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  • Linqpad with Table Storage

    - by kaleidoscope
    LinqPad as we all know has been a wonderful tool for running ad-hoc queries. With Azure Table storage in picture LinqPad was no longer in picture and we shifted focus to Cloud Storage Studio only to realize the limited and strange querying capabilities of CSS. With some tweaking to Linqpad we can get the comfortable old shoe of ad-hoc queries with LinqPad in the Azure Table storage. Steps: 1. Start LinqPad 2. Right Click in the query window and select “Query Properties” 3. In The Additional References add reference to Microsoft.WindowsAzure.StorageClient, System.Data.Services.Client.dll and the assembly containing the implementation of the DataServiceContext class tied to the Azure table storage. 4. In the additional namespace imports import the same three namespaces mentioned above. 5. Then we need to provide following details. a. Table storage account name and shared key. b. DataServiceContext implementing class in your code. c. A LINQ query. e.x. var storageAccountName = "myStorageAccount";  // Enter valid storage account name var storageSharedKey = "mysharedKey"; // Enter valid storage account shared key var uri = new System.Uri("http://table.core.windows.net/"); var storageAccountInfo = new CloudStorageAccount(new StorageCredentialsAccountKey(storageAccountName, storageSharedKey), false); var serviceContext = new TweetPollDataServiceContext(storageAccountInfo); // Specify the DataServiceContext implementation // The query var query = from row in serviceContext.Table select row;         query.Dump(); Sarang, K

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  • Revamped Google Webmaster Tools

    With a positive surprise I realized today that Google's Webmaster Tools had some minor overhauling and provide some more details than before. Most obvious are the changes on the dashboard where the Top Search Queries now provide information about impressions and clicktroughs instead of the rankings before. Only the links of the search expressions are missing. It seems that the Top search queries were in the focus of this update. The section is now spiced with detailed graphs about what happened during selectable periods on your site. Well, seems that the Webmaster Tools mimic a stripped-down version of Google Analytics... I was very pleased by the details that are offered when you click on a single query term. Really nice to see the search rankings and your responsible URLs at the same time. Before, you had to put two browser instances side-by-side to achieve this kind of overview. Personally, I like the approach to visualize statistics the way Google or other providers do. It gives you a quick and informative overview, and enables you to dig further into details about peaks and lows on your visits, page impressions or clickthroughs.

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  • xVelocity engines compared: VertiPaq vs ColumnStore #ssas #vertipaq #xvelocity #sql #tabular

    - by Marco Russo (SQLBI)
    During the last months I and Alberto worked in several projects using Analysis Services Tabular and we had to face real world issues, such as complex queries, large data volume, frequent data updates and so on. Sometime we faced the challenge of comparing Tabular performance with SQL Server. It seemed a non-sense, because even if the same core xVelocity technology is implemented in both products (SQL Server 2012 uses ColumnStore indexes, whereas Analysis Services 2012 uses VertiPaq), we initially assumed that the better optimization for the in-memory engine used by Analysis Services would have been always better than SQL Server. However, we discovered several important things: Processing time might be different and having data on SQL Server could make ColumnStore way faster for processing. Partitioning in SQL Server might be much more effective for query performance than Analysis Services. A single query can scale easily on more processor on SQL Server, whereas in Analysis Services the formula engine is single-threaded and could be a bottleneck for certain queries. In case of a large workload with many concurrent users, storage engine cache in Analysis Services could be a big advantage over SQL Server, especially for scalability As you can see, these considerations are not always obvious and you might be tempted to make other assumptions based on these information. Well, don’t do that. Before anything else, read the whitepaper VertiPaq vs ColumnStore Comparison written by Alberto Ferrari. Then, measure your workload. Finally, make some conclusion. But don’t make too many assumptions. You might be wrong, as we did at the beginning of this journey.

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  • Apache VERY high page load time

    - by Aaron Waller
    My Drupal 6 site has been running smoothly for years but recently has experienced intermittent periods of extreme slowness (10-60 sec page loads). Several hours of slowness followed by hours of normal (4-6 sec) page loads. The page always loads with no error, just sometimes takes forever. My setup: Windows Server 2003 Apache/2.2.15 (Win32) Jrun/4.0 PHP 5 MySql 5.1 Drupal 6 Cold fusion 9 Vmware virtual environment DMZ behind a corporate firewall Traffic: 1-3 hits/sec avg Troubleshooting No applicable errors in apache error log No errors in drupal event log Drupal devel module shows 242 queries in 366.23 milliseconds,page execution time 2069.62 ms. (So it looks like queries and php scripts are not the problem) NO unusually high CPU, memory, or disk IO Cold fusion apps, and other static pages outside of drupal also load slow webpagetest.org test shows very high time-to-first-byte The problem seems to be with Apache responding to requests, but previously I've only seen this behavior under 100% cpu load. Judging solely by resource monitoring, it looks as though very little is going on. Here is the kicker - roughly half of the site's access comes from our LAN, but if I disable the firewall rule and block access from outside of our network, internal (LAN) access (1000+ devices) is speedy. But as soon as outside access is restored the site is crippled. Apache config? Crawlers/bots? Attackers? I'm at the end of my rope, where should I be looking to determine where the problem lies?

