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  • Nginx and PHP-FPM running out of connections

    - by E3pO
    I keep running into errors like these, [02-Jun-2012 01:52:04] WARNING: [pool www] seems busy (you may need to increase pm.start_servers, or pm.min/max_spare_servers), spawning 8 children, there are 19 idle, and 49 total children [02-Jun-2012 01:52:05] WARNING: [pool www] seems busy (you may need to increase pm.start_servers, or pm.min/max_spare_servers), spawning 16 children, there are 19 idle, and 50 total children [02-Jun-2012 01:52:06] WARNING: [pool www] seems busy (you may need to increase pm.start_servers, or pm.min/max_spare_servers), spawning 32 children, there are 19 idle, and 51 total children [02-Jun-2012 03:10:51] WARNING: [pool www] seems busy (you may need to increase pm.start_servers, or pm.min/max_spare_servers), spawning 8 children, there are 18 idle, and 91 total children I changed my settings for php-fpm to these, pm.max_children = 150 (It was at 100, i got a max_children reached and upped to 150) pm.start_servers = 75 pm.min_spare_servers = 20 pm.max_spare_servers = 150 Resulting in [02-Jun-2012 01:39:19] WARNING: [pool www] server reached pm.max_children setting (150), consider raising it I've just launched a new website that is getting a conciderable amount of traffic on it. This traffic is legitimate and users are getting 504 gateway timeouts when the limit is reached. I have limited connections to my server with IPTABLES and I'm running fail2ban and keeping track of nginx access logs. The traffic is all legitimate, i'm just running out of room for users. I'm currently running on a dual core box with ubuntu 64bit. free total used free shared buffers cached Mem: 6114284 5726984 387300 0 141612 4985384 -/+ buffers/cache: 599988 5514296 Swap: 524284 5804 518480 My php.ini max_input_time = 60 My nginx config is worker_processes 4; pid /var/run/nginx.pid; events { worker_connections 19000; # multi_accept on; } worker_rlimit_nofile 20000; #each connection needs a filehandle (or 2 if you are proxying) client_max_body_size 30M; client_body_timeout 10; client_header_timeout 10; keepalive_timeout 5 5; send_timeout 10; location ~ \.php$ { try_files $uri /er/error.php; fastcgi_split_path_info ^(.+\.php)(/.+)$; fastcgi_connect_timeout 60; fastcgi_send_timeout 180; fastcgi_read_timeout 180; fastcgi_buffer_size 128k; fastcgi_buffers 256 16k; fastcgi_busy_buffers_size 256k; fastcgi_temp_file_write_size 256k; fastcgi_max_temp_file_size 0; fastcgi_intercept_errors on; fastcgi_pass unix:/tmp/php5-fpm.sock; fastcgi_index index.php; include fastcgi_params; } What can I do to stop running out of connections? Why does this keep occurring? I'm monitoring my traffic on Google Analytics realtime and when the user count gets above about 120 my php-fpm.log is full of these warnings..

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  • External hard drive FAT32 to NTFS conversion fails

    - by Pieter
    I'm trying to convert the FAT32 file system of an external hard drive to NTFS. Here's what happened: C:\Windows\system32>chkdsk G: The type of the file system is FAT32. Volume PIETEREXT created 3/19/2008 12:43 Volume Serial Number is 1806-2E30 Windows is verifying files and folders... File and folder verification is complete. Windows has scanned the file system and found no problems. No further action is required. 488,264,768 KB total disk space. 72,192 KB in 1,503 hidden files. 1,281,792 KB in 40,029 folders. 309,235,168 KB in 199,915 files. 177,675,584 KB are available. 32,768 bytes in each allocation unit. 15,258,274 total allocation units on disk. 5,552,362 allocation units available on disk. C:\Windows\system32>cd \ C:\>convert g: /fs:ntfs The type of the file system is FAT32. Enter current volume label for drive G: PIETEREXT Volume PIETEREXT created 3/19/2008 12:43 Volume Serial Number is 1806-2E30 Windows is verifying files and folders... File and folder verification is complete. Windows has scanned the file system and found no problems. No further action is required. 488,264,768 KB total disk space. 72,192 KB in 1,503 hidden files. 1,281,792 KB in 40,029 folders. 309,235,168 KB in 199,915 files. 177,675,584 KB are available. 32,768 bytes in each allocation unit. 15,258,274 total allocation units on disk. 5,552,362 allocation units available on disk. Determining disk space required for file system conversion... Total disk space: 488384001 KB Free space on volume: 177675584 KB Space required for conversion: 975155 KB Converting file system The conversion failed. G: was not converted to NTFS I looked at the TechNet page for my error, but after closing every app the conversion was still failing halfway through. Why does it keep failing? I kept an eye on Task Manager but it didn't look like my system resources were near depletion. I'm using Windows 8.

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  • Apache and MySQL taking all the memory? Maximum connections?

