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  • Java EE 7 Roadmap

    - by Linda DeMichiel
    The Java EE 6 Platform, released in December 2009, has seen great uptake from the community with its POJO-based programming model, lightweight Web Profile, and extension points. There are now 13 Java EE 6 compliant appserver implementations today! When we announced the Java EE 7 JSR back in early 2011, our plans were that we would release it by Q4 2012. This target date was slightly over three years after the release of Java EE 6, but at the same time it meant that we had less than two years to complete a fairly comprehensive agenda — to continue to invest in significant enhancements in simplification, usability, and functionality in updated versions of the JSRs that are currently part of the platform; to introduce new JSRs that reflect emerging needs in the community; and to add support for use in cloud environments. We have since announced a minor adjustment in our dates (to the spring of 2013) in order to accommodate the inclusion of JSRs of importance to the community, such as Web Sockets and JSON-P. At this point, however, we have to make a choice. Despite our best intentions, our progress has been slow on the cloud side of our agenda. Partially this has been due to a lack of maturity in the space for provisioning, multi-tenancy, elasticity, and the deployment of applications in the cloud. And partially it is due to our conservative approach in trying to get things "right" in view of limited industry experience in the cloud area when we started this work. Because of this, we believe that providing solid support for standardized PaaS-based programming and multi-tenancy would delay the release of Java EE 7 until the spring of 2014 — that is, two years from now and over a year behind schedule. In our opinion, that is way too long. We have therefore proposed to the Java EE 7 Expert Group that we adjust our course of action — namely, stick to our current target release dates, and defer the remaining aspects of our agenda for PaaS enablement and multi-tenancy support to Java EE 8. Of course, we continue to believe that Java EE is well-suited for use in the cloud, although such use might not be quite ready for full standardization. Even today, without Java EE 7, Java EE vendors such as Oracle, Red Hat, IBM, and CloudBees have begun to offer the ability to run Java EE applications in the cloud. Deferring the remaining cloud-oriented aspects of our agenda has several important advantages: It allows Java EE Platform vendors to gain more experience with their implementations in this area and thus helps us avoid risks entailed by trying to standardize prematurely in an emerging area. It means that the community won't need to wait longer for those features that are ready at the cost of those features that need more time. Because we have already laid some of the infrastructure for cloud support in Java EE 7, including resource definition metadata, improved security configuration, JPA schema generation, etc., it will allow us to expedite a Java EE 8 release. We therefore plan to target the Java EE 8 Platform release for the spring of 2015. This shift in the scope of Java EE 7 allows us to better retain our focus on enhancements in simplification and usability and to deliver on schedule those features that have been most requested by developers. These include the support for HTML 5 in the form of Web Sockets and JSON-P; the simplified JMS 2.0 APIs; improved Managed Bean alignment, including transactional interceptors; the JAX-RS 2.0 client API; support for method-level validation; a much more comprehensive expression language; and more. We feel strongly that this is the right thing to do, and we hope that you will support us in this proposed direction.

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  • Formatting a disk for Macintosh using Linux

    - by Ken Bloom
    I've been asked to move data from an old external hard drive to a new one, and to make the new one compatible with the Macintosh. (The old drive's USB connection has died, and I'm connecting to old the drive using a PC card that provieds an eSATA to the drive. The recipient's Macintosh doesn't have a PC card slot, so she can't access the old drive anymore. Hence, the new drive.) Naturally, I'm doing this data transfer using Linux. I've discovered that I can format the drive as HFS+ using mkfs.hfsplus from the hfsprogs package. But I need to know: do I need to do anything special with the partition table? Is there a special Macintosh partition table format that I need to format this disk to? If so, what tools can I use to get the right format for the partition table?

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  • How does MySQL 5.5 and InnoDB on Linux use RAM?

    - by Loren
    Does MySQL 5.5 InnoDB keep indexes in memory and tables on disk? Does it ever do it's own in-memory caching of part or whole tables? Or does it completely rely on the OS page cache (I'm guessing that it does since Facebook's SSD cache that was built for MySQL was done at the OS-level: https://github.com/facebook/flashcache/)? Does Linux by default use all of the available RAM for the page cache? So if RAM size exceeds table size + memory used by processes, then when MySQL server starts and reads the whole table for the first time it will be from disk, and from that point on the whole table is in RAM? So using Alchemy Database (SQL on top of Redis, everything always in RAM: http://code.google.com/p/alchemydatabase/) shouldn't be much faster than MySQL, given the same size RAM and database?

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  • One codebase - lots of hosted services (similar to a basecamp style service) - planning structure

    - by RickM
    We have built a service (PHP Based) for a client, and are now looking to offer it to other clients as a hosted service. For this example, think of it like a hosted forum service, where a client signs up on our site, and is given a subdomain or can use their own domain, and the code picks up the domain, checks it against a 'master' users table, and then loads the content as needed. I'm trying to work out the best way of handling multiple clients. At the moment I can only think of two options that would work: Option 1 - Have 1 set of database tables, but on each table have a column called 'siteid' - this would mean every query has to check the siteid. This would effectively work with just 1 codebase, and 1 database. Option 2 - Have 1 'master' database with all the core stuff such as the client details and their domain. Then when the systen checks the domain, it pulls the clients database details (username/password/dbname) from a table, and loads a second database. The issue here is security of the mysql server details, however it does have the benefit that they are running their own database instead of sharing one. Which option would I be better taking here, and why? Ideally I want it to be fairly easy to convert the 'standalone' script to the 'multi-domain' script as we're on a tight deadline.

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  • Is this an acceptable approach to undo/redo in Python?

    - by Codemonkey
    I'm making an application (wxPython) to process some data from Excel documents. I want the user to be able to undo and redo actions, even gigantic actions like processing the contents of 10 000 cells simultaneously. I Googled the topic, and all the solutions I could find involves a lot of black magic or is overly complicated. Here is how I imagine my simple undo/redo scheme. I write two classes - one called ActionStack and an abstract one called Action. Every "undoable" operation must be a subclass of Action and define the methods do and undo. The Action subclass is passed the instance of the "document", or data model, and is responsible for committing the operation and remembering how to undo the change. Now, every document is associated with an instance of the ActionStack. The ActionStack maintains a stack of actions (surprise!). Every time actions are undone and new actions are performed, all undone actions are removed for ever. The ActionStack will also automatically remove the oldest Action when the stack reaches the configurable maximum amount. I imagine the workflow would produce code looking something like this: class TableDocument(object): def __init__(self, table): self.table = table self.action_stack = ActionStack(history_limit=50) # ... def delete_cells(self, cells): self.action_stack.push( DeleteAction(self, cells) ) def add_column(self, index, name=''): self.action_stack.push( AddColumnAction(self, index, name) ) # ... def undo(self, count=1): self.action_stack.undo(count) def redo(self, count=1): self.action_stack.redo(count) Given that none of the methods I've found are this simple, I thought I'd get the experts' opinion before I go ahead with this plan. More specifically, what I'm wondering about is - are there any glaring holes in this plan that I'm not seeing?

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  • Data base structure of a subscriber list

    - by foodil
    I am building a application that allow different user to store the subscriber information To store the subscriber information , the user first create a list For each list, there is a ListID. Subscriber may have different attribute : email phone fax .... For each list, their setting is different , so a require_attribute table is introduced. It is a bridge between subscriber and List That store Listid ,subid , attribute, datatype That means the system have a lot of list, each user have their own list, and the list have different attribute, some list have email , phone , some may have phone, address, name mail.. And the datatype is different, some may use 'name' as integer , some may use 'name' as varchar attribute means email phone, it is to define for which list have which subscriber attribute datatype means for each attribute, what is its datatype Table :subscriber : Field :subid , name,email Table :Require Attribute: Field : Listid ,subid , attribute, datatype The attribute here is {name, email} So a simple data is Subscriber: 1 , MYname, Myemail Require Attribute : Listid , 1 , 'email', 'intger' Listid , 1 , 'name', 'varchar' I found that this kind of storage is too complex too handle with, Since the subscriber is share to every body, so if a person want to change the datatype of name, it will also affect the data of the other user. Simple error situation: Subscriber: list1, Subscriber 1 , name1, email1 list2, Subscriber 2 , name2 , email2 Require Attribute : List1 , Subscriber 1 , 'email', 'varchar', List1 , Subscriber 1 , 'name', 'varchar', Listid , Subscriber 2 , 'email', 'varchar', Listid , Subscriber 2, 'name', 'integer', if user B change the data type of name in require attribute from varchar to integer, it cause a problem. becasue list 1 is own by user A , he want the datatype is varchar, but list 2 is won by user B , he want the datatype to be integer So how can i redesign the structure?

