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• Connecting to MySQL Server from PHP Command Line (MAMP)

  - by Austin White

  First of all, I'm using Mac OSX 1.6, MAMP 1.9, PHP 5.3.4, and MySQL 5.1.44. I'm in the process of setting up a video encoding service for a site using Chris Boulton's PHP-Resque and Redis. Once the worker process is fired and the videos have been encoded, I need to save their locations to a mysql database. The php script is being run from the shell, so that is where the issue begins. I import the mysql settings and when it attempts to connect, I get the following errors: Warning: mysqli::mysqli(): php_network_getaddresses: getaddrinfo failed: nodename nor servname provided, or not known in /Users/austingym/Documents/Dropbox/Website/htdocs/homefree/lib/MySQLi_Extended.class.php on line 24 Warning: mysqli::mysqli(): [2002] php_network_getaddresses: getaddrinfo failed: nodename nor servn (trying to connect via tcp://MYSQL_SERVER:3306) in /Users/austingym/Documents/Dropbox/Website/htdocs/homefree/lib/MySQLi_Extended.class.php on line 24 Warning: mysqli::mysqli(): (HY000/2002): php_network_getaddresses: getaddrinfo failed: nodename nor servname provided, or not known in /Users/austingym/Documents/Dropbox/Website/htdocs/homefree/lib/MySQLi_Extended.class.php on line 24 Warning: mysqli::set_charset(): Couldn't fetch MySQLi_Extended in /Users/austingym/Documents/Dropbox/Website/htdocs/homefree/lib/MySQLi_Extended.class.php on line 32 I realize that the error is occurring because it's trying to connect to tcp://MYSQL_SERVER:3306, when MySQL is on port 8889. I've been reading about Mac OSX and MAMP errors regarding the mysql.sock and I've gone through multiple forums and tried various fixes, but none have worked. I've tried PATH=/Applications/MAMP/Library/bin/:/Applications/MAMP/bin/php5.3/bin/:/opt/local/bin:/opt/local/sbin:$PATH and sudo ln -s /Applications/MAMP/tmp/mysql/mysql.sock /tmp/mysql.sock but neither have worked. I even ran a search on my machine for "3306" to find where it's being set, but because that's the normal default, I'm guessing it's not being set explicitly. Any clues on how to fix this rather challenging error?

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• CentOS centralised logging, syslogd, rsyslog, syslog-ng, logstash sender?

  - by benbradley

  I'm trying to figure out the best way to setup a central place to store and interrogate server logs. syslog, Apache, MySQL etc. I've found a few different options but I'm not sure what would be best. I'm looking for something that is easy to install and keep updated on many virtual machines. I can add it to a VM template going forward but I'd also like it to be easy to install to keep the VM complexity down. The options I've found so far are: syslogd syslog-ng rsyslog syslogd/syslog-ng/rsyslog to logstash/ElasticSearch logstash agent in each log "client" to send to Redis/logstash/ElasticSearch And all sorts of permutations of the above. What's the most resilient and light from the log "client" perspective? I'd like to avoid the situation where log "clients" hang because they are unable to send their logs to the logging server. Also I would still like to keep local logging and the rotation/retention provided by logrotate in place. Any ideas/suggestions or reasons for or against any of the above? Or suggestions of a different structure entirely? Cheers, B

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• master-slave datastore replication, automatic failover, and wackamole

  - by z8000

  I have 2 dedicated servers provisioned for my next project's datastores. The datastores are configured for master-slave replication. There's no inherent automatic failover but I of course want this. That is, I'd love for access to the master datastore to always just work without having to configure a client library to detect when a master is down and failover to the slave. I've seen Wackamole which is based on the Spread Toolkit. You provide Wackamole with a set of IPs and a bunch of nodes, and regardless of the up/down state of any of the nodes, those IPs will stay available/up. Wackamole detects when a node goes down and ARPs the IP(s) that were up on the now-down node. It's pretty neat actually. So, my thought was to use Wackamole to keep the 2 virtual private IPs available/up. Clients would then just always use the same private IP to access the master datastore and the same but distinct IP for the slave datastore, even if those IPs were hosted on the same node. My datastore servers are accessed over a private network. I am unsure if this messes with Wackamole though. Is this lunacy? How do you generally handle automatic failover of private services like a datastore. FWIW, it shouldn't matter but the datastore is Redis. I don't want to hear "use mySQL" please :) Thanks.

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• Using gitlab behind Apache proxy all generated urls are wrong

  - by Hippyjim

  I've set up Gitlab on Ubuntu 12.04 using the default package from https://about.gitlab.com/downloads/ {edit to clarify} I've set up Apache to proxy and run the nginx server the package installed on port 8888 (or so I thought). As I had Apache installed already I have to run nginx on localhost:8888. The problem is, all images (such as avatars) are now served from http://localhost:8888, and all the checkout urls Gitlab gives are also localhost - instead of using my domain name. If I change /etc/gitlab/gitlab.rb to use that url, then Gitlab stops working and gives a 503. Any ideas how I can tell Gitlab what URL to present to the world, even though it's really running on localhost? /etc/gitlab/gitlab.rb looks like: # Change the external_url to the address your users will type in their browser external_url 'http://my.local.domain' redis['port'] = 6379 postgresql['port'] = 2345 unicorn['port'] = 3456 and /opt/gitlab/embedded/conf/nginx.conf looks like: server { listen localhost:8888; server_name my.local.domain; [Update] It looks like nginx is still listening on the wrong port if I don't specify localhost:8888 as the external_url. I found this in /var/log/gitlab/nginx/error.log 2014/08/19 14:29:58 [emerg] 2526#0: bind() to 0.0.0.0:80 failed (98: Address already in use) 2014/08/19 14:29:58 [emerg] 2526#0: bind() to 0.0.0.0:80 failed (98: Address already in use) 2014/08/19 14:29:58 [emerg] 2526#0: bind() to 0.0.0.0:80 failed (98: Address already in use) 2014/08/19 14:29:58 [emerg] 2526#0: bind() to 0.0.0.0:80 failed (98: Address already in use) 2014/08/19 14:29:58 [emerg] 2526#0: bind() to 0.0.0.0:80 failed (98: Address already in use) 2014/08/19 14:29:58 [emerg] 2526#0: still could not bind() Apache setup looks like: <VirtualHost *:80> ServerName my.local.domain ServerSignature Off ProxyPreserveHost On AllowEncodedSlashes NoDecode <Location /> ProxyPass http://localhost:8888/ ProxyPassReverse http://127.0.0.1:8888 ProxyPassReverse http://my.local.domain </Location> </VirtualHost> Which seems to proxy everything back ok if Gitlab listens on localhost:8888 - I just need Gitlab to start displaying the right URL, instead of localhost:8888.

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• Mesh Networked servers via vpn

  - by microspino

  I got a design idea and I would like to have some advice from SF about It. I have 5 customers with small real-estate databases. I've built for them a desktop app and now they would like to merge their database to share their data. I don't want to centralize everything in one place nor I want to do maintenance for servers. They told me also, that all of them in their offices, have little servers and maintenance guys available. Although everything seems suitable for web application, I had the idea to experiment something new: Any customer small-server wild be connected to the others in a sort of mesh network without a single point of failure and through VPNs. If one of the servers went down the customers could still connect to their databases from one of the other mesh networked servers instead of from the local one that is down. During normal operations all the servers sync the db with the others through VPNs. I can accept a half-day timing window of NON synched data, in other words, since I don't need real time synchronization, the server don't have to always stay in synch. I can migrate my data over to other Non-Sql technologies like CouchDB or Redis or whatever you suggest. As you can see I don't have a lot of constraints and although I could go with a web application I would like to delegate and decentralize support, data-privacy and management, as more as I can to my customers offices. Is that a crazy idea? Do you know If something similar exist? Which technology would you suggest?

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• Large, high performance object or key/value store for HTTP serving on Linux

  - by Tommy

  I have a service that serves images to end users at a very high rate using plain HTTP. The images vary between 4 and 64kbytes, and there are 1.300.000.000 of them in total. The dataset is about 30TiB in size and changes (new objects, updates, deletes) make out less than 1% of the requests. The number of requests pr. second vary from 240 to 9000 and is dispersed pretty much all over, with few objects being especially "hot". As of now, these images are files on a ext3 filesystem distributed read only across a large amount of mid range servers. This poses several problems: Using a fileysystem is very inefficient since the metadata size is large, the inode/dentry cache is volatile on linux and some daemons tend to stat()/readdir() it's way through the directory structure, which in my case becomes very expensive. Updating the dataset is very time consuming and requires remounting between set A and B. The only reasonable handling is operating on the block device for backup, copying, etc. What I would like is a deamon that: speaks HTTP (get, put, delete and perhaps update) stores data it in an efficient structure. The index should remain in memory, and considering the amount of objects, the overhead must be small. The software should be able to handle massive connections with slow (if any) time needed to ramp up. Index should be read in memory at startup. Statistics would be nice, but not mandatory. I have experimented a bit with riak, redis, mongodb, kyoto and varnish with persistent storage, but I haven't had the chance to dig in really deep yet.

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• How to push changes from Test server to Live server?

