parsec streaming

Applicative parsingUse the applicative type of Parser.Operators include use (import Control.Monad-- showimport Text.Parsecimport Control.Applicative hiding ((*Main> mainEnter a float: 2.32.3Enter a float: 11.0Enter a float: -1-1.0Enter a float: +6.986.98 Plus = char ' + ' *> numberP1 *> P2 matches p1 and P2 in turn, but P1 is discarded, returning only P2. minus = (:) (:) Here P1 matches the result is the character, P2 matches the result is the string, therefore uses (:) To connect.

"Note" This series of articles, as well as the use of the installation package/test data can be in the "big gift –spark Getting Started Combat series" get1 Spark Streaming Introduction1.1 OverviewSpark Streaming is an extension of the Spark core API that enables the processing of high-throughput, fault-tolerant real-time streaming data. Support for obtaining data

NDK develops live streaming program for Android-side rtmp After a toss-up, the success of the rtmp live streaming code, through the NDK cross-compiled way, ported to Android, thus realizing the Android side acquisition camera and mic seam data, then the H264 video encoding and AAC audio encoding, and sent to the RTMP server, To enable live Android camera. The program, called Ndkrtmpencoder, introdu

First, Local: Using JAVACV (Android and Java Platform recommended JAVACV), FFmpeg, OpenCV or JMF can easily get to the local camera streaming media JAVACV Series articles: JAVACV Development 1: Call native webcam video JAVACV Development in Detail 2: The implementation of the converter, push the local camera video to the streaming media server and camera recording video func

1. Introduction to Spark streaming 1.1 Overview Spark Streaming is an extension of the Spark core API that enables the processing of high-throughput, fault-tolerant real-time streaming data. Support for obtaining data from a variety of data sources, including KAFK, Flume, Twitter, ZeroMQ, Kinesis, and TCP sockets, after acquiring data from a data source, you can

Pick Want streaming media file format plays an important role in streaming media system, so designing a reasonable file format is the most direct and effective way to improve the efficiency of streaming media server. Based on the analysis of the common streaming media system and file format, this paper In particular,

The IIS live Smooth streaming (real-time smooth streaming) is Microsoft's next generation streaming media solution. The technology is to integrate the media transport platform IIS Media Services in the IIS Web to enable the use of standard HTTP Web technology and advanced Silverlight functionality to ensure the best quality and smooth audio and video broadcasts o

SOURCE Link: Spark streaming: The upstart of large-scale streaming data processingSummary: Spark Streaming is the upstart of large-scale streaming data processing, which decomposes streaming calculations into a series of short batch jobs. This paper expounds the architecture

Real-time streaming processing complete flow based on flume+kafka+spark-streaming 1, environment preparation, four test server Spark Cluster Three, SPARK1,SPARK2,SPARK3 Kafka cluster Three, SPARK1,SPARK2,SPARK3 Zookeeper cluster three, SPARK1,SPARK2,SPARK3 Log Receive server, SPARK1 Log collection server, Redis (this machine is used to do redis development, now used to do log collection test, the hostname

first of all, I admire eguid, whether it is technology or sharing, thanks to his series of Bowen on my first learning process help, so clearly indicated the reprint address: http://blog.csdn.net/eguid_1/article/details/51725970 one, the local push to send the end1, Local: The use of JAVACV (Android and Java Platform recommended JAVACV), FFmpeg, OpenCV or JMF can be very convenient access to the local camera streaming media JAVACV Series arti

Contents of this issue:　　1. Spark Streaming Architecture2. Spark Streaming operating mechanism　　Key components of the spark Big Data analytics framework: Spark core, spark streaming flow calculation, Graphx graph calculation, mllib machine learning, Spark SQL, Tachyon file system, Sparkr compute engine, and more.　　　　Spark str