save-data | WebExtension for sending the Save-Data : on HTTP request | Browser Plugin library

If all you did was point data_directory somewhere else, that cannot work, because there is no data directory at the destination. You have to create the data directory using initdb.

I don't think it is actually possible to do a partial update with a batch insert request. It's hard to know for sure because I don't think any of this is documented except in WWDC sessions. When I first watched the 2019 session, I was excited because the presenter said:

Attributes that are optional or configured with default values can be omitted from the dictionary as well. In the case of updating an object with unique constraint, the existing values will not be changed.

I took this to mean that:

• You can omit values for new objects, and you'll get the defaults or NULL. That makes sense.
• If there's an existing object and you omit a value, that value will not the changed. So you can purposely omit values to do a partial update, i.e. update other values while leaving your isFavorite alone.

But, after writing code to test this and looking at the output from com.apple.CoreData.SQLDebug, what actually seems to happen with NSMergeByPropertyObjectTrumpMergePolicy is:

• If you omit a value that's required you get a validation error.
• If you omit a value that's optional, it updates the row to NULL. For a Bool property in Swift, this will become false.
• If you omit a value with a default value, it updates the row to the default.

This is a shame because it seems like partial updates could be implemented by having the ON CONFLICT clause only specify DO UPDATE SET for the attributes that you actually set. But (as of macOS 11) Core Data seems to always generate SQL to set all of the columns.

In summary, with batch inserts, NSMergeByPropertyObjectTrumpMergePolicy does not actually merge by property based on what's changed (like with a regular Core Data save). Rather, it either inserts a new row (if the object is absent) or overwrites all the columns but preserves the objectID (if the object was present).

NSMergeByPropertyStoreTrumpMergePolicy also doesn't merge by property. It just means to leave the stored object alone if it's already present.

Short answer, no. R is dynamically typed and has a number of different typing systems (S3, S4, R6, etc.). In short, we see the effect of the dynamic typing in calls to e.g. print or plot. You might have noticed that print behaves differently for matrices, simple vectors, lists, data.frames etc. plot is even more diverse and can handle the former mentioned types, as well as almost any custom object thrown to it from other packages (correlation matrices, heatmaps, etc.) - and produces widely different results.

This is due to R's method dispatching (and similar ideas for the different typing system), which basically looks at the class of the object passed as the first argument(s) to the function. It then tries to call plot. for each class in the class-attribute of the object, until something works. If nothing works, it falls back to plot.default.

This is why many packages can use the plot-function. They implement a plot-function, say plot.foobaz that works for their foobaz-classed objects.

Then there are methods that, based on the input, concatenate function names and then tries to call them.

On top of that, we can throw different packages into the environment (with e.g. library) which might alter the path of execution, when a package's methods mask a previously loaded package.

So to proactively figure out the call tree of method, it would be restricted to be based on the actual objects passed. There is a package that does this, https://rdrr.io/cran/lobstr/man/cst.html.

(navigator.connection.effectiveType || "") will resolve to an empty string if effectiveType is null, undefined or some other falsy non-string value.

If you didn't do that you'd attempt to call null.includes() which would throw an exception.

If you want to get one file named df.csv as output, you can first write into a temporary folder, then move the part file generated by Spark and rename it.

These steps can be done using Hadoop FileSystem API available via JVM gateway :

Your reported problem is actual a problem in Python 3.5.0!!

You can check your Python 3.5 version by entering a command like python3.5 --version or just enter python3.5 and have a look at the top of the repl output.

You can resolve the problem by installing the any higher point release of Python 3.5, e.g 3.5.1 or the even the latest one, 3.5.10.

This all said - Python 3.5 is already end of life ( https://www.python.org/downloads/ ). If there is no important reason, please consider to drop support for it.

Personnaly, I like to write directly into a file. It's applicable to all platforms, isn't removed on an app update, and you have full control over the way you access the data. It's easy to add, remove, edit the contents, and easy to handle multiple save states.

You can do it with a simple class, such as this one :

Run blocking database calls on the event loop using a ThreadPoolExecutor. See https://medium.com/@hiranya911/firebase-python-admin-sdk-with-asyncio-d65f39463916

method using built-in docker cp

Use docker cp [containername]:[path] [host-path] to e.g. copy data out - reverse the params to copy data in - it works just like scp. To get shell access to the data you can just attach to the running container.

pro: nothing additional needed in docker compose

con: no integration (that I know of) with a file explorer GUI like WinSCP. need to do a terminal based copy each time a file is to be updated between host and container.

method using a dockerized ssh server

pro: can integrate with any tool that can talk over ssh/sftp

con: needs additional setup

The following approach starts an ssh server within a service, setup with docker-compse such that it automatically starts up and uses public key encryption between host and container for authorization. This way, data can be uploaded/downloaded via scp or sftp.

The full docker-compose.yml for a node.js (keystone) + mongodb app is below, together with some documentation on how to use ssh service: