goliath | Goliath is a non-blocking Ruby web server framework | Reactive Programming library
kandi X-RAY | goliath Summary
kandi X-RAY | goliath Summary
Goliath is an open source version of the non-blocking (asynchronous) Ruby web server framework. It is a lightweight framework designed to meet the following goals: bare metal performance, Rack API and middleware support, simple configuration, fully asynchronous processing, and readable and maintainable code (read: no callbacks). The framework is powered by an EventMachine reactor, a high-performance HTTP parser and Ruby 1.9+ runtime. The one major advantage Goliath has over other asynchronous frameworks is the fact that by leveraging Ruby fibers introduced in Ruby 1.9+, it can untangle the complicated callback-based code into a format we are all familiar and comfortable with: linear execution, which leads to more maintainable and readable code. Each HTTP request within Goliath is executed within its own Ruby fiber and all asynchronous I/O operations can transparently suspend and later resume the processing without requiring the developer to write any additional code. Both request processing and response processing can be done in fully asynchronous fashion: streaming uploads, firehose API's, request/response, websockets, and so on.
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Top functions reviewed by kandi - BETA
- Parses the command line options .
- Dispatches all requests .
- Starts the server .
- Starts the server .
- Parse the given headers
- Initialize the client
- Run a Rack application .
- Create a new error message .
- Receives the data received from the server .
- Load all plugins and load them
goliath Key Features
goliath Examples and Code Snippets
Community Discussions
Trending Discussions on goliath
QUESTION
Goal
I'm trying to create a main DataFrame. From this main DataFrame, utilize the "name" column to provide each value in "name" with a DataFrame that is a copy of the main DataFrame. As the "name" column grows, the number of DataFrames will grow. This is done by utilizing a dictionary of DataFrames, so that I can reference each persons DataFrame easily.
Afterwards, I apply filters to each person's respective DataFrame.
Issues I am facing
- The code gives a "name" error, in reference to the column called "name". This issue occurs in the last row of code.
Code
...ANSWER
Answered 2022-Mar-20 at 17:40can you please check if this is what you want?
QUESTION
I'm pretty new to coding, and I'm following this French tutorial that is basically making a RPG game used through console.
So I got a Character class in a .cpp
file and .h
, another .h
.cpp
couple of files for the weapons, and my main.
I got a function on my CPP file that's like this :
...ANSWER
Answered 2021-Jun-07 at 15:06Assuming the Character class has field like name
you can access the field in your method by using this->name
(it will acces name of the object which called the method, in this case it is David) and the target.name
will be "Goliath".
QUESTION
Here is my data.
...ANSWER
Answered 2020-Aug-28 at 16:58Are you trying to do something like this? Can't get what you trying to achieve... Check code below, read comments, test it by pressing "Run code snippet"
QUESTION
I am creating an upload file function for my website. When a user clicks upload then my web page will call API that has a function to upload the file into minIO node on my Kubernetes and store metadata of that file into cockroachDB node on my Kubernetes
Problem is when I test this on my local environment it works fine:
- (web URL:
http://localhost:5000
, API URL:http://localhost:8080/upload
)
but when I create pod and run it on Kubernetes it causes the error [503 service unavailable]
- (web URL:
https://[myWebName].com
, API URL:https://[myWebName].com/upload
)
After I try to debug this problem I know that cause of the problem is the code that I use to INSERT data into cockroachDB but I don't know how to fix this problem and I don't know why it works on my local environment but when it uploads it to Kubernetes this function causes the error.
function that cause problem:
...ANSWER
Answered 2020-Jul-16 at 00:17This is a Dockerfile issue for the most part as I can be able to evaluate. Usually happens when you use shrink docker images from providers such as alpine. etc.. This is due that on localhost you don't need to evaluate certificates but on production, server will evaluate the certificate against your server. and it wont be available. for this case we need to re create it as on the following sample code.
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