streaming

问题 I would like to write a program perferably in Java that can display animated overlays on a screen. The screen will then be broadcast streamed over the internet using a separate program called x-split. A good way to do this would be to create a transparent window in java which will display animated files (with transparancy) and the output of this window (Its display) should ideally appear in the webcam device list so it can be easily picked up by x-split which will allow it to be arranged

问题 I would like to write a program perferably in Java that can display animated overlays on a screen. The screen will then be broadcast streamed over the internet using a separate program called x-split. A good way to do this would be to create a transparent window in java which will display animated files (with transparancy) and the output of this window (Its display) should ideally appear in the webcam device list so it can be easily picked up by x-split which will allow it to be arranged

问题 I'd like to stream a big log file over the network using asyncio. I retrieve the data from the database, format it, compress it using python's zlib and stream it over the network. Here is basically the code I use: @asyncio.coroutine def logs(requests): # ... yield from resp.prepare(request) # gzip magic number and compression format resp.write(b'\x1f\x8b\x08\x00\x00\x00\x00\x00') compressor = compressobj() for row in rows: ip, uid, date, url, answer, volume = row NCSA_ROW = '{} {} - [{}] "GET

问题 I am writing a case to test flink two step commit, below is overview. sink kafka is exactly once kafka producer. sink step is mysql sink extend two step commit . sink compare is mysql sink extend two step commit , and this sink will occasionally throw a exeption to simulate checkpoint failed. When checkpoint is failed and restore, I find mysql two step commit will work fine, but kafka consumer will read offset from last success and kafka producer produce messages even he was done it before

问题 I am writing a case to test flink two step commit, below is overview. sink kafka is exactly once kafka producer. sink step is mysql sink extend two step commit . sink compare is mysql sink extend two step commit , and this sink will occasionally throw a exeption to simulate checkpoint failed. When checkpoint is failed and restore, I find mysql two step commit will work fine, but kafka consumer will read offset from last success and kafka producer produce messages even he was done it before

问题 I am writing a case to test flink two step commit, below is overview. sink kafka is exactly once kafka producer. sink step is mysql sink extend two step commit . sink compare is mysql sink extend two step commit , and this sink will occasionally throw a exeption to simulate checkpoint failed. When checkpoint is failed and restore, I find mysql two step commit will work fine, but kafka consumer will read offset from last success and kafka producer produce messages even he was done it before

问题 The streamer side keeps sending a sound sample of 2048 bytes along with the time as an integer, together in a tuple that gets pickled using pickle.dumps, and then its send in an UDP packet to the receiver, who then unpickles it, buffers it and then plays the sound sample. Everything was fine using python 3, the bits/seconds speed on the receiver were expected. When I runned the streamer in python 2.7, the speed was faster! I tough python 2 was somehow faster. Then I checked with wireshark the

问题 I've a question about buffer usage with StreamReader. Here: http://msdn.microsoft.com/en-us/library/system.io.streamreader.aspx you can see: "When reading from a Stream, it is more efficient to use a buffer that is the same size as the internal buffer of the stream.". According to this weblog , the internal buffer size of a StreamReader is 2k, so I can efficiently read a file of some kbs using the Read() avoiding the Read(Char[], Int32, Int32) . Moreover, even if a file is big I can construct

问题 I've a question about buffer usage with StreamReader. Here: http://msdn.microsoft.com/en-us/library/system.io.streamreader.aspx you can see: "When reading from a Stream, it is more efficient to use a buffer that is the same size as the internal buffer of the stream.". According to this weblog , the internal buffer size of a StreamReader is 2k, so I can efficiently read a file of some kbs using the Read() avoiding the Read(Char[], Int32, Int32) . Moreover, even if a file is big I can construct

问题 I am trying to share a live stream of my screen over an ExpressJS server. I cannot save ffmpeg output to a file or start more than one ffmpeg instance for performance reason. My current solution is to pipe ffmpeg's stdout and stream it to each connected client. index.js const express = require('express'); const app = express(); const request = require('request'); const FFmpeg = require('./FFmpeg'); const APP_PORT = 3500; app.get('/stream', function (req, res) { const recorder = FFmpeg