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  • Changing memory allocator to Jemalloc Centos 6

    - by Brian Lovett
    After reading this blog post about the impact of memory allocators like jemalloc on highly threaded applications, I wanted to test things on a larger scale on some of our cluster of servers. We run sphinx, and apache using threads, and on 24 core machines. Installing jemalloc was simple enough. We are running Centos 6, so yum install jemalloc jemalloc-devel did the trick. My question is, how do we change everything on the system over to using jemalloc instead of the default malloc built into Centos. Research pointed me at this as a potential option: LD_PRELOAD=$LD_PRELOAD:/usr/lib64/libjemalloc.so.1 Would this be sufficient to get everything using jemalloc?

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  • Benchmark for website speed optimization

    - by gowri
    I working on website speed optimization. I mostly used 3 tools for analyzing speed of optimization. Speed analyzing Tools: Google pagespeed tool Yslow Firefox extenstion Web Page Performance Test I am measuring performance using above tool and benchmark result as below like before and after. Before optimization : Google PageSpeed Insights score : 53/100 Web Page Performance Test : 55/100 (First View : 10.710s, Repeat view : 6.387s ) Yahoo Overall performance score : 68 Stage 1 After optimization : Google PageSpeed Insights score : 88/100 Web Page Performance Test : 88/100 (First View : 6.733s, Repeat view : 1.908s ) Yahoo Overall performance score : 80 My question is ? Am i doing correct way ? What is the best way of benchmark for speed optimization ? Is there any standard ? Is there any much better tool for analyzing speed ?

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  • ATG Live Webcast March 21 Reminder: Network, WAN, and PC Performance Tuning (Performance Series Part 3 of 3)

    - by BillSawyer
    A quick reminder about tomorrow's webcast:  Andy Tremayne, Senior Architect, Applications Performance, and co-author of Oracle Applications Performance Tuning Handbook from Oracle Press, and Uday Moogala, Senior Principal Engineer, Applications Performance, will discuss network performance for E-Business Suite. Andy and Uday will cover tuning the client and tuning the network. They will share real-life examples of network performance, and show you tools and techniques that you can use to estimate or simulate performance on your own network.The agenda for the Performance Tuning - Part 3 of 3 webcast includes the following topics: Tuning the Client Tuning the Network Date:               Thursday, March 21, 2012Time:              8:00 AM - 9:00 AM Pacific Standard TimePresenters:  Andy Tremayne, Senior Architect, Applications Performance                        Uday Moogala, Senior Principal Engineer, Applications PerformanceWebcast Registration Link (Preregistration is optional but encouraged)To hear the audio feed:   Domestic Participant Dial-In Number:           877-697-8128    International Participant Dial-In Number:      706-634-9568    Additional International Dial-In Numbers Link:    Dial-In Passcode:                                              99341To see the presentation:    The Direct Access Web Conference details are:    Website URL: https://ouweb.webex.com    Meeting Number:  591264961If you miss the webcast, or you have missed any webcast, don't worry -- we'll post links to the recording as soon as it's available from Oracle University.  You can monitor this blog for pointers to the replay. And, you can find our archive of our past webcasts and training here.

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  • How to select a server that supports Windows scheduled file IO

    - by Kristof Verbiest
    Background: I am developing an application that needs to read data from disk with a fairly consistent throughput. It is important that this throughput is not influenced by other actions that happen on the disk (e.g. by other processes). For this purpose, I was hoping to use the 'Scheduled File I/O' feature in Windows (throught the GetFileBandwithReservation and SetFileBandwithReservation functions). However, this StackOverflow question has thought me that this feature is only available if the device driver supports it. Currently I have no computer at my disposition that seems to support this feature (I have an HP Proliant server and a Dell Precision workstation). Question: If I were to order a new server, how can I know beforehand if this feature will be supported by the device driver? How 'upscale' does the server have to be? Has anybody used this feature with success and cares to share his experiences?

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  • Why MySQL sat for 2 minutes doing nothing?

