setup-guide | Setup guide for Signal server & client | Encryption library

The problem is that the Loqate address.js library, which calls their API, is not returning the whole error object, just the message.

This may not be an approach that is endorsed by Loqate, but you can access the original error object through the reference to the pca.Address in the 'error' listener.

You should be able to do this (in the 'error' listener function):

I found the issue. Withing the app Gradle file. The following snippet

Replace "--__i" with "__i = __i -1" in file C:\some\path\msys64\mingw64\include\c++\9.2.0\bits\stl_iterator_base_funcs.h, line 183.

This worked for me! :)

You should be setting up the open-url event in the will-finish-launching callback as per the docs. I had similar weird behaviour with open-file until it was setup within the will-finish-launching callback.

You notice they've done it this way in the example you link to.

Although it mentions this under will-finish-launching, it should really mention this under the open-url and open-file docs too as its quite easy to miss.

The issue is that I have a CommandLineRunner which is supposed to create test data when the database is empty. This CommandLineRunner tries to read all entities from a certain table and if nothing is returned it populates all tables. The trouble is that something is wrong with the lazy loading of the related entity. I have to investigate this and if needed I'll open a new question.

Yes, this is intentional. Unfortunately we cannot distribute aws_key_management plugin — the fact that we did before was a mistake.

This plugin uses (and is linked with) AWS C++ SDK, which is available under the Apache 2.0 license. And this license it not compatible with GPLv2.

You can build this plugin yourself by using the cmake option -DNOT_FOR_DISTRIBUTION=1, the plugin wil be built and you'll get a warning that the result is not GPL and cannot be distributed.

If we'll find a replacement for AWS C++ SDK that uses a GPLv2 compatible license, we will be able to switch to it and distribute the plugin again.

Reference

Download the NVIDA GPU Cloud (NGC) container.

Create /home/bob/foobar.py in Visual Studio Code with the VS Code Docker Extension

Check if this is similar to gitlab-org/gitlab-ce issue 40616:

I've verified that it is possible to push to GitLab if the LFS objects are stored elsewhere, but LFS must be disabled for the project so that the LFS validation is disabled.

Disabled LFS for the project using the API (I'm using HTTPie)

http PUT https://gitlab.com/api/v4/projects/ name= lfs_enabled=false Private-Token:

Add the lfs.url to the lfs config (for example GitHub)

Are we talking about three Kubernetes pods running GlusterFS within the greater Kubernetes cluster, or three GlusterFS nodes within the GlusterFS cluster that exists within the Kubernetes cluster as a single pod?

Those requirements are related to the cluster quorum of GlusterFS. Those requirements implies different nodes for the High Availability GlusterFS. In the case you have a real Kubernetes cluster with different nodes you would deploy GlusterFS in each of the nodes so the data is safely replicated across all the nodes, and you would be safe in the case you loose one node.

Here you have the GlusterFS reference, hope its useful.

Can this requirement be met by my current setup? I was thinking of attaching 1 raw disk to the node VM with size, let's say 90GB. Then I would split that raw space to three /dev/sda2, /dev/sda3, /dev/sda4, each one 30GB, without formatting them. Now this Virtualbox VM node is also a Kubernetes node. I am assuming that Kubernetes will auto-mount those three raw spaces in the virtual world. Then, if we are talking about three Kubernetes pods, each one will have it's own virtual pod IP. As a result, I would be able to declare IP-/dev/sda# pairs in the topology file mentioned in the guide in the storage and device field respectively. In my case I will have only one device per storage IP. Does my logic make sense?

I think you won't be able to do this. If you look closer at the deployment manifests of GlusterFS: