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• pass reference of array lists to a function

  - by bhavna raghuvanshi

  I need to pass two array list references to a function and return the reference of merged array list. how can i do it???? pls help.... public int merge(ArrayList x, ArrayList y) { List all = new ArrayList(); all.addAll(x); all.addAll(y); System.out.println(all); return all; } is it correct???

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• Alternatives to persisting objects than using __destruct() in PHP

  - by Michael

  I usually use a classes destructor method __destruct() to persist objects to session or what have you. It is just very convinient, but I'm curious to if there are any other methods that are equally appealing. Do you know of such? The curiousity arose as I was to merge/utilize two frameworks that both made use of __destruct() for persistance resulting in a race-problem.

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• Sample code for Anymote in C++ version?

  - by summerdog

  Does anyone can tell me where to find the resource just like the following link ? (But I hope this is for C++ !!) https://code.google.com/p/googletv-android-samples/source/browse/#git%2FAnymoteLibrary%2Fsrc%2Fcom%2Fexample%2Fgoogle%2Ftv%2Fanymotelibrary%2Fclient There is a dynamic library : http://code.google.com/p/google-tv-chrome-extensions/source/browse/AnymoteExample/?r=2048c59701bab6386f7ea8011e4ca342fb1f133a#AnymoteExample%2Fplugins%2Fgtvremote_AnymoteExample.plugin%2FContents%2FMacOS Unfortunately, the arch of this library is i386. I want to build this project for the other platform. Orz Thanks.

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• Rails date format in form field

  - by Jack

  Hello I'd like my dates in the mm/dd/year format in text fields. However, they currently displays as 2010-03-26. Is there a global setting I can set to change this? I tried the following, which seems to update the .to_s method, but form fields stay the same. ActiveSupport::CoreExtensions::Date::Conversions::DATE_FORMATS.merge!(:default => '%m/%d/%Y') Thanks

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• Capistrano asks for SSH password when deploying from local machine to server

  - by GhostRider

  When I try to ssh to a server, I'm able to do it as my id_rsa.pub key is added to the authorized keys in the server. Now when I try to deploy my code via Capistrano to the server from my local project folder, the server asks for a password. I'm unable to understand what could be the issue if I'm able to ssh and unable to deploy to the same server. $ cap deploy:setup "no seed data" triggering start callbacks for `deploy:setup' * 13:42:18 == Currently executing `multistage:ensure' *** Defaulting to `development' * 13:42:18 == Currently executing `development' * 13:42:18 == Currently executing `deploy:setup' triggering before callbacks for `deploy:setup' * 13:42:18 == Currently executing `db:configure_mongoid' * executing "mkdir -p /home/deploy/apps/development/flyingbird/shared/config" servers: ["dev1.noob.com", "176.9.24.217"] Password: Cap script: # gem install capistrano capistrano-ext capistrano_colors begin; require 'capistrano_colors'; rescue LoadError; end require "bundler/capistrano" # RVM bootstrap # $:.unshift(File.expand_path('./lib', ENV['rvm_path'])) require 'rvm/capistrano' set :rvm_ruby_string, 'ruby-1.9.2-p290' set :rvm_type, :user # or :user # Application setup default_run_options[:pty] = true # allow pseudo-terminals ssh_options[:forward_agent] = true # forward SSH keys (this will use your SSH key to get the code from git repository) ssh_options[:port] = 22 set :ip, "dev1.noob.com" set :application, "flyingbird" set :repository, "repo-path" set :scm, :git set :branch, fetch(:branch, "master") set :deploy_via, :remote_cache set :rails_env, "production" set :use_sudo, false set :scm_username, "user" set :user, "user1" set(:database_username) { application } set(:production_database) { application + "_production" } set(:staging_database) { application + "_staging" } set(:development_database) { application + "_development" } role :web, ip # Your HTTP server, Apache/etc role :app, ip # This may be the same as your `Web` server role :db, ip, :primary => true # This is where Rails migrations will run # Use multi-staging require "capistrano/ext/multistage" set :stages, ["development", "staging", "production"] set :default_stage, rails_env before "deploy:setup", "db:configure_mongoid" # Uncomment if you use any of these databases after "deploy:update_code", "db:symlink_mongoid" after "deploy:update_code", "uploads:configure_shared" after "uploads:configure_shared", "uploads:symlink" after 'deploy:update_code', 'bundler:symlink_bundled_gems' after 'deploy:update_code', 'bundler:install' after "deploy:update_code", "rvm:trust_rvmrc" # Use this to update crontab if you use 'whenever' gem # after "deploy:symlink", "deploy:update_crontab" if ARGV.include?("seed_data") after "deploy", "db:seed" else p "no seed data" end #Custom tasks to handle resque and redis restart before "deploy", "deploy:stop_workers" after "deploy", "deploy:restart_redis" after "deploy", "deploy:start_workers" after "deploy", "deploy:cleanup" 'Create symlink for public uploads' namespace :uploads do task :symlink do run <<-CMD rm -rf #{release_path}/public/uploads && mkdir -p #{release_path}/public && ln -nfs #{shared_path}/public/uploads #{release_path}/public/uploads CMD end task :configure_shared do run "mkdir -p #{shared_path}/public" run "mkdir -p #{shared_path}/public/uploads" end end namespace :rvm do desc 'Trust rvmrc file' task :trust_rvmrc do run "rvm rvmrc trust #{current_release}" end end namespace :db do desc "Create mongoid.yml in shared path" task :configure_mongoid do db_config = <<-EOF defaults: &defaults host: localhost production: <<: *defaults database: #{production_database} staging: <<: *defaults database: #{staging_database} EOF run "mkdir -p #{shared_path}/config" put db_config, "#{shared_path}/config/mongoid.yml" end desc "Make symlink for mongoid.yml" task :symlink_mongoid do run "ln -nfs #{shared_path}/config/mongoid.yml #{release_path}/config/mongoid.yml" end desc "Fill the database with seed data" task :seed do run "cd #{current_path}; RAILS_ENV=#{default_stage} bundle exec rake db:seed" end end namespace :bundler do desc "Symlink bundled gems on each release" task :symlink_bundled_gems, :roles => :app do run "mkdir -p #{shared_path}/bundled_gems" run "ln -nfs #{shared_path}/bundled_gems #{release_path}/vendor/bundle" end desc "Install bundled gems " task :install, :roles => :app do run "cd #{release_path} && bundle install --deployment" end end namespace :deploy do task :start, :roles => :app do run "touch #{current_path}/tmp/restart.txt" end desc "Restart the app" task :restart, :roles => :app do run "touch #{current_path}/tmp/restart.txt" end desc "Start the workers" task :stop_workers do run "cd #{current_path}; RAILS_ENV=#{default_stage} bundle exec rake resque:stop_workers" end desc "Restart Redis server" task :restart_redis do "/etc/init.d/redis-server restart" end desc "Start the workers" task :start_workers do run "cd #{current_path}; RAILS_ENV=#{default_stage} bundle exec rake resque:start_workers" end end

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• How to setup linux permissions for the WWW folder?

  - by Xeoncross

  Updated Summery The /var/www directory is owned by root:root which means that no one can use it and it's entirely useless. Since we all want a web server that actually works (and no-one should be logging in as "root"), then we need to fix this. Only two entities need access. PHP/Perl/Ruby/Python all need access to the folders and files since they create many of them (i.e. /uploads/). These scripting languages should be running under nginx or apache (or even some other thing like FastCGI for PHP). The developers How do they get access? I know that someone, somewhere has done this before. With however-many billions of websites out there you would think that there would be more information on this topic. I know that 777 is full read/write/execute permission for owner/group/other. So this doesn't seem to be needed as it leaves random users full permissions. What permissions are need to be used on /var/www so that... Source control like git or svn Users in a group like "websites" (or even added to "www-data") Servers like apache or lighthttpd And PHP/Perl/Ruby can all read, create, and run files (and directories) there? If I'm correct, Ruby and PHP scripts are not "executed" directly - but passed to an interpreter. So there is no need for execute permission on files in /var/www...? Therefore, it seems like the correct permission would be chmod -R 1660 which would make all files shareable by these four entities all files non-executable by mistake block everyone else from the directory entirely set the permission mode to "sticky" for all future files Is this correct? Update: I just realized that files and directories might need different permissions - I was talking about files above so i'm not sure what the directory permissions would need to be. Update 2: The folder structure of /var/www changes drastically as one of the four entities above are always adding (and sometimes removing) folders and sub folders many levels deep. They also create and remove files that the other 3 entities might need read/write access to. Therefore, the permissions need to do the four things above for both files and directories. Since non of them should need execute permission (see question about ruby/php above) I would assume that rw-rw-r-- permission would be all that is needed and completely safe since these four entities are run by trusted personal (see #2) and all other users on the system only have read access. Update 3: This is for personal development machines and private company servers. No random "web customers" like a shared host. Update 4: This article by slicehost seems to be the best at explaining what is needed to setup permissions for your www folder. However, I'm not sure what user or group apache/nginx with PHP OR svn/git run as and how to change them. Update 5: I have (I think) finally found a way to get this all to work (answer below). However, I don't know if this is the correct and SECURE way to do this. Therefore I have started a bounty. The person that has the best method of securing and managing the www directory wins.

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• vim-powerline colors are out of whack in urxvt

  - by komidore64

  I have attached two images showing what my vim-powerline looks like. As you can see, something has happened to the colors and I cannot figure out how to fix it. I'm running Fedora 17 on a clean install with i3 (default config) and urxvt. Here is my bashrc: # .bashrc if [[ "$(uname)" != "Darwin" ]]; then # non mac os x # source global bashrc if [[ -f "/etc/bashrc" ]]; then . /etc/bashrc fi export TERM='xterm-256color' # probably shouldn't do this fi # bash prompt with colors # [ <user>@<hostname> <working directory> {current git branch (if you're in a repo)} ] # ==> PS1="\[\e[1;33m\][ \u\[\e[1;37m\]@\[\e[1;32m\]\h\[\e[1;33m\] \W\$(git branch 2> /dev/null | grep -e '\* ' | sed 's/^..\(.*\)/ {\[\e[1;36m\]\1\[\e[1;33m\]}/') ]\[\e[0m\]\n==> " # execute only in Mac OS X if [[ "$(uname)" == 'Darwin' ]]; then # if OS X has a $HOME/bin folder, then add it to PATH if [[ -d "$HOME/bin" ]]; then export PATH="$PATH:$HOME/bin" fi alias ls='ls -G' # ls with colors fi alias ll='ls -lah' # long listing of all files with human readable file sizes alias tree='tree -C' # turns on coloring for tree command alias mkdir='mkdir -p' # create parent directories as needed alias vim='vim -p' # if more than one file, open files in tabs export EDITOR='vim' # super-secret work stuff if [[ -f "$HOME/.workbashrc" ]]; then . $HOME/.workbashrc fi # Add RVM to PATH for scripting if [[ -d "$HOME/.rvm/bin" ]]; then # if installed PATH=$PATH:$HOME/.rvm/bin fi and my Xdefaults: ! URxvt config ! colors! URxvt.background: #101010 URxvt.foreground: #ededed URxvt.cursorColor: #666666 URxvt.color0: #2E3436 URxvt.color8: #555753 URxvt.color1: #993C3C URxvt.color9: #BF4141 URxvt.color2: #3C993C URxvt.color10: #41BF41 URxvt.color3: #99993C URxvt.color11: #BFBF41 URxvt.color4: #3C6199 URxvt.color12: #4174FB URxvt.color5: #993C99 URxvt.color13: #BF41BF URxvt.color6: #3C9999 URxvt.color14: #41BFBF URxvt.color7: #D3D7CF URxvt.color15: #E3E3E3 ! options URxvt*loginShell: true URxvt*font: xft:DejaVu Sans Mono for Powerline:antialias=true:size=12 URxvt*saveLines: 8192 URxvt*scrollstyle: plain URxvt*scrollBar_right: true URxvt*scrollTtyOutput: true URxvt*scrollTtyKeypress: true URxvt*urlLauncher: google-chrome and finally my vimrc set nocompatible set dir=~/.vim/ " set one place for vim swap files " vundler for vim plugins ---- filetype off set rtp+=~/.vim/bundle/vundle call vundle#rc() Bundle 'gmarik/vundle' Bundle 'tpope/vim-surround' Bundle 'greyblake/vim-preview' Bundle 'Lokaltog/vim-powerline' Bundle 'tpope/vim-endwise' Bundle 'kien/ctrlp.vim' " ---------------------------- syntax enable filetype plugin indent on " Powerline ------------------ set noshowmode set laststatus=2 let g:Powerline_symbols = 'fancy' " show fancy symbols (requires patched font) set encoding=utf-8 " ---------------------------- " ctrlp ---------------------- let g:ctrlp_open_multiple_files = 'tj' " open multiple files in additional tabs let g:ctrlp_show_hidden = 1 " include dotfiles and dotdirs in ctrlp indexing let g:ctrlp_prompt_mappings = { \ 'AcceptSelection("e")': ['<c-t>'], \ 'AcceptSelection("t")': ['<cr>', '<2-LeftMouse>'], \ } " remap <cr> to open file in a new tab " ---------------------------- set showcmd set tabpagemax=100 set hlsearch set incsearch set nowrapscan set ignorecase set smartcase set ruler set tabstop=4 set shiftwidth=4 set expandtab set wildmode=list:longest autocmd BufWritePre * :%s/\s\+$//e "remove trailing whitespace " :REV to "revert" file to state of the most recent save command REV earlier 1f " disable netrw -------------- let g:loaded_netrw = 1 let g:loaded_netrwPlugin = 1 " ---------------------------- Any guidance as to fixing the statusline would be fantastic. I've found a github issue outlining almost the exact same problem, but the solution was never posted. Thank you.

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• Need help merging 2 AHK scripts

  - by Mikey

  i have two functioning scripts that i want to merge into a single AHK File. My problem is that when i combine both scripts, the second script doesnt function or causes an error on script 1. Either way, script 2 ist not functioning at all. Here are some facts: Script 1 = a simple menu script where i want to assign hotkeys to. Script 2 = A small launcher script from a user named Tertius in autohotkey forum. Can someone please look at both codes and help me merge this? The INI File for script 2 looks like this: Keywords.ini npff|Firefox|Firefox gm|Gmail|http://gmail.google.com ;;;;;;;;;;;; BEGIN SCRIPT 2 DetectHiddenWindows, On SetWinDelay, -1 SetKeyDelay, -1 SetBatchLines, -1 GoSub Remin SetTimer, Remin, % 1000 * 60 Loop, read, %A_ScriptDir%\keywords.ini { LineNumber = %A_Index% Loop, parse, A_LoopReadLine, | { if (A_Index == 1) abbrevs%LineNumber% := A_LoopField else if (A_Index == 2) tips%LineNumber% := A_LoopField else if (A_Index == 3) programs%LineNumber% := A_LoopField else if (A_Index == 4) params%LineNumber% := A_LoopField } tosay := abbrevs%LineNumber% } cnt = %LineNumber% Loop { Input, Key, L1 V, % "{LControl}{RControl}{LAlt}{RAlt}{LShift}{RShift}{LWin}{RWin}" . "{AppsKey}{F1}{F2}{F3}{F4}{F5}{F6}{F7}{F8}{F9}{F10}{F11}{F12}{Left}{Right}{Up}{Down}" . "{Home}{End}{PgUp}{PgDn}{Del}{Ins}{BS}{Capslock}{Numlock}{PrintScreen}{Pause}{Escape}" If( ( Asc(Key) = 65 && Asc(Key) <= 90 ) || ( Asc(Key) = 97 && Asc(Key) <= 122 ) ) Word .= Key Else { Word := "" Continue } tipup := false Loop %cnt% { if (Word == abbrevs%A_index%) { tip := tips%A_index% ToolTip %tip% tipup := true } else { if (tipup == false) ToolTip } } } $Tab:: Loop %cnt% { if (Word != "" && Word == abbrevs%A_index%) { Word := "" StringLen, len, abbrevs%A_index% Loop %len% Send {Shift Down}{Left} Send {Shift Up}{BS} ToolTip program := programs%A_index% param := params%A_index% run, %program% %param% return } } Word := "" Send {Tab} Return ~LButton:: ~MButton:: ~RButton:: ~XButton1:: ~XButton2:: Word := "" Tooltip Return Remin: WinMinimize, %A_ScriptFullPath% - AutoHotkey v WinHide, %A_ScriptFullPath% - AutoHotkey v Return ;;;;;;;;;; END SCRIPT 2 ;;;;;;;;;;;;;; BEGIN SCRIPT 1 ;This is a working script that creates a popup menu. ; Create the popup menu by adding some items to it. Menu, MyMenu, Add, FIS 201, MenuHandler Menu, MyMenu, Add ; Add a separator line. Menu, MyMenu, Color, Lime, Single ;Define the Menu Color ; Create another menu destined to become a submenu of the above menu. Menu, Submenu1, Add, Item2, MenuHandler Menu, Submenu1, Add, Item3, MenuHandler Menu, Submenu1, Color, Yellow ;Define the Menu Color ; Create another menu destined to become a submenu of the above menu. Menu, Submenu2, Add, Item1a, MenuHandler Menu, Submenu2, Add, Item2a, MenuHandler Menu, Submenu2, Add, Item3a, MenuHandler Menu, Submenu2, Add, Item4a, MenuHandler Menu, Submenu2, Add, Item5a, MenuHandler Menu, Submenu2, Add, Item6a, MenuHandler Menu, Submenu2, Color, Aqua ;Define the Menu Color ; Create a submenu in the first menu (a right-arrow indicator). When the user selects it, the second menu is displayed. Menu, MyMenu, Add, BKRS 119, :Submenu1 Menu, MyMenu, Add ; Add a separator line below the submenu. Menu, MyMenu, Add, BKRS 201, :Submenu2 Menu, MyMenu, Add ; Add a separator line below the submenu. Menu, MyMenu, Add ; Add a separator line below the submenu. Menu, MyMenu, Add, Google Search, Google ; Add another menu item beneath the submenu. return ; End of script's auto-execute section. Capslock & LButton::Menu, MyMenu, Show ; i.e. press the Win-Z hotkey to show the menu. MenuHandler: MsgBox You selected %A_ThisMenuItem% from the menu %A_ThisMenu%. return ;;;;;;;;;;;;;;;;;;;;;;;; ;;;;;;;; Google Search ;;; FORMAT InputBox, OutputVar [, Title, Prompt, HIDE, Width, Height, X, Y, Font, Timeout, Default] Google: InputBox, SearchTerm, Google Search,,,350, 120 if SearchTerm < "" Run http://www.google.de/search?sclient=psy-ab&hl=de&site=&source=hp&q=%SearchTerm%&btnG=Suche return ; Make Window Transparent Space::WinSet, Transparent, 125, A ^!Space UP::WinSet, Transparent, OFF, A return ;;;;;;;;;;; END SCRIPT 1 Help is appreciated. Kind Regards, Mikey

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• How to setup linux permissions the WWW folder?

