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  • How to Check the Performance of VPS?

    - by Ngu Soon Hui
    I have subscribed to a VPS offered by a hosting provider. The guaranteed performance 1GB RAM, 1M bandwidth. But I found that from time to time the websites can be very slow, so slow that it could take more than 30 seconds to load a simple Joomla website. However the website resumed the usual speed after a few minutes. This created a problem for me when I want to report the performance problem to the hosting provider. They would say to me "see, no problem". Of course there is no problem because the problem is only there for a few minutes , and everything is normal. This ocassionally-slow problem will bug me a few days later and the cycle repeats. Any idea how to solve this problem?

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  • Are there any known issues with Windows-8 installed on a VHD?

    - by Richard
    I installed Windows 8 preview on a VHD image and it seemed to work until I actually started using it. I´m seeing terrible performance. Installing anything makes everything else "stutter" or freeze for up to a couple of seconds at a time. I looked up hard disk performance in the task manager and this is what I found: It doesn't seem right it has 2500ms response time while reading/writing at those speeds. Is this an issue with my drive, installation or VHDs in general?

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  • Lightweight ad-blocker for firefox

    - by student
    On a old machine (512 MB RAM) I am currently running ubuntu jaunty and firefox 3.0.15. I tried the ad blocker addon add block plus but it eats lots of RAM (300 MB). Is high memory load of this add-on a bug, which is fixed in a newer version or just normal? If so, why is the memory usage so high? Is there another ad blocker add-on for firefox or another browser- add-on combination for linux (ubuntu jaunty) which uses significant less RAM?

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  • Which type of motherboard i should by and why?

    - by metal gear solid
    If budged is not matter. I just need best performance with less power consumption. I can purchase any cabinet , power supply and Motherboard. Is Power supply has any relation with Form factor? Is the size of motherboard and number of Slots only difference between all form factors? Is there any difference related to performance of motherboard? Is bigger in Size (ATX) motherboard always better?

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  • Soap client call has slow performance

    - by Alon_A
    OS is Centos 6.2 with PHP 5.3.15. We have a Facebook application that is using PHP soap web services. We sometimes experince slow preformance when connecting to these services, but we cant understand what exacly is causing the problem. We've try to analyse the behavior using the profiling tool Kcachgrind. Here is a call graph from the index.php page that took 21 seconds to load. You can clearly see that calling the soap client is the bottle neck. I've also noticed that exactly before the page finishes to load, this file is being created in our serve's /tmp folder: wsdl-apache-d1032d85dfd16c0d91a6b70facc70e43 These are the permission of /tmp drwxrwxrwt 6 root root 40960 Aug 30 10:39 tmp I know its not the most specific question, but if any one had similar performance issues with soap client, We would love some ideas about what can cause this kind of performance problem, what can we do to investigate more accurately or how to overcome the problem ? Thanks.

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  • Getting started with webserver clustering.

    - by Ernie
    I work for a small ISP, and we host about 250 domains and all the stuff that goes along with that: DNS, mail, spam filtering, and backups. Currently, we have separate DNS servers (two of them) and mail servers (outgoing mail is actually on the secondary DNS server, but was previously on its own server). In the past, this was done as an insurance measure. The last thing we need is for some doofus (usually yours truly) to hose a server, taking out DNS and mail right along with it, or for spammers to jam our incoming SMTP server, preventing outgoing mail from being sent too. In the past, this was a problem, and our servers were set up the way they are now to combat it. However, clustering solutions like Sun's Cobalt RAQ (in days of olde) and Virtualmin appear to cater to an all-in-one approach, then deal with failures through redundant servers. I have avoided this thus far, but we've been using Virtualmin on our web server for a while now, and I'd like to expand into using it for a high availability cluster. Our networking partner has recently built a datacenter that has eliminated all of our other bugaboos like network, cooling, and power issues, so now the only thing left to go wrong is me hosing a server, which happened earlier this month. One of the bigger reasons we've avoided going this route is because our hardware requirements aren't particularly high. One server easily handles all the sites we host (most of them are flat sites). Also, load-balancing routers tend to be expensive and complicated. All that I'm really expecting to do is building a two-node cluster for redundancy so that when I hose a server (however rare that might be), we're not out for 8-12 hours while I rebuild it. What I need to know is how to get started, and if I'm really in a position to bother with this kind of thing at all.

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  • DNS failover in a two datacenter scenario

    - by wanson
    I'm trying to implement a low-cost solution for website high availability. I'm looking for the downsides of the following scenario: I have two servers with the same configuration, content, mysql replication (dual-master). They are in different datacenters - let's call them serverA and serverB. Users use serverA - serverB is more like a backup. Now, I want to use DNS failover, to switch users from serverA to serverB when serverA goes down. My idea is that I setup DNS servers (bind/powerdns) on serverA and serverB - let's call them ns1.website.com and ns2.website.com (assuming I own website.com). Then I configure my domain to use them as its nameservers. Both DNS servers will return serverA IP as my website's IP. If serverA goes down I can (either manually or automatically from serverB) change configuration of serverB's DNS, to return IP of serverB as website's IP. Of course the TTL will be low, as it's supposed to be in DNS failovers. I know that it may take some time to switch to serverB (DNS ttl, time to detect serverA failure, serverB DNS reconfiguration etc), and that some small part of users won't use serverB anyway. And I'm OK with that. But what are other downsides of such an approach? An alternative scenario is that ns1.website.com will return serverA IP as website's IP, and ns2.website.com will return serverB IP as website's IP. But AFAIK clients not always use primary nameserver and sometimes would use secondary one. So some small part of users would use serverB instead of serverA which is not quite what I'd like. Can you confirm that DNS clients behave like that and can you tell what percentage of clients would possibly use serverB instead of serverA (statistically)? This one also has the downside that when serverA goes back up, it will be automatically used as website's primary server, which is also a bad situation (cold cache, mysql replication could fail in the meantime etc). So I'm adding it only as a theoretical alternative. I was thinking about using some professional DNS failover companies but they charge for the number of DNS requests and the fees are very high (why?)

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  • "iostat" command different in two equal machines

    - by Oz.
    We have several machines on Amazon (ec2) of the type c1.xlarge with 8 cpus, running the Amazon AMI. Details on the machine: 7 GB of memory 20 EC2 Compute Units (8 virtual cores with 2.5 EC2 Compute Units each) 1690 GB of instance storage 64-bit platform I/O Performance: High API name: c1.xlarge One out of the several machines is showing a high load average, since we have run the last yum upgrade a couple of weeks a go. We did not yet update the other machines, and everything looks normal on them. The strange thing is that the top command not showing any hint for the cause of the load. CPUs are - 4.8%us, 1.1%sy, 0.0%ni, 94.1%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st. Mem is about 1.5GB free. Any idea what could it be, or where else can we check? iostat command on the proper machine: avg-cpu: %user %nice %system %iowait %steal %idle 8.97 0.03 4.46 0.19 0.14 86.23 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn xvdap1 1.60 0.69 55.38 587620 47254184 xvdfp2 2.64 1.10 61.04 934786 52091056 xvdfp4 0.86 0.19 41.72 163866 35601920 xvdfp1 4.37 36.59 73.89 31220810 63051504 xvdfp3 8.03 7.08 94.63 6045402 80749184 iostat command on problematic machine: avg-cpu: %user %nice %system %iowait %steal %idle 9.29 0.04 5.55 0.26 0.11 84.74 Device: tps Blk_read/s Blk_wrtn/s Blk_read Blk_wrtn xvdap1 2.13 3.34 68.85 246244 5077888 xvdfp1 7.60 74.31 104.88 5480362 7734840 xvdfp3 13.22 73.67 125.00 5433386 9218600 xvdfp4 1.11 0.76 65.08 55762 4799248 xvdfp2 4.16 3.31 99.17 243818 7313264 Many thanks for the help.

