).... however I have no idea as to how to actually do this.
I was wondering if it's possible to clarify the steps involved in doing this, or perhaps point me to an example I can look at, as I cannot seem to get around this problem on my own.
I know this has come up before and I have tried several of the solutions found within the forum but I just can't seem to import my file correctly and could use some input, please.
Sample file (less fields than actual file):
Name (str), Phone# (str), Description(str), Resolved(bool), Met(bool)
"Kay, Mary","123-4567","Used a "."not a"," in text", "1", "1"
The text is qualified with " and columns delimited with commas but the description field has embedded quotes and commas. Normally it works except if there embedded quotes and commas.
I have tried unqualified data and undouble, but that does not work either because of the embedded commas in quotes.
Do I need to do something before the data flow? Do I need to do custom code similar to undouble (I tried modifying undouble but using unqualified fields caused the source file to not like the data and go red)? Should the row be read as one field and parsed?
I have a website, where people upload tab delimited text files of their product inventories, which the site parses and inserts into a database table. Here's the catch: Instead of insisting that each user use a standardized format, each user can upload the file in whatever column order they want, they just have to let the site know through a GUI which column is in which order. And, they may upload columns that if not mapped, will be ignored. Right now, I am doing all of this in code and it runs slow, I was thinking of offloading this to either a stored procedure, ssis, or bulk upload. But, with the varying format of the uploaded text file, I am not sure how I could do that. Any suggestions? Thanks!
I have a CSV file with roughly 6 million rows. The file is unstructured; that is, some rows have 5 fields, others have 15, and there are as many 50 fields in one row.
I am using bulk insert to read the entire file into a table in database, with each row being a database record. With that, I have one column that contains a row of comma delimited fields. All fields are character string and I want to find a quick way of parsing each row and placing each comma-delimited value in a column. For example:
Column CSVString contains the a CSV row (I don't know how many filelds (no. of commas + 1) in the row, but if the row contains 10 fields, I need to populate columns C1-C10. If the row has 15 fields, I populate columns C1-C15.
How can I do this in a very efficient way? I tried CTE but performance was not very good.
I have a package that extracts data from a Flat File. If any errors or truncation occur during the extraction of the input data, the package should fail. All fields that have erroneous values should be reported in the log file.
My Solution: - I have created a Data Flow Task that contains a Flat File Source Adapter and a dummy destination.
- I have left the default "Error Output" configuration of the Flat File Source adapter, namely if a truncation or an error occur for a certain column, then the reaction is "Fail Component".
Problem: This configuration gives me only the first erroneous column in the row being processed.
Question: Is it possible to make the Flat File Source adapter continue parsing the current row before it fails? This way, I would be able to get all the erroneous columns in the row in one shot.
I am trying to process an XML document that contains the attribute 'from_x'. However an openxml query can't seem to find any column with a '_x' suffix. For example if I were to execute the following fragment:
What is parsing?? can someone give me an example please?? this what I got from BOL
Returns the specified part of an object name. Parts of an object that can be retrieved are the object name, owner name, database name, and server name.
I am new to SQL server and was wondering if someone can help me with this one. Thanks My table holds 2 columns (SECTOR and TERM) with following example values
SECTOR TERM Hybrid 6/18 Hybrid 9/19 Hybrid 10/17 Hybrid 3/13
I would like to find out the rows where my values from SECTOR before '/' does not equal TERM
Can you parse a SQL field? Let's say, FULLNAME field got a TEXT datatype with the following data: <firstname>Norm</firstname><lastname>bercasio</lastname><Color>blue</color>then using a select statement, parse the field to find the lastname then write it to another field called LASTNAME on the same table, same rowID. Can you send a select statement how it can be done? I am using SQL 2003 or 2005. thank you so much.
I'm using a SQL selection to fill a DataGrid. One of the fields I have is called diagnosis. This field in the database can contain multiple diagnosis. But I use a set of characters to divide each diagnosis. Example : Sick!@#$%Hurt!@#$%Ill!@#$% My problem is this is how it looks in my Data Grid. Can someone tell me how to parse out each diagnosis.
How to remove same repeated string in a column per row from a table? Looked at replace, stuff string functions, but none take a column name as a parameter.
Anybody out there ever take a column containing names and parse it out to salutation, first name, middle initial/name, last name, suffix using Transact-SQL? I think I know how to do it using an array in a procedural language, but using SQL I'm drawing a blank.
I have a varchar field that contains answers to questions separated by commas. Say there are 4 questions for each user. Here is an example of what the table would look like: User Answer 1 Good,Fair,Good,Bad 2 Bad,Good,Good,Good 3 Fair,Good,Bad,Fair
I need to write a stored procedure to report off of that separates the Answer field into 4 different columns. How can this be achieved? Any assistance would be greatly appreciated.
Can anyone tell how I can parse the WHERE clause of an SQL statement to check for special characters such as ''' (single quotes) in fields of type varchar?
I have a large file of over 40k email records. The emails are all mixed up and come in various formats but i noticed that most of them are in this format:
For all those emails with the period (.) in between, the (.) actually separates an individuals first and last name.
My task is this, to separate all the emails that are in this format into first and last name fields. I'm stimped folks and I'll really appreciate any pointers or ideas on how to go about solving this task.
Parsing Address This is not really a reply, but I saw the problem and the replies look very promissing. I'm using ss2k, I have a table with an address column. here is some example of the records under ADDRESS :
WILLOW CREEK PL RED BARN DR RED BARN DR CARRINGTON DR RENNER RD EDMONTON CT SPRINGBRANCH DR HILLROSE DR CEDAR RIDGE DR LARTAN TRL PRESIDENT GEORGE BUSH HWY
What I want to do is to write script that runs daily and parse the street names (RED BARN) and street types (Dr, PL , etc.. ) to 2 colums. As u can see there is no fixed length or fixed number of words ...etc ... Any help would be really appreciated. thnks
can anybody translate to Transact SQL specifically the example of create function elemIdx i didnt understand how he used recursion may b cuz the language is odd to me i didnt get it