prometheus streaming

Http://itindex.NET/detail/48702-nginx-rtmp-httpOne, streaming media playback mode1. HTTP modeThis way to download the FLV video file to local playback, once the FLV video file download is complete, will not consume the server resources and bandwidth, but the drag function is not rtmp/rtmp streaming media powerful, many video sites are implemented in HTTP, such as: YouTube, potatoes, cool 6, etc.2, rtmp/rtmp

Due to server-side security factors, more network administrators prefer to build a streaming media server system (800Li Media Server) under the Linux operating system for real-time live and on-demand internet. So how to install and configure the streaming media server system under the Linux operating system? The following is a detailed installation configuration description. (For example, installation and c

Original post address: http://cp1985chenpeng.iteye.com/blog/1312976 1. Overview Hadoop streaming is a programming tool provided by Hadoop that allows users to use any executable file or script file as mapper and reducer, for example: $HADOOP _home/bin/hadoop jar $HADOOP _home/hadoop-streaming.jar \ -input/user/test/input \ -output/user/test/output \ -mapper "mymapper.sh" \ -reducer "Myreducer.sh" -input and so on are the parameters for this command.

Hadoop Streaming is a tool for Hadoop that allows users to write MapReduce programs in other languages, and users can perform map/reduce jobs simply by providing mapper and reducer For information, see the official Hadoop streaming document. 1, the following to achieve wordcount as an example, using C + + to write mapper and reducer The Mapper.cpp code is as follows: #include The Reducer.cpp code is as fo

All you have to say The purpose of using Nginx to build streaming media platform is to support the RTMP protocol, which enables users to use RTMP (RTMP://192.168.201.128/MYAPP) protocol to push streaming to the server. The other user then requests the video stream information that the user pushes. Since it is the RTMP protocol, so you can use Adobe's Flashmedialiveencoder program, but also can be more profe

Thanks for the original link: https://www.jianshu.com/p/a1526fbb2be4 Before reading this article, please step into the spark streaming data generation and import-related memory analysis, the article is focused on from the Kafka consumption to the data into the Blockmanager of this line analysis. This content is a personal experience, we use the time or suggest a good understanding of the internal principles, not to copy receiver evenly distributed to

Ksql is a streaming SQL engine built based on the Kafka streams API , Ksql lowers the threshold for Ingress stream processing and provides a simple, fully interactive SQL interface for processing Kafka data. Ksql is an open source, distributed, extensible, reliable , and real-time component based on the Apache 2.0 license. supports a variety of streaming operations, including aggregation (aggregate), connec

BackgroundCompared with the traditional batch analysis platform such as Hadoop, the advantage of streaming analysis is real-time, that is, can be analyzed in the second-level delay.Of course, the disadvantage is that it is difficult to ensure strong consistency, that is, exactly-once semantics (in the premise of massive data, in order to guarantee the throughput, can not use similar transaction strong consistency scheme).General

This article records some examples of flash-based streaming media processing. The most common streaming media protocol for the Flash platform is rtmp. Some of the previously documented RTMP players/boosters are based on C + +, but no rtmp player/ejector based on ActionScript in Flash was recorded. In fact, the RTMP player/ejector based on Flash is a "regular" in rtmp technology. RTMP itself is designed to c

Forwarded from the Mad BlogHttp://www.cnblogs.com/lxf20061900/p/3866252.htmlSpark Streaming is a new real-time computing tool, and it's fast growing. It converts the input stream into a dstream into an rdd, which can be handled using spark. It directly supports a variety of data sources: Kafka, Flume, Twitter, ZeroMQ, TCP sockets, etc., there are functions that can be manipulated:,,, map reduce joinwindow等。This article will connect spark

https://mapr.com/blog/real-time-credit-card-fraud-detection-apache-spark-and-event-streaming/Editor ' s Note: Has questions about the topics discussed in this post? Search for answers and post questions in the Converge Community.In this post we is going to discuss building a real time solution for credit card fraud detection.There is 2 phases to Real time fraud detection: The first phase involves analysis and forensics in historical data to b

Structured streaming provides some APIs to manage streaming objects. These APIs allow users to manually manage the streaming that have been started, ensuring that the streaming in the system is executed in an orderly manner.1. StreamingqueryA Streamingquery object is returned after the start

Introduction to MapReduce and HDFsWhat is Hadoop? Google proposes a programming model for its business needs MapReduce and Distributed file systems Google File system, and publishes relevant papers (available on Google Research's web site: GFS, MapReduce). Doug Cutting and Mike Cafarella the two papers when they developed the search engine Nutch, the MapReduce and HDFs of the same name, together with Hadoop. MapReduce's data flow is shown in the following figure, the original is processed by m

ObjectiveFlowPlayer is an open source (GPL 3) Web video player. You can embed the player in your Web page, and if you are a developer, you can also freely customize and configure player-related parameters to achieve your desired playback. Supports playback of MP4, FLV, SWF and other streaming media as well as picture files, can play video files very smoothly, support custom configuration and extension.Test Project source file: http://download.csdn.net

A friend sent a video to record and download the video. he found the tool to download and synthesize the video. he cached the url of the corresponding streaming media, it can be downloaded or merged by url. we recommend that you download the streaming media file at the specified bit rate before merging... A friend sent a video to record and download the video. he found the tool to download and synthesize th

//Streaming layout ManagerImportjava.awt.*;Importjavax.swing.*; Public classJiemian2extendsjframe{//Defining ComponentsJbutton[] an = {NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL}; Public Static voidMain (string[] args) {//to run this class of construction methodsJiemian2 Jiemian =NewJiemian2 (); } PublicJiemian2 () {//Create buttonAn[0] =NewJButton ("Plum"); an[1] =NewJButton ("Fruit Shop")); an[2] =NewJButton ("Potato chips")); an[3] =NewJButto

1. Working mechanism of Spark streamingSpark Streaming is an extension of the Spark core API that enables the processing of high-throughput, fault-tolerant real-time streaming data. Support for data acquisition from a variety of data sources, including KAFK,Flume,Twitter,ZeroMQ,Kinesis, and TCP sockets, After fetching data from a data source, you can use advanced functions such as map,reduce,join, and wi

The MAVEN components are as follows: org.apache.spark spark-streaming-kafka-0-10_2.11 2.3.0The official website code is as follows:Pasting/** Licensed to the Apache software Foundation (ASF) under one or more* Contributor license agreements. See the NOTICE file distributed with* This work for additional information regarding copyright ownership.* The ASF licenses this file to under the Apache License, Version 2.0* (the "License"); You are no

The content of this lecture:A. Online dynamic computing classification the most popular product case review and demonstrationB. Case-based running source for spark streamingNote: This lecture is based on the spark 1.6.1 version (the latest version of Spark in May 2016).Previous section ReviewIn the last lesson , we explored the spark streaming architecture mechanism from the perspective of business. The spark stre