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  • Load Balance WCF and Share a Remote MSMQ for High Throughput

    - by BarDev
    After a ton of reading in books and on the web, I have noticed hints of information that WCF and MSMQ can be used in achieving high throughput. The information I have seen mentions using multiple WCF services in a farm that reads from a single MSMQ queue. The problem is that I have found paragraphs here and there that mentions that high throughput can be done, but I cannot seem to find a document of how to implement it. The following is an excerpt from a MSDN article. The following paragraph is from Best Practices for Queued Communication http://msdn.microsoft.com/en-us/library/ms731093.aspx To achieve higher throughput and availability, use a farm of WCF services that read from the queue. This requires that all of these services expose the same contract on the same endpoint. The farm approach works best for applications that have high production rates of messages because it enables a number of services to all read from the same queue. This is what I'm trying to solve. I have an intranet application where a client sends a request to a WCF service. But I want the ability to load balance the WCF services on multiple servers in a farm. I also want these WCF services in the farm to do transactional reads from a remote MSMQ when an item is available in the Queue. If this is possible, an issue I have is that I do not understand the activation process of WCF to retrieve messages from a remote queue. If this is possible, does anyone know of any articles or Webcasts that would explain it in detail? BarDev

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  • MS SQL - High performance data inserting with stored procedures

    - by Marks
    Hi. Im searching for a very high performant possibility to insert data into a MS SQL database. The data is a (relatively big) construct of objects with relations. For security reasons i want to use stored procedures instead of direct table access. Lets say i have a structure like this: Document MetaData User Device Content ContentItem[0] SubItem[0] SubItem[1] SubItem[2] ContentItem[1] ... ContentItem[2] ... Right now I think of creating one big query, doing somehting like this (Just pseudo-code): EXEC @DeviceID = CreateDevice ...; EXEC @UserID = CreateUser ...; EXEC @DocID = CreateDocument @DeviceID, @UserID, ...; EXEC @ItemID = CreateItem @DocID, ... EXEC CreateSubItem @ItemID, ... EXEC CreateSubItem @ItemID, ... EXEC CreateSubItem @ItemID, ... ... But is this the best solution for performance? If not, what would be better? Split it into more querys? Give all Data to one big stored procedure to reduce size of query? Any other performance clue? I also thought of giving multiple items to one stored procedure, but i dont think its possible to give a non static amount of items to a stored procedure. Since 'INSERT INTO A VALUES (B,C),(C,D),(E,F) is more performant than 3 single inserts i thought i could get some performance here. Thanks for any hints, Marks

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  • Plan Caching and Query Memory Part II (Hash Match) – When not to use stored procedure - Most common performance mistake SQL Server developers make.

    - by sqlworkshops
    SQL Server estimates Memory requirement at compile time, when stored procedure or other plan caching mechanisms like sp_executesql or prepared statement are used, the memory requirement is estimated based on first set of execution parameters. This is a common reason for spill over tempdb and hence poor performance. Common memory allocating queries are that perform Sort and do Hash Match operations like Hash Join or Hash Aggregation or Hash Union. This article covers Hash Match operations with examples. It is recommended to read Plan Caching and Query Memory Part I before this article which covers an introduction and Query memory for Sort. In most cases it is cheaper to pay for the compilation cost of dynamic queries than huge cost for spill over tempdb, unless memory requirement for a query does not change significantly based on predicates.   This article covers underestimation / overestimation of memory for Hash Match operation. Plan Caching and Query Memory Part I covers underestimation / overestimation for Sort. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   To read additional articles I wrote click here.   The best way to learn is to practice. To create the below tables and reproduce the behavior, join the mailing list by using this link: www.sqlworkshops.com/ml and I will send you the table creation script. Most of these concepts are also covered in our webcasts: www.sqlworkshops.com/webcasts  Let’s create a Customer’s State table that has 99% of customers in NY and the rest 1% in WA.Customers table used in Part I of this article is also used here.To observe Hash Warning, enable 'Hash Warning' in SQL Profiler under Events 'Errors and Warnings'. --Example provided by www.sqlworkshops.com drop table CustomersState go create table CustomersState (CustomerID int primary key, Address char(200), State char(2)) go insert into CustomersState (CustomerID, Address) select CustomerID, 'Address' from Customers update CustomersState set State = 'NY' where CustomerID % 100 != 1 update CustomersState set State = 'WA' where CustomerID % 100 = 1 go update statistics CustomersState with fullscan go   Let’s create a stored procedure that joins customers with CustomersState table with a predicate on State. --Example provided by www.sqlworkshops.com create proc CustomersByState @State char(2) as begin declare @CustomerID int select @CustomerID = e.CustomerID from Customers e inner join CustomersState es on (e.CustomerID = es.CustomerID) where es.State = @State option (maxdop 1) end go  Let’s execute the stored procedure first with parameter value ‘WA’ – which will select 1% of data. set statistics time on go --Example provided by www.sqlworkshops.com exec CustomersByState 'WA' goThe stored procedure took 294 ms to complete.  The stored procedure was granted 6704 KB based on 8000 rows being estimated.  The estimated number of rows, 8000 is similar to actual number of rows 8000 and hence the memory estimation should be ok.  There was no Hash Warning in SQL Profiler. To observe Hash Warning, enable 'Hash Warning' in SQL Profiler under Events 'Errors and Warnings'.   Now let’s execute the stored procedure with parameter value ‘NY’ – which will select 99% of data. -Example provided by www.sqlworkshops.com exec CustomersByState 'NY' go  The stored procedure took 2922 ms to complete.   The stored procedure was granted 6704 KB based on 8000 rows being estimated.    The estimated number of rows, 8000 is way different from the actual number of rows 792000 because the estimation is based on the first set of parameter value supplied to the stored procedure which is ‘WA’ in our case. This underestimation will lead to spill over tempdb, resulting in poor performance.   There was Hash Warning (Recursion) in SQL Profiler. To observe Hash Warning, enable 'Hash Warning' in SQL Profiler under Events 'Errors and Warnings'.   Let’s recompile the stored procedure and then let’s first execute the stored procedure with parameter value ‘NY’.  In a production instance it is not advisable to use sp_recompile instead one should use DBCC FREEPROCCACHE (plan_handle). This is due to locking issues involved with sp_recompile, refer to our webcasts, www.sqlworkshops.com/webcasts for further details.   exec sp_recompile CustomersByState go --Example provided by www.sqlworkshops.com exec CustomersByState 'NY' go  Now the stored procedure took only 1046 ms instead of 2922 ms.   The stored procedure was granted 146752 KB of memory. The estimated number of rows, 792000 is similar to actual number of rows of 792000. Better performance of this stored procedure execution is due to better estimation of memory and avoiding spill over tempdb.   There was no Hash Warning in SQL Profiler.   Now let’s execute the stored procedure with parameter value ‘WA’. --Example provided by www.sqlworkshops.com exec CustomersByState 'WA' go  The stored procedure took 351 ms to complete, higher than the previous execution time of 294 ms.    This stored procedure was granted more memory (146752 KB) than necessary (6704 KB) based on parameter value ‘NY’ for estimation (792000 rows) instead of parameter value ‘WA’ for estimation (8000 rows). This is because the estimation is based on the first set of parameter value supplied to the stored procedure which is ‘NY’ in this case. This overestimation leads to poor performance of this Hash Match operation, it might also affect the performance of other concurrently executing queries requiring memory and hence overestimation is not recommended.     The estimated number of rows, 792000 is much more than the actual number of rows of 8000.  Intermediate Summary: This issue can be avoided by not caching the plan for memory allocating queries. Other possibility is to use recompile hint or optimize for hint to allocate memory for predefined data range.Let’s recreate the stored procedure with recompile hint. --Example provided by www.sqlworkshops.com drop proc CustomersByState go create proc CustomersByState @State char(2) as begin declare @CustomerID int select @CustomerID = e.CustomerID from Customers e inner join CustomersState es on (e.CustomerID = es.CustomerID) where es.State = @State option (maxdop 1, recompile) end go  Let’s execute the stored procedure initially with parameter value ‘WA’ and then with parameter value ‘NY’. --Example provided by www.sqlworkshops.com exec CustomersByState 'WA' go exec CustomersByState 'NY' go  The stored procedure took 297 ms and 1102 ms in line with previous optimal execution times.   The stored procedure with parameter value ‘WA’ has good estimation like before.   Estimated number of rows of 8000 is similar to actual number of rows of 8000.   The stored procedure with parameter value ‘NY’ also has good estimation and memory grant like before because the stored procedure was recompiled with current set of parameter values.  Estimated number of rows of 792000 is similar to actual number of rows of 792000.    The compilation time and compilation CPU of 1 ms is not expensive in this case compared to the performance benefit.   There was no Hash Warning in SQL Profiler.   Let’s recreate the stored procedure with optimize for hint of ‘NY’. --Example provided by www.sqlworkshops.com drop proc CustomersByState go create proc CustomersByState @State char(2) as begin declare @CustomerID int select @CustomerID = e.CustomerID from Customers e inner join CustomersState es on (e.CustomerID = es.CustomerID) where es.State = @State option (maxdop 1, optimize for (@State = 'NY')) end go  Let’s execute the stored procedure initially with parameter value ‘WA’ and then with parameter value ‘NY’. --Example provided by www.sqlworkshops.com exec CustomersByState 'WA' go exec CustomersByState 'NY' go  The stored procedure took 353 ms with parameter value ‘WA’, this is much slower than the optimal execution time of 294 ms we observed previously. This is because of overestimation of memory. The stored procedure with parameter value ‘NY’ has optimal execution time like before.   The stored procedure with parameter value ‘WA’ has overestimation of rows because of optimize for hint value of ‘NY’.   Unlike before, more memory was estimated to this stored procedure based on optimize for hint value ‘NY’.    The stored procedure with parameter value ‘NY’ has good estimation because of optimize for hint value of ‘NY’. Estimated number of rows of 792000 is similar to actual number of rows of 792000.   Optimal amount memory was estimated to this stored procedure based on optimize for hint value ‘NY’.   There was no Hash Warning in SQL Profiler.   This article covers underestimation / overestimation of memory for Hash Match operation. Plan Caching and Query Memory Part I covers underestimation / overestimation for Sort. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   Summary: Cached plan might lead to underestimation or overestimation of memory because the memory is estimated based on first set of execution parameters. It is recommended not to cache the plan if the amount of memory required to execute the stored procedure has a wide range of possibilities. One can mitigate this by using recompile hint, but that will lead to compilation overhead. However, in most cases it might be ok to pay for compilation rather than spilling sort over tempdb which could be very expensive compared to compilation cost. The other possibility is to use optimize for hint, but in case one sorts more data than hinted by optimize for hint, this will still lead to spill. On the other side there is also the possibility of overestimation leading to unnecessary memory issues for other concurrently executing queries. In case of Hash Match operations, this overestimation of memory might lead to poor performance. When the values used in optimize for hint are archived from the database, the estimation will be wrong leading to worst performance, so one has to exercise caution before using optimize for hint, recompile hint is better in this case.   I explain these concepts with detailed examples in my webcasts (www.sqlworkshops.com/webcasts), I recommend you to watch them. The best way to learn is to practice. To create the above tables and reproduce the behavior, join the mailing list at www.sqlworkshops.com/ml and I will send you the relevant SQL Scripts.  Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.   Disclaimer and copyright information:This article refers to organizations and products that may be the trademarks or registered trademarks of their various owners. Copyright of this article belongs to R Meyyappan / www.sqlworkshops.com. You may freely use the ideas and concepts discussed in this article with acknowledgement (www.sqlworkshops.com), but you may not claim any of it as your own work. This article is for informational purposes only; you use any of the suggestions given here entirely at your own risk.   R Meyyappan [email protected] LinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • Having problems with high CPU usage and apparent memory leak of Exim

