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  • Hard Drive Fundamentals And Verifying Disk Performance

    - by Agnel Kurian
    Over the past few months, my Windows XP machine has slowed down to a crawl. It takes about 10-15 minutes to go from power-up to reaching a responsive state. I have reasons to believe that this is a result of the hard disk slowing down. Questions: Do hard disks slow down as a result of mechanical wear and tear ...or age? How do I check if my disk has slowed down? Conversely, how can I verify that my disk is indeed running at the speed it's designed to run at? Could drivers be at fault here? Do hard disks come with drivers or does Windows use a generic driver?

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  • Google bots are severely affecting site performance

    - by Lynn
    I have an aggregate site on a linux server that pulls in feeds from a universe of about 2,000 blogs. It's in Wordpress 3.4.2 and I have a cron job that is staggered to run five times an hour on another server to pull in the stories and then publish them to the front page of this site. This is so I didn't put too much pressure all on one server. However, the Google bots, which visit a few times every hour bring the server to its knees in the morning and evenings when there is an increase in traffic on the site. The bots have something like 30,000 links to follow at this point. How do I throttle the bots to simply grab the new stories off the front page and stop there? EDIT- Details of my server configuration: The way we have this set up is the server that handles all the publishing is an unmanaged instance via AWS. It mounts the NFS server and connects to the RDS to update content, etc. You get to this publishing instance via a plugin that detects the wp-admin link and then redirects you into there. The front end app server also mounts the NFS and requests data from the RDS. It is the only one that has the WP Super Cache on it.... The OS is Ubuntu on the App server and the NFS runs CentOs. The front end is Nginx and the publishing server is Apache.

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  • Solaris TCP/IP performance tuning

    - by Andy Faibishenko
    I am trying to tune a high message traffic system running on Solaris. The architecture is a large number (600) of clients which connect via TCP to a big Solaris server and then send/receive relatively small messages (.5 to 1K payload) at high rates. The goal is to minimize the latency of each message processed. I suspect that the TCP stack of the server is getting overwhelmed by all the traffic. What are some commands/metrics that I can use to confirm this, and in case this is true, what is the best way to alleviate this bottleneck? PS I posted this on StackOverflow originally. One person suggested snoop and dtrace. dtrace seems pretty general - are there any additional pointers on how to use it to diagnose TCP issues?

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  • apache and ajp performance

    - by user12145
    I have an apache sitting in front of two tomcat app servers(one on the same physical server, the other on a different one) that does time consuming work(0.5 sec to 10sec per request). The apache http server is getting killed by an average of 1 to 2 concurrent requests per second. both Server spec is about 2GB of RAM. Is there a way to optimize apache to handle the load? any advise is welcome. BalancerMember ajp://localhost:8009/xxxxxx BalancerMember ajp://XXX.XX.XXX.XX:8009/xxxxxx I keep getting the following in apache2.2 log: [Mon Dec 28 00:31:02 2009] [error] ajp_read_header: ajp_ilink_receive failed [Mon Dec 28 00:31:02 2009] [error] (120006)APR does not understand this error code: proxy: read response failed from 127.0.0.1:8009 (localhost)

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  • poor performance when deleteing many files

    - by choppy
    I've got two machines: The first is IBM Blade with 24 cores 96GB RAM and single local hard drive with 278GB divided to 4 partitions: 1. c: - 40GB; 3GB free 2. d: - 40GB; 37GB free 3. e: - 198322GB; 198.1 free 4. 100MB (EFI system Partition) Formatted with GPT The other is pizza server with 4 cores 8GB RAM and single local hard drive with 273GB divided to 3 partitions: 1. c: - 136.81; 20GB free 2. d: - 88.74GB; 87.91 free 3. e: - 47.85GB; 46.91 free Formatted with MBR I have two scripts, the first creates 20,000 files in one directory, each file size is 192KB, the second delete the folder (recursive) and prints how much time it toke to delete all files. The problem is on the first server (blade) it takes about 2 minutes to delete all 20,000 files while on the second (pizza) it takes about 4 seconds!? Both servers have clean windows server 2008R2 with no special application running on background. Any ideas what is going on?

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  • SamFS performance problem on file creation

    - by Gregor Longariva
    I have two samfs filesystems (samfs1 and samfs2), both on the same 6130, both with the same config/watermarks/timeouts etc. creating a file on samfs2 works as it should, on samfs1 not. A little simple script shows up, that every while and then the file creation needs between 11 and 28 seconds: stan 12:32 [scratch]# while ( 1 ) while? echo - while? time echo test file while? time mv file file2 while? echo + while? sleep 1 while? end 0.00u 0.00s 0:00.01 0.0% 0.00u 0.00s 0:00.00 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.03 0.0% + 0.00u 0.00s 0:23.71 0.0% 0.00u 0.00s 0:00.14 0.0% + 0.00u 0.00s 0:00.18 0.0% 0.00u 0.00s 0:00.13 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.05 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.06 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.05 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.05 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.05 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.04 0.0% + 0.00u 0.00s 0:00.04 0.0% 0.00u 0.00s 0:00.05 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.01 0.0% + 0.00u 0.00s 0:26.05 0.0% 0.00u 0.00s 0:00.50 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.06 0.0% + 0.00u 0.00s 0:00.00 0.0% 0.00u 0.00s 0:00.12 0.0% + Any idea where the problem could be?

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  • Getting More Performance out of a MacBook Pro

    - by 5arx
    So I've got a mid-2009 MacBook Pro 13". Integrated GPU so not a games machine but fast enough for doing .Net development in VMs. I love the little thing and wanted to give it a Christmas present so thought I'd mod it up a bit and give it a boost. I'm thinking of swapping out the stock 5400rpm HD with a faster hybrid drive (has 4GB RAM and spins at 7200rpm) but was wondering if any of you had tried or knew of anything else I could change/upgrade/mod to squeeze more out of my laptop. Before you answer though, please be aware that I'm not sure I can run to putting in the 8GB of RAM Apple have suggested :-( Thanks in advance.

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  • refresh windows network performance counters in command line

    - by michalv82
    I am testing a USB device connected to a windows PC. When the device is connected then windows has another network interface going through the device. I need to get the bytes transffered for that specific interface, basically I need the data shown in the networking tab in the task manager for my interface adapter. I found this question which helped to get this info: ms windows network activity bytes send and receive in command line However I have a problem when I run multiple tests - each time I disconnect and connect the device there's another line for the interface, like below. In the task manager networking tab I only see one record for my interface but I don't know how I can know from command line which is the lastest and current instance (it's not like the first line or last line is always the current interface, I noticed it's not consistent): wmic path Win32_PerfRawData_Tcpip_NetworkInterface Get Name,PacketsReceivedPerSec,PacketsSentPerSec,BytesReceivedPersec,BytesSentPersec BytesReceivedPersec BytesSentPersec Name PacketsReceivedPersec PacketsSentPersec 422666370 6317989292 Intel[R] 82579LM Gigabit Network Connection 2715169 8109643 49150 375973 My USB Device 432 568 0 0 My USB Device _2 0 0 0 0 My USB Device _3 0 0 0 0 My USB Device _6 0 0 0 0 Local Area Connection* 9 0 0

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  • monitoring TCP/IP performance on Solaris

    - by Andy Faibishenko
    I am trying to tune a high message traffic system running on Solaris. The architecture is a large number (600) of clients which connect via TCP to a big Solaris server and then send/receive relatively small messages (.5 to 1K payload) at high rates. The goal is to minimize the latency of each message processed. I suspect that the TCP stack of the server is getting overwhelmed by all the traffic. What are some commands/metrics that I can use to confirm this, and in case this is true, what is the best way to alleviate this bottleneck?

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  • SSD performance

    - by Tom
    I recently upgraded to a Kingston Hyper-X 120GB SSD, when I run Crystaldiskmark my scores look really slow, my MB (gigabyte 775) does not have an option for ACHI in the BIOS, I'm wondering if that's an issue. The scores were: Seq read -233 write-176.8 512K-224 write-175.8 4K-25 write-80 4K-23 write-102 This drive is rated for over 500, Any help or input would be greatly appreciated..

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  • performance monitoring

    - by Sunny
    I want to monitor CPU usage, disk read/write usage for a particular process, say ./myprocess. To monitor CPU top command seems to be a nice option and for read and write iotop seems to be a handy one. For example to monitor read/write for every second i use the command iotop -tbod1 | grep "myprocess". My difficulty is I just want only three variables to store, namely read/sec, write/sec, cpu usage/sec. Could you help me with a script that combines the outputs the above said three variables from top and iotop to be stored into a log file? Thanks!

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  • Fixing predicated NSFetchedResultsController/NSFetchRequest performance with SQLite backend?

    - by Jaanus
    I have a series of NSFetchedResultsControllers powering some table views, and their performance on device was abysmal, on the order of seconds. Since it all runs on main thread, it's blocking my app at startup, which is not great. I investigated and turns out the predicate is the problem: NSPredicate *somePredicate = [NSPredicate predicateWithFormat:@"ANY somethings == %@", something]; [fetchRequest setPredicate:somePredicate]; I.e the fetch entity, call it "things", has a many-to-many relation with entity "something". This predicate is a filter that limits the results to only things that have a relation with a particular "something". When I removed the predicate for testing, fetch time (the initial performFetch: call) dropped (for some extreme cases) from 4 seconds to around 100ms or less, which is acceptable. I am troubled by this, though, as it negates a lot of the benefit I was hoping to gain with Core Data and NSFRC, which otherwise seems like a powerful tool. So, my question is, how can I optimize this performance? Am I using the predicate wrong? Should I modify the model/schema somehow? And what other ways there are to fix this? Is this kind of degraded performance to be expected? (There are on the order of hundreds of <1KB objects.) EDIT WITH DETAILS: Here's the code: [fetchRequest setFetchLimit:200]; NSLog(@"before fetch"); BOOL success = [frc performFetch:&error]; if (!success) { NSLog(@"Fetch request error: %@", error); } NSLog(@"after fetch"); Updated logs (previously, I had some application inefficiencies degrading the performance here. These are the updated logs that should be as close to optimal as you can get under my current environment): 2010-02-05 12:45:22.138 Special Ppl[429:207] before fetch 2010-02-05 12:45:22.144 Special Ppl[429:207] CoreData: sql: SELECT DISTINCT 0, t0.Z_PK, t0.Z_OPT, <model fields> FROM ZTHING t0 LEFT OUTER JOIN Z_1THINGS t1 ON t0.Z_PK = t1.Z_2THINGS WHERE t1.Z_1SOMETHINGS = ? ORDER BY t0.ZID DESC LIMIT 200 2010-02-05 12:45:22.663 Special Ppl[429:207] CoreData: annotation: sql connection fetch time: 0.5094s 2010-02-05 12:45:22.668 Special Ppl[429:207] CoreData: annotation: total fetch execution time: 0.5240s for 198 rows. 2010-02-05 12:45:22.706 Special Ppl[429:207] after fetch If I do the same fetch without predicate (by commenting out the two lines in the beginning of the question): 2010-02-05 12:44:10.398 Special Ppl[414:207] before fetch 2010-02-05 12:44:10.405 Special Ppl[414:207] CoreData: sql: SELECT 0, t0.Z_PK, t0.Z_OPT, <model fields> FROM ZTHING t0 ORDER BY t0.ZID DESC LIMIT 200 2010-02-05 12:44:10.426 Special Ppl[414:207] CoreData: annotation: sql connection fetch time: 0.0125s 2010-02-05 12:44:10.431 Special Ppl[414:207] CoreData: annotation: total fetch execution time: 0.0262s for 200 rows. 2010-02-05 12:44:10.457 Special Ppl[414:207] after fetch 20-fold difference in times. 500ms is not that great, and there does not seem to be a way to do it in background thread or otherwise optimize that I can think of. (Apart from going to a binary store where this becomes a non-issue, so I might do that. Binary store performance is consistently ~100ms for the above 200-object predicated query.) (I nested another question here previously, which I now moved away).

