annotations | A tool for annotating texts using Draft.js | Data Manipulation library

You can use MKMapView.removeOverlays call to do this.

In Kotlin you have to instantiate properties with backing field in the construction (getting them from constructor, assigning them some value, or fill them in init blocks). And the only exception is lateinit var. In the first code, you're getting them in constructor. But in second one, they're introduced without being initialize so compiler asks you to either fill them, or convert them to non-backing field by providing getter and setters.

But if you want to make the first code Serializable you have to simply make that implement Serializable like this:

Multiple things could cause this behaviour, because the pipeline runs fine with less Data, analysing what has changed could lead us to a resolution.

The third line of the logs you provide might indicate that you're processing unclean data in your bigger pipeline mmap(NULL, could mean that | "Get Content" >> beam.Map(lambda x: x.read_utf8()) is trying to read a null value.

Is there an empty file somewhere ? Are your files utf8 encoded ?

I'm guessing using the fileio.ReadMatches() will try to load into memory the whole file, if your file is bigger than your memory, this could lead to errors. Can you split your data into smaller files ?

If files are too big for your current machine with a DirectRunner you could try to use an on-demand infrastructure using another runner on the Cloud such as DataflowRunner

You have to provide both annotations as object in 1 array, not an array containing objects containing arrays, see example:

Based on the storage class spec, I think the problem is the volumeBindingMode being set as WaitForFirstConsumer which means the PV will remain unbound until there is a Pod to consume it.

You can change it Immediate to allow the PV to be bound immediately without requiring to create a Pod.

You can read about the different volume binding modes in detail in the docs.

You can get around the problems of subclassing dict by subclassing collections.UserDict instead. As the docs say:

Class that simulates a dictionary. The instance’s contents are kept in a regular dictionary, which is accessible via the data attribute of UserDict instances. If initialdata is provided, data is initialized with its contents; note that a reference to initialdata will not be kept, allowing it be used for other purposes.

Essentially, it's a thin regular-class wrapper around a dict. You should be able to use it with multiple inheritance as an abstract base class, as you do with AbstractRememberingDict.

If you want to inject the vault secret into the deployment pod what you can do

There is one great project on Github Vault-CRD in java: https://github.com/DaspawnW/vault-crd

Vault CRD for sharing Vault Secrets with Kubernetes. It injects & sync values from Vault to Kubernetes secret. You can use these secrets as environment variables inside pod.

the flow goes something like : vault to Kubernetes secret > and that secrets get injected into deployment using YAML same as configmap

apart from this there is also another nice method of sidecar pattern.

for that, there is a very nice tutorial: https://github.com/hashicorp/hands-on-with-vault-on-kubernetes

another one : https://www.hashicorp.com/blog/injecting-vault-secrets-into-kubernetes-pods-via-a-sidecar

Routing within the app should be handled by the app. So, there should be no need to define dynamic paths. Try this.

What you want can be built with Java stream operations: