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  • Optimize an SQL statement

    - by kovshenin
    Hey, I'm running WordPress, the database diagram could be found here: http://codex.wordpress.org/Database_Description After doing tonnes of filters and applying some hooks to the core, I'm left with the following query: SELECT SQL_CALC_FOUND_ROWS wp_posts.* FROM wp_posts JOIN wp_postmeta ppmeta_beds ON (ppmeta_beds.post_id = wp_posts.ID AND ppmeta_beds.meta_key = 'pp-general-beds' AND ppmeta_beds.meta_value >= 2) JOIN wp_postmeta ppmeta_baths ON (ppmeta_baths.post_id = wp_posts.ID AND ppmeta_baths.meta_key = 'pp-general-baths' AND ppmeta_baths.meta_value >= 3) JOIN wp_postmeta ppmeta_furnished ON (ppmeta_furnished.post_id = wp_posts.ID AND ppmeta_furnished.meta_key = 'pp-general-furnished' AND ppmeta_furnished.meta_value = 'yes') JOIN wp_postmeta ppmeta_pool ON (ppmeta_pool.post_id = wp_posts.ID AND ppmeta_pool.meta_key = 'pp-facilities-pool' AND ppmeta_pool.meta_value = 'yes') JOIN wp_postmeta ppmeta_pool_type ON (ppmeta_pool_type.post_id = wp_posts.ID AND ppmeta_pool_type.meta_key = 'pp-facilities-pool-type' AND ppmeta_pool_type.meta_value IN ('tennis', 'voleyball', 'basketball', 'fitness')) JOIN wp_postmeta ppmeta_sport ON (ppmeta_sport.post_id = wp_posts.ID AND ppmeta_sport.meta_key = 'pp-facilities-sport' AND ppmeta_sport.meta_value = 'yes') JOIN wp_postmeta ppmeta_sport_type ON (ppmeta_sport_type.post_id = wp_posts.ID AND ppmeta_sport_type.meta_key = 'pp-facilities-sport-type' AND ppmeta_sport_type.meta_value IN ('tennis', 'voleyball', 'basketball', 'fitness')) JOIN wp_postmeta ppmeta_parking ON (ppmeta_parking.post_id = wp_posts.ID AND ppmeta_parking.meta_key = 'pp-facilities-parking' AND ppmeta_parking.meta_value = 'yes') JOIN wp_postmeta ppmeta_parking_type ON (ppmeta_parking_type.post_id = wp_posts.ID AND ppmeta_parking_type.meta_key = 'pp-facilities-parking-type' AND ppmeta_parking_type.meta_value IN ('street', 'off-street', 'garage')) JOIN wp_postmeta ppmeta_garden ON (ppmeta_garden.post_id = wp_posts.ID AND ppmeta_garden.meta_key = 'pp-facilities-garden' AND ppmeta_garden.meta_value = 'yes') JOIN wp_postmeta ppmeta_garden_type ON (ppmeta_garden_type.post_id = wp_posts.ID AND ppmeta_garden_type.meta_key = 'pp-facilities-garden-type' AND ppmeta_garden_type.meta_value IN ('private', 'communal')) JOIN wp_postmeta ppmeta_type ON (ppmeta_type.post_id = wp_posts.ID AND ppmeta_type.meta_key = 'pp-general-type' AND ppmeta_type.meta_value IN ('villa', 'apartment', 'penthouse')) JOIN wp_postmeta ppmeta_status ON (ppmeta_status.post_id = wp_posts.ID AND ppmeta_status.meta_key = 'pp-general-status' AND ppmeta_status.meta_value IN ('off-plan', 'resale')) JOIN wp_postmeta ppmeta_location_type ON (ppmeta_location_type.post_id = wp_posts.ID AND ppmeta_location_type.meta_key = 'pp-location-type' AND ppmeta_location_type.meta_value IN ('beachfront', 'countryside', 'town-center', 'near-the-sea', 'hillside', 'private-resort')) JOIN wp_postmeta ppmeta_price_range ON (ppmeta_price_range.post_id = wp_posts.ID AND ppmeta_price_range.meta_key = 'pp-general-price' AND ppmeta_price_range.meta_value BETWEEN 10000 AND 50000) JOIN wp_postmeta ppmeta_area_range ON (ppmeta_area_range.post_id = wp_posts.ID AND ppmeta_area_range.meta_key = 'pp-general-area' AND ppmeta_area_range.meta_value BETWEEN 50 AND 150) WHERE 1=1 AND (((wp_posts.post_title LIKE '%fdsfsad%') OR (wp_posts.post_content LIKE '%fdsfsad%'))) AND wp_posts.post_type = 'property' AND (wp_posts.post_status = 'publish' OR wp_posts.post_status = 'private') ORDER BY wp_posts.post_date DESC LIMIT 0, 10 It's way too big. Could anybody please show me a way of optimizing all those joins into fewer statements? As you can see they all use the same tables but under different names. I'm not an SQL guru but I think there should be a way, because this is insane ;) Thanks! Update Here's what explain returns: http://twitpic.com/1cd36p

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  • i18n - What are some naming-convention to use in creating language files?

    - by John Himmelman
    I'm developing a CMS that required i18n support. The translation strings are stored as an array in a language file (ie, en.php). Are there any naming conventions for this.. How can I improve on the sample language file below... // General 'general.title' => 'CMS - USA / English', 'general.save' => 'Save', 'general.choose_category' => 'Choose category', 'general.add' => 'Add', 'general.continue' => 'Continue', 'general.finish' => 'Finish', // Navigation 'nav.categories' => 'Categories', 'nav.products' => 'Products', 'nav.collections' => 'Collections', 'nav.styles' => 'Styles', 'nav.experts' => 'Experts', 'nav.shareyourstory' => 'Share Your Story', // Products 'cms.products' => 'Products', 'cms.add_product' => 'Add Product', // Categories 'cms.categories' => 'Categories', 'cms.add_category' => 'Add Category', // Collections 'cms.collections'=> 'Collections', 'cms.add_collections' => 'Add Collection', // Stylists 'cms.styles' => 'Stylists', 'cms.add_style' => 'Add Style', 'cms.add_a_style' => 'Add a style', // Share your story 'cms.share_your_story' => 'Share Your Story', // Styles 'cms.add_style' => 'Add Style',

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  • multiple vlans routed on one nic? trunk?General? or Access?

