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  • mySQL Optimization Suggestions

    - by Brian Schroeter
    I'm trying to optimize our mySQL configuration for our large Magento website. The reason I believe that mySQL needs to be configured further is because New Relic has shown that our SELECT queries are taking a long time (20,000+ ms) in some categories. I ran MySQLTuner 1.3.0 and got the following results... (Disclaimer: I restarted mySQL earlier after tweaking some settings, and so the results here may not be 100% accurate): >> MySQLTuner 1.3.0 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering [OK] Currently running supported MySQL version 5.5.37-35.0 [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: +ARCHIVE +BLACKHOLE +CSV -FEDERATED +InnoDB +MRG_MYISAM [--] Data in MyISAM tables: 7G (Tables: 332) [--] Data in InnoDB tables: 213G (Tables: 8714) [--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17) [--] Data in MEMORY tables: 0B (Tables: 353) [!!] Total fragmented tables: 5492 -------- Security Recommendations ------------------------------------------- [!!] User '@host5.server1.autopartsnetwork.com' has no password set. [!!] User '@localhost' has no password set. [!!] User 'root@%' has no password set. -------- Performance Metrics ------------------------------------------------- [--] Up for: 5h 3m 4s (5M q [317.443 qps], 42K conn, TX: 18B, RX: 2B) [--] Reads / Writes: 95% / 5% [--] Total buffers: 35.5G global + 184.5M per thread (1024 max threads) [!!] Maximum possible memory usage: 220.0G (174% of installed RAM) [OK] Slow queries: 0% (6K/5M) [OK] Highest usage of available connections: 5% (61/1024) [OK] Key buffer size / total MyISAM indexes: 512.0M/3.1G [OK] Key buffer hit rate: 100.0% (102M cached / 45K reads) [OK] Query cache efficiency: 66.9% (3M cached / 5M selects) [!!] Query cache prunes per day: 3486361 [OK] Sorts requiring temporary tables: 0% (0 temp sorts / 812K sorts) [!!] Joins performed without indexes: 1328 [OK] Temporary tables created on disk: 11% (126K on disk / 1M total) [OK] Thread cache hit rate: 99% (61 created / 42K connections) [!!] Table cache hit rate: 19% (9K open / 49K opened) [OK] Open file limit used: 2% (712/25K) [OK] Table locks acquired immediately: 100% (5M immediate / 5M locks) [!!] InnoDB buffer pool / data size: 32.0G/213.4G [OK] InnoDB log waits: 0 -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance MySQL started within last 24 hours - recommendations may be inaccurate Reduce your overall MySQL memory footprint for system stability Enable the slow query log to troubleshoot bad queries Increasing the query_cache size over 128M may reduce performance Adjust your join queries to always utilize indexes Increase table_cache gradually to avoid file descriptor limits Read this before increasing table_cache over 64: http://bit.ly/1mi7c4C Variables to adjust: *** MySQL's maximum memory usage is dangerously high *** *** Add RAM before increasing MySQL buffer variables *** query_cache_size (> 512M) [see warning above] join_buffer_size (> 128.0M, or always use indexes with joins) table_cache (> 12288) innodb_buffer_pool_size (>= 213G) My my.cnf configuration is as follows... [client] port = 3306 [mysqld_safe] nice = 0 [mysqld] tmpdir = /var/lib/mysql/tmp user = mysql port = 3306 skip-external-locking character-set-server = utf8 collation-server = utf8_general_ci event_scheduler = 0 key_buffer = 512M max_allowed_packet = 64M thread_stack = 512K thread_cache_size = 512 sort_buffer_size = 24M read_buffer_size = 8M read_rnd_buffer_size = 24M join_buffer_size = 128M # for some nightly processes client sessions set the join buffer to 8 GB auto-increment-increment = 1 auto-increment-offset = 1 myisam-recover = BACKUP max_connections = 1024 # max connect errors artificially high to support behaviors of NetScaler monitors max_connect_errors = 999999 concurrent_insert = 2 connect_timeout = 5 wait_timeout = 180 net_read_timeout = 120 net_write_timeout = 120 back_log = 128 # this table_open_cache might be too low because of MySQL bugs #16244691 and #65384) table_open_cache = 12288 tmp_table_size = 512M max_heap_table_size = 512M bulk_insert_buffer_size = 512M open-files-limit = 8192 open-files = 1024 query_cache_type = 1 # large query limit supports SOAP and REST API integrations query_cache_limit = 4M # larger than 512 MB query cache size is problematic; this is typically ~60% full query_cache_size = 512M # set to true on read slaves read_only = false slow_query_log_file = /var/log/mysql/slow.log slow_query_log = 0 long_query_time = 0.2 expire_logs_days = 10 max_binlog_size = 1024M binlog_cache_size = 32K sync_binlog = 0 # SSD RAID10 technically has a write capacity of 10000 IOPS innodb_io_capacity = 400 innodb_file_per_table innodb_table_locks = true innodb_lock_wait_timeout = 30 # These servers have 80 CPU threads; match 1:1 innodb_thread_concurrency = 48 innodb_commit_concurrency = 2 innodb_support_xa = true innodb_buffer_pool_size = 32G innodb_file_per_table innodb_flush_log_at_trx_commit = 1 innodb_log_buffer_size = 2G skip-federated [mysqldump] quick quote-names single-transaction max_allowed_packet = 64M I have a monster of a server here to power our site because our catalog is very large (300,000 simple SKUs), and I'm just wondering if I'm missing anything that I can configure further. :-) Thanks!

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  • NDepend tool – Why every developer working with Visual Studio.NET must try it!

    - by hajan
    In the past two months, I have had a chance to test the capabilities and features of the amazing NDepend tool designed to help you make your .NET code better, more beautiful and achieve high code quality. In other words, this tool will definitely help you harmonize your code. I mean, you’ve probably heard about Chaos Theory. Experienced developers and architects are already advocates of the programming chaos that happens when working with complex project architecture, the matrix of relationships between objects which simply even if you are the one who have written all that code, you know how hard is to visualize everything what does the code do. When the application get more and more complex, you will start missing a lot of details in your code… NDepend will help you visualize all the details on a clever way that will help you make smart moves to make your code better. The NDepend tool supports many features, such as: Code Query Language – which will help you write custom rules and query your own code! Imagine, you want to find all your methods which have more than 100 lines of code :)! That’s something simple! However, I will dig much deeper in one of my next blogs which I’m going to dedicate to the NDepend’s CQL (Code Query Language) Architecture Visualization – You are an architect and want to visualize your application’s architecture? I’m thinking how many architects will be really surprised from their architectures since NDepend shows your whole architecture showing each piece of it. NDepend will show you how your code is structured. It shows the architecture in graphs, but if you have very complex architecture, you can see it in Dependency Matrix which is more suited to display large architecture Code Metrics – Using NDepend’s panel, you can see the code base according to Code Metrics. You can do some additional filtering, like selecting the top code elements ordered by their current code metric value. You can use the CQL language for this purpose too. Smart Search – NDepend has great searching ability, which is again based on the CQL (Code Query Language). However, you have some options to search using dropdown lists and text boxes and it will generate the appropriate CQL code on fly. Moreover, you can modify the CQL code if you want it to fit some more advanced searching tasks. Compare Builds and Code Difference – NDepend will also help you compare previous versions of your code with the current one at one of the most clever ways I’ve seen till now. Create Custom Rules – using CQL you can create custom rules and let NDepend warn you on each build if you break a rule Reporting – NDepend can automatically generate reports with detailed stats, graph representation, dependency matrixes and some additional advanced reporting features that will simply explain you everything related to your application’s code, architecture and what you’ve done. And that’s not all. As I’ve seen, there are many other features that NDepend supports. I will dig more in the upcoming days and will blog more about it. The team who built the NDepend have also created good documentation, which you can find on the NDepend website. On their website, you can also find some good videos that will help you get started quite fast. It’s easy to install and what is very important it is fully integrated with Visual Studio. To get you started, you can watch the following Getting Started Online Demo and Tutorial with explanations and screenshots. If you are interested to know more about how to use the features of this tool, either visit their website or wait for my next blogs where I will show some real examples of using the tool and how it helps make your code better. And the last thing for this blog, I would like to copy one sentence from the NDepend’s home page which says: ‘Hence the software design becomes concrete, code reviews are effective, large refactoring are easy and evolution is mastered.’ Website: www.ndepend.com Getting Started: http://www.ndepend.com/GettingStarted.aspx Features: http://www.ndepend.com/Features.aspx Download: http://www.ndepend.com/NDependDownload.aspx Hope you like it! Please do let me know your feedback by providing comments to my blog post. Kind Regards, Hajan

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  • Scripting with the Sun ZFS Storage 7000 Appliance

    - by Geoff Ongley
    The Sun ZFS Storage 7000 appliance has a user friendly and easy to understand graphical web based interface we call the "BUI" or "Browser User Interface".This interface is very useful for many tasks, but in some cases a script (or workflow) may be more appropriate, such as:Repetitive tasksTasks which work on (or obtain information about) a large number of shares or usersTasks which are triggered by an alert threshold (workflows)Tasks where you want a only very basic input, but a consistent output (workflows)The appliance scripting language is based on ECMAscript 3 (close to javascript). I'm not going to cover ECMAscript 3 in great depth (I'm far from an expert here), but I would like to show you some neat things you can do with the appliance, to get you started based on what I have found from my own playing around.I'm making the assumption you have some sort of programming background, and understand variables, arrays, functions to some extent - but of course if something is not clear, please let me know so I can fix it up or clarify it.Variable Declarations and ArraysVariablesECMAScript is a dynamically and weakly typed language. If you don't know what that means, google is your friend - but at a high level it means we can just declare variables with no specific type and on the fly.For example, I can declare a variable and use it straight away in the middle of my code, for example:projects=list();Which makes projects an array of values that are returned from the list(); function (which is usable in most contexts). With this kind of variable, I can do things like:projects.length (this property on array tells you how many objects are in it, good for for loops etc). Alternatively, I could say:projects=3;and now projects is just a simple number.Should we declare variables like this so loosely? In my opinion, the answer is no - I feel it is a better practice to declare variables you are going to use, before you use them - and given them an initial value. You can do so as follows:var myVariable=0;To demonstrate the ability to just randomly assign and change the type of variables, you can create a simple script at the cli as follows (bold for input):fishy10:> script("." to run)> run("cd /");("." to run)> run ("shares");("." to run)> var projects;("." to run)> projects=list();("." to run)> printf("Number of projects is: %d\n",projects.length);("." to run)> projects=152;("." to run)> printf("Value of the projects variable as an integer is now: %d\n",projects);("." to run)> .Number of projects is: 7Value of the projects variable as an integer is now: 152You can also confirm this behaviour by checking the typeof variable we are dealing with:fishy10:> script("." to run)> run("cd /");("." to run)> run ("shares");("." to run)> var projects;("." to run)> projects=list();("." to run)> printf("var projects is of type %s\n",typeof(projects));("." to run)> projects=152;("." to run)> printf("var projects is of type %s\n",typeof(projects));("." to run)> .var projects is of type objectvar projects is of type numberArraysSo you likely noticed that we have already touched on arrays, as the list(); (in the shares context) stored an array into the 'projects' variable.But what if you want to declare your own array? Easy! This is very similar to Java and other languages, we just instantiate a brand new "Array" object using the keyword new:var myArray = new Array();will create an array called "myArray".A quick example:fishy10:> script("." to run)> testArray = new Array();("." to run)> testArray[0]="This";("." to run)> testArray[1]="is";("." to run)> testArray[2]="just";("." to run)> testArray[3]="a";("." to run)> testArray[4]="test";("." to run)> for (i=0; i < testArray.length; i++)("." to run)> {("." to run)>    printf("Array element %d is %s\n",i,testArray[i]);("." to run)> }("." to run)> .Array element 0 is ThisArray element 1 is isArray element 2 is justArray element 3 is aArray element 4 is testWorking With LoopsFor LoopFor loops are very similar to those you will see in C, java and several other languages. One of the key differences here is, as you were made aware earlier, we can be a bit more sloppy with our variable declarations.The general way you would likely use a for loop is as follows:for (variable; test-case; modifier for variable){}For example, you may wish to declare a variable i as 0; and a MAX_ITERATIONS variable to determine how many times this loop should repeat:var i=0;var MAX_ITERATIONS=10;And then, use this variable to be tested against some case existing (has i reached MAX_ITERATIONS? - if not, increment i using i++);for (i=0; i < MAX_ITERATIONS; i++){ // some work to do}So lets run something like this on the appliance:fishy10:> script("." to run)> var i=0;("." to run)> var MAX_ITERATIONS=10;("." to run)> for (i=0; i < MAX_ITERATIONS; i++)("." to run)> {("." to run)>    printf("The number is %d\n",i);("." to run)> }("." to run)> .The number is 0The number is 1The number is 2The number is 3The number is 4The number is 5The number is 6The number is 7The number is 8The number is 9While LoopWhile loops again are very similar to other languages, we loop "while" a condition is met. For example:fishy10:> script("." to run)> var isTen=false;("." to run)> var counter=0;("." to run)> while(isTen==false)("." to run)> {("." to run)>    if (counter==10) ("." to run)>    { ("." to run)>            isTen=true;   ("." to run)>    } ("." to run)>    printf("Counter is %d\n",counter);("." to run)>    counter++;    ("." to run)> }("." to run)> printf("Loop has ended and Counter is %d\n",counter);("." to run)> .Counter is 0Counter is 1Counter is 2Counter is 3Counter is 4Counter is 5Counter is 6Counter is 7Counter is 8Counter is 9Counter is 10Loop has ended and Counter is 11So what do we notice here? Something has actually gone wrong - counter will technically be 11 once the loop completes... Why is this?Well, if we have a loop like this, where the 'while' condition that will end the loop may be set based on some other condition(s) existing (such as the counter has reached 10) - we must ensure that we  terminate this iteration of the loop when the condition is met - otherwise the rest of the code will be followed which may not be desirable. In other words, like in other languages, we will only ever check the loop condition once we are ready to perform the next iteration, so any other code after we set "isTen" to be true, will still be executed as we can see it was above.We can avoid this by adding a break into our loop once we know we have set the condition - this will stop the rest of the logic being processed in this iteration (and as such, counter will not be incremented). So lets try that again:fishy10:> script("." to run)> var isTen=false;("." to run)> var counter=0;("." to run)> while(isTen==false)("." to run)> {("." to run)>    if (counter==10) ("." to run)>    { ("." to run)>            isTen=true;   ("." to run)>            break;("." to run)>    } ("." to run)>    printf("Counter is %d\n",counter);("." to run)>    counter++;    ("." to run)> }("." to run)> printf("Loop has ended and Counter is %d\n", counter);("." to run)> .Counter is 0Counter is 1Counter is 2Counter is 3Counter is 4Counter is 5Counter is 6Counter is 7Counter is 8Counter is 9Loop has ended and Counter is 10Much better!Methods to Obtain and Manipulate DataGet MethodThe get method allows you to get simple properties from an object, for example a quota from a user. The syntax is fairly simple:var myVariable=get('property');An example of where you may wish to use this, is when you are getting a bunch of information about a user (such as quota information when in a shares context):var users=list();for(k=0; k < users.length; k++){     user=users[k];     run('select ' + user);     var username=get('name');     var usage=get('usage');     var quota=get('quota');...Which you can then use to your advantage - to print or manipulate infomation (you could change a user's information with a set method, based on the information returned from the get method). The set method is explained next.Set MethodThe set method can be used in a simple manner, similar to get. The syntax for set is:set('property','value'); // where value is a string, if it was a number, you don't need quotesFor example, we could set the quota on a share as follows (first observing the initial value):fishy10:shares default/test-geoff> script("." to run)> var currentQuota=get('quota');("." to run)> printf("Current Quota is: %s\n",currentQuota);("." to run)> set('quota','30G');("." to run)> run('commit');("." to run)> currentQuota=get('quota');("." to run)> printf("Current Quota is: %s\n",currentQuota);("." to run)> .Current Quota is: 0Current Quota is: 32212254720This shows us using both the get and set methods as can be used in scripts, of course when only setting an individual share, the above is overkill - it would be much easier to set it manually at the cli using 'set quota=3G' and then 'commit'.List MethodThe list method can be very powerful, especially in more complex scripts which iterate over large amounts of data and manipulate it if so desired. The general way you will use list is as follows:var myVar=list();Which will make "myVar" an array, containing all the objects in the relevant context (this could be a list of users, shares, projects, etc). You can then gather or manipulate data very easily.We could list all the shares and mountpoints in a given project for example:fishy10:shares another-project> script("." to run)> var shares=list();("." to run)> for (i=0; i < shares.length; i++)("." to run)> {("." to run)>    run('select ' + shares[i]);("." to run)>    var mountpoint=get('mountpoint');("." to run)>    printf("Share %s discovered, has mountpoint %s\n",shares[i],mountpoint);("." to run)>    run('done');("." to run)> }("." to run)> .Share and-another discovered, has mountpoint /export/another-project/and-anotherShare another-share discovered, has mountpoint /export/another-project/another-shareShare bob discovered, has mountpoint /export/another-projectShare more-shares-for-all discovered, has mountpoint /export/another-project/more-shares-for-allShare yep discovered, has mountpoint /export/another-project/yepWriting More Complex and Re-Usable CodeFunctionsThe best way to be able to write more complex code is to use functions to split up repeatable or reusable sections of your code. This also makes your more complex code easier to read and understand for other programmers.We write functions as follows:function functionName(variable1,variable2,...,variableN){}For example, we could have a function that takes a project name as input, and lists shares for that project (assuming we're already in the 'project' context - context is important!):function getShares(proj){        run('select ' + proj);        shares=list();        printf("Project: %s\n", proj);        for(j=0; j < shares.length; j++)        {                printf("Discovered share: %s\n",shares[i]);        }        run('done'); // exit selected project}Commenting your CodeLike any other language, a large part of making it readable and understandable is to comment it. You can use the same comment style as in C and Java amongst other languages.In other words, sngle line comments use://at the beginning of the comment.Multi line comments use:/*at the beginning, and:*/ at the end.For example, here we will use both:fishy10:> script("." to run)> // This is a test comment("." to run)> printf("doing some work...\n");("." to run)> /* This is a multi-line("." to run)> comment which I will span across("." to run)> three lines in total */("." to run)> printf("doing some more work...\n");("." to run)> .doing some work...doing some more work...Your comments do not have to be on their own, they can begin (particularly with single line comments this is handy) at the end of a statement, for examplevar projects=list(); // The variable projects is an array containing all projects on the system.Try and Catch StatementsYou may be used to using try and catch statements in other languages, and they can (and should) be utilised in your code to catch expected or unexpected error conditions, that you do NOT wish to stop your code from executing (if you do not catch these errors, your script will exit!):try{  // do some work}catch(err) // Catch any error that could occur{ // do something here under the error condition}For example, you may wish to only execute some code if a context can be reached. If you can't perform certain actions under certain circumstances, that may be perfectly acceptable.For example if you want to test a condition that only makes sense when looking at a SMB/NFS share, but does not make sense when you hit an iscsi or FC LUN, you don't want to stop all processing of other shares you may not have covered yet.For example we may wish to obtain quota information on all shares for all users on a share (but this makes no sense for a LUN):function getShareQuota(shar) // Get quota for each user of this share{        run('select ' + shar);        printf("  SHARE: %s\n", shar);        try        {                run('users');                printf("    %20s        %11s    %11s    %3s\n","Username","Usage(G)","Quota(G)","Quota(%)");                printf("    %20s        %11s    %11s    %4s\n","--------","--------","--------","----");                                users=list();                for(k=0; k < users.length; k++)                {                        user=users[k];                        getUserQuota(user);                }                run('done'); // exit user context        }        catch(err)        {                printf("    SKIPPING %s - This is NOT a NFS or CIFs share, not looking for users\n", shar);        }        run('done'); // done with this share}Running Scripts Remotely over SSHAs you have likely noticed, writing and running scripts for all but the simplest jobs directly on the appliance is not going to be a lot of fun.There's a couple of choices on what you can do here:Create scripts on a remote system and run them over sshCreate scripts, wrapping them in workflow code, so they are stored on the appliance and can be triggered under certain circumstances (like a threshold being reached)We'll cover the first one here, and then cover workflows later on (as these are for the most part just scripts with some wrapper information around them).Creating a SSH Public/Private SSH Key PairLog on to your handy Solaris box (You wouldn't be using any other OS, right? :P) and use ssh-keygen to create a pair of ssh keys. I'm storing this separate to my normal key:[geoff@lightning ~] ssh-keygen -t rsa -b 1024Generating