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When you use:

That code won't run into threading issues, no.

Node.js isn't single-threaded, but unless you create additional JavaScript threads via the workers module, your code runs on a single thread, and even if you do create worker threads those threads run isolated from one another and from the main thread (they don't share a global environment; but they can communicate via messsaging and share memory in a very specific, bounded way via SharedArrayBuffer).

Side note: Using JSON to deep copy objects is not best practice. It's lossy (any non-enumerable property is dropped, any property whose value is undefined or a function is dropped, any property named with a Symbol is dropped, any inherited property is dropped, and prototypes are not maintained), it will fail for anything with circular references, and it makes an unnecessary round-trip through text. See this question's answers for various approaches to doing deep copy in JavaScript.

If you already have a database such as sqlite you could also use SQL.

You can use for example the RSQLite Package.

But if speed is your main goal, always create a benchmark, so here goes...

I am comparing base-R, dplyr, data.table, SQLite, and dbplyr (write dplyr code on your database).

If you want to have the performance of data.table but want to write dplyr code, checkout dtplyr.

In cloud shell, it will login your user account automatically, actually Connect-AzAccount does not work, but it will not give you an error, just a warning, so the script will work.

In the automation runbook, it does not support the interactive way to login your user account, if you use Connect-AzAccount directly, you will get the error, the other errors are follow-up issues based on this.

So to solve the issues, we always use the Run As Account of your automation account in this scenario, essentially it is an AD App along with a service principal in your AAD tenant. Make sure you have enabled it and give all the permissions to it the same as your user account to run the script, its name is like automationname_xxxxxxxxx, you can check it in the Run As Account blade in the automation account in the portal.

Then use the commands below to login.

One option could be:

After a lot of research and countless tests I found a working solution.

I use a seperate property for querying the business logik elements:

You can use Array#reduce with an object to store the values for each car.

Assuming you each time get elements like in your example (as a string!), you can get store data as, for example, a dict as follows:

The issue with the error was there are headers for each column of the dataframe. However when I reading with schema and without including header=True, the header column name became one of the column values. The lookup failed as there is no name with that column.