mp4 combiner

, according to the map output. Then, in each partition, press key to sort inside. If you have combiner action , it will be done on the output after sorting. When the above steps are complete, the overflow thread begins to write to the disk. Note : compressing the map output while writing a disk can not only speed up the write disk, save disk space, but also reduce the amount of data passed to reduce. The default is no compression, boot compression

1, for the input of the map, the input data is first cut into equal shards, for each shard to create a map worker, where the size of the tile is not arbitrarily set, is generally the same size as the HDFS block, the default is 64MB, The maximum size of an input data slice that is stored on a node is the block size of HDFs, and when the size of the tile is larger than the HDFS block, it causes the transfer between nodes, which takes up bandwidth.2. Map worker calls the user-written map function t

tab, the entire row is null as the Key,value value. Specific parameter tuning can refer to http://www.uml.org.cn/zjjs/201205303.asp basic usage Hadoophome/bin/hadoopjar Hadoop_home/bin/hadoop jar\ hadoop_home/share/hadoop/tools/lib/ Hadoop-streaming-2.7.3.jar [Options] Options --input: Input file path --output: Output file path --mapper: The user writes the mapper program, can be an executable file or script - -reducer: The user writes the reducer program, can be executable or script --fil

, first sorted by the partition to which the data belongs, and then by key in each partition. The output includes an index file and a data file. If Combiner is set, it will run on the basis of the sort output. combiner is a minireducer, it runs map task node itself, the output of the map to do a simple reduce, making map output more compact, Less data is written to disk and transferred to reducer. The spill

. The spill thread writes the buffer's data to disk in a two-time order, starting with the sort of partition the data belongs to, and then sorting by key in each partition. The output includes an index file and a data file. If Combiner is set, it will run on the basis of the sort output. Combiner is a mini Reducer, which runs on the node itself that performs the map task, making a simple reduce to the outpu

play. Where: MP4 can be played directly. RMVB \ FLV and other video streams that need to be converted from the server to MP4 in real time are then transmitted to the client on iOS. Note: Real-time conversion. It seems that the CPU usage in Windows is still quite high, which is very environmentally friendly. The AirVideo client playing a video player in Apple looks the same as playing a player on a video

Ffmpeg-i test.mp4-threads 4-vcodec mpeg4-b:v 1000k test_a1.mp4ffmpeg-i test.mp4-threads 8-vcodec mpeg4-b:v 800k t Est_a2.mp4ffmpeg-i test.mp4-threads 8-vcodec mpeg4-b 200k test_a3.mp4--Open 8 threads, compression rate-CRF the smaller the resolution the higher ffmpeg-i Test.mp4-thre Ads 8-CRF 22-y-vcodec mpeg4-strict experimental test_b1.mp4ffmpeg-i test.mp4-threads 8-CRF 26-y-vcodec mpeg4-s Trict experimental test_b2.mp4ffmpeg-i test.mp4-threads 8-CRF

. flv││├ Lesson 10 The second exercise project: Crawling product information. swf││├ Lesson 11 The Third lesson: Web page parsing in the real world. flv││├ Lesson 12 The third exercise project: Crawling rental information. swf││├ Lesson 13 The fourth lesson: How to get Dynamic Data from a Web page. flv││├ Lesson 14 The fourth exercise project: Climbing the mold picture. swf││├ Lesson 15 first week actual combat: Crawl a page of product data. swf││├ Lesson 16 The first week of actual combat opera

program(7)-combiner: User-defined Combiner program (must be implemented in Java)(8)-D: Some properties of the job (formerly-jonconf), specifically:1) Number of mapred.map.tasks:map tasks2) Number of mapred.reduce.tasks:reduce tasks3) Stream.map.input.field.separator/stream.map.output.field.separator:map task input/output numberThe default is \ t for the delimiter.4) Stream.num.map.output.key.fields: Specif

a job (the output of a job can be generated by CER, or map if there is no reducer) is controlled by OutputFormat. OutputFormat is responsible for determining the output data address, and RecordWriter is responsible for writing data results. ★? RecordWriter: RecordWriter defines how each output record is written. The following describes two optional components for MapReduce execution. ★? Combiner: This is an optional execution step that can optimize M

the Maptask.mapoutputbuffer. Saying goes simple overwhelming, then why there is a very simple implementation, to ponder a complex it. The reason is that it looks beautiful often with a thorn, simple output implementation, every call to write a file once collect, frequent hard disk operation is likely to lead to the inefficiency of this scenario. In order to solve this problem, this complex version, it first open a memory cache, and then set a scale to do the threshold, open a thread to monitor

know it very well. So let's take a look at the programming model for further understanding.Overview of the MapReduce programming modelMapReduce programming Model4. Problem creationWe read the above article, this time there will be some nouns, concepts into our minds.Except for the Map,reduce,task,job,shuffe,partition,combiner, these confuse us.We have the following problems:The number of maps is determined by who, and how to calculate them.Reduce the

Hadoop Streaming usage Usage: $HADOOP _home/bin/hadoop jar \ $HADOOP _home/hadoop-streaming.jar [Options] Options (1)-input: Input file path (2)-output: Output file path (3)-mapper: User-written mapper program, can be executable file or script (4)-reducer: User-written reducer program, can be executable file or script (5)-file: Packaging files to the submitted job, can be mapper or reducer to use the input files, such as configuration files, dictionaries and so on. (6)-partitioner: User-defined

[Video conversion class ]??? Here we will briefly introduce the software required to build a video website, including ffmpeg and mplayer. They are mainly used for video transcoding. ffmpeg can basically process all video files in all formats, but cannot transcode videos in rmvb and rm formats, you need to use the MPlayer transcoding tool to complete the transcoding task .?? To play the video on a webpage, you need to transcode the php tool class [video conversion class] ? ? ? Here we will bri

server and select play. Where: MP4 can be played directly. RMVB \ FLV and other video streams that need to be converted from the server to MP4 in real time are then transmitted to the client on iOS. Note: Real-time conversion. It seems that the CPU usage in Windows is still quite high, which is very environmentally friendly. The AirVideo client playing a video player in Apple looks the same as playing a p

still don't know how to solve the problem. Moreover, the image is mosaic when streaming is configured on the GUI. There may be problems. 4. Live Video solution: A) if problem 3 is solved, live streaming ts can be implemented through a solution; B) If problem 3 cannot be solved, live streaming ts requires a development scheme. You can consider adding TS Streaming code in the middle of mp4live. It is recommended to adopt solution B because we need to rewrite some information such as the PID, whic

youtube-dl-u #程序升级youtube-dl--get-format url #获取视频格式youtube-dl-f URL #获取所有格式 (currently YouTube only), for example: Youtube-dl-f Http://www.youtube.com/watch?v=n-bxnxvtvv4[youtube] Setting Language[youtube] N-bxnxvtvv4:downloading video Webpage[youtube] n-bxnxvtvv4:downloading video info webpage[youtube] N-BXNXvTvV4: Extracting video informationavailable formats:37:mp4 [1080X1920]46:WEBM [1080x1920]22 : MP4