public/private rsa key pair.Enter file in which to save the key (/export/home/geoff/.ssh/id_rsa): /export/home/geoff/.ssh/nas_key_rsaEnter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /export/home/geoff/.ssh/nas_key_rsa.Your public key has been saved in /export/home/geoff/.ssh/nas_key_rsa.pub.The key fingerprint is:7f:3d:53:f0:2a:5e:8b:2d:94:2a:55:77:66:5c:9b:14 geoff@lightningInstalling the Public Key on the ApplianceOn your Solaris host, observe the public key:[geoff@lightning ~] cat .ssh/nas_key_rsa.pub ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAIEAvYfK3RIaAYmMHBOvyhKM41NaSmcgUMC3igPN5gUKJQvSnYmjuWG6CBr1CkF5UcDji7v19jG3qAD5lAMFn+L0CxgRr8TNaAU+hA4/tpAGkjm+dKYSyJgEdMIURweyyfUFXoerweR8AWW5xlovGKEWZTAfvJX9Zqvh8oMQ5UJLUUc= geoff@lightningNow, copy and paste everything after "ssh-rsa" and before "user@hostname" - in this case, geoff@lightning. That is, this bit:AAAAB3NzaC1yc2EAAAABIwAAAIEAvYfK3RIaAYmMHBOvyhKM41NaSmcgUMC3igPN5gUKJQvSnYmjuWG6CBr1CkF5UcDji7v19jG3qAD5lAMFn+L0CxgRr8TNaAU+hA4/tpAGkjm+dKYSyJgEdMIURweyyfUFXoerweR8AWW5xlovGKEWZTAfvJX9Zqvh8oMQ5UJLUUc=Logon to your appliance and get into the preferences -> keys area for this user (root):[geoff@lightning ~] ssh [email protected]: Last login: Mon Dec  6 17:13:28 2010 from 192.168.0.2fishy10:> configuration usersfishy10:configuration users> select rootfishy10:configuration users root> preferences fishy10:configuration users root preferences> keysOR do it all in one hit:fishy10:> configuration users select root preferences keysNow, we create a new public key that will be accepted for this user and set the type to RSA:fishy10:configuration users root preferences keys> createfishy10:configuration users root preferences key (uncommitted)> set type=RSASet the key itself using the string copied previously (between ssh-rsa and user@host), and set the key ensuring you put double quotes around it (eg. set key="<key>"):fishy10:configuration users root preferences key (uncommitted)> set key="AAAAB3NzaC1yc2EAAAABIwAAAIEAvYfK3RIaAYmMHBOvyhKM41NaSmcgUMC3igPN5gUKJQvSnYmjuWG6CBr1CkF5UcDji7v19jG3qAD5lAMFn+L0CxgRr8TNaAU+hA4/tpAGkjm+dKYSyJgEdMIURweyyfUFXoerweR8AWW5xlovGKEWZTAfvJX9Zqvh8oMQ5UJLUUc="Now set the comment for this key (do not use spaces):fishy10:configuration users root preferences key (uncommitted)> set comment="LightningRSAKey" Commit the new key:fishy10:configuration users root preferences key (uncommitted)> commitVerify the key is there:fishy10:configuration users root preferences keys> lsKeys:NAME     MODIFIED              TYPE   COMMENT                                  key-000  2010-10-25 20:56:42   RSA    cycloneRSAKey                           key-001  2010-12-6 17:44:53    RSA    LightningRSAKey                         As you can see, we now have my new key, and a previous key I have created on this appliance.Running your Script over SSH from a Remote SystemHere I have created a basic test script, and saved it as test.ecma3:[geoff@lightning ~] cat test.ecma3 script// This is a test script, By Geoff Ongley 2010.printf("Testing script remotely over ssh\n");.Now, we can run this script remotely with our keyless login:[geoff@lightning ~] ssh -i .ssh/nas_key_rsa root@fishy10 < test.ecma3Pseudo-terminal will not be allocated because stdin is not a terminal.Testing script remotely over sshPutting it Together - An Example Completed Quota Gathering ScriptSo now we have a lot of the basics to creating a script, let us do something useful, like, find out how much every user is using, on every share on the system (you will recognise some of the code from my previous examples): script/************************************** Quick and Dirty Quota Check script ** Written By Geoff Ongley            ** 25 October 2010                    **************************************/function getUserQuota(usr){        run('select ' + usr);        var username=get('name');        var usage=get('usage');        var quota=get('quota');        var usage_g=usage / 1073741824; // convert bytes to gigabytes        var quota_g=quota / 1073741824; // as above        var quota_percent=0        if (quota > 0)        {                quota_percent=(usage / quota)*(100/1);        }        printf("    %20s        %8.2f           %8.2f           %d%%\n",username,usage_g,quota_g,quota_percent);        run('done'); // done with this selected user}function getShareQuota(shar){        //printf("DEBUG: selecting share %s\n", shar);        run('select ' + shar);        printf("  SHARE: %s\n", shar);        try        {                run('users');                printf("    %20s        %11s    %11s    %3s\n","Username","Usage(G)","Quota(G)","Quota(%)");                printf("    %20s        %11s    %11s    %4s\n","--------","--------","--------","--------");                                users=list();                for(k=0; k < users.length; k++)                {                        user=users[k];                        getUserQuota(user);                }                run('done'); // exit user context        }        catch(err)        {                printf("    SKIPPING %s - This is NOT a NFS or CIFs share, not looking for users\n", shar);        }        run('done'); // done with this share}function getShares(proj){        //printf("DEBUG: selecting project %s\n",proj);        run('select ' + proj);        shares=list();        printf("Project: %s\n", proj);        for(j=0; j < shares.length; j++)        {                share=shares[j];                getShareQuota(share);        }        run('done'); // exit selected project}function getProjects(){        run('cd /');        run('shares');        projects=list();                for (i=0; i < projects.length; i++)        {                var project=projects[i];                getShares(project);        }        run('done'); // exit context for all projects}getProjects();.Which can be run as follows, and will print information like this:[geoff@lightning ~/FISHWORKS_SCRIPTS] ssh -i ~/.ssh/nas_key_rsa root@fishy10 < get_quota_utilisation.ecma3Pseudo-terminal will not be allocated because stdin is not a terminal.Project: another-project  SHARE: and-another                Username           Usage(G)       Quota(G)    Quota(%)                --------           --------       --------    --------                  nobody            0.00            0.00        0%                 geoffro            0.05            0.00        0%                   Billy            0.10            0.00        0%                    root            0.00            0.00        0%            testing-user            0.05            0.00        0%  SHARE: another-share                Username           Usage(G)       Quota(G)    Quota(%)                --------           --------       --------    --------                    root            0.00            0.00        0%                  nobody            0.00            0.00        0%                 geoffro            0.05            0.49        9%            testing-user            0.05            0.02        249%                   Billy            0.10            0.29        33%  SHARE: bob                Username           Usage(G)       Quota(G)    Quota(%)                --------           --------       --------    --------                  nobody            0.00            0.00        0%                    root            0.00            0.00        0%  SHARE: more-shares-for-all                Username           Usage(G)       Quota(G)    Quota(%)                --------           --------       --------    --------                   Billy            0.10            0.00        0%            testing-user            0.05            0.00        0%                  nobody            0.00            0.00        0%                    root            0.00            0.00        0%                 geoffro            0.05            0.00        0%  SHARE: yep                Username           Usage(G)       Quota(G)    Quota(%)                --------           --------       --------    --------                    root            0.00            0.00        0%                  nobody            0.00            0.00        0%                   Billy            0.10            0.01        999%            testing-user            0.05            0.49        9%                 geoffro            0.05            0.00        0%Project: default  SHARE: Test-LUN    SKIPPING Test-LUN - This is NOT a NFS or CIFs share, not looking for users  SHARE: test-geoff                Username           Usage(G)       Quota(G)    Quota(%)                --------           --------       --------    --------                 geoffro            0.05            0.00        0%                    root            3.18           10.00        31%                    uucp            0.00            0.00        0%                  nobody            0.59            0.49        119%^CKilled by signal 2.Creating a WorkflowWorkflows are scripts that we store on the appliance, and can have the script execute either on request (even from the BUI), or on an event such as a threshold being met.Workflow BasicsA workflow allows you to create a simple process that can be executed either via the BUI interface interactively, or by an alert being raised (for some threshold being reached, for example).The basics parameters you will have to set for your "workflow object" (notice you're creating a variable, that embodies ECMAScript) are as follows (parameters is optional):name: A name for this workflowdescription: A Description for the workflowparameters: A set of input parameters (useful when you need user input to execute the workflow)execute: The code, the script itself to execute, which will be function (parameters)With parameters, you can specify things like this (slightly modified sample taken from the System Administration Guide):          ...parameters:        variableParam1:         {                             label: 'Name of Share',                             type: 'String'                  },                  variableParam2                  {                             label: 'Share Size',                             type: 'size'                  },execute: ....};  Note the commas separating the sections of name, parameters, execute, and so on. This is important!Also - there is plenty of properties you can set on the parameters for your workflow, these are described in the Sun ZFS Storage System Administration Guide.Creating a Basic Workflow from a Basic ScriptTo make a basic script into a basic workflow, you need to wrap the following around your script to create a 'workflow' object:var workflow = {name: 'Get User Quotas',description: 'Displays Quota Utilisation for each user on each share',execute: function() {// (basic script goes here, minus the "script" at the beginning, and "." at the end)}};However, it appears (at least in my experience to date) that the workflow object may only be happy with one function in the execute parameter - either that or I'm doing something wrong. As far as I can tell, after execute: you should only have a basic one function context like so:execute: function(){}To deal with this, and to give an example similar to our script earlier, I have created another simple quota check, to show the same basic functionality, but in a workflow format:var workflow = {name: 'Get User Quotas',description: 'Displays Quota Utilisation for each user on each share',execute: function () {        run('cd /');        run('shares');        projects=list();                for (i=0; i < projects.length; i++)        {                run('select ' + projects[i]);                shares=list('filesystem');                printf("Project: %s\n", projects[i]);                for(j=0; j < shares.length; j++)                {                        run('select ' +shares[j]);                        try                        {                                run('users');                                printf("  SHARE: %s\n", shares[j]);                                printf("    %20s        %11s    %11s    %3s\n","Username","Usage(G)","Quota(G)","Quota(%)");                                printf("    %20s        %11s    %11s    %4s\n","--------","--------","--------","-------");                                users=list();                                for(k=0; k < users.length; k++)                                {                                        run('select ' + users[k]);                                        username=get('name');                                        usage=get('usage');                                        quota=get('quota');                                        usage_g=usage / 1073741824; // convert bytes to gigabytes                                        quota_g=quota / 1073741824; // as above                                        quota_percent=0                                        if (quota > 0)                                        {                                                quota_percent=(usage / quota)*(100/1);                                        }                                        printf("    %20s        %8.2f   %8.2f   %d%%\n",username,usage_g,quota_g,quota_percent);                                        run('done');                                }                                run('done'); // exit user context                        }                        catch(err)                        {                        //      printf("    %s is a LUN, Not looking for users\n", shares[j]);                        }                        run('done'); // exit selected share context                }                run('done'); // exit project context        }        }};SummaryThe Sun ZFS Storage 7000 Appliance offers lots of different and interesting features to Sun/Oracle customers, including the world renowned Analytics. Hopefully the above will help you to think of new creative things you could be doing by taking advantage of one of the other neat features, the internal scripting engine!Some references are below to help you continue learning more, I'll update this post as I do the same! Enjoy...More information on ECMAScript 3A complete reference to ECMAScript 3 which will help you learn more of the details you may be interested in, can be found here:http://www.ecma-international.org/publications/files/ECMA-ST-ARCH/ECMA-262,%203rd%20edition,%20December%201999.pdfMore Information on Administering the Sun ZFS Storage 7000The Sun ZFS Storage 7000 System Administration guide can be a useful reference point, and can be found here:http://wikis.sun.com/download/attachments/186238602/2010_Q3_2_ADMIN.pdf

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  • SQL Server IO handling mechanism can be severely affected by high CPU usage

    - by sqlworkshops
    Are you using SSD or SAN / NAS based storage solution and sporadically observe SQL Server experiencing high IO wait times or from time to time your DAS / HDD becomes very slow according to SQL Server statistics? Read on… I need your help to up vote my connect item – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage. Instead of taking few seconds, queries could take minutes/hours to complete when CPU is busy.In SQL Server when a query / request needs to read data that is not in data cache or when the request has to write to disk, like transaction log records, the request / task will queue up the IO operation and wait for it to complete (task in suspended state, this wait time is the resource wait time). When the IO operation is complete, the task will be queued to run on the CPU. If the CPU is busy executing other tasks, this task will wait (task in runnable state) until other tasks in the queue either complete or get suspended due to waits or exhaust their quantum of 4ms (this is the signal wait time, which along with resource wait time will increase the overall wait time). When the CPU becomes free, the task will finally be run on the CPU (task in running state).The signal wait time can be up to 4ms per runnable task, this is by design. So if a CPU has 5 runnable tasks in the queue, then this query after the resource becomes available might wait up to a maximum of 5 X 4ms = 20ms in the runnable state (normally less as other tasks might not use the full quantum).In case the CPU usage is high, let’s say many CPU intensive queries are running on the instance, there is a possibility that the IO operations that are completed at the Hardware and Operating System level are not yet processed by SQL Server, keeping the task in the resource wait state for longer than necessary. In case of an SSD, the IO operation might even complete in less than a millisecond, but it might take SQL Server 100s of milliseconds, for instance, to process the completed IO operation. For example, let’s say you have a user inserting 500 rows in individual transactions. When the transaction log is on an SSD or battery backed up controller that has write cache enabled, all of these inserts will complete in 100 to 200ms. With a CPU intensive parallel query executing across all CPU cores, the same inserts might take minutes to complete. WRITELOG wait time will be very high in this case (both under sys.dm_io_virtual_file_stats and sys.dm_os_wait_stats). In addition you will notice a large number of WAITELOG waits since log records are written by LOG WRITER and hence very high signal_wait_time_ms leading to more query delays. However, Performance Monitor Counter, PhysicalDisk, Avg. Disk sec/Write will report very low latency times.Such delayed IO handling also occurs to read operations with artificially very high PAGEIOLATCH_SH wait time (with number of PAGEIOLATCH_SH waits remaining the same). This problem will manifest more and more as customers start using SSD based storage for SQL Server, since they drive the CPU usage to the limits with faster IOs. We have a few workarounds for specific scenarios, but we think Microsoft should resolve this issue at the product level. We have a connect item open – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage - (with example scripts) to reproduce this behavior, please up vote the item so the issue will be addressed by the SQL Server product team soon.Thanks for your help and best regards,Ramesh MeyyappanHome: www.sqlworkshops.comLinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • Advanced Record-Level Business Intelligence with Inner Queries

    - by gt0084e1
    While business intelligence is generally applied at an aggregate level to large data sets, it's often useful to provide a more streamlined insight into an individual records or to be able to sort and rank them. For instance, a salesperson looking at a specific customer could benefit from basic stats on that account. A marketer trying to define an ideal customer could pull the top entries and look for insights or patterns. Inner queries let you do sophisticated analysis without the overhead of traditional BI or OLAP technologies like Analysis Services. Example - Order History Constancy Let's assume that management has realized that the best thing for our business is to have customers ordering every month. We'll need to identify and rank customers based on how consistently they buy and when their last purchase was so sales & marketing can respond accordingly. Our current application may not be able to provide this and adding an OLAP server like SSAS may be overkill for our needs. Luckily, SQL Server provides the ability to do relatively sophisticated analytics via inner queries. Here's the kind of output we'd like to see. Creating the Queries Before you create a view, you need to create the SQL query that does the calculations. Here we are calculating the total number of orders as well as the number of months since the last order. These fields might be very useful to sort by but may not be available in the app. This approach provides a very streamlined and high performance method of delivering actionable information without radically changing the application. It's also works very well with self-service reporting tools like Izenda. SELECT CustomerID,CompanyName, ( SELECT COUNT(OrderID) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID ) As Orders, DATEDIFF(mm, ( SELECT Max(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) ,getdate() ) AS MonthsSinceLastOrder FROM Customers Creating Views To turn this or any query into a view, just put CREATE VIEW AS before it. If you want to change it use the statement ALTER VIEW AS. Creating Computed Columns If you'd prefer not to create a view, inner queries can also be applied by using computed columns. Place you SQL in the (Formula) field of the Computed Column Specification or check out this article here. Advanced Scoring and Ranking One of the best uses for this approach is to score leads based on multiple fields. For instance, you may be in a business where customers that don't order every month require more persistent follow up. You could devise a simple formula that shows the continuity of an account. If they ordered every month since their first order, they would be at 100 indicating that they have been ordering 100% of the time. Here's the query that would calculate that. It uses a few SQL tricks to make this happen. We are extracting the count of unique months and then dividing by the months since initial order. This query will give you the following information which can be used to help sales and marketing now where to focus. You could sort by this percentage to know where to start calling or to find patterns describing your best customers. Number of orders First Order Date Last Order Date Percentage of months order was placed since last order. SELECT CustomerID, (SELECT COUNT(OrderID) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) As Orders, (SELECT Max(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) AS LastOrder, (SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) AS FirstOrder, DATEDIFF(mm,(SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID),getdate()) AS MonthsSinceFirstOrder, 100*(SELECT COUNT(DISTINCT 100*DATEPART(yy,OrderDate) + DATEPART(mm,OrderDate)) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID) / DATEDIFF(mm,(SELECT Min(OrderDate) FROM Orders WHERE Orders.CustomerID = Customers.CustomerID),getdate()) As OrderPercent FROM Customers

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  • SQL Server Optimizer Malfunction?

