Queries :: Removing Special Characters Where Original Data Length Varies
Mar 1, 2014
I thought I had solved my initial problem of removing the apostrophe character for each zip code field. Most of the fields have data that reads '12345-1234'. I want to remove each (') character and the "-1234" so I end up with a zipcode of 12345.
I created 2 queries for this process. I first run a query with the following statement "Left([ZIP],Len([ZIP])-6)". That gets rid of the "-1234' ".
The I run the second query with this statement "Right([ZIP],Len([ZIP])-6)".
These 2 queries work perfectly if the original zipcode is " '12345-1234' ", but if it is " '12345' ", the entire zipcode is deleted.
I have attached 3 (.jpg)'s to show you what I am talking about.
In my database there is one value that requires the use of a /. (This is not as a name of anything...just a value stored in one of the fields.) I have a form which functions beautifully in all other regards, but it produces an error about syntax of the subquery in the expression if I try to use this value as a criteria for a search/filter (screen shot of error message attached).
I've tried using double quotes and square brackets around the / and a in front of it to no avail. I don't have the option of changing the value...it is defined by this multi-billion dollar project. Again, this is just a piece of data in a field in a record which also needs to be a criteria in some searches/filters.
I want my to detect special characters in my descriptions that are not found on keyboard and display as error. Tried using the following
Description check: IIf([Common Description] Is Null Or [Common Description] Not Like "*[!a-z0-9@=.^_$%!#&'`(){|}*?~[]/-]*" And [Description Local] Is Null Or [Description Local] Not Like "*[!a-z0-9@=.^_$%!#&'`(){|}*?~[]/-]*","<<Error Desc>>","OK")
but when i tested it using some data, it shows all as <<Error Desc>>
some of the special characters i want to check for are βuΩ etc.
So if my description contains characters that are not: a-z OR 0-9 or any of the following ~!@#$%^&*()_+=-`][';/.,<>?:"{}|~
I am trying to query on a field for any that contain special characters. How can I accomplish this? I do not know what special characters could be in this field, so I would want to query for ANY special character.
I want to hide the Navigation Pane as well as the full menus and "special keys". I do that by going to the options tab and removing the appropriate check marks.However, it does not seem to work! No matter how many times I do it, if I hold the shift key, the navigation pane is still there.
I have a question regarding special characters that access doesn't like to see.
When passing a string to be absolved via html, if I set myHtmlBody = "<font color="#000FF"></font> it will throw a syntax error because of the # character.
I faced a dilemma over the weekend in that I needed to preview and then print the ascii character 219 (A black block) on a report. It overlayed a paper calendar form that we use to print temporary access passes for where I work. The black blocks would indicate the days for the pass. Unfortunately, using Chr(219) did not work - so I searched the forums here and had a bit of luck, but still the solution remained elusive. Finally (and I should have done this first :)) I went to Help in access and found the answer.
To view or print any special character go to the start button on the computer, then navigate to programs, then accessories, then tools, then character map. Once there, choose whatever character you want and write down the Unicode number that applies. In my case, 2588. Convert that to decimal (Because it is in Hex) to 9608 and use an SQL statement Yourfield = ChrW(9608) to view or print it. The W is added to let the program know that this is a Unicode character and not ascii.
I read a lot of ingenious solutions in the forum, but this one seems to be the most straight forward.
My search has been unsuccessful due to the search function refusing to play nicely with me and the fact that it's mixing up the problems with using special characters with field names, which isn't what I want.
My problem is I have comboboxes that looks up people's name and has a NotInLIst event to allow addition of new person. It uses split function and concentating query to keep data normalized while displaying the full name.
Access trips over, very hard, whenever there is a name that uses special character, which for obvious reasons, causes confusion. Example:
Mike O'Leary Thomas O'Calloway Janet Smith-Johnson Mary-Ann Johnson
Can anyone point me to a snippet I could use to trap for those names and help Access deal with it accordingly?
I have a Memo field that is used to be a description of a document. I don't know what the user will put in (could be anything), but it is eventually passed in a string to a query, etc.I discovered during testing that if an apostrophe is entered (Ex: This document explains how to deal with Joe's pleasant disposition.), it breaks my code. I then realized that all reserved words and characters would cause this problem.
I can get around this one just by using Replace(str, "'", "''"). However, I know there are others that will cause problems, and I don't want to end up with a string of replace statements just to fix them.
I have a table called: "tb_special_characters" with a field name [character]. In this table are values that I would like to remove from fields in another table ("tb_data", field name [Title]
The values in the "tb_special_characters" are thinks like . @ }
I'd like to run a query on tb_data.title that would replace any matching characters in tb_special_characters.character with nothing (I remove and close any spaces).
I'm trying to export either a report or a query to excel with a field name that has special characters "()". I wouldn't normally ever do this (everyone knows not to use special characters) but we're using this to import the excel document to a website, and the field name MUST be what they specified in order for the import to be successful. Is there any way to rename the field name at export, since I can't use special characters on the query or report itself?
The field name is currently DepType, but it must be " *Dependent Type Spouse/Partner or Child/Dependent (Required for Dependents only) " EXACTLY or it will not import.
My database has several tables (and queries) that have fields that contain people's names. Some names, like O'Neil, contain apostrophes. Other fields contain couple names, like Tom & Laura Jones. Both the ' and the & prevent queries, forms, and reports from working correctly.
Hello, I have an unbound form where the user enters feedback, usually > 255 chars. When they hit the "Submit" button, an append query adds this to a memo field on a table. A memo field should be able to hold 65,000 some characters however everything after 255 turns into a special character, mostly boxes. Any ideas on how to retain the text?
I have an asset database I am designing to manage our computer inventory and assets.
I am trying to get a DLookup to work with one of my forms that will auto-populate some of the fields depending on what is entered in to the ProductID field. For instance, Make, Model, Asset type...
My problem is that the string that returns contains special characters, specifically "#" and gives me the error message -
Run-time error '3075': Syntax error in date in query expression 'productID=EN371UA#ABA'.
My expression is definitely working, it just looks like it things it has something to do with date/time which it does not. Unfortunately, most HP equipment contains a # in the Product ID number.
Here is my expression -
Private Sub ProductIDCombo_AfterUpdate() Make = DLookup("Make", "productlist", "productID=" & [ProductIDCombo]) End Sub
Make is the field I am looking up from the ProductList table. The Product ID is the ID I'm looking up from the ProductList table to find the make. My problem is actually getting it to return the correct value of "HP or Dell or Lenovo". etc.
I am totally new at this database stuff. I have been searching the archives for a couple hours and confused on how to accomplish what I need to do. I saw references to using a module but I have not used that feature yet.
I am using Access 2003. I need to remove/delete " - " space dash space, "-" and "&" from a string in one field (DGName). I'm trying to do this with a make table query
DGName P1000 P1000 - SMLS P1000-CA (not a type error) UD000 - C&B V-NET
I'm using Access 2000 and want to filter the datas in a form based on a query. The query written as an SQL string has already a length of about 2000 characters. Now I want to filter this datas with information I get from a combo-box, and changed the RecordSource with additional statements in the WHERE part. Therefore the new RecordSource information can exceed the 2048 characters.
So I thought to use the filter-argument of the form instead. But the problem I have now is, that I would have to use "((First(T_Softwareversion.Softwareversionsname))>='B14')" as part of the filter argument. With using this I get the runtime error 3096. Using this as part of the WHERE part in the RecordSource works, but it works not using it in the filter argument.
Does anyone know a workaround for the first or the second problem?
I've been making small changes here and there to my database in Access 2013. I have left the original database in place and it has acquired many new records from the last month. I'm ready to start using the newly updated design version of the database, but I do not want to have to type all those new records into the new database to get it up-to-date. There has to be a way to import the data from the original database to the newly updated one.
Most, If not all of the fields have the same names, but some of the fields have changed, like to Combo boxes. I removed two or three unneeded fields, and added two or three. I understand the new fields will need to have data enter to them, but the remaining would be redundant and inefficient if I have to reenter all the recent records again.
How do I import the data from the original two tables to the new updated database? I only have two tables and they use a One-to-One relationship in both databases. The table's names are different, but as I mentioned earlier, the fields are mostly the same. Do I need to import into Excel, and then modify the data slightly, and then import into my new database?
I have a table [PickData] in a WMS (Warehouse Management System) database, that records details of each item picked. The key fields are;
[Movement] - a unique ID for a collection of items to be picked. [ToAssignRef] - the order ID [Product] - the product! [Picked] - the date/time the item was scanned [Pick Actioned] - the date/time the [ToAssignRef] was completed [Reason] - A code to indicate why an item could not be picked - AKA F3'd
An operative would be allocated a movement, connected to the [ToAssign Ref], containing a number of products to pick. If an item can not be picked for some reason the operative presses F3 and selects a reason (no stock, damaged etc). These F3'd items (other stock allowing) will later be picked on a different [Movement]. I need a query to identify the subsequent [Movements] and the associated fields following the occurance of an F3'd [ToAssignRef] & [Product].
I have a query, but it runs very slowly (perhaps due to the DB size currently 780K records). Is this the right approach, is there a better (faster) way to do this?
Code: SELECT PickData.ToAssignRef, PickData.Product, PickData.Picked FROM PickData GROUP BY PickData.ToAssignRef, PickData.Product, PickData.Picked HAVING (((DCount("[Movement]","[PickData]","([ToAssignRef]='" & [ToAssignRef] & "') AND ([Product]='" & [Product] & "')"))<>0));
Is it possible to once you have run a query be able to somehow double click on the results in order to either go to original record or see more details? Similar to "show details" in excel?
I have made some queries that are working well however they are specific in nature and once found display a list of results. I have left a field that uniquely identify them and are after a quick way to view the details of the results from the query rather than take the ID# and manually search the original table.