  - by anonymous

  As a beginner, I finally noticed the issue with making changes to the live server I've been working on, now that I have a couple users on it, since I bring it down so often. I created an EC2 image of my live server and set up a separate instance on EC2, so now I have 2 EC2 instances, Stage and Production. I set up GitHub and push changes to stage and test my code there, and when it's all done and working, I push it to the production branch, and everything is good. And there is a slight issue here since I name my files config_stage.js and config_production.js and set up .gitignore on each server, and in my code, I would have it read the ENV flags and set up the appropriate configs, is this the correct approach? And my main question is: how do you keep track of non-code changes to the server? For example, I installed HAProxy, Stunnel, Redis, MongoDB and several other things onto the Stage server for testing and now that it's all working and good, how do I deploy them to production? Right now, I'm just keeping track of everything I installed and copying configuration files over, which is very tedious and I'm afraid I may have missed a step somewhere. Is there a better way to port these changes over from my test server to my live server?

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• Configuring iptables rules for HAProxy and others

  - by MLister

  I have the following relevant settings for HAProxy: defaults log global mode http option httplog option dontlognull retries 3 option redispatch maxconn 500 contimeout 5s clitimeout 15s srvtimeout 15s frontend public bind *:80 option http-server-close option http-pretend-keepalive option forwardfor # ACLs ... I have three backends (including a Nginx server) configured in HAProxy, all listening on different ports of 127.0.0.1. And my iptables config is this: *filter # Allows all loopback (lo0) traffic and drop all traffic to 127/8 that doesn't use lo0 -A INPUT -i lo -j ACCEPT -A INPUT -i lo -d 127.0.0.0/8 -j REJECT # Accepts all established inbound connections -A INPUT -m state --state ESTABLISHED,RELATED -j ACCEPT # Allows all outbound traffic # You can modify this to only allow certain traffic -A OUTPUT -j ACCEPT # Allows HTTP and HTTPS connections from anywhere (the normal ports for websites) -A INPUT -p tcp --dport 80 -j ACCEPT -A INPUT -p tcp --dport 443 -j ACCEPT # Allows SSH connections # # THE -dport NUMBER IS THE SAME ONE YOU SET UP IN THE SSHD_CONFIG FILE # -A INPUT -p tcp -m state --state NEW --dport 22 -j ACCEPT # Allow ping -A INPUT -p icmp -m icmp --icmp-type 8 -j ACCEPT # log iptables denied calls -A INPUT -m limit --limit 5/min -j LOG --log-prefix "iptables denied: " --log-level 7 # Reject all other inbound - default deny unless explicitly allowed policy -A INPUT -j REJECT -A FORWARD -j REJECT COMMIT My questions are: Would the above iptables config work with the settings/options in my HAProxy config? I am also runnning a postgres and a redis server on the same machine, what settings do I need to adjust for these two to enable them work with iptables?

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• What scalability problems have you solved using a NoSQL data store?

  - by knorv

  NoSQL refers to non-relational data stores that break with the history of relational databases and ACID guarantees. Popular open source NoSQL data stores include: Cassandra (tabular, written in Java, used by Facebook, Twitter, Digg, Rackspace, Mahalo and Reddit) CouchDB (document, written in Erlang, used by Engine Yard and BBC) Dynomite (key-value, written in C++, used by Powerset) HBase (key-value, written in Java, used by Bing) Hypertable (tabular, written in C++, used by Baidu) Kai (key-value, written in Erlang) MemcacheDB (key-value, written in C, used by Reddit) MongoDB (document, written in C++, used by Sourceforge, Github, Electronic Arts and NY Times) Neo4j (graph, written in Java, used by Swedish Universities) Project Voldemort (key-value, written in Java, used by LinkedIn) Redis (key-value, written in C, used by Engine Yard, Github and Craigslist) Riak (key-value, written in Erlang, used by Comcast and Mochi Media) Ringo (key-value, written in Erlang, used by Nokia) Scalaris (key-value, written in Erlang, used by OnScale) ThruDB (document, written in C++, used by JunkDepot.com) Tokyo Cabinet/Tokyo Tyrant (key-value, written in C, used by Mixi.jp (Japanese social networking site)) I'd like to know about specific problems you - the SO reader - have solved using data stores and what NoSQL data store you used. Questions: What scalability problems have you used NoSQL data stores to solve? What NoSQL data store did you use? What database did you use before switching to a NoSQL data store? I'm looking for first-hand experiences, so please do not answer unless you have that.

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• How do we greatly optimize our MySQL database (or replace it) when using joins?

  - by jkaz

  Hi there, This is the first time I'm approaching an extremely high-volume situation. This is an ad server based on MySQL. However, the query that is used incorporates a lot of JOINs and is generally just slow. (This is Rails ActiveRecord, btw) sel = Ads.find(:all, :select = '*', :joins = "JOIN campaigns ON ads.campaign_id = campaigns.id JOIN users ON campaigns.user_id = users.id LEFT JOIN countries ON countries.campaign_id = campaigns.id LEFT JOIN keywords ON keywords.campaign_id = campaigns.id", :conditions = [flashstr + "keywords.word = ? AND ads.format = ? AND campaigns.cenabled = 1 AND (countries.country IS NULL OR countries.country = ?) AND ads.enabled = 1 AND campaigns.dailyenabled = 1 AND users.uenabled = 1", kw, format, viewer['country'][0]], :order = order, :limit = limit) My questions: Is there an alternative database like MySQL that has JOIN support, but is much faster? (I know there's Postgre, still evaluating it.) Otherwise, would firing up a MySQL instance, loading a local database into memory and re-loading that every 5 minutes help? Otherwise, is there any way I could switch this entire operation to Redis or Cassandra, and somehow change the JOIN behavior to match the (non-JOIN-able) nature of NoSQL? Thank you!

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• Capturing time intervals when somebody was online? How would you impement this feature?

  - by Kirzilla

  Hello, Our aim is to build timelines saying about periods of time when user was online. (It really doesn't matter what user we are talking about and where he was online) To get information about onliners we can call API method, someservice.com/api/?call=whoIsOnline whoIsOnline method will give us a list of users currently online. But there is no API method to get information about who IS NOT online. So, we should build our timelines using information we got from whoIsOnline. Of course there will be a measurement error (we can't track information in realtime). Let's suppose that we will call whoIsOnline method every 2 minutes (yes, we will run our script by cron every 2 minutes). For example, calling whoIsOnline at 08:00 will return Peter_id Michal_id Andy_id calling whoIsOnline at 08:02 will return Michael_id Andy_id George_id As you can see, Peter has gone offline, but we have new onliner - George. Available instruments are Db(MySQL) / text files / key-value storage (Redis/memcache); feel free to choose any of them (or even all of them). So, we have to get information like this George_id was online... 12 May: 08:02-08:30, 12:40-12:46, 20:14-22:36 11 May: 09:10-12:30, 21:45-23:00 10 May: was not online And now question... How would you store information to implement such timelines? How would you query/calculate information about periods of time when user was online? Additional information.. You cannot update information about offline users, only users who are "currently" online. Solution should be flexible: timeline information could be represented relating to any timezone. We should keep information only for last 7 days. Every user seen online is automatically getting his own identifier in our database. Uff.. it was really hard for me to write it because my English is pretty bad, but I hope my question will be clear for you. Thank you.

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• Simplest distributed persistent key/value store that supports primary key range queries

  - by StaxMan

  I am looking for a properly distributed (i.e. not just sharded) and persisted (not bounded by available memory on single node, or cluster of nodes) key/value ("nosql") store that does support range queries by primary key. So far closest such system is Cassandra, which does above. However, it adds support for other features that are not essential for me. So while I like it (and will consider using it of course), I am trying to figure out if there might be other mature projects that implement what I need. Specifically, for me the only aspect of value I need is to access it as a blob. For key, however, I need range queries (as in, access values ordered, limited by start and/or end values). While values can have structures, there is no need to use that structure for anything on server side (can do client-side data binding, flexible value/content types etc). For added bonus, Cassandra style storage (journaled, all sequential writes) seems quite optimal for my use case. To help filter out answers, I have investigated some alternatives within general domain like: Voldemort (key/value, but no ordering) and CouchDB (just sharded, more batch-oriented); and am aware of systems that are not quite distributed while otherwise qualifying (bdb variants, tokyo cabinet itself (not sure if Tyrant might qualify), redis (in-memory store only)).

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• how does one _model_ data from relational databases in clojure ?

  - by sandeep

  I have asked this question on twitter as well the #clojure IRC channel, yet got no responses. There have been several articles about Clojure-for-Ruby-programmers, Clojure-for-lisp-programmers.. but what is the missing part is Clojure for ActiveRecord programmers . There have been articles about interacting with MongoDB, Redis, etc. - but these are key value stores at the end of the day. However, coming from a Rails background, we are used to thinking about databases in terms of inheritance - has_many, polymorphic, belongs_to, etc. The few articles about Clojure/Compojure + MySQL (ffclassic) - delve right into sql. Of course, it might be that an ORM induces impedence mismatch, but the fact remains that after thinking like ActiveRecord, it is very difficult to think any other way. I believe that relational DBs, lend themselves very well to the object-oriented paradigm because of them being , essentially, Sets. Stuff like activerecord is very well suited for modelling this data. For e.g. a blog - simply put class Post < ActiveRecord::Base has_many :comments end class Comment < ActiveRecord::Base belongs_to :post end How does one model this in Clojure - which is so strictly anti-OO ? Perhaps the question would have been better if it referred to all functional programming languages, but I am more interested from a Clojure standpoint (and Clojure examples)