  - by Xeoncross

  Updated Summery The /var/www directory is owned by root:root which means that no one can use it and it's entirely useless. Since we all want a web server that actually works (and no-one should be logging in as "root"), then we need to fix this. Only two entities need access. PHP/Perl/Ruby/Python all need access to the folders and files since they create many of them (i.e. /uploads/). These scripting languages should be running under nginx or apache (or even some other thing like FastCGI for PHP). The developers How do they get access? I know that someone, somewhere has done this before. With however-many billions of websites out there you would think that there would be more information on this topic. I know that 777 is full read/write/execute permission for owner/group/other. So this doesn't seem to be needed as it leaves random users full permissions. What permissions are need to be used on /var/www so that... Source control like git or svn Users in a group like "websites" (or even added to "www-data") Servers like apache or lighthttpd And PHP/Perl/Ruby can all read, create, and run files (and directories) there? If I'm correct, Ruby and PHP scripts are not "executed" directly - but passed to an interpreter. So there is no need for execute permission on files in /var/www...? Therefore, it seems like the correct permission would be chmod -R 1660 which would make all files shareable by these four entities all files non-executable by mistake block everyone else from the directory entirely set the permission mode to "sticky" for all future files Is this correct? Update: I just realized that files and directories might need different permissions - I was talking about files above so i'm not sure what the directory permissions would need to be. Update 2: The folder structure of /var/www changes drastically as one of the four entities above are always adding (and sometimes removing) folders and sub folders many levels deep. They also create and remove files that the other 3 entities might need read/write access to. Therefore, the permissions need to do the four things above for both files and directories. Since non of them should need execute permission (see question about ruby/php above) I would assume that rw-rw-r-- permission would be all that is needed and completely safe since these four entities are run by trusted personal (see #2) and all other users on the system only have read access. Update 3: This is for personal development machines and private company servers. No random "web customers" like a shared host. Update 4: This article by slicehost seems to be the best at explaining what is needed to setup permissions for your www folder. However, I'm not sure what user or group apache/nginx with PHP OR svn/git run as and how to change them. Update 5: I have (I think) finally found a way to get this all to work (answer below). However, I don't know if this is the correct and SECURE way to do this. Therefore I have started a bounty. The person that has the best method of securing and managing the www directory wins.

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• bash: per-command history. How does it work?

  - by romainl

  OK. I have an old G5 running Leopard and a Dell running Ubuntu 10.04 at home and a MacPro also running Leopard at work. I use Terminal.app/bash a lot. On my home G5 it exhibits a nice feature: using ? to navigate history I get the last command starting with the few letters that I've typed. This is what I mean (| represents the caret): $ ssh user@server $ vim /some/file/just/to/populate/history $ ss| So, I've typed the two first letters of "ssh", hitting ? results in this: $ ssh user@server instead of this, which is the behaviour I get everywhere else : $ vim /some/file/just/to/populate/history If I keep on hitting ? or ?, I can navigate through the history of ssh like this: $ ssh otheruser@otherserver $ ssh user@server $ ssh yetanotheruser@yetanotherserver It works the same for any command like cat, vim or whatever. That's really cool. Except that I have no idea how to mimic this behaviour on my other machines. Here is my .profile: export PATH=/Developer/SDKs/flex_sdk_3.4/bin:/opt/local/bin:/opt/local/sbin:/usr/local/bin:/sw/bin:/sw/sbin:/bin:/sbin:/bin:/sbin:/usr/bin:/usr/sbin:$HOME/Applications/bin:/usr/X11R6/bin export MANPATH=/usr/local/share/man:/usr/local/man:opt/local/man:sw/share/man export INFO=/usr/local/share/info export PERL5LIB=/opt/local/lib/perl5 export PYTHONPATH=/opt/local/bin/python2.7 export EDITOR=/opt/local/bin/vim export VISUAL=/opt/local/bin/vim export JAVA_HOME=/System/Library/Frameworks/JavaVM.framework/Versions/1.6.0/Home export TERM=xterm-color export GREP_OPTIONS='--color=auto' GREP_COLOR='1;32' export CLICOLOR=1 export LS_COLORS='no=00:fi=00:di=01;34:ln=target:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=40;31;01:*.tar=00;31:*.tgz=00;31:*.arj=00;31:*.taz=00;31:*.lzh=00;31:*.zip=00;31:*.z=00;31:*.Z=00;31:*.gz=00;31:*.bz2=00;31:*.deb=00;31:*.rpm=00;31:*.TAR=00;31:*.TGZ=00;31:*.ARJ=00;31:*.TAZ=00;31:*.LZH=00;31:*.ZIP=00;31:*.Z=00;31:*.Z=00;31:*.GZ=00;31:*.BZ2=00;31:*.DEB=00;31:*.RPM=00;31:*.jpg=00;35:*.png=00;35:*.gif=00;35:*.bmp=00;35:*.ppm=00;35:*.tga=00;35:*.xbm=00;35:*.xpm=00;35:*.tif=00;35:*.png=00;35:*.fli=00;35:*.gl=00;35:*.dl=00;35:*.psd=00;35:*.JPG=00;35:*.PNG=00;35:*.GIF=00;35:*.BMP=00;35:*.PPM=00;35:*.TGA=00;35:*.XBM=00;35:*.XPM=00;35:*.TIF=00;35:*.PNG=00;35:*.FLI=00;35:*.GL=00;35:*.DL=00;35:*.PSD=00;35:*.mpg=00;36:*.avi=00;36:*.mov=00;36:*.flv=00;36:*.divx=00;36:*.qt=00;36:*.mp4=00;36:*.m4v=00;36:*.MPG=00;36:*.AVI=00;36:*.MOV=00;36:*.FLV=00;36:*.DIVX=00;36:*.QT=00;36:*.MP4=00;36:*.M4V=00;36:*.txt=00;32:*.rtf=00;32:*.doc=00;32:*.odf=00;32:*.rtfd=00;32:*.html=00;32:*.css=00;32:*.js=00;32:*.php=00;32:*.xhtml=00;32:*.TXT=00;32:*.RTF=00;32:*.DOC=00;32:*.ODF=00;32:*.RTFD=00;32:*.HTML=00;32:*.CSS=00;32:*.JS=00;32:*.PHP=00;32:*.XHTML=00;32:' export LC_ALL=C export LANG=C stty cs8 -istrip -parenb bind 'set convert-meta off' bind 'set meta-flag on' bind 'set output-meta on' alias ip='curl http://www.whatismyip.org | pbcopy' alias ls='ls -FhLlGp' alias la='ls -AFhLlGp' alias couleurs='$HOME/Applications/bin/colors2.sh' alias td='$HOME/Applications/bin/todo.sh' alias scale='$HOME/Applications/bin/scale.sh' alias stree='$HOME/Applications/bin/tree' alias envoi='$HOME/Applications/bin/envoi.sh' alias unfoo='$HOME/Applications/bin/unfoo' alias up='cd ..' alias size='du -sh' alias lsvn='svn list -vR' alias jsc='/System/Library/Frameworks/JavaScriptCore.framework/Versions/A/Resources/jsc' alias asl='sudo rm -f /private/var/log/asl/*.asl' alias trace='tail -f $HOME/Library/Preferences/Macromedia/Flash\ Player/Logs/flashlog.txt' alias redis='redis-server /opt/local/etc/redis.conf' source /Users/johncoltrane/Applications/bin/git-completion.sh export GIT_PS1_SHOWUNTRACKEDFILES=1 export GIT_PS1_SHOWUPSTREAM="verbose git" export GIT_PS1_SHOWDIRTYSTATE=1 export PS1='\n\[\033[32m\]\w\[\033[0m\] $(__git_ps1 "[%s]")\n\[\033[1;31m\]\[\033[31m\]\u\[\033[0m\] $ \[\033[0m\]' mkcd () { mkdir -p "$*" cd "$*" } function cdl { cd $1 la } n() { $EDITOR ~/Dropbox/nv/"$*".txt } nls () { ls -c ~/Dropbox/nv/ | grep "$*" } copy(){ curl -s -F 'sprunge=<-' http://sprunge.us | pbcopy } if [ -f /opt/local/etc/profile.d/cdargs-bash.sh ]; then source /opt/local/etc/profile.d/cdargs-bash.sh fi if [ -f /opt/local/etc/bash_completion ]; then . /opt/local/etc/bash_completion fi Any idea?

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• DRBD not syncing between my nodes when IP is reset

  - by ramdaz

  I am trying to setup DRBD by following the article at http://www.howtoforge.com/setting-up-network-raid1-with-drbd-on-ubuntu-11.10-p2 I am using Ubuntu 10.04 DRBD - 8.3.11 In the first run I had everything working perfectly and when shifting the systems to a production environment I decided to restart the Meta Data creation part and start from scratch. The IPs had changed entirely in the production environment. Issuing drdbadm create-md r0 in both the servers runs successfully. But when I do "drbdadm -- --overwrite-data-of-peer primary all" on the primary it fails to start the re sync. My config file is as given below resource r0 { protocol C; syncer { rate 50M; } startup { wfc-timeout 15; degr-wfc-timeout 60; } net { cram-hmac-alg sha1; shared-secret "aklsadkjlhdbskjndsf8738734jkfkjfkjf"; } on primaryds { device /dev/drbd0; disk /dev/md2; address 172.16.7.1:7788; meta-disk internal; } on secondaryds { device /dev/drbd0; disk /dev/md2; address 172.16.7.3:7788; meta-disk internal; } } Status on primary root at primaryds:~# cat /proc/drbd version: 8.3.7 (api:88/proto:86-91) GIT-hash: ea9e28dbff98e331a62bcbcc63a6135808fe2917 build by root at primaryds, 2012-05-12 15:08:01 0: cs:WFBitMapS ro:Primary/Secondary ds:UpToDate/Inconsistent C r---- ns:0 nr:0 dw:0 dr:200 al:0 bm:0 lo:0 pe:0 ua:0 ap:0 ep:1 wo:b oos:5690352828 Status on secondary root at secondaryds:/etc/drbd.d# cat /proc/drbd version: 8.3.7 (api:88/proto:86-91) GIT-hash: ea9e28dbff98e331a62bcbcc63a6135808fe2917 build by root at secondaryds, 2012-05-12 15:25:25 0: cs:WFBitMapT ro:Secondary/Primary ds:Inconsistent/UpToDate C r---- ns:0 nr:0 dw:0 dr:0 al:0 bm:0 lo:0 pe:0 ua:0 ap:0 ep:1 wo:b oos:5690352828 Log of Primary May 30 13:42:23 primaryds kernel: [ 1584.057076] block drbd0: role( Secondary -> Primary ) disk( Inconsistent -> UpToDate ) May 30 13:42:23 primaryds kernel: [ 1584.086264] block drbd0: Forced to consider local data as UpToDate! May 30 13:42:23 primaryds kernel: [ 1584.086303] block drbd0: Creating new current UUID May 30 13:42:26 primaryds kernel: [ 1586.405551] block drbd0: drbd_sync_handshake: May 30 13:42:26 primaryds kernel: [ 1586.405564] block drbd0: self E8A075F378173D4B:0000000000000004:0000000000000000:0000000000000000 bits:1422588207 flags:0 May 30 13:42:26 primaryds kernel: [ 1586.405574] block drbd0: peer 0000000000000004:0000000000000000:0000000000000000:0000000000000000 bits:1422588207 flags:0 May 30 13:42:26 primaryds kernel: [ 1586.405582] block drbd0: uuid_compare()=2 by rule 30 May 30 13:42:26 primaryds kernel: [ 1586.405587] block drbd0: Becoming sync source due to disk states. May 30 13:42:26 primaryds kernel: [ 1586.405592] block drbd0: Writing the whole bitmap, full sync required after drbd_sync_handshake. May 30 13:42:27 primaryds kernel: [ 1588.171638] block drbd0: 5427 GB (1422588207 bits) marked out-of-sync by on disk bit-map. May 30 13:42:27 primaryds kernel: [ 1588.172769] block drbd0: conn( Connected -> WFBitMapS ) Log in Secondary May 30 13:42:24 secondaryds kernel: [ 1563.304894] block drbd0: peer( Secondary - Primary ) pdsk( Inconsistent - UpToDate ) May 30 13:42:24 secondaryds kernel: [ 1563.339674] block drbd0: drbd_sync_handshake: May 30 13:42:24 secondaryds kernel: [ 1563.339685] block drbd0: self 0000000000000004:0000000000000000:0000000000000000:0000000000000000 bits:1422588207 flags:0 May 30 13:42:24 secondaryds kernel: [ 1563.339695] block drbd0: peer E8A075F378173D4B:0000000000000004:0000000000000000:0000000000000000 bits:1422588207 flags:0 May 30 13:42:24 secondaryds kernel: [ 1563.339703] block drbd0: uuid_compare()=-2 by rule 20 May 30 13:42:24 secondaryds kernel: [ 1563.339709] block drbd0: Becoming sync target due to disk states. May 30 13:42:24 secondaryds kernel: [ 1563.339714] block drbd0: Writing the whole bitmap, full sync required after drbd_sync_handshake. May 30 13:42:26 secondaryds kernel: [ 1565.652342] block drbd0: 5427 GB (1422588207 bits) marked out-of-sync by on disk bit-map. May 30 13:42:26 secondaryds kernel: [ 1565.652965] block drbd0: conn( Connected - WFBitMapT ) The serves are not responding once it reaches this stage. Tried redoing it couple of time but noting happens. Why could the resync not be taking place? I would like some advice? Directions?

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• configuring uppercut for automated build

  - by deepasun

  This is my cc.net's config file. http://confluence.public.thoughtworks.org/display/CCNET/Configuration+Preprocessor -- -- -- <!-- PROJECT STRUCTURE --> <cb:define name="WindowsFormsApplication1"> <project name="$(projectName)"> <workingDirectory>$(working_directory)\$(projectName)</workingDirectory> <artifactDirectory>$(drop_directory)\$(projectName)</artifactDirectory> <category>$(projectName)</category> <queuePriority>$(queuePriority)</queuePriority> <triggers> <intervalTrigger name="continuous" seconds="60" buildCondition="IfModificationExists" /> </triggers> <sourcecontrol type="svn"> <executable>c:\program files\subversion\bin\svn.exe</executable> <!--<trunkUrl>http://192.168.1.8/trainingrepos/deepasundari/WindowsFormsApplication1</trunkUrl>--> <trunkUrl>$(svnPath)</trunkUrl> <workingDirectory>$(working_directory)\$(projectName)</workingDirectory> </sourcecontrol> <tasks> <exec> <executable>$(working_directory)\$(projectName)\build.bat</executable> </exec> </tasks> <publishers> <merge> <files> <file>$(working_directory)\$(projectName)\build_output\build_artifacts\*.xml</file> <file>$(working_directory)\$(projectName)\build_output\build_artifacts\mbunit\*-results.xml</file> <file>$(working_directory)\$(projectName)\build_output\build_artifacts\nunit\*-results.xml</file> <file>$(working_directory)\$(projectName)\build_output\build_artifacts\ncover\*-results.xml</file> <file>$(working_directory)\$(projectName)\build_output\build_artifacts\ndepend\*.xml</file> </files> </merge> <!--<email from="[email protected]" mailhost="smtp.somewhere.com" includeDetails="TRUE"> <users> <user name="YOUR NAME" group="BuildNotice" address="[email protected]" /> </users> <groups> <group name="BuildNotice" notification="change" /> </groups> </email>--> <xmllogger/> <statistics> <statisticList> <firstMatch name="Svn Revision" xpath="//modifications/modification/changeNumber" /> <firstMatch name="ILInstructions" xpath="//ApplicationMetrics/@NILInstruction" /> <firstMatch name="LinesOfCode" xpath="//ApplicationMetrics/@NbLinesOfCode" /> <firstMatch name="LinesOfComment" xpath="//ApplicationMetrics/@NbLinesOfComment" /> </statisticList> </statistics> <modificationHistory onlyLogWhenChangesFound="true" /> <rss/> </publishers> </project> </cb:define> <cb:WindowsFormsApplication1 projectname="WindowsFormsApplication1" queuepriority="80" svnpath="http://192.168.1.8/trainingrepos/deepasundari/WindowsFormsApplication1" /> It is not producing the build directory in code_drop, but updating reports.xml with updated build.. wht is the problem?

