batcher | Go package for grouping items in batches | Batch Processing library

One reason for this error could be that you are directly sending protobufs and serialized some bytes that are simply not a valid entity.

The reason you won't be able to get Wiki.JS working behind a corporate firewall is that this functionality is not implemented.

Based on this GitHub issue you can vote for this feature here.

There is a workaround mentioned in the issue (1.), but you can also sideload the missing files (2.).

I figured out a work around for this: use https://github.com/rofl0r/proxychains-ng with LD_PRELOAD. In my case, I am using docker-compose.

You have to:

• incorporate the compiled proxychains4.so in to /lib/ and set the environment variable
• create your own proxychains.conf

Here is an example:

You probably have old index templates that are interfering when you create new indexes.

Try to GET _template and see if there are any incompatible mapping parameters that you can change to make it work.

Eventually, delete old unused templates.

The value to be assigned to the texture sampler uniform is not the object number of the texture. It must be the texture unit that the texture is bound to. Since your texture is bound to texture unit 0 (GL_TEXTURE0), you need to assign 0 to the texture sampler uniform (0 is default):

glUniform1i(u_texture, TextureLoader.textures.get(it.textureName)!!)

You could create a linked CancellationTokenSource, so that you can watch simultaneously for both an external cancellation request, and an internally induced timeout. Below is an example of using this technique, by creating a ReadBatchAsync extension method for the ChannelReader class:

The reason the warning pops up is discussed here. It's basically a logic flow mistake inside Recoil and will be fixed in the next release. Currently there is nothing you can do about it, but it only pops up in dev mode, while in production mode the warning is ignored.

If you are running the dataflow job not as a template but as a jar in a VM or pod, then you can do this before and after the pipeline starts by executing bash commands from java. Refer this - https://stackoverflow.com/a/26830876/6849682

Command to execute -

Most of the solutions I came across mentioned the default service account. I also came across solutions that said to run gcloud auth application-default login. None of these solutions worked in my case. My default service account was already setup. It even had Editor role assigned to it. This doc says

After you create an App Engine application, the App Engine default service account is created and used as the identity of the App Engine service. The App Engine default service account is associated with your Cloud project and executes tasks on behalf of your apps running in App Engine. By default, the App Engine default service account has the Editor role in the project. This means that any user account with sufficient permissions to deploy changes to the Cloud project can also run code with read/write access to all resources within that project.

and this doc says

This service account is created by Google when you create an App Engine app and is given full permissions to manage and use all Cloud services in a GCP project.

so what gives? Turns out I had to enter credit card details and enable billing.

Once I did that app started working back again!

There is an important difference between running xdmp:document-delete and using Java API to delete a document. The Java API is a wrapper for the MarkLogic REST-API, which follows the rules for a RESTful API. One important rule of a RESTful API is that calls are expected to be idempotent. In short that means that you should be able to run the call twice and get same reply both times. That is why calls to insert, update, and delete don't throw errors if the document does or does not exist.

See also for instance: https://restfulapi.net/http-methods/#delete

I'd recommend using Data Services, or custom REST extensions if you want your app to be more strict.

HTH!