My company has a really old Access 2003 .ADP front-end connected to an on-premise SQL Server. I was trying to update the front-end to MS Access 2016, which is what we're transitioning to, but when linking the tables I get all the fields in this specific table as #Deleted. I've looked around and tried to change some of the settings, but I'm really not that into SQL Server to know what I'm doing, hence asking for help.
When converting the table to local, all the info is correctly displayed, so it begs the question. Also, skipping to the last record will reveal the info on that record, or sorting/filtering reveals some of the records, but most of the table stays "#Deleted"...
Since I know you're going to ask: Yes, I need to edit the records.. Although the snapshot method would work for people trying to view the info, some of us need to edit it.
I'm hoping someone can shed some light on this,
Thanks in advance, Rafael.
There are 3 common reasons for this:
You have bit fields in SQL server, but they are null. They should be assigned a default of 0.
The table in question does NOT have a PK (primary key).
Last but not least you need (want) to add a timestamp column. Keep in mind that this is really what we call a “row version” column (so it not a date/time column, but a timestamp column). Adding this column will help access determine if a record been changed, and this is especially the case for any table/form in Access that allows editing of “real” number data types (single, double). If access does not find a timestamp column, then it reverts to a column by column comparison to determine table changes, and due to how computers handle “real” numbers (with rounding), then such comparisons often fail.
So, check for the above 3 issues. You likely should re-run the linked table manager have making any changes.
I’m using a software known as FME Desktop. In this software we can issue SQL commands through an item called a transformer. I’m using a transformer called a SQLExecutor that uses a very simple query to make a comparison. Below is an explanation of what I’m trying to do with this SQL Query and the fact that it does not work when trying to compare 2 text fields.
I believe my issue is a limitation of SQL when used in the SQLExecutor. Let's say I have a layer of data called TEST.LEASE and I want to compare it to a layer called EDIT.LEASE based on one unique ID field. Both of these layers are in the same database. We use SQL Server for our stored data. There is a TEXT field in both layers called GIS_ID. This is a unique ID field. So what happens is we get updates on our LEASE layer and they start off being loaded to TEST.LEASE. When we have done our QA/QC of the data and we are satisfied that they are ready to be uploaded to EDIT.LEASE we then run an FME job that serves as our promotion tool. What this promotion tool does is that it checks various fields in TEST.LEASE to make sure they qualify for being uploaded (this part works 100% without issue).
Right before they are promoted to EDIT.LEASE we need to know if this will be a completely new record, in which case we will do an INSERT with FME. If by chance the GIS_ID already exists then we need to do an UPDATE to those records. The tool we have works perfectly for determining if it is an INSERT or UPDATE, except for one seemingly small thing … IT ONLY WORKS IF THE TEXT FIELD CONTAINS A NUMBER THAT DOESN’T HAVE A LETTER IN IT.
FYI: Someone at our company decided to make the GIS_ID field a text field. In my opinion it should have been an integer field because comparisons would have been super easy. But I can't change that now, it has already been decided by people who make way more money than I do that it will be a text field.
As mentioned … The GIS_ID is a text field (in both layers and they are both the same size, there is no difference in the field in both layers). As you may know, SQL doesn't care if it is a TEXT field or an INTEGER field when all that is contained in that field is a number. It can still compare 202 to 202 to see if they are equal to each other. For my example let's say I have a record in both TEST.LEASE and EDIT.LEASE where both of their GIS_ID fields equal 09198760. When I run the query below it runs perfectly.
select OBJECTID
from TEST.LEASE_UPDATE_INSERT_WRITER
where GIS_ID = #Value(GIS_ID)
It runs perfectly, as I’ve mentioned, on the data if both GIS_ID text fields have only numbers in them. But if just one record contains an actual alpha, the SQL query will error out.
So if GIS_ID has 09198760a01 once the query reaches the “a” in GIS_ID a SQL error is returned. I’m not looking for a way for the job to continue and ignore those records, because I need ALL OF THE RECORDS to load. I need to know if anyone would know how to add to or rewrite the query above so that it loads both “number only text fields” and “numbers containing a letter fields.”
I hope that long explanation is clear. Please let me know if it isn’t. Thanks for any help you might be able to provide for me
Sincerely,
Tex
I am assuming that the #value is the function that is causing you problems. I briefly checked their docs. it looks like you need to encapsulate like so '#value(GIS)'
http://fmepedia.safe.com/articles/How_To/Executing-a-Stored-Procedure-on-Microsoft-SQL-Server-with-FME
Jeff is right and as a generic answer for regular sql users and even people using sql in their application code, if you are comparing text like the op mentioned, then you need to use single ' quotes '.
