kandi X-RAY | gcs Summary
kandi X-RAY | gcs Summary
GURPS Character Sheet
Top functions reviewed by kandi - BETA
- Emit a key .
- Adjusts column widths based on the layout of the grid .
- Main entry point .
- Handle the drop target row .
- Initialize the static map .
- Get the resolved value for the input .
- Handles a request .
- Load DRBonus information from the data file .
- Packs an outline .
- Create standard attributes .
gcs Key Features
gcs Examples and Code Snippets
Trending Discussions on gcs
I have a Python Apache Beam streaming pipeline running in Dataflow. It's reading from PubSub and writing to GCS. Sometimes I get errors like "Error in _start_upload while inserting file ...", which comes from:...
ANSWERAnswered 2021-Jun-14 at 18:49
In a streaming pipeline, Dataflow retries work items running into errors indefinitely.
The code itself does not need to have retry logic.
I have a react application (Node back end) running on Heroku (free option) connecting to a MongoDB running on Atlas (also free option). When I connect the application from my local machine to the Atlas DB all is fine and data retrieved (all 108 K records) in about 10 seconds, smaller amounts (4-500 records) of data in much less time. The same request from the application running on Heroku to the Atlas DB fails. The application running on Heroku can retrieve a small number of records (1-10) from the same collection of (108 K records), in less than a second. As soon as I try to retrieve a couple of hundred records the system fails. Below are the logs. I included the section of the logs that show a successful retrieval of 1 record and then failing on the request for about 450 records.
I have three questions:
- What is the cause of the issue?
- Is there a work around in the free option of Heroku?
- If there is no work around in the free option, what Heroku pay level will I need to get to and what steps will I need to take to get this working? I will probably upgrade in the future but want to prove all is working before going in that direction.
ANSWERAnswered 2021-Jun-14 at 18:09
You're running out of heap memory in your node server. It might be because there's some statement that uses a lot of memory. You can try to find that or you can try to increase node memory like this.
My program grabs ~70 pages of 1000 items from an API and bulk-inserts it into a SQLite database using Sequelize. After looping through a few times, the memory usage of node goes up to around 1.2GB and and then eventually crashes the program with this error:
delete for all of the big variables that I use for the response of the API call and stuff with
variable = undefined and then
global.gc(), however I still get huge amounts of memory usage and eventually it crashes. Would increasing the memory cap of Node.js help? Or would the memory usage of it just keep increasing until it hits the next cap?
Here's the full output of the error:...
ANSWERAnswered 2021-Jun-10 at 10:01
From the data you've provided, it's impossible to tell why you're running out of memory.
Maybe the working set (i.e. the amount of stuff that you need to keep around at the same time) just happens to be larger than your current heap limit; in that case increasing the limit would help. It's easy to find out by trying it, e.g. with
Maybe there's a memory leak somewhere, either in your own code, or in one of your third-party modules. In other words, maybe you're accidentally keeping objects reachable that you don't really need any more.
If you provide a repro case, then people can investigate and tell you more.
- according to your output, heap memory consumption is growing to ~4 GB; not sure why you think it tops out at 1.2 GB.
- it is never necessary to invoke
global.gc()manually; the garbage collector will kick in automatically when memory pressure is high. That said, if something is keeping old objects reachable, then the garbage collector can't do anything.
The executor for the project gitlab-runner is docker. I try to run docker-in-docker and I get the following Error from pipeline:
ERROR: Job failed (system failure): Error response from daemon: OCI runtime create failed: container_linux.go:380: starting container process caused: process_linux.go:545: container init caused: process_linux.go:508: setting cgroup config for procHooks process caused: resulting devices cgroup doesn't match target mode: unknown (docker.go:385:0s)
I followed this guide: https://www.digitalocean.com/community/tutorials/how-to-set-up-a-continuous-deployment-pipeline-with-gitlab-ci-cd-on-ubuntu-18-04 and after I read the docs of gitlab CI/CD and gitlab-runner, but I can't find out how to solve this problem.
This is currently my config.toml file:...
ANSWERAnswered 2021-Jun-10 at 21:28
I solved it with a downgrade of docker:
sudo apt-get install --reinstall docker-ce=5:18.09.9~3-0~ubuntu-bionic docker-ce-cli=5:18.09.9~3-0~ubuntu-bionic docker-ce-rootless-extras containerd.io=1.3.9-1
The problem was that I run on a V-Server (Virtuozzo) with Ubuntu 18. It seems that Virtuozzo does not support currently the newest Docker Engine.
I'm new to beam so the whole triggering stuff really confuse me.
I have files that are uploaded regularly to gcs to a path that looks something like this:
and I need to write something that would trigger when all 8 parts of a file exist.
Their names are something like that:
file_1_part_1, file_1_part_2, file_2_part_1, file_2_part_2
(there could be multiple files parts in the same dir but if its a problem I could ask for it to change).
Is there any way to create this trigger? and if not what do you suggest I could do instead?
ANSWERAnswered 2021-Jun-09 at 17:35
If you are using the Java SDK, you can use a transform Watch to achieve this. I don't see a counterpart in the Python SDK though.
Then in your Beam pipeline, use the Pub/Sub topic as the streaming source to do your ETL.
I am trying to write a parquest schema for my json message that needs to be written back to a GCS bucket using apache_beam
My json is like below:...
ANSWERAnswered 2021-Jun-08 at 07:37
This is the schema you need:
I am having problem with the memory when I try to start my react app with npm start. The error says...
ANSWERAnswered 2021-Jun-07 at 09:14
I've solved issue by changing
node version which I was using
14.17.0 and I switched to
14.10.1. I have used
nvm-windows to switch node versions
I have a nodejs script which was working fine on nodejs 12. I got a new macbook air on which I installed nodejs LTS 14. The scripts was not working as intended so I have downgraded it to nodejs 12 LTS. Now I'm getting an error for process out of memory. I have also tried using --max-oud-size to increase the memory allocation.
It didn't work. Following is the stack trace for the error...
ANSWERAnswered 2021-Jan-24 at 18:03
This issue has been fixed in Node 15.3.0.
I updated mine and it worked fine for me.
This is extended question to Can we send data from Google cloud storage to SFTP server using GCP Cloud function?...
ANSWERAnswered 2021-Jun-01 at 09:31
Answer based on what @Martin-Prikryl suggested
I want to use Google Colab free TPU with a custom dataset, that's why I need to upload it to GCS. I created bucket in GCS and uploaded dataset.
Also I read that there are two classes of operations with data in GCS: operation class A and operation class B [reference].
My questions are: does accessing dataset from GCS in Google Colab fall in one of these operation classes? What is average price you pay for using GCS for Colab TPU?...
ANSWERAnswered 2021-Jun-01 at 15:38
Yes, accessing to the Objects (files) in your GCS bucket will result in possible charges to your Billing Account but there are some other factors that you might need to consider. Let me explain (sorry in advance for the very long answer):
Google Cloud Platform services use APIs behind the scene to perform multiple actions such as show, create, delete or edit certain resources.
Cloud Storage is not the Exception. As mentioned in the Cloud Storage docs operations can be cataloged in two: the ones performed by the JSON API and the ones done by the XML API.
All operations performed on the Cloud Console or Client libraries (the ones used to interact via code with languages like Python, Java, PHP, etc.), the Operations will be charged using the JSON API by default. Let's focus on this one.
I want you to pay attention at the name of the methods under each Operations column:
The structure can be read as follows:
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