    - by Alex R
    This was a one-time thing, not reproducible... But I saved the show innodb status output. Can anybody tell what's going on here? The simple insert took almost 3 minutes to complete. | InnoDB | | ===================================== 110201 15:58:10 INNODB MONITOR OUTPUT ===================================== Per second averages calculated from the last 34 seconds ---------- SEMAPHORES ---------- OS WAIT ARRAY INFO: reservation count 11963, signal count 11766 --Thread 1824 has waited at .\btr\btr0cur.c line 443 for 118.00 seconds the sema phore: S-lock on RW-latch at 09D6453C created in file .\buf\buf0buf.c line 550 a writer (thread id 1824) has reserved it in mode wait exclusive number of readers 1, waiters flag 1 Last time read locked in file .\buf\buf0flu.c line 599 Last time write locked in file .\btr\btr0cur.c line 443 Mutex spin waits 0, rounds 527817, OS waits 7133 RW-shared spins 2532, OS waits 1226; RW-excl spins 1652, OS waits 1118 ------------ TRANSACTIONS ------------ Trx id counter 0 95830 Purge done for trx's n:o < 0 95814 undo n:o < 0 0 History list length 11 LIST OF TRANSACTIONS FOR EACH SESSION: ---TRANSACTION 0 0, not started, OS thread id 3704 MySQL thread id 551, query id 2702112 localhost 127.0.0.1 root show innodb status ---TRANSACTION 0 95829, not started, OS thread id 3132 MySQL thread id 534, query id 2702020 localhost 127.0.0.1 root ---TRANSACTION 0 95828, not started, OS thread id 3152 MySQL thread id 527, query id 2701973 localhost 127.0.0.1 root ---TRANSACTION 0 95827, ACTIVE 118 sec, OS thread id 1824 inserting, thread decl ared inside InnoDB 500 mysql tables in use 1, locked 1 1 lock struct(s), heap size 320, 0 row lock(s) MySQL thread id 526, query id 2701972 localhost 127.0.0.1 root update INSERT INTO log_searchcriteria (userid,search_criteria,date,search_type) VALUES ( NAME_CONST('userid',NULL), NAME_CONST('search_criteria',_latin1' SELECT SQL_C ALC_FOUND_ROWS idx_search.CTCX_LATITUDE, idx_search.CTCX_LONGITUDE, idx_search.b uilding_id, idx_search.LN_LIST_NUMBER, idx_search.LP_LIST_PRICE, idx_search.HSN_ ADRESS_HOUSE_NUMBER, idx_search.STR_ADDRESS_STREET, idx_search.CP_ADDRESS_COMPAS S_POINT, idx_search.UN_UNIT, idx_search.CIT_CITY, idx_search.ZP_ZIP_CODE, idx_se arch.AR_AREA_NAME, idx_search.BR_BEDROOMS, idx_search.BTH_BATHS, idx_search.ST_S TATUS, idx_search.CTCX_STYLE_TYPE, idx_s -------- FILE I/O -------- I/O thread 0 state: wait Windows aio (insert buffer thread) I/O thread 1 state: wait Windows aio (log thread) I/O thread 2 state: wait Windows aio (read thread) I/O thread 3 state: wait Windows aio (write thread) Pending normal aio reads: 0, aio writes: 1, ibuf aio reads: 0, log i/o's: 0, sync i/o's: 0 Pending flushes (fsync) log: 0; buffer pool: 0 151006 OS file reads, 120758 OS file writes, 6844 OS fsyncs 0.00 reads/s, 0 avg bytes/read, 0.00 writes/s, 0.00 fsyncs/s ------------------------------------- INSERT BUFFER AND ADAPTIVE HASH INDEX ------------------------------------- Ibuf: size 1, free list len 5, seg size 7, 24664 inserts, 24664 merged recs, 4612 merges Hash table size 553253, node heap has 629 buffer(s) 0.00 hash searches/s, 0.00 non-hash searches/s --- LOG --- Log sequence number 5 2318193115 Log flushed up to 5 2318193115 Last checkpoint at 5 2318129891 0 pending log writes, 0 pending chkp writes 3036 log i/o's done, 0.00 log i/o's/second ---------------------- BUFFER POOL AND MEMORY ---------------------- Total memory allocated 213459462; in additional pool allocated 1720192 Dictionary memory allocated 240416 Buffer pool size 8192 Free buffers 0 Database pages 7563 Modified db pages 18 Pending reads 0 Pending writes: LRU 0, flush list 18, single page 0 Pages read 150973, created 28788, written 115137 0.00 reads/s, 0.00 creates/s, 0.00 writes/s No buffer pool page gets since the last printout -------------- ROW OPERATIONS -------------- 1 queries inside InnoDB, 0 queries in queue 1 read views open inside InnoDB Main thread id 2992, state: flushing buffer pool pages Number of rows inserted 794294, updated 89203, deleted 13698, read 1453084305 0.00 inserts/s, 0.00 updates/s, 0.00 deletes/s, 0.00 reads/s ---------------------------- END OF INNODB MONITOR OUTPUT ============================ Thanks

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  • Which will give more free RAM to linux?