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• unmet dependencies in Ubuntu 12.04

  - by lee.O

  I tried today to install a dvb-card on my Ubuntu 12.04 (Linux blauhai-linux 3.2.0-25-generic #40-Ubuntu SMP Wed May 23 20:30:51 UTC 2012 x86_64 x86_64 x86_64 GNU/Linux ). The installation failed with an error. After that, i tried to install python (it was already installed but i got this error): linux:~$ sudo apt-get install git Reading package lists... Done Building dependency tree Reading state information... Done git is already the newest version. You might want to run 'apt-get -f install' to correct these: The following packages have unmet dependencies: python-glade2:i386 : Depends: python:i386 (< 2.5) but it is not going to be installed Depends: python-support:i386 (= 0.3.4) but it is not installable Depends: python:i386 (= 2.4) but it is not going to be installed Depends: libglade2-0:i386 (= 1:2.5.1) but it is not going to be installed Depends: python-gtk2:i386 (= 2.8.6-8) but it is not going to be installed python-numeric:i386 : Depends: python:i386 (< 2.5) but it is not going to be installed Depends: python:i386 (= 2.3) but it is not going to be installed Depends: python-central:i386 (= 0.5.7) but it is not installable E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution). well, i can read and tried the proposed command, but then i get this: linux:~$ sudo apt-get -f install Reading package lists... Done Building dependency tree Reading state information... Done Correcting dependencies... Done The following packages were automatically installed and are no longer required: libopenal1:i386 libsdl-ttf2.0-0:i386 libkrb5-3:i386 libgconf-2-4:i386 libsm-dev libatk1.0-0:i386 libk5crypto3:i386 libstdc++5:i386 libqt4-declarative:i386 libxcomposite1:i386 libice-dev libgail18:i386 libldap-2.4-2:i386 libao-common libv4l-0:i386 liblcms1:i386 libqt4-qt3support:i386 libroken18-heimdal:i386 libunistring0:i386 libcupsimage2:i386 libgphoto2-port0:i386 libidn11:i386 libnss3:i386 libcaca0:i386 gtk2-engines:i386 libgudev-1.0-0:i386 libjpeg-turbo8:i386 libpthread-stubs0 libcairo-gobject2:i386 libavc1394-0:i386 libjpeg8:i386 libotr2 libaio1:i386 libsane:i386 odbcinst1debian2 odbcinst1debian2:i386 libqt4-test:i386 libqt4-script:i386 libqt4-designer:i386 libsdl-mixer1.2:i386 libqt4-network:i386 libqt4-dbus:i386 libcap2:i386 libproxy1:i386 ibus-gtk:i386 libdbus-glib-1-2:i386 libtdb1:i386 libasn1-8-heimdal:i386 libspeex1:i386 libxslt1.1:i386 libgomp1:i386 libcapi20-3:i386 libibus-1.0-0:i386 libcairo2:i386 libgnutls26:i386 libopenal-data odbcinst libgssapi3-heimdal:i386 libcanberra0:i386 libtasn1-3:i386 libfreetype6:i386 x11proto-kb-dev gtk2-engines-murrine:i386 libwavpack1:i386 libqt4-opengl:i386 libsoup-gnome2.4-1:i386 libv4lconvert0:i386 gstreamer0.10-plugins-good:i386 libc6-i386 lib32gcc1 libqt4-xmlpatterns:i386 librsvg2-common:i386 libdatrie1:i386 xtrans-dev libavahi-common-data:i386 libiec61883-0:i386 lib32asound2 libgdk-pixbuf2.0-0:i386 libsdl-image1.2:i386 libp11-kit0:i386 x11proto-input-dev libwind0-heimdal:i386 libpixman-1-0:i386 libsdl1.2debian:i386 libxaw7:i386 libgdbm3:i386 libcups2:i386 libcurl3:i386 libqtcore4:i386 libxinerama1:i386 libesd0:i386 libmikmod2:i386 libkrb5support0:i386 libxft2:i386 libxt-dev libcroco3:i386 libpulse-mainloop-glib0:i386 libice6:i386 libaa1:i386 libieee1284-3:i386 libgcrypt11:i386 libthai0:i386 libao4:i386 libkeyutils1:i386 libxmu6:i386 libcanberra-gtk0:i386 libvorbisfile3:i386 libqt4-sql:i386 esound-common libxpm4:i386 libqt4-svg:i386 libusb-0.1-4:i386 libgail-common:i386 libxrender1:i386 libhcrypto4-heimdal:i386 libraw1394-11:i386 libnspr4:i386 libshout3:i386 libdv4:i386 libhx509-5-heimdal:i386 libxau-dev libqt4-xml:i386 gstreamer0.10-x:i386 libgettextpo0:i386 libxss1:i386 libgd2-xpm:i386 libheimbase1-heimdal:i386 libtiff4:i386 libsdl-net1.2:i386 libjasper1:i386 libgnome-keyring0:i386 libxtst6:i386 gtk2-engines-pixbuf:i386 libqtgui4:i386 libtag1c2a:i386 librsvg2-2:i386 libavahi-client3:i386 libssl0.9.8:i386 libmpg123-0:i386 libmad0:i386 libsasl2-2:i386 xorg-sgml-doctools libgsoap1 gtk2-engines-oxygen:i386 libfontconfig1:i386 xaw3dg:i386 libpango1.0-0:i386 libsm6:i386 libx11-dev libheimntlm0-heimdal:i386 libpulsedsp:i386 lib32stdc++6 libx11-doc libqt4-sql-mysql:i386 libxcb-render0:i386 libodbc1:i386 libexif12:i386 libqt4-scripttools:i386 librtmp0:i386 libgssapi-krb5-2:i386 libxi6:i386 libqtwebkit4:i386 libxcb1-dev libxp6:i386 libaudio2:i386 libxcursor1:i386 libxcb-shm0:i386 libxt6:i386 libxv1:i386 libsasl2-modules:i386 libavahi-common3:i386 libxrandr2:i386 x11proto-core-dev libsqlite3-0:i386 libmng1:i386 libgtk2.0-0:i386 libxdmcp-dev libpthread-stubs0-dev libltdl7:i386 libkrb5-26-heimdal:i386 libssl1.0.0:i386 glib-networking:i386 libgpg-error0:i386 libsoup2.4-1:i386 libgphoto2-2:i386 libtag1-vanilla:i386 libaudiofile1:i386 libglade2-0:i386 Use 'apt-get autoremove' to remove them. The following extra packages will be installed: default-jre default-jre-headless icedtea-6-jre-cacao icedtea-6-jre-jamvm icedtea-netx icedtea-netx-common libglade2-0:i386 libpython3.2 openjdk-6-jre openjdk-6-jre-headless openjdk-6-jre-lib python3 python3-minimal python3-uno python3.2 python3.2-minimal Suggested packages: icedtea-plugin sun-java6-fonts fonts-ipafont-gothic fonts-ipafont-mincho ttf-telugu-fonts ttf-oriya-fonts ttf-kannada-fonts ttf-bengali-fonts python3-doc python3-tk python3.2-doc binfmt-support The following packages will be REMOVED: activity-log-manager-control-center aisleriot alacarte apparmor apport apport-gtk apt-xapian-index aptdaemon apturl apturl-common bluez bluez-alsa bluez-alsa:i386 bluez-gstreamer checkbox checkbox-qt command-not-found compiz compiz-gnome compiz-plugins-main-default compizconfig-backend-gconf deja-dup duplicity eog evolution-data-server firefox firefox-globalmenu firefox-gnome-support foomatic-db-compressed-ppds gconf-editor gconf2 gdb gedit gir1.2-mutter-3.0 gir1.2-peas-1.0 gir1.2-rb-3.0 gir1.2-totem-1.0 gir1.2-ubuntuoneui-3.0 gksu gnome-applets gnome-applets-data gnome-bluetooth gnome-contacts gnome-control-center gnome-media gnome-menus gnome-orca gnome-panel gnome-panel-data gnome-session-fallback gnome-shell gnome-sudoku gnome-terminal gnome-terminal-data gnome-themes-standard gnome-tweak-tool gnome-user-share gstreamer0.10-gconf gwibber gwibber-service gwibber-service-facebook gwibber-service-identica gwibber-service-twitter hplip hplip-data ia32-libs ia32-libs-multiarch:i386 ibus ibus-pinyin ibus-table indicator-datetime indicator-power jockey-common jockey-gtk landscape-client-ui-install language-selector-common language-selector-gnome launchpad-integration libcanberra-gtk-module libcanberra-gtk-module:i386 libcanberra-gtk3-module libcompizconfig0 libfolks-eds25 libgksu2-0 libgnome-media-profiles-3.0-0 libgnome2-0 libgnome2-common libgnomevfs2-0 libgnomevfs2-common libgweather-3-0 libgweather-common libgwibber-gtk2 libgwibber2 libmetacity-private0 libmutter0 libpeas-1.0-0 libpurple-bin libpython2.7 libreoffice-gnome librhythmbox-core5 libsyncdaemon-1.0-1 libtotem0 libubuntuoneui-3.0-1 light-themes lsb-release metacity metacity-common mutter-common nautilus-dropbox nautilus-share network-manager-gnome nvidia-common nvidia-settings nvidia-settings-updates onboard oneconf openjdk-7-jdk openjdk-7-jre openprinting-ppds pidgin pidgin-libnotify pidgin-otr printer-driver-foo2zjs printer-driver-ptouch printer-driver-pxljr printer-driver-sag-gdi printer-driver-splix python python-appindicator python-apport python-apt python-apt-common python-aptdaemon python-aptdaemon.gtk3widgets python-aptdaemon.pkcompat python-brlapi python-cairo python-central python-chardet python-configglue python-crypto python-cups python-cupshelpers python-dateutil python-dbus python-debian python-debtagshw python-defer python-dirspec python-egenix-mxdatetime python-egenix-mxtools python-gconf python-gdbm python-gi python-gi-cairo python-glade2:i386 python-gmenu python-gnomekeyring python-gnupginterface python-gobject python-gobject-2 python-gpgme python-gst0.10 python-gtk2 python-httplib2 python-ibus python-imaging python-keyring python-launchpadlib python-lazr.restfulclient python-lazr.uri python-libproxy python-libxml2 python-louis python-mako python-markupsafe python-minimal python-notify python-numeric:i386 python-oauth python-openssl python-packagekit python-pam python-pexpect python-piston-mini-client python-pkg-resources python-problem-report python-protobuf python-pyatspi2 python-pycurl python-pyinotify python-renderpm python-reportlab python-reportlab-accel python-serial python-simplejson python-smbc python-software-properties python-speechd python-twisted-bin python-twisted-core python-twisted-names python-twisted-web python-ubuntu-sso-client python-ubuntuone-client python-ubuntuone-control-panel python-ubuntuone-storageprotocol python-uno python-virtkey python-wadllib python-xapian python-xdg python-xkit python-zeitgeist python-zope.interface python2.7 python2.7-minimal rhythmbox rhythmbox-mozilla rhythmbox-plugin-cdrecorder rhythmbox-plugin-magnatune rhythmbox-plugin-zeitgeist rhythmbox-plugins rhythmbox-ubuntuone screen-resolution-extra sessioninstaller skype software-center software-center-aptdaemon-plugins software-properties-common software-properties-gtk system-config-printer-common system-config-printer-gnome system-config-printer-udev texlive-extra-utils totem totem-mozilla totem-plugins ubuntu-artwork ubuntu-desktop ubuntu-minimal ubuntu-sso-client ubuntu-sso-client-gtk ubuntu-standard ubuntu-system-service ubuntuone-client ubuntuone-client-gnome ubuntuone-control-panel ubuntuone-couch ubuntuone-installer ufw unattended-upgrades unity unity-2d unity-common unity-lens-applications unity-lens-video unity-scope-musicstores unity-scope-video-remote update-manager update-manager-core update-notifier update-notifier-common usb-creator-common usb-creator-gtk virtualbox virtualbox-dkms virtualbox-qt xdiagnose xul-ext-ubufox zeitgeist zeitgeist-core zeitgeist-datahub The following NEW packages will be installed: default-jre default-jre-headless icedtea-6-jre-cacao icedtea-6-jre-jamvm icedtea-netx icedtea-netx-common libglade2-0:i386 libpython3.2 openjdk-6-jre openjdk-6-jre-headless openjdk-6-jre-lib python3 python3-minimal python3-uno python3.2 python3.2-minimal WARNING: The following essential packages will be removed. This should NOT be done unless you know exactly what you are doing! python-minimal python2.7-minimal (due to python-minimal) 0 upgraded, 16 newly installed, 273 to remove and 0 not upgraded. 2 not fully installed or removed. Need to get 39.1 MB of archives. After this operation, 324 MB disk space will be freed. You are about to do something potentially harmful. To continue type in the phrase 'Yes, do as I say!' ?] Thats not good, is it?! Should i run this command or should i run another command to fix this problem? Would be great if somebody can help me. :) Thanks in advance. best regards

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• TFS 2010 Basic Concepts

  - by jehan

  v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Here, I’m going to discuss some key Architectural changes and concepts that have taken place in TFS 2010 when compared to TFS 2008. In TFS 2010 Installation, First you need to do the Installation and then you have to configure the Installation Feature from the available features. This is bit similar to SharePoint Installation, where you will first do the Installation and then configure the SharePoint Farms. 1) Installation Features available in TFS2010: a) Basic: It is the most compact TFS installation possible. It will install and configure Source Control, Work Item tracking and Build Services only. (SharePoint and Reporting Integration will not be possible). b) Standard Single Server: This is suitable for Single Server deployment of TFS. It will install and configure Windows SharePoint Services for you and will use the default instance of SQL Server. c) Advanced: It is suitable, if you want use Remote Servers for SQL Server Databases, SharePoint Products and Technologies and SQL Server Reporting Services. d) Application Tier Only: If you want to configure high availability for Team Foundation Server in a Load Balanced Environment (NLB) or you want to move Team Foundation Server from one server to other or you want to restore TFS. e) Upgrade: If you want to upgrade from a prior version of TFS. Note: One more important thing to know here about  TFS 2010 Basic is that,  it can be installed on Client Operations Systems(Windows 7 and Windows Vista SP3), Where as  earlier you cannot Install previous version of TFS (2008 and 2005) on client OS. 2) Team Project Collections: Connect to TFS dialog box in TFS 2008:  In TFS 2008, the TFS Server contains a set of Team Projects and each project may or may not be independent of other projects and every checkin gets a ever increasing  changeset ID  irrespective of the team project in which it is checked in and the same applies to work items  also, who also gets unique Work Item Ids.The main problem with this approach was that there are certain things which were impossible to do; those were required as per the Application Development Process. a)      If something has gone wrong in one team project and now you want to restore it back to earlier state where it was working properly then it requires you to restore the Database of Team Foundation Server from the backup you have taken as per your Maintenance plans and because of this the other team projects may lose out on the work which is not backed up. b)       Your company had a merge with some other company and now you have two TFS servers. One TFS Server which you are working on and other TFS server which other company was working and now after the merge you want to integrate the team projects from two TFS servers into one, which is almost impossible to achieve in TFS 2008. Though you can create the Team Projects in one server manually (In Source Control) which you want to integrate from the other TFS Server, but will lose out on History of Change Sets and Work items and others which are very important. There were few more issues of this sort, which were difficult to resolve in TFS 2008. To resolve issues related to above kind of scenarios which were mainly related TFS Maintenance, Integration, migration and Security,  Microsoft has come up with Team Project Collections concept in TFS 2010.This concept is similar to SharePoint Site Collections and if you are familiar with SharePoint Architecture, then it will help you to understand TFS 2010 Architecture easily. Connect to TFS dialog box in TFS 2010: In above dialog box as you can see there are two Team Project Collections, each team project can contain any number of team projects as you can see on right side it shows the two Team Projects in Team Project Collection (Default Collection) which I have chosen. Note: You can connect to only one Team project Collection at a time using an instance of  TFS Team Explorer. How does it work? To introduce Team Project Collections, changes have been done in reorganization of TFS databases. TFS 2008 was composed of 5-7 databases partitioned by subsystem (each for Version Control, Work Item Tracking, Build, Integration, Project Management...) New TFS 2010 database architecture: TFS_Config: It’s the root database and it contains centralized TFS configuration data, including the list of all team projects exist in TFS server. TFS_Warehouse: The data warehouse contains all the reporting data of served by this server (farm). TFS_* : This contains individual team project collection data. This database contains all the operational data of team project collection regardless of subsystem.In additional to this, you will have databases for SharePoint and Report Server. 3) TFS Farms:  As TFS 2010 is more flexible to configure as multiple Application tiers and multiple Database tiers, so it will be more appropriate to call as TFS Farm if you going for multi server installation of TFS. NLB support for TFS application tiers – With TFS 2010: you can configure multiple TFS application tier machines to serve the same set of Team Project Collections. The primary purpose of NLB support is to enable a cleaner and more complete high availability than in TFS 2008. Even if any application tier in the farm fails then farm will automatically continue to work with hardly any indication to end users of a problem. SQL data tiers: With 2010 you can configure many SQL Servers. Each Database can be configured to be on any SQL Server because each Team Project Collection is an independent database. This feature can also be used to load balance databases across SQL Servers.These new capabilities will significantly change the way enterprises manage their TFS installations in the future. With Team Project Collections and TFS farms, you can create a single, arbitrarily large TFS installation. You can grow it incrementally by adding ATs and SQL Servers as needed.