Where avalue = 'myvalue'
Otherwise sql server thinks it is an int, hence why it works when the value he's passing in is only numbers. It's not always easy to tell what the problem is when you're passing in parameters.
Where avalue = #myvalue
So you'll need to pay attention to that. Just wanted to mention this so maybe it helps someone else with a similar issue. I figured this out when we were getting errors from a field that had concatenated an id field i.e. it worked when the value = 2, but not 2,3 etc. Wrapping the parameter in single quotes easily fixed that as we were truly only concerned with value = '2' in our case.
Hope this makes sense.
I am working on converting an Access database to a SQL Server backend. I've got most of it working, but one thing I haven't been able to figure out yet is that on one of the reports that we run, a few fields show up as #Error! The field's Control source is:
=DSum("[CustomerMinutes]","QryOutageSummaryByDateRange","NZ([CityRelated])= 0")
It works fine as shown, but it takes a lot longer to load the report and the CityRelated field is a not null field, so I feel as though I shouldn't need to use the NZ() function. I have opened the query in datasheet view and there appropriately isn't any NULLs. I would be more than happy to provide more detail, I just don't know what other information I should provide. Any help or general direction would be greatly appreciated!
The database function (DSUM, etc.) are fussy about the use of brackets. Try this.
=DSum("IIF([CustomerMinutes] Is Null,0,[CustomerMinutes])","[QryOutageSummaryByDateRange]","[CityRelated] Is Null Or [CityRelated]=0")
If CustomerMinutes is never NULL then you can just use CustomerMinutes as the first argument.
Notice that the square brackets are around the table or query name, not necessarily required for a single field-name. (This is the opposite to the how the examples appear in the Help system.)
I always prefer to avoid NZ - it can, in my experience, cause problems with aggregate functions, or when used in a sequence of queries.
Is it possible to force a field to always be a certain value?
We have a website in production that writes a value entered by the user into a string field. Now, our requirements have changed and we no longer actually want to save this value. For technical reasons, we don't want to do a new publish just for this if we don't have to.
What would be ideal is to ALTER the table in such a way that the field will always be NULL and that existing INSERTS and UPDATES into the field will work as normal but SQL Server will NULL the field regardless.
This is a temporary thing. We will eventually change the code to not write this value.
Just looking for a quick way to NULL the field without changing code, republishing etc...
Is this possible? Is writing a trigger the only solution?
Thanks!
You could make an INSERT and UPDATE after trigger that will NULL the field each time it is updated / inserted into.
This is the quickest and easiest solution.
I have a huge database (800MB) which consists of a field called 'Date Last Modified' at the moment this field is entered as a text data type but need to change it to a Date/Time field to carry out some queries.
I have another exact same database but with only 35MB of data inside it and when I change the data type it works fine, but when I try to change data type on big database it gives me an error:
Micorosoft Office Access can't change the data type.
There isn't enough disk space or memory
After doing some research some sites mentioned of changing the registry file (MaxLocksPerFile) tried that as well, but no luck :-(
Can anyone help please?
As John W. Vinson says here, the problem you're running into is that Access wants to hold a copy of the table while it makes the changes, and that causes it to exceed the maximum allowable size of an Access file. Compacting and repairing might help get the file under the size limit, but it didn't work for me.
If, like me, you have a lot of complex relationships and reports on the old table that you don't want to have to redo, try this variation on #user292452's solution instead:
Copy the table (i.e. 'YourTable') then paste Structure Only back
into your database with a different name (i.e. 'YourTable_new').
Copy YourTable again, and paste-append the data to YourTable_new.
(To paste-append, first paste, and select Append Data to Existing
Table.)
You may want to make a copy of your Access database at this point,
just in case something goes wrong with the next part.
Delete all data in YourTable using a delete query---select all
fields, using the asterisk, and then run with default settings.
Now you can change the fields in YourTable as needed and save
again.
Paste-append the data from YourTable_new to YourTable, and check
that there were no errors from type conversion, length, etc.
Delete YourTable_new.
One relatively tedious (but straightforward) solution would be to break the big database up into smaller databases, do the conversion on the smaller databases, and then recombine them.
This has an added benefit that if, by some chance, the text is an invalid date in one chunk, it will be easier to find (because of the smaller chunk sizes).
Assuming you have some kind of integer key on the table that ranges from 1 to (say) 10000000, you can just do queries like
SELECT *
INTO newTable1
FROM yourtable
WHERE yourkey >= 0 AND yourkey < 1000000
SELECT *
INTO newTable2
FROM yourtable
WHERE yourkey >= 1000000 AND yourkey < 2000000
etc.
Make sure to enter and run these queries seperately, since it seems that Access will give you a syntax error if you try to run more than one at a time.
If your keys are something else, you can do the same kind of thing, but you'll have to be a bit more tricky about your WHERE clauses.
Of course, a final thing to consider, if you can swing it, is to migrate to a different database that has a little more power. I'm guessing you have reasons that this isn't easy, but with the amount of data you're talking about, you'll probably be running into other problems as well as you continue to use Access.
EDIT
Since you are still having some troubles, here is some more detail in the hopes that you'll see something that I didn't describe well enough before:
Here, you can see that I've created a table "OutputIDrive" similar to what you're describing. I have an ID tag, though I only have three entries.
Here, I've created a query, gone into SQL mode, and entered the appropriate SQL statement. In my case, because my query only grabs value >= 0 and < 2, we'll just get one row...the one with ID = 1.
When I click the run button, I get a popup that tells/warns me what's going to happen...it's going to put a row into a new table. That's good...that's what we're looking for. I click "OK".
Now our new table has been created, and when I click on it, we can see that our one line of data with ID = 1 has been copied over to this new table.
Now you should be able to just modify the table name and the number values in your SQL query, and run it again.
Hopefully this will help you with whatever tripped you up.
EDIT 2:
Aha! This is the trick. You have to enter and run the SQL statements one at a time in Access. If you try to put multiple statements in and run them, you'll get that error. So run the first one, then erase it and run the second one, etc. and you should be fine. I think that will do it! I've edited the above to make it clearer.
Adapted from Karl Donaubauer's answer on an MSDN post:
Switch to immediate window (Ctl + G)
Execute the following statement:
DBEngine.SetOption dbMaxLocksPerFile, 200000
Microsoft has a KnowledgeBase article that addresses this problem directly and describes the cause:
The page locks required for the transaction exceed the MaxLocksPerFile value, which defaults to 9500 locks. The MaxLocksPerFile setting is stored in the Windows registry.
The KnowledgeBase article says it applies to Access 2002 and 2003, but it worked for me when changing a field in an .mdb from Access 2013.
It's entirely possible that in a database of that size, you've got text data that won't convert to a valid Date/Time.
I would suggest (and you may hate me for this) that you export all those prospective date values from "Big" and go through them (perhaps in Excel) to see which ones are not formatted the way you'd expect.
Assuming that the error message is accurate, you're running up against a disk or memory limitation. Assuming that you have more than a couple of gigabytes free on your disk drive, my best guess is that rebuilding the table would put the database (including work space) over the 2 gigabyte per file limit in Access.
If that's the case you'll need to:
Unload the data into some convenient format and load it back in to an empty database with an already existing table definition.
Move a subset of the data into a smaller table, change the data type in the smaller table, compact and repair the database, and repeat until all the data is converted.
If the error message is NOT correct (which is possible), the most likely cause is a bad or out-of-range date in your text-date column.
Copy the table (i.e. 'YourTable') then paste just its structure back into your database with a different name (i.e. 'YourTable_new').
Change the fields in the new table to what you want and save it.
Create an append query and copy all the data from your old table into the new one.
Hopefully Access will automatically convert the old text field directly to the correct value for the new Date/Time field. If not, you might have to clear out the old table and re-append all the data and use a string to date function to convert that one field when you do the append.
Also, if there is an autonumber field in the old table this might not work because there is no way to ensure that the old autonumber values will line up with the new autonumber values that get assigned.
You've been offered a bunch of different ways to get around the disk space error message.
Have you tried adding a new field to your existing table using Date data type and then updating the field with the value the existing string date field? If that works, you can then delete the old field and rename the new one to the old name. That would probably take up less temp space than doing a direct conversion from string to date on a single field.
If it still doesn't work, you may be able to do it with a sceond table with two columns, the first long integer (make it the primary key), the second, date. Then append the PK and string date field to this empty table. Then add a new date field to the existing table, and using a join, update the new field with the values from the two-column table.
This may run into the same problem. It depends on number of things internal to the Jet/ACE database engine over which we have no real control.