ota streaming

Design BackgroundSpark Thriftserver currently has 10 instances on the line, the past through the monitoring port survival is not accurate, when the failure process does not quit a lot of situations, and manually to view the log and restart processing services This process is very inefficient, so design and use spark Streaming to the real-time acquisition of the spark Thriftserver log, through the log to determine whether the service stopped service, s

-write log before the database is actually changed. This guarantees that the timestamp of the pre-write log will never lag behind the database, even if the server is suddenly crashing at the time of the write, and the data can be recovered from the pre-write log after the restart because the pre-write log retains the newer version than the database record. The asynchronous replication solution for PostgreSQL is the use of a pre-written log to transfer the pre-written log from the primary server

Distributed computing system framework, according to the characteristics of data set, mainly divided into data-flow and streaming two kinds. Data-flow mainly data blocks for data processing data, representing: MR, Spark, and so on, I call them big data, and streaming is mainly processing the data obtained within the unit, this way, more focus on real-time, mainly including Strom, jstorm and Samza, etc. , I

Spark streaming can receive streaming data from any arbitrary data source beyond the one's for which it has in-built support (that is, beyond flume, Kafka, files, sockets, etc .). this requires the developer to implementCyclerThat is customized for processing data from the concerned data source. This Guide walks through the process of implementing a custom processing er and using it in a spark

Playing and downloading streaming media in iOS Introduction to streaming media in iOS: A stream playing mode between downloading local playback and Real-Time Streaming Media. Downloading local playback must download all files before playing, incremental download does not have to wait until all the downloads are completed before playing the video. It can download

Hadoop provides mapreduce with an API that allows you to write map and reduce functions in languages other than Java: hadoop streaming uses standard streamams) as an interface for data transmission between hadoop and applications. Therefore, you can write the map and reduce functions in any language, as long as it can read data from the standard input stream (stdin) and write the output data to the standard output stream (stdout.

Apache Kafka is a distributed message publishing-subscription system. It can be said that any real-time big data processing tools lack of integration with Kafka is incomplete. This article will show you how to use Spark streaming to receive data from Kafka, here are two approaches: (1), using receivers and Kafka high-level APIs, (2), using the direct API, This is used in low-level KAFKAAPI and is not used to receivers, which is introduced in Spark 1.3

Original address: http://www.javacodegeeks.com/2015/02/streaming-big-data-storm-spark-samza.htmlThere is a number of distributed computation systems that can process the Big Data in real time or near-real time. This article'll start with a short description of three Apache frameworks, and attempt to provide a quick, high-level ov Erview of some of their similarities and differences.Apache StormIn Storm, you design a graph of real-time computation call

First, the Java Way development1, pre-development preparation: Assume that you set up the spark cluster.2, the development environment uses Eclipse MAVEN project, need to add spark streaming dependency.3. Spark streaming is calculated based on spark core and requires attention:Set local master, you must configure at least two threads, or set it through sparkconf, if you specify locally, since the spark

Goal:Build a live Streaming media server system (Linux operating system)Background:A set of streaming media server systems for OTT-TV large concurrent live and on-demand. Supports server-side solutions that record back and live on N x 24 hours.Solution:L Microsoft Windows Media ServicesL Server-side software: Windows Media ServerL Platform: WindowsL file Format: ASF, WMV-------------------------------------

Streaming replication Slots is a pending feature in PostgreSQL 9.4, as part of the logical changeset extraction feature.What is they for, what does need to know, what changes?What is replication slots?Streaming replication slots is a new facility introduced in PostgreSQL 9.4. They was a persistent record of the state of a replica that was kept on the master server even when the replica was OFFL INE and disc

The live555 streaming media server is one of the related projects that I've done before in retrospect, so let's take a look at the live555 Open source framework's compilation method under Windows today.LIVE555 is a set of open-source C + + libraries that use open standard protocols (RTP/RTCP, RTSP, SIP) to process multimedia streaming data using the LGPL protocol. These libraries can be compiled into UNIX (

Many distributed computing systems can handle big data streams in real-time or near real-time. This article will briefly introduce the three Apache frameworks, and then try to quickly and highly outline their similarities and differences.Apache StormIn storm, we first design a graph structure for real-time computing, which we call topology (topology). This topology will be presented to the cluster, which distributes the code by the master node in the cluster and assigns the task to the worker no

In the following example, I will use red5 as the Streaming Media Server and use the xml configuration file reading technology, mongodobject parameter passing and event passing mechanisms (note: the event itself can store and PASS Parameters ). Read the configuration file, including the streaming media service connection address and the name of the initialized video. Code highlighting produced by Actipro

There have also been recent studies using spark streaming for streaming. This article is a simple example of how to do spark streaming programming with the flow-based count of word counts.1. Dependent jar PackagesRefer to the article "Using Eclipse and idea to build the Scala+spark development environment," which specifies a dependency library Spark-streaming_2.1

-lapse interactive voice-on-demand on the internet is a commonplace thing, but it is working on the Internet, in the more ocean over the sea of the congested links on the road, the sound of delay and loss is often difficult to accept. Even in the Continental region, the quality of the sound is greatly reduced due to the congestion at the peak.　　Summed up, the current multimedia network application to focus on the problem is: ① increase network bandwidth, ② reduce delay (delay), ③ reduce jitter (

Many distributed computing systems can handle big data streams in real-time or near real-time. This article will briefly introduce the three Apache frameworks, and then try to quickly and highly outline their similarities and differences. Apache Stormin Storm, we first design a graph structure for real-time computing, which we call topology (topology). This topology will be presented to the cluster, which distributes the code by the master node in the cluster and assigns the task to the worker n

Release date: 20090410 Author: maxblog reposted Source: blog recommender of maxblog: Nian Xue The mobile online streaming media project in the previous stage has finally come to an end. The following is a summary and accumulation of development:1. online streaming media playing on mobile phones has many restrictions, including:1) The network speed of the mobile phone is limited. GPRS is g

Use nginx and nginx-rtmp-module in Ubuntu to set up the correct posture of the Streaming Media Server. nginxrtmpmodule When I used nginx and nginx-rtmp-module to build a Streaming Media Server, I encountered an embarrassing problem: when I added the nginx-rtmp-module to nginx, I first uninstalled the original nginx, and then downloaded the source code of nginx and nginx-rtmp-module to re-compile and install

Streaming Media Server. Streaming Media Servers are used in large-scale video conferences, audio and video training for enterprises; network-based on-demand video, broadcast, live broadcast, and other enterprise-level network-based media communication applications have a great future and wide application value. In today's streaming media server market, there