apache flink course

650) this.width=650; "src=" Http://storm.apache.org/images/logo.png "class=" logo "alt=" logo.png "/>Storm provides a common set of primitives for distributed real-time computing that can be used in "streaming" to process messages and update databases in real time. This is another way to manage queues and worker clusters. Storm can also be used for "continuous computing" (continuous computation), which makes continuous queries on the data stream, and outputs the results as streams to the user at

) Perform the installation as DSO (BIN/APACHECTL-M see if it is installed) Just copy the following configuration to the end of http.conf to save all virtual hosts Deflatecompressionlevel 9 #压缩的等级, the greater the compression level, the higher the CPU consumptionSetoutputfilter DEFLATE #启用压缩Addoutputfilterbytype DEFLATE text/html text/plain text/xml #这三行设置压缩类型Addoutputfilterbytype DEFLATE Application/javascriptAddoutputfilterbytype DEFLATE Text/cssAlso available as a Curl

,COLLECT,COLLECTASMAP)4. Variable sharingSpark has two different ways to share variablesA. Variables after broadcast broadcast,broadcast each partition will be stored in one copy, but can only be read and cannot be modified >>>NBSP; b Span class= "o" style= "color: #666666;" >= sc broadcast ([ 1 2 3 4 5 ]) >>> SC . parallelize ([0,0]) . FlatMap (Lambdax:b. value )B. Accumulator accumulator, can only write, cannot be read in workerIf the accumulator is just a scalar, it is easy