    - by Linda Thomas
    Trying to avoid some issues so I've been trying to learn vm. in kernel tuning but still a little confused even after googling. The lower background_ratio is the sooner the flushes? the lower dirty_ratio is the less dirty ram that is kept, right vm.dirty_ratio = 20 vm.dirty_background_ratio = 1 or vm.dirty_ratio = 60 vm.dirty_background_ratio = 20 or vm.dirty_ratio = 20 vm.dirty_background_ratio = 10 or vm.dirty_ratio = 20 vm.dirty_background_ratio = 5

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  • Best tool for monitoring backups, etc. and trending statstics from that data

    - by Randy Syring
    I have done some research on nagios, opennms, and zenoss but am not confident that I have found what I am looking for. The main driving force for me right now is being able to monitor backups. This includes mysql, mssql, and eventually some file system backups. We have a tool that wraps the backup process for these different systems and collects statistics. So, items like: number of databases backed up size of db backup file size of db backup file compressed time to make backup time to zip file I want to be able to A) have notifications if the jobs are not run according to schedule B) be able to set thresholds on the statistics which would trigger notifications C) I want to be able to trend and graph the statistics I am planning on sending this information to the monitoring application through an HTTP POST. Or, the monitoring application could pull it from a log file as well. However, we will have other processes with other "arbitrary" (from the monitoring system's perspective) statics that will want to monitor and trend, so flexibility is very important. The tool or tools should also be able to do general monitoring and trending of network interfaces, server load, etc. Once we get the backup monitoring in place, we will want to include those items as well. Thanks.

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  • How to check for bottlenecks in Windows Server 2008 R2

    - by Phil Koury
    I recently switched out a 10 year old server for a brand new server in a small office and upgraded from Windows Server 2000 to Windows Server 2008 R2. After the switch was complete and some configurations were changed around we are running into what appear to be some bottlenecks in the network speed. Accessing programs on the server is slower (resulting in long loading times, slower report generation, etc.) than it was on the old server hardware. I am wondering what options or tools I have, if there are any at all, to find out exactly where these hang ups might be coming from.

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  • How to know if my nginx is in good health?

    - by Howard
    I am running a nginx on EC2 (m1.small) for SSL termination. I am using 2 workers on Ubuntu, with latest nginx (stable), the network throughput is around 2Mbps and system load average is around 2 to 3. I am wondering if this system is in good health for now, e.g. what is the queue length (I know nginx can handle a lot of concurrent request, but I mean before the request is being served, how many of them need to wait before being served) what is the average queue time for a given request to be served. I want to know because if my nginx is cpu bounded (e.g. due to SSL), I will need to upgrade to a faster instance. My current nginx status Active connections: 4076 server accepts handled requests 90664283 90664283 104117012 Reading: 525 Writing: 81 Waiting: 3470

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  • Understanding MySQL Query Caches and when to implement it?

    - by Jeff
    On our current MySQL server query cache is enabled. Qchache_hits: 31913 Qchache_inserts: 50959 Qchache_lowmem_prunes: 9320 Qchache_not_chached: 209320 Qchache_queries_in_chace: 986 com_update: 0 com_delete: 0 I do not fully understand the Query cache - I am reading about it currently and trying to understand it. Our database holds inventory data, customer data, employee data, sales data and so forth. The query is very rarely run more than once. The possibility of a query being run twice is viewing a specific sales information twice. But basically everything in our system changes constantly. It is always being updated, deleted, insterted and off the top of my head I can't picture users running the same query twice within a week. Do I even need to have the query cache enabled? I am guessing that the inserts means 51k entries have been added, but only 986 of those are being stored? Would an idea be to refresh the cache, and watch it for a week and check how many of the queries in cached are accessed maybe on a weekly basis to see if it is actually returning any benefits? Any help/guidance on this is appreciated, thanks

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  • What are provenly scalable data persistence solutions for consumer profiles?

    - by Hubbard
    Consumer profiles with analytical scores [ConsumerID, 1..n demographical variables, 1...n analytical scores e.g. "likely to churn" "likely to buy an item 100$ in worth" etc.] have to be possible to query fast if they are to be used in customizing web-sites, consumer communications etc. Well. If you have: Large number of consumers Large profiles with a huge set of variables (as profiles describing human behaviour are likely to be..) ...you are in trouble. If you really have a physical relational database to which you target a query and then a physical disk starts to rotate someplace to give you an individual profile or a set of profiles, the profile user (a web site customizing a page, a recommendation engine making a recommendation..) has died of boredom before getting any observable results. There is the possibility of having the profiles in memory, which would of course increase the performance hugely. What are the most proven solutions for a fast-response, scalable consumer profile storage? Is there a shootout of these someplace?