    - by Tony Davis
    There was a sharp intake of breath from the audience when Adam Machanic declared the SQL Server optimizer to be essentially "stuck in 1997". It was during his fascinating "Query Tuning Mastery: Manhandling Parallelism" session at the recent PASS SQL Summit. Paraphrasing somewhat, Adam (blog | @AdamMachanic) offered a convincing argument that the optimizer often delivers flawed plans based on assumptions that are no longer valid with today’s hardware. In 1997, when Microsoft engineers re-designed the database engine for SQL Server 7.0, SQL Server got its initial implementation of a cost-based optimizer. Up to SQL Server 2000, the developer often had to deploy a steady stream of hints in SQL statements to combat the occasionally wilful plan choices made by the optimizer. However, with each successive release, the optimizer has evolved and improved in its decision-making. It is still prone to the occasional stumble when we tackle difficult problems, join large numbers of tables, perform complex aggregations, and so on, but for most of us, most of the time, the optimizer purrs along efficiently in the background. Adam, however, challenged further any assumption that the current optimizer is competent at providing the most efficient plans for our more complex analytical queries, and in particular of offering up correctly parallelized plans. He painted a picture of a present where complex analytical queries have become ever more prevalent; where disk IO is ever faster so that reads from disk come into buffer cache faster than ever; where the improving RAM-to-data ratio means that we have a better chance of finding our data in cache. Most importantly, we have more CPUs at our disposal than ever before. To get these queries to perform, we not only need to have the right indexes, but also to be able to split the data up into subsets and spread its processing evenly across all these available CPUs. Improvements such as support for ColumnStore indexes are taking things in the right direction, but, unfortunately, deficiencies in the current Optimizer mean that SQL Server is yet to be able to exploit properly all those extra CPUs. Adam’s contention was that the current optimizer uses essentially the same costing model for many of its core operations as it did back in the days of SQL Server 7, based on assumptions that are no longer valid. One example he gave was a "slow disk" bias that may have been valid back in 1997 but certainly is not on modern disk systems. Essentially, the optimizer assesses the relative cost of serial versus parallel plans based on the assumption that there is no IO cost benefit from parallelization, only CPU. It assumes that a single request will saturate the IO channel, and so a query would not run any faster if we parallelized IO because the disk system simply wouldn’t be able to handle the extra pressure. As such, the optimizer often decides that a serial plan is lower cost, often in cases where a parallel plan would improve performance dramatically. It was challenging and thought provoking stuff, as were his techniques for driving parallelism through query logic based on subsets of rows that define the "grain" of the query. I highly recommend you catch the session if you missed it. I’m interested to hear though, when and how often people feel the force of the optimizer’s shortcomings. Barring mistakes, such as stale statistics, how often do you feel the Optimizer fails to find the plan you think it should, and what are the most common causes? Is it fighting to induce it toward parallelism? Combating unexpected plans, arising from table partitioning? Something altogether more prosaic? Cheers, Tony.

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  • Consumer Oriented Search In Oracle Endeca Information Discovery - Part 2

    - by Bob Zurek
    As discussed in my last blog posting on this topic, Information Discovery, a core capability of the Oracle Endeca Information Discovery solution enables businesses to search, discover and navigate through a wide variety of big data including structured, unstructured and semi-structured data. With search as a core advanced capabilities of our product it is important to understand some of the key differences and capabilities in the underlying data store of Oracle Endeca Information Discovery and that is our Endeca Server. In the last post on this subject, we talked about Exploratory Search capabilities along with support for cascading relevance. Additional search capabilities in the Endeca Server, which differentiate from simple keyword based "search boxes" in other Information Discovery products also include: The Endeca Server Supports Set Search.  The Endeca Server is organized around set retrieval, which means that it looks at groups of results (all the documents that match a search), as well as the relationship of each individual result to the set. Other approaches only compute the relevance of a document by comparing the document to the search query – not by comparing the document to all the others. For example, a search for “U.S.” in another approach might match to the title of a document and get a high ranking. But what if it were a collection of government documents in which “U.S.” appeared in many titles, making that clue less meaningful? A set analysis would reveal this and be used to adjust relevance accordingly. The Endeca Server Supports Second-Order Relvance. Unlike simple search interfaces in traditional BI tools, which provide limited relevance ranking, such as a list of results based on key word matching, Endeca enables users to determine the most salient terms to divide up the result. Determining this second-order relevance is the key to providing effective guidance. Support for Queries and Filters. Search is the most common query type, but hardly complete, and users need to express a wide range of queries. Oracle Endeca Information Discovery also includes navigation, interactive visualizations, analytics, range filters, geospatial filters, and other query types that are more commonly associated with BI tools. Unlike other approaches, these queries operate across structured, semi-structured and unstructured content stored in the Endeca Server. Furthermore, this set is easily extensible because the core engine allows for pluggable features to be added. Like a search engine, queries are answered with a results list, ranked to put the most likely matches first. Unlike “black box” relevance solutions, which generalize one strategy for everyone, we believe that optimal relevance strategies vary across domains. Therefore, it provides line-of-business owners with a set of relevance modules that let them tune the best results based on their content. The Endeca Server query result sets are summarized, which gives users guidance on how to refine and explore further. Summaries include Guided Navigation® (a form of faceted search), maps, charts, graphs, tag clouds, concept clusters, and clarification dialogs. Users don’t explicitly ask for these summaries; Oracle Endeca Information Discovery analytic applications provide the right ones, based on configurable controls and rules. For example, the analytic application might guide a procurement agent filtering for in-stock parts by visualizing the results on a map and calculating their average fulfillment time. Furthermore, the user can interact with summaries and filters without resorting to writing complex SQL queries. The user can simply just click to add filters. Within Oracle Endeca Information Discovery, all parts of the summaries are clickable and searchable. We are living in a search driven society where business users really seem to enjoy entering information into a search box. We do this everyday as consumers and therefore, we have gotten used to looking for that box. However, the key to getting the right results is to guide that user in a way that provides additional Discovery, beyond what they may have anticipated. This is why these important and advanced features of search inside the Endeca Server have been so important. They have helped to guide our great customers to success. 

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  • Rethinking Oracle Optimizer Statistics for P6 Part 2

    - by Brian Diehl
    In the previous post (Part 1), I tried to draw some key insights about the relationship between P6 and Oracle Optimizer Statistics.  The first is that average cardinality has the greatest impact on query optimization and that the particular queries generated by P6 are more likely to use this average during calculations. The second is that these are statistics that are unlikely to change greatly over the life of the application. Ultimately, our goal is to get the best query optimization possible.  Or is it? Stability No application administrator wants to get the call at 9am that their application users cannot get there work done because everything is running slow. This is a possibility with a regularly scheduled nightly collection of statistics. It may not just be slow performance, but a complete loss of service because one or more queries are optimized poorly. Ideally, this should not be the case. The database optimizer should make better decisions with more up-to-date data. Better statistics may give incremental performance benefit. However, this benefit must be balanced against the potential cost of system down time.  It is stability that we ultimately desire and not absolute optimal performance. We do want the benefit from more accurate statistics and better query plans, but not at the risk of an unusable system. As a result, I've developed the following methodology around managing database statistics for the P6 database.  1. No Automatic Re-Gathering - The daily, weekly, or other interval of statistic gathering is unlikely to be beneficial. Quite the opposite. It is more likely to cause problems. 2. Smart Re-Gathering - The time to collect statistics is when things have changed significantly. For a new installation of P6, this is happening more often because the data is growing from a few rows to thousands and more. But for a mature system, the data is not changing significantly from week-to-week. There are times to collect statistics: New releases of the application Changes in the underlying hardware or software versions (ex. new Oracle RDBMS version) When additional user groups are added. The new groups may use the software in significantly different ways. After significant changes in the data. This may be monthly, quarterly or yearly.  3. Always Test - If you take away one thing from this post, it would be to always have a plan to test after changing statistics. In reality, statistics can be collected as often as you desire provided there are tests in place to verify that performance is the same or better. These might be automated tests or simply a manual script of application functions. 4. Have a Way Out - Never change the statistics without a way to return to the previous set. Think of the statistics as one part of the overall application code that also includes the source code--both application and RDBMS. It would be foolish to change to the new code without a way to get back to the previous version. In the final post, I will talk about the actual script I created for P6 PMDB and possible future direction for managing query performance. 

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  • sp_send_dbmail attach files stored as varbinary in database

    - by Mindstorm Interactive
    I have a two part question relating to sending query results as attachments using sp_send_dbmail. Problem 1: Only basic .txt files will open. Any other format like .pdf or .jpg are corrupted. Problem 2: When attempting to send multiple attachments, I receive one file with all file names glued together. I'm running SQL Server 2005 and I have a table storing uploaded documents: CREATE TABLE [dbo].[EmailAttachment]( [EmailAttachmentID] [int] IDENTITY(1,1) NOT NULL, [MassEmailID] [int] NULL, -- foreign key [FileData] [varbinary](max) NOT NULL, [FileName] [varchar](100) NOT NULL, [MimeType] [varchar](100) NOT NULL I also have a MassEmail table with standard email stuff. Here is the SQL Send Mail script. For brevity, I've excluded declare statements. while ( (select count(MassEmailID) from MassEmail where status = 20 )>0) begin select @MassEmailID = Min(MassEmailID) from MassEmail where status = 20 select @Subject = [Subject] from MassEmail where MassEmailID = @MassEmailID select @Body = Body from MassEmail where MassEmailID = @MassEmailID set @query = 'set nocount on; select cast(FileData as varchar(max)) from Mydatabase.dbo.EmailAttachment where MassEmailID = '+ CAST(@MassEmailID as varchar(100)) select @filename = '' select @filename = COALESCE(@filename+ ',', '') +FileName from EmailAttachment where MassEmailID = @MassEmailID exec msdb.dbo.sp_send_dbmail @profile_name = 'MASS_EMAIL', @recipients = '[email protected]', @subject = @Subject, @body =@Body, @body_format ='HTML', @query = @query, @query_attachment_filename = @filename, @attach_query_result_as_file = 1, @query_result_separator = '; ', @query_no_truncate = 1, @query_result_header = 0; update MassEmailset status= 30,SendDate = GetDate() where MassEmailID = @MassEmailID end I am able to successfully read files from the database so I know the binary data is not corrupted. .txt files only read when I cast FilaData to varchar. But clearly original headers are lost. It's also worth noting that attachment file sizes are different than the original files. That is most likely due to improper encoding as well. So I'm hoping there's a way to create file headers using the stored mimetype, or some way to include file headers in the binary data? I'm also not confident in the values of the last few parameters, and I know coalesce is not quite right, because it prepends the first file name with a comma. But good documentation is nearly impossible to find. Please help!