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  • SQL Query Not Functioning - No Error Message

    - by gamerzfuse
    // Write the data to the database $query = "INSERT INTO staff (name, lastname, username, password, position, department, birthmonth, birthday, birthyear, location, phone, email, street, city, state, country, zip, tags, photo) VALUES ('$name', '$lastname', '$username', '$password', '$position', '$department', '$birthmonth', '$birthday', '$birthyear', '$location', '$phone', '$email', '$street', '$city', '$state', '$country', '$zip', '$tags', '$photo')"; mysql_query($query); var_dump($query); echo '<p>' . $name . ' has been added to the Employee Directory.</p>'; if (!$query) { die('Invalid query: ' . mysql_error()); } Can someone tell me why the above code produced: string(332) "INSERT INTO staff (name, lastname, username, password, position, department, birthmonth, birthday, birthyear, location, phone, email, street, city, state, country, zip, tags, photo) VALUES ('Craig', 'Hooghiem', 'sdf', 'sdf', 'sdf', 'sdf', '01', '01', 'sdf', 'sdf', '', 'sdf', 'sdf', 'sd', 'sdf', 'sdf', 'sd', 'sdg', 'leftround.gif')" Craig has been added to the Employee Directory. But does not actually add anything into the database table "staff" ? I must be missing something obvious here.

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  • java: decoding URI query string

    - by Jason S
    I need to decode a URI that contains a query string; expected input/output behavior is something like the following: abstract class URIParser { /** example input: * something?alias=pos&FirstName=Foo+A%26B%3DC&LastName=Bar */ URIParser(String input) { ... } /** should return "something" for the example input */ public String getPath(); /** should return a map * {alias: "pos", FirstName: "Foo+A&B=C", LastName: "Bar"} */ public Map<String,String> getQuery(); } I've tried using java.net.URI, but it seems to decode the query string so in the above example I'm left with "alias=pos&FirstName=Foo+A&B=C&LastName=Bar" so there is ambiguity whether a "&" is a query separator or is a character in a query component. edit: just tried URI.getRawQuery() and it doesn't do the encoding, so I can split the query string with a "&", but then what do I do? Any suggestions?

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  • MySQL query killing my server

    - by Webnet
    Looking at this query there's got to be something bogging it down that I'm not noticing. I ran it for 7 minutes and it only updated 2 rows. //set product count for makes $tru->query->run(array( 'name' => 'get-make-list', 'sql' => 'SELECT id, name FROM vehicle_make', 'connection' => 'core' )); while($tempMake = $tru->query->getArray('get-make-list')) { $tru->query->run(array( 'name' => 'update-product-count', 'sql' => 'UPDATE vehicle_make SET product_count = ( SELECT COUNT(product_id) FROM taxonomy_master WHERE v_id IN ( SELECT id FROM vehicle_catalog WHERE make_id = '.$tempMake['id'].' ) ) WHERE id = '.$tempMake['id'], 'connection' => 'core' )); } I'm sure this query can be optimized to perform better, but I can't think of how to do it. vehicle_make = 45 rows taxonomy_master = 11,223 rows vehicle_catalog = 5,108 rows All tables have appropriate indexes

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  • PDO update query with conditional?

    - by dmontain
    I have a PDO mysql that updates 3 fields. $update = $mypdo->prepare("UPDATE tablename SET field1=:field1, field2=:field2, field3=:field3 WHERE key=:key"); But I want field3 to be updated only when $update3 = true; (meaning that the update of field3 is controlled by a conditional statement) Is this possible to accomplish with a single query? I could do it with 2 queries where I update field1 and field2 then check the boolean and update field3 if needed in a separate query. //run this query to update only fields 1 and 2 $update_part1 = $mypdo->prepare("UPDATE tablename SET field1=:field1, field2=:field2 WHERE key=:key"); //if field3 should be update, run a separate query to update it separately if ($update3){ $update_part2 = $mypdo->prepare("UPDATE tablename SET field3=:field3 WHERE key=:key"); } But hopefully there is a way to accomplish this in 1 query?