    - by Aceth
    ok for the last week I've tried racking my head around this... I have a SRW208P with 802.1q support, and a virtual endian appliance. I would like to be able to have 3 vlans having everything routed through the endian appliance.. i.e. The Virtual server has 2 bridged NIC's to the switch. This is where I'm getting confused .. On the 8 port switch I've got the 3 vlans set up ok (all being untagged as they are not going to be vlan aware), it's the port I'm connecting the endian firewall to the switch I'm having trouble with (second nic goes to the adsl modem and NAT'd) Is it meant to be a trunk, "Genereal" or "Access" then untagged or tagged? the end goal is to have vlan traffic routing through the single NIC and have endian route vlan traffic according to the rules. Any one have any ideas on the cisco small business stuff? Thanks

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  • High Sqlservr.exe Memory Usage

    - by user18576
    I have a problem with sqlservr.exe (version 2008). It use a more memory. I checked on windows taskbar manager, sqlservr.exe usage ( Mem usage - 8GB Ram). I dont know how can I fix it.Got the following metrics of the server using Perfmon: SQLServer:Buffer Manager Buffer cache hit ratio 13 SQLServer:Buffer Manager Page lookups/sec 46026128096 SQLServer:Buffer Manager Free pages 129295 SQLServer:Buffer Manager Total pages 997309 SQLServer:Buffer Manager Target pages 1053560 SQLServer:Buffer Manager Database pages 484117 SQLServer:Buffer Manager Reserved pages 0 SQLServer:Buffer Manager Stolen pages 383897 SQLServer:Buffer Manager Lazy writes/sec 384369 SQLServer:Buffer Manager Readahead pages/sec 69315446 SQLServer:Buffer Manager Page reads/sec 71280353 SQLServer:Buffer Manager Page writes/sec 12408371 SQLServer:Buffer Manager Checkpoint pages/sec 7053801 SQLServer:Buffer Manager Page life expectancy 735262 SQLServer:General Statistics Active Temp Tables 161 SQLServer:General Statistics Temp Tables Creation Rate 3131845 SQLServer:General Statistics Logins/sec 2336011 SQLServer:General Statistics Logouts/sec 2335984 SQLServer:General Statistics User Connections 27 SQLServer:General Statistics Transactions 0 SQLServer:Access Methods Full Scans/sec 34422821 SQLServer:Access Methods Range Scans/sec 2027247756 SQLServer:Access Methods Workfiles Created/sec 49771600 SQLServer:Access Methods Worktables Created/sec 28205828 SQLServer:Access Methods Index Searches/sec 4890715219 SQLServer:Access Methods FreeSpace Scans/sec 21178928 SQLServer:Access Methods FreeSpace Page Fetches/sec 21226653 SQLServer:Access Methods Pages Allocated/sec 41483279 SQLServer:Access Methods Extents Allocated/sec 4743504 SQLServer:Access Methods Extent Deallocations/sec 4806606 SQLServer:Access Methods Page Deallocations/sec 41419137 SQLServer:Access Methods Page Splits/sec 23834799 SQLServer:Memory Manager SQL Cache Memory (KB) 29160 SQLServer:Memory Manager Target Server Memory (KB) 8428480 SQLServer:Memory Manager Total Server Memory (KB) 7978472 Some body could help me please.And I really want to know the cause for the above.

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  • July, the 31 Days of SQL Server DMO’s – Day 19 (sys.dm_exec_query_stats)

    - by Tamarick Hill
    The sys.dm_exec_query_stats DMV is one of the most useful DMV’s out there when it comes to performance tuning. If you have been keeping up with this blog series this month, you know that I started out on Day 1 reviewing many of the DMV’s within the ‘exec’ namespace. I’m not sure how I missed this one considering how valuable it is, but hey, they say it’s better late than never right?? On Day 7 and Day 8 we reviewed the sys.dm_exec_procedure_stats and sys.dm_exec_trigger_stats respectively. This sys.dm_exec_query_stats DMV is very similar to these two. As a matter of fact, this DMV will return all of the information you saw in the other two DMV’s, but in addition to that, you can see stats for all queries that have cached execution plans on your server. You can even see stats for statements that are ran Ad-Hoc as long as they are still cached in the buffer pool. To better illustrate this DMV, let have a quick look at it: SELECT * FROM sys.dm_exec_query_stats As you can see, there is a lot of information returned from this DMV. I wont go into detail about each and every one of these columns, but I will touch on a few of them briefly. The first column is the ‘sql_handle’, which if you remember from Day 4 of our blog series, I explained how you can use this column to extract the actual SQL text that was executed. The next columns statement_start_offset and statement_end_offset provide you a way of extracting the exact SQL statement that was executed as part of a batch. The plan_handle column is used to extract the Execution plan that was used, which we talked about during Day 5 of this blog series. Later in the result set, you have columns to identify how many times a particular statement was executed, how much CPU time it used, how many reads/writes it performed, the duration, how many rows were returned, etc. These columns provide you with a solid avenue to begin your performance optimization. The last column I will touch on is the query_plan_hash column. A lot of times when you have Dynamic SQL running on your server, you have similar statements with different parameter values being passed in. Many times these types of statements will get similar execution plans and then a Binary hash value can be generated based on these similar plans. This query plan hash can be used to find the cost of all queries that have similar execution plans and then you can tune based on that plan to improve the performance of all of the individual queries. This is a very powerful way of identifying and tuning Ad-hoc statements that run on your server. As I stated earlier, this sys.dm_exec_query_stats DMV is a very powerful and recommended DMV for performance tuning. You are able to quickly identify statements that are running on your server and analyze their impact on system resources. Using this DMV to track down the biggest performance killers on your server will allow you to make the biggest gains once you focus your tuning efforts on those top offenders. For more information about this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms189741.aspx Follow me on Twitter @PrimeTimeDBA

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  • SQL SERVER – Discard Results After Query Execution – SSMS

    - by pinaldave
    The first thing I do any day is to turn on the computer. Today I woke up and as soon as I turned on the computer I saw a chat message from a friend. He was a bit confused and wanted me to help him. Just as usual I am keeping the relevant conversation in focus and documenting our conversation as chat. Let us call him Ajit. Ajit: Pinal, every time I run a query there is no result displayed in the SSMS but when I run the query in my application it works and returns an appropriate result. Pinal:  Have you tried with different parameters? Ajit: Same thing. However, it works from another computer when I connect to the same server with the same query parameters? Pinal: What? That is new and I believe it is something to do with SSMS and not with the server. Send me screenshot please. Ajit: I believe so, let me send you a screenshot, Pinal: (looking at the screenshot) Oh man, there is no result-tab at all. Ajit: That is what the problem is. It does not have the tab which displays the result. This works just fine from another computer. Pinal: Have you referred Nakul’s blog post – SSMS – Query result options – Discard result after query executes, that talks about setting which can discard the query results after execution. (After a while) Ajit: I think it seems like on the computer where I am running the query my SSMS seems to have the option enabled related to discarding results. I fixed it by following Nakul’s blog post. Pinal: Great! Quite often I get the question what is the importance of the feature. Let us first see how to turn on or turn off this feature in SQL Server Management Studio 2012. In SSMS 2012 go to Tools >> Options >> Query Results > SQL Server >> Results to Grid >> Discard Results After Query Execution. When enabled this option will discard results after the execution. The advantage of disabling the option is that it will improve the performance by using less memory. However the real question is why would someone enable or disable the option. What are the cases when someone wants to run the query but do not care about the result? Matter of the fact, it does not make sense at all to run query and not care about the result. The matter of the fact, I can see quite a few reasons for using this option. I often enable this option when I am doing performance tuning exercise. During performance tuning exercise when I am working with execution plans and do not need results to verify every time or when I am tuning Indexes and its effect on execution plan I do not need the results. In this kind of situations I do keep this option on and discard the results. It always helps me big time as in most of the performance tuning exercise I am dealing with huge amount of the data and dealing with this data can be expensive. Nakul’s has done the experiment here already but I am going to repeat the same again using AdventureWorks Database. Run following T-SQL Script with and without enabling the option to discard the results. USE AdventureWorks2012 GO SELECT * FROM Sales.SalesOrderDetail GO 10 After enabling Discard Results After Query Execution After disabling Discard Results After Query Execution Well, this is indeed a good option when someone is debugging the execution plan or does not want the result to be displayed. Please note that this option does not reduce IO or CPU usage for SQL Server. It just discards the results after execution and a good help for debugging on the development server. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology

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  • Administer, manage, monitor, and fine tune the performance of your Oracle SOA Suite 11g Service Infrastructure and SOA composite applications.

