streamed | Casual live data stream and visualization server | Data Visualization library

you flutter channel is unknown .

the version is unknown and seems to be on web developer mode so

if you are using it for android devices , it is better to switch to

Consider that dealing with big files (lets say bigger than hundreds of MB) involves some security and usability concerns (resuming, overflows, etc.). An interesting reading in this regard is this.

Another consideration is about how .Net handles multipart requests and the different options to upload files:

• Multipart/form-data
• Multipart/related
• Base64 encoded file with Application/json content-type
• Using the body request with MIME types

Also the RFC multipart specification is very interesting because you can learn how the boundaries in a request are defined. I think the best way to handle this requirements is by using libraries that allow you to resume files or retry.

The most simple solution in your case would be to send the variables as part of the multipart content instead of hardcoded in the url request as well as giving a name to the stream content so you let the "magic" behind the WebApi maps this properly:

The hardware acceleration allows the HDCP content to remain encrypted all the way to the display. By disabling it, the video is decrypted in software usually at a reduced resolution and/or frame rate.

I write code for this to see how it works, that's not efficient.

StreamSaver is targeted for those who generate large amount of data on the client side, like a long camera recording for instance. If the file is coming from the cloud and you already have a Content-Disposition attachment header then the only thing you have to do is to open this URL in the browser.

There is a few ways to download the file:

• location.href = url
• download
• </code></li> <li>and for those who need to post data or use a other HTTP method, they can post a (hidden) <code><form></code> instead.</li> </ul> <p>As long as the browser does not know how to handle the file then it will trigger a download instead, and that is what you are already doing with <code>Content-Type: application/octet-stream</code></p> <hr /> <p>Since you are downloading the file using Ajax and the browser knows how to handle the data (giving it to main JS thread), then <code>Content-Type</code> and <code>Content-Disposition</code> don't serve any purpose.</p> <p>StreamSaver tries to mimic how the server saves files with ServiceWorkers and custom responses.<br /> You are already doing it on the server! The only thing you have to do is stop using AJAX to download files. So I don't think you will need StreamSaver at all.</p> <hr /> <h3>Your problem</h3> <p>... is that you first download the whole data into memory as a Blob first and then you save the file. This defeats the whole purpose of using StreamSaver, then you could just as well use the simpler FileSaver.js library or manually create an object url + link from a Blob like FileSaver.js does.</p> <pre><code>Object.assign( document.createElement('a'), { href: URL.createObjectURL(blob), download: 'name.txt' } ).click() </code></pre> <p>Besides, you can't use Angular's HTTP service, since they use the old <code>XMLHttpRequest</code> instead, and it can't give you a ReadableStream like <code>fetch</code> does from <code>response.body</code> so my advice is to just simply use the Fetch API instead.</p> <p><a href="https://github.com/angular/angular/issues/36246" rel="nofollow noreferrer">https://github.com/angular/angular/issues/36246</a></p>

Your code reads the length of the diff for the last 100 ms or 1000 ms (the default value when you don't specify the timeframe). I.e. the remote API sends just the diff, not the full list.

The varying length of the diff is expected.

Example:

An order book has 2 bids and 2 asks:

• ask price 1.02, amount 10
• ask price 1.01, amount 10
• bid price 0.99, amount 10
• bid price 0.98, amount 10

During the timeframe, one more bid is added and one ask is updated. So the message returns:

Why is this?

Generating {1..99999999} 100000000 arguments and then parsing them requires a lot of memory allocation from bash. This significantly stalls the whole system.

Additionally, large chunks of data are read from /dev/urandom, and about 96% of that data are filtered out by tr -dc '0-9'. This significantly depletes the entropy pool and additionally stalls the whole system.

Is the data buffered somewhere?

Each process has its own buffer, so:

• cat /dev/urandom is buffering
• tr -dc '0-9' is buffering
• fold -w 5 is buffering
• head -n 1 is buffering
• the left side of pipeline - the shell, has its own buffer
• and the right side - | cat has its own buffer

That's 6 buffering places. Even ignoring input buffering from head -n1 and from the right side of the pipeline | cat, that's 4 output buffers.

Also, save animals and stop cat abuse. Use tr , instead of cat /dev/urandom | tr. Fun fact - tr can't take filename as a argument.

Third option: don't move the file data through your app at all. Have the user upload it directly to object storage. This usually means making an API which returns a pre-signed upload URL that's valid for a few minutes, user uploads the file, then makes another call to let you know the upload is finished. Then your async task can download it and do whatever.

If I understand correctly, you want to remove some lines from a file or string. You don't need search and replace if you know the line numbers. Here is my solution for this,