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  • make reference to an empty query in flex

    - by Adam
    a bit of a dumb questions I'm sure I'm trying to allow user to set an item to be default. I've got a function that run a query to first find the current default item. Then runs a second query that unsets the current default item. Then a third query runs to set the new user selected item to be the default. This seem to work fine when a default item has been perviously selected, but when I try to set the default item initially I get the good old "Cannot access a property or method of a null object reference." error. This is because the first query that runs returns no items I'm sure. So I need to write an if statement that if the first query returns nothing to skip the second and go right to the third. The only problem is I can't make a reference to a null object. So how do I go about writing this statement. Thanks

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  • Update query with conditional?

    - by dmontain
    I'm not sure if this possible. If not, let me know. I have a PDO mysql that updates 3 fields. $update = $mypdo->prepare("UPDATE tablename SET field1=:field1, field2=:field2, field3=:field3 WHERE key=:key"); But I want field3 to be updated only when $update3 = true; (meaning that the update of field3 is controlled by a conditional statement) Is this possible to accomplish with a single query? I could do it with 2 queries where I update field1 and field2 then check the boolean and update field3 if needed in a separate query. //run this query to update only fields 1 and 2 $update_part1 = $mypdo->prepare("UPDATE tablename SET field1=:field1, field2=:field2 WHERE key=:key"); //if field3 should be update, run a separate query to update it separately if ($update3){ $update_part2 = $mypdo->prepare("UPDATE tablename SET field3=:field3 WHERE key=:key"); } But hopefully there is a way to accomplish this in 1 query?

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  • Rails 3 query in multiple date ranges

    - by NeoRiddle
    Suppose we have some date ranges, for example: ranges = [ [(12.months.ago)..(8.months.ago)], [(7.months.ago)..(6.months.ago)], [(5.months.ago)..(4.months.ago)], [(3.months.ago)..(2.months.ago)], [(1.month.ago)..(15.days.ago)] ] and a Post model with :created_at attribute. I want to find posts where created_at value is in this range, so the goal is to create a query like: SELECT * FROM posts WHERE created_at BETWEEN '2011-04-06' AND '2011-08-06' OR BETWEEN '2011-09-06' AND '2011-10-06' OR BETWEEN '2011-11-06' AND '2011-12-06' OR BETWEEN '2012-01-06' AND '2012-02-06' OR BETWEEN '2012-02-06' AND '2012-03-23'; If you have only one range like this: range = (12.months.ago)..(8.months.ago) we can do this query: Post.where(:created_at => range) and query should be: SELECT * FROM posts WHERE created_at BETWEEN '2011-04-06' AND '2011-08-06'; Is there a way to make this query using a notation like this Post.where(:created_at => range)? And what is the correct way to build this query? Thank you

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  • query excuting problem

    - by srini-r85
    hi, i tried to execute following query in php script. $db_selected = mysql_select_db("lumiinc1_sndemo1", $con); if ($db_selected) { echo "database connected"; } else { die ("Can\'t use db : " . mysql_error()); } $sql = "INSERT INTO `markers` ( `name`, `address`, `lat`, `lng`, `id` ) SELECT `name`, `street`, `latitude`, `longitude`, `lid` FROM `location` WHERE NOT EXISTS ( SELECT * FROM `markers` WHERE `location`.`lid` = `markers`.`id` )"; $result = mysql_query($sql); if ($result) { echo "Query executed OK"; } else { die("Invalid query: " . mysql_error()); } script does not show any error.also query executed.but i didn't get my expected result.at the same i try this query in phpmyAdmin i got my expected result. i dont know the cause of this problem. plz any one find the problem . thanks

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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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  • EPM Infrastructure Tuning Guide v11.1.2.2 / 11.1.2.3

