gigabyte vs megabyte

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Table space extension with bare Devices

: datavg09Lv identifier: 0037de1d4154c0000000105cd3b6816. 11 PERMISSION: read/writeVg state: active/complete lv state: opened/syncdTYPE: raw write verify: offMAX LPs: 512 pp size: 64 megabyte (s)COPIES: 1 sched policy: parallelLPs: 64 PPs: 64STALE PPs: 0 bb policy: relocatableINTER-POLICY: minimum RELOCATABLE: yesINTRA-POLICY: middle upper bound: 32.Mount point: N/a label: NoneMirror write consistency: on/ACTIVEEach lp copy on a separate pv? : YesWe c

Aix5.3 use bare devices to install oracle10g in the system -- 4 K offset problem

matter how you use the command to create the lv, it is an extended DS_LVZ type LV.From the warning log of Oracle, we can see that when Oracle uses raw devices, it is recommended to set a lv without 4 K. AIX calls this 4 K offset lvcb (logical volume control block), which occupies the first 512 bytes of 4 K. It is similar to the Oracle data file header and retains the creation time of lv, image copy information and file system mount points. Check whether the lv has a 4 K offset in two ways.1. Ho

Hadoop---wordcount command

successfully16/04/11 22:31:34 INFO MapReduce. job:counters:49File System CountersFile:number of bytes read=67File:number of bytes written=290851File:number of Read operations=0File:number of Large Read operations=0File:number of Write Operations=0Hdfs:number of bytes read=237Hdfs:number of bytes Written=25Hdfs:number of Read operations=9Hdfs:number of Large Read operations=0Hdfs:number of Write operations=2Job CountersLaunched Map tasks=2launched reduce Tasks=1Data-local Map tasks=2Total time s

How Hadoop runs Mahout problem resolution

job_1417519292729_0030 running in Uber mode:false14/12/0600:10:43 INFO MapReduce. Job:map 0% reduce 0%14/12/0600:10:49 INFO mapreduce. Job:map 100% reduce 0%14/12/0600:10:56 INFO mapreduce. Job:map 100% reduce 100%14/12/0600:10:56 INFO MapReduce. Job:job job_1417519292729_0030 completed successfully14/12/0600:10:56 INFO mapreduce. Job:counters:49filesystemcountersfile:number of bytes Read=54file:number of bytes Written=182573file:number of Read Operations=0file:number of large read operations=0

Use bare devices to expand database tablespaces

the following figure, 13 logical volumes (raw devices) in the volume group are not used. (if no logical volumes in the closed/syncd status are displayed, go to step 1) but how can we know how large these 13 logical volumes are? You can use the following command: # Lslv lvdata0315 Logical volume: lvdata0309 volume group: datavg09 LV identifier: 0037de1d4154c0000000105cd3b6816. 11 permission: read/write VG state: active/complete LV state: Opened/syncd Type: Raw write verify: Off Max LPS: 512 pp s

JVM Series three: JVM parameter settings, analysis

, can improve efficiency. If you set this value to a larger value, the younger generation object will replicate multiple times in the Survivor area, which increases the lifetime of the object's younger generations, increasing the probability of being recycled in the younger generation. This parameter is valid only when the serial GC is in effect. -xx:+aggressiveopts faster compilation Performance improvement of-xx:+usebiasedlocking lock mechanism -XNOCLASSGC Disabling garbage collection

The. NET framework comes with a file memory mapping class

on an existing file on disk.1 using System;2 using System.IO;3 using System.IO.MemoryMappedFiles;4 using System.Runtime.InteropServices;56 Class Program7 {8 static void Main (string[] args)9 {Ten long offset = 0x10000000; MegabytesOne long length = 0x20000000; Megabytes12//Create the memory-mapped file.using (var mmf = Memorymappedfile.createfromfile (@ "C:\ExtremelyLargeImage.data", FileMode.Open, "ImgA")15 {+//Create a random access view, from the 256th m

Eclipse commits a MapReduce task to a Hadoop cluster remotely

Dfs:number of bytes Written=15671hdfs:number of read Operations=6hdfs:number of large read operations=0hdfs:number of Write Operations=2job Counters launched map tasks=1launched reduce tasks=1data-local map tasks=1total time spent by all MA PS in occupied slots (ms) =9860total time spent by all reduces in occupied slots (ms) =2053total time spent by all map tasks (ms) =2465total time spent by all reduce tasks (ms) =2053total Vcore-seconds taken by all map Tasks=2465total vcore-seconds Taken b

Internet101-1-Wires, Cables & WiFi (wire, cable &wifi)

content source : khanacademy-internet101-wires, cables, and WiFi(the original video and subtitles in English, the following Chinese content for personal understanding after the translation, for reference only)1. Related nouns :High trafficHigh FlowFibre-opticFiberAntennaAntennaSphericalSphere of    Bandwidth BandwidthTransmission capacity, measured by bitrate transmission capacity, measured in bitrate  bitrate ratio/bit rate/bitrateThe number of bits per second a system can transmit one bit per

Algorithms used in the development of virtual currency bulb, bit (bits) and bytes (bytes)