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• Basics of Join Predicate Pushdown in Oracle

  - by Maria Colgan

  Happy New Year to all of our readers! We hope you all had a great holiday season. We start the new year by continuing our series on Optimizer transformations. This time it is the turn of Predicate Pushdown. I would like to thank Rafi Ahmed for the content of this blog.Normally, a view cannot be joined with an index-based nested loop (i.e., index access) join, since a view, in contrast with a base table, does not have an index defined on it. A view can only be joined with other tables using three methods: hash, nested loop, and sort-merge joins. Introduction The join predicate pushdown (JPPD) transformation allows a view to be joined with index-based nested-loop join method, which may provide a more optimal alternative. In the join predicate pushdown transformation, the view remains a separate query block, but it contains the join predicate, which is pushed down from its containing query block into the view. The view thus becomes correlated and must be evaluated for each row of the outer query block. These pushed-down join predicates, once inside the view, open up new index access paths on the base tables inside the view; this allows the view to be joined with index-based nested-loop join method, thereby enabling the optimizer to select an efficient execution plan. The join predicate pushdown transformation is not always optimal. The join predicate pushed-down view becomes correlated and it must be evaluated for each outer row; if there is a large number of outer rows, the cost of evaluating the view multiple times may make the nested-loop join suboptimal, and therefore joining the view with hash or sort-merge join method may be more efficient. The decision whether to push down join predicates into a view is determined by evaluating the costs of the outer query with and without the join predicate pushdown transformation under Oracle's cost-based query transformation framework. The join predicate pushdown transformation applies to both non-mergeable views and mergeable views and to pre-defined and inline views as well as to views generated internally by the optimizer during various transformations. The following shows the types of views on which join predicate pushdown is currently supported. UNION ALL/UNION view Outer-joined view Anti-joined view Semi-joined view DISTINCT view GROUP-BY view Examples Consider query A, which has an outer-joined view V. The view cannot be merged, as it contains two tables, and the join between these two tables must be performed before the join between the view and the outer table T4. A: SELECT T4.unique1, V.unique3 FROM T_4K T4,            (SELECT T10.unique3, T10.hundred, T10.ten             FROM T_5K T5, T_10K T10             WHERE T5.unique3 = T10.unique3) VWHERE T4.unique3 = V.hundred(+) AND       T4.ten = V.ten(+) AND       T4.thousand = 5; The following shows the non-default plan for query A generated by disabling join predicate pushdown. When query A undergoes join predicate pushdown, it yields query B. Note that query B is expressed in a non-standard SQL and shows an internal representation of the query. B: SELECT T4.unique1, V.unique3 FROM T_4K T4,           (SELECT T10.unique3, T10.hundred, T10.ten             FROM T_5K T5, T_10K T10             WHERE T5.unique3 = T10.unique3             AND T4.unique3 = V.hundred(+)             AND T4.ten = V.ten(+)) V WHERE T4.thousand = 5; The execution plan for query B is shown below. In the execution plan BX, note the keyword 'VIEW PUSHED PREDICATE' indicates that the view has undergone the join predicate pushdown transformation. The join predicates (shown here in red) have been moved into the view V; these join predicates open up index access paths thereby enabling index-based nested-loop join of the view. With join predicate pushdown, the cost of query A has come down from 62 to 32.  As mentioned earlier, the join predicate pushdown transformation is cost-based, and a join predicate pushed-down plan is selected only when it reduces the overall cost. Consider another example of a query C, which contains a view with the UNION ALL set operator.C: SELECT R.unique1, V.unique3 FROM T_5K R,            (SELECT T1.unique3, T2.unique1+T1.unique1             FROM T_5K T1, T_10K T2             WHERE T1.unique1 = T2.unique1             UNION ALL             SELECT T1.unique3, T2.unique2             FROM G_4K T1, T_10K T2             WHERE T1.unique1 = T2.unique1) V WHERE R.unique3 = V.unique3 and R.thousand < 1; The execution plan of query C is shown below. In the above, 'VIEW UNION ALL PUSHED PREDICATE' indicates that the UNION ALL view has undergone the join predicate pushdown transformation. As can be seen, here the join predicate has been replicated and pushed inside every branch of the UNION ALL view. The join predicates (shown here in red) open up index access paths thereby enabling index-based nested loop join of the view. Consider query D as an example of join predicate pushdown into a distinct view. We have the following cardinalities of the tables involved in query D: Sales (1,016,271), Customers (50,000), and Costs (787,766).  D: SELECT C.cust_last_name, C.cust_city FROM customers C,            (SELECT DISTINCT S.cust_id             FROM sales S, costs CT             WHERE S.prod_id = CT.prod_id and CT.unit_price > 70) V WHERE C.cust_state_province = 'CA' and C.cust_id = V.cust_id; The execution plan of query D is shown below. As shown in XD, when query D undergoes join predicate pushdown transformation, the expensive DISTINCT operator is removed and the join is converted into a semi-join; this is possible, since all the SELECT list items of the view participate in an equi-join with the outer tables. Under similar conditions, when a group-by view undergoes join predicate pushdown transformation, the expensive group-by operator can also be removed. With the join predicate pushdown transformation, the elapsed time of query D came down from 63 seconds to 5 seconds. Since distinct and group-by views are mergeable views, the cost-based transformation framework also compares the cost of merging the view with that of join predicate pushdown in selecting the most optimal execution plan. Summary We have tried to illustrate the basic ideas behind join predicate pushdown on different types of views by showing example queries that are quite simple. Oracle can handle far more complex queries and other types of views not shown here in the examples. Again many thanks to Rafi Ahmed for the content of this blog post.

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• Multi-tenant ASP.NET MVC - Views

  - by zowens

  Part I – Introduction Part II – Foundation Part III – Controllers   So far we have covered the basic premise of tenants and how they will be delegated. Now comes a big issue with multi-tenancy, the views. In some applications, you will not have to override views for each tenant. However, one of my requirements is to add extra views (and controller actions) along with overriding views from the core structure. This presents a bit of a problem in locating views for each tenant request. I have chosen quite an opinionated approach at the present but will coming back to the “views” issue in a later post. What’s the deal? The path I’ve chosen is to use precompiled Spark views. I really love Spark View Engine and was planning on using it in my project anyways. However, I ran across a really neat aspect of the source when I was having a look under the hood. There’s an easy way to hook in embedded views from your project. There are solutions that provide this, but they implement a special Virtual Path Provider. While I think this is a great solution, I would rather just have Spark take care of the view resolution. The magic actually happens during the compilation of the views into a bin-deployable DLL. After the views are compiled, the are simply pulled out of the views DLL. Each tenant has its own views DLL that just has “.Views” appended after the assembly name as a convention. The list of reasons for this approach are quite long. The primary motivation is performance. I’ve had quite a few performance issues in the past and I would like to increase my application’s performance in any way that I can. My customized build of Spark removes insignificant whitespace from the HTML output so I can some some bandwidth and load time without having to deal with whitespace removal at runtime.   How to setup Tenants for the Host In the source, I’ve provided a single tenant as a sample (Sample1). This will serve as a template for subsequent tenants in your application. The first step is to add a “PostBuildStep” installer into the project. I’ve defined one in the source that will eventually change as we focus more on the construction of dependency containers. The next step is to tell the project to run the installer and copy the DLL output to a folder in the host that will pick up as a tenant. Here’s the code that will achieve it (this belongs in Post-build event command line field in the Build Events tab of settings) %systemroot%\Microsoft.NET\Framework\v4.0.30319\installutil "$(TargetPath)" copy /Y "$(TargetDir)$(TargetName)*.dll" "$(SolutionDir)Web\Tenants\" copy /Y "$(TargetDir)$(TargetName)*.pdb" "$(SolutionDir)Web\Tenants\" The DLLs with a name starting with the target assembly name will be copied to the “Tenants” folder in the web project. This means something like MultiTenancy.Tenants.Sample1.dll and MultiTenancy.Tenants.Sample1.Views.dll will both be copied along with the debug symbols. This is probably the simplest way to go about this, but it is a tad inflexible. For example, what if you have dependencies? The preferred method would probably be to use IL Merge to merge your dependencies with your target DLL. This would have to be added in the build events. Another way to achieve that would be to simply bypass Visual Studio events and use MSBuild.   I also got a question about how I was setting up the controller factory. Here’s the basics on how I’m setting up tenants inside the host (Global.asax) protected void Application_Start() { RegisterRoutes(RouteTable.Routes); // create a container just to pull in tenants var topContainer = new Container(); topContainer.Configure(config => { config.Scan(scanner => { scanner.AssembliesFromPath(Path.Combine(Server.MapPath("~/"), "Tenants")); scanner.AddAllTypesOf<IApplicationTenant>(); }); }); // create selectors var tenantSelector = new DefaultTenantSelector(topContainer.GetAllInstances<IApplicationTenant>()); var containerSelector = new TenantContainerResolver(tenantSelector); // clear view engines, we don't want anything other than spark ViewEngines.Engines.Clear(); // set view engine ViewEngines.Engines.Add(new TenantViewEngine(tenantSelector)); // set controller factory ControllerBuilder.Current.SetControllerFactory(new ContainerControllerFactory(containerSelector)); } The code to setup the tenants isn’t actually that hard. I’m utilizing assembly scanners in StructureMap as a simple way to pull in DLLs that are not in the AppDomain. Remember that there is a dependency on the host in the tenants and a tenant cannot simply be referenced by a host because of circular dependencies.   Tenant View Engine TenantViewEngine is a simple delegator to the tenant’s specified view engine. You might have noticed that a tenant has to define a view engine. public interface IApplicationTenant { .... IViewEngine ViewEngine { get; } } The trick comes in specifying the view engine on the tenant side. Here’s some of the code that will pull views from the DLL. protected virtual IViewEngine DetermineViewEngine() { var factory = new SparkViewFactory(); var file = GetType().Assembly.CodeBase.Without("file:///").Replace(".dll", ".Views.dll").Replace('/', '\\'); var assembly = Assembly.LoadFile(file); factory.Engine.LoadBatchCompilation(assembly); return factory; } This code resides in an abstract Tenant where the fields are setup in the constructor. This method (inside the abstract class) will load the Views assembly and load the compilation into Spark’s “Descriptors” that will be used to determine views. There is some trickery on determining the file location… but it works just fine.   Up Next There’s just a few big things left such as StructureMap configuring controllers with a convention instead of specifying types directly with container construction and content resolution. I will also try to find a way to use the Web Forms View Engine in a multi-tenant way we achieved with the Spark View Engine without using a virtual path provider. I will probably not use the Web Forms View Engine personally, but I’m sure some people would prefer using WebForms because of the maturity of the engine. As always, I love to take questions by email or on twitter. Suggestions are always welcome as well! (Oh, and here’s another link to the source code).

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• Using SQL Source Control with Fortress or Vault &ndash; Part 2

  - by AjarnMark

  In Part 1, I started talking about using Red-Gate’s newest version of SQL Source Control and how I really like it as a viable method to source control your database development.  It looks like this is going to turn into a little series where I will explain how we have done things in the past, and how life is different with SQL Source Control.  I will also explain some of my philosophy and methodology around deployment with these tools.  But for now, let’s talk about some of the good and the bad of the tool itself. More Kudos and Features I mentioned previously how impressed I was with the responsiveness of Red-Gate’s team.  I have been having an ongoing email conversation with Gyorgy Pocsi, and as I have run into problems or requested things behave a little differently, it has not been more than a day or two before a new Build is ready for me to download and test.  Quite impressive! I’m sure much of the requests I put in were already in the plans, so I can’t really take credit for them, but throughout this conversation, Red-Gate has implemented several features that were not in the first Early Access version.  Those include: Honoring the Fortress configuration option to require Work Item (Bug) IDs on check-ins. Adding the check-in comment text as a comment to the Work Item. Adding the list of checked-in files, along with the Fortress links for automatic History and DIFF view Updating the status of a Work Item on check-in (e.g. setting the item to Complete or, in our case “Dev-Complete”) Support for the Fortress 2.0 API, and not just the Vault Pro 5.1 API.  (See later notes regarding support for Fortress 2.0). These were all features that I felt we really needed to have in-place before I could honestly consider converting my team to using SQL Source Control on a regular basis.  Now that I have those, my only excuse is not wanting to switch boats on the team mid-stream.  So when we wrap up our current release in a few weeks, we will make the jump.  In the meantime, I will continue to bang on it to make sure it is stable.  It passed one test for stability when I did a test load of one of our larger database schemas into Fortress with SQL Source Control.  That database has about 150 tables, 200 User-Defined Functions and nearly 900 Stored Procedures.  The initial load to source control went smoothly and took just a brief amount of time. Warnings Remember that this IS still in pre-release stage and while I have not had any problems after that first hiccup I wrote about last time, you still need to treat it with a healthy respect.  As I understand it, the RTM is targeted for February.  There are a couple more features that I hope make it into the final release version, but if not, they’ll probably be coming soon thereafter.  Those are: A Browse feature to let me lookup the Work Item ID instead of having to remember it or look back in my Item details.  This is just a matter of convenience. I normally have my Work Item list open anyway, so I can easily look it up, but hey, why not make it even easier. A multi-line comment area.  The current space for writing check-in comments is a single-line text box.  I would like to have a multi-line space as I sometimes write lengthy commentary.  But I recognize that it is a struggle to get most developers to put in more than the word “fixed” as their comment, so this meets the need of the majority as-is, and it’s not a show-stopper for us. Merge.  SQL Source Control currently does not have a Merge feature.  If two or more people make changes to the same database object, you will get a warning of the conflict and have to choose which one wins (and then manually edit to include the others’ changes).  I think it unlikely you will run into actual conflicts in Stored Procedures and Functions, but you might with Views or Tables.  This will be nice to have, but I’m not losing any sleep over it.  And I have multiple tools at my disposal to do merges manually, so really not a show-stopper for us. Automation has its limits.  As cool as this automation is, it has its limits and there are some changes that you will be better off scripting yourself.  For example, if you are refactoring table definitions, and want to change a column name, you can write that as a quick sp_rename command and preserve the data within that column.  But because this tool is looking just at a before and after picture, it cannot tell that you just renamed a column.  To the tool, it looks like you dropped one column and added another.  This is not a knock against Red-Gate.  All automated scripting tools have this issue, unless the are actively monitoring your every step to know exactly what you are doing.  This means that when you go to Deploy your changes, SQL Compare will script the change as a column drop and add, or will attempt to rebuild the entire table.  Unfortunately, neither of these approaches will preserve the existing data in that column the way an sp_rename will, and so you are better off scripting that change yourself.  Thankfully, SQL Compare will produce warnings about the potential loss of data before it does the actual synchronization and give you a chance to intercept the script and do it yourself. Also, please note that the current official word is that SQL Source Control supports Vault Professional 5.1 and later.  Vault Professional is the new name for what was previously known as Fortress.  (You can read about the name change on SourceGear’s site.)  The last version of Fortress was 2.x, and the API for Fortress 2.x is different from the API for Vault Pro.  At my company, we are currently running Fortress 2.0, with plans to upgrade to Vault Pro early next year.  Gyorgy was able to come up with a work-around for me to be able to use SQL Source Control with Fortress 2.0, even though it is not officially supported.  If you are using Fortress 2.0 and want to use SQL Source Control, be aware that this is not officially supported, but it is working for us, and you can probably get the work-around instructions from Red-Gate if you’re really, really nice to them. Upcoming Topics Some of the other topics I will likely cover in this series over the next few weeks are: How we used to do source control back in the old days (a few weeks ago) before SQL Source Control was available to Vault users What happens when you restore a database that is linked to source control Handling multiple development branches of source code Concurrent Development practices and handling Conflicts Deployment Tips and Best Practices A recap after using the tool for a while

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• Fun with Aggregates

  - by Paul White

  There are interesting things to be learned from even the simplest queries.  For example, imagine you are given the task of writing a query to list AdventureWorks product names where the product has at least one entry in the transaction history table, but fewer than ten. One possible query to meet that specification is: SELECT p.Name FROM Production.Product AS p JOIN Production.TransactionHistory AS th ON p.ProductID = th.ProductID GROUP BY p.ProductID, p.Name HAVING COUNT_BIG(*) < 10; That query correctly returns 23 rows (execution plan and data sample shown below): The execution plan looks a bit different from the written form of the query: the base tables are accessed in reverse order, and the aggregation is performed before the join.  The general idea is to read all rows from the history table, compute the count of rows grouped by ProductID, merge join the results to the Product table on ProductID, and finally filter to only return rows where the count is less than ten. This ‘fully-optimized’ plan has an estimated cost of around 0.33 units.  The reason for the quote marks there is that this plan is not quite as optimal as it could be – surely it would make sense to push the Filter down past the join too?  To answer that, let’s look at some other ways to formulate this query.  This being SQL, there are any number of ways to write logically-equivalent query specifications, so we’ll just look at a couple of interesting ones.  The first query is an attempt to reverse-engineer T-SQL from the optimized query plan shown above.  It joins the result of pre-aggregating the history table to the Product table before filtering: SELECT p.Name FROM ( SELECT th.ProductID, cnt = COUNT_BIG(*) FROM Production.TransactionHistory AS th GROUP BY th.ProductID ) AS q1 JOIN Production.Product AS p ON p.ProductID = q1.ProductID WHERE q1.cnt < 10; Perhaps a little surprisingly, we get a slightly different execution plan: The results are the same (23 rows) but this time the Filter is pushed below the join!  The optimizer chooses nested loops for the join, because the cardinality estimate for rows passing the Filter is a bit low (estimate 1 versus 23 actual), though you can force a merge join with a hint and the Filter still appears below the join.  In yet another variation, the < 10 predicate can be ‘manually pushed’ by specifying it in a HAVING clause in the “q1” sub-query instead of in the WHERE clause as written above. The reason this predicate can be pushed past the join in this query form, but not in the original formulation is simply an optimizer limitation – it does make efforts (primarily during the simplification phase) to encourage logically-equivalent query specifications to produce the same execution plan, but the implementation is not completely comprehensive. Moving on to a second example, the following query specification results from phrasing the requirement as “list the products where there exists fewer than ten correlated rows in the history table”: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) < 10 ); Unfortunately, this query produces an incorrect result (86 rows): The problem is that it lists products with no history rows, though the reasons are interesting.  The COUNT_BIG(*) in the EXISTS clause is a scalar aggregate (meaning there is no GROUP BY clause) and scalar aggregates always produce a value, even when the input is an empty set.  In the case of the COUNT aggregate, the result of aggregating the empty set is zero (the other standard aggregates produce a NULL).  To make the point really clear, let’s look at product 709, which happens to be one for which no history rows exist: -- Scalar aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709;   -- Vector aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709 GROUP BY th.ProductID; The estimated execution plans for these two statements are almost identical: You might expect the Stream Aggregate to have a Group By for the second statement, but this is not the case.  The query includes an equality comparison to a constant value (709), so all qualified rows are guaranteed to have the same value for ProductID and the Group By is optimized away. In fact there are some minor differences between the two plans (the first is auto-parameterized and qualifies for trivial plan, whereas the second is not auto-parameterized and requires cost-based optimization), but there is nothing to indicate that one is a scalar aggregate and the other is a vector aggregate.  This is something I would like to see exposed in show plan so I suggested it on Connect.  Anyway, the results of running the two queries show the difference at runtime: The scalar aggregate (no GROUP BY) returns a result of zero, whereas the vector aggregate (with a GROUP BY clause) returns nothing at all.  Returning to our EXISTS query, we could ‘fix’ it by changing the HAVING clause to reject rows where the scalar aggregate returns zero: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) BETWEEN 1 AND 9 ); The query now returns the correct 23 rows: Unfortunately, the execution plan is less efficient now – it has an estimated cost of 0.78 compared to 0.33 for the earlier plans.  Let’s try adding a redundant GROUP BY instead of changing the HAVING clause: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY th.ProductID HAVING COUNT_BIG(*) < 10 ); Not only do we now get correct results (23 rows), this is the execution plan: I like to compare that plan to quantum physics: if you don’t find it shocking, you haven’t understood it properly :)  The simple addition of a redundant GROUP BY has resulted in the EXISTS form of the query being transformed into exactly the same optimal plan we found earlier.  What’s more, in SQL Server 2008 and later, we can replace the odd-looking GROUP BY with an explicit GROUP BY on the empty set: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ); I offer that as an alternative because some people find it more intuitive (and it perhaps has more geek value too).  Whichever way you prefer, it’s rather satisfying to note that the result of the sub-query does not exist for a particular correlated value where a vector aggregate is used (the scalar COUNT aggregate always returns a value, even if zero, so it always ‘EXISTS’ regardless which ProductID is logically being evaluated). The following query forms also produce the optimal plan and correct results, so long as a vector aggregate is used (you can probably find more equivalent query forms): WHERE Clause SELECT p.Name FROM Production.Product AS p WHERE ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) < 10; APPLY SELECT p.Name FROM Production.Product AS p CROSS APPLY ( SELECT NULL FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ) AS ca (dummy); FROM Clause SELECT q1.Name FROM ( SELECT p.Name, cnt = ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) FROM Production.Product AS p ) AS q1 WHERE q1.cnt < 10; This last example uses SUM(1) instead of COUNT and does not require a vector aggregate…you should be able to work out why :) SELECT q.Name FROM ( SELECT p.Name, cnt = ( SELECT SUM(1) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID ) FROM Production.Product AS p ) AS q WHERE q.cnt < 10; The semantics of SQL aggregates are rather odd in places.  It definitely pays to get to know the rules, and to be careful to check whether your queries are using scalar or vector aggregates.  As we have seen, query plans do not show in which ‘mode’ an aggregate is running and getting it wrong can cause poor performance, wrong results, or both. © 2012 Paul White Twitter: @SQL_Kiwi email: [email protected]

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• Combination of Operating Mode and Commit Strategy

  - by Kevin Yang

  If you want to populate a source into multiple targets, you may also want to ensure that every row from the source affects all targets uniformly (or separately). Let’s consider the Example Mapping below. If a row from SOURCE causes different changes in multiple targets (TARGET_1, TARGET_2 and TARGET_3), for example, it can be successfully inserted into TARGET_1 and TARGET_3, but failed to be inserted into TARGET_2, and the current Mapping Property TLO (target load order) is “TARGET_1 -> TARGET_2 -> TARGET_3”. What should Oracle Warehouse Builder do, in order to commit the appropriate data to all affected targets at the same time? If it doesn’t behave as you intended, the data could become inaccurate and possibly unusable.                                               Example Mapping In OWB, we can use Mapping Configuration Commit Strategies and Operating Modes together to achieve this kind of requirements. Below we will explore the combination of these two features and how they affect the results in the target tables Before going to the example, let’s review some of the terms we will be using (Details can be found in white paper Oracle® Warehouse Builder Data Modeling, ETL, and Data Quality Guide11g Release 2): Operating Modes: Set-Based Mode: Warehouse Builder generates a single SQL statement that processes all data and performs all operations. Row-Based Mode: Warehouse Builder generates statements that process data row by row. The select statement is in a SQL cursor. All subsequent statements are PL/SQL. Row-Based (Target Only) Mode: Warehouse Builder generates a cursor select statement and attempts to include as many operations as possible in the cursor. For each target, Warehouse Builder inserts each row into the target separately. Commit Strategies: Automatic: Warehouse Builder loads and then automatically commits data based on the mapping design. If the mapping has multiple targets, Warehouse Builder commits and rolls back each target separately and independently of other targets. Use the automatic commit when the consequences of multiple targets being loaded unequally are not great or are irrelevant. Automatic correlated: It is a specialized type of automatic commit that applies to PL/SQL mappings with multiple targets only. Warehouse Builder considers all targets collectively and commits or rolls back data uniformly across all targets. Use the correlated commit when it is important to ensure that every row in the source affects all affected targets uniformly. Manual: select manual commit control for PL/SQL mappings when you want to interject complex business logic, perform validations, or run other mappings before committing data. Combination of the commit strategy and operating mode To understand the effects of each combination of operating mode and commit strategy, I’ll illustrate using the following example Mapping. Firstly we insert 100 rows into the SOURCE table and make sure that the 99th row and 100th row have the same ID value. And then we create a unique key constraint on ID column for TARGET_2 table. So while running the example mapping, OWB tries to load all 100 rows to each of the targets. But the mapping should fail to load the 100th row to TARGET_2, because it will violate the unique key constraint of table TARGET_2. With different combinations of Commit Strategy and Operating Mode, here are the results ¦ Set-based/ Correlated Commit: Configuration of Example mapping:                                                     Result:                                                      What’s happening: A single error anywhere in the mapping triggers the rollback of all data. OWB encounters the error inserting into Target_2, it reports an error for the table and does not load the row. OWB rolls back all the rows inserted into Target_1 and does not attempt to load rows to Target_3. No rows are added to any of the target tables. ¦ Row-based/ Correlated Commit: Configuration of Example mapping:                                                   Result:                                                  What’s happening: OWB evaluates each row separately and loads it to all three targets. Loading continues in this way until OWB encounters an error loading row 100th to Target_2. OWB reports the error and does not load the row. It rolls back the row 100th previously inserted into Target_1 and does not attempt to load row 100 to Target_3. Then, if there are remaining rows, OWB will continue loading them, resuming with loading rows to Target_1. The mapping completes with 99 rows inserted into each target. ¦ Set-based/ Automatic Commit: Configuration of Example mapping: Result: What’s happening: When OWB encounters the error inserting into Target_2, it does not load any rows and reports an error for the table. It does, however, continue to insert rows into Target_3 and does not roll back the rows previously inserted into Target_1. The mapping completes with one error message for Target_2, no rows inserted into Target_2, and 100 rows inserted into Target_1 and Target_3 separately. ¦ Row-based/Automatic Commit: Configuration of Example mapping: Result: What’s happening: OWB evaluates each row separately for loading into the targets. Loading continues in this way until OWB encounters an error loading row 100 to Target_2 and reports the error. OWB does not roll back row 100th from Target_1, does insert it into Target_3. If there are remaining rows, it will continue to load them. The mapping completes with 99 rows inserted into Target_2 and 100 rows inserted into each of the other targets. Note: Automatic Correlated commit is not applicable for row-based (target only). If you design a mapping with the row-based (target only) and correlated commit combination, OWB runs the mapping but does not perform the correlated commit. In set-based mode, correlated commit may impact the size of your rollback segments. Space for rollback segments may be a concern when you merge data (insert/update or update/insert). Correlated commit operates transparently with PL/SQL bulk processing code. The correlated commit strategy is not available for mappings run in any mode that are configured for Partition Exchange Loading or that include a Queue, Match Merge, or Table Function operator. If you want to practice in your own environment, you can follow the steps: 1. Import the MDL file: commit_operating_mode.mdl 2. Fix the location for oracle module ORCL and deploy all tables under it. 3. Insert sample records into SOURCE table, using below plsql code: begin     for i in 1..99     loop         insert into source values(i, 'col_'||i);     end loop;     insert into source values(99, 'col_99'); end; 4. Configure MAPPING_1 to any combinations of operating mode and commit strategy you want to test. And make sure feature TLO of mapping is open. 5. Deploy Mapping “MAPPING_1”. 6. Run the mapping and check the result.

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• How to archive data from a table to a local or remote database in SQL 2005 and SQL 2008

  - by simonsabin

  Often you have the need to archive data from a table. This leads to a number of challenges 1. How can you do it without impacting users 2. How can I make it transactionally consistent, i.e. the data I put in the archive is the data I remove from the main table 3. How can I get it to perform well Points 1 is very much tied to point 3. If it doesn't perform well then the delete of data is going to cause lots of locks and thus potentially blocking. For points 1 and 3 refer to my previous posts DELETE-TOP-x-rows-avoiding-a-table-scan and UPDATE-and-DELETE-TOP-and-ORDER-BY---Part2. In essence you need to be removing small chunks of data from your table and you want to do that avoiding a table scan. So that deals with the delete approach but archiving is about inserting that data somewhere else. Well in SQL 2008 they introduced a new feature INSERT over DML (Data Manipulation Language, i.e. SQL statements that change data), or composable DML. The ability to nest DML statements within themselves, so you can past the results of an insert to an update to a merge. I've mentioned this before here SQL-Server-2008---MERGE-and-optimistic-concurrency. This feature is currently limited to being able to consume the results of a DML statement in an INSERT statement. There are many restrictions which you can find here http://msdn.microsoft.com/en-us/library/ms177564.aspx look for the section "Inserting Data Returned From an OUTPUT Clause Into a Table" Even with the restrictions what we can do is consume the OUTPUT from a DELETE and INSERT the results into a table in another database. Note that in BOL it refers to not being able to use a remote table, remote means a table on another SQL instance. To show this working use this SQL to setup two databases foo and fooArchive create database foo go --create the source table fred in database foo select * into foo..fred from sys.objects go create database fooArchive go if object_id('fredarchive',DB_ID('fooArchive')) is null begin     select getdate() ArchiveDate,* into fooArchive..FredArchive from sys.objects where 1=2       end go And then we can use this simple statement to archive the data insert into fooArchive..FredArchive select getdate(),d.* from (delete top (1)         from foo..Fred         output deleted.*) d         go In this statement the delete can be any delete statement you wish so if you are deleting by ids or a range of values then you can do that. Refer to the DELETE-TOP-x-rows-avoiding-a-table-scan post to ensure that your delete is going to perform. The last thing you want to do is to perform 100 deletes each with 5000 records for each of those deletes to do a table scan. For a solution that works for SQL2005 or if you want to archive to a different server then you can use linked servers or SSIS. This example shows how to do it with linked servers. [ONARC-LAP03] is the source server. begin transaction insert into fooArchive..FredArchive select getdate(),d.* from openquery ([ONARC-LAP03],'delete top (1)                     from foo..Fred                     output deleted.*') d commit transaction and to prove the transactions work try, you should get the same number of records before and after. select (select count(1) from foo..Fred) fred        ,(select COUNT(1) from fooArchive..FredArchive ) fredarchive   begin transaction insert into fooArchive..FredArchive select getdate(),d.* from openquery ([ONARC-LAP03],'delete top (1)                     from foo..Fred                     output deleted.*') d rollback transaction   select (select count(1) from foo..Fred) fred        ,(select COUNT(1) from fooArchive..FredArchive ) fredarchive The transactions are very important with this solution. Look what happens when you don't have transactions and an error occurs   select (select count(1) from foo..Fred) fred        ,(select COUNT(1) from fooArchive..FredArchive ) fredarchive   insert into fooArchive..FredArchive select getdate(),d.* from openquery ([ONARC-LAP03],'delete top (1)                     from foo..Fred                     output deleted.*                     raiserror (''Oh doo doo'',15,15)') d                     select (select count(1) from foo..Fred) fred        ,(select COUNT(1) from fooArchive..FredArchive ) fredarchive Before running this think what the result would be. I got it wrong. What seems to happen is that the remote query is executed as a transaction, the error causes that to rollback. However the results have already been sent to the client and so get inserted into the

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• Converting projects to use Automatic NuGet restore

  - by terje

  Originally posted on: http://geekswithblogs.net/terje/archive/2014/06/11/converting-projects-to-use-automatic-nuget-restore.aspxDownload tool In version 2.7 of NuGet automatic nuget restore was introduced, meaning you no longer need to distort your msbuild project files with nuget target information.   Visual Studio and TFS 2013 build have this enabled by default.  However, if your project was created before this was introduced, and/or if you have used the “Enable NuGet Package Restore” afterwards, you now have a series of unwanted things in your projects, and a series of project files that have been modified – and – you no longer neither want nor need this !  You might also get into some unwanted issues due to these modifications.  This is a MSBuild modification that was needed only before NuGet 2.7 ! So: DON’T USE THIS FUNCTION !!! There is an issue https://nuget.codeplex.com/workitem/4019 on this on the NuGet project site to get this function removed, renamed or at least moved farther away from the top level (please help vote it up!).  The response seems to be that it WILL BE removed, around version 3.0. This function does nothing you need after the introduction of NuGet 2.7.  What is also unfortunate is the naming of it – it implies that it is needed, it is not, and what is worse, there is no corresponding function to remove what it does ! So to fix this use the tool named IFix, that will fix this issue for you   - all free of course, and the code is open source.  Also report issues there:  https://github.com/OsirisTerje/IFix    IFix information DOWNLOAD HERE This command line tool installs using an MSI, and add itself to the system path.  If you work in a team, you will probably need to use the  tool multiple times.  Anyone in the team may at any time use the “Enable NuGet Package Restore” function and mess up your project again.  The IFix program can be run either in a  check modus, where it does not write anything back – it only checks if you have any issues, or in a Fix mode, where it will also perform the necessary fixes for you. The IFix program is used like this: IFix <command> [-c/--check] [-f/--fix]  [-v/--verbose] The command in this case is “nugetrestore”.  It will do a check from the location where it is being called, and run through all subfolders from that location. So  “IFix nugetrestore  --check” , will do the check ,  and “IFix nugetrestore  --fix”  will perform the changes, for all files and folders below the current working directory. (Note that --check  can be replaced with only –c, and --fix with –f, and so on. ) BEWARE: When you run the fix option, all solutions to be affected must be closed in Visual Studio ! So, if you just want to DO it, then: IFix nugetrestore --check to see if you have issues then IFix nugetrestore  --fix to fix them. How does it work IFix nugetrestore  checks and optionally fixes four issues that the older enabling of nuget restore did.  The issues are related to the MSBuild projess, and are: Deleting the nuget.targets file. Deleting the nuget.exe that is located under the .nuget folder Removing all references to nuget.targets in the solution file Removing all properties and target imports of nuget.targets inside the csproj files. IFix fixes these issues in the same sequence. The first step, removing the nuget.targets file is the most critical one, and all instances of the nuget.targets file within the scope of a solution has to be removed, and in addition it has to be done with the solution closed in Visual Studio.  If Visual Studio finds a nuget.targets file, the csproj files will be automatically messed up again. This means the removal process above might need to be done multiple times, specially when you’re working with a team, and that solution context menu still has the “Enable NuGet Package Restore” function.  Someone on the team might inadvertently do this at any time. It can be a good idea to add this check to a checkin policy – if you run TFS standard version control, but that will have no effect if you use TFS Git version control of course. So, better be prepared to run the IFix check from time to time. Or, even better, install IFix on your build servers, and add a call to IFix nugetrestore --check in the TFS Build script.    How does it look As a first example I have run the IFix program from the top of a set of git repositories, so it spans multiple repositories with multiple solutions. The result from the check option is as follows: We see the four red lines, there is one for each of the four checks we talked about in the previous section. The fact that they are red, means we have that particular issue. The first section (above the first red text line) is the nuget targets section.  Notice  No.1, it says it has found no paths to copy.  What IFix does here is to check if there are any defined paths to other nuget galleries.  If there are, then those are copied over to the nuget.config file, where is where it should be in version 2.7 and above.   No.2 says it has found the particular nuget.targets file,  No.3  states it HAS found some other nuget galleries defines in the targets file, which then it would like to copy to the config.file. No.4 is the section for nuget.exe files, and list those it has found, and which it would like to delete. No 5 states it has found a reference to nuget.targets in the solution file.  This reference comes from the fact that the .nuget folder is a solution folder, and the items within are described in the solution file. It then checks the csproj files, and as can be seen from the last red line, it ha found issues in 96 out of 198 csproj files.  There are two possible issues in a csproj files.  No.6 is the first one, and the most common and most important one, an “Import project” section.  This is the section that calls the nuget.targets files.  No.7 is another issue, which seems to sometimes be there, sometimes not, it is a RestorePackages property, which also should go away. Now, if we run the IFix nugetrestore –fix command, and then the check again after that, the result is: All green !

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• SSIS: Deploying OLAP cubes using C# script tasks and AMO

  - by DrJohn

  As part of the continuing series on Building dynamic OLAP data marts on-the-fly, this blog entry will focus on how to automate the deployment of OLAP cubes using SQL Server Integration Services (SSIS) and Analysis Services Management Objects (AMO). OLAP cube deployment is usually done using the Analysis Services Deployment Wizard. However, this option was dismissed for a variety of reasons. Firstly, invoking external processes from SSIS is fraught with problems as (a) it is not always possible to ensure SSIS waits for the external program to terminate; (b) we cannot log the outcome properly and (c) it is not always possible to control the server's configuration to ensure the executable works correctly. Another reason for rejecting the Deployment Wizard is that it requires the 'answers' to be written into four XML files. These XML files record the three things we need to change: the name of the server, the name of the OLAP database and the connection string to the data mart. Although it would be reasonably straight forward to change the content of the XML files programmatically, this adds another set of complication and level of obscurity to the overall process. When I first investigated the possibility of using C# to deploy a cube, I was surprised to find that there are no other blog entries about the topic. I can only assume everyone else is happy with the Deployment Wizard! SSIS "forgets" assembly references If you build your script task from scratch, you will have to remember how to overcome one of the major annoyances of working with SSIS script tasks: the forgetful nature of SSIS when it comes to assembly references. Basically, you can go through the process of adding an assembly reference using the Add Reference dialog, but when you close the script window, SSIS "forgets" the assembly reference so the script will not compile. After repeating the operation several times, you will find that SSIS only remembers the assembly reference when you specifically press the Save All icon in the script window. This problem is not unique to the AMO assembly and has certainly been a "feature" since SQL Server 2005, so I am not amazed it is still present in SQL Server 2008 R2! Sample Package So let's take a look at the sample SSIS package I have provided which can be downloaded from here: DeployOlapCubeExample.zip  Below is a screenshot after a successful run. Connection Managers The package has three connection managers: AsDatabaseDefinitionFile is a file connection manager pointing to the .asdatabase file you wish to deploy. Note that this can be found in the bin directory of you OLAP database project once you have clicked the "Build" button in Visual Studio TargetOlapServerCS is an Analysis Services connection manager which identifies both the deployment server and the target database name. SourceDataMart is an OLEDB connection manager pointing to the data mart which is to act as the source of data for your cube. This will be used to replace the connection string found in your .asdatabase file Once you have configured the connection managers, the sample should run and deploy your OLAP database in a few seconds. Of course, in a production environment, these connection managers would be associated with package configurations or set at runtime. When you run the sample, you should see that the script logs its activity to the output screen (see screenshot above). If you configure logging for the package, then these messages will also appear in your SSIS logging. Sample Code Walkthrough Next let's walk through the code. The first step is to parse the connection string provided by the TargetOlapServerCS connection manager and obtain the name of both the target OLAP server and also the name of the OLAP database. Note that the target database does not have to exist to be referenced in an AS connection manager, so I am using this as a convenient way to define both properties. We now connect to the server and check for the existence of the OLAP database. If it exists, we drop the database so we can re-deploy. svr.Connect(olapServerName); if (svr.Connected) { // Drop the OLAP database if it already exists Database db = svr.Databases.FindByName(olapDatabaseName); if (db != null) { db.Drop(); } // rest of script } Next we start building the XMLA command that will actually perform the deployment. Basically this is a small chuck of XML which we need to wrap around the large .asdatabase file generated by the Visual Studio build process. // Start generating the main part of the XMLA command XmlDocument xmlaCommand = new XmlDocument(); xmlaCommand.LoadXml(string.Format("<Batch Transaction='false' xmlns='http://schemas.microsoft.com/analysisservices/2003/engine'><Alter AllowCreate='true' ObjectExpansion='ExpandFull'><Object><DatabaseID>{0}</DatabaseID></Object><ObjectDefinition/></Alter></Batch>", olapDatabaseName));  Next we need to merge two XML files which we can do by simply using setting the InnerXml property of the ObjectDefinition node as follows: // load OLAP Database definition from .asdatabase file identified by connection manager XmlDocument olapCubeDef = new XmlDocument(); olapCubeDef.Load(Dts.Connections["AsDatabaseDefinitionFile"].ConnectionString); // merge the two XML files by obtain a reference to the ObjectDefinition node oaRootNode.InnerXml = olapCubeDef.InnerXml;   One hurdle I had to overcome was removing detritus from the .asdabase file left by the Visual Studio build. Through an iterative process, I found I needed to remove several nodes as they caused the deployment to fail. The XMLA error message read "Cannot set read-only node: CreatedTimestamp" or similar. In comparing the XMLA generated with by the Deployment Wizard with that generated by my code, these read-only nodes were missing, so clearly I just needed to strip them out. This was easily achieved using XPath to find the relevant XML nodes, of which I show one example below: foreach (XmlNode node in rootNode.SelectNodes("//ns1:CreatedTimestamp", nsManager)) { node.ParentNode.RemoveChild(node); } Now we need to change the database name in both the ID and Name nodes using code such as: XmlNode databaseID = xmlaCommand.SelectSingleNode("//ns1:Database/ns1:ID", nsManager); if (databaseID != null) databaseID.InnerText = olapDatabaseName; Finally we need to change the connection string to point at the relevant data mart. Again this is easily achieved using XPath to search for the relevant nodes and then replace the content of the node with the new name or connection string. XmlNode connectionStringNode = xmlaCommand.SelectSingleNode("//ns1:DataSources/ns1:DataSource/ns1:ConnectionString", nsManager); if (connectionStringNode != null) { connectionStringNode.InnerText = Dts.Connections["SourceDataMart"].ConnectionString; } Finally we need to perform the deployment using the Execute XMLA command and check the returned XmlaResultCollection for errors before setting the Dts.TaskResult. XmlaResultCollection oResults = svr.Execute(xmlaCommand.InnerXml);  // check for errors during deployment foreach (Microsoft.AnalysisServices.XmlaResult oResult in oResults) { foreach (Microsoft.AnalysisServices.XmlaMessage oMessage in oResult.Messages) { if ((oMessage.GetType().Name == "XmlaError")) { FireError(oMessage.Description); HadError = true; } } } If you are not familiar with XML programming, all this may all seem a bit daunting, but perceiver as the sample code is pretty short. If you would like the script to process the OLAP database, simply uncomment the lines in the vicinity of Process method. Of course, you can extend the script to perform your own custom processing and to even synchronize the database to a front-end server. Personally, I like to keep the deployment and processing separate as the code can become overly complex for support staff.If you want to know more, come see my session at the forthcoming SQLBits conference.

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• CodePlex Daily Summary for Tuesday, July 02, 2013

  CodePlex Daily Summary for Tuesday, July 02, 2013Popular ReleasesMastersign.Expressions: Mastersign.Expressions v0.4.2: added support for if(<cond>, <true-part>, <false-part>) fixed multithreading issue with rand() improved demo applicationNB_Store - Free DotNetNuke Ecommerce Catalog Module: NB_Store v2.3.6 Rel0: v2.3.6 Is now DNN6 and DNN7 compatible Important : During update this install with overwrite the menu.xml setting, if you have changed this then make a backup before you upgrade and reapply your changes after the upgrade. Please view the following documentation if you are installing and configuring this module for the first time System Requirements Skill requirements Downloads and documents Step by step guide to a working store Please ask all questions in the Discussions tab. Document.Editor: 2013.26: What's new for Document.Editor 2013.26: New Insert Chart Improved User Interface Minor Bug Fix's, improvements and speed upsWsus Package Publisher: Release V1.2.1307.01: Fix an issue in the UI, approvals are not shown correctly in the 'Report' tabDirectX Tool Kit: July 2013: July 1, 2013 VS 2013 Preview projects added and updates for DirectXMath 3.05 vectorcall Added use of sRGB WIC metadata for JPEG, PNG, and TIFF SaveToWIC functions updated with new optional setCustomProps parameter and error check with optional targetFormatCore Server 2012 Powershell Script Hyper-v Manager: new_root.zip: Verison 1.0JSON Toolkit: JSON Toolkit 4.1.736: Improved strinfigy performance New serializing feature New anonymous type support in constructorsDotNetNuke® IFrame: IFrame 04.05.00: New DNN6/7 Manifest file and Azure Compatibility.VidCoder: 1.5.2 Beta: Fixed crash on presets with an invalid bitrate.Gardens Point LEX: Gardens Point LEX version 1.2.1: The main distribution is a zip file. This contains the binary executable, documentation, source code and the examples. ChangesVersion 1.2.1 has new facilities for defining and manipulating character classes. These changes make the construction of large Unicode character classes more convenient. The runtime code for performing automaton backup has been re-implemented, and is now faster for scanners that need backup. Source CodeThe distribution contains a complete VS2010 project for the appli...ZXMAK2: Version 2.7.5.7: - fix TZX emulation (Bruce Lee, Zynaps) - fix ATM 16 colors for border - add memory module PROFI 512K; add PROFI V03 rom image; fix PROFI 3.XX configTwitter image Downloader: Twitter Image Downloader 2 with Installer: Application file with Install shield and Dot Net 4.0 redistributableUltimate Music Tagger: Ultimate Music Tagger 1.0.0.0: First release of Ultimate Music TaggerBlackJumboDog: Ver5.9.2: 2013.06.28 Ver5.9.2 (1) ??????????(????SMTP?????)?????????? (2) HTTPS???????????Outlook 2013 Add-In: Configuration Form: This new version includes the following changes: - Refactored code a bit. - Removing configuration from main form to gain more space to display items. - Moved configuration to separate form. You can click the little "gear" icon to access the configuration form (still very simple). - Added option to show past day appointments from the selected day (previous in time, that is). - Added some tooltips. You will have to uninstall the previous version (add/remove programs) if you had installed it ...Terminals: Version 3.0 - Release: Changes since version 2.0:Choose 100% portable or installed version Removed connection warning when running RDP 8 (Windows 8) client Fixed Active directory search Extended Active directory search by LDAP filters Fixed single instance mode when running on Windows Terminal server Merged usage of Tags and Groups Added columns sorting option in tables No UAC prompts on Windows 7 Completely new file persistence data layer New MS SQL persistence layer (Store data in SQL database)...NuGet: NuGet 2.6: Released June 26, 2013. Release notes: http://docs.nuget.org/docs/release-notes/nuget-2.6Python Tools for Visual Studio: 2.0 Beta: We’re pleased to announce the release of Python Tools for Visual Studio 2.0 Beta. Python Tools for Visual Studio (PTVS) is an open-source plug-in for Visual Studio which supports programming with the Python language. PTVS supports a broad range of features including CPython/IronPython, Edit/Intellisense/Debug/Profile, Cloud, HPC, IPython, and cross platform debugging support. For a quick overview of the general IDE experience, please watch this video: http://www.youtube.com/watch?v=TuewiStN...Player Framework by Microsoft: Player Framework for Windows 8 and WP8 (v1.3 beta): Preview: New MPEG DASH adaptive streaming plugin for Windows Azure Media Services Preview: New Ultraviolet CFF plugin. Preview: New WP7 version with WP8 compatibility. (source code only) Source code is now available via CodePlex Git Misc bug fixes and improvements: WP8 only: Added optional fullscreen and mute buttons to default xaml JS only: protecting currentTime from returning infinity. Some videos would cause currentTime to be infinity which could cause errors in plugins expectin...AssaultCube Reloaded: 2.5.8: SERVER OWNERS: note that the default maprot has changed once again. Linux has Ubuntu 11.10 32-bit precompiled binaries and Ubuntu 10.10 64-bit precompiled binaries, but you can compile your own as it also contains the source. If you are using Mac or other operating systems, please wait while we continue to try to package for those OSes. Or better yet, try to compile it. If it fails, download a virtual machine. The server pack is ready for both Windows and Linux, but you might need to compi...New ProjectsALM Rangers DevOps Tooling and Guidance: Practical tooling and guidance that will enable teams to realize a faster deployment based on continuous feedback.Core Server 2012 Powershell Script Hyper-v Manager: Free core Server 2012 powershell scripts and batch files that replace the non-existent hyper-v manager, vmconnect and mstsc.Enhanced Deployment Service (EDS): EDS is a web service based utility designed to extend the deployment capabilities of administrators with the Microsoft Deployment Toolkit.ExtendedDialogBox: Libreria DialogBoxJazdy: This project is here only because we wanted to take advantage of a public git server.Mon Examen: This web interface is meant to make examinationsneet: summaryOrchard Multi-Choice Voting: A multiple choice voting Orchard module.Particle Swarm Optimization Solving Quadratic Assignment Problem: This project is submitted for the solving of QAP using PSO algorithms with addition of some modification Porjects: 23123123PPL Power Pack: PPL Power PackProperty Builder: Visual Studio tool for speeding up process of coding class properties getters and setters.RedRuler for Redline: I tried some on-screen rulers, none of them help me measure the UI element quickly based on the Redline. So I decided to created this handy RedRuler tool. Royale Living: Mahindra Royale Community PortalSearch and booking Hotel or Tours: Ð? án nghiên c?u c?a sinh viên tdt theo mô hình mvc 4SystemBuilder.Show: This tool is a helper after you create your project in visual studio to create the respective objects and interface. TalentDesk: new ptojectTcmplex: The Training Center teaches many different kind of course such as English, French, Computer hardware and computer softwareTFS Reporting Guide: Provides guidance and samples to enable TFS users to generate reports based on WIT data.Umbraco AdaptiveImages: Adaptive Images Package for UmbracoVirtualNet - A ILcode interpreter/emulator written in C++/Assembly: VirtualNet is a interpreter/emulator for running .net code in native without having to install the .Net FrameWorkVisual Blocks: Visual Blocks ????IDE ????? ??????? ????? ????/?? Visual Studio and Cloud Based Mobile Device Testing: Practical guidance enabling field to remove blockers to adoption and to use and extend the Perfecto Mobile Cloud Device testing within the context of VS.Windows 8 Time Picker for Windows Phone: A Windows Phone implementation of the Time Picker control found in the Windows 8.1 Alarms app.???? - SmallBasic?: ?????????

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• Fun with Aggregates

  - by Paul White

  There are interesting things to be learned from even the simplest queries.  For example, imagine you are given the task of writing a query to list AdventureWorks product names where the product has at least one entry in the transaction history table, but fewer than ten. One possible query to meet that specification is: SELECT p.Name FROM Production.Product AS p JOIN Production.TransactionHistory AS th ON p.ProductID = th.ProductID GROUP BY p.ProductID, p.Name HAVING COUNT_BIG(*) < 10; That query correctly returns 23 rows (execution plan and data sample shown below): The execution plan looks a bit different from the written form of the query: the base tables are accessed in reverse order, and the aggregation is performed before the join.  The general idea is to read all rows from the history table, compute the count of rows grouped by ProductID, merge join the results to the Product table on ProductID, and finally filter to only return rows where the count is less than ten. This ‘fully-optimized’ plan has an estimated cost of around 0.33 units.  The reason for the quote marks there is that this plan is not quite as optimal as it could be – surely it would make sense to push the Filter down past the join too?  To answer that, let’s look at some other ways to formulate this query.  This being SQL, there are any number of ways to write logically-equivalent query specifications, so we’ll just look at a couple of interesting ones.  The first query is an attempt to reverse-engineer T-SQL from the optimized query plan shown above.  It joins the result of pre-aggregating the history table to the Product table before filtering: SELECT p.Name FROM ( SELECT th.ProductID, cnt = COUNT_BIG(*) FROM Production.TransactionHistory AS th GROUP BY th.ProductID ) AS q1 JOIN Production.Product AS p ON p.ProductID = q1.ProductID WHERE q1.cnt < 10; Perhaps a little surprisingly, we get a slightly different execution plan: The results are the same (23 rows) but this time the Filter is pushed below the join!  The optimizer chooses nested loops for the join, because the cardinality estimate for rows passing the Filter is a bit low (estimate 1 versus 23 actual), though you can force a merge join with a hint and the Filter still appears below the join.  In yet another variation, the < 10 predicate can be ‘manually pushed’ by specifying it in a HAVING clause in the “q1” sub-query instead of in the WHERE clause as written above. The reason this predicate can be pushed past the join in this query form, but not in the original formulation is simply an optimizer limitation – it does make efforts (primarily during the simplification phase) to encourage logically-equivalent query specifications to produce the same execution plan, but the implementation is not completely comprehensive. Moving on to a second example, the following query specification results from phrasing the requirement as “list the products where there exists fewer than ten correlated rows in the history table”: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) < 10 ); Unfortunately, this query produces an incorrect result (86 rows): The problem is that it lists products with no history rows, though the reasons are interesting.  The COUNT_BIG(*) in the EXISTS clause is a scalar aggregate (meaning there is no GROUP BY clause) and scalar aggregates always produce a value, even when the input is an empty set.  In the case of the COUNT aggregate, the result of aggregating the empty set is zero (the other standard aggregates produce a NULL).  To make the point really clear, let’s look at product 709, which happens to be one for which no history rows exist: -- Scalar aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709;   -- Vector aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709 GROUP BY th.ProductID; The estimated execution plans for these two statements are almost identical: You might expect the Stream Aggregate to have a Group By for the second statement, but this is not the case.  The query includes an equality comparison to a constant value (709), so all qualified rows are guaranteed to have the same value for ProductID and the Group By is optimized away. In fact there are some minor differences between the two plans (the first is auto-parameterized and qualifies for trivial plan, whereas the second is not auto-parameterized and requires cost-based optimization), but there is nothing to indicate that one is a scalar aggregate and the other is a vector aggregate.  This is something I would like to see exposed in show plan so I suggested it on Connect.  Anyway, the results of running the two queries show the difference at runtime: The scalar aggregate (no GROUP BY) returns a result of zero, whereas the vector aggregate (with a GROUP BY clause) returns nothing at all.  Returning to our EXISTS query, we could ‘fix’ it by changing the HAVING clause to reject rows where the scalar aggregate returns zero: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) BETWEEN 1 AND 9 ); The query now returns the correct 23 rows: Unfortunately, the execution plan is less efficient now – it has an estimated cost of 0.78 compared to 0.33 for the earlier plans.  Let’s try adding a redundant GROUP BY instead of changing the HAVING clause: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY th.ProductID HAVING COUNT_BIG(*) < 10 ); Not only do we now get correct results (23 rows), this is the execution plan: I like to compare that plan to quantum physics: if you don’t find it shocking, you haven’t understood it properly :)  The simple addition of a redundant GROUP BY has resulted in the EXISTS form of the query being transformed into exactly the same optimal plan we found earlier.  What’s more, in SQL Server 2008 and later, we can replace the odd-looking GROUP BY with an explicit GROUP BY on the empty set: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ); I offer that as an alternative because some people find it more intuitive (and it perhaps has more geek value too).  Whichever way you prefer, it’s rather satisfying to note that the result of the sub-query does not exist for a particular correlated value where a vector aggregate is used (the scalar COUNT aggregate always returns a value, even if zero, so it always ‘EXISTS’ regardless which ProductID is logically being evaluated). The following query forms also produce the optimal plan and correct results, so long as a vector aggregate is used (you can probably find more equivalent query forms): WHERE Clause SELECT p.Name FROM Production.Product AS p WHERE ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) < 10; APPLY SELECT p.Name FROM Production.Product AS p CROSS APPLY ( SELECT NULL FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ) AS ca (dummy); FROM Clause SELECT q1.Name FROM ( SELECT p.Name, cnt = ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) FROM Production.Product AS p ) AS q1 WHERE q1.cnt < 10; This last example uses SUM(1) instead of COUNT and does not require a vector aggregate…you should be able to work out why :) SELECT q.Name FROM ( SELECT p.Name, cnt = ( SELECT SUM(1) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID ) FROM Production.Product AS p ) AS q WHERE q.cnt < 10; The semantics of SQL aggregates are rather odd in places.  It definitely pays to get to know the rules, and to be careful to check whether your queries are using scalar or vector aggregates.  As we have seen, query plans do not show in which ‘mode’ an aggregate is running and getting it wrong can cause poor performance, wrong results, or both. © 2012 Paul White Twitter: @SQL_Kiwi email: [email protected]

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• ?12c database ????Adaptive Execution Plans ????????

  - by Liu Maclean(???)

  12c R1 ????SQL??????- Adaptive Execution Plans ????????,???????optimizer ??????(runtime)???????????????, ????????????????????? SQL???????? ????????????, ?????????????????????????????????????????????????????????????adaptive plan ????????????????????????????????????,?????subplan???????????????????? ??????, ???????? ???????????????,?????????, ?????? ???????????????”???”????, ???????????????????buffer ???????  ????????????,?????,??????????????????? ???optimizer ?????????????????????????,?????????????????????????????????????????plan???? ??12C?????????????, ???????????????????,?????? ???????????? ????????????2???: Dynamic Plans????: ???????????????????????;??????,???optimizer??????????subplans??????????????, ???????????????????,?????????????? Reoptimization????: ?Dynamic Plans????,Reoptimization??????????????????????Reoptimization??,?????????????????????????,??reoptimization????? OPTIMIZER_ADAPTIVE_REPORTING_ONLY ???? report-only????????????????TRUE,?????????report-only????,???????????????,??????????????? Dynamic Plans ??????????????,????????????????????????, ?????????????,???????????,????????????????????????????????????????? ?????????????final plan??????????????default plan, ??final plan?default plan???????,????????????? subplan ???????????????,???????????????????????? ??????,???????statistics collector ?buffer???????????statistics collector?????????????????,???????????????????????????? ?????????????????????????????????????????,??????????,?????????????? ???????????,???????buffer???? ???????????????,?????????????????????????????,??????buffer,??????final plan? ????????,???????????????????????,????????????????? ?V$SQL??????IS_RESOLVED_DYNAMIC_PLAN??????????final plan???default plan? ??????dynamic plan ???????SQL PLAN directives?????? declare cursor PLAN_DIRECTIVE_IDS is select directive_id from DBA_SQL_PLAN_DIRECTIVES; begin for z in PLAN_DIRECTIVE_IDS loop DBMS_SPD.DROP_SQL_PLAN_DIRECTIVE(z.directive_id); end loop; end; / explain plan for select /*MALCEAN*/ product_name from oe.order_items o, oe.product_information p where o.unit_price=15 and quantity>1 and p.product_id=o.product_id; select * from table(dbms_xplan.display()); Plan hash value: 1255158658 www.askmaclean.com ------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 4 | 128 | 7 (0)| 00:00:01 | | 1 | NESTED LOOPS | | | | | | | 2 | NESTED LOOPS | | 4 | 128 | 7 (0)| 00:00:01 | |* 3 | TABLE ACCESS FULL | ORDER_ITEMS | 4 | 48 | 3 (0)| 00:00:01 | |* 4 | INDEX UNIQUE SCAN | PRODUCT_INFORMATION_PK | 1 | | 0 (0)| 00:00:01 | | 5 | TABLE ACCESS BY INDEX ROWID| PRODUCT_INFORMATION | 1 | 20 | 1 (0)| 00:00:01 | ------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 3 - filter("O"."UNIT_PRICE"=15 AND "QUANTITY">1) 4 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID") alter session set events '10053 trace name context forever,level 1'; OR alter session set events 'trace[SQL_Plan_Directive] disk highest'; select /*MALCEAN*/ product_name from oe.order_items o, oe.product_information p where o.unit_price=15 and quantity>1 and p.product_id=o.product_id; ---------------------------------------------------------------+-----------------------------------+ | Id | Operation | Name | Rows | Bytes | Cost | Time | ---------------------------------------------------------------+-----------------------------------+ | 0 | SELECT STATEMENT | | | | 7 | | | 1 | HASH JOIN | | 4 | 128 | 7 | 00:00:01 | | 2 | NESTED LOOPS | | | | | | | 3 | NESTED LOOPS | | 4 | 128 | 7 | 00:00:01 | | 4 | STATISTICS COLLECTOR | | | | | | | 5 | TABLE ACCESS FULL | ORDER_ITEMS | 4 | 48 | 3 | 00:00:01 | | 6 | INDEX UNIQUE SCAN | PRODUCT_INFORMATION_PK| 1 | | 0 | | | 7 | TABLE ACCESS BY INDEX ROWID | PRODUCT_INFORMATION | 1 | 20 | 1 | 00:00:01 | | 8 | TABLE ACCESS FULL | PRODUCT_INFORMATION | 1 | 20 | 1 | 00:00:01 | ---------------------------------------------------------------+-----------------------------------+ Predicate Information: ---------------------- 1 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID") 5 - filter(("O"."UNIT_PRICE"=15 AND "QUANTITY">1)) 6 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID") ===================================== SPD: BEGIN context at statement level ===================================== Stmt: ******* UNPARSED QUERY IS ******* SELECT /*+ OPT_ESTIMATE (@"SEL$1" JOIN ("P"@"SEL$1" "O"@"SEL$1") ROWS=13.000000 ) OPT_ESTIMATE (@"SEL$1" TABLE "O"@"SEL$1" ROWS=13.000000 ) */ "P"."PRODUCT_NAME" "PRODUCT_NAME" FROM "OE"."ORDER_ITEMS" "O","OE"."PRODUCT_INFORMATION" "P" WHERE "O"."UNIT_PRICE"=15 AND "O"."QUANTITY">1 AND "P"."PRODUCT_ID"="O"."PRODUCT_ID" Objects referenced in the statement PRODUCT_INFORMATION[P] 92194, type = 1 ORDER_ITEMS[O] 92197, type = 1 Objects in the hash table Hash table Object 92197, type = 1, ownerid = 6573730143572393221: No Dynamic Sampling Directives for the object Hash table Object 92194, type = 1, ownerid = 17822962561575639002: No Dynamic Sampling Directives for the object Return code in qosdInitDirCtx: ENBLD =================================== SPD: END context at statement level =================================== ======================================= SPD: BEGIN context at query block level ======================================= Query Block SEL$1 (#0) Return code in qosdSetupDirCtx4QB: NOCTX ===================================== SPD: END context at query block level ===================================== SPD: Return code in qosdDSDirSetup: NOCTX, estType = TABLE SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92197, objtyp = 1, vecsize = 6, colvec = [4, 5, ], fid = 2896834833840853267 SPD: Inserted felem, fid=2896834833840853267, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = YES, keep = YES SPD: qosdCreateFindingSingTab retCode = CREATED, fid = 2896834833840853267 SPD: qosdCreateDirCmp retCode = CREATED, fid = 2896834833840853267 SPD: Return code in qosdDSDirSetup: NOCTX, estType = TABLE SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = JOIN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SKIP_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = JOIN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92197, objtyp = 1, vecsize = 6, colvec = [4, 5, ], fid = 2896834833840853267 SPD: Modified felem, fid=2896834833840853267, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = YES, keep = YES SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92194, objtyp = 1, vecsize = 2, colvec = [1, ], fid = 5618517328604016300 SPD: Modified felem, fid=5618517328604016300, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = NO, keep = NO SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92194, objtyp = 1, vecsize = 2, colvec = [1, ], fid = 1142802697078608149 SPD: Modified felem, fid=1142802697078608149, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = NO, keep = NO SPD: Generating finding id: type = 1, reason = 2, objcnt = 2, obItr = 0, objid = 92194, objtyp = 1, vecsize = 0, obItr = 1, objid = 92197, objtyp = 1, vecsize = 0, fid = 1437680122701058051 SPD: Modified felem, fid=1437680122701058051, ftype = 1, freason = 2, dtype = 0, dstate = 0, dflag = 0, ver = NO, keep = NO select * from table(dbms_xplan.display_cursor(format=>'report')) ; ????report????adaptive plan Adaptive plan: ------------- This cursor has an adaptive plan, but adaptive plans are enabled for reporting mode only.  The plan that would be executed if adaptive plans were enabled is displayed below. ------------------------------------------------------------------------------------------ | Id  | Operation          | Name                | Rows  | Bytes | Cost (%CPU)| Time     | ------------------------------------------------------------------------------------------ |   0 | SELECT STATEMENT   |                     |       |       |     7 (100)|          | |*  1 |  HASH JOIN         |                     |     4 |   128 |     7   (0)| 00:00:01 | |*  2 |   TABLE ACCESS FULL| ORDER_ITEMS         |     4 |    48 |     3   (0)| 00:00:01 | |   3 |   TABLE ACCESS FULL| PRODUCT_INFORMATION |     1 |    20 |     1   (0)| 00:00:01 | ------------------------------------------------------------------------------------------ SQL> select SQL_ID,IS_RESOLVED_DYNAMIC_PLAN,sql_text from v$SQL WHERE SQL_TEXT like '%MALCEAN%' and sql_text not like '%like%'; SQL_ID IS -------------------------- -- SQL_TEXT -------------------------------------------------------------------------------- 6ydj1bn1bng17 Y select /*MALCEAN*/ product_name from oe.order_items o, oe.product_information p where o.unit_price=15 and quantity>1 and p.product_id=o.product_id ???? explain plan for ????default plan, ??????optimizer???final plan,??V$SQL.IS_RESOLVED_DYNAMIC_PLAN???Y,????????????? DBA_SQL_PLAN_DIRECTIVES?????????????SQL PLAN DIRECTIVES, ???12c? ???MMON?????DML ???column usage??????????,????SMON??? MMON????SGA??PLAN DIRECTIVES??? ?????DBMS_SPD.flush_sql_plan_directive???? select directive_id,type,reason from DBA_SQL_PLAN_DIRECTIVES / DIRECTIVE_ID TYPE REASON ----------------------------------- -------------------------------- ----------------------------- 10321283028317893030 DYNAMIC_SAMPLING JOIN CARDINALITY MISESTIMATE 4757086536465754886 DYNAMIC_SAMPLING JOIN CARDINALITY MISESTIMATE 16085268038103121260 DYNAMIC_SAMPLING JOIN CARDINALITY MISESTIMATE SQL> set pages 9999 SQL> set lines 300 SQL> col state format a5 SQL> col subobject_name format a11 SQL> col col_name format a11 SQL> col object_name format a13 SQL> select d.directive_id, o.object_type, o.object_name, o.subobject_name col_name, d.type, d.state, d.reason 2 from dba_sql_plan_directives d, dba_sql_plan_dir_objects o 3 where d.DIRECTIVE_ID=o.DIRECTIVE_ID 4 and o.object_name in ('ORDER_ITEMS') 5 order by d.directive_id; DIRECTIVE_ID OBJECT_TYPE OBJECT_NAME COL_NAME TYPE STATE REASON ------------ ------------ ------------- ----------- -------------------------------- ----- ------------------------------------- --- 1.8156E+19 COLUMN ORDER_ITEMS UNIT_PRICE DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE 1.8156E+19 TABLE ORDER_ITEMS DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE 1.8156E+19 COLUMN ORDER_ITEMS QUANTITY DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE DBA_SQL_PLAN_DIRECTIVES????? _BASE_OPT_DIRECTIVE ? _BASE_OPT_FINDING SELECT d.dir_own#, d.dir_id, d.f_id, decode(type, 1, 'DYNAMIC_SAMPLING', 'UNKNOWN'), decode(state, 1, 'NEW', 2, 'MISSING_STATS', 3, 'HAS_STATS', 4, 'CANDIDATE', 5, 'PERMANENT', 6, 'DISABLED', 'UNKNOWN'), decode(bitand(flags, 1), 1, 'YES', 'NO'), cast(d.created as timestamp), cast(d.last_modified as timestamp), -- Please see QOSD_DAYS_TO_UPDATE and QOSD_PLUS_SECONDS for more details -- about 6.5 cast(d.last_used as timestamp) - NUMTODSINTERVAL(6.5, 'day') FROM sys.opt_directive$ d ??dbms_spd??? SQL PLAN DIRECTIVES, SQL PLAN DIRECTIVES???retention ???53?: Package: DBMS_SPD This package provides subprograms for managing Sql Plan Directives(SPD). SPD are objects generated automatically by Oracle server. For example, if server detects that the single table cardinality estimated by optimizer is off from the actual number of rows returned when accessing the table, it will automatically create a directive to do dynamic sampling for the table. When any Sql statement referencing the table is compiled, optimizer will perform dynamic sampling for the table to get more accurate estimate. Notes: DBMSL_SPD is a invoker-rights package. The invoker requires ADMINISTER SQL MANAGEMENT OBJECT privilege for executing most of the subprograms of this package. Also the subprograms commit the current transaction (if any), perform the operation and commit it again. DBA view dba_sql_plan_directives shows all the directives created in the system and the view dba_sql_plan_dir_objects displays the objects that are included in the directives. -- Default value for SPD_RETENTION_WEEKS SPD_RETENTION_WEEKS_DEFAULT CONSTANT varchar2(4) := '53'; | STATE : NEW : Newly created directive. | : MISSING_STATS : The directive objects do not | have relevant stats. | : HAS_STATS : The objects have stats. | : PERMANENT : A permanent directive. Server | evaluated effectiveness and these | directives are useful. | | AUTO_DROP : YES : Directive will be dropped | automatically if not | used for SPD_RETENTION_WEEKS. | This is the default behavior. | NO : Directive will not be dropped | automatically. Procedure: flush_sql_plan_directive This procedure allows manually flushing the Sql Plan directives that are automatically recorded in SGA memory while executing sql statements. The information recorded in SGA are periodically flushed by oracle background processes. This procedure just provides a way to flush the information manually. ????”_optimizer_dynamic_plans”(enable dynamic plans)????????,???TRUE??DYNAMIC PLAN? ???FALSE???????????? ????,Dynamic Plan????????????Nested Loop?Hash Join???case ,????????Nested loop???????????HASH JOIN,?HASH JOIN????????????????? ????????subplan?????,???? pass?? ?join method???,?????STATISTICS COLLECTOR???cardinality?,???????HASH JOIN?????Nested Loop,????????????subplan?????access path; ???????Sales??????????????????,????HASH JOIN,??SUBPLAN??customers?????????;?????Nested Loop,???????cust_id?????Range Scan+Access by Rowid? Cardinality feedback Cardinality feedback????????11.2????,????????re-optimization???;  ???????????,Cardinality feedback?????????????????????????? ???????????????????,?????????????????,??????????Cardinality feedback????????????? ????????????????????????? ??????????????Cardinality feedback ??: ????????,???????????,??????????,????????????????selectivity ??? ????????????: ??????,?????????????????????????????????,??????????????????? ????????????????????????????????????????,?????????????????????????? ?????????,???????????????,?????????? ??????????Cardinality ????,??????join Cardinality ????????? Cardinality feedback???????cursor?,?Cursor???aged out????? SELECT /*+ gather_plan_statistics */ product_name FROM order_items o, product_information p WHERE o.unit_price = 15 AND quantity > 1 AND p.product_id = o.product_id Plan hash value: 1553478007 ---------------------------------------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | OMem | 1Mem | Used-Mem | ---------------------------------------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 13 |00:00:00.01 | 24 | 20 | | | | |* 1 | HASH JOIN | | 1 | 4 | 13 |00:00:00.01 | 24 | 20 | 2061K| 2061K| 429K (0)| |* 2 | TABLE ACCESS FULL| ORDER_ITEMS | 1 | 4 | 13 |00:00:00.01 | 7 | 6 | | | | | 3 | TABLE ACCESS FULL| PRODUCT_INFORMATION | 1 | 1 | 288 |00:00:00.01 | 17 | 14 | | | | ---------------------------------------------------------------------------------------------------------------------------------------- SELECT /*+ gather_plan_statistics */ product_name FROM order_items o, product_information p WHERE o.unit_price = 15 AND quantity > 1 AND p.product_id = o.product_id Plan hash value: 1553478007 ------------------------------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | OMem | 1Mem | Used-Mem | ------------------------------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 13 |00:00:00.01 | 24 | | | | |* 1 | HASH JOIN | | 1 | 13 | 13 |00:00:00.01 | 24 | 2061K| 2061K| 413K (0)| |* 2 | TABLE ACCESS FULL| ORDER_ITEMS | 1 | 13 | 13 |00:00:00.01 | 7 | | | | | 3 | TABLE ACCESS FULL| PRODUCT_INFORMATION | 1 | 288 | 288 |00:00:00.01 | 17 | | | | ------------------------------------------------------------------------------------------------------------------------------- Note ----- - statistics feedback used for this statement SQL> select count(*) from v$SQL where SQL_ID='cz0hg2zkvd10y'; COUNT(*) ---------- 2 SQL>select sql_ID,USE_FEEDBACK_STATS FROM V$SQL_SHARED_CURSOR where USE_FEEDBACK_STATS ='Y'; SQL_ID U ------------- - cz0hg2zkvd10y Y ????????Cardinality feedback????,???????????????????????????,????????????order_items???????? ????2??????plan hash value??(??????????),?????2????child cursor??????gather_plan_statistics???actual : A-ROWS  estimate :E-ROWS????????? Automatic Re-optimization ???dynamic plan, Re-optimization???????????????  ?  ??????????????? ????????????????????????????????  ???????????,??????????????, ???????????????????? ???????????  Re-optimization??, ????????????????????? Re-optimization????dynamic plan??????????  dynamic plan????????????????????, ???????????????????? ????,??????????join order ??????????????,?????????????join order????? ??????,????????Re-optimization, ??Re-optimization ??????????????????? ?Oracle database 12c?,join statistics?????????????????????,??????????????????????Re-optimization???????????adaptive cursor sharing????? ????????????????,???????????? ????? ???????statistics collectors ????????????????????Re-optimization??????2?????????????,???????????????? ??????????????Re-optimization?????,?????????????????????? ???v$SQL??????IS_REOPTIMIZABLE?????????????????????Re-optimization,??????????Re-optimization???,?????Re-optimization ,???????reporting????? IS_REOPTIMIZABLE VARCHAR2(1) This columns shows whether the next execution matching this child cursor will trigger a reoptimization. The values are:   Y: If the next execution will trigger a reoptimization R: If the child cursor contains reoptimization information, but will not trigger reoptimization because the cursor was compiled in reporting mode N: If the child cursor has no reoptimization information ??1: select plan_table_output from table (dbms_xplan.display_cursor('gwf99gfnm0t7g',NULL,'ALLSTATS LAST')); SQL_ID  gwf99gfnm0t7g, child number 0 ------------------------------------- SELECT /*+ SFTEST gather_plan_statistics */ o.order_id, v.product_name FROM  orders o,   ( SELECT order_id, product_name FROM order_items o, product_information p     WHERE  p.product_id = o.product_id AND list_price < 50 AND min_price < 40  ) v WHERE o.order_id = v.order_id Plan hash value: 1906736282 ------------------------------------------------------------------------------------------------------------------------------------------- | Id  | Operation             | Name                | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  |  OMem |  1Mem | Used-Mem | ------------------------------------------------------------------------------------------------------------------------------------------- |   0 | SELECT STATEMENT      |                     |      1 |        |    269 |00:00:00.02 |    1336 |     18 |       |       |          | |   1 |  NESTED LOOPS         |                     |      1 |      1 |    269 |00:00:00.02 |    1336 |     18 |       |       |          | |   2 |   MERGE JOIN CARTESIAN|                     |      1 |      4 |   9135 |00:00:00.02 |      34 |     15 |       |       |          | |*  3 |    TABLE ACCESS FULL  | PRODUCT_INFORMATION |      1 |      1 |     87 |00:00:00.01 |      33 |     14 |       |       |          | |   4 |    BUFFER SORT        |                     |     87 |    105 |   9135 |00:00:00.01 |       1 |      1 |  4096 |  4096 | 4096  (0)| |   5 |     INDEX FULL SCAN   | ORDER_PK            |      1 |    105 |    105 |00:00:00.01 |       1 |      1 |       |       |          | |*  6 |   INDEX UNIQUE SCAN   | ORDER_ITEMS_UK      |   9135 |      1 |    269 |00:00:00.01 |    1302 |      3 |       |       |          | ------------------------------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): ---------------------------------------------------    3 - filter(("MIN_PRICE"<40 AND "LIST_PRICE"<50))    6 - access("O"."ORDER_ID"="ORDER_ID" AND "P"."PRODUCT_ID"="O"."PRODUCT_ID") SQL_ID  gwf99gfnm0t7g, child number 1 ------------------------------------- SELECT /*+ SFTEST gather_plan_statistics */ o.order_id, v.product_name FROM  orders o,   ( SELECT order_id, product_name FROM order_items o, product_information p     WHERE  p.product_id = o.product_id AND list_price < 50 AND min_price < 40  ) v WHERE o.order_id = v.order_id Plan hash value: 35479787 -------------------------------------------------------------------------------------------------------------------------------------------- | Id  | Operation              | Name                | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  |  OMem |  1Mem | Used-Mem | -------------------------------------------------------------------------------------------------------------------------------------------- |   0 | SELECT STATEMENT       |                     |      1 |        |    269 |00:00:00.01 |      63 |      3 |       |       |          | |   1 |  NESTED LOOPS          |                     |      1 |    269 |    269 |00:00:00.01 |      63 |      3 |       |       |          | |*  2 |   HASH JOIN            |                     |      1 |    313 |    269 |00:00:00.01 |      42 |      3 |  1321K|  1321K| 1234K (0)| |*  3 |    TABLE ACCESS FULL   | PRODUCT_INFORMATION |      1 |     87 |     87 |00:00:00.01 |      16 |      0 |       |       |          | |   4 |    INDEX FAST FULL SCAN| ORDER_ITEMS_UK      |      1 |    665 |    665 |00:00:00.01 |      26 |      3 |       |       |          | |*  5 |   INDEX UNIQUE SCAN    | ORDER_PK            |    269 |      1 |    269 |00:00:00.01 |      21 |      0 |       |       |          | -------------------------------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): ---------------------------------------------------    2 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID")    3 - filter(("MIN_PRICE"<40 AND "LIST_PRICE"<50))    5 - access("O"."ORDER_ID"="ORDER_ID") Note -----    - statistics feedback used for this statement    SQL> select IS_REOPTIMIZABLE,child_number FROM V$SQL  A where A.SQL_ID='gwf99gfnm0t7g'; IS CHILD_NUMBER -- ------------ Y             0 N             1    1* select child_number,other_xml From v$SQL_PLAN  where SQL_ID='gwf99gfnm0t7g' and other_xml is not nul SQL> / CHILD_NUMBER OTHER_XML ------------ --------------------------------------------------------------------------------            1 <other_xml><info type="cardinality_feedback">yes</info><info type="db_version">1              2.1.0.1</info><info type="parse_schema"><![CDATA["OE"]]></info><info type="plan_              hash">35479787</info><info type="plan_hash_2">3382491761</info><outline_data><hi              nt><![CDATA[IGNORE_OPTIM_EMBEDDED_HINTS]]></hint><hint><![CDATA[OPTIMIZER_FEATUR              ES_ENABLE('12.1.0.1')]]></hint><hint><![CDATA[DB_VERSION('12.1.0.1')]]></hint><h              int><![CDATA[ALL_ROWS]]></hint><hint><![CDATA[OUTLINE_LEAF(@"SEL$F5BB74E1")]]></              hint><hint><![CDATA[MERGE(@"SEL$2")]]></hint><hint><![CDATA[OUTLINE(@"SEL$1")]]>              </hint><hint><![CDATA[OUTLINE(@"SEL$2")]]></hint><hint><![CDATA[FULL(@"SEL$F5BB7              4E1" "P"@"SEL$2")]]></hint><hint><![CDATA[INDEX_FFS(@"SEL$F5BB74E1" "O"@"SEL$2"              ("ORDER_ITEMS"."ORDER_ID" "ORDER_ITEMS"."PRODUCT_ID"))]]></hint><hint><![CDATA[I              NDEX(@"SEL$F5BB74E1" "O"@"SEL$1" ("ORDERS"."ORDER_ID"))]]></hint><hint><![CDATA[              LEADING(@"SEL$F5BB74E1" "P"@"SEL$2" "O"@"SEL$2" "O"@"SEL$1")]]></hint><hint><![C              DATA[USE_HASH(@"SEL$F5BB74E1" "O"@"SEL$2")]]></hint><hint><![CDATA[USE_NL(@"SEL$              F5BB74E1" "O"@"SEL$1")]]></hint></outline_data></other_xml>            0 <other_xml><info type="db_version">12.1.0.1</info><info type="parse_schema"><![C              DATA["OE"]]></info><info type="plan_hash">1906736282</info><info type="plan_hash              _2">2579473118</info><outline_data><hint><![CDATA[IGNORE_OPTIM_EMBEDDED_HINTS]]>              </hint><hint><![CDATA[OPTIMIZER_FEATURES_ENABLE('12.1.0.1')]]></hint><hint><![CD              ATA[DB_VERSION('12.1.0.1')]]></hint><hint><![CDATA[ALL_ROWS]]></hint><hint><![CD              ATA[OUTLINE_LEAF(@"SEL$F5BB74E1")]]></hint><hint><![CDATA[MERGE(@"SEL$2")]]></hi              nt><hint><![CDATA[OUTLINE(@"SEL$1")]]></hint><hint><![CDATA[OUTLINE(@"SEL$2")]]>              </hint><hint><![CDATA[FULL(@"SEL$F5BB74E1" "P"@"SEL$2")]]></hint><hint><![CDATA[              INDEX(@"SEL$F5BB74E1" "O"@"SEL$1" ("ORDERS"."ORDER_ID"))]]></hint><hint><![CDATA              [INDEX(@"SEL$F5BB74E1" "O"@"SEL$2" ("ORDER_ITEMS"."ORDER_ID" "ORDER_ITEMS"."PROD              UCT_ID"))]]></hint><hint><![CDATA[LEADING(@"SEL$F5BB74E1" "P"@"SEL$2" "O"@"SEL$1              " "O"@"SEL$2")]]></hint><hint><![CDATA[USE_MERGE_CARTESIAN(@"SEL$F5BB74E1" "O"@"              SEL$1")]]></hint><hint><![CDATA[USE_NL(@"SEL$F5BB74E1" "O"@"SEL$2")]]></hint></o              utline_data></other_xml> ??2: SELECT /*+gather_plan_statistics*/ * FROM customers WHERE cust_state_province='CA' AND country_id='US'; SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'ALLSTATS LAST')); PLAN_TABLE_OUTPUT ------------------------------------- SQL_ID b74nw722wjvy3, child number 0 ------------------------------------- select /*+gather_plan_statistics*/ * from customers where CUST_STATE_PROVINCE='CA' and country_id='US' Plan hash value: 1683234692 -------------------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | -------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 29 |00:00:00.01 | 17 | 14 | |* 1 | TABLE ACCESS FULL| CUSTOMERS | 1 | 8 | 29 |00:00:00.01 | 17 | 14 | -------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter(("CUST_STATE_PROVINCE"='CA' AND "COUNTRY_ID"='US')) SELECT SQL_ID, CHILD_NUMBER, SQL_TEXT, IS_REOPTIMIZABLE FROM V$SQL WHERE SQL_TEXT LIKE 'SELECT /*+gather_plan_statistics*/%'; SQL_ID CHILD_NUMBER SQL_TEXT I ------------- ------------ ----------- - b74nw722wjvy3 0 select /*+g Y ather_plan_ statistics* / * from cu stomers whe re CUST_STA TE_PROVINCE ='CA' and c ountry_id=' US' EXEC DBMS_SPD.FLUSH_SQL_PLAN_DIRECTIVE; SELECT TO_CHAR(d.DIRECTIVE_ID) dir_id, o.OWNER, o.OBJECT_NAME, o.SUBOBJECT_NAME col_name, o.OBJECT_TYPE, d.TYPE, d.STATE, d.REASON FROM DBA_SQL_PLAN_DIRECTIVES d, DBA_SQL_PLAN_DIR_OBJECTS o WHERE d.DIRECTIVE_ID=o.DIRECTIVE_ID AND o.OWNER IN ('SH') ORDER BY 1,2,3,4,5; DIR_ID OWNER OBJECT_NAME COL_NAME OBJECT TYPE STATE REASON ----------------------- ----- ------------- ----------- ------ ---------------- ----- ------------------------ 1484026771529551585 SH CUSTOMERS COUNTRY_ID COLUMN DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE 1484026771529551585 SH CUSTOMERS CUST_STATE_ COLUMN DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY PROVINCE MISESTIMATE 1484026771529551585 SH CUSTOMERS TABLE DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE SELECT /*+gather_plan_statistics*/ * FROM customers WHERE cust_state_province='CA' AND country_id='US'; ELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'ALLSTATS LAST')); PLAN_TABLE_OUTPUT ------------------------------------- SQL_ID b74nw722wjvy3, child number 1 ------------------------------------- select /*+gather_plan_statistics*/ * from customers where CUST_STATE_PROVINCE='CA' and country_id='US' Plan hash value: 1683234692 ----------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | ----------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 29 |00:00:00.01 | 17 | |* 1 | TABLE ACCESS FULL| CUSTOMERS | 1 | 29 | 29 |00:00:00.01 | 17 | ----------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter(("CUST_STATE_PROVINCE"='CA' AND "COUNTRY_ID"='US')) Note ----- - cardinality feedback used for this statement SELECT SQL_ID, CHILD_NUMBER, SQL_TEXT, IS_REOPTIMIZABLE FROM V$SQL WHERE SQL_TEXT LIKE 'SELECT /*+gather_plan_statistics*/%'; SQL_ID CHILD_NUMBER SQL_TEXT I ------------- ------------ ----------- - b74nw722wjvy3 0 select /*+g Y ather_plan_ statistics* / * from cu stomers whe re CUST_STA TE_PROVINCE ='CA' and c ountry_id=' US' b74nw722wjvy3 1 select /*+g N ather_plan_ statistics* / * from cu stomers whe re CUST_STA TE_PROVINCE ='CA' and c ountry_id=' US' SELECT /*+gather_plan_statistics*/ CUST_EMAIL FROM CUSTOMERS WHERE CUST_STATE_PROVINCE='MA' AND COUNTRY_ID='US'; SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'ALLSTATS LAST')); PLAN_TABLE_OUTPUT ------------------------------------- SQL_ID 3tk6hj3nkcs2u, child number 0 ------------------------------------- Select /*+gather_plan_statistics*/ cust_email From customers Where cust_state_province='MA' And country_id='US' Plan hash value: 1683234692 ------------------------------------------------------------------------------- |Id | Operation | Name | Starts|E-Rows|A-Rows| A-Time |Buffers| ------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 2 |00:00:00.01| 16 | |*1 | TABLE ACCESS FULL| CUSTOMERS | 1 | 2| 2 |00:00:00.01| 16 | ----------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter(("CUST_STATE_PROVINCE"='MA' AND "COUNTRY_ID"='US')) Note ----- - dynamic sampling used for this statement (level=2) - 1 Sql Plan Directive used for this statement EXEC DBMS_SPD.FLUSH_SQL_PLAN_DIRECTIVE; SELECT TO_CHAR(d.DIRECTIVE_ID) dir_id, o.OWNER, o.OBJECT_NAME, o.SUBOBJECT_NAME col_name, o.OBJECT_TYPE, d.TYPE, d.STATE, d.REASON FROM DBA_SQL_PLAN_DIRECTIVES d, DBA_SQL_PLAN_DIR_OBJECTS o WHERE d.DIRECTIVE_ID=o.DIRECTIVE_ID AND o.OWNER IN ('SH') ORDER BY 1,2,3,4,5; DIR_ID OW OBJECT_NA COL_NAME OBJECT TYPE STATE REASON ------------------- -- --------- ---------- ------- --------------- ------------- ------------------------ 1484026771529551585 SH CUSTOMERS COUNTRY_ID COLUMN DYNAMIC_SAMPLING MISSING_STATS SINGLE TABLE CARDINALITY MISESTIMATE 1484026771529551585 SH CUSTOMERS CUST_STATE_ COLUMN DYNAMIC_SAMPLING MISSING_STATS SINGLE TABLE CARDINALITY PROVINCE MISESTIMATE 1484026771529551585 SH CUSTOMERS TABLE DYNAMIC_SAMPLING MISSING_STATS SINGLE TABLE CARDINALITY MISESTIMATE

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