c++ difference from java
1. take charge of object management , negotiate ownershiop ,use scoped_ptr,
   not to transfer other's ownership
2. use c++ template to express seperation corncern ,such as (static)polymorphy and policy
3. disable copy constructor and assign operator by yourself
4. polymorphy by pointer
5. 使用 template ,macro 取得類似動態語言的能力
6. 偏好無狀態的 函數

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Myisam is preferred without transaction and little update(delete)

Big than 4G datafile can user Myisam merge table.

InnoDB with auto_increment primary key is preferred.

Few storage process

Guess: 20m records max per table , 500G data max per tablespace , 256 tables per database (may problem)

Use prepared statement and  batch

Optimize Your Queries For the Query Cache

// query cache does NOT work

$r = mysql_query("SELECT username FROM user WHERE signup_date >= CURDATE()");

// query cache works!

$today = date("Y-m-d");

$r = mysql_query("SELECT username FROM user WHERE signup_date >= '$today'");

EXPLAIN Your SELECT Queries

LIMIT 1 When Getting a Unique Row

Index and Use Same Column Types for Joins

Do Not ORDER BY RAND()

Avoid SELECT *

t is a good habit to always specify which columns you need when you are doing your SELECT’s.

Use ENUM over VARCHAR

Use NOT NULL If You Can

Store IP Addresses as UNSIGNED INT (?)

Fixed-length (Static) Tables are Faster

Vertical Partitioning

Vertical Partitioning is the act of splitting your table structure in a vertical manner for optimization reasons.

Example 1: You might have a users table that contains home addresses, that do not get read often. You can choose to split your table and store the address info on a separate table. This way your main users table will shrink in size. As you know, smaller tables perform faster.

Example 2: You have a “last_login” field in your table. It updates every time a user logs in to the website. But every update on a table causes the query cache for that table to be flushed. You can put that field into another table to keep updates to your users table to a minimum.

But you also need to make sure you don’t constantly need to join these 2 tables after the partitioning or you might actually suffer performance decline.

Split the Big DELETE or INSERT Queries

If you have some kind of maintenance script that needs to delete large numbers of rows, just use the LIMIT clause to do it in smaller batches to avoid this congestion.

Smaller Columns Are Faster

Use an Object Relational Mapper

f you do not need the time component, use DATE instead of DATETIME.

Consider horizontally spitting many-columned tables if they contain a lot of NULLs or rarely used columns.

Be an SQL programmer who thinks in sets, not procedural programming paradigms

InnoDB can’t optimize SELECT COUNT(*) queries. Use counter tables! That’s how to scale InnoDB.

Prefer MM with hive

refer :

http://blog.tuvinh.com/top-20-mysql-best-practices/

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從時序圖中可以看到，createNewIO()就是新建了一個com.mysql.jdbc.MysqlIO，利用 com.mysql.jdbc.StandardSocketFactory來創建一個socket。然后就由這個mySqlIO來與MySql服務器進行握手(doHandshake())，這個doHandshake主要用來初始化與Mysql server的連接，負責登陸服務器和處理連接錯誤。在其中會分析所連接的mysql server的版本，根據不同的版本以及是否使用SSL加密數據都有不同的處理方式，并把要傳輸給數據庫server的數據都放在一個叫做packet的 buffer中，調用send()方法往outputStream中寫入要發送的數據。


useServerPreparedStmts置為true的話，mysql驅動可以通過PreparedStatement的子類ServerPreparedStatement來實現真正的PreparedStatement的功能




第一位表示數據包的開始位置，就是數據存放的起始位置，一般都設置為0，就是從第一個位置開始。第二和第三個字節標識了這個數據包的大小，注意的是，這個大小是出去標識的4個字節的大小，對于非最后一個數據包來說，這個大小都是一樣的，就是splitSize，也就是maxThreeBytes，它的值是 255 * 255 * 255。
最后一個字節中存放的就是數據包的編號了，從0開始遞增。
在標識位設置完畢之后，就可以把255 * 255 * 255大小的數據從我們準備好的待發送數據包中copy出來了，注意，前4位已經是標識位了，所以應該從第五個位置開始copy數據

 # packetToSend = compressPacket(headerPacket, HEADER_LENGTH,    
#                 splitSize, HEADER_LENGTH); 

LoadBalancingConnectionProxy
package java.lang.reflect 。 proxy .


http://developer.51cto.com/art/200907/137823.htm

http://dev.mysql.com/doc/refman/5.1/en/connector-j-reference-implementation-notes.html

PreparedStatements are implemented by the driver, as MySQL does not have a prepared statement feature. Because of this, the driver does not implement getParameterMetaData() or getMetaData() as it would require the driver to have a complete SQL parser in the client.

Starting with version 3.1.0 MySQL Connector/J, server-side prepared statements and binary-encoded result sets are used when the server supports them.

但這是不是說PreparedStatement沒用呢？不是的，PreparedStatement有其他的好處：
1.代碼的可讀性和可維護性
2.最重要的一點是極大地提高了安全性，可以防止SQL注入

然后我又看了一些網上其他人的經驗，基本和我的判斷一致，有兩點要特別提請大家注意：

1.并不是說PreparedStatement在所有的DB上都不會提高效率，PreparedStatement需要服務器端的支持，比如在 Oracle上就會有顯著效果。上面說的測試都是在MySQL上測試的，我找到了一個MySQL架構師的帖子，比較明確地說明了MySQL不支持 PreparedStatement。

2.即便PreparedStatement不能提高性能，在少數使用時甚至會降低效率，但仍然應該使用PreparedStatement！因為其他好 處實在是太大了！當然，當SQL查詢比較復雜時，可能PreparedStatement好處會更大，只是我沒有測試，不敢肯定。

3.既然PreparedStatement不能提高效率，那PreparedStatement Pool也就沒有必要了。但可以看到每次新建Connection的開銷實在很大，因此Connection Pool絕對必要。

download ,annatation and tools 兩個項目。
添加相關的 jar.

<taskdef name="hibernatetool" classname="org.hibernate.tool.ant.HibernateToolTask" classpathref="master.classpath" />

<target name="create_table">

<hibernatetool destdir="${script.dir}">
    <annotationconfiguration configurationfile="src/hibernate.cfg.xml" />
    <hbm2ddl export="false" create="true" delimiter=";" format="true" outputfilename="create-tables.sql" />
</hibernatetool>

</target>

<!DOCTYPE hibernate-configuration PUBLIC
    "-//Hibernate/Hibernate Configuration DTD 3.0//EN"
    "http://hibernate.sourceforge.net/hibernate-configuration-3.0.dtd">

<hibernate-configuration>
    <session-factory name="logi">
        <property name="show_sql">true</property>
        <mapping class="com.tt.logi.target.Target"/>
   
    </session-factory>
</hibernate-configuration>

import java.io.Serializable;

import javax.persistence.Basic;
import javax.persistence.Entity;
import javax.persistence.Id;

@Entity
public class Target implements Serializable{
   
    private Long id;
    private String name;
    @Id
    public Long getId() {
        return id;
    }
    public void setId(Long id) {
        this.id = id;
    }
    @Basic
    public String getName() {
        return name;
    }
    public void setName(String name) {
        this.name = name;
    }
   
   
   

wget ftp://ftp.jaist.ac.jp/pub/mysql/Downloads/MySQL-5.1/mysql-5.1.41.tar.gz
tar -xzf