    - by Dancrumb
    I'm having problems with my server and am hoping you can help. The culprit appears to be exim. The CPU usage is consistently high and the memory usage trends up and up and up for no apparent reason (this is not a heavily used server). To demonstrate the issue, I ran the following: root@server [/var/log]# service exim restart; for iter in `seq 0 9`; do date; top -n1 | grep exim; sleep 10; done Shutting down exim: [ OK ] Shutting down spamd: [ OK ] Starting exim: [ OK ] Sun Jun 6 18:12:07 CDT 2010 62592 root 25 0 11400 6572 2356 R 51.5 1.3 0:00.92 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim Sun Jun 6 18:12:18 CDT 2010 62592 root 25 0 28768 23m 2356 R 57.4 4.6 0:06.75 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:12:28 CDT 2010 62592 root 25 0 36408 30m 2356 R 55.5 6.0 0:12.59 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:12:39 CDT 2010 62592 root 25 0 41396 35m 2356 R 53.5 7.0 0:18.35 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:12:49 CDT 2010 62592 root 25 0 45868 40m 2356 R 47.5 7.8 0:24.06 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:00 CDT 2010 62592 root 25 0 50056 44m 2356 R 55.3 8.6 0:29.84 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:10 CDT 2010 62592 root 25 0 53888 47m 2356 R 55.2 9.4 0:35.63 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:21 CDT 2010 62592 root 20 0 56920 50m 2356 R 55.3 9.9 0:41.15 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:31 CDT 2010 62592 root 25 0 60380 54m 2356 R 53.4 10.6 0:46.98 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:42 CDT 2010 62592 root 22 0 63400 57m 2356 R 49.5 11.2 0:52.74 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim After some time, it gets to a rate of picking up an extra MB every 10s. I've checked the exim logs and there are no messages coming in there. exim -bV shows: Exim version 4.69 #1 built 16-Mar-2009 14:44:43 Copyright (c) University of Cambridge 2006 Berkeley DB: Sleepycat Software: Berkeley DB 4.2.52: (February 22, 2005) Support for: crypteq iconv() IPv6 PAM Perl OpenSSL Content_Scanning Old_Demime Experimental_SPF Experimental_SRS Experimental_DomainKeys Lookups: lsearch wildlsearch nwildlsearch iplsearch dbm dbmnz passwd Authenticators: cram_md5 dovecot plaintext spa Routers: accept dnslookup ipliteral manualroute queryprogram redirect Transports: appendfile/maildir autoreply pipe smtp Size of off_t: 8 Configuration file is /etc/exim.conf I'm at something of a loss as to how to proceed. Any recommendations would be well received!

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  • Diagnosing packet loss / high latency in Ubuntu

    - by Sam Gammon
    We have a Linux box (Ubuntu 12.04) running Nginx (1.5.2), which acts as a reverse proxy/load balancer to some Tornado and Apache hosts. The upstream servers are physically and logically close (same DC, sometimes same-rack) and show sub-millisecond latency between them: PING appserver (10.xx.xx.112) 56(84) bytes of data. 64 bytes from appserver (10.xx.xx.112): icmp_req=1 ttl=64 time=0.180 ms 64 bytes from appserver (10.xx.xx.112): icmp_req=2 ttl=64 time=0.165 ms 64 bytes from appserver (10.xx.xx.112): icmp_req=3 ttl=64 time=0.153 ms We receive a sustained load of about 500 requests per second, and are currently seeing regular packet loss / latency spikes from the Internet, even from basic pings: sam@AM-KEEN ~> ping -c 1000 loadbalancer PING 50.xx.xx.16 (50.xx.xx.16): 56 data bytes 64 bytes from loadbalancer: icmp_seq=0 ttl=56 time=11.624 ms 64 bytes from loadbalancer: icmp_seq=1 ttl=56 time=10.494 ms ... many packets later ... Request timeout for icmp_seq 2 64 bytes from loadbalancer: icmp_seq=2 ttl=56 time=1536.516 ms 64 bytes from loadbalancer: icmp_seq=3 ttl=56 time=536.907 ms 64 bytes from loadbalancer: icmp_seq=4 ttl=56 time=9.389 ms ... many packets later ... Request timeout for icmp_seq 919 64 bytes from loadbalancer: icmp_seq=918 ttl=56 time=2932.571 ms 64 bytes from loadbalancer: icmp_seq=919 ttl=56 time=1932.174 ms 64 bytes from loadbalancer: icmp_seq=920 ttl=56 time=932.018 ms 64 bytes from loadbalancer: icmp_seq=921 ttl=56 time=6.157 ms --- 50.xx.xx.16 ping statistics --- 1000 packets transmitted, 997 packets received, 0.3% packet loss round-trip min/avg/max/stddev = 5.119/52.712/2932.571/224.629 ms The pattern is always the same: things operate fine for a while (<20ms), then a ping drops completely, then three or four high-latency pings (1000ms), then it settles down again. Traffic comes in through a bonded public interface (we will call it bond0) configured as such: bond0 Link encap:Ethernet HWaddr 00:xx:xx:xx:xx:5d inet addr:50.xx.xx.16 Bcast:50.xx.xx.31 Mask:255.255.255.224 inet6 addr: <ipv6 address> Scope:Global inet6 addr: <ipv6 address> Scope:Link UP BROADCAST RUNNING MASTER MULTICAST MTU:1500 Metric:1 RX packets:527181270 errors:1 dropped:4 overruns:0 frame:1 TX packets:413335045 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:240016223540 (240.0 GB) TX bytes:104301759647 (104.3 GB) Requests are then submitted via HTTP to upstream servers on the private network (we can call it bond1), which is configured like so: bond1 Link encap:Ethernet HWaddr 00:xx:xx:xx:xx:5c inet addr:10.xx.xx.70 Bcast:10.xx.xx.127 Mask:255.255.255.192 inet6 addr: <ipv6 address> Scope:Link UP BROADCAST RUNNING MASTER MULTICAST MTU:1500 Metric:1 RX packets:430293342 errors:1 dropped:2 overruns:0 frame:1 TX packets:466983986 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:77714410892 (77.7 GB) TX bytes:227349392334 (227.3 GB) Output of uname -a: Linux <hostname> 3.5.0-42-generic #65~precise1-Ubuntu SMP Wed Oct 2 20:57:18 UTC 2013 x86_64 GNU/Linux We have customized sysctl.conf in an attempt to fix the problem, with no success. Output of /etc/sysctl.conf (with irrelevant configs omitted): # net: core net.core.netdev_max_backlog = 10000 # net: ipv4 stack net.ipv4.tcp_ecn = 2 net.ipv4.tcp_sack = 1 net.ipv4.tcp_fack = 1 net.ipv4.tcp_tw_reuse = 1 net.ipv4.tcp_tw_recycle = 0 net.ipv4.tcp_timestamps = 1 net.ipv4.tcp_window_scaling = 1 net.ipv4.tcp_no_metrics_save = 1 net.ipv4.tcp_max_syn_backlog = 10000 net.ipv4.tcp_congestion_control = cubic net.ipv4.ip_local_port_range = 8000 65535 net.ipv4.tcp_syncookies = 1 net.ipv4.tcp_synack_retries = 2 net.ipv4.tcp_thin_dupack = 1 net.ipv4.tcp_thin_linear_timeouts = 1 net.netfilter.nf_conntrack_max = 99999999 net.netfilter.nf_conntrack_tcp_timeout_established = 300 Output of dmesg -d, with non-ICMP UFW messages suppressed: [508315.349295 < 19.852453>] [UFW BLOCK] IN=bond1 OUT= MAC=<mac addresses> SRC=118.xx.xx.143 DST=50.xx.xx.16 LEN=68 TOS=0x00 PREC=0x00 TTL=51 ID=43221 PROTO=ICMP TYPE=3 CODE=1 [SRC=50.xx.xx.16 DST=118.xx.xx.143 LEN=40 TOS=0x00 PREC=0x00 TTL=249 ID=10220 DF PROTO=TCP SPT=80 DPT=53817 WINDOW=8190 RES=0x00 ACK FIN URGP=0 ] [517787.732242 < 0.443127>] Peer 190.xx.xx.131:59705/80 unexpectedly shrunk window 1155488866:1155489425 (repaired) How can I go about diagnosing the cause of this problem, on a Debian-family Linux box?

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  • django, mod_wsgi, MySQL High CPU - Problems

    - by Red Rover
    I am having a problem with an OSQA site. It is Django/Apache/mod_wsgi configured site. Every hour, the CPU spikes to 164% (Average) for task HTTPD. After 10 minutes, it frees back up. I have reviewed the logs, cron tables, made many config changes, but cannot track this problem down. Can someone please look at the information below and let me know if it is a configuration problem, or if anyone else has experienced this issue. Running TOP shows HTTPD using 165% of CPU VMware performance monitor also displays spikes. This happens every hour for 10 minutes. I have the following information from server status Server Version: Apache/2.2.15 (Unix) DAV/2 mod_wsgi/3.2 Python/2.6.6 Server Built: Feb 7 2012 09:50:15 Current Time: Sunday, 10-Jun-2012 21:44:29 EDT Restart Time: Sunday, 10-Jun-2012 19:44:51 EDT Parent Server Generation: 0 Server uptime: 1 hour 59 minutes 37 seconds Total accesses: 1088 - Total Traffic: 11.5 MB CPU Usage: u80.26 s243.8 cu0 cs0 - 4.52% CPU load .152 requests/sec - 1682 B/second - 10.8 kB/request 4 requests currently being processed, 11 idle workers ....._..........__......W....................................... ...................................C._..._....._L__._L_._....... ...................... Scoreboard Key: "_" Waiting for Connection, "S" Starting up, "R" Reading Request, "W" Sending Reply, "K" Keepalive (read), "D" DNS Lookup, "C" Closing connection, "L" Logging, "G" Gracefully finishing, "I" Idle cleanup of worker, "." Open slot with no current process Srv PID Acc M CPU SS Req Conn Child Slot Client VHost Request 0-0 - 0/0/34 . 0.42 327 17 0.0 0.00 0.67 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 1-0 - 0/0/22 . 0.31 339 32 0.0 0.00 0.26 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 2-0 - 0/0/22 . 0.65 358 10 0.0 0.00 0.31 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 3-0 - 0/0/31 . 1.03 378 31 0.0 0.00 0.60 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 4-0 - 0/0/20 . 0.45 356 9 0.0 0.00 0.31 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 5-0 18852 0/16/34 _ 0.98 27 18120 0.0 0.37 0.62 69.180.250.36 osqa.informs.org GET /questions/289/what-is-the-difference-between-operations-re 6-0 - 0/0/32 . 0.94 309 29 0.0 0.00 0.64 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 7-0 - 0/0/31 . 1.15 382 32 0.0 0.00 0.75 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 8-0 - 0/0/21 . 0.28 403 19 0.0 0.00 0.20 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 9-0 - 0/0/32 . 1.37 288 16 0.0 0.00 0.60 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 10-0 - 0/0/33 . 1.72 383 16 0.0 0.00 0.40 127.0.0.1 osqa.informs.org OPTIONS * HTTP/1.0 I am running Django 1.3 This is a mod_wsgi configuration and copied is the wsgi.conf file: <IfModule !python_module> <IfModule !wsgi_module> LoadModule wsgi_module modules/mod_wsgi.so <IfModule wsgi_module> <Directory /var/www/osqa> Order allow,deny Allow from all #Deny from all </Directory> WSGISocketPrefix /var/run/wsgi WSGIPythonEggs /var/tmp WSGIDaemonProcess OSQA maximum-requests=10000 WSGIProcessGroup OSQA Alias /admin_media/ /usr/lib/python2.6/site-packages/Django-1.2.5-py2.6.egg/django/contrib/admin/media/ Alias /m/ /var/www/osqa/forum/skins/ Alias /upfiles/ /var/www/osqa/forum/upfiles/ <Directory /var/www/osqa/forum/skins> Order allow,deny Allow from all </Directory> WSGIScriptAlias / /var/www/osqa/osqa.wsgi </IfModule> </IfModule> </IfModule> This is the httpd.conf file Timeout 120 KeepAlive Off MaxKeepAliveRequests 100 MaxKeepAliveRequests 400 KeepAliveTimeout 3 <IfModule prefork.c> Startservers 15 MinSpareServers 10 MaxSpareServers 20 ServerLimit 50 MaxClients 50 MaxRequestsPerChild 0 </IfModule> <IfModule worker.c> StartServers 4 MaxClients 150 MinSpareThreads 25 MaxSpareThreads 75 ThreadsPerChild 25 MaxRequestsPerChild 0 </IfModule> We are using MySQL The server is an ESX4i, configured for the VM to use 4 CPUs and 8 GB Ram. Hyper threading is enabled, 2 physical CPU's, with 4 Logical. the CPU are Intel Xeon 2.8 GHz. Total memory is 12GB

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  • Troubleshooting High Load on Plesk LAMP Dedicated Server

    - by Callmeed
    I have 2 nearly identical dedicated servers with the same provider. They also run a nearly identical software stack: RedHat 5 64-bit, Plesk, PHP, Apache, & MySQL. We use them for hosting custom sites we build. The problem is, while our 1st server has a load average (in top) of around 0.3, the 2nd server consistently has a load average of around 4.0 or higher. Basic functions in Plesk are delayed and there is a bit of latency when executing shell commands. Anyone have ideas why it would be so high? And why it would differ from our other server so much? Here is my current top output (sorted by %MEM) ... Any help is much appreciated ... top - 21:48:04 up 100 days, 4:28, 1 user, load average: 3.74, 4.20, 4.23 Tasks: 336 total, 1 running, 335 sleeping, 0 stopped, 0 zombie Cpu(s): 0.8%us, 0.4%sy, 0.0%ni, 91.3%id, 7.5%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 12290884k total, 11886452k used, 404432k free, 2920212k buffers Swap: 2096472k total, 244k used, 2096228k free, 6560692k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 22536 apache 15 0 860m 547m 6484 S 0.0 4.6 0:10.96 httpd 26467 apache 15 0 859m 546m 6408 S 0.0 4.5 0:07.67 httpd 3620 apache 15 0 859m 545m 5552 S 0.0 4.5 0:06.15 httpd 1895 apache 15 0 858m 544m 6356 S 0.0 4.5 0:08.25 httpd 16933 apache 15 0 858m 544m 5488 S 0.0 4.5 0:01.57 httpd 6431 apache 15 0 856m 542m 6076 S 10.6 4.5 0:05.32 httpd 14417 apache 15 0 856m 542m 5568 S 0.0 4.5 0:03.88 httpd 15403 apache 15 0 855m 541m 5616 S 0.0 4.5 0:03.73 httpd 19165 apache 15 0 853m 539m 6252 S 0.0 4.5 0:12.40 httpd 15898 apache 15 0 852m 539m 5376 S 0.0 4.5 0:02.68 httpd 14401 apache 15 0 851m 538m 5460 S 0.0 4.5 0:02.97 httpd 15393 apache 15 0 851m 538m 5404 S 0.0 4.5 0:03.12 httpd 15427 apache 15 0 851m 538m 5496 S 0.0 4.5 0:02.44 httpd 14412 apache 15 0 851m 538m 5324 S 0.0 4.5 0:02.15 httpd 18330 apache 15 0 851m 537m 5136 S 0.0 4.5 0:01.30 httpd 18303 apache 15 0 848m 535m 5140 S 0.0 4.5 0:00.47 httpd 21190 apache 15 0 845m 533m 3988 S 0.0 4.4 0:00.33 httpd 15923 root 18 0 822m 521m 9928 S 0.0 4.3 10:04.81 httpd 22021 apache 15 0 828m 520m 4964 S 0.0 4.3 0:00.16 httpd 22146 apache 15 0 823m 515m 3016 S 0.0 4.3 0:00.02 httpd 22345 apache 15 0 822m 514m 2408 S 0.0 4.3 0:00.00 httpd 14721 apache 15 0 733m 510m 488 S 0.0 4.3 0:00.00 httpd 5094 root 15 0 1452m 122m 15m S 1.0 1.0 852:24.24 java 4636 mysql 15 0 532m 57m 6440 S 1.0 0.5 488:05.84 mysqld 4799 popuser 15 0 166m 53m 2368 S 0.0 0.4 0:36.64 spamd 16761 popuser 15 0 159m 46m 2312 S 0.0 0.4 0:00.38 spamd 4797 root 15 0 158m 45m 2448 S 0.0 0.4 0:01.27 spamd 5074 root 34 19 255m 20m 2144 S 0.0 0.2 1:37.53 yum-updatesd 9917 named 15 0 366m 9804 1980 S 0.0 0.1 0:10.26 named 4332 sso 18 0 119m 8028 5212 S 0.0 0.1 0:00.06 sw-engine-cgi 4341 sso 18 0 119m 8028 5212 S 0.0 0.1 0:00.07 sw-engine-cgi 4350 sso 18 0 119m 8028 5212 S 0.0 0.1 0:00.09 sw-engine-cgi 4352 sso 18 0 119m 8028 5212 S 0.0 0.1 0:00.11 sw-engine-cgi 4376 ntp 15 0 23388 5020 3896 S 0.0 0.0 0:00.58 ntpd 4331 sw-cp-se 15 0 61336 4572 1480 S 0.0 0.0 5:53.22 sw-cp-serverd 4213 haldaemo 15 0 31252 4460 1684 S 0.0 0.0 0:01.52 hald 4778 postgres 18 0 117m 4164 3484 S 0.0 0.0 0:00.11 postmaster 18555 root 16 0 98.3m 3716 2852 S 0.0 0.0 0:00.01 sshd 4488 sso 18 0 119m 3044 224 S 0.0 0.0 0:00.00 sw-engine-cgi 4489 sso 18 0 119m 3044 224 S 0.0 0.0 0:00.00 sw-engine-cgi 4492 sso 18 0 119m 3044 224 S 0.0 0.0 0:00.00 sw-engine-cgi 4493 sso 18 0 119m 3044 224 S 0.0 0.0 0:00.00 sw-engine-cgi 4490 sso 18 0 119m 3040 220 S 0.0 0.0 0:00.00 sw-engine-cgi

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  • How to resolve high CPU + excessive stat("/etc/localtime") and clock_gettime(CLOCK_REALTIME) calls

    - by Yemster
    I've been experiencing really high CPU on a ruby on rails app (see stack below) and have been trying to diagnose the possible causes to no avail. Stack: ruby 1.9.3 rails 3.2.6 Apache/2.2.21 (Debian) Phusion Passenger 3.0.11 Whenever I run strace against the spiking Rack process PID (see Top excerpt below), I am seeing a tonne of stat("/etc/localtime") and clock_gettime(CLOCK_REALTIME) calls and have no idea how to stop these. Excerpt from Top showin running PID: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 11674 www-user 20 0 313m 182m 5076 R 99 2.3 63:04.60 Rack: /var/www/my_rails_app/current 11634 www-user 20 0 411m 216m 5144 S 10 2.7 197:55.63 Rack: /var/www/my_rails_app/current Strace snippet below: [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 141474018}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 141577456}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 143073982}) = 0 [pid 11674] poll([{fd=15, events=POLLIN|POLLPRI}], 1, 0) = 0 (Timeout) [pid 11674] write(15, "b\0\0\0\3SELECT `images`.* FROM `ima"..., 102) = 102 [pid 11674] read(15, "\1\0\0\1\0229\0\0\2\3def\23myappy_productio"..., 16384) = 2063 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 144138035}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 ... [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] stat("/etc/localtime", {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 154076443}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 154189429}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 157185700}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 157298770}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 165076003}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 165212572}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 167542679}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354058955, 167683436}) = 0 .... [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 62052248}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 62182486}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 62919948}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 63057266}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 63751707}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 73730686}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 75874687}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 76077133}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 78205019}) = 0 ... [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 89370879}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 89583247}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 91637614}) = 0 [pid 11674] clock_gettime(CLOCK_REALTIME, {1354060036, 91782149}) = 0 Have Google'd around and came across a number of suggestions which I've tried with no success. Things tried so far: Have tried setting time zone as recommended here Made no difference and issue still persists. Content of my /etc/localtime: TZif2UTCTZif2UTC UTC0 Have tried the recommended fix for the leapsecond bug: date -s 'date' No joy so far. I'm fresh out of ideas so any help/advice on how to diagnose or resolve would be greatly appreciated.

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  • Load average is have been high over some period