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  • SQL Server 2005 high memory usage and performance problems

    - by emzero
    Hi there guys. I have this ASP.NET/SQLServer2005 website running on a production server (Win2003, QuadCore, 4GB). The site runs smoothly normally, but after 2-3 weeks I notice a slow performance on the site (especifically in one particular page). Also I notice that the SQL Server process is using like 2GBs of RAM. So I restart the service, the site runs fast again and the process 300-400MBs. I'm looking for an explanation of why is this happening? What is SQL Server storing in RAM that takes too much space and degrades the performance? What can I do to avoid this? I'm trying to avoid restarting the SQLServer everytime this happens. Thank you!

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  • WCF performance improvements

    - by Burt
    I am developing a WPF application that talks to a server via WCF services over the internet. After profiling the application I noticed a lot of time is being taking up by creating the appropriate WCF client proxy and making the call to the server. The code on the server is optimised and doesn't take any time to run yet I am still seeing a 1.5 second delay from when a service is invloked to it returning to the client. A few points to give a bit of background: I am using the ASP.Net membership for security I will eventually hook into the same server side code through a website I would eventually like to have offline support in the application I really need to nail the performance early though as if the app is taking a couple of seconds to come back it is too long for what I am trying to do. Can anyone suggest performance tips that will help me please?

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  • How to maximize http.sys file upload performance

    - by anelson
    I'm building a tool that transfers very large streaming data sets (possibly on the order of terabytes in a single stream; routinely in the tens of gigabytes) from one server to another. The client portion of the tool will read blocks from the source disk, and send them over the network. The server side will read these blocks off the network and write them to a file on the server disk. Right now I'm trying to decide which transport to use. Options are raw TCP, and HTTP. I really, REALLY want to be able to use HTTP. The HttpListener (or WCF if I want to go that route) make it easy to plug in to the HTTP Server API (http.sys), and I can get things like authentication and SSL for free. The problem right now is performance. I wrote a simple test harness that sends 128K blocks of NULL bytes using the BeginWrite/EndWrite async I/O idiom, with async BeginRead/EndRead on the server side. I've modified this test harness so I can do this with either HTTP PUT operations via HttpWebRequest/HttpListener, or plain old socket writes using TcpClient/TcpListener. To rule out issues with network cards or network pathways, both the client and server are on one machine and communicate over localhost. On my 12-core Windows 2008 R2 test server, the TCP version of this test harness can push bytes at 450MB/s, with minimal CPU usage. On the same box, the HTTP version of the test harness runs between 130MB/s and 200MB/s depending upon how I tweak it. In both cases CPU usage is low, and the vast majority of what CPU usage there is is kernel time, so I'm pretty sure my usage of C# and the .NET runtime is not the bottleneck. The box has two 6-core Xeon X5650 processors, 24GB of single-ranked DDR3 RAM, and is used exclusively by me for my own performance testing. I already know about HTTP client tweaks like ServicePointManager.MaxServicePointIdleTime, ServicePointManager.DefaultConnectionLimit, ServicePointManager.Expect100Continue, and HttpWebRequest.AllowWriteStreamBuffering. Does anyone have any ideas for how I can get HTTP.sys performance beyond 200MB/s? Has anyone seen it perform this well on any environment?

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  • Why does PostgresQL query performance drop over time, but restored when rebuilding index