./configure --prefix=/usr/local/mysql51m --without-debug  --enable-local-infile --enable-assembler --enable-thread-safe-client --with-plugins=all

make
su -
make install


groupadd mysql
useradd -g mysql mysql


bin/mysql_install_db --user=mysql  --datadir=/var/lib/mysql51m/data

chown -R mysql /var/lib/mysql51m/
chgrp -R mysql /var/lib/mysql51m/


cp share/mysql/my-innodb-heavy-4G.cnf my.cnf
vi my.cnf

datadir = /var/lib/mysql51m/data

.bin/mysqld_safe --defaults-file=/usr/local/mysql51m/my.cnf &

bin/mysql  --defaults-file=my.cnf -uroot

./mysqladmin -u root password ‘humber’
grant all on *.* to root@% identified by 'humber'

default-character-set=utf8
init_connect='SET NAMES utf8'
default-storage-engine = INNODB

jmap -heap 16761
jstat -gcutil 16761
jmap -finalizerinfo 16761
jmap -histo 16761
jstack -l 16761
jinfo 16761

Examine the fatal error log file. Default file name is hs_err_pidpid.log in the working-directory.

-XX:+HeapDumpOnOutOfMemoryError
java -agentlib:hprof=heap=dump,format=b application
$ jmap -dump:format=b,file=snapshot.jmap process-pid

1、在jvm啟動時加上：-agentlib:hprof=heap=sites,file=heap.txt  ，然后執行一段時間后執行 kill -3 <pid>，就可以獲取jvm的內存鏡像。類似的通過-agentlib:hprof=cpu=samples,file=cpu.txt查 看cpu的狀況。

http://java.sun.com/javase/6/webnotes/trouble/other/matrix6-Unix.html

Quick Troubleshooting Tips on Solaris OS and Linux for Java SE 6

This "Quick Start Guide" gives you some quick tips for troubleshooting. The subsections list some typical functions that can help you in troubleshooting, including one or more ways to get the information or perform the action.

These tips are organized as follows:

Hung, Deadlocked, or Looping Process
Post-mortem Diagnostics, Memory Leaks
Monitoring
Actions on a Remote Debug Server
Other Functions

Hung, Deadlocked, or Looping Process

• Print thread stack for all Java threads:
  • Control-"
  • kill -QUIT pid
  • jstack pid (or jstack -F pid if jstack pid does not respond)
• Detect deadlocks:
  • Request deadlock detection: JConsole tool, Threads tab
  • Print information on deadlocked threads: Control-"
  • Print list of concurrent locks owned by each thread: -XX:+PrintConcurrentLocks set, then Control-"
  • Print lock information for a process: jstack -l pid
• Get a heap histogram for a process:
  • Start Java process with -XX:+PrintClassHistogram, then Control-"
  • jmap -histo pid (with -F option if pid does not respond)
• Dump Java heap for a process in binary format to file:
  • jmap -dump:format=b,file=filename pid (with -F option if pid does not respond)
• Print shared object mappings for a process:
  • jmap pid
• Print heap summary for a process:
  • Control-"
  • jmap -heap pid
• Print finalization information for a process:
  • jmap -finalizerinfo pid
• Attach the command-line debugger to a process:
  • jdb -connect sun.jvm.hotspot.jdi.SAPIDAttachingConnector:pid=pid

Post-mortem Diagnostics, Memory Leaks

• Examine the fatal error log file. Default file name is hs_err_pidpid.log in the working-directory.
• Create a heap dump:
  • Start the application with HPROF enabled: java -agentlib:hprof=file=file,format=b application; then Control-"
  • Start the application with HPROF enabled: java -agentlib:hprof=heap=dump application
  • JConsole tool, MBeans tab
  • Start VM with -XX:+HeapDumpOnOutOfMemoryError; if OutOfMemoryError is thrown, VM generates a heap dump.
• Browse Java heap dump:
  • jhat heap-dump-file
• Dump Java heap from core file in binary format to a file:
  • jmap -dump:format=b,file=filename corefile
• Get a heap histogram for a process:
  • Start Java process with -XX:+PrintClassHistogram, then Control-"
  • jmap -histo pid (with -F option if pid does not respond)
• Get a heap histogram from a core file:
  • jmap -histo corefile
• Print shared object mappings from a core file:
  • jmap corefile
• Print heap summary from a core file:
  • jmap -heap corefile
• Print finalization information from a core file:
  • jmap -finalizerinfo corefile
• Print Java configuration information from a core file:
  • jinfo corefile
• Print thread trace from a core file:
  • jstack corefile
• Print lock information from a core file:
  • jstack -l corefile
• Attach the command-line debugger to a core file on the same machine:
  • jdb -connect sun.jvm.hotspot.jdi.SACoreAttachingConnector:javaExecutable=path,core=corefile
• Attach the command-line debugger to a core file on a different machine:
  • On the machine with the core file: jsadebugd path corefile
    and on the machine with the debugger: jdb -connect sun.jvm.hotspot.jdi.SADebugServerAttachingConnector:debugServerName=machine
• libumem can be used to debug memory leaks.