    - by user111196
    We have a dedicated MySQL server and below is the a snapshot of the top. The load average has been staying at nearly 100 for an hour plus ready. top - 20:54:28 up 7:31, 2 users, load average: 83.08, 96.88, 106.23 Tasks: 278 total, 2 running, 274 sleeping, 2 stopped, 0 zombie Cpu0 : 18.8%us, 10.2%sy, 0.0%ni, 70.9%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu1 : 51.2%us, 4.3%sy, 0.0%ni, 44.2%id, 0.0%wa, 0.0%hi, 0.3%si, 0.0%st Cpu2 : 9.0%us, 10.3%sy, 0.0%ni, 80.6%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu3 : 18.8%us, 7.4%sy, 0.0%ni, 73.8%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu4 : 7.8%us, 8.8%sy, 0.0%ni, 83.4%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu5 : 10.3%us, 8.4%sy, 0.0%ni, 81.4%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu6 : 6.2%us, 7.5%sy, 0.0%ni, 86.2%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu7 : 6.2%us, 6.2%sy, 0.0%ni, 87.3%id, 0.0%wa, 0.0%hi, 0.3%si, 0.0%st Cpu8 : 8.8%us, 10.4%sy, 0.0%ni, 80.5%id, 0.0%wa, 0.0%hi, 0.3%si, 0.0%st Cpu9 : 63.7%us, 4.6%sy, 0.0%ni, 12.2%id, 0.0%wa, 4.3%hi, 15.2%si, 0.0%st Cpu10 : 9.2%us, 10.2%sy, 0.0%ni, 80.6%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu11 : 17.3%us, 5.9%sy, 0.0%ni, 76.8%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu12 : 8.0%us, 8.7%sy, 0.0%ni, 83.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu13 : 10.9%us, 7.4%sy, 0.0%ni, 81.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu14 : 6.2%us, 6.9%sy, 0.0%ni, 86.9%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu15 : 4.8%us, 6.1%sy, 0.0%ni, 89.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 33009800k total, 23174396k used, 9835404k free, 120604k buffers Swap: 35061752k total, 0k used, 35061752k free, 16459540k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 3341 mysql 20 0 14.3g 4.6g 4240 S 417.8 14.5 1673:51 mysqld 24406 root 20 0 15008 1292 876 R 0.3 0.0 0:00.19 top 1 root 20 0 4080 852 608 S 0.0 0.0 0:01.92 init 2 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kthreadd 3 root RT -5 0 0 0 S 0.0 0.0 0:00.32 migration/0 4 root 15 -5 0 0 0 S 0.0 0.0 0:00.29 ksoftirqd/0 5 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/0 6 root RT -5 0 0 0 S 0.0 0.0 0:03.21 migration/1 7 root 15 -5 0 0 0 S 0.0 0.0 0:00.07 ksoftirqd/1 8 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/1 9 root RT -5 0 0 0 S 0.0 0.0 0:00.17 migration/2 10 root 15 -5 0 0 0 S 0.0 0.0 0:00.03 ksoftirqd/2 11 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/2 12 root RT -5 0 0 0 S 0.0 0.0 0:00.32 migration/3 13 root 15 -5 0 0 0 S 0.0 0.0 0:00.02 ksoftirqd/3 14 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/3 15 root RT -5 0 0 0 S 0.0 0.0 0:00.10 migration/4 16 root 15 -5 0 0 0 S 0.0 0.0 0:00.04 ksoftirqd/4 17 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/4 18 root RT -5 0 0 0 S 0.0 0.0 0:00.35 migration/5 We have also tried to run this command. What else command can help us diagnose the exact problem of this high load? netstat -nat |grep 3306 | awk '{print $6}' | sort | uniq -c | sort -n 1 LISTEN 1 SYN_RECV 410 ESTABLISHED 964 TIME_WAIT Output of vmstat 1: ---------------memory--------------- --swap-- --io-- --system-- -----cpu------ r b swpd free buff cache si so bi bo in cs us sy id wa st 2 0 0 12978936 30944 15172360 0 0 259 3 184 265 6 6 77 12 0

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  • Bad performance function in PHP. With large files memory blows up! How can I refactor?

    - by André
    Hi I have a function that strips out lines from files. I'm handling with large files(more than 100Mb). I have the PHP Memory with 256MB but the function that handles with the strip out of lines blows up with a 100MB CSV File. What the function must do is this: Originally I have the CSV like: Copyright (c) 2007 MaxMind LLC. All Rights Reserved. locId,country,region,city,postalCode,latitude,longitude,metroCode,areaCode 1,"O1","","","",0.0000,0.0000,, 2,"AP","","","",35.0000,105.0000,, 3,"EU","","","",47.0000,8.0000,, 4,"AD","","","",42.5000,1.5000,, 5,"AE","","","",24.0000,54.0000,, 6,"AF","","","",33.0000,65.0000,, 7,"AG","","","",17.0500,-61.8000,, 8,"AI","","","",18.2500,-63.1667,, 9,"AL","","","",41.0000,20.0000,, When I pass the CSV file to this function I got: locId,country,region,city,postalCode,latitude,longitude,metroCode,areaCode 1,"O1","","","",0.0000,0.0000,, 2,"AP","","","",35.0000,105.0000,, 3,"EU","","","",47.0000,8.0000,, 4,"AD","","","",42.5000,1.5000,, 5,"AE","","","",24.0000,54.0000,, 6,"AF","","","",33.0000,65.0000,, 7,"AG","","","",17.0500,-61.8000,, 8,"AI","","","",18.2500,-63.1667,, 9,"AL","","","",41.0000,20.0000,, It only strips out the first line, nothing more. The problem is the performance of this function with large files, it blows up the memory. The function is: public function deleteLine($line_no, $csvFileName) { // this function strips a specific line from a file // if a line is stripped, functions returns True else false // // e.g. // deleteLine(-1, xyz.csv); // strip last line // deleteLine(1, xyz.csv); // strip first line // Assigna o nome do ficheiro $filename = $csvFileName; $strip_return=FALSE; $data=file($filename); $pipe=fopen($filename,'w'); $size=count($data); if($line_no==-1) $skip=$size-1; else $skip=$line_no-1; for($line=0;$line<$size;$line++) if($line!=$skip) fputs($pipe,$data[$line]); else $strip_return=TRUE; return $strip_return; } It is possible to refactor this function to not blow up with the 256MB PHP Memory? Give me some clues. Best Regards,

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  • Multi-tenant ASP.NET MVC – Introduction