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  • How to get foreignSecurityPrincipal from group. using DirectorySearcher

    - by kain64b
    What I tested with 0 results: string queryForeignSecurityPrincipal = "(&(objectClass=foreignSecurityPrincipal)(memberof:1.2.840.113556.1.4.1941:={0})(uSNChanged>={1})(uSNChanged<={2}))"; sidsForeign = GetUsersSidsByQuery(groupName, string.Format(queryForeignSecurityPrincipal, groupPrincipal.DistinguishedName, 0, 0)); public IList<SecurityIdentifier> GetUsersSidsByQuery(string groupName, string query) { List<SecurityIdentifier> results = new List<SecurityIdentifier>(); try{ using (var context = new PrincipalContext(ContextType.Domain, DomainName, User, Password)) { using (var groupPrincipal = GroupPrincipal.FindByIdentity(context, IdentityType.SamAccountName, groupName)) { DirectoryEntry directoryEntry = (DirectoryEntry)groupPrincipal.GetUnderlyingObject(); do { directoryEntry = directoryEntry.Parent; } while (directoryEntry.SchemaClassName != "domainDNS"); DirectorySearcher searcher = new DirectorySearcher(directoryEntry){ SearchScope=System.DirectoryServices.SearchScope.Subtree, Filter=query, PageSize=10000, SizeLimit = 15000 }; searcher.PropertiesToLoad.Add("objectSid"); searcher.PropertiesToLoad.Add("distinguishedname"); using (SearchResultCollection result = searcher.FindAll()) { foreach (var obj in result) { if (obj != null) { var valueProp = ((SearchResult)obj).Properties["objectSid"]; foreach (var atributeValue in valueProp) { SecurityIdentifier value = (new SecurityIdentifier((byte[])atributeValue, 0)); results.Add(value); } } } } } } } catch (Exception e) { WriteSystemError(e); } return results; } I tested it on usual users with query: "(&(objectClass=user)(memberof:1.2.840.113556.1.4.1941:={0})(uSNChanged>={1})(uSNChanged<={2}))" and it is work, I test with objectClass=* ... nothing help... But If I call groupPrincipal.GetMembers,I get all foreing user account from group. BUT groupPrincipal.GetMembers HAS MEMORY LEAK. Any Idea how to fix my query????

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  • Oauth for Google API example using Python / Django

    - by DrDee
    Hi, I am trying to get Oauth working with the Google API using Python. I have tried different oauth libraries such as oauth, oauth2 and djanog-oauth but I cannot get it to work (including the provided examples). For debugging Oauth I use Google's Oauth Playground and I have studied the API and the Oauth documentation With some libraries I am struggling with getting a right signature, with other libraries I am struggling with converting the request token to an authorized token. What would really help me if someone can show me a working example for the Google API using one of the above-mentioned libraries. EDIT: My initial question did not lead to any answers so I have added my code. There are two possible causes of this code not working: 1) Google does not authorize my request token, but not quite sure how to detect this 2) THe signature for the access token is invalid but then I would like to know which oauth parameters Google is expecting as I am able to generate a proper signature in the first phase. This is written using oauth2.py and for Django hence the HttpResponseRedirect. REQUEST_TOKEN_URL = 'https://www.google.com/accounts/OAuthGetRequestToken' AUTHORIZATION_URL = 'https://www.google.com/accounts/OAuthAuthorizeToken' ACCESS_TOKEN_URL = 'https://www.google.com/accounts/OAuthGetAccessToken' CALLBACK = 'http://localhost:8000/mappr/mappr/oauth/' #will become real server when deployed OAUTH_CONSUMER_KEY = 'anonymous' OAUTH_CONSUMER_SECRET = 'anonymous' signature_method = oauth.SignatureMethod_HMAC_SHA1() consumer = oauth.Consumer(key=OAUTH_CONSUMER_KEY, secret=OAUTH_CONSUMER_SECRET) client = oauth.Client(consumer) request_token = oauth.Token('','') #hackish way to be able to access the token in different functions, I know this is bad, but I just want it to get working in the first place :) def authorize(request): if request.GET == {}: tokens = OAuthGetRequestToken() return HttpResponseRedirect(AUTHORIZATION_URL + '?' + tokens) elif request.GET['oauth_verifier'] != '': oauth_token = request.GET['oauth_token'] oauth_verifier = request.GET['oauth_verifier'] OAuthAuthorizeToken(oauth_token) OAuthGetAccessToken(oauth_token, oauth_verifier) #I need to add a Django return object but I am still debugging other phases. def OAuthGetRequestToken(): print '*** OUTPUT OAuthGetRequestToken ***' params = { 'oauth_consumer_key': OAUTH_CONSUMER_KEY, 'oauth_nonce': oauth.generate_nonce(), 'oauth_signature_method': 'HMAC-SHA1', 'oauth_timestamp': int(time.time()), #The timestamp should be expressed in number of seconds after January 1, 1970 00:00:00 GMT. 'scope': 'https://www.google.com/analytics/feeds/', 'oauth_callback': CALLBACK, 'oauth_version': '1.0' } # Sign the request. req = oauth.Request(method="GET", url=REQUEST_TOKEN_URL, parameters=params) req.sign_request(signature_method, consumer, None) tokens =client.request(req.to_url())[1] params = ConvertURLParamstoDictionary(tokens) request_token.key = params['oauth_token'] request_token.secret = params['oauth_token_secret'] return tokens def OAuthAuthorizeToken(oauth_token): print '*** OUTPUT OAuthAuthorizeToken ***' params ={ 'oauth_token' :oauth_token, 'hd': 'default' } req = oauth.Request(method="GET", url=AUTHORIZATION_URL, parameters=params) req.sign_request(signature_method, consumer, request_token) response =client.request(req.to_url()) print response #for debugging purposes def OAuthGetAccessToken(oauth_token, oauth_verifier): print '*** OUTPUT OAuthGetAccessToken ***' params = { 'oauth_consumer_key': OAUTH_CONSUMER_KEY, 'oauth_token': oauth_token, 'oauth_verifier': oauth_verifier, 'oauth_token_secret': request_token.secret, 'oauth_signature_method': 'HMAC-SHA1', 'oauth_timestamp': int(time.time()), 'oauth_nonce': oauth.generate_nonce(), 'oauth_version': '1.0', } req = oauth.Request(method="GET", url=ACCESS_TOKEN_URL, parameters=params) req.sign_request(signature_method, consumer, request_token) response =client.request(req.to_url()) print response return req def ConvertURLParamstoDictionary(tokens): params = {} tokens = tokens.split('&') for token in tokens: token = token.split('=') params[token[0]] = token[1] return params

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  • DataSet does not support System.Nullable<>

    - by a_m0d
    I'm trying to set the DataSource for a Crystal Reports report, but I've run into a few problems. I've been following a guide written by Mohammad Mahdi Ramezanpour, and have managed to get all the way to the last part now (setting the DataSource). However, I have a problem that Mohammad does not seem to have - when I pass the results of my query to the report, I end up with the following exception: DataSet does not support System.Nullable< This is the query I am using: public IQueryable<Part> GetPartsToDisplayOnStockReport() { return from part in db.Parts where part.showOnStockReport == true select part; } and the way I pass it to the Report: public ActionResult ViewStockReport() { StockReport stockReport = new StockReport(); var parts = ordersRepository.GetPartsToDisplayOnStockReport().ToList(); stockReport.SetDataSource(parts); Stream stream = stockReport.ExportToStream(CrystalDecisions.Shared.ExportFormatType.PortableDocFormat); return File(stream, "application/pdf"); } I have also tried changing my query to this code, in the hope that it would fix my problem: return (from part in db.Parts where part.showOnStockReport == true select part) ?? db.Parts.DefaultIfEmpty(); but it still complained about the same problem. How can I pass the results of this query to my report, to use it as a data source? Also, if each of my Parts object contains other objects / collections of other objects, will I be able to reference them in the report with a datasource like this?

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  • HTTP client - HTTP 405 error "Method not allowed". I send a HTTP Post but for some reason HTTP Get i

    - by Shino88
    Hey I am using apache library. I have created a class which sends a post request to a servlet. I have set up the parameters for the client and i have created a HTTP post object to be sent but for some reason when i excute the request i get a reposnse that says the get method is not supported(which is true cause i have only made a dopost method in my servlet). It seems that a get request is being sent but i dont know why. The post method worked before but i started gettng http error 417 "Expectation Failed" which i fixed by adding paramenters. below is my class with the post method. P.s i am developing for android. public class HTTPrequestHelper { private final ResponseHandler<String> responseHandler; private static final String CLASSTAG = HTTPrequestHelper.class.getSimpleName(); private static final DefaultHttpClient client; static{ HttpParams params = new BasicHttpParams(); params.setParameter(CoreProtocolPNames.PROTOCOL_VERSION, HttpVersion.HTTP_1_1); params.setParameter(CoreProtocolPNames.HTTP_CONTENT_CHARSET, HTTP.UTF_8); ///params.setParameter(CoreProtocolPNames.USER_AGENT, "Android-x"); params.setParameter(CoreConnectionPNames.CONNECTION_TIMEOUT, 15000); params.setParameter(CoreConnectionPNames.STALE_CONNECTION_CHECK, false); SchemeRegistry schemeRegistry = new SchemeRegistry(); schemeRegistry.register( new Scheme("http", PlainSocketFactory.getSocketFactory(), 80)); schemeRegistry.register( new Scheme("https", SSLSocketFactory.getSocketFactory(), 443)); ThreadSafeClientConnManager cm = new ThreadSafeClientConnManager(params, schemeRegistry); client = new DefaultHttpClient(cm,params); } public HTTPrequestHelper(ResponseHandler<String> responseHandler) { this.responseHandler = responseHandler; } public void performrequest(String url, String para) { HttpPost post = new HttpPost(url); StringEntity parameters; try { parameters = new StringEntity(para); post.setEntity(parameters); } catch (UnsupportedEncodingException e) { // TODO Auto-generated catch block e.printStackTrace(); } BasicHttpResponse errorResponse = new BasicHttpResponse( new ProtocolVersion("HTTP_ERROR", 1, 1), 500, "ERROR"); try { client.execute(post, this.responseHandler); } catch (Exception e) { errorResponse.setReasonPhrase(e.getMessage()); try { this.responseHandler.handleResponse(errorResponse); } catch (Exception ex) { Log.e( "ouch", "!!! IOException " + ex.getMessage() ); } } } I tried added the allow header to the request but that did not work as well but im not sure if i was doing right. below is the code. client.addRequestInterceptor(new HttpRequestInterceptor() { @Override public void process(HttpRequest request, HttpContext context) throws HttpException, IOException { //request.addHeader("Allow", "POST"); } });