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  • How to ignore an error in Powershell and let it continue?

    - by Jake
    I am trying to see if a process is running on multiple servers and then format it into a table. get-process -ComputerName server1,server2,server3 -name explorer | Select-Object processname,machinename Thats the easy part - When the process does not exist or if the server is unavailable, powershell outputs a big ugly error, messes up the the table and doesn't continue. Example Get-Process : Couldn't connect to remote machine.At line:1 char:12 + get-process <<<< -ComputerName server1,server2,server3 -name explorer | format-table processname,machinename + CategoryInfo : NotSpecified: (:) [Get-Process], InvalidOperatio nException + FullyQualifiedErrorId : System.InvalidOperationException,Microsoft.Power Shell.Commands.GetProcessCommand How do I get around this? If the I would still like to get notified if the process isn't available or Running.

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  • Joomla Secondary Users

    - by Gaz_Edge
    Background I have a joomla based application. My customers sign up and they register as a user on the site. My customers (primary customers) then have their own space on the site that they can then setup their own customers (secondary customer). Question/Problem The problem I am having is that I need to tag each secondary customer to a primary customer. I thought about just creating a new component and having a separate table that includes all the secondary customers. The problem is that I then lose out on all the authentication, session handling and login/logout that the core joomla _users component offers. I then thought about just having all the users in the core _users table and add the primary customer associated with each secondary customer to a field in a profile plugin. This would work for the most part, but this means that primary customers cannot create a secondary customer with a user name that already exists in the _users table. I didn't think this would be an issue, but several of my primary customers (currently only test users) have been confused by the site telling them a username is not available, since they can only see the names of their own secondary customers. Any ideas on some architectural changes I could make to solve this?

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  • How to create a database in Oracle8 Lite with Developer 2000 ?

    - by Tareq
    Hi all, I am new in Oracle. I install Oracle 8 Lite with Developer 2000. Now I want to create a database for me. For that I open Oracle8 Navigator and Create a database which user is system. But in Oracle SQL*Plus I can not communicate with the database. Or even after creating a table using Oracle8 Navigator I can't alter the table. Please tell me how can I alter my table?

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  • How to properly backup mediawiki database (mysql) without messing up the data?

    - by Toto
    I want to backup a mediawiki database stored in a MySQL server 5.1.36 using mysqldump. Most of the wiki articles are written in spanish and a don't want to mess up with it by creating the dump with the wrong character set. mysql> status -------------- ... Current database: wikidb Current user: root@localhost ... Server version: 5.1.36-community-log MySQL Community Server (GPL) .... Server characterset: latin1 Db characterset: utf8 Client characterset: latin1 Conn. characterset: latin1 ... Using the following command: mysql> show create table text; I see that the table create statement set the charset to binary: CREATE TABLE `text` ( `old_id` int(10) unsigned NOT NULL AUTO_INCREMENT, `old_text` mediumblob NOT NULL, `old_flags` tinyblob NOT NULL, PRIMARY KEY (`old_id`) ) ENGINE=InnoDB AUTO_INCREMENT=317 DEFAULT CHARSET=binary MAX_ROWS=10000000 AVG_ROW_LENGTH=10240 How should I use mysqldump to properly generate a backup for that database?

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  • Static DataTable or DataSet in a class - bad idea?

    - by Superbest
    I have several instances of a class. Each instance stores data in a common database. So, I thought "I'll make the DataTable table field static, that way every instance can just add/modify rows to its own table field, but all the data will actually be in one place!" However, apparently it's a bad idea to do use static fields, especially if it's databases: Don't Use "Static" in C#? Is this a bad idea? Will I run into problems later on if I use it? This is a small project so I can accept no testing as a compromise if that is the only drawback. The benefit of using a static database is that there can be many objects of type MyClass, but only one table they all talk to, so a static field seems to be an implementation of exactly this, while keeping syntax concise. I don't see why I shouldn't use a static field (although I wouldn't really know) but if I had to, the best alternative I can think of is creating one DataTable, and passing a reference to it when creating each instance of MyClass, perhaps as a constructor parameter. But is this really an improvement? It seems less intuitive than a static field.