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• Resque: Slow worker startup and Forking

  - by David John

  I'm currently moving my application from a Linode setup to EC2. Redis is currently installed on a remote instance with various worker instances interacting with the queue. Thats all going fantastic. My problem is with the amount of time it takes for a worker to be 'instantiated' and slow forking. Starting a worker will usually take between 30 seconds and a minute(from god.rb starting the worker rake task and the worker actively starting work on the queue). I could live with that, but I've not experienced such a wait time on my current Linode production box so I believe its one of my symptoms to a bigger problem. Next issue is that jobs that took a second or less in my previous environment now seem to take about 5 to 10 times longer.. I'm assuming this must be some sort of issue with my Ubuntu install on EC2? One notable difference is that I'm running REE 1.8.7-2010.01 in my new setup, and REE 1.8.6 on the old Linode boxes. Anyone else experienced these issues?

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• Is it better to use a relational database or document-based database for an app like Wufoo?

  - by mboyle

  I'm working on an application that's similar to Wufoo in that it allows our users to create their own databases and collect/present records with auto generated forms and views. Since every user is creating a different schema (one user might have a database of their baseball card collection, another might have a database of their recipes) our current approach is using MySQL to create separate databases for every user with its own tables. So in other words, the databases our MySQL server contains look like: main-web-app-db (our web app containing tables for users account info, billing, etc) user_1_db (baseball_cards_table) user_2_db (recipes_table) .... And so on. If a user wants to set up a new database to keep track of their DVD collection, we'd do a "create database ..." with "create table ...". If they enter some data in and then decide they want to change a column we'd do an "alter table ....". Now, the further along I get with building this out the more it seems like MySQL is poorly suited to handling this. 1) My first concern is that switching databases every request, first to our main app's database for authentication etc, and then to the user's personal database, is going to be inefficient. 2) The second concern I have is that there's going to be a limit to the number of databases a single MySQL server can host. Pretending for a moment this application had 500,000 user databases, is MySQL designed to operate this way? What if it were a million, or more? 3) Lastly, is this method going to be a nightmare to support and scale? I've never heard of MySQL being used in this way so I do worry about how this affects things like replication and other methods of scaling. To me, it seems like MySQL wasn't built to be used in this way but what do I know. I've been looking at document-based databases like MongoDB, CouchDB, and Redis as alternatives because it seems like a schema-less approach to this particular problem makes a lot of sense. Can anyone offer some advice on this?

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• Just 2 free months 2 learn or improve my skills

  - by microspino

  On the 30 of June I will leave my every day work to start as freelance developer. I'd like to set a period of 2 months apart to improve my dev skills. At work I code in C# and during my spare time I enjoyed building Ruby on Rails web applications and creating some Arduino prototypes. I'm something more than junior but I don't feel really a senior developer because I never had a big corporate project built and designed by me with help of other juniors (although I don't think this is really a good definiton of a "senior", It helps describing my feelings). Using a scale from 0 (ignorant) to 10 (proficient like a "samurai") the list below describes my skills that I would like to improve with just 2 months. I've already bought some nice and updated books on all the subjects hereunder: The order doesn't matter C = 1 C# & .Net = 6 Arduino & Processing = 2 Ruby = 5 Rails = 5 HTML/XHTML/CSS = 9 Javascript = 6 Objective-C/iPhone dev = 2 Python = 4 Django = 4 Desing Patterns = 3 Algorythms = 3 Git = 5 I haven't included SQL or Databases in general nor Networking because I spent 10 years working in the past with them and I feel pretty solid for now. As an aside, I've made up some interest in Redis, Node.js, HTML5 reading about them on the web. After two months, since I have to pay my bills, I could go searching for some new job. If learning and developing were really good maybe I could also invest on something I gave birth during them. Can You give me some piece of advice on which you think It's better to improve or develop a learning project on (something like a "summer of code" thing)? The all point Is to see my weeknesses and work on them.

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• Just 2 free months to learn or improve my skills

  - by microspino

  On the 30 of June I will leave my every day work to start as freelance developer. I'd like to set a period of 2 months apart to improve my dev skills. At work I code in C# and during my spare time I enjoyed building Ruby on Rails web applications and creating some Arduino prototypes. I'm something more than junior but I don't feel really a senior developer because I never had a big corporate project built and designed by me with help of other juniors (although I don't think this is really a good definiton of a "senior", It helps describing my feelings). Using a scale from 0 (ignorant) to 10 (proficient like a "samurai") the list below describes my skills that I would like to improve with just 2 months. I've already bought some nice and updated books on all the subjects hereunder: The order doesn't matter C = 1 C# & .Net = 6 Arduino & Processing = 2 Ruby = 5 Rails = 5 HTML/XHTML/CSS = 9 Javascript = 6 Objective-C/iPhone dev = 2 Python = 4 Django = 4 Desing Patterns = 3 Algorythms = 3 Git = 5 I haven't included SQL or Databases in general nor Networking because I spent 10 years working in the past with them and I feel pretty solid for now. As an aside, I've made up some interest in Redis, Node.js, HTML5 reading about them on the web. After two months, since I have to pay my bills, I could go searching for some new job. If learning and developing were really good maybe I could also invest on something I gave birth during them. Can You give me some piece of advice on which you think It's better to improve or develop a learning project on (something like a "summer of code" thing)? The all point Is to see my weaknesses and work on them.

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• Ruby integer to string key

  - by Gene

  A system I'm building needs to convert non-negative Ruby integers into shortest-possible UTF-8 string values. The only requirement on the strings is that their lexicographic order be identical to the natural order on integers. What's the best Ruby way to do this? We can assume the integers are 32 bits and the sign bit is 0. This is successful: (i >> 24).chr + ((i >> 16) & 0xff).chr + ((i >> 8) & 0xff).chr + (i & 0xff).chr But it appears to be 1) garbage-intense and 2) ugly. I've also looked at pack solutions, but these don't seem portable due to byte order. FWIW, the application is Redis hash field names. Building keys may be a performance bottleneck, but probably not. This question is mostly about the "Ruby way".

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• Web services or shared database for (game) server communication?

  - by jaaronfarr

  We have 2 server clusters: the first is made up of typical web applications backed by SQL databases. The second are highly optimized multiplayer game servers which keep all data in memory. Both clusters communicate with clients via HTTP (Ajax with JSON). There are a few cases in which we need to share data between the two server types, for example, reporting back and storing the results of a game (should ultimately end up in the database). We're considering several approaches for inter-server communication: Just share the MySQL databases between clusters (introduce SQL to the game servers) Sharing data in a distributed key-value store like Memcache, Redis, etc. Use an RPC technology like Google ProtoBufs or Apache Thrift Using RESTful web services (the game server would POST back to the web servers, for example) At the moment, we're leaning towards web services or just sharing the database. Sharing the database seems easy, but we're concerned this adds extra memory and a new dependency into the game servers. Web services provide good separation of concerns and fit with the existing Ajax we use, but add complexity, overhead and many more ways for communication to fail. Are there any other good reasons not to use one or the other approach? Which would be easier to scale?

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• rc.local on ubuntu on ec2 will not work

  - by Tampa

  Below are the contents of my rc.local file. When I run sudo /etc/rc.local it works fine. When I boot up and instance. I expect monit to be installed but it is not. I am at a total loss. I usually use rc.local but this is rather confunsing. #!/bin/sh -e # # rc.local # # This script is executed at the end of each multiuser runlevel. # Make sure that the script will "exit 0" on success or any other # value on error. # # In order to enable or disable this script just change the execution # bits. # # By default this script does nothing. apt-get -y install monit /etc/init.d/monit stop cd /home/ubuntu/workspace/rtbopsConfig/ git fetch git checkout origin/master rtb_ec2_boot/ec2_boot.py git checkout origin/master config/ cp /home/ubuntu/workspace/rtbopsConfig/config/monit/redis/monitrc /etc/monit/ /usr/bin/python /home/ubuntu/workspace/rtbopsConfig/rtb_ec2_boot/ec2_boot.py >> /home/ubuntu/workspace/ec2_boot.txt 2>&1 /etc/init.d/monit start chkconfig monit on exit 0

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• How to store and collect data for mining such information as most viewed for last 24 hours, last 7 d

  - by Kirzilla

  Hello, Let's imagine that we have high traffic project (a tube site) which should provide sorting using this options (NOT IN REAL TIME). Number of videos is about 200K and all information about videos is stored in MySQL. Number of daily video views is about 1.5KK. As instruments we have Hard Disk Drive (text files), MySQL, Redis. Views top viewed top viewed last 24 hours top viewed last 7 days top viewed last 30 days top rated last 365 days How should I store such information? The first idea is to log all visits to text files (single file per hour, for example visits_20080101_00.log). At the beginning of each hour calculate views per video for previous hour and insert this information into MySQL. Then recalculate totals (for last 24 hours) and update statistics in tables. At the beginning of every day we have to do the same but recalculate for last 7 days, last 30 days, last 365 days. This method seems to be very poor for me because we have to store information about last 365 days for each video to make correct calculations. Is there any other good methods? Probably, we have to choose another instruments for this? Thank you.

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• Architecture of finding movable geotagged objects

  - by itsme

  I currently have a Postgres DB filled with approx. 300.000 data-sets of moving vehicles all over the world. My very frequently repeated query is: Give me all vehicles in a 5/10/20mile radius. Currently I spend around 600 to 1200 ms in the DB to prepare the set of located vehicle-objects. I am looking to vastly improve this time by ideally one or two orders of magnitude if possible. I am working in a Ruby on Rails 3.0beta environment if this is relevant. Any ideas how to architect the whole system to accelerate this query? Any NoSQL database able to deliver this kind of geolocation performance? I know of MongoDB working on an extension to facilitate this scenario but haven't tried it yet. Any intelligent use of Redis to achieve this? One problem with SQL-DBs here seems to be that I can't possibly use indexes because my vehicles are mostly moving around, meaning I had to constantly created DB indexes which, by itself, is probably more expensive than just doing the searching without index. Looking forward to your thoughs, Thanks!

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• PHP at the root directory using Ngnix on Linode and Ubuntu 12.04

  - by Steve Kinney

  I originally set up my Linode to use it with the Sinatra applications using Phusion Passenger that I was developing and I have it working great for that. However, as time goes on, I find myself needing just a wee bit of PHP to do a server-side thing here or there. My basic set up was based off of this Linode recipe (I copied and pasted the parts that I needed—I did not install Redis and Node). If I go to http://scholarsnyc.com/index.php everything works great. If I just go the base URL however, I get a 403 Forbidden error (I have a vanilla HTML page there for now). I've played with file permissions and the same file will work if I call it directly. I've done my homework and nothing I try seems to work. I'm sure there is an obvious error. I'm also sure that there are some rookie mistakes in my Nginx configuration (some of those mistakes are the artifacts of trying different fixes from my research. user www-data www-data; worker_processes 1; events { worker_connections 1024; } upstream php { server 127.0.0.1:9001; } http { passenger_root /usr/local/lib/ruby/gems/1.9.1/gems/passenger-3.0.12; passenger_ruby /usr/local/bin/ruby; include mime.types; default_type application/octet-stream; index index.php index.html index.htm; sendfile on; keepalive_timeout 65; server { server_name localhost scholarsnyc.com www.scholarsnyc.com; root /srv/www/scholarsnyc.com/public; location / { index index.php; } location ~ \.php$ { fastcgi_pass 127.0.0.1:9000; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; include fastcgi_params; } } server { server_name data.scholarsnyc.com; root /srv/www/data.scholarsnyc.com/public; passenger_enabled on; } server { server_name tech.scholarsnyc.com; root /srv/www/tech.scholarsnyc.com/public; location / { root /srv/www/tech.scholarsnyc.com/public; index index.php index.html index.htm; } } } Any other optimizations are also appreciated. I literally don't know what to do at this point.

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• Best way to have common class shared by both C++ and Ruby?

  - by shuttle87

  I am currently working on a project where a team of us are designing a game, all of us are proficient in ruby and some (but not all) of us are proficient in c++. Initially we made the backend in ruby but we ported it to c++ for more speed. The c++ port of the backend has exactly the same features and algorithms as the original ruby code. However we still have a bunch of code in ruby that does useful things but we want it to now get the data from the c++ classes. Our first thought was that we could save some of the data structures in something like XML or redis and call that, but some of the developers don't like that idea. We don't need anything particularly complex data structures to be passed between the different parts of the code, just tuples, strings and ints. Is there any way of integrating the ruby code so that it can call the c++ stuff natively? Will we need to embed code? Will we have to make a ruby extension? If so are there any good resources/tutorials you could suggest? For example say we have this code in the c++ backend: class The_game{ private: bool printinfo; //print the player diagnostic info at the beginning if true int numplayers; std::vector<Player*> players; string current_action; int action_is_on; // the index of the player in the players array that the action is now on //more code here public: Table(std::vector<Player *> in_players, std::vector<Statistics *> player_stats ,const int in_numplayers); ~Table(); void play_game(); History actions_history; }; class History{ private: int action_sequence_number; std::vector<Action*> hand_actions; public: void print_history(); void add_action(Action* the_action_to_be_added); int get_action_sequence_number(){ return action_sequence_number;} bool history_actions_are_equal(); int last_action_size(int street,int number_of_actions_ago); History(); ~History(); }; Is there any way to natively call something in the actions_history via The_game object in ruby? (The objects in the original ruby code all had the same names and functionality) By this I mean: class MyRubyClass def method1(arg1) puts arg1 self.f() # ... but still available puts cpp_method.the_current_game.actions_history.get_action_sequence_number() end # Constructor: def initialize(arg) puts "In constructor with arg #{arg}" #get the c++ object here and call it cpp_method end end Is this possible? Any advice or suggestions are appreciated.

