nap | A Go sql.DB wrapper for master-slave topologies | SQL Database library

I want to do a simple task: mutate the value of one column if that column exists. I want to do this for multiple columns and data frames within a loop.

I made a reproducible example. In the example, we have two data frames Belg and Fran.

Fran has two columns t1 and t2 while Belg has three t1, t2, t3. I want to replace the values in these two or three columns based on a simple manipulation described in the code below. The tricky part is that because the number of columns is not the same on both data frames the code below generates a third column t3 to df Fran -- which is not what I want.

I'm running a 2 GKE private cluster set up in europe-west2. I have a dedicated config cluster for MCI and a worker cluster for workloads. Both clusters are registered to Anthos hub and ingress feat enabled on config cluster. In addition worker cluster runs latest ASM 1.12.2.

As far as MCI is concerned my deployment is 'standard' as in based on available docs (ie https://cloud.google.com/architecture/distributed-services-on-gke-private-using-anthos-service-mesh#configure-multi-cluster-ingress, terraform-example-foundation repo etc).

Everything works but I'm hitting an intermittent connectivity issue no matter how many times I redeploy entire stack. My eyes are bleeding from staring at logging dashboard. I ran out of dots to connect.

I'm probing some endpoints presented from my cluster which most of the time returns 200 with following logged under resource.type="http_load_balancer":

On Android, i' m trying to pause my update_time method when on_pause is called, and resume it when on_resume is called. In other words i' m trying to pause the timer when the app is minimized and resume it when the app is resumed. I understand that the Clock keeps running on background, but i cant figure out why the code doesnt work. It looks like the check "if self.sw_started==True" is ignored or "self.sw_started" never becomes False. ex: I open the app, it starts counting.Then i minimise it and wait for a few seconds. When i resume it, it is not continuing from where it was, which is the behavior i'm looking for.

Thank you very very much for your time, and sorry for my bad english!

I've got a MacOS/X app which in general is not averse to app-napping, but sometimes it will spawn one or more child threads to do timing-sensitive networking tasks, which do need to avoid being app-napped.

The elegant thing to do would be to have each of these threads call [[NSProcess processInfo] beginActivityWithOptions [...]] when it starts, and also call [[NSProcess processInfo] endActivity [...]] just before it exits, which would (hopefully) have the effect of avoiding app-nap on my process (or at least on those particular threads) only when one or more of these network-threads is running.

My question is, is this a legal/acceptable calling pattern, or is NSProcessInfo more of a per-process-only kind of API that doesn't implement the thread-safe reference-counting logic that would be necessary to reliably yield the expected behavior if I call it from multiple threads? (if it's the latter, I can implement that logic myself, but I'd rather not reinvent the wheel here)

I have a long list of 190 variables, (they are destination routes). And I want to match, if any of these variables, exist in the array arr. (It is necessary for my job to have this many variables).

For some reason, the code below does not work. I'm not sure if it's because I have so many variables to check, perhaps the code is not efficient enough?

The route I'm specifically looking for in the array is "ORY-PSA", which is route72.

The only time my code works/returns true, is if I remove all the || checks, specifically type in the following code:

As I'm new learner on kivy language with python. Here is my code:

Very new to pyspark/pandas need help.

I have a table Table 1 that looks something like this

I have a GKE cluster which doesn't scale up when a particular deployment needs more resources. I've checked the cluster autoscaler logs and it has entries with this error: no.scale.up.nap.pod.zonal.resources.exceeded. The documentation for this error says:

Node auto-provisioning did not provision any node group for the Pod in this zone because doing so would violate resource limits.

I don't quite understand which resource limits are mentiond in the documentation and why it prevents node-pool from scaling up?

If I scale cluster up manually - deployment pods are scaled up and everything works as expected, so, seems it's not a problem with project quotas.

I have this local JSON File, which contains title, start and end. I want to create dates from the start and end keys, but a String for the title, so I can create Event objects. Right now I have decoded everything into Strings. So I'm trying to create a custom init, but an error keeps showing up "Return from initializer without initializing all stored properties". Not sure what am I doing wrong

Here's my Event model and my JSONFile