fwd | fwd package provides a buffered reader | iOS library
kandi X-RAY | fwd Summary
kandi X-RAY | fwd Summary
The fwd package provides a buffered reader and writer. Each has methods that help improve the encoding/decoding performance of some binary protocols. The fwd.Writer and fwd.Reader type provide similar functionality to their counterparts in bufio, plus a few extra utility methods that simplify read-ahead and write-ahead. I wrote this package to improve serialization performance for where it provided about a 2x speedup over bufio for certain workloads. However, care must be taken to understand the semantics of the extra methods provided by this package, as they allow the user to access and manipulate the buffer memory directly. The extra methods for fwd.Reader are Peek, Skip and Next. (*fwd.Reader).Peek, unlike (*bufio.Reader).Peek, will re-allocate the read buffer in order to accommodate arbitrarily large read-ahead. (*fwd.Reader).Skip skips the next n bytes in the stream, and uses the io.Seeker interface if the underlying stream implements it. (*fwd.Reader).Next returns a slice pointing to the next n bytes in the read buffer (like Peek), but also increments the read position. This allows users to process streams in arbitrary block sizes without having to manage appropriately-sized slices. Additionally, obviating the need to copy the data from the buffer to another location in memory can improve performance dramatically in CPU-bound applications. fwd.Writer only has one extra method, which is (*fwd.Writer).Next, which returns a slice pointing to the next n bytes of the writer, and increments the write position by the length of the returned slice. This allows users to write directly to the end of the buffer.
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Top functions reviewed by kandi - BETA
- Skip implements the io . Reader interface .
- NewReaderBuf returns a new Reader for the given io . Reader .
- NewWriterBuf returns a Writer that writes to w .
- NewWriter returns a Writer that implements io . Writer .
- unsafestr converts s to a byte slice .
- NewWriterSize returns a new Writer writing to w .
- max returns the maximum of two integers
- NewReaderSize returns a new io . Reader that reads from r .
- NewReader returns a new Reader reading from r .
fwd Key Features
fwd Examples and Code Snippets
Lines of Code : 9License : Permissive (MIT)
Copyconst (
// DefaultReaderSize is the default size of the read buffer
DefaultReaderSize = 2048
)
const (
// DefaultWriterSize is the
// default write buffer size.
DefaultWriterSize = 2048
)
type Writer struct {
// contains filtered or unexported fields
}
type Reader struct {
// contains filtered or unexported fields
}
Community Discussions
Trending Discussions on fwd
QUESTION
How to publish two messages of the same type to different worker instances based on the message content without using Send and RequestAddress?
My scenario is:
I am using Azure ServiceBus and Azure StorageTables.
I am running two different instances of the same worker service workera and workerb. I need workera and workerb to both consume messages of type Command based on the value of Command.WorkerPrefix.
the Command type looks like:
...ANSWER
Answered 2021-Jun-15 at 23:37Using MassTransit with Azure Service Bus, I would suggest taking the message routing burden away from the publisher, and moving it to the consumer. By configuring the receive endpoint and using a subscription filter each instance would add its own subscription and use a message header to filter published messages.
On the publisher, a message header would be added:
QUESTION
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.
Logs:
...ANSWER
Answered 2021-Jun-14 at 18:09You'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.
QUESTION
Build is successdul and it is producing application error, i have set up host name and debug=False as suggested but it is still causing error in opening the browser window, i am new to heroku so please suggest what needs to be done to make it work
my settings.py
...ANSWER
Answered 2021-Jun-12 at 12:06If you are using django-heroku package than you have to add this in your settings.py
Add the following import statement to the top of settings.py:
QUESTION
I am trying to deploy my first ever application, which has django for the backend and react for the frontend (with create-react-app). I followed the steps in some tutorials and managed to get my deploy build running but I am getting an error for npm start. I can't seem to find any solution, any help will be more than welcomed.
...ANSWER
Answered 2021-Jun-12 at 05:53That error indicates heroku cannot start the server.
I think you did not install gunicorn package.
- pip install gunicorn
and in settings.py
QUESTION
I am making a react project in which I'm using table and I need to add a search functionality to it. Right now the table is populated with objects.
...ANSWER
Answered 2021-Jun-06 at 11:56You can write a generic solution for all the keys without actually mentioning the keys individually. Try following code snippet:
QUESTION
I have a Node.js app running a React front-end hosted on Heroku which is linked to a Github repository so that on push it redeploys the app. I have been using the app this way without problem for around a year now.
It works on Heroku Local, and running the node app locally without Heroku but I'm getting a 503 service unavailable error when I run a put request when running the app online.
2021-06-01T08:04:27.326913+00:00 heroku[router]: at=error code=H12 desc="Request timeout" method=PUT path="/api/auth/login" host=myapp.herokuapp.com request_id=9b84f5c5-def4-4dce-82d2-baf1bef3a9a8 fwd="90.215.204.78" dyno=web.1 connect=1ms service=30000ms status=503 bytes=0 protocol=https
Any pointers?
...ANSWER
Answered 2021-Jun-03 at 14:54It was fixed by adding a Procfile with: "web:server/index.js" as well as specifying the Node version specifically changing the code in my package.json from:
"engine":"12.x",
to:
"engines": { "node":"v12.18.3" },
I think it is likely the package.json change that ultimately fixed the problem.
QUESTION
Im struggling to create a Regex that finds all placeholder occurrences in a given text. Placeholders will have the following format:
...ANSWER
Answered 2021-Jun-02 at 14:33string input = "[{PRE.Word1.Word2}]";
// language=regex
string pattern = @"\[{ PRE \. (?'group1' .{1,15}? ) \. (?'group2' .{1,64}? ) }]";
var match = Regex.Match(input, pattern, RegexOptions.IgnorePatternWhitespace);
Console.WriteLine(match.Groups["group1"].Value);
Console.WriteLine(match.Groups["group2"].Value);
QUESTION
I deployed my Node.js WebApp to heroku but I'm getting this error
...ANSWER
Answered 2021-Jun-01 at 09:41Remove the engines from your package.json and try running it again. It looks like there was an issue related to this
QUESTION
I have a Docker container which I'm trying to deploy as a Heroku application. My application is called
...ANSWER
Answered 2021-May-31 at 00:47Since you do not have a detailed log file, it is difficult to troubleshoot here. You can try doing this first to pinpoint the exact issue:
QUESTION
I have deployed my flask project on heroku but for some reason I am getting this error
Application error An error occurred in the application and your page could not be served. If you are the application owner, check your logs for details. You can do this from the Heroku CLI with the command heroku logs --tail
Here's the tail log:-
...ANSWER
Answered 2021-May-28 at 19:10I managed to solve this problem by renaming my file from run.py to app.py
But according to @saransh singh in the comments
we can also solve it by making changes in the procfile
from web: gunicorn app:run
To web: gunicorn run:app
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