    - by Jim Rush
    According to this page in the manual, indexes don't need to be maintained. However, we are running with a PostgresQL table that has a continuous rate of updates, deletes and inserts that over time (a few days) sees a significant query degradation. If we delete and recreate the index, query performance is restored. We are using out of the box settings. The table in our test is currently starting out empty and grows to half a million rows. It has a fairly large row (lots of text fields). We are search is based of an index, not the primary key (I've confirmed the index is being used, at least under normal conditions) The table is being used as a persistent store for a single process. Using PostgresQL on Windows with a Java client I'm willing to give up insert and update performance to keep up the query performance. We are considering rearchitecting the application so that data is spread across various dynamic tables in a manner that allows us to drop and rebuild indexes periodically without impacting the application. However, as always, there is a time crunch to get this to work and I suspect we are missing something basic in our configuration or usage. We have considered forcing vacuuming and rebuild to run at certain times, but I suspect the locking period for such an action would cause our query to block. This may be an option, but there are some real-time (windows of 3-5 seconds) implications that require other changes in our code. Additional information: Table and index CREATE TABLE icl_contacts ( id bigint NOT NULL, campaignfqname character varying(255) NOT NULL, currentstate character(16) NOT NULL, xmlscheduledtime character(23) NOT NULL, ... 25 or so other fields. Most of them fixed or varying character fiel ... CONSTRAINT icl_contacts_pkey PRIMARY KEY (id) ) WITH (OIDS=FALSE); ALTER TABLE icl_contacts OWNER TO postgres; CREATE INDEX icl_contacts_idx ON icl_contacts USING btree (xmlscheduledtime, currentstate, campaignfqname); Analyze: Limit (cost=0.00..3792.10 rows=750 width=32) (actual time=48.922..59.601 rows=750 loops=1) - Index Scan using icl_contacts_idx on icl_contacts (cost=0.00..934580.47 rows=184841 width=32) (actual time=48.909..55.961 rows=750 loops=1) Index Cond: ((xmlscheduledtime < '2010-05-20T13:00:00.000'::bpchar) AND (currentstate = 'SCHEDULED'::bpchar) AND ((campaignfqname)::text = '.main.ee45692a-6113-43cb-9257-7b6bf65f0c3e'::text)) And, yes, I am aware there there are a variety of things we could do to normalize and improve the design of this table. Some of these options may be available to us. My focus in this question is about understanding how PostgresQL is managing the index and query over time (understand why, not just fix). If it were to be done over or significantly refactored, there would be a lot of changes.

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  • MySQL index cardinality - performance vs storage efficiency

    - by Sean
    Say you have a MySQL 5.0 MyISAM table with 100 million rows, with one index (other than primary key) on two integer columns. From my admittedly poor understanding of B-tree structure, I believe that a lower cardinality means the storage efficiency of the index is better, because there are less parent nodes. Whereas a higher cardinality means less efficient storage, but faster read performance, because it has to navigate through less branches to get to whatever data it is looking for to narrow down the rows for the query. (Note - by "low" vs "high", I don't mean e.g. 1 million vs 99 million for a 100 million row table. I mean more like 90 million vs 95 million) Is my understanding correct? Related question - How does cardinality affect write performance?

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  • Wpf: Tips for better performance

    - by viky
    I am working on a wpf application. In which I am working with a TreeView, each node represents different datatypes, these datatypes are having properties defined and using data template to show their properties. My application reads from xml and create tree accordingly. My problem is that when I load it, it is too slow, I want to know about the tricks that will help me to improve performance of my(any) wpf application. Edit: Please provide me some tips for better performance in wpf!! I am using wpf Profiler but it is not much helpful for me.

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  • Performance Improvement: Alternative for array_flip function.

    - by Rachel
    Is there any way I can avoid using array_flip to optimize performance. I am doing a select statement from database, preparing the query and executing it and storing data as an associative array in $resultCollection and than I have array op and for each element in $resultCollection am storing its outputId in op[] as evident from the code. I have explained code and so my question is how can I achieve an similar alternative for array_flip with using array_flip as I want to improve performance. $resultCollection = $statement->fetchAll(PDO::FETCH_ASSOC); $op = array(); //Looping through result collection and storing unicaOfferId into op array. foreach ($resultCollection as $output) { $op[] = $output['outputId']; } //Here op array has key as 0, 1, 2...and value as id {which I am interested in} //Flip op array to get unica offer ids as key $op = array_flip($op); //Doing a flip to get id as key. foreach ($ft as $Id => $Off) { $ft[$Id]['is_set'] = isset($op[$Id]); }

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  • Performance logging tips

    - by Germstorm
    I am developing large data collecting ASP.Net/Windows service application-pair that uses Microsoft SQL Server 2005 through LINQ2Sql. Performance is always the issue. Currently the application is divided into multiple larger processing parts, each logging the duration of their work. This is not detailed and does not help us with anything. It would be nice to have some database tables that contain statistics that the application itself collected from its own behavior. What logging tips and data structures do you recommend to spot the parts that cause performance problems?

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  • Declarative JDOQL vs Single-String JDOQL : performance

    - by DrDro
    When querying with JDOQL is there a performance difference between using the declarative version and the Single-String version: Example from the JDOQL doc: //Declarative JDOQL : Query q = pm.newQuery(org.jpox.Person.class, "lastName == \"Jones\" && age < age_limit"); q.declareParameters("double age_limit"); List results = (List)q.execute(20.0); //Single-String JDOQL : Query q = pm.newQuery("SELECT FROM org.jpox.Person WHERE lastName == \"Jones\"" + " && age < :age_limit PARAMETERS double age_limit"); List results = (List)q.execute(20.0); Other then performance, are there any reasons for which one is better to use then the other or is it just about the one with which we feel more comfortable.

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