    - by JuergenKress
    Key Features of the book If you are an Oracle SOA suite administrator, then this book is your bible. It gives you everything you need to know about all your tasks and help you to apply what you learn in your everyday life right from the first chapter. The book walks through promoting code across environments, performance tuning the service infrastructure, monitoring the environment, configuring security policies, managing the dehydration store, backing and restoring environments and so on. Packed with real-world examples from authors' own experiences, this books offers a unique insight into Oracle SOA Suite Administration. Detailed description The book begins with an introduction of SOA and quickly moves on to management of SOA composite applications. Readers will learn how to manage composite applications, their deployments and lifecycles. Equipped with this knowledge, readers will be introduced to monitoring and performance tuning SOA Suite, monitoring instances, messages, and composite applications, managing faults and exceptions, configuring audit levels of composite applications to include end-to-end monitoring through the use of extended logging as well as administering and configuring all SOA Suite components. A very important aspect of administration is tuning and optimizing the infrastructure for performance and book offers real work recommendations to monitor and performance tune service engines, the underlying WebLogic server, threads and timeouts, files systems, and composite applications. It also covers detailed administration of individual service components, configuring the infrastructure MBeans using both Oracle Enterprise Manager Fusion Middleware Control and WLST based scripts, migrating worklist preferences and BAM data across environments, setting up Email, LDAP and custom XPath. An administrator is always trusted with troubleshooting and root causing problems in the infrastructure and this book will help you through the troubleshooting approaches as how to identify faults and exception through extended logging and thread dumps and find solutions to common startup problems and deployment issues. The advanced contents of this book explains OWSM security framework and how to secure components deployed to the infrastructure along with the details of all groundwork needed to ready the environment. Last few chapters help you to understand and deal with managing the metadata services repository and dehydration store, backup and recovery and concluding with advanced topics such as silent/scripted installations, cloning, upgrading, patching and high availability installations. Packed with real-world examples, and tips straight from the trench; this book offers insights into SOA Suite administration that you will not find elsewhere. Part of our writing style in this book draws heavily on the philosophy of reuse and as such the book provide an ample of executable SQL queries and WLST scripts that administrators can reuse and extend to perform most of the administration tasks such as monitoring instances, processing times, instance states and perform automatic deployments, tuning, migration, and installation. These scripts are spread over each of the chapters in the book and can also be downloaded from here. The book is available in different formats at the following websites: Paperback and eBook versions & Kindle version. It is available for order and signed copies are available through our web site. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: SOA book,SOA Suite Adminsitration,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • Talking JavaOne with Rock Star Kirk Pepperdine

    - by Janice J. Heiss
    Kirk Pepperdine is not only a JavaOne Rock Star but a Java Champion and a highly regarded expert in Java performance tuning who works as a consultant, educator, and author. He is the principal consultant at Kodewerk Ltd. He speaks frequently at conferences and co-authored the Ant Developer's Handbook. In the rapidly shifting world of information technology, Pepperdine, as much as anyone, keeps up with what's happening with Java performance tuning. Pepperdine will participate in the following sessions: CON5405 - Are Your Garbage Collection Logs Speaking to You? BOF6540 - Java Champions and JUG Leaders Meet Oracle Executives (with Jeff Genender, Mattias Karlsson, Henrik Stahl, Georges Saab) HOL6500 - Finding and Solving Java Deadlocks (with Heinz Kabutz, Ellen Kraffmiller Martijn Verburg, Jeff Genender, and Henri Tremblay) I asked him what technological changes need to be taken into account in performance tuning. “The volume of data we're dealing with just seems to be getting bigger and bigger all the time,” observed Pepperdine. “A couple of years ago you'd never think of needing a heap that was 64g, but today there are deployments where the heap has grown to 256g and tomorrow there are plans for heaps that are even larger. Dealing with all that data simply requires more horse power and some very specialized techniques. In some cases, teams are trying to push hardware to the breaking point. Under those conditions, you need to be very clever just to get things to work -- let alone to get them to be fast. We are very quickly moving from a world where everything happens in a transaction to one where if you were to even consider using a transaction, you've lost." When asked about the greatest misconceptions about performance tuning that he currently encounters, he said, “If you have a performance problem, you should start looking at code at the very least and for that extra step, whip out an execution profiler. I'm not going to say that I never use execution profilers or look at code. What I will say is that execution profilers are effective for a small subset of performance problems and code is literally the last thing you should look at.And what is the most exciting thing happening in the world of Java today? “Interesting question because so many people would say that nothing exciting is happening in Java. Some might be disappointed that a few features have slipped in terms of scheduling. But I'd disagree with the first group and I'm not so concerned about the slippage because I still see a lot of exciting things happening. First, lambda will finally be with us and with lambda will come better ways.” For JavaOne, he is proctoring for Heinz Kabutz's lab. “I'm actually looking forward to that more than I am to my own talk,” he remarked. “Heinz will be the third non-Sun/Oracle employee to present a lab and the first since Oracle began hosting JavaOne. He's got a great message. He's spent a ton of time making sure things are going to work, and we've got a great team of proctors to help out. After that, getting my talk done, the Java Champion's panel session and then kicking back and just meeting up and talking to some Java heads."Finally, what should Java developers know that they currently do not know? “’Write Once, Run Everywhere’ is a great slogan and Java has come closer to that dream than any other technology stack that I've used. That said, different hardware bits work differently and as hard as we try, the JVM can't hide all the differences. Plus, if we are to get good performance we need to work with our hardware and not against it. All this implies that Java developers need to know more about the hardware they are deploying to.”