    - by lpfavreau
    I've a had one of our servers going down (network wise) but keeping its uptime (so looks the server is not losing its power) recently. I've asked my hosting company to investigate and I've been told, after investigation, that Apache and MySQL were at all time using 80% of the memory and peaking at 95% and that I might be needing to add some more RAM to the server. One of their justifications to adding more RAM was that I was using the default max connections setting (125 for MySQL and 150 for Apache) and that for handling those 150 simultaneous connections, I would need at least 3Gb of memory instead of the 1Gb I have at the moment. Now, I understand that tweaking the max connections might be better than me leaving the default setting although I didn't feel it was a concern at the moment, having had servers with the same configuration handle more traffic than the current 1 or 2 visitors before the lunch, telling myself I'd tweak it depending on the visits pattern later. I've also always known Apache was more memory hungry under default settings than its competitor such as nginx and lighttpd. Nonetheless, looking at the stats of my machine, I'm trying to see how my hosting company got those numbers. I'm getting: # free -m total used free shared buffers cached Mem: 1000 944 56 0 148 725 -/+ buffers/cache: 71 929 Swap: 1953 0 1953 Which I guess means that yes, the server is reserving around 95% of its memory at the moment but I also thought it meant that only 71 out of the 1000 total were really used by the applications at the moment looking a the buffers/cache row. Also I don't see any swapping: # vmstat 60 procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 0 0 0 57612 151704 742596 0 0 1 1 3 11 0 0 100 0 0 0 0 57604 151704 742596 0 0 0 1 1 24 0 0 100 0 0 0 0 57604 151704 742596 0 0 0 2 1 18 0 0 100 0 0 0 0 57604 151704 742596 0 0 0 0 1 13 0 0 100 0 And finally, while requesting a page: top - 08:33:19 up 3 days, 13:11, 2 users, load average: 0.06, 0.02, 0.00 Tasks: 81 total, 1 running, 80 sleeping, 0 stopped, 0 zombie Cpu(s): 1.3%us, 0.3%sy, 0.0%ni, 98.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1024616k total, 976744k used, 47872k free, 151716k buffers Swap: 2000052k total, 0k used, 2000052k free, 742596k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 24914 www-data 20 0 26296 8640 3724 S 2 0.8 0:00.06 apache2 23785 mysql 20 0 125m 18m 5268 S 1 1.9 0:04.54 mysqld 24491 www-data 20 0 25828 7488 3180 S 1 0.7 0:00.02 apache2 1 root 20 0 2844 1688 544 S 0 0.2 0:01.30 init ... So, I'd like to know, experts of serverfault: Do I really need more RAM at the moment? How do they calculate that for 150 simultaneous connections I'd need 3Gb? Thanks for your help!

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  • Has anyone achieved true differential sync with rsync in ESXi?

    - by Julius
    Berate me later on the fact that I'm using the service console to do anything in ESXi... I've got a working rsync binary (v3.0.4) that I can use in ESXi 4.1U1. I tend to use rsync over cp when copying VM's or backups from one local datastore to another local datastore. I've used rsync to copy data from one ESXi box to another but that was just for small files. In now trying to do true differential syncs of backups taken via ghettoVCB between my primary ESXi machine and a secondary one. But even when I do this locally (one datastore to another datastore on the same ESXi machine) rsync appears to copy the files in their entirety. I've got two VMDK's totally 80GB in size, and rsync still takes anywhere between 1 and 2 hours but the VMDK's aren't growing that much daily. Below is the rsync command I'm executing. I am copying locally because ultimately these files will get copied onto a datastore created from a LUN on a remote system. Its not an rsync that'll be serviced by an rsync daemon on a remote system. rsync -avPSI VMBACKUP_2011-06-10_02-27-56/* VMBACKUP_2011-06-01_06-37-11/ --stats --itemize-changes --existing --modify-window=2 --no-whole-file sending incremental file list >f..t...... VM-flat.vmdk 42949672960 100% 15.06MB/s 0:45:20 (xfer#1, to-check=5/6) >f..t...... VM.vmdk 556 100% 4.24kB/s 0:00:00 (xfer#2, to-check=4/6) >f..t...... VM.vmx 3327 100% 25.19kB/s 0:00:00 (xfer#3, to-check=3/6) >f..t...... VM_1-flat.vmdk 42949672960 100% 12.19MB/s 0:56:01 (xfer#4, to-check=2/6) >f..t...... VM_1.vmdk 558 100% 2.51kB/s 0:00:00 (xfer#5, to-check=1/6) >f..t...... STATUS.ok 30 100% 0.02kB/s 0:00:01 (xfer#6, to-check=0/6) Number of files: 6 Number of files transferred: 6 Total file size: 85899350391 bytes Total transferred file size: 85899350391 bytes Literal data: 2429682778 bytes Matched data: 83469667613 bytes File list size: 129 File list generation time: 0.001 seconds File list transfer time: 0.000 seconds Total bytes sent: 2432530094 Total bytes received: 5243054 sent 2432530094 bytes received 5243054 bytes 295648.92 bytes/sec total size is 85899350391 speedup is 35.24 Is this because ESXi is itself making so many changes to the VMDK's that as far as rsync is concerned the entire file has to be retransmitted? Has anyone actually achieved actual diff sync with ESXi?

