Is there any way to put underscores into a migration description?
I want to be able to reference a table that has underscores in the name.
Let's say I have a table called car_model and I want the migration description to read "Add 2022 models to car_model". Or, "Add smog_rating column to car_model".
Right now Flyway is turning any underscore into a space.
I tried creating a file V7__test\_me.sql and the description is test\ me.
Related
I'm building an athlete profile database using ACF (Advanced Custom Fields). I have fields for First Name, Last Name, and Full Name. Athletes will be able to enter their first and last names on the front end of the website when they are creating a profile. I don't want them to enter their full name also because that's a bad user experience. But I need the full name on the backend. Is there a way to have the Full Name text field auto-generated by merging the values of First Name and Last Name? I don't want to enter the full name manually. Thanks!
with this kind of thing you are wanting to combine 2 fields into 1 record it may just be easier to ask for the full name in 1 field this is not a bad user experience as much as you may think more people actually find it more annoying needing to put different parts of there name in different boxes.
However if this is what you are wanting to move forward with I did find this which may be of some assistance Wordpress/ACF merging multiple fields value to one
I was using a view (VW_NEW_CUSTOMERS) in Teradata and all the column names had an underscore in it. The column names in tableau did not contain underscores.
For example:
Customer_Number (From Table View)
Customer Number (From Tableau Column Name)
Now I created a duplicate of the view (VW_NEW_CUSTOMERS_2), all the columns have the underscore in Tableau. So when I use replace data sources, the column name mapping is completely different from the above because of the underscores.
New Tableau fields from duplicated View:
Customer_Number (From Table View)
Customer_Number (From Tableau Column Name)
I would like to know why the underscores did not appear 1st time and it is now appearing when I duplicated the view. How can I rename the fields so that it comes like the 1st time? Should I do them manually now?
Note: Database columns were using aliases
Check this thread, this isn't new, Tableau decided to start renaming fields some time ago. Not sure why it would have done on one of your data sources, but not the other.
Anyway, the exec summary, you may need to reset the field names of the version without the underscore, which should bring the underscore back into your data, making both data sources the same. To do this, copied from the thread:
"Version 9.3 and 10.1, you can select all the measures (and dimensions) in a worksheet, right click and "reset names" in two operations"
I think there's also a way to hack the xml to add the spaces to your copy, should that be preferrable. The thread covers hacking the xml to remove spaces, therefore I assume to add spaces do the same but in reverse.
I created an app with the sxc module.
Now I have like 500 empty rows which I want to delete.
I searched for them in the database to delete them all but I cannot seem to find them and I think it is a waste of time to delete them all 1 by 1.
It's data in "Manage content / data" table.
Let me know please.
I have another question:
If I edit an item. The title of the module gets changed with the first items 'name' field. How to avoid that? Is it an bug?
Thanks in advance.
Basically JKings answer is correct - this kind of bulk-operation can easily be done using export/import, because on re-import you can tell 2sxc to delete all items not found in the import. This ensures that 2sxc can take care of data integrity etc. Instructions https://2sxc.org/en/Learn/Content-Export-and-Import
So the correct steps are:
export the list
open in notepad, xml editor (or use excel, as shown in the link)
Remove all those you don't want
Re-import, but choose the option to "Remove all entities not found in import"
You're set :)
I have a file text1 where fields are like:
box|domain|service|Consumer|organisation
Eg.for two such fields:
Datapower|utility|accountLog|verizon|google
Datapower|utility|accountLog|veri|google
Another lookup file text2 which is used for mapping is like:
Verizon|myself
What I am looking for is whenever fourth field verizon exists in text1 it should be replaced by second field myself using the mapping done in lookup file text2. But at the same time, I also need to keep in mind that if no matching is found for veri in text1 by doing lookup in text2, that row should be printed as such. Please suggest.
Thanks,
MT
The easiest way is to read first the whole files into two vectors with structure elements and then make the specified changes on it. Finally rewrite all into the same file.
The stepping file operations are hard in text files and in this case also the exchange of words would be difficult having they different lengths.
How to search every word separated by comma in textbox
Please refer above post
Its Working perfectly...But i have small issues.. when i enter in text box like c,c++,4-5 yrs it have to check in database like either c,c++ skills and 4-5 yrs experiecne and then the reult has to be shown... Burt as per ur query it just show results whether any one of keyword satisfy database ...I want to compare year also how? –
If you want that behavior, you have to program that behavior. One design is to have multiple input boxes: one where you check if any of the words exist, another where you check that all of the words exist. (Perhaps even another for an exact phrase match.) Another design possibility would be for you to develop a syntax to indicate optional and required words all within a single input box. The point is it is up to you.
After you've decided on a design, then you could write code that builds your query based on or matches on the optional words and and matches on the required. Something like this pseudocode
Select * From Table Where
(Field Like OptionalWord1 Or Field Like OptionalWord2 Or Field Like OptionalWord3)
And Field Like RequiredWord1
And Field Like RequiredWord2
(etc.)