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  • Top 5 Developer Enabling Nuggets in MySQL 5.6

    - by Rob Young
    MySQL 5.6 is truly a better MySQL and reflects Oracle's commitment to the evolution of the most popular and widelyused open source database on the planet.  The feature-complete 5.6 release candidate was announced at MySQL Connect in late September and the production-ready, generally available ("GA") product should be available in early 2013.  While the message around 5.6 has been focused mainly on mass appeal, advanced topics like performance/scale, high availability, and self-healing replication clusters, MySQL 5.6 also provides many developer-friendly nuggets that are designed to enable those who are building the next generation of web-based and embedded applications and services. Boiling down the 5.6 feature set into a smaller set, of simple, easy to use goodies designed with developer agility in mind, these things deserve a quick look:Subquery Optimizations Using semi-JOINs and late materialization, the MySQL 5.6 Optimizer delivers greatly improved subquery performance. Specifically, the optimizer is now more efficient in handling subqueries in the FROM clause; materialization of subqueries in the FROM clause is now postponed until their contents are needed during execution. Additionally, the optimizer may add an index to derived tables during execution to speed up row retrieval. Internal tests run using the DBT-3 benchmark Query #13, shown below, demonstrate an order of magnitude improvement in execution times (from days to seconds) over previous versions. select c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice, sum(l_quantity)from customer, orders, lineitemwhere o_orderkey in (                select l_orderkey                from lineitem                group by l_orderkey                having sum(l_quantity) > 313  )  and c_custkey = o_custkey  and o_orderkey = l_orderkeygroup by c_name, c_custkey, o_orderkey, o_orderdate, o_totalpriceorder by o_totalprice desc, o_orderdateLIMIT 100;What does this mean for developers?  For starters, simplified subqueries can now be coded instead of complex joins for cross table lookups: SELECT title FROM film WHERE film_id IN (SELECT film_id FROM film_actor GROUP BY film_id HAVING count(*) > 12); And even more importantly subqueries embedded in packaged applications no longer need to be re-written into joins.  This is good news for both ISVs and their customers who have access to the underlying queries and who have spent development cycles writing, testing and maintaining their own versions of re-written queries across updated versions of a packaged app.The details are in the MySQL 5.6 docs. Online DDL OperationsToday's web-based applications are designed to rapidly evolve and adapt to meet business and revenue-generationrequirements. As a result, development SLAs are now most often measured in minutes vs days or weeks. For example, when an application must quickly support new product lines or new products within existing product lines, the backend database schema must adapt in kind, and most commonly while the application remains available for normal business operations.  MySQL 5.6 supports this level of online schema flexibility and agility by providing the following new ALTER TABLE online DDL syntax additions:  CREATE INDEX DROP INDEX Change AUTO_INCREMENT value for a column ADD/DROP FOREIGN KEY Rename COLUMN Change ROW FORMAT, KEY_BLOCK_SIZE for a table Change COLUMN NULL, NOT_NULL Add, drop, reorder COLUMN Again, the details are in the MySQL 5.6 docs. Key-value access to InnoDB via Memcached APIMany of the next generation of web, cloud, social and mobile applications require fast operations against simple Key/Value pairs. At the same time, they must retain the ability to run complex queries against the same data, as well as ensure the data is protected with ACID guarantees. With the new NoSQL API for InnoDB, developers have allthe benefits of a transactional RDBMS, coupled with the performance capabilities of Key/Value store.MySQL 5.6 provides simple, key-value interaction with InnoDB data via the familiar Memcached API.  Implemented via a new Memcached daemon plug-in to mysqld, the new Memcached protocol is mapped directly to the native InnoDB API and enables developers to use existing Memcached clients to bypass the expense of query parsing and go directly to InnoDB data for lookups and transactional compliant updates.  The API makes it possible to re-use standard Memcached libraries and clients, while extending Memcached functionality by integrating a persistent, crash-safe, transactional database back-end.  The implementation is shown here:So does this option provide a performance benefit over SQL?  Internal performance benchmarks using a customized Java application and test harness show some very promising results with a 9X improvement in overall throughput for SET/INSERT operations:You can follow the InnoDB team blog for the methodology, implementation and internal test cases that generated these results here. How to get started with Memcached API to InnoDB is here. New Instrumentation in Performance SchemaThe MySQL Performance Schema was introduced in MySQL 5.5 and is designed to provide point in time metrics for key performance indicators.  MySQL 5.6 improves the Performance Schema in answer to the most common DBA and Developer problems.  New instrumentations include: Statements/Stages What are my most resource intensive queries? Where do they spend time? Table/Index I/O, Table Locks Which application tables/indexes cause the most load or contention? Users/Hosts/Accounts Which application users, hosts, accounts are consuming the most resources? Network I/O What is the network load like? How long do sessions idle? Summaries Aggregated statistics grouped by statement, thread, user, host, account or object. The MySQL 5.6 Performance Schema is now enabled by default in the my.cnf file with optimized and auto-tune settings that minimize overhead (< 5%, but mileage will vary), so using the Performance Schema ona production server to monitor the most common application use cases is less of an issue.  In addition, new atomic levels of instrumentation enable the capture of granular levels of resource consumption by users, hosts, accounts, applications, etc. for billing and chargeback purposes in cloud computing environments.The MySQL docs are an excellent resource for all that is available and that can be done with the 5.6 Performance Schema. Better Condition Handling - GET DIAGNOSTICSMySQL 5.6 enables developers to easily check for error conditions and code for exceptions by introducing the new MySQL Diagnostics Area and corresponding GET DIAGNOSTICS interface command. The Diagnostic Area can be populated via multiple options and provides 2 kinds of information:Statement - which provides affected row count and number of conditions that occurredCondition - which provides error codes and messages for all conditions that were returned by a previous operation The addressable items for each are: The new GET DIAGNOSTICS command provides a standard interface into the Diagnostics Area and can be used via the CLI or from within application code to easily retrieve and handle the results of the most recent statement execution.  An example of how it is used might be:mysql> DROP TABLE test.no_such_table; ERROR 1051 (42S02): Unknown table 'test.no_such_table' mysql> GET DIAGNOSTICS CONDITION 1 -> @p1 = RETURNED_SQLSTATE, @p2 = MESSAGE_TEXT; mysql> SELECT @p1, @p2; +-------+------------------------------------+| @p1   | @p2                                | +-------+------------------------------------+| 42S02 | Unknown table 'test.no_such_table' | +-------+------------------------------------+ Options for leveraging the MySQL Diagnotics Area and GET DIAGNOSTICS are detailed in the MySQL Docs.While the above is a summary of some of the key developer enabling 5.6 features, it is by no means exhaustive. You can dig deeper into what MySQL 5.6 has to offer by reading this developer zone article or checking out "What's New in MySQL 5.6" in the MySQL docs.BONUS ALERT!  If you are developing on Windows or are considering MySQL as an alternative to SQL Server for your next project, application or shipping product, you should check out the MySQL Installer for Windows.  The installer includes the MySQL 5.6 RC database, all drivers, Visual Studio and Excel plugins, tray monitor and development tools all a single download and GUI installer.   So what are your next steps? Register for Dec. 13 "MySQL 5.6: Building the Next Generation of Web-Based Applications and Services" live web event.  Hurry!  Seats are limited. Download the MySQL 5.6 Release Candidate (look under the Development Releases tab) Provide Feedback <link to http://bugs.mysql.com/> Join the Developer discussion on the MySQL Forums Explore all MySQL Products and Developer Tools As always, thanks for your continued support of MySQL!

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  • Searching Your PL/SQL Source with Oracle SQL Developer

    - by thatjeffsmith
    Version 3.2.1 included a few tweaks along with several hundred bug fixes. One of those tweaks was the addition of ‘ALL_SOURCE’ as a selection for the Type drop down in the Find Database Object panel. Scroll ALL the way down to the bottom Searching the database for your code or objects can be expensive. The ALL_SOURCE view comes in pretty handy when I want to demo how to cancel long running queries or the Task Progress panel – did you know you can manage all of your long running queries here? Yeah, don’t run this I pretty much hosed our demo pod at Open World b/c I ran that same query but added an ORDER BY b.TEXT DESC to the query and blew up the TEMP space and filled the primary partition on the image. Fun stuff. Anyways, where was I going with this? Oh yeah, searching ALL_SOURCE can be expensive. So we took it out of the product for awhile. And now it’s back in. If you select the ‘ALL’ field, it doesn’t actually search EVERYTHING, because that would probably be less than helpful. So if you want to search your PL/SQL objects for a scrap or bit of code, use the ‘ALL_SOURCE’ option in v3.2.1 Double-Click on the search results to go to the code you’re looking for. Be careful what you search for. Just like any query, it could take awhile.

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  • SQLAuthority News – #SQLPASS 2012 Book Signing Photos

    - by pinaldave
    I am at SQLPASS 2012 and the event is going great. Here are few of the random photos and random news. We had participated in three different book signing event today. SQL Queries 2012 Joes 2 Pros Book 1 Launch and Book Signing SQL 2012 Functions Book Launch at Embarcadero SQL Backup and Recovery Book Launch at Idera Rick Morelan and I authored the first two books 1) SQL 2012 Functions and 2) SQL Queries 2012 Joes 2 Pros Volume 1. Our dear friend Tim Randney authored SQL Backup and Recovery Book. In the book signing event of Tim Radney I went ahead of the time and stood in the line. I was fortunate to receive the very first copy of the autographed book from Tim Radney. We have one more book signing event of the book SQL Backup and Recovery by Tim Randey on Friday 9, 2012 between 12 to 1 PM at Joes 2 Pros booth #117. This is your last chance to shake hands with us and meet us in person. Reference: Pinal Dave (http://blog.sqlauthority.com)   Filed under: PostADay, SQL, SQL Authority, SQL PASS, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Author Visit, SQLAuthority News, T SQL, Technology

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  • SQLAuthority News – Microsoft Whitepaper – AlwaysOn Solution Guide: Offloading Read-Only Workloads to Secondary Replicas

    - by pinaldave
    SQL Server 2012 has many interesting features but the most talked feature is AlwaysOn. Performance tuning is always a hot topic. I see lots of need of the same and lots of business around it. However, many times when people talk about performance tuning they think of it as a either query tuning, performance tuning, or server tuning. All are valid points, but performance tuning expert usually understands the business workload and business logic before making suggestions. For example, if performance tuning expert analysis workload and realize that there are plenty of reports as well read only queries on the server they can for sure consider alternate options for the same. If read only data is not required real time or it can accept the data which is delayed a bit it makes sense to divide the workload. A secondary replica of the original data which can serve all the read only queries and report is a good idea in most of the cases where there is plenty of workload which is not dependent on the real time data. SQL Server 2012 has introduced the feature of AlwaysOn which can very well fit in this scenario and provide a solution in Read-Only Workloads. Microsoft has recently announced a white paper which is based on absolutely the same subject. I recommend it to read for every SQL Enthusiast who is are going to implement a solution to offload read-only workloads to secondary replicas. Download white paper AlwaysOn Solution Guide: Offloading Read-Only Workloads to Secondary Replicas Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: AlwaysOn

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  • Splitting big request in multiple small ajax requests

    - by Ionut
    I am unsure regarding the scalability of the following model. I have no experience at all with large systems, big number of requests and so on but I'm trying to build some features considering scalability first. In my scenario there is a user page which contains data for: User's details (name, location, workplace ...) User's activity (blog posts, comments...) User statistics (rating, number of friends...) In order to show all this on the same page, for a request there will be at least 3 different database queries on the back-end. In some cases, I imagine that those queries will be running quite a wile, therefore the user experience may suffer while waiting between requests. This is why I decided to run only step 1 (User's details) as a normal request. After the response is received, two ajax requests are sent for steps 2 and 3. When those responses are received, I only place the data in the destined wrappers. For me at least this makes more sense. However there are 3 requests instead of one for every user page view. Will this affect the system on the long term? I'm assuming that this kind of approach requires more resources but is this trade of UX for resources a good dial or should I stick to one plain big request?