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  • Windows Server 2008 R2 time keeps changing unexpectedly

    - by lmhost
    There is a serious problem with one of my servers time. At some random hours (5:59 localtime in the following example) it goes 1 hour back and keeps doing this again and again next times it reaches 5:59. Like this: 5:59-4:59 … 5:59- 4:59 and so on. It stays in the loop until I manually update its time. The server OS is Windows 2008 R2 Standard x64, acting as a standalone web server on the internet. time zone (UTC-05:00). system log: Information 4/13/2012 5:59:34 PM Kernel-General 1 None Information 4/13/2012 5:59:34 PM Kernel-General 1 None Information 4/13/2012 5:59:34 PM Kernel-General 1 None Information 4/13/2012 5:59:34 PM Kernel-General 1 None Information 4/13/2012 5:59:34 PM Kernel-General 1 None Information 4/13/2012 5:59:34 PM Kernel-General 1 None all of the above entries have same content: The system time has changed to ?2012?-?04?-?13T21:59:34.500000000Z from ?2012?-?04?-?13T22:59:34.500000000Z. Details XML View: - <Event xmlns="http://schemas.microsoft.com/win/2004/08/events/event"> - <System> <Provider Name="Microsoft-Windows-Kernel-General" Guid="{A68CA8B7-004F-D7B6-A698-07E2DE0F1F5D}" /> <EventID>1</EventID> <Version>0</Version> <Level>4</Level> <Task>0</Task> <Opcode>0</Opcode> <Keywords>0x8000000000000010</Keywords> <TimeCreated SystemTime="2012-04-13T21:59:34.500000000Z" /> <EventRecordID>4060</EventRecordID> <Correlation /> <Execution ProcessID="4" ThreadID="80" /> <Channel>System</Channel> <Computer>********</Computer> <Security UserID="S-1-5-18" /> </System> - <EventData> <Data Name="NewTime">2012-04-13T21:59:34.500000000Z</Data> <Data Name="OldTime">2012-04-13T22:59:34.500000000Z</Data> </EventData> </Event> Any idea about what’s going on? Thanks

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  • Composite Views and View Controllers

    - by BillyK
    Hi, I'm somewhat new to Android and am in the process of designing an application with a couple fairly complex views. One of the views is intended to involve a complex view displaying information associated with model objects and segregated into several different views; the navigation of which is meant to be achieved using sliding effects (i.e. sliding one's finger across the screen to traverse from one screen to the next, etc). The view itself will be used to host multiple sets of views for varying types of model objects, but with a general structure that is reused between them all. As a rough example, the view might come up to display information about a person (the model object), displaying several details views: a view for general information, a view displaying a list of hobbies, and a view displaying a list of other individuals associated with their social network. The same general view, when given a model object representing a particular car would give several different views: A general view with details, A view containing photo images for that vehicle, a view representing locations which it could be purchased from, and a view providing a list of related cars. (NOTE: This is not the real data involved, but is representative of the general intent for the view). The subviews will NOT cover the entire screen real-estate and other features within the view should be both visible and able to be interacted with by the user. The idea here is that there is a general view structure that is reusable and which will manage a set of subviews dynamically generated based upon the type of model object handed to the view. I'm trying to determine the appropriate way to leverage the Android framework in order to best achieve this without violating the integrity of the framework. Basically, I'm trying to determine how to componentize this larger view into reusable units (i.e. general view, model-specific sub-view controllers, and individual detail views). To be more specific, I'm trying to determine if this view is best designed as a composite of several custom View classes or a composite of several Activity classes. I've seen several examples of custom composite views, but they typically are used to compose simple views without complex controllers and without attention to the general Activity lifecycle (i.e. storing and retrieving data related to the model objects, as appropriate). On the other hand, the only real example I've seen regarding a view comprised of a composite of Activities is the TabActivity itself, and that isn't customizable in the fashion that would be necessary for this. Does anyone have any suggestions as to the appropriate way to structure my view to achieve the application framework I'm looking for? Views? Activities? Something else? Any guidance would be appreciated. Thanks in advance.

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  • The blocking nature of aggregates

    - by Rob Farley
    I wrote a post recently about how query tuning isn’t just about how quickly the query runs – that if you have something (such as SSIS) that is consuming your data (and probably introducing a bottleneck), then it might be more important to have a query which focuses on getting the first bit of data out. You can read that post here.  In particular, we looked at two operators that could be used to ensure that a query returns only Distinct rows. and The Sort operator pulls in all the data, sorts it (discarding duplicates), and then pushes out the remaining rows. The Hash Match operator performs a Hashing function on each row as it comes in, and then looks to see if it’s created a Hash it’s seen before. If not, it pushes the row out. The Sort method is quicker, but has to wait until it’s gathered all the data before it can do the sort, and therefore blocks the data flow. But that was my last post. This one’s a bit different. This post is going to look at how Aggregate functions work, which ties nicely into this month’s T-SQL Tuesday. I’ve frequently explained about the fact that DISTINCT and GROUP BY are essentially the same function, although DISTINCT is the poorer cousin because you have less control over it, and you can’t apply aggregate functions. Just like the operators used for Distinct, there are different flavours of Aggregate operators – coming in blocking and non-blocking varieties. The example I like to use to explain this is a pile of playing cards. If I’m handed a pile of cards and asked to count how many cards there are in each suit, it’s going to help if the cards are already ordered. Suppose I’m playing a game of Bridge, I can easily glance at my hand and count how many there are in each suit, because I keep the pile of cards in order. Moving from left to right, I could tell you I have four Hearts in my hand, even before I’ve got to the end. By telling you that I have four Hearts as soon as I know, I demonstrate the principle of a non-blocking operation. This is known as a Stream Aggregate operation. It requires input which is sorted by whichever columns the grouping is on, and it will release a row as soon as the group changes – when I encounter a Spade, I know I don’t have any more Hearts in my hand. Alternatively, if the pile of cards are not sorted, I won’t know how many Hearts I have until I’ve looked through all the cards. In fact, to count them, I basically need to put them into little piles, and when I’ve finished making all those piles, I can count how many there are in each. Because I don’t know any of the final numbers until I’ve seen all the cards, this is blocking. This performs the aggregate function using a Hash Match. Observant readers will remember this from my Distinct example. You might remember that my earlier Hash Match operation – used for Distinct Flow – wasn’t blocking. But this one is. They’re essentially doing a similar operation, applying a Hash function to some data and seeing if the set of values have been seen before, but before, it needs more information than the mere existence of a new set of values, it needs to consider how many of them there are. A lot is dependent here on whether the data coming out of the source is sorted or not, and this is largely determined by the indexes that are being used. If you look in the Properties of an Index Scan, you’ll be able to see whether the order of the data is required by the plan. A property called Ordered will demonstrate this. In this particular example, the second plan is significantly faster, but is dependent on having ordered data. In fact, if I force a Stream Aggregate on unordered data (which I’m doing by telling it to use a different index), a Sort operation is needed, which makes my plan a lot slower. This is all very straight-forward stuff, and information that most people are fully aware of. I’m sure you’ve all read my good friend Paul White (@sql_kiwi)’s post on how the Query Optimizer chooses which type of aggregate function to apply. But let’s take a look at SQL Server Integration Services. SSIS gives us a Aggregate transformation for use in Data Flow Tasks, but it’s described as Blocking. The definitive article on Performance Tuning SSIS uses Sort and Aggregate as examples of Blocking Transformations. I’ve just shown you that Aggregate operations used by the Query Optimizer are not always blocking, but that the SSIS Aggregate component is an example of a blocking transformation. But is it always the case? After all, there are plenty of SSIS Performance Tuning talks out there that describe the value of sorted data in Data Flow Tasks, describing the IsSorted property that can be set through the Advanced Editor of your Source component. And so I set about testing the Aggregate transformation in SSIS, to prove for sure whether providing Sorted data would let the Aggregate transform behave like a Stream Aggregate. (Of course, I knew the answer already, but it helps to be able to demonstrate these things). A query that will produce a million rows in order was in order. Let me rephrase. I used a query which produced the numbers from 1 to 1000000, in a single field, ordered. The IsSorted flag was set on the source output, with the only column as SortKey 1. Performing an Aggregate function over this (counting the number of rows per distinct number) should produce an additional column with 1 in it. If this were being done in T-SQL, the ordered data would allow a Stream Aggregate to be used. In fact, if the Query Optimizer saw that the field had a Unique Index on it, it would be able to skip the Aggregate function completely, and just insert the value 1. This is a shortcut I wouldn’t be expecting from SSIS, but certainly the Stream behaviour would be nice. Unfortunately, it’s not the case. As you can see from the screenshots above, the data is pouring into the Aggregate function, and not being released until all million rows have been seen. It’s not doing a Stream Aggregate at all. This is expected behaviour. (I put that in bold, because I want you to realise this.) An SSIS transformation is a piece of code that runs. It’s a physical operation. When you write T-SQL and ask for an aggregation to be done, it’s a logical operation. The physical operation is either a Stream Aggregate or a Hash Match. In SSIS, you’re telling the system that you want a generic Aggregation, that will have to work with whatever data is passed in. I’m not saying that it wouldn’t be possible to make a sometimes-blocking aggregation component in SSIS. A Custom Component could be created which could detect whether the SortKeys columns of the input matched the Grouping columns of the Aggregation, and either call the blocking code or the non-blocking code as appropriate. One day I’ll make one of those, and publish it on my blog. I’ve done it before with a Script Component, but as Script components are single-use, I was able to handle the data knowing everything about my data flow already. As per my previous post – there are a lot of aspects in which tuning SSIS and tuning execution plans use similar concepts. In both situations, it really helps to have a feel for what’s going on behind the scenes. Considering whether an operation is blocking or not is extremely relevant to performance, and that it’s not always obvious from the surface. In a future post, I’ll show the impact of blocking v non-blocking and synchronous v asynchronous components in SSIS, using some of LobsterPot’s Script Components and Custom Components as examples. When I get that sorted, I’ll make a Stream Aggregate component available for download.

