fsc ssc

(such as user name/password, shared secret key, and so on) between multiple authentication modules. This allows security credentials to be shared among the login modules used by multiple applications, enabling SSDO Jaas to multiple applications to provide a shared state mechanism that enables the login module to put the authentication credentials into a shared map and then pass it to the other login modules defined in the configuration file. In a typical SS () scenario, multiple applications mu

) { About e.printstacktrace (); $ } - } - if(selector!=NULL){ - Try { A selector.close (); +}Catch(Exception e) { the e.printstacktrace (); - } $ } the } the the Private voidHandleinput (Selectionkey key)throwsioexception{ the if(Key.isvalid ()) { - //request to process new Access in if(Key.isacceptable ()) { theServersocketchannel ssc=(Serversocketcha

(); // pause the Console; otherwise, the Console will be suspended.}Catch (WebException webEx ){Console. WriteLine (webEx. Message. ToString ());}} Method 2: Use WebBrowser (reference from: http://topic.csdn.net/u/20091225/14/4ea221cd-4c1e-4931-a6db-1fd4ee7398ef.html) WebBrowser web = new WebBrowser();web.Navigate("http://www.xjflcp.com/ssc/");web.DocumentCompleted += new WebBrowserDocumentCompletedEventHandler(web_DocumentCompleted);void web_Documen

Configuration object sparkconf, set the runtime configuration information for the SPARK program, * For example, by Setmaster to set the URL of the master of the Spark Cluster to which the program is linked, if set * For local, the spark program is run locally, especially for beginners with very poor machine configuration conditions (e.g. * only 1G of memory) * */ Valconf =NewSparkconf ()//Create sparkconf ObjectConf.setappname ("Onlineblacklistfilter")//Set the name of the application, whi

is run locally and is particularly suitable for very poor machine configuration conditions (e.g.* Only 1G of memory) for beginners **/Val conf = new sparkconf ()//Create sparkconf ObjectConf.setappname ("Onlineblacklistfilter")//Set the name of the application, you can see the name in the monitoring interface of the program runConf.setmaster ("spark://master:7077")//At this time, the program is in the Spark clusterVal SSC = new StreamingContext (conf

) The exception here is because the Kafka is reading the specified offset log (here is 264245135 to 264251742), because the log is too large, causing the total size of the log to exceed Fetch.message.max.bytesThe Set value (default is 1024*1024), which causes this error. The workaround is to increase the value of fetch.message.max.bytes in the parameters of the Kafka client.For example://kafka configuration file val kafkaparams = map[string, String] ("Metadata.broker.list", Brokers, "fetch.messa

. The more important parameters are the first and third, the first parameter is the cluster address that specifies the spark streaming run, and the third parameter is the size of the batch window that specifies the spark streaming runtime. In this example, the 1-second input data is processed at the spark job. val SSC = new StreamingContext ("spark://...", "WordCount", Seconds (1), [Homes], [Jars]) Spark Streaming input op

, wait to receive MSG processing Jobdefstart ():unit=synchronized{ if (eventactor!=null) return//schedulerhasalready beenstartedlogdebug ("Startingjobscheduler") Eventactor=ssc.env.actorsystem.actorof (Props (newactor{ defreceive={caseevent: Jobschedulerevent=>processevent (Event) } }), "Jobscheduler") //2nd step start listenerbus,receivertracker,jobgenerator listenerbus.start ()//streaminglistenerbus instance receivertracker= newreceivertracker (SSC

SSC =NewStreamingContext (Conf, Seconds (5)) Val lines= Ssc.sockettextstream ("Master", 9999) Val Words= Lines.flatmap (_.split ("")) Val wordcounts= Words.map (x = (x, 1)). Reducebykey (_ +_) Wordcounts.foreachrdd {Rdd=rdd.foreachpartition {partitionofrecords={val Connection=connectionpool.getconnection () Partitionofrecords.foreach (record={val SQL= "INSERT into Streaming_itemcount (Item,count) VALUES ('" + record._1 + "'," + record._2 + ")"Val stm

name in the monitoring interface of the program runConf.setmaster ("spark://master:7077")//At this time, the program runs on the spark clusterConf.setmaster ("local[6]")//LocalSet the batchduration time interval to control the frequency of job generation and create portals for spark streaming executionVal SSC = new StreamingContext (conf, Seconds (30))Val lines = Ssc.sockettextstream ("Master", 9999)Val wordcounts = Lines.flatmap (_.split ("")). Map

filter out the blacklist click Online, to protect the interests of advertisers, Only effective AD click Billing * or in the anti-brush scoring (or traffic) system, filter out invalid votes or ratings or traffic; * Implementation technology: Use Transform API directly based on RDD programming for join Operations */object Onlineblacklistfilter {def main (args:array[string]) {/** * 1th step: Create a Spark Configuration object sparkconf, set the runtime configuration information for the Spar