Monitoring

Note: The vmID argument for the jstat command is the virtual machine identifier. See the jstat man page for a detailed explanation.

• Print statistics on the class loader:
  • jstat -class vmID
• Print statistics on the compiler:
  • Compiler behavior: jstat -compiler vmID
  • Compilation method statistics: jstat -printcompilation vmID
• Print statistics on garbage collection:
  • Summary of statistics: jstat -gcutil vmID
  • Summary of statistics, with causes: jstat -gccause vmID
  • Behavior of the gc heap: jstat -gc vmID
  • Capacities of all the generations: jstat -gccapacity vmID
  • Behavior of the new generation: jstat -gcnew vmID
  • Capacity of the new generation: jstat -gcnewcapacity vmID
  • Behavior of the old and permanent generations: jstat -gcold vmID
  • Capacity of the old generation: jstat -gcoldcapacity vmID
  • Capacity of the permanent generation: jstat -gcpermcapacity vmID
• Monitor objects awaiting finalization:
  • JConsole tool, VM Summary tab
  • jmap -finalizerinfo pid
  • getObjectPendingFinalizationCount method in java.lang.management.MemoryMXBean class
• Monitor memory:
  • Heap allocation profiles via HPROF: java -agentlib:hprof=heap=sites
  • JConsole tool, Memory tab
  • Control-" prints generation information.
• Monitor CPU usage:
  • By thread stack: java -agentlib:hprof=cpu=samples application
  • By method: java -agentlib:hprof=cpu=times application
  • JConsole tool, Overview and VM Summary tabs
• Monitor thread activity:
  • JConsole tool, Threads tab
• Monitor class activity:
  • JConsole tool, Classes tab

Actions on a Remote Debug Server

First, attach the debug daemon jsadebugd, then execute the command:

• Dump Java heap in binary format to a file: jmap -dump:format=b,file=filename hostID
• Print shared object mappings: jmap hostID
• Print heap summary : jmap -heap hostID
• Print finalization information : jmap -finalizerinfo hostID
• Print lock information : jstack -l hostID
• Print thread trace : jstack hostID
• Print Java configuration information: jinfo hostID

Other Functions

• Interface with the instrumented Java virtual machines:
  • Monitor for the creation and termination of instrumented VMs: jstatd daemon
  • List the instrumented VMs: jps
  • Provide interface between remote monitoring tools and local VMs: jstatd daemon
  • Request garbage collection: JConsole tool, Memory tab
• Print Java configuration information from a running process:
  • jinfo pid
• Dynamically set, unset, or change the value of certain Java VM flags for a process:
  • jinfo -flag flag
• Print command-line flags passed to the VM:
  • jinfo -flags
• Print Java system properties:
  • jinfo -sysprops
• Pass a Java VM flag to the virtual machine:
  • jconsole -Jflag ...
  • jhat -Jflag ...
  • jmap -Jflag ...
• Print statistics of permanent generation of Java heap, by class loader:
  • jmap -permstat
• Report on monitor contention.
  • java -agentlib:hprof=monitor=y application
• Evaluate or execute a script in interactive or batch mode:
  • jrunscript
• Interface dynamically with an MBean, via JConsole tool, MBean tab:
  • Show tree structure.
  • Set an attribute value.
  • Invoke an operation.
  • Subscribe to notification.
• Run interactive command-line debugger:
  • Launch a new VM for the class: jdb class
  • Attach debugger to a running VM: jdb -attach address
  http://www.tkk7.com/justinchen/archive/2009/01/08/248738.html

