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  • Brevets : Motorola gagne à son tour contre Microsoft, un tribunal allemand tranche en faveur du constructeur dans l'affaire Android

    Brevets : Microsoft gagne contre Motorola en Allemagne les terminaux Android du constructeur interdits de ventes sur le territoire Les procès Android se poursuivent avec leurs lots de rebondissements, et laissent peu à peu place à des décisions de justice. Après le verdict de l'affaire Google contre Oracle pour violation de brevets Java dans Android, dont le géant de la recherche en est sorti vainqueur, c'est au tour d'un autre gros feuilleton IT qui dure depuis plus d'un an de livrer sa sentence. Un tribunal régional de Munich en Allemagne a arrêté que les téléphones Android de Motorola Mobility violent les brevets de Microsoft. Plus précisément, ces dispositifs empièten...

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  • 'outlier': I/O ???

    - by katsumii
    ??? outlier ???????????????????????????????? - Wikipedia???(????)????????????????????????????????????????????????????????????????outlier site:docs.oracle.com - Google SearchOutlier Update Percent (MRP and Supply Chain Planning Help) Oracle Demantra Implementation Guide OraSVMClassificationSettings (Oracle Data Mining Java API ... Defining a Forecast Set (MRP and Supply Chain Planning Help)????????????????????? I/O ???????????? ????????? 'Exadata' ? 'outlier' ???????????????????????????????Guy Harrison - Yet Another Database Blog - Exadata Smart Flash Logging–Outliersflash log feature was effective in eliminating or at least reducing very extreme outlying redo log sync times.????????? Solaris 11.1 ?? I/O ??????????????????????Oracle Announces Availability of Oracle Solaris 11.1 and Oracle Solaris Cluster 4.1Oracle Solaris 11.1 exposes OracleSolaris DTraceI/O interfaces that allow an Oracle Database administrator to identify I/O outliers and subsequently isolate network or storage bottlenecks.

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  • HTTP Builder/Groovy - lost 302 (redirect) handling?

