tsc yarn

Check the memory information, CAT/proc/meminfo. Similarly, check the CPU information. CAT/proc/cpuinfo sometimes has such questions. For example, if the 4-core CPU is a 2-core CPU * dual-core, or 1 CPU * quad core? There is a simple method: the number of processor, the number of cores, and the number of CPUs, depending on the physical ID + 1 of the last Processor For example: processor : 0vendor_id : GenuineIntelcpu family : 6model : 23model name : Pentium(R) Dual

start-all.sh Start principle step1:start-all.sh First look at the start-all.sh script in the Sbin directory. Throw comments with little content: # Start all Hadoop daemons. Run this on master node. This script is not recommended for use in hadoop-2.6.0. The recommended use is to start start-dfs.sh and start-yarn.sh separately. Its content steps: 1. Locate the path to the Bin folder and set Hadoop_libexec_dir this environment variable. 2. Execute the hadoop-config.sh script for Hadoop_libexec_d

calculate the second now (T2) -Next. Therefore, clock_gettime and clock_nanosleep are two key APIs to port javasictest to other operating systems. It depends on whether the corresponding APIs can be called in other operating systems. Let's take a look at the implementation of clock_gettime in the Linux kernel. For details, refer to clock_gettime.c: If clock_realtime is used, it puts the gettimeofday call time into the struct timeval variable and converts it to struct. Timespec type (the timeval

plugin maker, connect to cluster video, and hadoop-eclipse-plugin-2.5.0 plugin downloadII. Deployment Documentationbuild hadoop2.6.0 ha and yarn haHadoop 2.6.0 Single-node-pseudo-distributed mode installationthird, Apache Hadoop 2.6.0 new featuresApache Hadoop 2.6.0 released, the new stable version, the release frequency and quality is getting higher, and added a lot of things, from the size of the installation package can be seen, directly increased

Apache HadoopApache version derived faster, I will introduce you to the processThe Apachehadoop version is divided into two generations, we call the first generation Hadoop 1.0, and the second generation Hadoop called Hadoop 2.0. The first generation of Hadoop consists of three large versions, 0.20.x,0.21.x and 0.22.x, of which 0.20.x finally evolved into 1.0.x and became a stable version, while 0.21.x and 0.22.x Namenode new major features such as Ha. The second generation of Hadoop consists of

. When you actually develop your application, consider adding the following code to your program to automatically delete the output directory each time you run it, avoiding tedious command-line operations: (JAVA)Configuration conf = new Configuration();Job job = new Job(conf); /* 删除输出目录 */Path outputPath = new Path(args[1]);outputPath.getFileSystem(conf).delete(outputPath, true);To turn off Hadoop, run the ./sbin/stop-dfs.sh AttentionThe next time you start

The original installation is three nodes, today to install a single node, after the completion of MapReduce is always unable to submit to YARN, tossing an afternoon did not fix MR1 Job submitted to Jobtracker, in YARN should be submitted to ResourceManager, but found a localjob, found to do the following configuration does not take effect In fact, in YARN does

There are many types of Linux clocks, roughly divided into two categories: periodic clocks that provide interrupts (RTC, Pit, and so on) that provide a count of incremental clocks (such as TSC)Here is a brief list of several common.(1) RTC(2) TSC(3) Kvm_clock(4) ACPI_PMView current system-supported clocksCat/sys/devices/system/clocksource/clocksource0/available_clocksourceView the currently used clockCat/sy

. yum install cloudera-manager-server Yum install cloudera-manager-server Check what these two packages are installed. You can see that the server basically copies some configuration files. the real website management is installed through daemons. The specific files are under the/usr/share/cmf directory, and the logs are under the/var/log/cloudera-scm-server Directory, the runtime configuration file is in/var/run/cloudera-scm-server [root@bogon ~]# rpm -ql cloudera-manager-server

to determine whether the configuration is successful.Java-version 2.4.4 install the remaining MachineGo through the above process. 2.5 service port conventions:Port Function9000 fs. defaultFS, such as: hdfs: // 172.25.40.171: 90009001 dfs. namenode. rpc-address, DataNode will connect to this port50070 dfs. namenode. http-address50470 dfs. namenode. https-address50100 dfs. namenode. backup. address50105 dfs. namenode. backup. http-address50090 dfs. namenode. secondary. http-address, for example,