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  • IQueryable<> from stored procedure (entity framework)

    - by mmcteam
    I want to get IQueryable<> result when executing stored procedure. Here is peace of code that works fine: IQueryable<SomeEntitiy> someEntities; var globbalyFilteredSomeEntities = from se in m_Entities.SomeEntitiy where se.GlobalFilter == 1234 select se; I can use this to apply global filter, and later use result in such way result = globbalyFilteredSomeEntities .OrderByDescending(se => se.CreationDate) .Skip(500) .Take(10); What I want to do - use some stored procedures in global filter. I tried: Add stored procedure to m_Entities, but it returns IEnumerable<> and executes sp immediately: var globbalyFilteredSomeEntities = from se in m_Entities.SomeEntitiyStoredProcedure(1234); Materialize query using EFExtensions library, but it is IEnumerable<>. If I use AsQueryable() and OrderBy(), Skip(), Take() and after that ToList() to execute that query - I get exception that DataReader is open and I need to close it first(can't paste error - it is in russian). var globbalyFilteredSomeEntities = m_Entities.CreateStoreCommand("exec SomeEntitiyStoredProcedure(1234)") .Materialize<SomeEntitiy>(); //.AsQueryable() //.OrderByDescending(se => se.CreationDate) //.Skip(500) //.Take(10) //.ToList(); Also just skipping .AsQueryable() is not helpful - same exception. When I put ToList() query executes, but it is too expensive to execute query without Skip(), Take().

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  • c# WebRequest to connect to wikipedia API

    - by NickJ
    Hey, This may be a pathetically simple problem but I cannot seem to format the post webrequest/response to get data from the wikipedia api. I have posted my code below if anyone can help me see my problem. string pgTitle = txtPageTitle.Text; Uri address = new Uri("http://en.wikipedia.org/w/api.php"); HttpWebRequest request = WebRequest.Create(address) as HttpWebRequest; request.Method = "POST"; request.ContentType = "application/x-www-form-urlencoded"; string action = "query"; string query = pgTitle; StringBuilder data = new StringBuilder(); data.Append("action=" + HttpUtility.UrlEncode(action)); data.Append("&query=" + HttpUtility.UrlEncode(query)); byte[] byteData = UTF8Encoding.UTF8.GetBytes(data.ToString()); request.ContentLength = byteData.Length; using (Stream postStream = request.GetRequestStream()) { postStream.Write(byteData, 0, byteData.Length); } using (HttpWebResponse response = request.GetResponse() as HttpWebResponse) { // Get the response stream StreamReader reader = new StreamReader(response.GetResponseStream()); divWikiData.InnerText = reader.ReadToEnd(); }

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  • LINQ to Entities exceptions (ElementAtOrDefault and CompareObjectEqual)

    - by OffApps Cory
    I am working on a shipping platform which will eventually automate shipping through several major carriers. I have a ShipmentsView Usercontrol which displayes a list of Shipments (returned by EntityFramework), and when a user clicks on a shipment item, it spawns a ShipmentEditView and passes the ShipmentID (RecordKey) to that view. I initially wrestled with trying to get the context from the parent (ShipmentsView) and finally gave up resolving to get to it later. I wanted to do this to keep a single instance of the context. anyhow, I now create a new instance of the context in my ShipmentEditViewModel, and query against it for the Shipment record. I know I could just pass the record, but I wanted to use the Ocean Framework that Karl Shifflett wrote and don't want to muck about writing new transition methods. So anyhow, I query and when stepping through, I can see that it returns a record, as soon as execution reached the point where it assigned the query result to the e.Result property, it throws up the following exception depending on the query I used. LINQToEntities Dim RecordID As Decimal = CDec(e.Argument) Dim myResult = From ship In _Context.Shipment _ Where ship.ShipID = e.Argument _ Select ship Select Case myResult.Count Case 0 e.Result = New Shipment Case 1 e.Result = myResult(0) Case Else e.Result = Nothing End Select "LINQ to Entities does not recognize the method 'System.Object.CompareObjectEqual(System.Object, System.Object, Boolean)' method, and this method cannot be translated into a store expression. LINQToEntities via Method calls Dim RecordID As Decimal = CDec(e.Argument) Dim myResult = _Context.Shipment.Where(Function(s) s.ShipID = RecordID) Select Case myResult.Count Case 0 e.Result = New Shipment Case 1 e.Result = myResult(0) Case Else e.Result = Nothing End Select LINQ to Entities does not recognize the method 'SnazzyShippingDAL.Shipment ElementAtOrDefault[Shipment] (System.Linq.IQueryable`1[SnazzyShippingDAL.Shipment], Int32)' method, and this method cannot be translated into a store expression. I have been trying to get this thing to display a record for like three days. i am seriously thinking about going back and re=-engineering it without the MVVM pattern (which I realize I am only starting to learn and understand) if only to make the &$^%ed thing work. Any help will be muchly appreciated. Cory

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  • Ext.data.Store, Javascript Arrays and Ext.grid.ColumnModel

    - by Michael Wales
    I am using Ext.data.Store to call a PHP script which returns a JSON response with some metadata about fields that will be used in a query (unique name, table, field, and user-friendly title). I then loop through each of the Ext.data.Record objects, placing the data I need into an array (this_column), push that array onto the end of another array (columns), and eventually pass this to an Ext.grid.ColumnModel object. The problem I am having is - no matter which query I am testing against (I have a number of them, varying in size and complexity), the columns array always works as expected up to columns[15]. At columns[16], all indexes from that point and previous are filled with the value of columns[15]. This behavior continues until the loop reaches the end of the Ext.data.Store object, when the entire arrays consists of the same value. Here's some code: columns = []; this_column = []; var MetaData = Ext.data.Record.create([ {name: 'id'}, {name: 'table'}, {name: 'field'}, {name: 'title'} ]); // Query the server for metadata for the query we're about to run metaDataStore = new Ext.data.Store({ autoLoad: true, reader: new Ext.data.JsonReader({ totalProperty: 'results', root: 'fields', id: 'id' }, MetaData), proxy: new Ext.data.HttpProxy({ url: 'index.php/' + type + '/' + slug }), listeners: { 'load': function () { metaDataStore.each(function(r) { this_column['id'] = r.data['id']; this_column['header'] = r.data['title']; this_column['sortable'] = true; this_column['dataIndex'] = r.data['table'] + '.' + r.data['field']; // This display valid information, through the entire process console.info(this_column['id'] + ' : ' + this_column['header'] + ' : ' + this_column['sortable'] + ' : ' + this_column['dataIndex']); columns.push(this_column); }); // This goes nuts at columns[15] console.info(columns); gridColModel = new Ext.grid.ColumnModel({ columns: columns });

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  • Microsoft ODBC driver for Oracle Syntax error or access violation (-2147217900)

    - by Jan
    I have a large VB program that connects to Oracle database. strCn = "Driver={Microsoft ODBC for Oracle};" & _ "SERVER=PSPROD;" Set Cn = New ADODB.Connection Cn.ConnectionString = strCn Cn.CursorLocation = adUseNone Cn.Open There are many users of my program so I have a table that contains each user's login name and their access rights to the various tables. I create a recordset of all users when the program is started and then select USERNAME and GRANTED_ROLE from the record set where USERNAME and PASSWORD are found. I use a "Set role 'GRANTED_ROLE' identified by 'password'" statment and Cn.Execute statement to set up the user's access rights. This is all done in a Module. On a form, I want to call a Stored Procedure that will SELECT, INSERT and UPDATE information into another schema's tables. I am able to call and run the stored procedure when I create a new connection to the database with this code: Dim cmd5040 As ADODB.Command Dim conn5040 As ADODB.Connection Dim param5040 As ADODB.Parameter Set conn5040 = New ADODB.Connection conn5040 = "Driver={Microsoft ODBC for Oracle};" & _ "SERVER=PSPROD; UID=XXXXXXX; PWD=XXXXXXXX" conn5040.Open Set cmd5040 = New ADODB.Command With cmd5040 .ActiveConnection = conn5040 .CommandType = adCmdStoredProc .CommandText = "S4115040_IMPORT_NEWBIDITEMSPES.S4115040_CheckTime" .Parameters.Append .CreateParameter(, adInteger, adParamInputOutput, 5) .Parameters.Append .CreateParameter(, adVarChar, adParamInputOutput, 400) End With cmd5040(0) = 0 cmd5040(1) = "" cmd5040.CommandTimeout = 300 cmd5040.Execute conn5040.Close However, I get the error message "-2147217900 [Microsoft][ODCB driver for Oracle]Syntax error or access violation" when I attempt to use the same connection ('Cn') when the program first started. My code is: Dim cmd5040 As ADODB.Command Dim param5040 As ADODB.Parameter Set cmd5040 = New ADODB.Command With cmd5040 .ActiveConnection = Cn .CommandType = adCmdStoredProc .CommandText = "S4115040_IMPORT_NEWBIDITEMSPES.S4115040_CheckTime" .Parameters.Append .CreateParameter(, adInteger, adParamInputOutput, 5) .Parameters.Append .CreateParameter(, adVarChar, adParamInputOutput, 400) End With cmd5040(0) = 0 cmd5040(1) = "" cmd5040.Execute I have worked with my DBA. She has given me direct grants and direct execute privliges and I am still get the error message. What am I doing wrong? Should I be able to use the original connection to run a stored procedure? Or must I create a second connection?

