I am attempting to upload an Excel document into Access. I have used VBA to unhide all columns and rows and then delete columns and rows that are not being used. All of the worksheets upload into Access properly except one. This particular worksheet attempts to upload a field and label it Field 12. I am unable to find a way to delete this field. Any help?
It is probably the first column after your data...
Try either in VBA or in Excel deleting the columns to the right of your data (not just contents but an actual delete). I've found this typically happens when the columns to the right of your data contained data at one point and Access / Excel sees those as still containing data. Then try your import again.
Alternatively, you could upload into a new Access staging table before pulling your desired known columns into the final table through an INSERT query. Then you can delete the staging table if you like or delete it before the next import. In this way, each import can have its own "added columns".
Related
I'm trying to insert a manual column in between a Big Query generated extract columns via Connected Sheet. Basically, I already have a Google Connected Sheet which is pulling from Big Query via SQL. Whenever I try to insert a manual column in between columns generated by the query though, it automatically moves the manual column to the very end on the right or to the very end on the left. I don't want this. I want to be able to insert a manual column in between a Big Query generated column in a Google Sheet.
Is it not possible to do this? Or is there another way to be able to pull something like this off? I can't find any videos or specific documentation on if it's possible.
See below answer to questions:
Is it not possible to do this?
As per this documentation:
Direct access to BigQuery datasets and tables is still controlled within BigQuery. A user with Sheets-only access can perform analysis in the sheet and use other Sheets features, but the user will not be able to perform the following actions:
Manually refresh the BigQuery data in the sheet.
Schedule a refresh of the data in the sheet.
Hence, you cannot manually create a column when you use Connected Sheets when accessing Bigquery Data. The main function of Connected sheets in this use case is to analyze and visualize data from Bigquery, and not to manipulate data.
Is there another way to be able to pull something like this off?
Option 1: extract from Sheets the data from Bigquery
Then you can see that the Insert function is enabled. You may insert another column in this extracted sheet:
Option 2: Download the sheet as an excel file and insert column in between once downloaded:
I have a large table in my SQL database with a few million rows so I can't just load it into excel. I'd like to setup a data connection in Excel to the database which I can do now, but I want to be able to open the excel sheet, type my search parameter in a cell and then have the matching rows returned from the database table into the excel sheet.
Does anyone know if that's possible? I can't find a way to do it without manually adjusting the search term in the connection properties because I don't know how to pass along what I typed in the cell to be the search term.
Ok figured it out, microsoft has a great guide for it here:
https://support.microsoft.com/en-us/office/create-a-parameter-query-in-microsoft-query-c67d9af7-c8a0-4bf7-937c-087cb25f7ad3
I am creating table using google drive as a source and google sheet as a format.
I have selected "Drive" as a value for create table from. For file Format, I selected Google Sheet.
Also I selected the Auto Detect Schema and input parameters.
Its creating the table but the first row of the sheet is also loaded as a data instead of table fields.
Kindly tell me what I need to do to get the first row of the sheet as a table column name not as a data.
It would have been helpful if you could include a screenshot of the top few rows of the file you're trying to upload at least to see the data types you have in there. BigQuery, at least as of when this response was composed, cannot differentiate between column names and data rows if both have similar datatypes while schema auto detection is used. For instance, if your data looks like this:
headerA, headerB
row1a, row1b
row2a, row2b
row3a, row3b
BigQuery would not be able to detect the column names (at least automatically using the UI options alone) since all the headers and row data are Strings. The "Header rows to skip" option would not help with this.
Schema auto detection should be able to detect and differentiate column names from data rows when you have different data types for different columns though.
You have an option to skip header row in Advanced options. Simply put 1 as the number of rows to skip (your first row is where your header is). It will skip the first row and use it as the values for your header.
In my current Database I have a table whose data is manually entered or comes in an excel sheet every week. Before we had the "manual entry option", the table would be dropped and replaced by the excel version.
Now because there is data that only exists in the original table this can not be done.
I'm trying to find a way to update the original table with changes and additions from the (excel) table while preserving all rows not in the new sheet.
I've been attempting to simply use an insert query and an update query /but/ I can't find a way to detect changes in a record.
Any suggestions? I can provide the current sql if you'd find that helpful.
Based on what I have read so far, I think I can offer some suggestions:
It appears you have control of the MS Access. I would suggest adding a field to your data table called "source". Modify your form in the access database to store something like "m" for manual entry in the source field. When you import the excel, store an "e" for excel in the field.
You would need to do a one time scrub of the data to mark existing records as manual entries or excel entries. There are a couple of ways you can do it through automation/queries that I can explain in detail if you want.
Once past these steps, your excel process is fairly simple. You can delete all records with source = "e" and then do a full excel import. Manual records would remain unchanged.
This concept will allow you to add new sources and codes and allow you to handle each differently if needed. You just need to spend some time cleaning up your old data. I think you will find it worth it in the end.
Good Luck.
So I am working on a project where I import an excel file into Access, but when I do the importing( the tables in excel have the same tables headings as in Access) I tend to get a bunch of extra rows because in my excel file I have functions behind most of the cells, so that is why, even tho it appears to be empty, Access transfers the rows even tho nothing is actually entered into it.
So my question is, is there a way by using VBA in Access that I can automatically, once the excel file is imported, It could loop through all the rows in a specific table and delete an entire row based on specific criteria. Like if within a row there is an empty field, it will delete the whole entire row. This will save me a lot of time, instead of manually searching through the table for blank fields and deleting the row myself.
I do have knowledge working with VBA but im unsure of how to go about doing this, I was trying to use a DELETE SQL statement, but couldn't figure out how to do it properly since I need it to be In VBA.
Create a SQL query that pulls back the rows you want to delete.
Once the query is finished to your liking, go into SQL View for
the query, and remove everything before the FROM clause.
Instead, type a DELETE there. Save the query. So it should look like "DELETE FROM blah WHERE blah, blah, blah"
So now you have a query that will delete rows that you want it to. Now, to get it to run through VBA (note that you can run it manually just by double-clicking it in the Queries pane), just put the following line in where you want it to run.
docmd.OpenQuery "yourDeleteQueryName"
Note that yourDeleteQueryName should be replaced with your Delete query name.