KBphysical id : 0siblings : 4core id : 0cpu cores : 2apicid : 0initial apicid : 0fpu : yesfpu_exception : yescpuid level : 13wp : yesflags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 cx16 xtpr pdcm pcid sse4_1 sse4_2 po

/* * Initialize theStackprotector Canary value. * * Note:this must only be called fromFunctions thatNeverreturn, * and itMust always be inlined. */static __always_inline void boot_init_stack_canary (void) {U64 canary; U64 TSC;#ifdef config_x86_64BUILD_BUG_ON (Offsetof (Union irq_stack_union, stack_canary)! = +);#endif/* * We both use theRandom Pool and theCurrent TSC asA source * ofRandomness. The

@ server ~] # Cat/proc/cpuinfo | grep "processor" | wc-l 4. Enable hyper-threading: [root @ server ~] # Cat/proc/cpuinfo | grep-e "cpu cores"-e "siblings" | sort | uniq cpu cores : 4siblings : 4 Assume that cpu cores = siblings indicates that it is not enabled. processor : 0vendor_id　　: GenuineIntelcpu famil　　: 6model　　　　 : 15model name　 : Intel(R) Xeon(R) CPU X5355 @ 2.66GHzstepping　　 : 7cpu MHz　　　: 2666.766cache size　: 4096 KBphysical id : 0siblings : 4core id　　 : 0

To view CPU information:[Email protected] ~]# Cat/proc/cpuinfo processor:0 Vendor_id:genuineintel CPU family:6 model:45 Model Name:intel (R) Xeon (r) CPU E5-2 690 0 @ 2.90GHz stepping:2 CPU mhz:2900.000 Cache size:20480 KB Physical id:0 Siblings:4 Core id:0 CPU cores:4 apicid:0 Initial apicid:0 Fpu:yes Fpu_exception:yes cpuid level:13 WP : Yes Flags:fpu vme de PSE TSC MSR PAE MCE cx8 APIC MTRR PGE MCA cmov Pat PSE36 clflush DTS MMX

NPM rebuild Node-sass (reference: http://www.cnblogs.com/niepeishen/p/5762162.html) 4 Compile typescript with Gulp Here we need to use the Gulp-typescript plug-in, the definition gulpfile.js roughly as follows: var gulp = require (' gulp '); var ts = require (' Gulp-typescript '); Gulp.task (' TSC ', function () { gulp.src (' app/**/*.ts ') . PIPE (TS ()) . Pipe (Gulp.dest (' Wwwroot/app ')); In order to achieve the function of

......... ................. SUCCESS [9.395 S][INFO] Apache Hadoop KMS ..... ..... .................. SUCCESS [12.661 S][INFO] Apache Hadoop Common Project ......... ........ SUCCESS [0.064 S][INFO] Apache Hadoop HDFS ......... ................ SUCCESS [02:58 min][INFO] Apache Hadoop Httpfs ......... .............. SUCCESS [20.099 S][INFO] Apache Hadoop HDFS bookkeeper Journal ..... ..... SUCCESS [8.216 S][INFO] Apache Hadoop Hdfs-nfs ......... ............. SUCCESS [5.086 S][INFO] Apache Hadoop

HDFs Hadoop fs-mkdir/tmp$ sudo-u HDFs Hadoop fs-chmod-r 1777/tmp Create yarn and log directories The code is as follows Copy Code $ sudo-u HDFs Hadoop fs-mkdir/tmp/hadoop-yarn/staging$ sudo-u HDFs Hadoop fs-chmod-r 1777/tmp/hadoop-yarn/staging$ sudo-u HDFs Hadoop fs-mkdir/tmp/hadoop-yar