    - by zowens
    I’ve read a few different blogs that talk about multi-tenancy and how to resolve some of the issues surrounding multi-tenancy. What I’ve come to realize is that these implementations overcomplicate the issues and give only a muddy implementation! I’ve seen some really illogical code out there. I have recently been building a multi-tenancy framework for internal use at eagleenvision.net. Through this process, I’ve realized a few different techniques to make building multi-tenant applications actually quite easy. I will be posting a few different entries over the issue and my personal implementation. In this first post, I will discuss what multi-tenancy means and how my implementation will be structured.   So what’s the problem? Here’s the deal. Multi-tenancy is basically a technique of code-reuse of web application code. A multi-tenant application is an application that runs a single instance for multiple clients. Here the “client” is different URL bindings on IIS using ASP.NET MVC. The problem with different instances of the, essentially, same application is that you have to spin up different instances of ASP.NET. As the number of running instances of ASP.NET grows, so does the memory footprint of IIS. Stack Exchange shifted its architecture to multi-tenancy March. As the blog post explains, multi-tenancy saves cost in terms of memory utilization and physical disc storage. If you use the same code base for many applications, multi-tenancy just makes sense. You’ll reduce the amount of work it takes to synchronize the site implementations and you’ll thank your lucky stars later for choosing to use one application for multiple sites. Multi-tenancy allows the freedom of extensibility while relying on some pre-built code.   You’d think this would be simple. I have actually seen a real lack of reference material on the subject in terms of ASP.NET MVC. This is somewhat surprising given the number of users of ASP.NET MVC. However, I will certainly fill the void ;). Implementing a multi-tenant application takes a little thinking. It’s not straight-forward because the possibilities of implementation are endless. I have yet to see a great implementation of a multi-tenant MVC application. The only one that comes close to what I have in mind is Rob Ashton’s implementation (all the entries are listed on this page). There’s some really nasty code in there… something I’d really like to avoid. He has also written a library (MvcEx) that attempts to aid multi-tenant development. This code is even worse, in my honest opinion. Once I start seeing Reflection.Emit, I have to assume the worst :) In all seriousness, if his implementation makes sense to you, use it! It’s a fine implementation that should be given a look. At least look at the code. I will reference MvcEx going forward as a comparison to my implementation. I will explain why my approach differs from MvcEx and how it is better or worse (hopefully better).   Core Goals of my Multi-Tenant Implementation The first, and foremost, goal is to use Inversion of Control containers to my advantage. As you will see throughout this series, I pass around containers quite frequently and rely on their use heavily. I will be using StructureMap in my implementation. However, you could probably use your favorite IoC tool instead. <RANT> However, please don’t be stupid and abstract your IoC tool. Each IoC is powerful and by abstracting the capabilities, you’re doing yourself a real disservice. Who in the world swaps out IoC tools…? No one!</RANT> (It had to be said.) I will outline some of the goodness of StructureMap as we go along. This is really an invaluable tool in my tool belt and simple to use in my multi-tenant implementation. The second core goal is to represent a tenant as easily as possible. Just as a dependency container will be a first-class citizen, so will a tenant. This allows us to easily extend and use tenants. This will also allow different ways of “plugging in” tenants into your application. In my implementation, there will be a single dependency container for a single tenant. This will enable isolation of the dependencies of the tenant. The third goal is to use composition as a means to delegate “core” functions out to the tenant. More on this later.   Features In MvcExt, “Modules” are a code element of the infrastructure. I have simplified this concept and have named this “Features”. A feature is a simple element of an application. Controllers can be specified to have a feature and actions can have “sub features”. Each tenant can select features it needs and the other features will be hidden to the tenant’s users. My implementation doesn’t require something to be a feature. A controller can be common to all tenants. For example, (as you will see) I have a “Content” controller that will return the CSS, Javascript and Images for a tenant. This is common logic to all tenants and shouldn’t be hidden or considered a “feature”; Content is a core component.   Up next My next post will be all about the code. I will reveal some of the foundation to the way I do multi-tenancy. I will have posts dedicated to Foundation, Controllers, Views, Caching, Content and how to setup the tenants. Each post will be in-depth about the issues and implementation details, while adhering to my core goals outlined in this post. As always, comment with questions of DM me on twitter or send me an email.

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  • SQL Server 2008 uses half the CPU’s

    - by ACALVETT
    I recently got my hands on a couple of 4 socket servers with Intel E7-4870's (10 cores per cpu) and with hyper threading enabled that gave me 80 logical CPU's. The server has Windows 2008 R2 SP1 along with SQL 2008 (Currently we can not deploy SQL 2008 R2 for the application being hosted). When SQL Server started I noticed only 2 NUMA nodes were configured and 40 logical cores where there should have been 4 NUMA nodes and 80 logical cores (see below). The problem is caused by that fact that...(read more)

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  • Do not use “using” in WCF Client

    - by oazabir
    You know that any IDisposable object must be disposed using using. So, you have been using using to wrap WCF service’s ChannelFactory and Clients like this: using(var client = new SomeClient()) {. ..} Or, if you are doing it the hard and slow way (without really knowing why), then: using(var factory = new ChannelFactory<ISomeService>()) {var channel= factory.CreateChannel();...} That’s what we have all learnt in school right? We have learnt it wrong! When there’s a network related error or the connection is broken, or the call is timed out before Dispose is called by the using keyword, then it results in the following exception when the using keyword tries to dispose the channel: failed: System.ServiceModel.CommunicationObjectFaultedException : The communication object, System.ServiceModel.Channels.ServiceChannel, cannot be used for communication because it is in the Faulted state. Server stack trace: at System.ServiceModel.Channels.CommunicationObject.Close(TimeSpan timeout) Exception rethrown at [0]: at System.Runtime.Remoting.Proxies.RealProxy.HandleReturnMessage(IMessage reqMsg, IMessage retMsg) at System.Runtime.Remoting.Proxies.RealProxy.PrivateInvoke(MessageData& msgData, Int32 type) at System.ServiceModel.ICommunicationObject.Close(TimeSpan timeout) at System.ServiceModel.ClientBase`1.System.ServiceModel.ICommunicationObject.Close(TimeSpan timeout) at System.ServiceModel.ClientBase`1.Close() at System.ServiceModel.ClientBase`1.System.IDisposable.Dispose() There are various reasons for which the underlying connection can be at broken state before the using block is completed and the .Dispose() is called. Common problems like network connection dropping, IIS doing an app pool recycle at that moment, some proxy sitting between you and the service dropping the connection for various reasons and so on. The point is, it might seem like a corner case, but it’s a likely corner case. If you are building a highly available client, you need to treat this properly before you go-live. So, do NOT use using on WCF Channel/Client/ChannelFactory. Instead you need to use an alternative. Here’s what you can do: First create an extension method. public static class WcfExtensions{ public static void Using<T>(this T client, Action<T> work) where T : ICommunicationObject { try { work(client); client.Close(); } catch (CommunicationException e) { client.Abort(); } catch (TimeoutException e) { client.Abort(); } catch (Exception e) { client.Abort(); throw; } }} Then use this instead of the using keyword: new SomeClient().Using(channel => { channel.Login(username, password);}); Or if you are using ChannelFactory then: new ChannelFactory<ISomeService>().Using(channel => { channel.Login(username, password);}); Enjoy!

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  • Does just-ping determine a website's accessibility and/or speed?

    - by Yves
    While looking for a webhost I wanted one that had good connectivity around the world, and ran their (shared hosting) test IPs on just-ping.com. This is a part of a sample result: München, Germany: Packets lost (10%) 24.8 24.9 25.1 178.xx.xx.xxx Cologne, Germany: Okay 5.6 5.7 5.8 178.xx.xx.xxx New York, U.S.A.: Packets lost (30%) 80.3 80.4 80.7 178.xx.xx.xxx Stockholm, Sweden: Packets lost (100%) 178.xx.xx.xxx Santa Clara, U.S.A.: Packets lost (30%) 158.1 158.4 158.7 178.xx.xx.xxx Vancouver, Canada: Packets lost (70%) 189.4 189.5 189.5 178.xx.xx.xxx London, United Kingdom: Packets lost (100%) Am I correct in thinking that hosts with several "Packets lost" messages from different locations have less stable or slower connections than hosts with all "Okays"?

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  • Is JSF really ready to deliver high performance web applications?

    - by aklin81
    I have heard a lot of good about JSF but as far as I know people also had lots of serious complains with this technology in the past, not aware of how much the situation has improved. We are considering JSF as a probable technology for a social network project. But we are not aware of the performance scores of JSF neither we could really come across any existing high performance website that had been using JSF. People complain about its performance scalability issues. We are still not very sure if we are doing the right thing by choosing jsf, and thus would like to hear from you all about this and take your inputs into consideration. Is it possible to configure JSF to satisfy the high performance needs of social networking service ? Also till what extent is it possible to survive with the current problems in JSF.

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