Kafka.serializer.StringDecoderImport Org.apache.spark.streaming.kafka.KafkaUtilsImport org.apache.spark.streaming. {durations, StreamingContext}ValSSC =NewStreamingContext (SC,durations.seconds(5))kafkautils.Createdirectstream[String,String,Stringdecoder,Stringdecoder] (SSC,Map("Bootstrap.servers" -"master:2181,worker1:2181,worker2:2181","Metadata.broker.list" -"master:9092,worker1:9092,worker2:9092","Group.id" -"Streamingwordcountselfkafkadirectstre

the program, the program runs in the monitoring interface can see the name//Conf.setmaster ("spark://master:7077")//At this time, the program in the Spark cluster Conf.setmaster ("local[6]")//Set BA Tchduration time interval to control the frequency of job generation and to create a spark streaming execution portal Val SSC = new StreamingContext (conf, Seconds (5)) Ssc.checkpoint (" /root/documents/sparkapps/checkpoint ") Val Userclicklogsdstream = S

, sample.Wide dependency operatorWide dependencies involve the shuffle class, which produces the stage at the time of the Dag diagram resolution.A single RDD is based on key reorganization and reduce, such as Groupbykey, Reducebykey;Joins and reorganizes two RDD based on key. such as join, Cogroup.3. Cache operator : for the RDD to be used multiple times, it can buffer the speed of execution, and can adopt multi-backup cache for key data.4, action operator : The results of the operation of the R

ExampleListen for the socket port, count the number of words received every 5 seconds, and output the text to the screen.Importorg.apache.spark.SparkConfImportOrg.apache.spark.storage.StorageLevelImportorg.apache.spark.streaming. {Seconds, StreamingContext}Importorg.apache.spark.streaming.StreamingContext.toPairDStreamFunctions/*** Spark Streaming example, count the number of occurrences of all words in the input **/Object Streamingwordcount {def main (args:array[string]) {if(Args.length ) {Sys

When writing a lot of tools, the 7z command may be used to compress and decompress the operation. Here are two more commonly used operations: compression, decompression. Enter the 7z command in the DOS window to display the details of the 7z usage parameters: 7-zip 9.10 Beta Copyright (c) 1999-2009 Igor Pavlov 2009-12-22 usage:7z [ A:add Files to archiveB:benchmarkD:delete Files from archiveE:extract files from archive (without using directory names)L:list contents of ArchiveT:test

is based on key reorganization and reduce, such as Groupbykey, Reducebykey;Join and reorganize two RDD based on key, such as join, Cogroup.3, Cache operators : For the RDD to be used more than once, can be buffered to speed up the speed of operation, the important data can be used for multi-backup cache.4, action operator : The results of the operation of the RDD converted into raw data, such as count, reduce, collect, saveastextfile and so on.WordCount Example:1, Initialize, build Sparkcontext

Introduction: This is a detailed page of PHP traversal Stdclass object, introduced and PHP, related knowledge, skills, experience, and some PHP source code and so on. class= ' pingjiaf ' frameborder= ' 0 ' src= ' http://biancheng.dnbcw.info/pingjia.php?id=337766 ' scrolling= ' no ' > Turn from: Close your eyes to see the sky-Baidu space Traversing Stdclass object in PHP 2010-03-22 11:22 Data that needs to be manipulated:$test =array ( [0] = StdClass Object (

website page, use this sentenceConsole.WriteLine (pagehtml);//Enter what you get in the console using(StreamWriter SW =NewStreamWriter ("c:\\test\\ouput.html"))//writes the acquired content to the text{SW. Write (pagehtml); } console.readline (); } Catch(WebException webEx) {Console.WriteLine (webEx.Message.ToString ()); } }Method Two: Use WebBrowserWebBrowser Web =NewWebBrowser (); web. Navigate ("http://www.xjflcp.com/