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  • Game Resource Generation

    - by Darthg8r
    I am currently building a game that has a "City" entity. These cities generate and consume resources such as food variably over a period of time. I need to be able query the server often to find exactly how much food the city at any given point. These queries can take place multiple times per minute. There could also be 400,000 cities to track at a given time. How would you handle tracking these resources? Would you do it in real time, keeping an instance of the city in memory on the server, with some sort of a snapshot in time of the resources, then computing the growth/consumption from that snapshot time for subsequent queries? Would you work exclusively with a database, using a similar "snapshoting" scheme? Maybe a mixture of the 2, caching recently queried cities in memory for a period of time? There is also a lot of other data that each city needs to track. A player can queue units to build in a barrack. The armies available in the city will need to be updated as units complete. I'm interested in everyone's input on where/when/how you'd manage the real time data.

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  • Best approach to accessing multiple data source in a web application

    - by ced
    I've a base web application developed with .net technologies (asp.net) used into our LAN by 30 users simultanousley. From this web application I've developed two verticalization used from online users. In future i expect hundreds users simultanousley. Our company has different locations. Each site use its own database. The web application needs to retrieve information from all existing databases. Currently there are 3 database, but it's not excluded in the future expansion of new offices. My question then is: What is the best strategy for a web application to retrieve information from different databases (which have the same schema) whereas the main objective performance data access and high fault tolerance? There are case studies in the literature that I can take as an example? Do you know some good documents to study? Do you have any tips to implement this task so efficient? Intuitively I would say that two possible strategy are: perform queries from different sources in real time and aggregate data on the fly; create a repository that contains the union of the entities of interest and perform queries directly on repository;

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  • The Bing Sting - an alternative opinion

    - by Charles Young
    I know I'm a bit of an MS fanboy at times, but please, am I missing something here? Microsoft, with permission of users, exploits clickstream data gathered by observing user behaviour. One use for this data is to improve Bing queries. Google equips twenty of its engineers with laptops and installs the widgets required to provide Microsoft with clickstream data. It then gets their engineers to repeatedly (I assume) type in 'synthetic' queries which bring back 'doctored' hits. It asks its engineers to then click these results (think about this!). So, the behaviour of the engineers is observed and the resulting clickstream data goes off to Microsoft. It is processed and 'improves' Bing results accordingly.   What exactly did Microsoft do wrong here?   Google's so-called 'Bing sting' is clearly a very effective attack from a propaganda perspective, but is poor practice from a company that claims to do no evil. Generating and sending clickstream data deliberately so that you can then subsequently claim that your competitor 'copied' that data from you is neither fair nor reasonable, and suggests to me a degree of desperation in the face of real competition.   Monopolies are undesirable, whether they are Microsoft monopolies or Google monopolies.    Personally, I'm glad Microsoft has technology in place to observe user behaviour (with permission, of course) and improve their search results using such data. I can only assume Google doesn't implement similar capabilities. Sounds to me as if, at least in this respect, Microsoft may offer the better technology.

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  • Red Samurai Performance Audit Tool – OOW 2013 release (v 1.1)

    - by JuergenKress
    We are running our Red Samurai Performance Audit tool and monitoring ADF performance in various projects already for about one year and the half. It helps us a lot to understand ADF performance bottlenecks and tune slow ADF BC View Objects or optimise large ADF BC fetches from DB. There is special update implemented for OOW'13 - advanced ADF BC statistics are collected directly from your application ADF BC runtime and later displayed as graphical information in the dashboard. I will be attending OOW'13 in San Francisco, feel free to stop me and ask about this tool - I will be happy to give it away and explain how to use it in your project. Original audit screen with ADF BC performance issues, this is part of our Audit console application: Audit console v1.1 is improved with one more tab - Statistics. This tab displays all SQL Selects statements produced by ADF BC over time, logged users, AM access load distribution and number of AM activations along with user sessions. Available graphs: Daily Queries  - total number of SQL selects per day Hourly Queries - Last 48 Hours Logged Users - total number of user sessions per day SQL Selects per Application Module - workload per Application Module Number of Activations and User sessions - last 48 hours - displays stress load Read the complete article here. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: Red Samurai,ADF performance,WebLogic,WebLogic Community,Oracle,OPN,Jürgen Kress

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  • TechEd North America 2012–Day 3 #msTechEd #teched

    - by Marco Russo (SQLBI)
    Yesterday I spent the longest day at this TechEd: we talked with many people at Community Night until 9pm and I have to say that just a few months after Analysis Services 2012 has been released, there are many people already using it. And the adoption of PowerPivot is starting to be quite large. Many new ideas and challenging coming from several different real world scenarios. I was tired but really happy. Alberto presented his Many-to-Many Relationships in BISM Tabular session that was in the same time slot of the BI Power Hour. For this reason, very few people attended Alberto’s session so I think many will watch the recorded session (it should be available within a few days). So what about today? I’ll spend some time at Technical Learning Center area (full schedule here) but the most important event today will be the Querying multi-billion rows with many to many relationships in SSAS Tabular (xVelocity) at the Private Cloud, Public Cloud and Data Platform Theater in the Technical Learning Center area (next to the SQL Server 2012 zone).  Why you should attend? Mainly because you will see live demo over 4 billion rows table with many-to-many relationships involved in complex queries. But for those of you that think this is not enough to attend a 15 minute funny session, well, we’ll give away some 8GB USB Memory Keys to those of you that will guess exact response time of queries before execution. Convinced? Join us at 11:15am and don’t be late, the session will finish at 11:30am! After that, we’ll run a book signing session at the Bookstore at 12:30pm and I will be in the Technical Learning Center area at 3:00pm until 5:00pm. See you there!