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  • Why is my concurrency capacity so low for my web app on a LAMP EC2 instance?

    - by AMF
    I come from a web developer background and have been humming along building my PHP app, using the CakePHP framework. The problem arose when I began the ab (Apache Bench) testing on the Amazon EC2 instance in which the app resides. I'm getting pretty horrendous average page load times, even though I'm running a c1.medium instance (2 cores, 2GB RAM), and I think I'm doing everything right. I would run: ab -n 200 -c 20 http://localhost/heavy-but-view-cached-page.php Here are the results: Concurrency Level: 20 Time taken for tests: 48.197 seconds Complete requests: 200 Failed requests: 0 Write errors: 0 Total transferred: 392111200 bytes HTML transferred: 392047600 bytes Requests per second: 4.15 [#/sec] (mean) Time per request: 4819.723 [ms] (mean) Time per request: 240.986 [ms] (mean, across all concurrent requests) Transfer rate: 7944.88 [Kbytes/sec] received While the ab test is running, I run VMStat, which shows that Swap stays at 0, CPU is constantly at 80-100% (although I'm not sure I can trust this on a VM), RAM utilization ramps up to about 1.6G (leaving 400M free). Load goes up to about 8 and site slows to a crawl. Here's what I think I'm doing right on the code side: In Chrome browser uncached pages typically load in 800-1000ms, and cached pages load in 300-500ms. Not stunning, but not terrible either. Thanks to view caching, there might be at most one DB query per page-load to write session data. So we can rule out a DB bottleneck. I have APC on. I am using Memcached to serve the view cache and other site caches. xhprof code profiler shows that cached pages take up 10MB-40MB in memory and 100ms - 1000ms in wall time. Pages that would be the worst offenders would look something like this in xhprof: Total Incl. Wall Time (microsec): 330,143 microsecs Total Incl. CPU (microsecs): 320,019 microsecs Total Incl. MemUse (bytes): 36,786,192 bytes Total Incl. PeakMemUse (bytes): 46,667,008 bytes Number of Function Calls: 5,195 My Apache config: KeepAlive On MaxKeepAliveRequests 100 KeepAliveTimeout 3 <IfModule mpm_prefork_module> StartServers 5 MinSpareServers 5 MaxSpareServers 10 MaxClients 120 MaxRequestsPerChild 1000 </IfModule> Is there something wrong with the server? Some gotcha with the EC2? Or is it my code? Some obvious setting I should look into? Too many DNS lookups? What am I missing? I really want to get to 1,000 concurrency capacity, but at this rate, it ain't gonna happen.

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  • FAQ: GridView Calculation with JavaScript - Formatting and Validation

