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  • xCode complitions, spelling checkings stoped

    - by SentineL
    My xCode 4.3.2 stopped to show up spelling errors and completions for code. The only way to find out if there is any error in the code - build it. xCode colores only keywords such as if, else, for etc. All other code hasn't colored. Shown only a few very strange completions. For example: CGPoint p; p.y // complition is "YES" p.x // complition is "xor" Completions for methods calls are only nearaly used methods. How can I fix this? I rebooted my mac several times allready, and didn't find any staff obout this in xCode's preferences.

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  • node.js storing gamestate, how?

    - by expressnoob
    I'm writing a game in javascript, and to prevent cheating, i'm having the game be played on the server (it's a board game like a more complicated checkers). Since the game is fairly complex, I need to store the gamestate in order to validate client actions. Is it possible to store the gamestate in memory? Is that smart? Should I do that? If so, how? I don't know how that would work. I can also store in redis. And that sort of thing is pretty familiar to me and requires no explanation. But if I do store in redis, the problem is that on every single move, the game would need to get the data from redis and interpret and parse that data in order to recreate the gamestate from scratch. But since moves happen very frequently this seems very stupid to me. What should I do?

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  • Roanoke Code Camp 2014

    - by Brian Lanham
    Originally posted on: http://geekswithblogs.net/codesailor/archive/2014/05/18/156407.aspxI had a great time yesterday at Roanoke Code Camp!  Many thanks to American National University for the venue, the code camp staff and volunteers, the other speakers, and of course the attendees who made my sessions interactive.  I learned a lot yesterday and it was a good time all around. I attended sessions on Apache Cassandra by Dr. Dave King (@tildedave), Angular JS by Kevin Israel (@kevadev), and JavaScript for Object-Oriented Programmers by Joel Cochran (@joelcochran).  I regret I was unable to attend all the sessions. I also had the opportunity to present.  I spoke on Redis and got some people excited about graph databases by talking about Neo4j.  You can find my slides and other materials at the following links: My Presentation Materials Folder Redis Materials – Slides     - Snippets Neo4j Materials – Slides     - Snippets If you have any trouble getting any of the materials just respond to this post or tweet me @codesailor and I will make sure you get the information you need.

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  • Saving all hits to a web app

    - by bevanb
    Are there standard approaches to persisting data for every hit that a web app receives? This would be for analytics purposes (as a better alternative to log mining down the road). Seems like Redis would be a must. Is it advisable to also use a different DB server for that table, or would Redis be enough to mitigate the impact on the main DB? Also, how common is this practice? Seems like a no brainer for businesses who want to better understand their users, but I haven't read much about it.

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  • GitLab post-receive hook not firing

    - by Ben Graham
    Apologies if this isn't the right stackexchange. I have a GitLab install. It was installed over the top of a gitolite install that was only a few days old, and I assume this non-standard setup is at the root of my problem, but I cannot pin it down. The problem is straightforward: post-receive hooks are not fired. This prevents 'project activity' appearing in GitLab. The problem looks like: $ git push #... error: cannot run hooks/post-receive: No such file or directory Hook Exists The post-receive hook/symlink exists and is executable: -rwxr-xr-x 1 git git 470 Oct 3 2012 .gitolite/hooks/common/post-receive lrwxrwxrwx 1 git git 45 Oct 3 2012 repositories/project.git/hooks/post-receive -> /home/git/.gitolite/hooks/common/post-receive It's Executable By GitLab The gitlab user can execute the script (I have removed the /dev/null redirect and fed in blank input to get an 'OK' as output): sudo su - gitlab -c /home/git/.gitolite/hooks/common/post-receive OK GitLab Can Find It GitLab is looking for hooks in the correct location: $ grep hooks /srv/gitlab/gitlab/config/gitlab.yml hooks_path: /home/git/.gitolite/hooks/ and $ bundle exec rake gitlab:app:status RAILS_ENV=production # ... /home/git/.gitolite/hooks/common/post-receive exists? ............YES Environment The env -i line in the hook is commonly cited as an issue. I think that would occur after this problem, but for completeness, redis-cli is found OK: $ env -i redis-cli redis> I've run out of debugging ideas on this one. Does anybody have any suggestions?

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  • casting doubles to integers in order to gain speed

    - by antirez
    Hello all, in Redis (http://code.google.com/p/redis) there are scores associated to elements, in order to take this elements sorted. This scores are doubles, even if many users actually sort by integers (for instance unix times). When the database is saved we need to write this doubles ok disk. This is what is used currently: snprintf((char*)buf+1,sizeof(buf)-1,"%.17g",val); Additionally infinity and not-a-number conditions are checked in order to also represent this in the final database file. Unfortunately converting a double into the string representation is pretty slow. While we have a function in Redis that converts an integer into a string representation in a much faster way. So my idea was to check if a double could be casted into an integer without lost of data, and then using the function to turn the integer into a string if this is true. For this to provide a good speedup of course the test for integer "equivalence" must be fast. So I used a trick that is probably undefined behavior but that worked very well in practice. Something like that: double x = ... some value ... if (x == (double)((long long)x)) use_the_fast_integer_function((long long)x); else use_the_slow_snprintf(x); In my reasoning the double casting above converts the double into a long, and then back into an integer. If the range fits, and there is no decimal part, the number will survive the conversion and will be exactly the same as the initial number. As I wanted to make sure this will not break things in some system, I joined #c on freenode and I got a lot of insults ;) So I'm now trying here. Is there a standard way to do what I'm trying to do without going outside ANSI C? Otherwise, is the above code supposed to work in all the Posix systems that currently Redis targets? That is, archs where Linux / Mac OS X / *BSD / Solaris are running nowaday? What I can add in order to make the code saner is an explicit check for the range of the double before trying the cast at all. Thank you for any help.

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  • How to rate-limit concurrent sessions with nginx or haproxy?

    - by bantic
    I'm currently using nginx to reverse-proxy requests from web clients that are doing long-polling to an upstream. Since we're doing long polling (as opposed to websockets), when a client connects it will make multiple http connections to the server in serial, re-establishing a connection every time the server sends it some data (or timing out and re-establishing if the server has nothing to say for 10 seconds). What I'd like to do is limit the number of concurrent web clients. Since the clients are constantly making new HTTP requests instead of keeping a single request open, it's a little tricky to count the total number of web clients (because it's not the same as total number of concurrently connected http clients). The method I've come up with is to track http requests by the originating IP address, and store the IP address somewhere with a TTL of 20 seconds. If a request comes in whose IP isn't recognized, then we check the total number of unexpired stored IP addresses; if that's less than the maximum then we allow this request through. And if a request comes in with an IP address that we can find in the look-up table that hasn't yet expired, then it is allowed through as well. All requests that are allowed through have their IPs added to the table (if not there before) and the TTL refreshed to 20 seconds again. I had actually whipped something together that worked correctly this way using nginx along with the Redis 2.0 Nginx Module (and the nginx lua module to simplify the conditional branching), using redis to store my IP addresses with a TTL (the SETEX command), and checking the table size with the DBSIZE command. This worked but the performance was horrible. nginx and redis ended up using lots of cpu and the machine could only handle a very small number of concurrent requests. The new stick-table and tracking counters that were added to Haproxy in version 1.5 (via a commission from serverfault) seem like they might be ideal to implement exactly this sort of rate limiting, because the stick-table can track IP addresses and automatically expire entries. However, I don't see an easy way to get a total count of the unexpired entries in the stick table, which would be necessary to know the number of connected web clients. I'm curious if anyone has any suggestions, for nginx or haproxy or even for something else not mentioned here that I haven't thought of yet.

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  • Appropriate Network switch for small server cluster

    - by Chris Dutrow
    Need to build a small business server cluster for the purpose of crunching data. It will not host a web site that needs to be available 24/7. It does need to support servers that host Redis, a Cassandra database cluster, and a Python web server. Operating system will most likely be Centos 6.4 Other servers in the cluster should be able to communicate very fast with each other, especially the Redis server. This will probably require the use of internal IP addresses. We will need to use multi-data center replication to synchronize the Cassandra cluster with the one that we currently have hosted on the cloud Was looking into network switches and we are unsure of the appropriate specifications that we should be looking for. Does the switch need to be "managed" or can it be "unmanged"? Does the switch need to support IPv6 or just IPv4? Do we need an enterprise level Cisco switch, or can we go with something like a $200 DLink managed (or unmanaged) small business switch? Thanks so much!

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  • LSB Script: how do i know if something goes wrong?

    - by ianaz
    How do I know if a LSB script fails to load or where do I check the log of the lsbs scripts? I added two scripts with the following command: update-rc.d scriptname defaults And just one launches the things I need. It does not seem to be a script error since if I launch it with /etc/init.d/scriptname it works. This is my script: #!/bin/bash ### BEGIN INIT INFO # Provides: nodes # Required-Start: $remote_fs $syslog # Required-Stop: $remote_fs $syslog # Default-Start: 2 3 4 5 # Default-Stop: 0 1 6 # Short-Description: Starts all node apps # Description: Starts all node apps like AAM, AMT,... ### END INIT INFO echo "Launch Node applications with forever" export PATH=/usr/local/bin:$PATH # Starts the redis server redis-server # Starts AAM forever -o /var/log/AAM.log -e /var/log/AAM.log --spinSleepTime 2000 -m 5 start /var/nodejs/AAM/app.js

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  • Java - System design with distributed Queues and Locks

    - by sunny
    Looking for inputs to evaluate a design for a system (java) which would have a distributed queue serving several (but not too many) nodes. These nodes would process objects present in the distributed queue and on occasion require a distributed lock across the cluster on an arbitrary (distributed) data structures. These (distributed) data structures could potentially lie in a distributed cache. Eliminating Terracotta (DSO),Hazelcast and Akka what could be alternative choices. Currently considering zookeeper as a distributed locking mechanism. Since the recommendation of a znode is not to exceed the 1M size , the understanding is that zookeeper should not be used a distributed queue. And also from Netflix curator tech note 4. So should a distributed cache, say like memcached, or redis be used to emulate a distributed queue ? i.e. The distributed queue will be stored in the caches and will be locked cluster-wide via zookeeper. Are there potential pitfalls with this high-level approach. The objects don't need to be taken off the queue. The object will pass through a lifecycle which will determine its removal from the queue. There would be about 10k+ objects in a queue at a given time changing states and any node could service one stage of the object's lifecycle. (Although not strictly necessary .. i.e. one node could serve the entire lifecycle if that is more efficient.) Any suggestions/alternatives ? sidenote: new to zookeeper ; redis etc.

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  • Rails/Node.js interaction

    - by lpvn
    I and my co-worker are developing a web application with rails and node.js and we can't reach a consensus regarding a particular architectural decision. Our setup is basically a rails server working with node.js and redis, when a client makes a http request to our rails API in some cases our rails application posts the response to a redis database and then node.js transmits the response via websocket. Our disagreement occurs in the following point: my co-worker thinks that using node.js to send data to clients is somewhat business logic and should be inside the model, so in the first code he wrote he used commands of broadcast in callbacks and other places of the model, he's convinced that the models are the best place for the interaction between rails and node. I on the other hand think that using node.js belongs to the runtime realm, my take is that the broadcast commands and other node.js interactions should be in the controller and should only be used in a model if passed through a well defined interface, just like the situation when a model needs to access the current user of a session. At this point we're tired of arguing over this same thing and our discussion consists in us repeating to ourselves our same opinions over and over. Could anyone, preferably with experience in the same setup, give us an unambiguous response saying which solution is more adequate and why it is?

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  • Distributed transactions and queues, ruby, erlang

    - by chrispanda
    I have a problem that involves several machines, message queues, and transactions. So for example a user clicks on a web page, the click sends a message to another machine which adds a payment to the user's account. There may be many thousands of clicks per second. All aspects of the transaction should be fault tolerant. I've never had to deal with anything like this before, but a bit of reading suggests this is a well known problem. So to my questions. Am I correct in assuming that secure way of doing this is with a two phase commit, but the protocol is blocking and so I won't get the required performance? It appears that DBs like redis and message queuing system like Rescue, RabbitMQ etc don't really help me a lot - even if I implement some sort of two phase commit, the data will be lost if redis crashes because it is essentially memory-only. All of this has led me to look at erlang - but before I wade in and start learning a new language, I would really like to understand better if this is worth the effort. Specifically, am I right in thinking that because of its parallel processing capabilities, erlang is a better choice for implementing a blocking protocol like two phase commit, or am I confused?

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  • Casting an object using 'as' returns null: myObject = newObject as MyObject; // null

    - by John Russell
    I am trying to create a custom object in AS3 to pass information to and from a server, which in this case will be Red5. In the below screenshots you will see that I am able to send a request for an object from as3, and receive it successfully from the java server. However, when I try to cast the received object to my defined objectType using 'as', it takes the value of null. It is my understanding that that when using "as" your checking to see if your variable is a member of the specified data type. If the variable is not, then null will be returned. This screenshot illustrates that I am have successfully received my object 'o' from red5 and I am just about to cast it to the (supposedly) identical datatype testObject of LobbyData: However, when testObject = o as LobbyData; runs, it returns null. :( Below you will see my specifications both on the java server and the as3 client. I am confident that both objects are identical in every way, but for some reason flash does not think so. I have been pulling my hair out for a long time, does anyone have any thoughts? AS3 Object: import flash.utils.IDataInput; import flash.utils.IDataOutput; import flash.utils.IExternalizable; import flash.net.registerClassAlias; [Bindable] [RemoteClass(alias = "myLobbyData.LobbyData")] public class LobbyData implements IExternalizable { private var sent:int; // java sentinel private var u:String; // red5 username private var sen:int; // another sentinel? private var ui:int; // fb uid private var fn:String; // fb name private var pic:String; // fb pic private var inb:Boolean; // is in the table? private var t:int; // table number private var s:int; // seat number public function setSent(sent:int):void { this.sent = sent; } public function getSent():int { return sent; } public function setU(u:String):void { this.u = u; } public function getU():String { return u; } public function setSen(sen:int):void { this.sen = sen; } public function getSen():int { return sen; } public function setUi(ui:int):void { this.ui = ui; } public function getUi():int { return ui; } public function setFn(fn:String):void { this.fn = fn; } public function getFn():String { return fn; } public function setPic(pic:String):void { this.pic = pic; } public function getPic():String { return pic; } public function setInb(inb:Boolean):void { this.inb = inb; } public function getInb():Boolean { return inb; } public function setT(t:int):void { this.t = t; } public function getT():int { return t; } public function setS(s:int):void { this.s = s; } public function getS():int { return s; } public function readExternal(input:IDataInput):void { sent = input.readInt(); u = input.readUTF(); sen = input.readInt(); ui = input.readInt(); fn = input.readUTF(); pic = input.readUTF(); inb = input.readBoolean(); t = input.readInt(); s = input.readInt(); } public function writeExternal(output:IDataOutput):void { output.writeInt(sent); output.writeUTF(u); output.writeInt(sen); output.writeInt(ui); output.writeUTF(fn); output.writeUTF(pic); output.writeBoolean(inb); output.writeInt(t); output.writeInt(s); } } Java Object: package myLobbyData; import org.red5.io.amf3.IDataInput; import org.red5.io.amf3.IDataOutput; import org.red5.io.amf3.IExternalizable; public class LobbyData implements IExternalizable { private static final long serialVersionUID = 115280920; private int sent; // java sentinel private String u; // red5 username private int sen; // another sentinel? private int ui; // fb uid private String fn; // fb name private String pic; // fb pic private Boolean inb; // is in the table? private int t; // table number private int s; // seat number public void setSent(int sent) { this.sent = sent; } public int getSent() { return sent; } public void setU(String u) { this.u = u; } public String getU() { return u; } public void setSen(int sen) { this.sen = sen; } public int getSen() { return sen; } public void setUi(int ui) { this.ui = ui; } public int getUi() { return ui; } public void setFn(String fn) { this.fn = fn; } public String getFn() { return fn; } public void setPic(String pic) { this.pic = pic; } public String getPic() { return pic; } public void setInb(Boolean inb) { this.inb = inb; } public Boolean getInb() { return inb; } public void setT(int t) { this.t = t; } public int getT() { return t; } public void setS(int s) { this.s = s; } public int getS() { return s; } @Override public void readExternal(IDataInput input) { sent = input.readInt(); u = input.readUTF(); sen = input.readInt(); ui = input.readInt(); fn = input.readUTF(); pic = input.readUTF(); inb = input.readBoolean(); t = input.readInt(); s = input.readInt(); } @Override public void writeExternal(IDataOutput output) { output.writeInt(sent); output.writeUTF(u); output.writeInt(sen); output.writeInt(ui); output.writeUTF(fn); output.writeUTF(pic); output.writeBoolean(inb); output.writeInt(t); output.writeInt(s); } } AS3 Client: public function refreshRoom(event:Event) { var resp:Responder=new Responder(handleResp,null); ncLobby.call("getLobbyData", resp, null); } public function handleResp(o:Object):void { var testObject:LobbyData=new LobbyData; testObject = o as LobbyData; trace(testObject); } Java Client public LobbyData getLobbyData(String param) { LobbyData lobbyData1 = new LobbyData(); lobbyData1.setSent(5); lobbyData1.setU("lawlcats"); lobbyData1.setSen(5); lobbyData1.setUi(5); lobbyData1.setFn("lulz"); lobbyData1.setPic("lulzagain"); lobbyData1.setInb(true); lobbyData1.setT(5); lobbyData1.setS(5); return lobbyData1; }

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  • Facebook user_id as MongoDB BSON ObjectId?

    - by MattDiPasquale
    I'm rebuilding Lovers on Facebook with Sinatra & Redis. I like Redis because it doesn't have the long (12-byte) BSON ObjectIds and I am storing sets of Facebook user_ids for each user. The sets are requests_sent, requests_received, & relationships, and they all contain Facebook user ids. I'm thinking of switching to MongoDB because I want to use it's geospatial indexing. If I do, I'd want to use the FB user ids as the _id field because I want the sets to be small and I want the JSON responses to be small. But, is the BSON ObjectId better (more efficient for MongoDB) to use than just an integer (fb user_id)?

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  • Is there a way to ignore Cache errors in Django?

    - by Josh Smeaton
    I've just set our development Django site to use redis for a cache backend and it was all working fine. I brought down redis to see what would happen, and sure enough Django 404's due to cache backend behaviour. Either the Connection was refused, or various other errors. Is there any way to instruct Django to ignore Cache errors, and continue processing the normal way? It seems weird that caching is a performance optimization, but can bring down an entire site if it fails. I tried to write a wrapper around the backend like so: class CacheClass(redis_backend.CacheClass): """ Wraps the desired Cache, and falls back to global_settings default on init failure """ def __init__(self, server, params): try: super(CacheClass, self).__init__(server, params) except Exception: from django.core import cache as _ _.cache = _.get_cache('locmem://') But that won't work, since I'm trying to set the cache type in the call that sets the cache type. It's all a very big mess. So, is there any easy way to swallow cache errors? Or to set the default cache backend on failure?

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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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  • Detecting source of memory usage on a Linux box

    - by apeace
    I have a toy Linux box with 256mb RAM running Ubuntu 10.04.1 LTS. Here is the output of free -m: total used free shared buffers cached Mem: 245 122 122 0 19 64 -/+ buffers/cache: 38 206 Swap: 511 0 511 Unless I'm reading this wrong, 122mb is being used and only 84mb of that is disk cache. Here are all processes I'm running sorted by memory usage (ps -eo pmem,pcpu,rss,vsize,args | sort -k 1 -r): %MEM %CPU RSS VSZ COMMAND 5.0 0.0 12648 633140 node /home/node/main/sites.js 1.5 0.0 3884 251736 /usr/sbin/console-kit-daemon --no-daemon 1.3 0.0 3328 77108 sshd: apeace [priv] 0.9 0.0 2344 19624 -bash 0.7 0.0 1776 23620 /sbin/init 0.6 0.0 1624 77108 sshd: apeace@pts/0 0.6 0.0 1544 9940 redis-server /etc/redis/redis.conf 0.6 0.0 1524 25848 /usr/sbin/ntpd -p /var/run/ntpd.pid -g -u 103:105 0.5 0.0 1324 119880 rsyslogd -c4 0.4 0.0 1084 49308 /usr/sbin/sshd 0.4 0.0 1028 44376 /usr/sbin/exim4 -bd -q30m 0.3 0.0 904 6876 ps -eo pmem,pcpu,rss,vsize,args 0.3 0.0 888 21124 cron 0.3 0.0 868 23472 dbus-daemon --system --fork 0.2 0.0 732 19624 -bash 0.2 0.0 628 6128 /sbin/getty -8 38400 tty1 0.2 0.0 628 16952 upstart-udev-bridge --daemon 0.2 0.0 564 16800 udevd --daemon 0.2 0.0 552 16796 udevd --daemon 0.2 0.0 548 16796 udevd --daemon 0.0 0.0 0 0 [xenwatch] 0.0 0.0 0 0 [xenbus] 0.0 0.0 0 0 [sync_supers] 0.0 0.0 0 0 [netns] 0.0 0.0 0 0 [migration/3] 0.0 0.0 0 0 [migration/2] 0.0 0.0 0 0 [migration/1] 0.0 0.0 0 0 [migration/0] 0.0 0.0 0 0 [kthreadd] 0.0 0.0 0 0 [kswapd0] 0.0 0.0 0 0 [kstriped] 0.0 0.0 0 0 [ksoftirqd/3] 0.0 0.0 0 0 [ksoftirqd/2] 0.0 0.0 0 0 [ksoftirqd/1] 0.0 0.0 0 0 [ksoftirqd/0] 0.0 0.0 0 0 [ksnapd] 0.0 0.0 0 0 [kseriod] 0.0 0.0 0 0 [kjournald] 0.0 0.0 0 0 [khvcd] 0.0 0.0 0 0 [khelper] 0.0 0.0 0 0 [kblockd/3] 0.0 0.0 0 0 [kblockd/2] 0.0 0.0 0 0 [kblockd/1] 0.0 0.0 0 0 [kblockd/0] 0.0 0.0 0 0 [flush-202:1] 0.0 0.0 0 0 [events/3] 0.0 0.0 0 0 [events/2] 0.0 0.0 0 0 [events/1] 0.0 0.0 0 0 [events/0] 0.0 0.0 0 0 [crypto/3] 0.0 0.0 0 0 [crypto/2] 0.0 0.0 0 0 [crypto/1] 0.0 0.0 0 0 [crypto/0] 0.0 0.0 0 0 [cpuset] 0.0 0.0 0 0 [bdi-default] 0.0 0.0 0 0 [async/mgr] 0.0 0.0 0 0 [aio/3] 0.0 0.0 0 0 [aio/2] 0.0 0.0 0 0 [aio/1] 0.0 0.0 0 0 [aio/0] Now, I know that ps is not the best for viewing process memory usage, but that's because it tends to report more memory than is actually being used...meaning no matter how you look at it all my processes combined shouldn't be using near 122mb, even if you account for the disk cache. What's more, memory usage is growing all the time. I've had to restart my server once a week, because once my 256mb fills up it starts swapping, which it wouldn't do just for disk cache. Shouldn't there be some way for me to see the culprit?! I'm new to server admin, so please if there's something obvious I'm overlooking point it out to me. Just for good measure, the output of cat /proc/meminfo: MemTotal: 251140 kB MemFree: 124604 kB Buffers: 20536 kB Cached: 66136 kB SwapCached: 0 kB Active: 65004 kB Inactive: 37576 kB Active(anon): 15932 kB Inactive(anon): 164 kB Active(file): 49072 kB Inactive(file): 37412 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 524284 kB SwapFree: 524284 kB Dirty: 8 kB Writeback: 0 kB AnonPages: 15916 kB Mapped: 10668 kB Shmem: 188 kB Slab: 18604 kB SReclaimable: 10088 kB SUnreclaim: 8516 kB KernelStack: 536 kB PageTables: 1444 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 649852 kB Committed_AS: 64224 kB VmallocTotal: 34359738367 kB VmallocUsed: 752 kB VmallocChunk: 34359737600 kB DirectMap4k: 262144 kB DirectMap2M: 0 kB EDIT: I had misinterpreted the meaning of free -m at first. But even so: the important thing is that my OS eventually begins to use swap memory if I don't restart my server, which disk caching wouldn't do. So where do I look to see what is using all this memory?

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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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  • How to reliably get size of C-style array?

    - by Frank
    How do I reliably get the size of a C-style array? The method often recommended seems to be to use sizeof, but it doesn't work in the foo function, where x is passed in: #include <iostream> void foo(int x[]) { std::cerr << (sizeof(x) / sizeof(int)); // 2 } int main(){ int x[] = {1,2,3,4,5}; std::cerr << (sizeof(x) / sizeof(int)); // 5 foo(x); return 0; } Answers to this question recommend sizeof but they don't say that it (apparently?) doesn't work if you pass the array around. So, do I have to use a sentinel instead? (I don't think the users of my foo function can always be trusted to put a sentinel at the end. Of course, I could use std::vector, but then I don't get the nice shorthand syntax {1,2,3,4,5}.)

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  • memory tuning with rails/unicorn running on ubuntu

    - by user970193
    I am running unicorn on Ubuntu 11, Rails 3.0, and Ruby 1.8.7. It is an 8 core ec2 box, and I am running 15 workers. CPU never seems to get pinned, and I seem to be handling requests pretty nicely. My question concerns memory usage, and what concerns I should have with what I am seeing. (if any) Here is the scenario: Under constant load (about 15 reqs/sec coming in from nginx), over the course of an hour, each server in the 3 server cluster loses about 100MB / hour. This is a linear slope for about 6 hours, then it appears to level out, but still maybe appear to lose about 10MB/hour. If I drop my page caches using the linux command echo 1 /proc/sys/vm/drop_caches, the available free memory shoots back up to what it was when I started the unicorns, and the memory loss pattern begins again over the hours. Before: total used free shared buffers cached Mem: 7130244 5005376 2124868 0 113628 422856 -/+ buffers/cache: 4468892 2661352 Swap: 33554428 0 33554428 After: total used free shared buffers cached Mem: 7130244 4467144 2663100 0 228 11172 -/+ buffers/cache: 4455744 2674500 Swap: 33554428 0 33554428 My Ruby code does use memoizations and I'm assuming Ruby/Rails/Unicorn is keeping its own caches... what I'm wondering is should I be worried about this behaviour? FWIW, my Unicorn config: worker_processes 15 listen "#{CAPISTRANO_ROOT}/shared/pids/unicorn_socket", :backlog = 1024 listen 8080, :tcp_nopush = true timeout 180 pid "#{CAPISTRANO_ROOT}/shared/pids/unicorn.pid" GC.respond_to?(:copy_on_write_friendly=) and GC.copy_on_write_friendly = true before_fork do |server, worker| STDERR.puts "XXXXXXXXXXXXXXXXXXX BEFORE FORK" print_gemfile_location defined?(ActiveRecord::Base) and ActiveRecord::Base.connection.disconnect! defined?(Resque) and Resque.redis.client.disconnect old_pid = "#{CAPISTRANO_ROOT}/shared/pids/unicorn.pid.oldbin" if File.exists?(old_pid) && server.pid != old_pid begin Process.kill("QUIT", File.read(old_pid).to_i) rescue Errno::ENOENT, Errno::ESRCH # already killed end end File.open("#{CAPISTRANO_ROOT}/shared/pids/unicorn.pid.ok", "w"){|f| f.print($$.to_s)} end after_fork do |server, worker| defined?(ActiveRecord::Base) and ActiveRecord::Base.establish_connection defined?(Resque) and Resque.redis.client.connect end Is there a need to experiment enforcing more stringent garbage collection using OobGC (http://unicorn.bogomips.org/Unicorn/OobGC.html)? Or is this just normal behaviour, and when/as the system needs more memory, it will empty the caches by itself, without me manually running that cache command? Basically, is this normal, expected behaviour? tia

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  • Why many applications close after opening a document or doing a specific actions?

    - by Mohsen Farjami
    I have some encrypted pdf files that have no problem and in my last windows, I could open them easily with Adobe Reader 9.2 and other pdf readers. But now, I can only open non-encrypted pdf files and one encrypted file with Adobe Reader. every time I open almost any encrypted pdf, it closes itself. Also, when I try to search a folder for a keyword with Foxit Reader, once it closed. This is not related to Adobe Reader, because I have the same problem with Word 2007. When I open a document, sometimes it closes instantly and sometimes it closes after a few seconds and sometimes it is stable. My windows is Fresh. I have installed it a few days ago. I have ESET Smart Security 5.2 and I have updated it today. OS: XP Pro SP3, RAM: 3 GB, CPU: 2 GHZ, HDD: 320 GB My installed applications: Adobe AIR Adobe Flash Player 11 ActiveX Adobe Flash Player 11 Plugin Adobe Photoshop CS4 Adobe Reader 9.2 Atheros Wireless LAN Client Adapter Babylon Bluetooth Stack for Windows by Toshiba CCleaner Conexant HD Audio Dell Touchpad ESET Smart Security Farsi (101) Custom Foxit Reader Framing Studio 3.27 Google Chrome Hard Disk Sentinel PRO HDAUDIO Soft Data Fax Modem with SmartCP Intel(R) Graphics Media Accelerator Driver IrfanView (remove only) Java(TM) 6 Update 18 K-Lite Mega Codec Pack 8.8.0 Microsoft .NET Framework 2.0 Service Pack 1 Microsoft .NET Framework 3.0 Service Pack 1 Microsoft .NET Framework 3.5 Microsoft Data Access Components KB870669 Microsoft Office 2007 Primary Interop Assemblies Microsoft Office Enterprise 2007 Microsoft User-Mode Driver Framework Feature Pack 1.0.0 (Pre-Release 5348) Mozilla Firefox 7.0.1 (x86 en-US) Notepad++ Office Tab FreeEdition 8.50 ParsQuran PerfectDisk 12 Professional Registry First Aid RICOH R5C83x/84x Flash Media Controller Driver Ver.3.54.06 Sahar Money Manager 2.5 Stickies 7.1d The KMPlayer (remove only) TurboLaunch 5.1.2 Unlocker 1.9.1 USB Safely Remove 4.2 Virastyar Visual Studio 2005 Tools for Office Second Edition Runtime Winamp Windows Internet Explorer 8 Windows Media Player 11.0.5358.4826 Windows XP Service Pack 3 WinRAR 4.11 (32-bit) WorkPause 1.2 Z Dictionary My startup applications: WorkPause USB Safely Remove TurboLaunch SunJavaUpdateSched Stickies rfagent Persistence ParsQuran Daily Verse ITSecMng IgfxTray HotKeysCmds Hard Disk Sentinel egui disable shift+delete CTFMON.EXE Bluetooth Manager Babylon Client Apoint AdobeCS4ServiceManager Adobe Reader Speed Launcher Adobe ARM What should I do to solve it? If you recommend installing Windows again, what guarantees that it won't happen again?

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  • How about a new platform for your next API&hellip; a CMS?

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2014/05/22/how-about-a-new-platform-for-your-next-apihellip-a.aspxSay what? I’m seeing a type of API emerge which serves static or long-lived resources, which are mostly read-only and have a controlled process to update the data that gets served. Think of something like an app configuration API, where you want a central location for changeable settings. You could use this server side to store database connection strings and keep all your instances in sync, or it could be used client side to push changes out to all users (and potentially driving A/B or MVT testing). That’s a good candidate for a RESTful API which makes proper use of HTTP expiration and validation caching to minimise traffic, but really you want a front end UI where you can edit the current config that the API returns and publish your changes. Sound like a Content Mangement System would be a good fit? I’ve been looking at that and it’s a great fit for this scenario. You get a lot of what you need out of the box, the amount of custom code you need to write is minimal, and you get a whole lot of extra stuff from using CMS which is very useful, but probably not something you’d build if you had to put together a quick UI over your API content (like a publish workflow, fine-grained security and an audit trail). You typically use a CMS for HTML resources, but it’s simple to expose JSON instead – or to do content negotiation to support both, so you can open a resource in a browser and see a nice visual representation, or request it with: Accept=application/json and get the same content rendered as JSON for the app to use. Enter Umbraco Umbraco is an open source .NET CMS that’s been around for a while. It has very good adoption, a lively community and a good release cycle. It’s easy to use, has all the functionality you need for a CMS-driven API, and it’s scalable (although you won’t necessarily put much scale on the CMS layer). In the rest of this post, I’ll build out a simple app config API using Umbraco. We’ll define the structure of the configuration resource by creating a new Document Type and setting custom properties; then we’ll build a very simple Razor template to return configuration documents as JSON; then create a resource and see how it looks. And we’ll look at how you could build this into a wider solution. If you want to try this for yourself, it’s ultra easy – there’s an Umbraco image in the Azure Website gallery, so all you need to to is create a new Website, select Umbraco from the image and complete the installation. It will create a SQL Azure website to store all the content, as well as a Website instance for editing and accessing content. They’re standard Azure resources, so you can scale them as you need. The default install creates a starter site for some HTML content, which you can use to learn your way around (or just delete). 1. Create Configuration Document Type In Umbraco you manage content by creating and modifying documents, and every document has a known type, defining what properties it holds. We’ll create a new Document Type to describe some basic config settings. In the Settings section from the left navigation (spanner icon), expand Document Types and Master, hit the ellipsis and select to create a new Document Type: This will base your new type off the Master type, which gives you some existing properties that we’ll use – like the Page Title which will be the resource URL. In the Generic Properties tab for the new Document Type, you set the properties you’ll be able to edit and return for the resource: Here I’ve added a text string where I’ll set a default cache lifespan, an image which I can use for a banner display, and a date which could show the user when the next release is due. This is the sort of thing that sits nicely in an app config API. It’s likely to change during the life of the product, but not very often, so it’s good to have a centralised place where you can make and publish changes easily and safely. It also enables A/B and MVT testing, as you can change the response each client gets based on your set logic, and their apps will behave differently without needing a release. 2. Define the response template Now we’ve defined the structure of the resource (as a document), in Umbraco we can define a C# Razor template to say how that resource gets rendered to the client. If you only want to provide JSON, it’s easy to render the content of the document by building each property in the response (Umbraco uses dynamic objects so you can specify document properties as object properties), or you can support content negotiation with very little effort. Here’s a template to render the document as HTML or JSON depending on the Accept header, using JSON.NET for the API rendering: @inherits Umbraco.Web.Mvc.UmbracoTemplatePage @using Newtonsoft.Json @{ Layout = null; } @if(UmbracoContext.HttpContext.Request.Headers["accept"] != null &amp;&amp; UmbracoContext.HttpContext.Request.Headers["accept"] == "application/json") { Response.ContentType = "application/json"; @Html.Raw(JsonConvert.SerializeObject(new { cacheLifespan = CurrentPage.cacheLifespan, bannerImageUrl = CurrentPage.bannerImage, nextReleaseDate = CurrentPage.nextReleaseDate })) } else { <h1>App configuration</h1> <p>Cache lifespan: <b>@CurrentPage.cacheLifespan</b></p> <p>Banner Image: </p> <img src="@CurrentPage.bannerImage"> <p>Next Release Date: <b>@CurrentPage.nextReleaseDate</b></p> } That’s a rough-and ready example of what you can do. You could make it completely generic and just render all the document’s properties as JSON, but having a specific template for each resource gives you control over what gets sent out. And the templates are evaluated at run-time, so if you need to change the output – or extend it, say to add caching response headers – you just edit the template and save, and the next client request gets rendered from the new template. No code to build and ship. 3. Create the content With your document type created, in  the Content pane you can create a new instance of that document, where Umbraco gives you a nice UI to input values for the properties we set up on the Document Type: Here I’ve set the cache lifespan to an xs:duration value, uploaded an image for the banner and specified a release date. Each property gets the appropriate input control – text box, file upload and date picker. At the top of the page is the name of the resource – myapp in this example. That specifies the URL for the resource, so if I had a DNS entry pointing to my Umbraco instance, I could access the config with a URL like http://static.x.y.z.com/config/myapp. The setup is all done now, so when we publish this resource it’ll be available to access.  4. Access the resource Now if you open  that URL in the browser, you’ll see the HTML version rendered: - complete with the  image and formatted date. Umbraco lets you save changes and preview them before publishing, so the HTML view could be a good way of showing editors their changes in a usable view, before they confirm them. If you browse the same URL from a REST client, specifying the Accept=application/json request header, you get this response:   That’s the exact same resource, with a managed UI to publish it, being accessed as HTML or JSON with a tiny amount of effort. 5. The wider landscape If you have fairy stable content to expose as an API, I think  this approach is really worth considering. Umbraco scales very nicely, but in a typical solution you probably wouldn’t need it to. When you have additional requirements, like logging API access requests - but doing it out-of-band so clients aren’t impacted, you can put a very thin API layer on top of Umbraco, and cache the CMS responses in your API layer:   Here the API does a passthrough to CMS, so the CMS still controls the content, but it caches the response. If the response is cached for 1 minute, then Umbraco only needs to handle 1 request per minute (multiplied by the number of API instances), so if you need to support 1000s of request per second, you’re scaling a thin, simple API layer rather than having to scale the more complex CMS infrastructure (including the database). This diagram also shows an approach to logging, by asynchronously publishing a message to a queue (Redis in this case), which can be picked up later and persisted by a different process. Does it work? Beautifully. Using Azure, I spiked the solution above (including the Redis logging framework which I’ll blog about later) in half a day. That included setting up different roles in Umbraco to demonstrate a managed workflow for publishing changes, and a couple of document types representing different resources. Is it maintainable? We have three moving parts, which are all managed resources in Azure –  an Azure Website for Umbraco which may need a couple of instances for HA (or may not, depending on how long the content can be cached), a message queue (Redis is in preview in Azure, but you can easily use Service Bus Queues if performance is less of a concern), and the Web Role for the API. Two of the components are off-the-shelf, from open source projects, and the only custom code is the API which is very simple. Does it scale? Pretty nicely. With a single Umbraco instance running as an Azure Website, and with 4x instances for my API layer (Standard sized Web Roles), I got just under 4,000 requests per second served reliably, with a Worker Role in the background saving the access logs. So we had a nice UI to publish app config changes, with a friendly Web preview and a publishing workflow, capable of supporting 14 million requests in an hour, with less than a day’s effort. Worth considering if you’re publishing long-lived resources through your API.

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  • Binary to strings as binary? C #/.NET

    - by acidzombie24
    Redis keys are binary safe. I'd like to mess around and put binary into redis using C#. My client of choice doesn't support writing binary keys it uses keys and it make sense. However i am just fooling around so tell me how i can do this. How do i convert a raw byte[] into a string? At first i was thinking about converting a byte[] to a utf8 string however unicode has some checks to see if its valid or not. So raw binary should fail. Actually i tried it out. Instead of failing i got a strange result. My main question is how do i convert a raw byte[] to the equivalent string? My unimportant question is why did i get a 512 byte string instead of an exception saying this is not a valid UTF8 string? code var rainbow = new byte[256]; for (int i = 0; i < 256; i++) { rainbow[i] = (byte)i; } var sz = Encoding.UTF8.GetString(rainbow); var szarr = Encoding.UTF8.GetBytes(sz); Console.WriteLine("{0} {1} {2}", ByteArraysEqual(szarr, rainbow), szarr.Length, rainbow.Length); Output False 512 256

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  • Which key:value store to use with Python?

    - by Kurt
    So I'm looking at various key:value (where value is either strictly a single value or possibly an object) stores for use with Python, and have found a few promising ones. I have no specific requirement as of yet because I am in the evaluation phase. I'm looking for what's good, what's bad, what are the corner cases these things handle well or don't, etc. I'm sure some of you have already tried them out so I'd love to hear your findings/problems/etc. on the various key:value stores with Python. I'm looking primarily at: memcached - http://www.danga.com/memcached/ python clients: http://pypi.python.org/pypi/python-memcached/1.40 http://www.tummy.com/Community/software/python-memcached/ CouchDB - http://couchdb.apache.org/ python clients: http://code.google.com/p/couchdb-python/ Tokyo Tyrant - http://1978th.net/tokyotyrant/ python clients: http://code.google.com/p/pytyrant/ Lightcloud - http://opensource.plurk.com/LightCloud/ Based on Tokyo Tyrant, written in Python Redis - http://code.google.com/p/redis/ python clients: http://pypi.python.org/pypi/txredis/0.1.1 MemcacheDB - http://memcachedb.org/ So I started benchmarking (simply inserting keys and reading them) using a simple count to generate numeric keys and a value of "A short string of text": memcached: CentOS 5.3/python-2.4.3-24.el5_3.6, libevent 1.4.12-stable, memcached 1.4.2 with default settings, 1 gig memory, 14,000 inserts per second, 16,000 seconds to read. No real optimization, nice. memcachedb claims on the order of 17,000 to 23,000 inserts per second, 44,000 to 64,000 reads per second. I'm also wondering how the others stack up speed wise.

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