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  • Database Driven Web Application, C# Front-End and F# Back-End meaning

    - by user1473053
    Hi I am an intern working with ASP.NET. My current task is to make a website which will incorporate some jquery viewing features. This project seems to me will be primarily dealing with reading data from a database and making graphs out of them. This will require me to make custom queries from whatever the client is looking at. I think it is going to be what this guy calls an Ad Hoc Query tool My plan for this is to make it a database-driven website. So I can utilize the jquery dynamic viewing capabilities. I stumbled upon the functional programming paradigm and found F#. I read that because of it's functional programming paradigm, it makes it a good language to do asynchronous functions. I read about how you can use this with LINQ to SQL and how easy it is to make queries without actually putting the query language in. I understand the concept of the MVC design pattern. But I don't understand what they mean about C# being the front-end and F# being the back-end. Can someone clarify this to me? Also what are your thoughts about doing this project in this way? Any comments and thoughts are greatly appreciated. I feel as if learning F# will be a great learning experience for me. My guess is that the F# back-end is like the part where it controls the calls to the database. F# is possibly the model part of the design pattern. And C# is the controller. So HTML, Javascript and Jquery stuff will be my View design pattern. Clarify please?

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  • How does datomic handle "corrections"?

    - by blueberryfields
    tl;dr Rich Hickey describes datomic as a system which implicitly deals with timestamps associated with data storage from my experience, data is often imperfectly stored in systems, and on many occasions needs to retroactively be corrected (ie, often the question of "was a True on Tuesday at 12:00pm?" will have an incorrect answer stored in the database) This seems like a spot where the abstractions behind datomic might break - do they? If they don't, how does the system handle such corrections? Rich Hickey, in several of his talks, justifies the creation of datomic, and explains its benefits. His work, if I understand correctly, is motivated by core the insight that humans, when speaking about data and facts, implicitly associate some of the related context into their work(a date-time). By pushing the work required to manage the implicit date-time component of context into the database, he's created a system which is both much easier to understand, and much easier to program. This turns out to be relevant to most database programmers in practice - his work saves everyone a lot of time managing complex, hard to produce/debug/fix, time queries. However, especially in large databases, data is often damaged/incorrect (maybe it was not input correctly, maybe it eroded over time, etc...). While most database updates are insertions of new facts, and should indeed be treated that way, a non-trivial subset of the work required to manage time-queries has to do with retroactive updates. I have yet to see any documentation which explains how such corrections, or retroactive updates, are handled by datomic; from my experience, they are a non-trivial (and incredibly difficult to deal with) subset of time-related data manipulation that database programmers are faced with. Does datomic gracefully handle such updates? If so, how?

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  • Why do I need a framework?

    - by lvictorino
    First of all I know my question may sounds idiot but I am no "beginner". In fact I work as game developer for several years now and I know some things about code :) But as this is no related to game development I am a bit lost. I am writing a big script (something about GIS) in Python, using a lot of data stored in a database. I made a first version of my script, and now, I'd like to re-design the whole thing. I read some advice about using a framework (like Django) for database queries. But as my script only "SELECT" informations I was wondering about the real benefits to use a framework. It seems that it adds a lot of complexity and useless embedded features (useless for my specific script) for the benefits that it will bring. Am I wrong? EDIT: few spec of this "script". Its purpose is to get GIS data on an enormous database (if you ever worked with openstreetmap you know what I mean ~= 200Go) and to manipulate this data in order to produce nice map images. Queries are not numerous (select streets, select avenues, select waterways, select forests... and so on for a specific area) but query results may be more than 10.000 rows. I'd like to sell this script as a service, so yes it's meant to stay.

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  • Reformatting and version control

    - by l0b0
    Code formatting matters. Even indentation matters. And consistency is more important than minor improvements. But projects usually don't have a clear, complete, verifiable and enforced style guide from day 1, and major improvements may arrive any day. Maybe you find that SELECT id, name, address FROM persons JOIN addresses ON persons.id = addresses.person_id; could be better written as / is better written than SELECT persons.id, persons.name, addresses.address FROM persons JOIN addresses ON persons.id = addresses.person_id; while working on adding more columns to the query. Maybe this is the most complex of all four queries in your code, or a trivial query among thousands. No matter how difficult the transition, you decide it's worth it. But how do you track code changes across major formatting changes? You could just give up and say "this is the point where we start again", or you could reformat all queries in the entire repository history. If you're using a distributed version control system like Git you can revert to the first commit ever, and reformat your way from there to the current state. But it's a lot of work, and everyone else would have to pause work (or be prepared for the mother of all merges) while it's going on. Is there a better way to change history which gives the best of all results: Same style in all commits Minimal merge work ? To clarify, this is not about best practices when starting the project, but rather what should be done when a large refactoring has been deemed a Good Thing™ but you still want a traceable history? Never rewriting history is great if it's the only way to ensure that your versions always work the same, but what about the developer benefits of a clean rewrite? Especially if you have ways (tests, syntax definitions or an identical binary after compilation) to ensure that the rewritten version works exactly the same way as the original?

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  • TraceTune: Improved Comment View

    - by Bill Graziano
    I wanted an easier way to identify queries I’d already looked at so I could skip them.  I’ve been entering comments for each query as I review it.  These comments typically fall into three categories: a change I made, no easy fix available or something needs to be changed on the client.  TraceTune now highlights any statement with a comment in bold.  If you hover over the statement you’ll see the most recent comment for that statement. This gives me a quick way to see what’s new and identify those queries that still need work.  This is especially helpful when I come back to a server after weeks or months away.  These comments help jar my memory and remind me what I’ve worked on. I made the font slightly smaller in some of the tables.  It’s still readable but I’m able to get more of a SQL statement on the screen.  I also got to re-experience the pain of Internet Explorer, Chrome and FireFox all displaying text (and pop-up text) slightly different. Seeing the comments on a trace has been a big help to me.  I often do a round of tuning and then don’t come back to a server until months later.  Having the comments available helps me get back up to speed quickly.

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  • Test JPQL with NetBeans IDE 7.3 Tools

    - by Geertjan
    Since I pretty much messed up this part of the "Unlocking Java EE 6 Platform" demo, which I did together with PrimeFaces lead Çagatay Çivici during JavaOne 2012, I feel obliged to blog about it to clarify what should have happened! In my own defense, I only learned about this feature 15 minutes before the session started. In 7.3 Beta, it works for Java SE projects, while for Maven-based web projects, you need a post 7.3 Beta build, which is what I set up for my demo right before it started. Then I saw that the feature was there, without actually trying it out, which resulted in that part of the demo being a bit messy. And thanks to whoever it was in the audience who shouted out how to use it correctly! Screenshots below show everything related to this new feature, available from 7.3 onwards, which means you can try out your JPQL queries right within the IDE, without deploying the application (you only need to build it since the queries are run on the compiled classes): SQL view: Result view for the above: Here, you see the result of a more specific query, i.e., check that a record with a specific name value is present in the database: Also note that there is code completion within the editor part of the dialog above. I.e., as you press Ctrl-Space, you'll see context-sensitive suggestions for filling out the query. All this is pretty cool stuff! Saves time because now there's no need to deploy the app to check the database connection.

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  • I've failed at PHP several times. Is Ruby the Cure? [closed]

    - by saltcod
    Extremely, extremely subjective question here, but its something I've been struggling with for quite a while. I've seriously tried to become a reasonable PHP coder for the past several years. But I've really failed every time. I hate to describe myself as a beginner, b/c I've been designing websites (using WordPress, Drupal, etc) for years, but still I just can't seem get better at programming. Could it be that I have some kind of allergy to PHP? I went through Chris Pine's awesome into to Ruby about a week ago (for about the fifth time), and though it did all all seem much clearer to me than PHP, I wondered if I was just switching languages to find an easy way out? The things I struggle with in PHP all seem elementary—when to use a function, how to return database queries in foreach/while statements, when to turn those queries into reusable functions, adding arguments to functions, etc, etc. And all the OOP stuff that I keep seeing these days just files over my head. I guess my question(s) are: Am I going about learning how to program in the wrong way? Do I have some aversion to PHP that's preventing me from catch on? If I keep pushing at Ruby/Rails, will it just eventually 'click'. Or, the one I fear, am I just unlikely to ever be a programmer? Honesty appreciated. Terry

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  • At what point does caching become necessary for a web application?

    - by Zaemz
    I'm considering the architecture for a web application. It's going to be a single page application that updates itself whenever the user selects different information on several forms that are available that are on the page. I was thinking that it shouldn't be good to rely on the user's browser to correctly interpret the information and update the view, so I'll send the user's choices to the server, and then get the data, send it back to the browser, and update the view. There's a table with 10,000 or so rows in a MySQL database that's going to be accessed pretty often, like once every 5-30 seconds for each user. I'm expecting 200-300 concurrent users at one time. I've read that a well designed relational database with simple queries are nothing for a RDBMS to handle, really, but I would still like to keep things quick for the client. Should this even be a concern for me at the moment? At what point would it be helpful to start using a separate caching service like Memcached or Redis, or would it even be necessary? I know that MySQL caches popular queries and the results, would this suffice?

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  • SQL SERVER – Example of Performance Tuning for Advanced Users with DB Optimizer

    - by Pinal Dave
    Performance tuning is such a subject that everyone wants to master it. In beginning everybody is at a novice level and spend lots of time learning how to master the art of performance tuning. However, as we progress further the tuning of the system keeps on getting very difficult. I have understood in my early career there should be no need of ego in the technology field. There are always better solutions and better ideas out there and we should not resist them. Instead of resisting the change and new wave I personally adopt it. Here is a similar example, as I personally progress to the master level of performance tuning, I face that it is getting harder to come up with optimal solutions. In such scenarios I rely on various tools to teach me how I can do things better. Once I learn about tools, I am often able to come up with better solutions when I face the similar situation next time. A few days ago I had received a query where the user wanted to tune it further to get the maximum out of the performance. I have re-written the similar query with the help of AdventureWorks sample database. SELECT * FROM HumanResources.Employee e INNER JOIN HumanResources.EmployeeDepartmentHistory edh ON e.BusinessEntityID = edh.BusinessEntityID INNER JOIN HumanResources.Shift s ON edh.ShiftID = s.ShiftID; User had similar query to above query was used in very critical report and wanted to get best out of the query. When I looked at the query – here were my initial thoughts Use only column in the select statements as much as you want in the application Let us look at the query pattern and data workload and find out the optimal index for it Before I give further solutions I was told by the user that they need all the columns from all the tables and creating index was not allowed in their system. He can only re-write queries or use hints to further tune this query. Now I was in the constraint box – I believe * was not a great idea but if they wanted all the columns, I believe we can’t do much besides using *. Additionally, if I cannot create a further index, I must come up with some creative way to write this query. I personally do not like to use hints in my application but there are cases when hints work out magically and gives optimal solutions. Finally, I decided to use Embarcadero’s DB Optimizer. It is a fantastic tool and very helpful when it is about performance tuning. I have previously explained how it works over here. First open DBOptimizer and open Tuning Job from File >> New >> Tuning Job. Once you open DBOptimizer Tuning Job follow the various steps indicates in the following diagram. Essentially we will take our original script and will paste that into Step 1: New SQL Text and right after that we will enable Step 2 for Generating Various cases, Step 3 for Detailed Analysis and Step 4 for Executing each generated case. Finally we will click on Analysis in Step 5 which will generate the report detailed analysis in the result pan. The detailed pan looks like. It generates various cases of T-SQL based on the original query. It applies various hints and available hints to the query and generate various execution plans of the query and displays them in the resultant. You can clearly notice that original query had a cost of 0.0841 and logical reads about 607 pages. Whereas various options which are just following it has different execution cost as well logical read. There are few cases where we have higher logical read and there are few cases where as we have very low logical read. If we pay attention the very next row to original query have Merge_Join_Query in description and have lowest execution cost value of 0.044 and have lowest Logical Reads of 29. This row contains the query which is the most optimal re-write of the original query. Let us double click over it. Here is the query: SELECT * FROM HumanResources.Employee e INNER JOIN HumanResources.EmployeeDepartmentHistory edh ON e.BusinessEntityID = edh.BusinessEntityID INNER JOIN HumanResources.Shift s ON edh.ShiftID = s.ShiftID OPTION (MERGE JOIN) If you notice above query have additional hint of Merge Join. With the help of this Merge Join query hint this query is now performing much better than before. The entire process takes less than 60 seconds. Please note that it the join hint Merge Join was optimal for this query but it is not necessary that the same hint will be helpful in all the queries. Additionally, if the workload or data pattern changes the query hint of merge join may be no more optimal join. In that case, we will have to redo the entire exercise once again. This is the reason I do not like to use hints in my queries and I discourage all of my users to use the same. However, if you look at this example, this is a great case where hints are optimizing the performance of the query. It is humanly not possible to test out various query hints and index options with the query to figure out which is the most optimal solution. Sometimes, we need to depend on the efficiency tools like DB Optimizer to guide us the way and select the best option from the suggestion provided. Let me know what you think of this article as well your experience with DB Optimizer. Please leave a comment. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Joins, SQL Optimization, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Tutorial: Criando um Componente para o UCM

    - by Denisd
    Então você já instalou o UCM, seguindo o tutorial: http://blogs.oracle.com/ecmbrasil/2009/05/tutorial_de_instalao_do_ucm.html e também já fez o hands-on: http://blogs.oracle.com/ecmbrasil/2009/10/tutorial_de_ucm.html e agora quer ir além do básico? Quer começar a criar funcionalidades para o UCM? Quer se tornar um desenvolvedor do UCM? Quer criar o Content Server à sua imagem e semelhança?! Pois hoje é o seu dia de sorte! Neste tutorial, iremos aprender a criar um componente para o Content Server. O nosso primeiro componente, embora não seja tão simples, será feito apenas com recursos do Content Server. Em um futuro tutorial, iremos aprender a usar classes java como parte de nossos componentes. Neste tutorial, vamos desenvolver um recurso de Favoritos, aonde os usuários poderão marcar determinados documentos como seus Favoritos, e depois consultar estes documentos em uma lista. Não iremos montar o componente com todas as suas funcionalidades, mas com o que vocês verão aqui, será tranquilo aprimorar este componente, inclusive para ambientes de produção. Componente MyFavorites Algumas características do nosso componente favoritos: - Por motivos de espaço, iremos montar este componente de uma forma “rápida e crua”, ou seja, sem seguir necessariamente as melhores práticas de desenvolvimento de componentes. Para entender melhor a prática de desenvolvimento de componentes, recomendo a leitura do guia Working With Components. - Ele será desenvolvido apenas para português-Brasil. Outros idiomas podem ser adicionados posteriormente. - Ele irá apresentar uma opção “Adicionar aos Favoritos” no menu “Content Actions” (tela Content Information), para que o usuário possa definir este arquivo como um dos seus favoritos. - Ao clicar neste link, o usuário será direcionado à uma tela aonde ele poderá digitar um comentário sobre este favorito, para facilitar a leitura depois. - Os favoritos ficarão salvos em uma tabela de banco de dados que iremos criar como parte do componente - A aba “My Content Server” terá uma opção nova chamada “Meus Favoritos”, que irá trazer uma tela que lista os favoritos, permitindo que o usuário possa deletar os links - Alguns recursos ficarão de fora deste exercício, novamente por motivos de espaço. Mas iremos listar estes recursos ao final, como exercícios complementares. Recursos do nosso Componente O componente Favoritos será desenvolvido com alguns recursos. Vamos conhecer melhor o que são estes recursos e quais são as suas funções: - Query: Uma query é qualquer atividade que eu preciso executar no banco, o famoso CRUD: Criar, Ler, Atualizar, Deletar. Existem diferentes jeitos de chamar a query, dependendo do propósito: Select Query: executa um comando SQL, mas descarta o resultado. Usado apenas para testar se a conexão com o banco está ok. Não será usado no nosso exercício. Execute Query: executa um comando SQL que altera informações do banco. Pode ser um INSERT, UPDATE ou DELETE. Descarta os resultados. Iremos usar Execute Query para criar, alterar e excluir os favoritos. Select Cache Query: executa um comando SQL SELECT e armazena os resultados em um ResultSet. Este ResultSet retorna como resultado do serviço e pode ser manipulado em IDOC, Java ou outras linguagens. Iremos utilizar Select Cache Query para retornar a lista de favoritos de um usuário. - Service: Os serviços são os responsáveis por executar as queries (ou classes java, mas isso é papo para um outro tutorial...). O serviço recebe os parâmetros de entrada, executa a query e retorna o ResultSet (no caso de um SELECT). Os serviços podem ser executados através de templates, páginas IDOC, outras aplicações (através de API), ou diretamente na URL do browser. Neste exercício criaremos serviços para Criar, Editar, Deletar e Listar os favoritos de um usuário. - Template: Os templates são as interfaces gráficas (páginas) que serão apresentadas aos usuários. Por exemplo, antes de executar o serviço que deleta um documento do favoritos, quero que o usuário veja uma tela com o ID do Documento e um botão Confirma, para que ele tenha certeza que está deletando o registro correto. Esta tela pode ser criada como um template. Neste exercício iremos construir templates para os principais serviços, além da página que lista todos os favoritos do usuário e apresenta as ações de editar e deletar. Os templates nada mais são do que páginas HTML com scripts IDOC. A nossa sequência de atividades para o desenvolvimento deste componente será: - Criar a Tabela do banco - Criar o componente usando o Component Wizard - Criar as Queries para inserir, editar, deletar e listar os favoritos - Criar os Serviços que executam estas Queries - Criar os templates, que são as páginas que irão interagir com os usuários - Criar os links, na página de informações do conteúdo e no painel My Content Server Pois bem, vamos começar! Confira este tutorial na íntegra clicando neste link: http://blogs.oracle.com/ecmbrasil/Tutorial_Componente_Banco.pdf   Happy coding!  :-)

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  • Simple-Talk development: a quick history lesson

    - by Michael Williamson
    Up until a few months ago, Simple-Talk ran on a pure .NET stack, with IIS as the web server and SQL Server as the database. Unfortunately, the platform for the site hadn’t quite gotten the love and attention it deserved. On the one hand, in the words of our esteemed editor Tony “I’d consider the current platform to be a “success”; it cost $10K, has lasted for 6 years, was finished, end to end in 6 months, and although we moan about it has got us quite a long way.” On the other hand, it was becoming increasingly clear that it needed some serious work. Among other issues, we had authors that wouldn’t blog because our current blogging platform, Community Server, was too painful for them to use. Forgetting about Simple-Talk for a moment, if you ask somebody what blogging platform they’d choose, the odds are they’d say WordPress. Regardless of its technical merits, it’s probably the most popular blogging platform, and it certainly seemed easier to use than Community Server. The issue was that WordPress is normally hosted on a Linux stack running PHP, Apache and MySQL — quite a difference from our Microsoft technology stack. We certainly didn’t want to rewrite the entire site — we just wanted a better blogging platform, with the rest of the existing, legacy site left as is. At a very high level, Simple-Talk’s technical design was originally very straightforward: when your browser sends an HTTP request to Simple-Talk, IIS (the web server) takes the request, does some work, and sends back a response. In order to keep the legacy site running, except with WordPress running the blogs, a different design is called for. We now use nginx as a reverse-proxy, which can then delegate requests to the appropriate application: So, when your browser sends a request to Simple-Talk, nginx takes that request and checks which part of the site you’re trying to access. Most of the time, it just passes the request along to IIS, which can then respond in much the same way it always has. However, if your request is for the blogs, then nginx delegates the request to WordPress. Unfortunately, as simple as that diagram looks, it hides an awful lot of complexity. In particular, the legacy site running on IIS was made up of four .NET applications. I’ve already mentioned one of these applications, Community Server, which handled the old blogs as well as managing membership and the forums. We have a couple of other applications to manage both our newsletters and our articles, and our own custom application to do some of the rendering on the site, such as the front page and the articles. When I say that it was made up of four .NET applications, this might conjure up an image in your mind of how they fit together: You might imagine four .NET applications, each with their own database, communicating over well-defined APIs. Sadly, reality was a little disappointing: We had four .NET applications that all ran on the same database. Worse still, there were many queries that happily joined across tables from multiple applications, meaning that each application was heavily dependent on the exact data schema that each other application used. Add to this that many of the queries were at least dozens of lines long, and practically identical to other queries except in a few key spots, and we can see that attempting to replace one component of the system would be more than a little tricky. However, the problems with the old system do give us a good place to start thinking about desirable qualities from any changes to the platform. Specifically: Maintainability — the tight coupling between each .NET application made it difficult to update any one application without also having to make changes elsewhere Replaceability — the tight coupling also meant that replacing one component wouldn’t be straightforward, especially if it wasn’t on a similar Microsoft stack. We’d like to be able to replace different parts without having to modify the existing codebase extensively Reusability — we’d like to be able to combine the different pieces of the system in different ways for different sites Repeatable deployments — rather than having to deploy the site manually with a long list of instructions, we should be able to deploy the entire site with a single command, allowing you to create a new instance of the site easily whether on production, staging servers, test servers or your own local machine Testability — if we can deploy the site with a single command, and each part of the site is no longer dependent on the specifics of how every other part of the site works, we can begin to run automated tests against the site, and against individual parts, both to prevent regressions and to do a little test-driven development In the next part, I’ll describe the high-level architecture we now have that hopefully brings us a little closer to these five traits.

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