    - by Vincent Maverick Durano
    In my previous post here we've talked about how to calculate the sub-totals and grand total in GridView using JavaScript. In this post I'm going take more step further and will demonstrate how are we going to format the totals into a currency and how to validate the input that would only allow you to enter a whole number in the quantity TextBox. Here are the code blocks below: ASPX Source:   <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" > <head runat="server"> <title></title> <script type="text/javascript"> function CalculateTotals() { var gv = document.getElementById("<%= GridView1.ClientID %>"); var tb = gv.getElementsByTagName("input"); var lb = gv.getElementsByTagName("span"); var sub = 0; var total = 0; var indexQ = 1; var indexP = 0; var price = 0; for (var i = 0; i < tb.length; i++) { if (tb[i].type == "text") { ValidateNumber(tb[i]); price = lb[indexP].innerHTML.replace("$", "").replace(",", ""); sub = parseFloat(price) * parseFloat(tb[i].value); if (isNaN(sub)) { lb[i + indexQ].innerHTML = "0.00"; sub = 0; } else { lb[i + indexQ].innerHTML = FormatToMoney(sub, "$", ",", "."); ; } indexQ++; indexP = indexP + 2; total += parseFloat(sub); } } lb[lb.length - 1].innerHTML = FormatToMoney(total, "$", ",", "."); } function ValidateNumber(o) { if (o.value.length > 0) { o.value = o.value.replace(/[^\d]+/g, ''); //Allow only whole numbers } } function isThousands(position) { if (Math.floor(position / 3) * 3 == position) return true; return false; }; function FormatToMoney(theNumber, theCurrency, theThousands, theDecimal) { var theDecimalDigits = Math.round((theNumber * 100) - (Math.floor(theNumber) * 100)); theDecimalDigits = "" + (theDecimalDigits + "0").substring(0, 2); theNumber = "" + Math.floor(theNumber); var theOutput = theCurrency; for (x = 0; x < theNumber.length; x++) { theOutput += theNumber.substring(x, x + 1); if (isThousands(theNumber.length - x - 1) && (theNumber.length - x - 1 != 0)) { theOutput += theThousands; }; }; theOutput += theDecimal + theDecimalDigits; return theOutput; } </script> </head> <body> <form id="form1" runat="server"> <asp:gridview ID="GridView1" runat="server" ShowFooter="true" AutoGenerateColumns="false"> <Columns> <asp:BoundField DataField="RowNumber" HeaderText="Row Number" /> <asp:BoundField DataField="Description" HeaderText="Item Description" /> <asp:TemplateField HeaderText="Item Price"> <ItemTemplate> <asp:Label ID="LBLPrice" runat="server" Text='<%# Eval("Price","{0:C}") %>'></asp:Label> </ItemTemplate> </asp:TemplateField> <asp:TemplateField HeaderText="Quantity"> <ItemTemplate> <asp:TextBox ID="TXTQty" runat="server" onkeyup="CalculateTotals();"></asp:TextBox> </ItemTemplate> <FooterTemplate> <b>Total Amount:</b> </FooterTemplate> </asp:TemplateField> <asp:TemplateField HeaderText="Sub-Total"> <ItemTemplate> <asp:Label ID="LBLSubTotal" runat="server" ForeColor="Green" Text="0.00"></asp:Label> </ItemTemplate> <FooterTemplate> <asp:Label ID="LBLTotal" runat="server" ForeColor="Green" Font-Bold="true" Text="0.00"></asp:Label> </FooterTemplate> </asp:TemplateField> </Columns> </asp:gridview> </form> </body> </html> Code Behind Source:   public partial class GridCalculation : System.Web.UI.Page { private void BindDummyDataToGrid() { DataTable dt = new DataTable(); DataRow dr = null; dt.Columns.Add(new DataColumn("RowNumber", typeof(string))); dt.Columns.Add(new DataColumn("Description", typeof(string))); dt.Columns.Add(new DataColumn("Price", typeof(decimal))); dr = dt.NewRow(); dr["RowNumber"] = 1; dr["Description"] = "Nike"; dr["Price"] = "1000"; dt.Rows.Add(dr); dr = dt.NewRow(); dr["RowNumber"] = 2; dr["Description"] = "Converse"; dr["Price"] = "800"; dt.Rows.Add(dr); dr = dt.NewRow(); dr["RowNumber"] = 3; dr["Description"] = "Adidas"; dr["Price"] = "500"; dt.Rows.Add(dr); dr = dt.NewRow(); dr["RowNumber"] = 4; dr["Description"] = "Reebok"; dr["Price"] = "750"; dt.Rows.Add(dr); dr = dt.NewRow(); dr["RowNumber"] = 5; dr["Description"] = "Vans"; dr["Price"] = "1100"; dt.Rows.Add(dr); dr = dt.NewRow(); dr["RowNumber"] = 6; dr["Description"] = "Fila"; dr["Price"] = "200"; dt.Rows.Add(dr); //Bind the Gridview GridView1.DataSource = dt; GridView1.DataBind(); } protected void Page_Load(object sender, EventArgs e) { if (!IsPostBack) { BindDummyDataToGrid(); } } } Running the code above will display something like this: On initial load After entering the quantity in the TextBox That's it! I hope someone find this post useful! Technorati Tags: ASP.NET,C#,ADO.NET,JavaScript,GridView

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  • links for 2010-03-15

    - by Bob Rhubart
    ComputerworldUK: Morrison boosts IT investment by £200 million "[I]mproving efficiencies in areas such as manufacturing and distribution...helped the company make total savings of £526 million, surpassing its expected cost savings of £460 million. A total £43 million in cost savings was due to the IT investment." -- Anh Nguyen, ComputerworldUK (h/t to Brian Dayton for the link) (tags: oracle investment informationtechnology soasuite fusionmiddleware)

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  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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  • Raid 5 mdadm Problem - Help Please

    - by user66260
    My Raid 5 array (4 1tb Disks WD10EARS) had was showing as degraded. I looked and one of the disks wasnt installed, so i re-added it with the mdadm add command. the array is now showing as (null)Array , but cant be mounted if i run: root@warren-P5K-E:/home/warren# sudo mdadm --misc --detail /dev/md0 I get: mdadm: cannot open /dev/md0: No such file or directory and running: root@warren-P5K-E:/home/warren# cat /proc/mdstat gives me: Personalities : [linear] [multipath] [raid0] [raid1] [raid6] [raid5] [raid4] [raid10] unused devices: < none > The data is very important root@warren-P5K-E:/home/warren# mdadm --examine /dev/sda /dev/sda: Magic : a92b4efc Version : 0.90.00 UUID : 00000000:00000000:00000000:00000000 Creation Time : Sat May 26 12:08:14 2012 Raid Level : -unknown- Raid Devices : 0 Total Devices : 4 Preferred Minor : 0 Update Time : Sat May 26 12:08:40 2012 State : active Active Devices : 0 Working Devices : 4 Failed Devices : 0 Spare Devices : 4 Checksum : 82d5b792 - correct Events : 1 Number Major Minor RaidDevice State this 1 8 0 1 spare /dev/sda 0 0 8 16 0 spare /dev/sdb 1 1 8 0 1 spare /dev/sda 2 2 8 32 2 spare /dev/sdc 3 3 8 48 3 spare /dev/sdd root@warren-P5K-E:/home/warren# mdadm --examine /dev/sdb /dev/sdb: Magic : a92b4efc Version : 0.90.00 UUID : 00000000:00000000:00000000:00000000 Creation Time : Sat May 26 12:08:14 2012 Raid Level : -unknown- Raid Devices : 0 Total Devices : 4 Preferred Minor : 0 Update Time : Sat May 26 12:08:40 2012 State : active Active Devices : 0 Working Devices : 4 Failed Devices : 0 Spare Devices : 4 Checksum : 82d5b7a0 - correct Events : 1 Number Major Minor RaidDevice State this 0 8 16 0 spare /dev/sdb 0 0 8 16 0 spare /dev/sdb 1 1 8 0 1 spare /dev/sda 2 2 8 32 2 spare /dev/sdc 3 3 8 48 3 spare /dev/sdd root@warren-P5K-E:/home/warren# oot@warren-P5K-E:/home/warren# mdadm --examine /dev/sdc /dev/sdc: Magic : a92b4efc Version : 0.90.00 UUID : 00000000:00000000:00000000:00000000 Creation Time : Sat May 26 12:08:14 2012 Raid Level : -unknown- Raid Devices : 0 Total Devices : 4 Preferred Minor : 0 Update Time : Sat May 26 12:08:40 2012 State : active Active Devices : 0 Working Devices : 4 Failed Devices : 0 Spare Devices : 4 Checksum : 82d5b7b4 - correct Events : 1 Number Major Minor RaidDevice State this 2 8 32 2 spare /dev/sdc 0 0 8 16 0 spare /dev/sdb 1 1 8 0 1 spare /dev/sda 2 2 8 32 2 spare /dev/sdc 3 3 8 48 3 spare /dev/sdd root@warren-P5K-E:/home/warren# mdadm --examine /dev/sdd /dev/sdd: Magic : a92b4efc Version : 0.90.00 UUID : 00000000:00000000:00000000:00000000 Creation Time : Sat May 26 12:08:14 2012 Raid Level : -unknown- Raid Devices : 0 Total Devices : 4 Preferred Minor : 0 Update Time : Sat May 26 12:08:40 2012 State : active Active Devices : 0 Working Devices : 4 Failed Devices : 0 Spare Devices : 4 Checksum : 82d5b7c6 - correct Events : 1 Number Major Minor RaidDevice State this 3 8 48 3 spare /dev/sdd 0 0 8 16 0 spare /dev/sdb 1 1 8 0 1 spare /dev/sda 2 2 8 32 2 spare /dev/sdc 3 3 8 48 3 spare /dev/sdd That on the 4 drives.

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  • Créer un éditeur de diagramme facilement avec Sirius, un tutoriel de Alain Bernard

    Bonjour,Vous avez toujours pensé que créer des éditeurs de type diagramme dans Eclipse était trop long ? Trop compliqué ? Alors le projet Sirius est fait pour vous ! Avec la prochaine version d'Eclipse, Luna, le projet Sirius sera déployé dans le "simultaneous release train" dans sa version 1.0 et met la création d'éditeurs (diagrammes, arbres, tableaux) basés sur les modèles EMF à la portée de tous. Dans ce tutoriel découvrez, avec un exemple simple, les mécanismes de la technologie Sirius...

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  • Ubuntu 12.04 does not recognize Kingston DT108 16GB memory

    - by aceqott
    I bought a Kingston DT108 16GB and Ubuntu did not recognize it.What should i do?? Output of dmesg | tail after connecting pen drive [ 1455.253010] CPU5: Package power limit notification (total events = 488) [ 1455.253013] CPU1: Package power limit notification (total events = 489) [ 1455.263966] CPU4: Package power limit normal [ 1455.263969] CPU2: Package power limit normal [ 1455.263972] CPU0: Package power limit normal [ 1455.263975] CPU6: Package power limit normal [ 1455.263998] CPU1: Package power limit normal [ 1455.264001] CPU5: Package power limit normal [ 1455.264004] CPU7: Package power limit normal [ 1455.264007] CPU3: Package power limit normal

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  • ArchBeat Link-o-Rama for 2012-05-31

    - by Bob Rhubart
    Eclipse DemoCamp - June 2012 - Redwood Shores, CA wiki.eclipse.org Oracle HQ 10 Twin Dolphin Dr. Redwood Shores, CA Presentations: The evolution of Java persistence, Doug Clarke, EclipseLink Project Lead, Oracle Eclipse Project Sapphire, Konstantin Komissarchik, Sapphire Project Lead, Oracle Developing Rich ADF Applications with Java EE, Greg Stachnick, Oracle Leveraging OSGi In The Enterprise, Kamal Muralidharan, Lead Engineer, eBay NVIDIA Nsight Eclipse Edition, Goodwin (Tech lead - Visual tools), Eugene Ostroukhov (Senior engineer – Visual tools)   BI Architecture Master Class for Partners - Oracle Architecture Unplugged blogs.oracle.com June 21, 2012 This workshop will be highly interactive and is aimed at Oracle OPN member partners who are IT Architects and BI+W specialists. This will be a highly interactive session and does not involve slide presentations or product feature details, it addresses IT-Architectural issues and considerations for the IT-Architect Community. 2012 Oracle Fusion Middleware Innovation Awards - Win a FREE Pass to Oracle OpenWorld 2012 in SF www.oracle.com Share your use of Oracle Fusion Middleware solutions and how they help your organization drive business innovation. You just might win a free pass to Oracle Openworld 2012 in San Francisco. Deadline for submissions in July 17, 2012. IT professionals: Very much the time to change our approach | Andy Mulholland www.capgemini.com This final post by retiring Capgemini CTO blogger Andy Mulholland is a must-read for anyone in IT. 10 Great WebCenter Sites Resources (FatWire) | John Brunswick www.johnbrunswick.com John Brunswick shares "some good resources that span the WebCenter Sites and FatWire brands, to get a consolidated list of helpful destinations for ongoing education." Cloning a WebCenter Portal Managed Server | Maiko Rocha blogs.oracle.com WebCenter and ADF A-Team blogger Maiko Rocha shows how to easily add a new managed server to a single-node domain to make it a cluster. Sorting and Filtering By Model-Based LOV Display Value | Steven Davelaar blogs.oracle.com How-to by WebCenter and ADF A-Team blogger Steven Davelaar. Designing and Developing Cross-Cutting Features | Stephen Rylander www.infoq.com Architects are often tasked with a business feature that must span systems. This article by will provide strategies to handle the change and guide your thinking about separating system boundaries and what that means for your technical design. Thought for the Day "A committee is a group of people who individually can do nothing, but who, as a group, can meet and decide that nothing can be done." — Fred Allen (5/31/1894 – 3/17/1956) Source: Brainy Quote

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  • How do I stop icons appearing on the desktop in a particular area?

    - by Seamus
    When I download something to my desktop, or insert a CD or flash drive, the icon appears on my desktop. When I have conky running, the icon sometimes appears in the top right corner, underneath conky; where I can't see it. How do I stop this happening? My .conkyrc is pasted below. I didn't write it all myself, so I'm not entirely sure what I need to change, or what parts are relevant for this particular question... # UBUNTU-CONKY # A comprehensive conky script, configured for use on # Ubuntu / Debian Gnome, without the need for any external scripts. # # Based on conky-jc and the default .conkyrc. # INCLUDES: # - tail of /var/log/messages # - netstat shows number of connections from your computer and application/PID making it. Kill spyware! # # -- Pengo # # Create own window instead of using desktop (required in nautilus) own_window yes own_window_type override own_window_transparent yes own_window_hints undecorated,below,sticky,skip_taskbar,skip_pager # Use double buffering (reduces flicker, may not work for everyone) double_buffer yes # fiddle with window use_spacer right # Use Xft? use_xft yes xftfont DejaVu Sans:size=8 xftalpha 0.8 text_buffer_size 2048 # Update interval in seconds update_interval 3.0 # Minimum size of text area # minimum_size 250 5 # Draw shades? draw_shades no # Text stuff draw_outline no # amplifies text if yes draw_borders no uppercase no # set to yes if you want all text to be in uppercase # Stippled borders? stippled_borders 3 # border margins border_margin 9 # border width border_width 10 # Default colors and also border colors, grey90 == #e5e5e5 default_color grey own_window_colour brown own_window_transparent yes # Text alignment, other possible values are commented #alignment top_left alignment top_right #alignment bottom_left #alignment bottom_right # Gap between borders of screen and text gap_x 10 gap_y 20 # stuff after 'TEXT' will be formatted on screen TEXT $color ${color orange}SYSTEM ${hr 2}$color $nodename $sysname $kernel on $machine ${color orange}CPU ${hr 2}$color ${freq}MHz Load: ${loadavg} Temp: ${acpitemp} $cpubar ${cpugraph 000000 ffffff} NAME ${goto 150}PID ${goto 200}CPU% ${goto 250}MEM% ${top name 1} ${goto 150}${top pid 1} ${goto 200}${top cpu 1} ${goto 250}${top mem 1} ${top name 2} ${goto 150}${top pid 2} ${goto 200}${top cpu 2} ${goto 250}${top mem 2} ${top name 3} ${goto 150}${top pid 3} ${goto 200}${top cpu 3} ${goto 250}${top mem 3} ${top name 4} ${goto 150}${top pid 4} ${goto 200}${top cpu 4} ${goto 250}${top mem 4} ${color orange}MEMORY / DISK ${hr 2}$color RAM: $memperc% ${membar 6}$color Swap: $swapperc% ${swapbar 6}$color Home: ${fs_free_perc /home}% ${fs_bar 6 /}$color Free Space: ${fs_free /home} ${color orange}NETWORK (${addr eth0}) ${hr 2}$color Down: $color${downspeed eth0} k/s ${alignr}Up: ${upspeed eth0} k/s ${downspeedgraph eth0 25,140 000000 ff0000} ${alignr}${upspeedgraph eth0 25,140 000000 00ff00}$color Total: ${totaldown eth0} ${alignr}Total: ${totalup eth0} ${execi 30 netstat -ept | grep ESTAB | awk '{print $9}' | cut -d: -f1 | sort | uniq -c | sort -nr} ${color orange}WIRELESS (${addr wlan0}) ${hr 2}$color Down: $color${downspeed wlan0} k/s ${alignr}Up: ${upspeed wlan0} k/s ${downspeedgraph wlan0 25,140 000000 ff0000} ${alignr}${upspeedgraph wlan0 25,140 000000 00ff00}$color Total: ${totaldown wlan0} ${alignr}Total: ${totalup wlan0} ${execi 30 netstat -ept | grep ESTAB | awk '{print $9}' | cut -d: -f1 | sort | uniq -c | sort -nr} Conky solutions have been offered, but perhaps these aren't the best way of approaching it. What I really want is to stop icons even appearing in that part of the desktop window: that is, I want to make part of the desktop real estate "off-limits" to new icons appearing on the desktop.

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  • What is a good GUI text editor with code folding on Linux

    - by quanticle
    When I'm on Linux, I usually program using either gvim or emacs (depending on the language I'm working in, and the configuration of the machine). However, one thing I miss from the Windows world is code folding. Editors like Notepad++ and IDEs like Visual Studio allow shrink, or fold, blocks of code into single line headings. Are there any Linux editors with this facility? I know Eclipse can do code folding, but I don't want to launch Eclipse just to edit a HTML file.

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  • How do I stop icons appearing on the desktop under conky?

    - by Seamus
    When I download something to my desktop, or insert a CD or flash drive, the icon appears on my desktop. When I have conky running, the icon sometimes appears in the top right corner, underneath conky; where I can't see it. How do I stop this happening? My .conkyrc is pasted below. I didn't write it all myself, so I'm not entirely sure what I need to change, or what parts are relevant for this particular question... # UBUNTU-CONKY # A comprehensive conky script, configured for use on # Ubuntu / Debian Gnome, without the need for any external scripts. # # Based on conky-jc and the default .conkyrc. # INCLUDES: # - tail of /var/log/messages # - netstat shows number of connections from your computer and application/PID making it. Kill spyware! # # -- Pengo # # Create own window instead of using desktop (required in nautilus) own_window yes own_window_type override own_window_transparent yes own_window_hints undecorated,below,sticky,skip_taskbar,skip_pager # Use double buffering (reduces flicker, may not work for everyone) double_buffer yes # fiddle with window use_spacer right # Use Xft? use_xft yes xftfont DejaVu Sans:size=8 xftalpha 0.8 text_buffer_size 2048 # Update interval in seconds update_interval 3.0 # Minimum size of text area # minimum_size 250 5 # Draw shades? draw_shades no # Text stuff draw_outline no # amplifies text if yes draw_borders no uppercase no # set to yes if you want all text to be in uppercase # Stippled borders? stippled_borders 3 # border margins border_margin 9 # border width border_width 10 # Default colors and also border colors, grey90 == #e5e5e5 default_color grey own_window_colour brown own_window_transparent yes # Text alignment, other possible values are commented #alignment top_left alignment top_right #alignment bottom_left #alignment bottom_right # Gap between borders of screen and text gap_x 10 gap_y 20 # stuff after 'TEXT' will be formatted on screen TEXT $color ${color orange}SYSTEM ${hr 2}$color $nodename $sysname $kernel on $machine ${color orange}CPU ${hr 2}$color ${freq}MHz Load: ${loadavg} Temp: ${acpitemp} $cpubar ${cpugraph 000000 ffffff} NAME ${goto 150}PID ${goto 200}CPU% ${goto 250}MEM% ${top name 1} ${goto 150}${top pid 1} ${goto 200}${top cpu 1} ${goto 250}${top mem 1} ${top name 2} ${goto 150}${top pid 2} ${goto 200}${top cpu 2} ${goto 250}${top mem 2} ${top name 3} ${goto 150}${top pid 3} ${goto 200}${top cpu 3} ${goto 250}${top mem 3} ${top name 4} ${goto 150}${top pid 4} ${goto 200}${top cpu 4} ${goto 250}${top mem 4} ${color orange}MEMORY / DISK ${hr 2}$color RAM: $memperc% ${membar 6}$color Swap: $swapperc% ${swapbar 6}$color Home: ${fs_free_perc /home}% ${fs_bar 6 /}$color Free Space: ${fs_free /home} ${color orange}NETWORK (${addr eth0}) ${hr 2}$color Down: $color${downspeed eth0} k/s ${alignr}Up: ${upspeed eth0} k/s ${downspeedgraph eth0 25,140 000000 ff0000} ${alignr}${upspeedgraph eth0 25,140 000000 00ff00}$color Total: ${totaldown eth0} ${alignr}Total: ${totalup eth0} ${execi 30 netstat -ept | grep ESTAB | awk '{print $9}' | cut -d: -f1 | sort | uniq -c | sort -nr} ${color orange}WIRELESS (${addr wlan0}) ${hr 2}$color Down: $color${downspeed wlan0} k/s ${alignr}Up: ${upspeed wlan0} k/s ${downspeedgraph wlan0 25,140 000000 ff0000} ${alignr}${upspeedgraph wlan0 25,140 000000 00ff00}$color Total: ${totaldown wlan0} ${alignr}Total: ${totalup wlan0} ${execi 30 netstat -ept | grep ESTAB | awk '{print $9}' | cut -d: -f1 | sort | uniq -c | sort -nr}