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  • LINQ to Entities pulling back entire table

    - by Focus
    In my application I'm pulling back a user's "feed". This contains all of that user's activities, events, friend requests from other users, etc. When I pull back the feed I'm calling various functions to filter the request along the way. var userFeed = GetFeed(db); // Query to pull back all data userFeed = FilterByUser(userFeed, user, db); // Filter for the user userFeed = SortFeed(userFeed, page, sortBy, typeName); // Sort it The data that is returned is exactly what I need, however when I look at a SQL Profile Trace I can see that the query that is getting this data does not filter it at the database level and instead is selecting ALL data in the table(s). This query does not execute until I iterate through the results on my view. All of these functions return an IEnumerable object. I was under the impression that LINQ would take all of my filters and form one query to pull back the data I want instead of pulling back all the data and then filtering it on the server. What am I doing wrong or what don't I understand about the way LINQ evaluates queries?

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  • Why am i getting "error:1409F07F:SSL routines:SSL3_WRITE_PENDING: bad write retry" error while attem

    - by Amit Ben Shahar
    I came across this error, and had to look in a lot of placed until i was able to find the reason for this error and thought this might save someone else the hassle. the reason is pretty simple: when SSL_Write returns with SSL_ERROR_WANT_WRITE or SSL_ERROR_WANT_READ, you have to repeat the call to SSL_write with the same parameters again, after the condition is satisfied. Calling it with different parameters, will yield the 1409F07F bar write retry error. Hope this saved someone's important time :P Amit.

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  • Problem with Remember Me Service in Spring Security

    - by Gearóid
    Hi, I'm trying to implement a "remember me" functionality in my website using Spring. The cookie and entry in the persistent_logins table are getting created correctly. Additionally, I can see that the correct user is being restored as the username is displayed at the top of the page. However, once I try to access any information for this user when they return after they were "remembered", I get a NullPointerException. It looks as though the user isn't being set in the session again. My applicationContext-security.xml contains the following: <remember-me data-source-ref="dataSource" user-service-ref="userService"/> ... <authentication-provider user-service-ref="userService" /> <jdbc-user-service id="userService" data-source-ref="dataSource" role-prefix="ROLE_" users-by-username-query="select email as username, password, 1 as ENABLED from user where email=?" authorities-by-username-query="select user.id as id, upper(role.name) as authority from user, role, users_roles where users_roles.user_fk=id and users_roles.role_fk=role.name and user.email=?"/> I thought it may have had something to do with users-by-username query but surely login wouldn't work correctly if this query was incorrect? Any help on this would be greatly appreciated. Thanks, gearoid.

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  • Concatenating Date Values - SQL Injection

    - by Kyle Rozendo
    Hi All, We currently receive parameters of values as VARCHAR's, and then build a date from them. I am wanting to confirm that the method would stop the possibility of SQL injection from this statement: select CONVERT(datetime, '2010' + '-' + '02' + '-' + '21' + ' ' + '15:11:38.990') Another note is that the actual parameters being passed through to the stored proc are length bound at (4, 2, 2, 10, 12) in correspondence to the above. Thanks a ton, Kyle

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  • ASP.Net Entity Framework, objectcontext error

    - by Chris Klepeis
    I'm building a 4 layered ASP.Net web application. The layers are: Data Layer Entity Layer Business Layer UI Layer The entity layer has my data model classes and is built from my entity data model (edmx file) in the datalayer using T4 templates (POCO). The entity layer is referenced in all other layers. My data layer has a class called SourceKeyRepository which has a function like so: public IEnumerable<SourceKey> Get(SourceKey sk) { using (dmc = new DataModelContainer()) { var query = from SourceKey in dmc.SourceKeys select SourceKey; if (sk.sourceKey1 != null) { query = from SourceKey in query where SourceKey.sourceKey1 == sk.sourceKey1 select SourceKey; } return query; } } Lazy loading is disabled since I do not want my queries to run in other layers of this application. I'm receiving the following error when attempting to access the information in the UI layer: The ObjectContext instance has been disposed and can no longer be used for operations that require a connection. I'm sure this is because my DataModelContainer "dmc" was disposed. How can I return this IEnumerable object from my data layer so that it does not rely on the ObjectContext, but solely on the DataModel? Is there a way to limit lazy loading to only occur in the data layer?

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  • Why is OracleDataAdapter.Fill() Very Slow?

    - by John Gietzen
    I am using a pretty complex query to retrieve some data out of one of our billing databases. I'm running in to an issue where the query seems to complete fairly quickly when executed with SQL Developer, but does not seem to ever finish when using the OracleDataAdapter.Fill() method. I'm only trying to read about 1000 rows, and the query completes in SQL Developer in about 20 seconds. What could be causing such drastic differences in performance? I have tons of other queries that run quickly using the same function. Here is the code I'm using to execute the query: using Oracle.DataAccess.Client; ... public DataTable ExecuteExternalQuery(string connectionString, string providerName, string queryText) { DbConnection connection = null; DbCommand selectCommand = null; DbDataAdapter adapter = null; switch (providerName) { case "System.Data.OracleClient": case "Oracle.DataAccess.Client": connection = new OracleConnection(connectionString); selectCommand = connection.CreateCommand(); adapter = new OracleDataAdapter((OracleCommand)selectCommand); break; ... } DataTable table = null; try { connection.Open(); selectCommand.CommandText = queryText; selectCommand.CommandTimeout = 300000; selectCommand.CommandType = CommandType.Text; table = new DataTable("result"); table.Locale = CultureInfo.CurrentCulture; adapter.Fill(table); } finally { adapter.Dispose(); if (connection.State != ConnectionState.Closed) { connection.Close(); } } return table; } And here is the general outline of the SQL I'm using: with trouble_calls as ( select work_order_number, account_number, date_entered from work_orders where date_entered >= sysdate - (15 + 31) -- Use the index to limit the number of rows scanned and wo_status not in ('Cancelled') and wo_type = 'Trouble Call' ) select account_number, work_order_number, date_entered from trouble_calls wo where wo.icoms_date >= sysdate - 15 and ( select count(*) from trouble_calls repeat where wo.account_number = repeat.account_number and wo.work_order_number <> repeat.work_order_number and wo.date_entered - repeat.date_entered between 0 and 30 ) >= 1

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  • Improve XPath efficiency for repeated, parameterized queries

    - by Chris Allan
    Hi, I am repeatedly performing the following XPath query (though parameterized by 'keywordText') around 40,000 times: String query = SystemGlobal.YAHOO_KEYWORDSSUBNODE + "/" + SystemGlobal.YAHOO_KEYWORDNODE + "[" + SystemGlobal.YAHOO_ATTRKEYPHRASE + "='" + keywordText + "']"; CachedXPathAPI cachedXPathAPI = new CachedXPathAPI(); NodeIterator nl = cachedXPathAPI.selectNodeIterator(doc.getElementsByTagName(SystemGlobal.YAHOO_KEYWORDSROOT).item(0), query); Node n; if ((n = nl.nextNode()) != null) { keyword.setKeywordId(Long.parseLong(cachedXPathAPI.selectSingleNode(n, SystemGlobal.YAHOO_ATTRKEYID).getTextContent())); keyword.setKeyPhrase(cachedXPathAPI.selectSingleNode(n, SystemGlobal.YAHOO_ATTRKEYPHRASE).getTextContent()); keyword.setStatus(mapStatus(cachedXPathAPI.selectSingleNode(n, SystemGlobal.YAHOO_ATTRSTATUS).getTextContent())); keyword.setCampaignId(Long.parseLong(cachedXPathAPI.selectSingleNode(n, "../../" + SystemGlobal.YAHOO_ATTRCAMPAIGNID).getTextContent())); keyword.setAdGroupId(Long.parseLong(cachedXPathAPI.selectSingleNode(n, "../" + SystemGlobal.YAHOO_ATTRADGROUPID).getTextContent())); On the first run of the script, all 40,000 runs of this piece of code will have nl.nextNode() == null, and everything runs quite quickly. However, on the following runs, when nl.nextNode() != null, then things slow down a lot - this takes around an additional 40min to run (whereas the first run takes maybe 1 minute). Oh, and the doc is constructed like so: InputSource in = new InputSource(new FileInputStream(filename)); DocumentBuilderFactory dfactory = DocumentBuilderFactory.newInstance(); dfactory.setNamespaceAware(true); doc = dfactory.newDocumentBuilder().parse(in); I tried including the following lines reportEvaluator = new XPathEvaluatorImpl(reportDoc); reportResolver = reportEvaluator.createNSResolver(reportDoc); and rather creating a NodeIterator, instead creating an XPathResult: XPathResult result = (XPathResult)reportEvaluator.evaluate(query, doc.getElementsByTagName(SystemGlobal.YAHOO_KEYWORDSROOT).item(0), reportResolver, XPathResult.UNORDERED_NODE_ITERATOR_TYPE, null); however this ran even slower Is there a way in which I can speed up the running of this script? I have seen references to precompiled queries, though I haven't seen many actual details. Also, as seen in the code, I am using CachedXPathAPI, though the benefit for this case is not so great. Any help is much appreciated! Chris Allan

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