retries | tiny Rubygem for retrying code
kandi X-RAY | retries Summary
kandi X-RAY | retries Summary
Retries is a gem that provides a single function, with_retries, to evaluate a block with randomized, truncated, exponential backoff. There are similar projects out there (see retry_block and retry_this, for example) but these will require you to implement the backoff scheme yourself. If you don't need randomized exponential backoff, you should check out those gems.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of retries
retries Key Features
retries Examples and Code Snippets
private long safeCall(int value) {
var retries = 0;
var result = FAILURE.getRemoteServiceStatusValue();
for (int i = 0; i < RETRIES; i++) {
if (retries >= RETRIES) {
return FAILURE.getRemoteServiceStatusValue();
Community Discussions
Trending Discussions on retries
QUESTION
I am having this weird issue with elastic beanstalk. I am using docker compose to run multiple docker containers on same elastic beanstalk instance.
if I run 4 docker containers everything works fine. but if i make it 5, deploy fails with error Instance deployment failed to download the Docker image. The deployment failed
.
and if I check eb-engine.log. it retries to docker pull
command and fails with error.
this is really weird error. bcs all docker images are valid and correctly tagged. it just the number of services that I am adding in docker compose file. if number is greater than 4, deploy fails
my question is, is there any limit of docker services that can be run using docker compose ? or is there any timeout in elastic beanstalk to pull images?
...ANSWER
Answered 2021-Jun-16 at 03:01Based on the comments.
The issue was that t2.micro
instance was used. The instance has only 1 vCPu and 1GB of ram. This was not enough to run 5 docker containers. Changing instance type to t2.large
with 8GB ram and 2 vCPUs solved the problem.
docker-compose allows to specify cpu and memory limits. Maybe you can set them up to keep your containers resource requirements in check.
QUESTION
When I run the following code in python 3.8.5 from an Ubuntu Server:
...ANSWER
Answered 2021-Apr-07 at 10:06I answer by myself referencing this GitHub issue: https://github.com/psf/requests/issues/4775
I solved the problem using the code below:
QUESTION
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:
...ANSWER
Answered 2021-Jun-14 at 18:49In a streaming pipeline, Dataflow retries work items running into errors indefinitely.
The code itself does not need to have retry logic.
QUESTION
I am referring this answer:
Can we add manual immediate acknowledgement like below:
...ANSWER
Answered 2021-Jun-14 at 17:04Yes, you can use manual immediate here - you can also use AckMode.RECORD
and the container will automatically commit each offset after the record has been processed.
https://docs.spring.io/spring-kafka/docs/current/reference/html/#committing-offsets
QUESTION
I am using the following docker-compose image, I got this image from: https://github.com/apache/airflow/blob/main/docs/apache-airflow/start/docker-compose.yaml
...ANSWER
Answered 2021-Jun-14 at 16:35Support for _PIP_ADDITIONAL_REQUIREMENTS
environment variable has not been released yet. It is only supported by the developer/unreleased version of the docker image. It is planned that this feature will be available in Airflow 2.1.1. For more information, see: Adding extra requirements for build and runtime of the PROD image.
For the older version, you should build a new image and set this image in the docker-compose.yaml
. To do this, you need to follow a few steps.
- Create a new
Dockerfile
with the following content:
QUESTION
I'm running a hour long computation that fetches an external API, process it and save to a dataframe. The API is using Python's request library.
By tweaking the request lib, I managed to fend off problems related to retries and reading errors, but not all possible problems are handled, of course.
Everytime the API fails, my computation just stops, and I lose one hour worth of work.
I'm calling dask like this:
...ANSWER
Answered 2021-Jun-13 at 13:13By running .compute
on the dask dataframe you are converting it into a pandas dataframe in memory. If you want a future object, then you can run:
QUESTION
I am trying to learn to automate End2end testing a React-native mobile App using wdio and appium.
The target component I am trying to click in this problem is this: Component screen shot
I got an error of TypeError: $(...).waitForDisplayed is not a function" in my current test project. While I got "elements not found" when I'll do assync mode.
I can verify that the IDs are visible in Appium Element Inspector ScreenShot here
Below are my codes (#1 & #2) Either way, I got an error. I really need to understand why I got this errors. #1
...ANSWER
Answered 2021-Jun-12 at 11:19describe('Test Unit - Assync Mode', () => {
it('Client must be able to login in the app. ', async () => {
// pay attention to `async` keyword
await (await $('~pressSkip')).waitForDisplayed({ timeout: 20000 })
const el = await $('~pressSkip') // note `await` keyword
await el.click()
await browser.pause(500)
})
})
QUESTION
I just began learning Airflow, but it is quite difficult to grasp the concept of Xcom. Therefore I wrote a dag like this:
...ANSWER
Answered 2021-Jun-11 at 06:01The command parameter
of SSHOperator
is templated thus you can get the xcom directly:
QUESTION
I have been facing the exception below on the Kafka consumer side. Surprisingly, this issue is not consistent and an older version of the code (with the exact same configuration but some new unrelated features) works as expected. Could anyone help in determining what could be causing this?
...ANSWER
Answered 2021-Jun-11 at 19:58You don't need all the standard @KafkaListener
method invoking infrastructure when your listener already implements one of the message listener interfaces; instead of registering endpoints for each listener, just create a container for each from the factory and add the listener to the container properties.
QUESTION
I created a docker container using the standard "image: postgres:13", but inside the container it doesn't start postgresql because there is no cluster. What could be the problem? Thx for answers!
My docker-compose:
...ANSWER
Answered 2021-Jun-10 at 11:50You should not connect through localhost but by the container name as host name.
So change your .env to contain
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