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  • Code Line Delimiter [closed]

    - by John Isaiah Carmona
    Possible Duplicate: Why are statements in many programming languages terminated by semicolons? I just found out that R Programming Language, which is somewhat belong to the C family (I'm not sure about this but it uses {} instead of begin end), uses a new line as a delimiter for a new line of code instead of the semi-colon ;. Why is some programming language designed to use a new line instead of a symbol like semi-colon which I think will make the code more readable? Phyton total = item_one + \ item_two + \ item_three C total = item_one + item_two + item_three;

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  • CVS vs SVN vs GIT vs anyother

    - by user3215
    CVS is being used in my workplace and I've no much knowledge of cvs other than installing and creating cvs users and I heard developers share their project with eclipse or something like that. I'm asked to check for best repositories which offers advanced features giving the hints SVN and GIT. If any one using these repositories please short list their features and if possible with links of good installation guides and a bit information of what the eclipse to do with these repositories. Thank you!

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  • CVS vs SVN vs GIT

    - by user3215
    CVS is being used in my workplace and I've no much knowledge of cvs other than installing and creating cvs users and I heard developers share their project with eclipse or something like that. I'm asked to check for best repositories which offers advanced features giving the hints SVN and GIT. If any one using these repositories please short list their features and if possible with links of good installation guides and a bit information of what the eclipse to do with these repositories. Thank you!

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  • Desktop Fun: Moonlit Nights Wallpaper Collection Series 2

    - by Asian Angel
    Last year we shared a gorgeous collection of Moonlit Nights wallpapers with you and today we are back with more Lunar goodness. Turn your desktop into a night-time paradise with the second in our series of Moonlit Nights Wallpaper collections. HTG Explains: What Is Windows RT and What Does It Mean To Me? HTG Explains: How Windows 8′s Secure Boot Feature Works & What It Means for Linux Hack Your Kindle for Easy Font Customization

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  • Large uploaded file won't display in Ubuntu One but is included in file usage

    - by user1488963
    On Ubuntu 10.04, I uploaded a single 711 MB. My total file usage in Ubuntu One went up to 877MB, which is about right, but the file doesn't show in Ubuntu One so I can't download or delete it. Either the file is there and I can't see it for some reason. Or the file is not there and the total file usage figure is wrong. Does anyone know what has happened? I have a free account but am well below my 5GB limit.

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  • LAG function – practical use and comparison to old syntax

    - by Michael Zilberstein
    Recently I had to analyze huge trace – 46GB of trc files. Looping over files I loaded them into trace table using fn_trace_gettable function and filters I could use in order to filter out irrelevant data. I ended up with 6.5 million rows table, total of 7.4GB in size. It contained RowNum column which was defined as identity, primary key, clustered. One of the first things I detected was that although time difference between first and last events in the trace was 10 hours, total duration of all sql...(read more)

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  • LAG function – practical use and comparison to old syntax

    - by Michael Zilberstein
    Recently I had to analyze huge trace – 46GB of trc files. Looping over files I loaded them into trace table using fn_trace_gettable function and filters I could use in order to filter out irrelevant data. I ended up with 6.5 million rows table, total of 7.4GB in size. It contained RowNum column which was defined as identity, primary key, clustered. One of the first things I detected was that although time difference between first and last events in the trace was 10 hours, total duration of all sql...(read more)

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  • Is Running programs by address common?

    - by dgood1
    I have read some of the things posted here and I keep reading about people running stuff like /foldername/executable -cmd NAME (was reading about a programmer using Eclipse, so he was testing something he made) I don't see things like that when I run things here (Ubuntu 12.04) because of the launcher and the Ubuntu button at the very top. That and Eclipse indigo has a button for running and testing things it makes. Just asking how and why it's common? (assuming it's the Terminal[Ctrl+alt+T] but I'm not sure)

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  • Native PHP vs exec()

    - by resting
    Just wondering, assuming no security issues, that is, you're in total control of the command passed to exec(), is there a difference (in terms of speed or standards) between using exec() vs native PHP? Example just to name a few use cases: Using the DirectoryIterator vs exec(ls -1, $output), to list all files. List 100 files from the 99th file onwards (that is, file 100 to 199) Count total number of files in directory.

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