    - by Misha Koshelev
    Dear All: I am reading here http://groovy.codehaus.org/modules/http-builder/doc/handlers.html "In cases where a response sends a redirect status code, this is handled internally by Apache HttpClient, which by default will simply follow the redirect by re-sending the request to the new URL. You do not need to do anything special in order to follow 302 responses." This seems to work fine when I simply use the get() or post() methods without a closure. However, when I use a closure, I seem to lose 302 handling. Is there some way I can handle this myself? Thank you p.s. Here is my log output showing it is a 302 response [java] FINER: resp.statusLine: "HTTP/1.1 302 Found" Here is the relevant code: // Copyright (C) 2010 Misha Koshelev. All Rights Reserved. package com.mksoft.fbbday.main import groovyx.net.http.ContentType import java.util.logging.Level import java.util.logging.Logger class HTTPBuilder { def dataDirectory HTTPBuilder(dataDirectory) { this.dataDirectory=dataDirectory } // Main logic def logger=Logger.getLogger(this.class.name) def closure={resp,reader-> logger.finer("resp.statusLine: \"${resp.statusLine}\"") if (logger.isLoggable(Level.FINEST)) { def respHeadersString='Headers:'; resp.headers.each() { header->respHeadersString+="\n\t${header.name}=\"${header.value}\"" } logger.finest(respHeadersString) } def text=reader.text def lastHtml=new File("${dataDirectory}${File.separator}last.html") if (lastHtml.exists()) { lastHtml.delete() } lastHtml<<text new XmlSlurper(new org.cyberneko.html.parsers.SAXParser()).parseText(text) } def processArgs(args) { if (logger.isLoggable(Level.FINER)) { def argsString='Args:'; args.each() { arg->argsString+="\n\t${arg.key}=\"${arg.value}\"" } logger.finer(argsString) } args.contentType=groovyx.net.http.ContentType.TEXT args } // HTTPBuilder methods def httpBuilder=new groovyx.net.http.HTTPBuilder () def get(args) { httpBuilder.get(processArgs(args),closure) } def post(args) { args.contentType=groovyx.net.http.ContentType.TEXT httpBuilder.post(processArgs(args),closure) } } Here is a specific tester: #!/usr/bin/env groovy import groovyx.net.http.HTTPBuilder import groovyx.net.http.Method import static groovyx.net.http.ContentType.URLENC import java.util.logging.ConsoleHandler import java.util.logging.Level import java.util.logging.Logger // MUST ENTER VALID FACEBOOK EMAIL AND PASSWORD BELOW !!! def email='' def pass='' // Remove default loggers def logger=Logger.getLogger('') def handlers=logger.handlers handlers.each() { handler->logger.removeHandler(handler) } // Log ALL to Console logger.setLevel Level.ALL def consoleHandler=new ConsoleHandler() consoleHandler.setLevel Level.ALL logger.addHandler(consoleHandler) // Facebook - need to get main page to capture cookies def http = new HTTPBuilder() http.get(uri:'http://www.facebook.com') // Login def html=http.post(uri:'https://login.facebook.com/login.php?login_attempt=1',body:[email:email,pass:pass]) assert html==null // Why null? html=http.post(uri:'https://login.facebook.com/login.php?login_attempt=1',body:[email:email,pass:pass]) { resp,reader-> assert resp.statusLine.statusCode==302 // Shouldn't we be redirected??? // http://groovy.codehaus.org/modules/http-builder/doc/handlers.html // "In cases where a response sends a redirect status code, this is handled internally by Apache HttpClient, which by default will simply follow the redirect by re-sending the request to the new URL. You do not need to do anything special in order to follow 302 responses. " } Here are relevant logs: FINE: Receiving response: HTTP/1.1 302 Found Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << HTTP/1.1 302 Found Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Cache-Control: private, no-store, no-cache, must-revalidate, post-check=0, pre-check=0 Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Expires: Sat, 01 Jan 2000 00:00:00 GMT Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Location: http://www.facebook.com/home.php? Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << P3P: CP="DSP LAW" Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Pragma: no-cache Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Set-Cookie: datr=1275687438-9ff6ae60a89d444d0fd9917abf56e085d370277a6e9ed50c1ba79; expires=Sun, 03-Jun-2012 21:37:24 GMT; path=/; domain=.facebook.com Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Set-Cookie: lxe=koshelev%40post.harvard.edu; expires=Tue, 28-Sep-2010 15:24:04 GMT; path=/; domain=.facebook.com; httponly Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Set-Cookie: lxr=deleted; expires=Thu, 04-Jun-2009 21:37:23 GMT; path=/; domain=.facebook.com; httponly Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Set-Cookie: pk=183883c0a9afab1608e95d59164cc7dd; path=/; domain=.facebook.com; httponly Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Content-Type: text/html; charset=utf-8 Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << X-Cnection: close Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Date: Fri, 04 Jun 2010 21:37:24 GMT Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.DefaultClientConnection receiveResponseHeader FINE: << Content-Length: 0 Jun 4, 2010 4:37:22 PM org.apache.http.client.protocol.ResponseProcessCookies processCookies FINE: Cookie accepted: "[version: 0][name: datr][value: 1275687438-9ff6ae60a89d444d0fd9917abf56e085d370277a6e9ed50c1ba79][domain: .facebook.com][path: /][expiry: Sun Jun 03 16:37:24 CDT 2012]". Jun 4, 2010 4:37:22 PM org.apache.http.client.protocol.ResponseProcessCookies processCookies FINE: Cookie accepted: "[version: 0][name: lxe][value: koshelev%40post.harvard.edu][domain: .facebook.com][path: /][expiry: Tue Sep 28 10:24:04 CDT 2010]". Jun 4, 2010 4:37:22 PM org.apache.http.client.protocol.ResponseProcessCookies processCookies FINE: Cookie accepted: "[version: 0][name: lxr][value: deleted][domain: .facebook.com][path: /][expiry: Thu Jun 04 16:37:23 CDT 2009]". Jun 4, 2010 4:37:22 PM org.apache.http.client.protocol.ResponseProcessCookies processCookies FINE: Cookie accepted: "[version: 0][name: pk][value: 183883c0a9afab1608e95d59164cc7dd][domain: .facebook.com][path: /][expiry: null]". Jun 4, 2010 4:37:22 PM org.apache.http.impl.client.DefaultRequestDirector execute FINE: Connection can be kept alive indefinitely Jun 4, 2010 4:37:22 PM groovyx.net.http.HTTPBuilder doRequest FINE: Response code: 302; found handler: post302$_run_closure2@7023d08b Jun 4, 2010 4:37:22 PM groovyx.net.http.HTTPBuilder doRequest FINEST: response handler result: null Jun 4, 2010 4:37:22 PM org.apache.http.impl.conn.SingleClientConnManager releaseConnection FINE: Releasing connection org.apache.http.impl.conn.SingleClientConnManager$ConnAdapter@605b28c9 You can see there is clearly a location argument. Thank you Misha

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  • Solving embarassingly parallel problems using Python multiprocessing

    - by gotgenes
    How does one use multiprocessing to tackle embarrassingly parallel problems? Embarassingly parallel problems typically consist of three basic parts: Read input data (from a file, database, tcp connection, etc.). Run calculations on the input data, where each calculation is independent of any other calculation. Write results of calculations (to a file, database, tcp connection, etc.). We can parallelize the program in two dimensions: Part 2 can run on multiple cores, since each calculation is independent; order of processing doesn't matter. Each part can run independently. Part 1 can place data on an input queue, part 2 can pull data off the input queue and put results onto an output queue, and part 3 can pull results off the output queue and write them out. This seems a most basic pattern in concurrent programming, but I am still lost in trying to solve it, so let's write a canonical example to illustrate how this is done using multiprocessing. Here is the example problem: Given a CSV file with rows of integers as input, compute their sums. Separate the problem into three parts, which can all run in parallel: Process the input file into raw data (lists/iterables of integers) Calculate the sums of the data, in parallel Output the sums Below is traditional, single-process bound Python program which solves these three tasks: #!/usr/bin/env python # -*- coding: UTF-8 -*- # basicsums.py """A program that reads integer values from a CSV file and writes out their sums to another CSV file. """ import csv import optparse import sys def make_cli_parser(): """Make the command line interface parser.""" usage = "\n\n".join(["python %prog INPUT_CSV OUTPUT_CSV", __doc__, """ ARGUMENTS: INPUT_CSV: an input CSV file with rows of numbers OUTPUT_CSV: an output file that will contain the sums\ """]) cli_parser = optparse.OptionParser(usage) return cli_parser def parse_input_csv(csvfile): """Parses the input CSV and yields tuples with the index of the row as the first element, and the integers of the row as the second element. The index is zero-index based. :Parameters: - `csvfile`: a `csv.reader` instance """ for i, row in enumerate(csvfile): row = [int(entry) for entry in row] yield i, row def sum_rows(rows): """Yields a tuple with the index of each input list of integers as the first element, and the sum of the list of integers as the second element. The index is zero-index based. :Parameters: - `rows`: an iterable of tuples, with the index of the original row as the first element, and a list of integers as the second element """ for i, row in rows: yield i, sum(row) def write_results(csvfile, results): """Writes a series of results to an outfile, where the first column is the index of the original row of data, and the second column is the result of the calculation. The index is zero-index based. :Parameters: - `csvfile`: a `csv.writer` instance to which to write results - `results`: an iterable of tuples, with the index (zero-based) of the original row as the first element, and the calculated result from that row as the second element """ for result_row in results: csvfile.writerow(result_row) def main(argv): cli_parser = make_cli_parser() opts, args = cli_parser.parse_args(argv) if len(args) != 2: cli_parser.error("Please provide an input file and output file.") infile = open(args[0]) in_csvfile = csv.reader(infile) outfile = open(args[1], 'w') out_csvfile = csv.writer(outfile) # gets an iterable of rows that's not yet evaluated input_rows = parse_input_csv(in_csvfile) # sends the rows iterable to sum_rows() for results iterable, but # still not evaluated result_rows = sum_rows(input_rows) # finally evaluation takes place as a chain in write_results() write_results(out_csvfile, result_rows) infile.close() outfile.close() if __name__ == '__main__': main(sys.argv[1:]) Let's take this program and rewrite it to use multiprocessing to parallelize the three parts outlined above. Below is a skeleton of this new, parallelized program, that needs to be fleshed out to address the parts in the comments: #!/usr/bin/env python # -*- coding: UTF-8 -*- # multiproc_sums.py """A program that reads integer values from a CSV file and writes out their sums to another CSV file, using multiple processes if desired. """ import csv import multiprocessing import optparse import sys NUM_PROCS = multiprocessing.cpu_count() def make_cli_parser(): """Make the command line interface parser.""" usage = "\n\n".join(["python %prog INPUT_CSV OUTPUT_CSV", __doc__, """ ARGUMENTS: INPUT_CSV: an input CSV file with rows of numbers OUTPUT_CSV: an output file that will contain the sums\ """]) cli_parser = optparse.OptionParser(usage) cli_parser.add_option('-n', '--numprocs', type='int', default=NUM_PROCS, help="Number of processes to launch [DEFAULT: %default]") return cli_parser def main(argv): cli_parser = make_cli_parser() opts, args = cli_parser.parse_args(argv) if len(args) != 2: cli_parser.error("Please provide an input file and output file.") infile = open(args[0]) in_csvfile = csv.reader(infile) outfile = open(args[1], 'w') out_csvfile = csv.writer(outfile) # Parse the input file and add the parsed data to a queue for # processing, possibly chunking to decrease communication between # processes. # Process the parsed data as soon as any (chunks) appear on the # queue, using as many processes as allotted by the user # (opts.numprocs); place results on a queue for output. # # Terminate processes when the parser stops putting data in the # input queue. # Write the results to disk as soon as they appear on the output # queue. # Ensure all child processes have terminated. # Clean up files. infile.close() outfile.close() if __name__ == '__main__': main(sys.argv[1:]) These pieces of code, as well as another piece of code that can generate example CSV files for testing purposes, can be found on github. I would appreciate any insight here as to how you concurrency gurus would approach this problem. Here are some questions I had when thinking about this problem. Bonus points for addressing any/all: Should I have child processes for reading in the data and placing it into the queue, or can the main process do this without blocking until all input is read? Likewise, should I have a child process for writing the results out from the processed queue, or can the main process do this without having to wait for all the results? Should I use a processes pool for the sum operations? If yes, what method do I call on the pool to get it to start processing the results coming into the input queue, without blocking the input and output processes, too? apply_async()? map_async()? imap()? imap_unordered()? Suppose we didn't need to siphon off the input and output queues as data entered them, but could wait until all input was parsed and all results were calculated (e.g., because we know all the input and output will fit in system memory). Should we change the algorithm in any way (e.g., not run any processes concurrently with I/O)?

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  • How Should I Generate Trade Statistics For CouchDB/Rails3 Application?

    - by James
    My Problem: I am trying to developing a web application for currency traders. The application allows traders to enter or upload information about their trades and I want to calculate a wide variety of statistics based on what the user entered. Now, normally I would use a relational database for this, but I have two requirements that don't fit well with a relational database so I am attempting to use couchdb. Those two problems are: 1) Primarily, I have a companion desktop application that users will be able to work with and replicate to the site using couchdb's awesome replication feature and 2) I would like to allow users to be able to define their own custom things to track about trades and generate results based off of what they enter. The schema less nature of couch seems perfect here, but it may end up being harder than it sounds. (I already know couch requires you to define views in advance and such so I was just planning on sticking all the custom attributes in an array and then emitting the array in the view and further processing from there.) What I Am Doing: Right now I am just emitting each trade in couch keyed by each user's system and querying with the key of the system to get an array of trades per system. Simple. I am not using a reduce function currently to calculate any stats because I couldn't figure out how to get everything I need without getting a reduce overflow error. Here is an example of rows that are getting emitted from couch: {"total_rows":134,"offset":0,"rows":[ {"id":"5b1dcd47221e160d8721feee4ccc64be", "key":["80e40ba2fa43589d57ec3f1d19db41e6","2010/05/14 04:32:37 +0000"], null, "doc":{ "_id":"5b1dcd47221e160d8721feee4ccc64be", "_rev":"1-bc9fe763e2637694df47d6f5efb58e5b", "couchrest-type":"Trade", "system":"80e40ba2fa43589d57ec3f1d19db41e6", "pair":"EUR/USD", "direction":"Buy", "entry":12600, "exit":12700, "stop_loss":12500, "profit_target":12700, "status":"Closed", "slug":"101332132375", "custom_tracking": [{"name":"signal", "value":"Pin Bar"}] "updated_at":"2010/05/14 04:32:37 +0000", "created_at":"2010/05/14 04:32:37 +0000", "result":100}} ]} In my rails 3 controller I am basically just populating an array of trades such as the one above and then extracting out the relevant data into smaller arrays that I can compute my statistics on. Here is my show action for the page that I want to display the stats and all the trades: def show @trades = Trade.by_system(:startkey => [@system.id], :endkey => [@system.id, Time.now ]) @trades.each do |trade| if trade.result > 0 @winning_trades << trade.result elsif trade.result < 0 @losing_trades << trade.result else @breakeven_trades << trade.result end if trade.direction == "Buy" @long_trades << trade.result else @short_trades << trade.result end if trade["custom_tracking"] != nil @custom_tracking << {"result" => trade.result, "variables" => trade["custom_tracking"]} end end end I am omitting some other stuff that is going on, but that is the gist of what I am doing. Then I am calculating stuff in the view layer to produce some results: <% winning_long_trades = @long_trades.reject {|trade| trade <= 0 } %> <% winning_short_trades = @short_trades.reject {|trade| trade <= 0 } %> <ul> <li>Total Trades: <%= @trades.count %></li> <li>Winners: <%= @winning_trades.size %></li> <li>Biggest Winner (Pips): <%= @winning_trades.max %></li> <li>Average Win(Pips): <%= @winning_trades.sum/@winning_trades.size %></li> <li>Losers: <%= @losing_trades.size %></li> <li>Biggest Loser (Pips): <%= @losing_trades.min %></li> <li>Average Loss(Pips): <%= @losing_trades.sum/@losing_trades.size %></li> <li>Breakeven Trades: <%= @breakeven_trades.size %></li> <li>Long Trades: <%= @long_trades.size %></li> <li>Winning Long Trades: <%= winning_long_trades.size %></li> <li>Short Trades: <%= @short_trades.size %></li> <li>Winning Short Trades: <%= winning_short_trades.size %></li> <li>Total Pips: <%= @winning_trades.sum + @losing_trades.sum %></li> <li>Win Rate (%): <%= @winning_trades.size/@trades.count.to_f * 100 %></li> </ul> This produces the following results, which aside from a few things is exactly what I want: Total Trades: 134 Winners: 70 Biggest Winner (Pips): 1488 Average Win(Pips): 440 Losers: 58 Biggest Loser (Pips): -516 Average Loss(Pips): -225 Breakeven Trades: 6 Long Trades: 125 Winning Long Trades: 67 Short Trades: 9 Winning Short Trades: 3 Total Pips: 17819 Win Rate (%): 52.23880597014925 What I Am Wondering- Finally The Actual Questions: I am starting to get really skeptical of how well this method will work when a user has 5,000 trades instead of just 134 like in this example. I anticipate most users will only have somewhere under 200 per year, but some users may have a couple thousand trades per year. Probably no more than 5,000 per year. It seems to work ok now, but the page load times are already getting a tad high for my tastes. (About 800ms to generate the page according to rails logs with about a 250ms of that spent in the view layer.) I will end up caching this page I am sure, but I still need the regenerate the page each time a trade is updated and I can't afford to have this be too slow. Sooo..... Is doing something similar here possible with a straight couchdb reduce function? I am assuming handing this off to couch would possibly help with larger data sets. I couldn't figure out how, but I suppose that doesn't mean it isn't possible. If possible, any hints will be helpful. Could I use a list function if a reduce was not available due to reduce constraints? Are couchdb list functions suitable for this type of calculations? Anyone have any idea of whether or not list functions perform well? Any hints what one would look like for the type of calculations I am trying to achieve? I thought about other options such as running the calculations at the time each trade was saved or nightly if I had to and saving the results to a statistics doc that I could then query so that all the processing was done ahead of time. I would like this to be the last resort because then I can't really filter out trades by time periods dynamically like I would really like to. (I want to have a slider that a user can slide to only show trades from that time period using the startkey and endkey in couchdb if I can.) If I should continue running the calculations inside the rails app at the time of the page view, what can I do to improve my current implementation. I am new to rails, couch and programming in general. I am sure that I could be doing something better here. Do I need to create an array for each stat or is there a better way to do that. I guess I just would really like some advice on how to tackle this problem. I want to keep the page generation time minimal since I anticipate these being some of the highest trafficked pages. My gut is that I will need to offload the statistics calculation to either couch or run the stats in advance of when they are called, but I am not sure. Lastly: Like I mentioned above, one of the primary reasons for using couch is to allow users to define their own things to track per trade. Getting the data into couch is no problem, but how would I be able to take the custom_tracking array and find how many winning trades for each named tracking attribute. If anyone can give me any hints to the possibility of doing this that would be great. Thanks a bunch. Would really appreciate any help. Willing to fork out some $$$ if someone wants to take on the problem for me. (Don't know if that is allowed on stack overflow or not.)

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  • WordPress not resizing images with Nginx + php-fpm and other issues

    - by Julian Fernandes
    Recently i setup a Ubuntu 12.04 VPS with 512mb/1ghz CPU, Nginx + php-fpm + Varnish + APC + Percona's MySQL server + CloudFlare Pro for our Ubuntu LoCo Team's WordPress blog. The blog get about 3~4k daily hits, use about 180MB and 8~20% CPU. Everything seems to be working insanely fast... page load is really good and is about 16x faster than any of our competitors... but there is one problem. When we upload a image, WordPress don't resize it, so all we can do it insert the full image in the post. If the imagem have, let's say, 30kb, it resize fine... but if the image have 100kb+, it won't... In nginx error logs i see this: upstream timed out (110: Connection timed out) while reading response header from upstream, client: 150.162.216.64, server: www.ubuntubrsc.com, request: "POST /wp-admin/async-upload.php HTTP/1.1", upstream: "fastcgi://unix:/var/run/php5-fpm.sock:", host: "www.ubuntubrsc.com", referrer: "http://www.ubuntubrsc.com/wp-admin/media-upload.php?post_id=2668&" It seems to be related with the issue, but i dunno. When that timeout happens, i started to get it when i'm trying to view a post too: upstream timed out (110: Connection timed out) while reading response header from upstream, client: 150.162.216.64, server: www.ubuntubrsc.com, request: "GET /tutoriais-gimp-6-adicionando-aplicando-novos-pinceis.html HTTP/1.1", upstream: "fastcgi://unix:/var/run/php5-fpm.sock:", host: "www.ubuntubrsc.com", referrer: "http://www.ubuntubrsc.com/" And only a restart of php5-fpm fix it. I tryed increasing some timeouts and stuffs but it did not worked, so i guess it's some kind of limitation i did not figured yet. Could someone help me with it, please? /etc/nginx/nginx.conf: user www-data; worker_processes 1; pid /var/run/nginx.pid; events { worker_connections 1024; use epoll; multi_accept on; } http { ## # Basic Settings ## sendfile on; tcp_nopush on; tcp_nodelay off; keepalive_timeout 15; keepalive_requests 2000; types_hash_max_size 2048; server_tokens off; server_name_in_redirect off; open_file_cache max=1000 inactive=300s; open_file_cache_valid 360s; open_file_cache_min_uses 2; open_file_cache_errors off; server_names_hash_bucket_size 64; # server_name_in_redirect off; client_body_buffer_size 128K; client_header_buffer_size 1k; client_max_body_size 2m; large_client_header_buffers 4 8k; client_body_timeout 10m; client_header_timeout 10m; send_timeout 10m; include /etc/nginx/mime.types; default_type application/octet-stream; ## # Logging Settings ## error_log /var/log/nginx/error.log; access_log off; ## # CloudFlare's IPs (uncomment when site goes live) ## set_real_ip_from 204.93.240.0/24; set_real_ip_from 204.93.177.0/24; set_real_ip_from 199.27.128.0/21; set_real_ip_from 173.245.48.0/20; set_real_ip_from 103.22.200.0/22; set_real_ip_from 141.101.64.0/18; set_real_ip_from 108.162.192.0/18; set_real_ip_from 190.93.240.0/20; real_ip_header CF-Connecting-IP; set_real_ip_from 127.0.0.1/32; ## # Gzip Settings ## gzip on; gzip_disable "msie6"; gzip_vary on; gzip_proxied any; gzip_comp_level 9; gzip_min_length 1000; gzip_proxied expired no-cache no-store private auth; gzip_buffers 32 8k; # gzip_http_version 1.1; gzip_types text/plain text/css application/json application/x-javascript text/xml application/xml application/xml+rss text/javascript; ## # nginx-naxsi config ## # Uncomment it if you installed nginx-naxsi ## #include /etc/nginx/naxsi_core.rules; ## # nginx-passenger config ## # Uncomment it if you installed nginx-passenger ## #passenger_root /usr; #passenger_ruby /usr/bin/ruby; ## # Virtual Host Configs ## include /etc/nginx/conf.d/*.conf; include /etc/nginx/sites-enabled/*; } /etc/nginx/fastcgi_params: fastcgi_param QUERY_STRING $query_string; fastcgi_param REQUEST_METHOD $request_method; fastcgi_param CONTENT_TYPE $content_type; fastcgi_param CONTENT_LENGTH $content_length; fastcgi_param SCRIPT_FILENAME $request_filename; fastcgi_param SCRIPT_NAME $fastcgi_script_name; fastcgi_param REQUEST_URI $request_uri; fastcgi_param DOCUMENT_URI $document_uri; fastcgi_param DOCUMENT_ROOT $document_root; fastcgi_param SERVER_PROTOCOL $server_protocol; fastcgi_param GATEWAY_INTERFACE CGI/1.1; fastcgi_param SERVER_SOFTWARE nginx/$nginx_version; fastcgi_param REMOTE_ADDR $remote_addr; fastcgi_param REMOTE_PORT $remote_port; fastcgi_param SERVER_ADDR $server_addr; fastcgi_param SERVER_PORT $server_port; fastcgi_param SERVER_NAME $server_name; fastcgi_param HTTPS $https; fastcgi_send_timeout 180; fastcgi_read_timeout 180; fastcgi_buffer_size 128k; fastcgi_buffers 256 4k; # PHP only, required if PHP was built with --enable-force-cgi-redirect fastcgi_param REDIRECT_STATUS 200; /etc/nginx/sites-avaiable/default: ## # DEFAULT HANDLER # ubuntubrsc.com ## server { listen 8080; # Make site available from main domain server_name www.ubuntubrsc.com; # Root directory root /var/www; index index.php index.html index.htm; include /var/www/nginx.conf; access_log off; location / { try_files $uri $uri/ /index.php?q=$uri&$args; } location = /favicon.ico { log_not_found off; access_log off; } location = /robots.txt { allow all; log_not_found off; access_log off; } location ~ /\. { deny all; access_log off; log_not_found off; } location ~* ^/wp-content/uploads/.*.php$ { deny all; access_log off; log_not_found off; } rewrite /wp-admin$ $scheme://$host$uri/ permanent; error_page 404 = @wordpress; log_not_found off; location @wordpress { include /etc/nginx/fastcgi_params; fastcgi_pass unix:/var/run/php5-fpm.sock; fastcgi_param SCRIPT_NAME /index.php; fastcgi_param SCRIPT_FILENAME $document_root/index.php; } location ~ \.php$ { try_files $uri =404; include /etc/nginx/fastcgi_params; fastcgi_index index.php; fastcgi_param SCRIPT_FILENAME $document_root$fastcgi_script_name; if (-f $request_filename) { fastcgi_pass unix:/var/run/php5-fpm.sock; } } } server { listen 8080; server_name ubuntubrsc.* www.ubuntubrsc.net www.ubuntubrsc.org www.ubuntubrsc.com.br www.ubuntubrsc.info www.ubuntubrsc.in; return 301 $scheme://www.ubuntubrsc.com$request_uri; } /var/www/nginx.conf: # BEGIN W3TC Minify cache location ~ /wp-content/w3tc/min.*\.js$ { types {} default_type application/x-javascript; expires modified 31536000s; add_header X-Powered-By "W3 Total Cache/0.9.2.5b"; add_header Vary "Accept-Encoding"; add_header Pragma "public"; add_header Cache-Control "max-age=31536000, public, must-revalidate, proxy-revalidate"; } location ~ /wp-content/w3tc/min.*\.css$ { types {} default_type text/css; expires modified 31536000s; add_header X-Powered-By "W3 Total Cache/0.9.2.5b"; add_header Vary "Accept-Encoding"; add_header Pragma "public"; add_header Cache-Control "max-age=31536000, public, must-revalidate, proxy-revalidate"; } location ~ /wp-content/w3tc/min.*js\.gzip$ { gzip off; types {} default_type application/x-javascript; expires modified 31536000s; add_header X-Powered-By "W3 Total Cache/0.9.2.5b"; add_header Vary "Accept-Encoding"; add_header Pragma "public"; add_header Cache-Control "max-age=31536000, public, must-revalidate, proxy-revalidate"; add_header Content-Encoding gzip; } location ~ /wp-content/w3tc/min.*css\.gzip$ { gzip off; types {} default_type text/css; expires modified 31536000s; add_header X-Powered-By "W3 Total Cache/0.9.2.5b"; add_header Vary "Accept-Encoding"; add_header Pragma "public"; add_header Cache-Control "max-age=31536000, public, must-revalidate, proxy-revalidate"; add_header Content-Encoding gzip; } # END W3TC Minify cache # BEGIN W3TC Browser Cache gzip on; gzip_types text/css application/x-javascript text/x-component text/richtext image/svg+xml text/plain text/xsd text/xsl text/xml image/x-icon; location ~ \.(css|js|htc)$ { expires 31536000s; add_header Pragma "public"; add_header Cache-Control "max-age=31536000, public, must-revalidate, proxy-revalidate"; add_header X-Powered-By "W3 Total Cache/0.9.2.5b"; } location ~ \.(html|htm|rtf|rtx|svg|svgz|txt|xsd|xsl|xml)$ { expires 3600s; add_header Pragma "public"; add_header Cache-Control "max-age=3600, public, must-revalidate, proxy-revalidate"; add_header X-Powered-By "W3 Total Cache/0.9.2.5b"; try_files $uri $uri/ $uri.html /index.php?$args; } location ~ \.(asf|asx|wax|wmv|wmx|avi|bmp|class|divx|doc|docx|eot|exe|gif|gz|gzip|ico|jpg|jpeg|jpe|mdb|mid|midi|mov|qt|mp3|m4a|mp4|m4v|mpeg|mpg|mpe|mpp|otf|odb|odc|odf|odg|odp|ods|odt|ogg|pdf|png|pot|pps|ppt|pptx|ra|ram|svg|svgz|swf|tar|tif|tiff|ttf|ttc|wav|wma|wri|xla|xls|xlsx|xlt|xlw|zip)$ { expires 31536000s; add_header Pragma "public"; add_header Cache-Control "max-age=31536000, public, must-revalidate, proxy-revalidate"; add_header X-Powered-By "W3 Total Cache/0.9.2.5b"; } # END W3TC Browser Cache # BEGIN W3TC Minify core rewrite ^/wp-content/w3tc/min/w3tc_rewrite_test$ /wp-content/w3tc/min/index.php?w3tc_rewrite_test=1 last; set $w3tc_enc ""; if ($http_accept_encoding ~ gzip) { set $w3tc_enc .gzip; } if (-f $request_filename$w3tc_enc) { rewrite (.*) $1$w3tc_enc break; } rewrite ^/wp-content/w3tc/min/(.+\.(css|js))$ /wp-content/w3tc/min/index.php?file=$1 last; # END W3TC Minify core # BEGIN W3TC Skip 404 error handling by WordPress for static files if (-f $request_filename) { break; } if (-d $request_filename) { break; } if ($request_uri ~ "(robots\.txt|sitemap(_index)?\.xml(\.gz)?|[a-z0-9_\-]+-sitemap([0-9]+)?\.xml(\.gz)?)") { break; } if ($request_uri ~* \.(css|js|htc|htm|rtf|rtx|svg|svgz|txt|xsd|xsl|xml|asf|asx|wax|wmv|wmx|avi|bmp|class|divx|doc|docx|eot|exe|gif|gz|gzip|ico|jpg|jpeg|jpe|mdb|mid|midi|mov|qt|mp3|m4a|mp4|m4v|mpeg|mpg|mpe|mpp|otf|odb|odc|odf|odg|odp|ods|odt|ogg|pdf|png|pot|pps|ppt|pptx|ra|ram|svg|svgz|swf|tar|tif|tiff|ttf|ttc|wav|wma|wri|xla|xls|xlsx|xlt|xlw|zip)$) { return 404; } # END W3TC Skip 404 error handling by WordPress for static files # BEGIN Better WP Security location ~ /\.ht { deny all; } location ~ wp-config.php { deny all; } location ~ readme.html { deny all; } location ~ readme.txt { deny all; } location ~ /install.php { deny all; } set $susquery 0; set $rule_2 0; set $rule_3 0; rewrite ^wp-includes/(.*).php /not_found last; rewrite ^/wp-admin/includes(.*)$ /not_found last; if ($request_method ~* "^(TRACE|DELETE|TRACK)"){ return 403; } set $rule_0 0; if ($request_method ~ "POST"){ set $rule_0 1; } if ($uri ~ "^(.*)wp-comments-post.php*"){ set $rule_0 2$rule_0; } if ($http_user_agent ~ "^$"){ set $rule_0 4$rule_0; } if ($rule_0 = "421"){ return 403; } if ($args ~* "\.\./") { set $susquery 1; } if ($args ~* "boot.ini") { set $susquery 1; } if ($args ~* "tag=") { set $susquery 1; } if ($args ~* "ftp:") { set $susquery 1; } if ($args ~* "http:") { set $susquery 1; } if ($args ~* "https:") { set $susquery 1; } if ($args ~* "(<|%3C).*script.*(>|%3E)") { set $susquery 1; } if ($args ~* "mosConfig_[a-zA-Z_]{1,21}(=|%3D)") { set $susquery 1; } if ($args ~* "base64_encode") { set $susquery 1; } if ($args ~* "(%24&x)") { set $susquery 1; } if ($args ~* "(\[|\]|\(|\)|<|>|ê|\"|;|\?|\*|=$)"){ set $susquery 1; } if ($args ~* "(&#x22;|&#x27;|&#x3C;|&#x3E;|&#x5C;|&#x7B;|&#x7C;|%24&x)"){ set $susquery 1; } if ($args ~* "(%0|%A|%B|%C|%D|%E|%F|127.0)") { set $susquery 1; } if ($args ~* "(globals|encode|localhost|loopback)") { set $susquery 1; } if ($args ~* "(request|select|insert|concat|union|declare)") { set $susquery 1; } if ($http_cookie !~* "wordpress_logged_in_" ) { set $susquery "${susquery}2"; set $rule_2 1; set $rule_3 1; } if ($susquery = 12) { return 403; } # END Better WP Security /etc/php5/fpm/php-fpm.conf: pid = /var/run/php5-fpm.pid error_log = /var/log/php5-fpm.log emergency_restart_threshold = 3 emergency_restart_interval = 1m process_control_timeout = 10s events.mechanism = epoll /etc/php5/fpm/php.ini (only options i changed): open_basedir ="/var/www/" disable_functions = pcntl_alarm,pcntl_fork,pcntl_waitpid,pcntl_wait,pcntl_wifexited,pcntl_wifstopped,pcntl_wifsignaled,pcntl_wexitstatus,pcntl_wtermsig,pcntl_wstopsig,pcntl_signal,pcntl_signal_dispatch,pcntl_get_last_error,pcntl_strerror,pcntl_sigprocmask,pcntl_sigwaitinfo,pcntl_sigtimedwait,pcntl_exec,pcntl_getpriority,pcntl_setpriority,dl,system,shell_exec,fsockopen,parse_ini_file,passthru,popen,proc_open,proc_close,shell_exec,show_source,symlink,proc_close,proc_get_status,proc_nice,proc_open,proc_terminate,shell_exec ,highlight_file,escapeshellcmd,define_syslog_variables,posix_uname,posix_getpwuid,apache_child_terminate,posix_kill,posix_mkfifo,posix_setpgid,posix_setsid,posix_setuid,escapeshellarg,posix_uname,ftp_exec,ftp_connect,ftp_login,ftp_get,ftp_put,ftp_nb_fput,ftp_raw,ftp_rawlist,ini_alter,ini_restore,inject_code,syslog,openlog,define_syslog_variables,apache_setenv,mysql_pconnect,eval,phpAds_XmlRpc,phpA ds_remoteInfo,phpAds_xmlrpcEncode,phpAds_xmlrpcDecode,xmlrpc_entity_decode,fp,fput,virtual,show_source,pclose,readfile,wget expose_php = off max_execution_time = 30 max_input_time = 60 memory_limit = 128M display_errors = Off post_max_size = 2M allow_url_fopen = off default_socket_timeout = 60 APC settings: [APC] apc.enabled = 1 apc.shm_segments = 1 apc.shm_size = 64M apc.optimization = 0 apc.num_files_hint = 4096 apc.ttl = 60 apc.user_ttl = 7200 apc.gc_ttl = 0 apc.cache_by_default = 1 apc.filters = "" apc.mmap_file_mask = "/tmp/apc.XXXXXX" apc.slam_defense = 0 apc.file_update_protection = 2 apc.enable_cli = 0 apc.max_file_size = 10M apc.stat = 1 apc.write_lock = 1 apc.report_autofilter = 0 apc.include_once_override = 0 apc.localcache = 0 apc.localcache.size = 512 apc.coredump_unmap = 0 apc.stat_ctime = 0 /etc/php5/fpm/pool.d/www.conf user = www-data group = www-data listen = /var/run/php5-fpm.sock listen.owner = www-data listen.group = www-data listen.mode = 0666 pm = ondemand pm.max_children = 5 pm.process_idle_timeout = 3s; pm.max_requests = 50 I also started to get 404 errors in front page if i use W3 Total Cache's Page Cache (Disk Enhanced). It worked fine untill somedays ago, and then, out of nowhere, it started to happen. Tonight i will disable my mobile plugin and activate only W3 Total Cache to see if it's a conflict with them... And to finish all this, i have been getting this error: PHP Warning: apc_store(): Unable to allocate memory for pool. in /var/www/wp-content/plugins/w3-total-cache/lib/W3/Cache/Apc.php on line 41 I already modifed my APC settings, but no sucess. So... could anyone help me with those issuees, please? Ooohh... if it helps, i instaled PHP like this: sudo apt-get install php5-fpm php5-suhosin php-apc php5-gd php5-imagick php5-curl And Nginx from the official PPA. Sorry for my bad english and thanks for your time people! (:

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  • WPF performance : Converters vs. Triggers

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  • Predicate in Java

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    I'm interesting in incorporating the Android UI pattern called "Quick Action". Basically, it's a context menu that doesn't cover up the data that is being acted on. I'd like to implement this but I cannot find an API to help me out or some sample code. Note this UI pattern is discussed in the YouTube video, http://www.youtube.com/watch?v=M1ZBjlCRfz0 at time 15:35. Does anyone have an implementation of this or know what google's standard for adding this to an application?

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