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  • The blocking nature of aggregates

    - by Rob Farley
    I wrote a post recently about how query tuning isn’t just about how quickly the query runs – that if you have something (such as SSIS) that is consuming your data (and probably introducing a bottleneck), then it might be more important to have a query which focuses on getting the first bit of data out. You can read that post here.  In particular, we looked at two operators that could be used to ensure that a query returns only Distinct rows. and The Sort operator pulls in all the data, sorts it (discarding duplicates), and then pushes out the remaining rows. The Hash Match operator performs a Hashing function on each row as it comes in, and then looks to see if it’s created a Hash it’s seen before. If not, it pushes the row out. The Sort method is quicker, but has to wait until it’s gathered all the data before it can do the sort, and therefore blocks the data flow. But that was my last post. This one’s a bit different. This post is going to look at how Aggregate functions work, which ties nicely into this month’s T-SQL Tuesday. I’ve frequently explained about the fact that DISTINCT and GROUP BY are essentially the same function, although DISTINCT is the poorer cousin because you have less control over it, and you can’t apply aggregate functions. Just like the operators used for Distinct, there are different flavours of Aggregate operators – coming in blocking and non-blocking varieties. The example I like to use to explain this is a pile of playing cards. If I’m handed a pile of cards and asked to count how many cards there are in each suit, it’s going to help if the cards are already ordered. Suppose I’m playing a game of Bridge, I can easily glance at my hand and count how many there are in each suit, because I keep the pile of cards in order. Moving from left to right, I could tell you I have four Hearts in my hand, even before I’ve got to the end. By telling you that I have four Hearts as soon as I know, I demonstrate the principle of a non-blocking operation. This is known as a Stream Aggregate operation. It requires input which is sorted by whichever columns the grouping is on, and it will release a row as soon as the group changes – when I encounter a Spade, I know I don’t have any more Hearts in my hand. Alternatively, if the pile of cards are not sorted, I won’t know how many Hearts I have until I’ve looked through all the cards. In fact, to count them, I basically need to put them into little piles, and when I’ve finished making all those piles, I can count how many there are in each. Because I don’t know any of the final numbers until I’ve seen all the cards, this is blocking. This performs the aggregate function using a Hash Match. Observant readers will remember this from my Distinct example. You might remember that my earlier Hash Match operation – used for Distinct Flow – wasn’t blocking. But this one is. They’re essentially doing a similar operation, applying a Hash function to some data and seeing if the set of values have been seen before, but before, it needs more information than the mere existence of a new set of values, it needs to consider how many of them there are. A lot is dependent here on whether the data coming out of the source is sorted or not, and this is largely determined by the indexes that are being used. If you look in the Properties of an Index Scan, you’ll be able to see whether the order of the data is required by the plan. A property called Ordered will demonstrate this. In this particular example, the second plan is significantly faster, but is dependent on having ordered data. In fact, if I force a Stream Aggregate on unordered data (which I’m doing by telling it to use a different index), a Sort operation is needed, which makes my plan a lot slower. This is all very straight-forward stuff, and information that most people are fully aware of. I’m sure you’ve all read my good friend Paul White (@sql_kiwi)’s post on how the Query Optimizer chooses which type of aggregate function to apply. But let’s take a look at SQL Server Integration Services. SSIS gives us a Aggregate transformation for use in Data Flow Tasks, but it’s described as Blocking. The definitive article on Performance Tuning SSIS uses Sort and Aggregate as examples of Blocking Transformations. I’ve just shown you that Aggregate operations used by the Query Optimizer are not always blocking, but that the SSIS Aggregate component is an example of a blocking transformation. But is it always the case? After all, there are plenty of SSIS Performance Tuning talks out there that describe the value of sorted data in Data Flow Tasks, describing the IsSorted property that can be set through the Advanced Editor of your Source component. And so I set about testing the Aggregate transformation in SSIS, to prove for sure whether providing Sorted data would let the Aggregate transform behave like a Stream Aggregate. (Of course, I knew the answer already, but it helps to be able to demonstrate these things). A query that will produce a million rows in order was in order. Let me rephrase. I used a query which produced the numbers from 1 to 1000000, in a single field, ordered. The IsSorted flag was set on the source output, with the only column as SortKey 1. Performing an Aggregate function over this (counting the number of rows per distinct number) should produce an additional column with 1 in it. If this were being done in T-SQL, the ordered data would allow a Stream Aggregate to be used. In fact, if the Query Optimizer saw that the field had a Unique Index on it, it would be able to skip the Aggregate function completely, and just insert the value 1. This is a shortcut I wouldn’t be expecting from SSIS, but certainly the Stream behaviour would be nice. Unfortunately, it’s not the case. As you can see from the screenshots above, the data is pouring into the Aggregate function, and not being released until all million rows have been seen. It’s not doing a Stream Aggregate at all. This is expected behaviour. (I put that in bold, because I want you to realise this.) An SSIS transformation is a piece of code that runs. It’s a physical operation. When you write T-SQL and ask for an aggregation to be done, it’s a logical operation. The physical operation is either a Stream Aggregate or a Hash Match. In SSIS, you’re telling the system that you want a generic Aggregation, that will have to work with whatever data is passed in. I’m not saying that it wouldn’t be possible to make a sometimes-blocking aggregation component in SSIS. A Custom Component could be created which could detect whether the SortKeys columns of the input matched the Grouping columns of the Aggregation, and either call the blocking code or the non-blocking code as appropriate. One day I’ll make one of those, and publish it on my blog. I’ve done it before with a Script Component, but as Script components are single-use, I was able to handle the data knowing everything about my data flow already. As per my previous post – there are a lot of aspects in which tuning SSIS and tuning execution plans use similar concepts. In both situations, it really helps to have a feel for what’s going on behind the scenes. Considering whether an operation is blocking or not is extremely relevant to performance, and that it’s not always obvious from the surface. In a future post, I’ll show the impact of blocking v non-blocking and synchronous v asynchronous components in SSIS, using some of LobsterPot’s Script Components and Custom Components as examples. When I get that sorted, I’ll make a Stream Aggregate component available for download.