    - by Ahmed Awan
    Applies To: This edition applies to only 11.1.2.2, 11.1.2.3. One of the most challenging aspects of performance tuning is knowing where to begin. To maximize Oracle EPM System performance, all components need to be monitored, analyzed, and tuned. This guide describe the techniques used to monitor performance and the techniques for optimizing the performance of EPM components. TOP TUNING RECOMMENDATIONS FOR EPM SYSTEM: Performance tuning Oracle Hyperion EPM system is a complex and iterative process. To get you started, we have created a list of recommendations to help you optimize your Oracle Hyperion EPM system performance. This chapter includes the following sections that provide a quick start for performance tuning Oracle EPM products. Note these performance tuning techniques are applicable to nearly all Oracle EPM products such as Financial PM Applications, Essbase, Reporting and Foundation services. 1. Tune Operating Systems parameters. 2. Tune Oracle WebLogic Server (WLS) parameters. 3. Tune 64bit Java Virtual Machines (JVM). 4. Tune 32bit Java Virtual Machines (JVM). 5. Tune HTTP Server parameters. 6. Tune HTTP Server Compression / Caching. 7. Tune Oracle Database Parameters. 8. Tune Reporting And Analysis Framework (RAF) Services. 9. Tune Oracle ADF parameters. Click to Download the EPM 11.1.2.3 Infrastructure Tuning Whitepaper (Right click or option-click the link and choose "Save As..." to download this pdf file)

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  • EPM 11.1.2 - EPM Infrastructure Tuning Guide v11.1.2.1

    - by Ahmed Awan
    Applies To: This edition applies to only 11.1.2, 11.1.2 (PS1). One of the most challenging aspects of performance tuning is knowing where to begin. To maximize Oracle EPM System performance, all components need to be monitored, analyzed, and tuned. This guide describe the techniques used to monitor performance and the techniques for optimizing the performance of EPM components. TOP TUNING RECOMMENDATIONS FOR EPM SYSTEM: Performance tuning Oracle Hyperion EPM system is a complex and iterative process. To get you started, we have created a list of recommendations to help you optimize your Oracle Hyperion EPM system performance. This chapter includes the following sections that provide a quick start for performance tuning Oracle EPM products. Note these performance tuning techniques are applicable to nearly all Oracle EPM products such as Financial PM Applications, Essbase, Reporting and Foundation services. 1. Tune Operating Systems parameters. 2. Tune Oracle WebLogic Server (WLS) parameters. 3. Tune 64bit Java Virtual Machines (JVM). 4. Tune 32bit Java Virtual Machines (JVM). 5. Tune HTTP Server parameters. 6. Tune HTTP Server Compression / Caching. 7. Tune Oracle Database Parameters. 8. Tune Reporting And Analysis Framework (RAF) Services. Click to Download the EPM 11.1.2.1 Infrastructure Tuning Whitepaper (Right click or option-click the link and choose "Save As..." to download this pdf file)

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  • mysql query to dynamically convert row data to columns

    - by Anirudh Goel
    I am working on a pivot table query. The schema is as follows Sno, Name, District The same name may appear in many districts eg take the sample data for example 1 Mike CA 2 Mike CA 3 Proctor JB 4 Luke MN 5 Luke MN 6 Mike CA 7 Mike LP 8 Proctor MN 9 Proctor JB 10 Proctor MN 11 Luke MN As you see i have a set of 4 distinct districts (CA, JB, MN, LP). Now i wanted to get the pivot table generated for it by mapping the name against districts Name CA JB MN LP Mike 3 0 0 1 Proctor 0 2 2 0 Luke 0 0 3 0 i wrote the following query for this select name,sum(if(District="CA",1,0)) as "CA",sum(if(District="JB",1,0)) as "JB",sum(if(District="MN",1,0)) as "MN",sum(if(District="LP",1,0)) as "LP" from district_details group by name However there is a possibility that the districts may increase, in that case i will have to manually edit the query again and add the new district to it. I want to know if there is a query which can dynamically take the names of distinct districts and run the above query. I know i can do it with a procedure and generating the script on the fly, is there any other method too? I ask so because the output of the query "select distinct(districts) from district_details" will return me a single column having district name on each row, which i will like to be transposed to the column.

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