, which takes any input, can produce a specific size output. The process of using a hash function and then producing some data, which we call hashing (hashing) or transliteration as a hashing method. And the output of the hash function, we call it a hash (hash). The basic characteristic of a particular hash function is the size of its output. For example in this article, we use a hash function that outputs output as a zero bits (32 bytes). Of course there are hash functions that produce smaller

Hadoop2.4.1 Getting Started example: maxtemperature

. Job:map 100% Reduce 100%14/07/09 14:51:15 INFO MapReduce. Job:job JOB_1404888618764_0001 completed successfully14/07/09 14:51:16 INFO MapReduce. job:counters:49File System CountersFile:number of bytes read=94File:number of bytes written=185387File:number of Read operations=0File:number of Large Read operations=0File:number of Write Operations=0Hdfs:number of bytes read=1051Hdfs:number of bytes written=43Hdfs:number of Read operations=6Hdfs:number of Large Read operations=0Hdfs:number of Write

Page and District SQL Server

Tags: http io ar os using SP strong on fileOriginal address: Http://msdn.microsoft.com/zh-cn/library/ms190969.aspxThe basic unit of data storage in SQL Server is the page. The disk space allocated for the data file (. mdf or. ndf) in the database can be logically divided into pages (numbered 0 through n consecutively). Disk I/O operations are performed at the page level. In other words, SQL Server reads or writes all data pages. A zone is a collection of eight physically contiguous pages that ar

Oracle multitenant Environment (v) Create PDB

38-1, "STORAGE Clause that specifies STORAGE Limits" Example 38-2, "STORAGE Clause, specifies STORAGE Limits for the gkfx temporary tablespace only" Example 38-3, "STORAGE Clause that specifies Unlimited STORAGE" Example 38-1 STORAGE Clause that specifies STORAGE LimitsThis clause specifies, the storage used by all tablespaces, belong to the STORAGE PDB must not exceed 2 gigabytes. I T also specifies that the storage used by the PDB sessions in the GKFX temporary tablespace must no

HDFs zip file (-cachearchive) for Hadoop mapreduce development Practice

of bytes written=66 4972 File:numberof read operations=0 File:number of large read operations=0 File:number of write operations=0 HDFS: Number of bytes read=636501 hdfs:number of bytes written=68 hdfs:number of Read operations=9 HDFS: Number of large read operations=0 Hdfs:number of write operations=2 Job Counters launched map tasks=2 Launched reduce Tasks=1 data-local map tasks=2 Total time spent by all maps in occupied slots (ms) =12 584 total time spent by all reduces in occu

JSON. Net learning notes (4) Reading and Writing of JSON objects

To manually read and write JSON objects, JSON. NET provides two abstract classes, jsonreader and jsonwriter, and their corresponding Derived classes: 1. jsontextreader and jsontextwriter Jsontextwriter is used to read and write the text of a json object. It has a large number of settings to control the JSON object format. Test: // Write operation stringbuilder sb = new stringbuilder (); stringwriter Sw = new stringwriter (SB); using (jsonwriter = new jsontextwriter (SW) { Jsonwriter.

Required series of PC hardware knowledge-Radiator

simple, look at the Fan Power Supply interface on the line-4 pin table support. (Unless it is a false four-wire, the two boxes are all four-wire, but it is not temperature controlled, pay attention to the distinction; then it is the motherboard of the gigabyte am3 interface, 760, 780, 770,880 and so on all am3 interface gigabyte motherboard, even if the fan is 3 P, still support speed control. It has a tem

Laptop brand Overview

General brand: Lenovo) ASUS) HP) Acer Lenovo ThinkPad Dell) Toshiba (Toshiba) Tsinghua Tongfang Founder (Founder) Samsung) Sony) Shenzhou Haier (Haier) Apple) Fujitsu) Hedy (Qixi) Alienware Msi MSI BenQ (BenQ) Great Wall (great wall) Xinlan Delux (colorful) Panasonic (Panasonic) Viewsonic (youpai) LG Gigabyte (gigabyte) Thu

Computer boot shortcut key, boot shortcut key

Computer boot shortcut key, boot shortcut key Assembly Board Brand notebook Branded desktops Main Board brand Start button Notebook brand Start button Desktop brand Start button Asus Motherboard F8 Lenovo notebook F12 Lenovo Desktop F12 Gigabyte Motherboard F12 Acer notebook F12 HP Desktop F12 Msi Motherboard F11 Asus Notebook

Computer boot shortcut

Computer boot shortcut Assembly Board Brand notebook Branded desktops Main Board brand Start button Notebook brand Start button Desktop brand Start button Asus Motherboard F8 Lenovo notebook F12 Lenovo Desktop F12 Gigabyte Motherboard F12 Acer notebook F12 HP Desktop F12 Msi Motherboard F11 Asus Notebook ESC Acer Desktop

C # manipulating JSON data using Newtonsoft.json

A read example provided by an open source projectusingSystem;usingSystem.Collections.Generic;usingSystem.IO;usingSystem.Linq;usingSystem.Text;namespacenewtonsoft.json.tests.documentation.samples.json{ Public classReadjsonwithjsontextreader { Public voidExample () {#regionUsagestringJSON =@"{' CPU ': ' Intel ', ' PSU ': ' 500W ', ' Drives ': [' DVD read/writer '/* * (broken) * /, ' gigabyte hard drive ', ' $ gigabype hard drive '}"; JsonTextReader Read

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