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  • How do I pass W3 validation for Google checkout url?

    - by Dinesh
    When I do validate the page in W3 validation, I got few errors with below code, <input type="image" name="Google Checkout" alt="Fast checkout through Google" src="https://sandbox.google.com/checkout/buttons/checkout.gif?merchant_id=xxxxxxxxx&w=168&h=44&style=white&variant=text&loc=en_US" / Errors are as follows, 1.cannot generate system identifier for general entity "w" 2.reference to entity "w" for which no system identifier could be generated 3.general entity "h" not defined and no default entity 4.reference to entity "h" for which no system identifier could be generated 5.general entity "style" not defined and no default entity 6.reference to entity "style" for which no system identifier could be generated 7.general entity "variant" not defined and no default entity 8.reference to entity "variant" for which no system identifier could be generated 9.general entity "loc" not defined and no default entity 10.reference to entity "loc" for which no system identifier could be generated This is the only errors comes from the URL; is there way to pass W3 validation for this URL.

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  • How binding each column to other data source..

    - by liran
    hello, i have datagridview and Object data source : public class Data { public general general { get; set; } public Person Person { get; set; } } public class general { public int Id { get; set; } public int Name { get; set; } } public class Person { public int Tag { get; set;} } } i want to bind first column to general.id and second to person.Tag, how i do this, its is possible to bind each column to other dataSource without add any code in data, person or general classes. maybe need to add column manually? Thanks

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  • How do I get an Enter USB TV Box TV tuner aka Gadmei UTV302 to work?

    - by Subhash
    Has anyone had any success in using the Enter USB TV Box from Enter Multimedia? It comes bundled with software that works in Windows. I have had no luck using it in Ubuntu 10.10. Update 1 Here is the output from lsusb Bus 007 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 006 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 005 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 004 Device 003: ID 093a:2510 Pixart Imaging, Inc. Optical Mouse Bus 004 Device 002: ID 046d:c312 Logitech, Inc. DeLuxe 250 Keyboard Bus 004 Device 001: ID 1d6b:0001 Linux Foundation 1.1 root hub Bus 003 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 002 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 001 Device 006: ID 1f71:3301 Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub I can't find the Enter USB TV Box listed in this. In the dmesg tail command, I found something that seems to be related to the card: usb 1-5: new high speed USB device using ehci_hcd and address 6 usb 1-5: config 1 interface 0 altsetting 1 bulk endpoint 0x83 has invalid maxpacket 256 Update 2 From Windows I learned that this USB TV tuner uses some chipset from Gadmei corporation. All computer stores in India sell Enter USB TV Box if you ask for an USB TV tuner. No other brand seems to be interested in this market. Update 3 I learned that this TV tuner is rebranded version of Gadmei UTV302 (USB TV Tuner Box). Update 4 I tried adding em28xx as the chipset (as suggested by user BOBBO below) for the tuner but that did not work. I went back to my Pinnacle PCTV internal card. I don't think the tuner referred by UbuntuForums (Gadmei UTV 330) and the tuner that I have (Gadmei UTV 302) are the same. My USB tuner is several times bigger. My tuner seems to be a newer device with a newer tuner chip. I will submit details of this device to the LinuxTV developers this weekend. Update 5 I opened the tuner box and found that it uses a tuner from a Chinese company - Tenas. Model is TNF 8022-DFA. Update 6 Tuner chip specs (retrived from supplier directory) for Tenas TNF 8022-DFA. Supply voltage: true 5V device(low power dissipation) Control system: I2C bus control of tuning, address selection Tuning system: PLL controlled tuning Receiving system: system PAL D/K,IF(Intermediate Frequency): 38MHz Receiving channels: full frequency range from channel DS1 (49.75MHz) to channel DS57 (863.25MHz); Use Texas Instruments SN761678 IC solution, with mini install size Update 7 Reverse side of the circuit board. Picture of the TV tuner

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  • Summary of Oracle E-Business Suite Technology Webcasts and Training

    - by BillSawyer
    Last Updated: November 16, 2011We're glad to hear that you've been finding our ATG Live Webcast series to be useful.  If you missed a webcast, you can download the presentation materials and listen to the recordings below. We're collecting other learning-related materials right now.  We'll update this summary with pointers to new training resources on an ongoing basis.  ATG Live Webcast Replays All of the ATG Live Webcasts are hosted by the Oracle University Knowledge Center.  In order to access the replays, you will need a free Oracle.com account. You can register for an Oracle.com account here.If you are a first-time OUKC user, you will have to accept the Terms of Use. Sign-in with your Oracle.com account, or if you don't already have one, use the link provided on the sign-in screen to create an account. After signing in, accept the Terms of Use. Upon completion of these steps, you will be directed to the replay. You only need to accept the Terms of Use once. Your acceptance will be noted on your account for all future OUKC replays and event registrations. 1. E-Business Suite R12 Oracle Application Framework (OAF) Rich User Interface Enhancements (Presentation) Prabodh Ambale (Senior Manager, ATG Development) and Gustavo Jiminez (Development Manager, ATG Development) offer a comprehensive review of the latest user interface enhancements and updates to OA Framework in EBS 12.  The webcast provides a detailed look at new features designed to enhance usability, including new capabilities for personalization and extensions, and features that support the use of dashboards and web services. (January 2011) 2. E-Business Suite R12 Service Oriented Architectures (SOA) Using the E-Business Suite Adapter (Presentation, Viewlet) Neeraj Chauhan (Product Manager, ATG Development) reviews the Service Oriented Architecture (SOA) capabilities within E-Business Suite 12, focussing on using the E-Business Suite Adapter to integrate EBS with third-party applications via web services, and orchestrate services and distributed transactions across disparate applications. (February 2011) 3. Deploying Oracle VM Templates for Oracle E-Business Suite and Oracle PeopleSoft Enterprise Applications Ivo Dujmovic (Director, ATG Development) reviews the latest capabilities for using Oracle VM to deploy virtualized EBS database and application tier instances using prebuilt EBS templates, wire those virtualized instances together using the EBS virtualization kit, and take advantage of live migration of user sessions between failing application tier nodes.  (February 2011) 4. How to Reduce Total Cost of Ownership (TCO) Using Oracle E-Business Suite Management Packs (Presentation) Angelo Rosado (Product Manager, ATG Development) provides an overview of how EBS sysadmins can make their lives easier with the Management Packs for Oracle E-Business Suite Release 12.  This session highlights key features in Application Management Pack (AMP) and Application Change Management Pack) that can automate or streamline system configurations, monitor EBS performance and uptime, keep multiple EBS environments in sync with patches and configurations, and create patches for your own EBS customizations and apply them with Oracle's own patching tools.  (June 2011) 5. Upgrading E-Business Suite 11i Customizations to R12 (Presentation) Sara Woodhull (Principal Product Manager, ATG Development) provides an overview of how E-Business Suite developers can manage and upgrade existing EBS 11i customizations to R12.  Sara covers methods for comparing customizations between Release 11i and 12, managing common customization types, managing deprecated technologies, and more. (July 2011) 6. Tuning All Layers of E-Business Suite (Part 1 of 3) (Presentation) Lester Gutierrez, Senior Architect, and Deepak Bhatnagar, Senior Manager, from the E-Business Suite Application Performance team, lead Tuning All Layers of E-Business Suite (Part 1 of 3). This webcast provides an overview of how Oracle E-Business Suite system administrators, DBAs, developers, and implementers can improve E-Business Suite performance by following a performance tuning framework. Part 1 focuses on the performance triage approach, tuning applications modules, upgrade performance best practices, and tuning the database tier. This ATG Live Webcast is an expansion of the performance sessions at conferences that are perennial favourites with hardcore Apps DBAs. (August 2011)  7. Oracle E-Business Suite Directions: Deployment and System Administration (Presentation) Max Arderius, Manager Applications Technology Group, and Ivo Dujmovic, Director Applications Technology group, lead Oracle E-Business Suite Directions: Deployment and System Administration covering important changes in E-Business Suite R12.2. The changes discussed in this presentation include Oracle E-Business Suite architecture, installation, upgrade, WebLogic Server integration, online patching, and cloning. This webcast provides an overview of how Oracle E-Business Suite system administrators, DBAs, developers, and implementers can prepare themselves for these changes in R12.2 of Oracle E-Business Suite. (October 2011) Oracle University Courses For a general listing of all Oracle University courses related to E-Business Suite Technology, use the Oracle University E-Business Suite Technology course catalog link. Oracle University E-Business Suite Technology Course Catalog 1. R12 Oracle Applications System Administrator Fundamentals In this course students learn concepts and functions that are critical to the System Administrator role in implementing and managing the Oracle E-Business Suite. Topics covered include configuring security and user management, configuring flexfields, managing concurrent processing, and setting up other essential features such as profile options and printing. In addition, configuration and maintenance of an Oracle E-Business Suite through Oracle Applications Manager is discussed. Students also learn the fundamentals of Oracle Workflow including its setup. The System Administrator Fundamentals course provides the foundation needed to effectively control security and ensure smooth operations for an E-Business Suite installation. Demonstrations and hands-on practice reinforce the fundamental concepts of configuring an Oracle E-Business Suite, as well as handling day-to-day system administrator tasks. 2. R12.x Install/Patch/Maintain Oracle E-Business Suite This course will be applicable for customers who have implemented Oracle E-Business Suite Release 12 or Oracle E-Business Suite 12.1. This course explains how to go about installing and maintaining an Oracle E-Business Suite Release 12.x system. Both Standard and Express installation types are covered in detail. Maintenance topics include a detailed examination of the standard tools and utilities, and an in-depth look at patching an Oracle E-Business Suite system. After this course, students will be able to make informed decisions about how to install an Oracle E-Business Suite system that meets their specific requirements, and how to maintain the system afterwards. The extensive hands-on practices include performing an installation on a Linux system, navigating the file system to locate key files, running the standard maintenance tools and utilities, applying patches, and carrying out cloning operations. 3. R12.x Extend Oracle Applications: Building OA Framework Applications This class is a hands-on lab-intensive course that will keep the student busy and active for the duration of the course. While the course covers the fundamentals that support OA Framework-based applications, the course is really an exercise in J2EE programming. Over the duration of the course, the student will create an OA Framework-based application that selects, inserts, updates, and deletes data from a R12 Oracle Applications instance. 4. R12.x Extend Oracle Applications: Customizing OA Framework Applications This course has been significantly changed from the prior version to include additional deployments. The course doesn't teach the specifics of configuration of each product. That is left to the product-specific courses. What the course does cover is the general methods of building, personalizing, and extending OA Framework-based pages within the E-Business Suite. Additionally, the course covers the methods to deploy those types of customizations. The course doesn't include discussion of the Oracle Forms-based pages within the E-Business Suite. 5. R12.x Extend Oracle Applications: OA Framework Personalizations Personalization is the ability within an E-Business Suite instance to make changes to the look and behavior of OA Framework-based pages without programming. And, personalizations are likely to survive patches and upgrades, increasing their utility. This course will systematically walk you through the myriad of personalization options, starting with simple examples and increasing in complexity from there. 6. E-Business Suite: BI Publisher 5.6.3 for Developers Starting with the basic concepts, architecture, and underlying standards of Oracle XML Publisher, this course will lead a student through a progress of exercises building their expertise. By the end of the course, the student should be able to create Oracle XML Publisher RTF templates and data templates. They should also be able to deploy and maintain a BI Publisher report in an E-Business Suite instance. Students will also be introduced to Oracle BI Publisher Enterprise. 7. R12.x Implement Oracle Workflow This course provides an overview of the architecture and features of Oracle Workflow and the benefits of using Oracle Workflow in an e-business environment. You can learn how to design workflow processes to automate and streamline business processes, and how to define event subscriptions to perform processing triggered by business events. Students also learn how to respond to workflow notifications, how to administer and monitor workflow processes, and what setup steps are required for Oracle Workflow. Demonstrations and hands-on practice reinforce the fundamental concepts. 8. R12.x Oracle E-Business Suite Essentials for Implementers Oracle R12.1 E-Business Essentials for Implementers is a course that provides a functional foundation for any E-Business Suite Fundamentals course.

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  • SQLAuthority News – Online Webcast How to Identify Resource Bottlenecks – Wait Types and Queues

    - by pinaldave
    As all of you know I have been working a recently on the subject SQL Server Wait Statistics, the reason is since I have published book on this subject SQL Wait Stats Joes 2 Pros: SQL Performance Tuning Techniques Using Wait Statistics, Types & Queues [Amazon] | [Flipkart] | [Kindle], lots of question and answers I am encountering. When I was writing the book, I kept version 1 of the book in front of me. I wanted to write something which one can use right away. I wanted to create an primer for everybody who have not explored wait stats method of performance tuning. Well, the books have been very well received and in fact we ran out of huge stock 2 times in India so far and once in USA during SQLPASS. I have received so many questions on this subject that I feel I can write one more book of the same size. I have been asked if I can create videos which can go along with this book. Personally I am working with SQL Server 2012 CTP3 and there are so many new wait types, I feel the subject of wait stats is going to be very very crucial in next version of SQL Server. If you have not started learning about this subject, I suggest you at least start exploring this right now. Learn how to begin on this subject atleast as when the next version comes in, you know how to read DMVs. I will be presenting on the same subject of performance tuning by wait stats in webcast embarcadero SQL Server Community Webinar. Here are few topics which we will be covering during the webinar. Beginning with SQL Wait Stats Understanding various aspect of SQL Wait Stats Understanding Query Life Cycle Identifying three TOP wait Stats Resolution of the common 3 wait types and queues Details of the webcast: How to Identify Resource Bottlenecks – Wait Types and Queues Date and Time: Wednesday, November 2, 11:00 AM PDT Registration Link I thank embarcadero for organizing opportunity for me to share my experience on subject of wait stats and connecting me with community to further take this subject to next level. One more interesting thing, I will ask one question at the end of the webinar and I will be giving away 5 copy of my SQL Wait Stats print book to first five correct answers. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: About Me, Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • ETPM Environment Health Monitoring Tools

    - by Paula Speranza-Hadley
    This post is to provide some useful information about the tools typically used by Oracle ETPM implementations for performance tuning and analysis.   This includes tools to monitor and gather performance information and statistics on the Database, Application Server, and Client (browser).  Enterprise Monitoring Tools Oracle Enterprise Manager - OEM Grid Control comes with a comprehensive set of performance and health metrics that allow monitoring of key components in your environment such as applications, application servers, databases, as well as the back-end components on which they rely, such as hosts, operating systems and storage. Tools for the Database Oracle Diagnostics Pack Automatic Workload Repository (AWR)  - this tool gets statistics from memory abut the Time Model or DB Time, Wait Events, Active Session History and High Load SWL queries Automatic Database Diagnostic Monitor (ADDM) - This self-diagnostic software is built into the database.  It examines and analyzes data captured in AWR to dertermine possible performance issues.  It locates the root cause of the issue, provides recommendations for correcting the issues and qualifies the expected benefit. Oracle Database Tuning Pack SQL Tuning Advisor - This enables you to submit one or more SQL statements as input and receive output in the form of specific advice or recommendations on how to tune statements.  The recommendation relates to collection of statistics on objects, creation on new indexes and restructuring of SQL statements. SQL Access Advisor - This enables you to optimize data access paths of SQL queries by recommending a proper set of materialized views, indexes and partitions for a given SQL workload. Tools for the Application Server Weblogic Console - is a web-based, user interface used to configure and control a set of WebLogic servers or clusters (i.e. a "domain").  In any logical group of WebLogic servers there must exist one admin server, which hosts the WebLogic Admin console application and manages the associated configuratoin files. WebLogic Administrators will use the Administration Console for a number of tasks, including: Starting and stopping WebLogic servers or entire clusters. Configuring server parameters, security, database connections and deployed applications. Viewing server status, health and metrics. Yourkit for Profiling - helps analyze synchronization issues, including: Which threads were calling wait(), and for how long Which threads were blocked on attempt to acquire a monitor held by another thread (synchronized methods/blocks), and for how long Tools for the Client Fiddler - allows you to inspect traffic logs, debug and set breakpoints. Firebug – allows you to inspect and edit HTML, monitor network activity and debug JavaScript

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  • ArchBeat Link-o-Rama for 2012-04-04

    - by Bob Rhubart
    Is This How the Execs React to Your Recommendations? blogs.oracle.com "Well then, do your homework next time!" advises Rick Ramsey, and offers a list of Oracle Solaris 11 resources that just might make your next encounter a little less humiliating. WebLogic Server Performance and Tuning: Part I - Tuning JVM | Gokhan Gungor blogs.oracle.com A detailed how-to post from Gokhan Gungor. How to deal with transport level security policy with OSB | Jian Liang blogs.oracle.com Jian Liang shares "a use case for Oracle Service Bus (OSB) 11gPS4 to consume a Web Service which is secured by HTTP transport level security policy." Thought for the Day "Simple things should be simple and complex things should be possible." — Alan Kay

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  • Sponsor sessions - why should you attend?

    - by Testas
    At the Manchester SQL Server User Group we have had a number of sponser sessions, likewise at SQLBits too You may think  that it would be an hour promoting the software that that a particular vendor has to offer. This is often not the case. many session spend  time focusing on the tools, native to SQL Server that can be used for performance tuning and finish off by providing an overview of vendors software and how it can make it easier to perform performance tuning operations on your SQL Server. Many of you will be attending SQLBits this April. Many of the sponsors will perform a lunchtime lecture surrounding many areas of SQL Server. Event sponsors play a very important role in supporting events such as SQLBits and some of the SQL Server User group events Based on the presentations I have seen, I would recommend attending one of the lunchtime sessions at SQLBits. I have no doubt you will pick up golden nuggets of information that will help you in your work. I know I have Chris

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  • Enter comments on queries in TraceTune

    - by Bill Graziano
    I’m trying to make TraceTune (and eventually ClearTrace) work the way I do.  My typical query tuning session goes like this: Run a trace and upload to TraceTune/ClearTrace Tune the slowest queries Goto 1 I might do this two or three times in one day and then not come back to it again for weeks or even months.  This is especially true for those clients that I only visit a few times per month.  In many cases I’ll look at a query, decide I can’t do much with it and move on.  I needed a way to capture that information. TraceTune now lets you enter a comment for a query.  It can be as simple or as complex as you like.  The comment will be shown inline with the execution history of that query. This should let you walk back through your history with a query and decide whether you should spend more time tuning it.

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  • Hands-on GlassFish FREE Course covering Deployment, Class Loading, Clustering, etc.

    - by arungupta
    René van Wijk, an Oracle ACE Director and a prolific blogger at middlewaremagic.com has shared contents of a FREE hands-on course on GlassFish. The course provides an introduction to GlassFish internals, JVM tuning, Deployment, Class Loading, Security, Resource Configuration, and Clustering. The self-paced hands-on instructions guide through the process of installing, configuring, deploying, tuning and other aspects of application development and deployment on GlassFish. The complete course material is available here. This course can also be taken as a paid instructor-led course. The attendees will get their own VM and will have plenty of time for Q&A and discussions. Register for this paid course. Oracle Education also offers a similar paid course on Oracle GlassFish Server 3.1: Administration and Deployment.

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