netstat -n | awk '/^tcp/ {++state[$NF]} END {for(key in state) print key,""t",state[key]}'

set nocompatible
set autoindent
set smartindent
set ignorecase
syntax enable
set wrap
set showmatch
set foldmarker={{{,}}}
set tabstop=4
set shiftwidth=4
set ruler
set expandtab
set backspace=eol,start,indent
set whichwrap+=<,>,h,l
set nobackup
setlocal noswapfile
set bufhidden=hide
syntax on
set tags=./tags,~/apsara/tags
set path+=/usr/include/c++/**,~/apsara/include/**
filetype plugin on
filetype indent on
autocmd filetype java,c,cpp setlocal textwidth=100
set pastetoggle=<F7>

nmap <F2>  :set nonumber!<CR>
nmap <F8>  :TlistToggle<CR>
imap <F11> <C-x><C-p>
map <F12>  :!ctags -R --c++-kinds=+p --fields=+iaS --exclude=build --extra=+q .<CR>
map <F6> :w<CR>
imap <F6> <ESC>:w<CR>a
map <F3> /<C-R><C-W><CR>

有 c support 支持，很棒。

1. 
   避免對shared_ptr所管理的對象的直接內存管理操作，以免造成該對象的重釋放
   shared_ptr并不能對循環引用的對象內存自動管理（這點是其它各種引用計數管理內存方式的通病）。
2. 
   不要構造一個臨時的shared_ptr作為函數的參數。
   如下列代碼則可能導致內存泄漏：
   void test()
   {
       foo(boost::shared_ptr<implementation>(new    implementation()),g());
   }
   正確的用法為：
   void test()
   {
       boost::shared_ptr<implementation> sp    (new implementation());
       foo(sp,g());
   }

3. Employee boss("Morris, Melinda", 83000);

   Employee* s = &boss;

   This is usually not a good idea. As a rule of thumb, C++ pointers should only refer to objects allocated wth new.

copy:http://www.diybl.com/course/3_program/c++/cppjs/20090403/163770.html

抄錄備忘：
其實沒有.h也能很好的工作,但是當你發現一個外部鏈接的函數或外部變量,需要許多份

聲明,因為c++這種語言,在使用函數和變量的時候,必須將他聲明,為何要聲明?聲明之后才

知道他的規格,才能更好的發現不和規格的部分.你別妄想一個編譯單元,會自動從另一個

編譯單元那里得到什么信息,知道你是如何定義這個函數的.

    所以說,只要使用到該函數的單元,就必須寫一份聲明在那個.cpp里面,這樣是不是很麻煩,

而且,如果要修改,就必須一個一個修改.這真讓人受不了.

.h就是為了解決這個問題而誕生,他包含了這些公共的東西.然后所有需要使用該函數的.cpp,只需要

用#include包含進去便可.以后需要修改,也只是修改一份內容.

請注意不要濫用.h,.h里面不要寫代碼,.h不是.cpp的倉庫,什么都塞到里面.

如果在里面寫代碼,當其他.cpp包含他的時候,就會出現重復定義的情況,

比如將函數func(){printf}；放到頭文件a.h,里面還有一些a.cpp需要的聲明等；

然后你發現b.cpp需要用到a.cpp里面的一個函數,就很高興的將a.h包含進來.

注意,#include并不是什么申請指令,他就是將指定的文件的內容,原封不動的拷貝

進來.

這時候實際上a.cpp和b.cpp都有一個func()函數的定義.

如果這個函數是內部鏈接static的話,還好,浪費了一倍空間；

如果是extern,外部鏈接(這個是默認情況),那么根據在同一個程序內不可出現

同名函數的要求,連接器會毫不留情給你一個連接錯誤!

http://www.cnblogs.com/shelvenn/archive/2008/02/02/1062446.html