use_case | small abstraction for encapsulating non | Reactive Programming library

i would recommend you to check out the Storage gateway S3 behind the gateway you can use the NFS, EFS or S3 bucket.

Read more at : https://aws.amazon.com/storagegateway/?whats-new-cards.sort-by=item.additionalFields.postDateTime&whats-new-cards.sort-order=desc

There are multiple ways you can do this. You can also use the CSI driver to connect the S3 also.

https://github.com/ctrox/csi-s3

rclone is nice option if you can use it, which will sync data to the POD host system in that if large files are there it might take time due to file size and network latecy.

Personal suggestion S3 is object storage so if you are looking forward to do file operations like writing the file or zip file it might take time to do operation based on my personal experience.

Remember that s3 is NOT a file system, but an object store - while mounting IS an incredibly useful capability - I wouldn't leverage anything more than file read or create - don't try to append a file, don't try to use file system trickery

If that the case I would recommend using the NFS or SSD to the container.

while if we look for s3fs-fuse it has own benefit of multipart upload and MD5 & local caching etc.

The easiest way you can write your own script which will sync to the local directory with the directory of S3 bucket over HTTP or else Storage gateway S3 is good option.

Amazon S3 File Gateway provides a seamless way to connect to the cloud in order to store application data files and backup images as durable objects in Amazon S3 cloud storage. Amazon S3 File Gateway offers SMB or NFS-based access to data in Amazon S3 with local caching.

Please try the following solution for MS SQL Server.

It is using XQuery and its FLWOR expression for the join.

The actual join is implemented for two sequences: $x and $y.

The CTE returns relevant elements.

SQL

When using the cookiecutter to set up the package it works just fine.

https://github.com/audreyfeldroy/cookiecutter-pypackage

This is more like a workaround than an solution to the SF question - but works nicely and as an additional benefit has some best practices with regards to documentation and testing already built in.

Obtaining the images and reviews from the perspective of your product use case is just like the database access. The only difference is that you don't query a database, you query another service instead. But from the perspective of your product microservice both are external systems that provide data to your use case.

When you take a look at the clean architecture you will realize that the controllers and gatways are on the same architectural layer - the interface adapters. This layer is named "interface adapters", because it adapts interfaces of the lower layer.

As you can see gateways can be a DB or an external interface (a service).

Thus you should structure your application in this way:

Here's a way to get the second table in your question:

In this case, before is actually before(:each), which is reusing the client_double and attributes you defined with the #let helper method. The let commands make those variables functionally equivalent to instance variables within the scope of the described object, so you aren't really testing freshly-created objects in each example.

Some alternatives include:

1. Refactor to place all your setup into before(:each) without the let statements.
2. Make your tests DAMP by doing more setup within each example.
3. Set up new scope for a new #describe, so your test doubles/values aren't being reused.
4. Use your :before, :after, or :around blocks to reset state between tests, if needed.

Since you don't show the actual class or real code under test, it's hard to offer specific insights into the right way to test the object you're trying to test. It's not even clear why you feel you need to test the collaborator object within a unit test, so you might want to give some thought to that as well.

Please understand that you must use correct documentation to match the Db2 product platform. For Db2 there are three main platforms (Linux/Unix/Windows(LUW) , Z/OS, and i-series (as/400). Additionally the Db2-on-cloud has slightly different features (and a different knowledge centre) than the regular on-premises Db2-LUW.

You quoted a page for Db2-for-i (as/400) that is a different product (with different SQL syntax) than Db2-on-cloud. So Db2-on-cloud does not have that function json_arrayagg (although Db2 for i series at current versions does have that function).

Please use the correct Knowledge Centre for Db2-on-cloud which is here

https://www.ibm.com/support/knowledgecenter/SSFMBX/com.ibm.swg.im.dashdb.kc.doc/welcome.html

With Db2 on cloud the syntax is to use functions JSON_ARRAY and related functions. You can use this query to see which JSON functions are available: select routinename from syscat.routines where routinename like 'JSON%' (assuming you have the correct access).

You'd want to put the optional chain's question mark after the ), just before the . for the syntax to be valid, but you also can't call Object.keys on something that isn't defined. Object.keys will return an array or throw, so the optional chain for the .map isn't needed.

Try something like

Try:

children = self.get_children().filter(use_case__slug=slug).specific()