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• Could not find rake-10.1.0 in any of the sources

  - by spuder

  I've got a ruby on rails application (gitlab) which is installed via puppet. Everything on the test system runs fine, but production generates an error about rake Running /home/git/gitlab-shell/bin/check Could not find rake-10.1.0 in any of the sources Run bundle install to install missing gems. Here is the full rake check: root@gitlab:/home/git# sudo -u git -H bundle exec rake gitlab:check RAILS_ENV=production Checking Environment ... Git configured for git user? ... yes Has python2? ... yes python2 is supported version? ... yes Checking Environment ... Finished Checking GitLab Shell ... GitLab Shell version >= 1.7.1 ? ... OK (1.7.1) Repo base directory exists? ... yes Repo base directory is a symlink? ... no Repo base owned by git:git? ... yes Repo base access is drwxrws---? ... yes update hook up-to-date? ... yes update hooks in repos are links: ... Could not find rake-10.1.0 in any of the sources Run `bundle install` to install missing gems. gitlab-shell self-check failed Try fixing it: Make sure GitLab is running; Check the gitlab-shell configuration file: sudo -u git -H editor /home/git/gitlab-shell/config.yml Please fix the error above and rerun the checks. Checking GitLab Shell ... Finished Checking Sidekiq ... Running? ... yes Number of Sidekiq processes ... 1 Checking Sidekiq ... Finished Checking GitLab ... Database config exists? ... yes Database is SQLite ... no All migrations up? ... yes GitLab config exists? ... yes GitLab config outdated? ... no Log directory writable? ... yes Tmp directory writable? ... yes Init script exists? ... yes Init script up-to-date? ... yes projects have namespace: ... Spencer Owen / bar ... yes Projects have satellites? ... Spencer Owen / bar ... can't create, repository is empty Redis version >= 2.0.0? ... yes Your git bin path is "/usr/bin/git" Git version >= 1.7.10 ? ... yes (1.8.4) Checking GitLab ... Finished The step 'gitlab-shell check' effectively runs the following command. If I run that command manually, everything passes. root@gitlab:/home/git/gitlab# sudo -u git -H /home/git/gitlab-shell/bin/check Check GitLab API access: OK Check directories and files: /home/git/repositories: OK /home/git/.ssh/authorized_keys: OK I have verified that rake is in fact installed root@gitlab:/home/git/gitlab# gem install rake -v 10.1.0 root@gitlab:/home/git/gitlab# bundle install root@gitlab:/home/git/gitlab# sudo -u git -H gem install rake -v 10.1.0 root@gitlab:/home/git/gitlab# sudo -u git -H bundle install Ruby is installed with update alternatives root@gitlab:/home/git/gitlab# sudo -u git -H ruby --version ruby 1.9.3p0 (2011-10-30 revision 33570) [x86_64-linux] root@gitlab:/home/git/gitlab# sudo -u git -H ls -l `which ruby` lrwxrwxrwx 1 root root 22 Oct 8 20:26 /usr/bin/ruby -> /etc/alternatives/ruby root@gitlab:/home/git/gitlab# sudo -u git -H gem --version 2.1.10 root@gitlab:/home/git/gitlab# sudo -u git -H ls -l `which gem` lrwxrwxrwx 1 root root 21 Oct 10 20:50 /usr/bin/gem -> /etc/alternatives/gem I've tried the solution mentioned below, to allow shared gems http://stackoverflow.com/questions/19284914/bundle-exec-fails-with-could-not-find-rake-10-1-0-in-any-of-the-sources http://stackoverflow.com/questions/18978002/could-not-find-rake-with-bundle-exec root@gitlab:/home/git/gitlab# cat /home/git/gitlab/.bundle/config --- BUNDLE_FROZEN: '1' BUNDLE_PATH: vendor/bundle BUNDLE_WITHOUT: development:test:postgres BUNDLE_DISABLE_SHARED_GEMS: '1' I've exhausted google, so I'm hoping for someone more familiar with ruby to offer any ideas how to resolve the error. Could not find rake-10.1.0 in any of the sources

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