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  • MySQL Locking Up

    - by Ian
    I've got a innodb table that gets a lot of reads and almost no writes (like, 1 write for every 400,000 reads approx). I'm running into a pretty big problem though when I do INSERT into the table. MySQL completely locks up. It uses 100% cpu, and every single other table (in other databases even) have their statuses set to "Locked" until the INSERT is done. This is a big problem because MySQL stays locked up for up to 4 minutes. I'm using version 5.1.47 (rpm from mysql.com). Any ideas?

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  • SASL (Postfix) authentication with MySQL and SHA1 pre-encrypted passwords

    - by webo
    I have a Rails app with the Devise authentication gem running user registration and login. I want to use the db table that Devise populates when a user registers as the table that Postfix uses to authenticate users. The table has all the fields that Postfix may want for SASL authentication except that Devise encrypts the password using SHA1 before placing it in the database. How could I go about getting Postfix/SASL to decrypt those passwords so that the user can be authenticated properly? Devise salts the password so I'm not sure if that helps. Any suggestions? I'd likely want to do something similar with Dovecot or Courier, I'm not attached to one quite yet.

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  • Should I use a config file or database for storing business rules?

    - by foiseworth
    I have recently been reading The Pragmatic Programmer which states that: Details mess up our pristine code—especially if they change frequently. Every time we have to go in and change the code to accommodate some change in business logic, or in the law, or in management's personal tastes of the day, we run the risk of breaking the system—of introducing a new bug. Hunt, Andrew; Thomas, David (1999-10-20). The Pragmatic Programmer: From Journeyman to Master (Kindle Locations 2651-2653). Pearson Education (USA). Kindle Edition. I am currently programming a web app that has some models that have properties that can only be from a set of values, e.g. (not actual example as the web app data confidential): light-type = sphere / cube / cylinder The light type can only be the above three values but according to TPP I should always code as if they could change and place their values in a config file. As there are several incidents of this throughout the app, my question is: Should I store possibly values like these in: a config file: 'light-types' = array(sphere, cube, cylinder), 'other-type' = value, 'etc = etc-value a single table in a database with one line for each config item a database with a table for each config item (e.g. table: light_types; columns: id, name) some other way? Many thanks for any assistance / expertise offered.

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  • Oracle Applications Cloud Release 8 Customization: Your User Interface, Your Text

    - by ultan o'broin
    Introducing the User Interface Text Editor In Oracle Applications Cloud Release 8, there’s an addition to the customization tool set, called the User Interface Text Editor  (UITE). When signed in with an application administrator role, users launch this new editing feature from the Navigator's Tools > Customization > User Interface Text menu option. See how the editor is in there with other customization tools? User Interface Text Editor is launched from the Navigator Customization menu Applications customers need a way to make changes to the text that appears in the UI, without having to initiate an IT project. Business users can now easily change labels on fields, for example. Using a composer and activated sandbox, these users can take advantage of the Oracle Metadata Services (MDS), add a key to a text resource bundle, and then type in their preferred label and its description (as a best practice for further work, I’d recommend always completing that description). Changing a simplified UI field label using Oracle Composer In Release 8, the UITE enables business users to easily change UI text on a much wider basis. As with composers, the UITE requires an activated sandbox where users can make their changes safely, before committing them for others to see. The UITE is used for editing UI text that comes from Oracle ADF resource bundles or from the Message Dictionary (or FND_MESSAGE_% tables, if you’re old enough to remember such things). Functionally, the Message Dictionary is used for the text that appears in business rule-type error, warning or information messages, or as a text source when ADF resource bundles cannot be used. In the UITE, these Message Dictionary texts are referred to as Multi-part Validation Messages.   If the text comes from ADF resource bundles, then it’s categorized as User Interface Text in the UITE. This category refers to the text that appears in embedded help in the UI or in simple error, warning, confirmation, or information messages. The embedded help types used in the application are explained in an Oracle Fusion Applications User Experience (UX) design pattern set. The message types have a UX design pattern set too. Using UITE  The UITE enables users to search and replace text in UI strings using case sensitive options, as well as by type. Users select singular and plural options for text changes, should they apply. Searching and replacing text in the UITE The UITE also provides users with a way to preview and manage changes on an exclusion basis, before committing to the final result. There might, for example, be situations where a phrase or word needs to remain different from how it’s generally used in the application, depending on the context. Previewing replacement text changes. Changes can be excluded where required. Multi-Part Messages The Message Dictionary table architecture has been inherited from Oracle E-Business Suite days. However, there are important differences in the Oracle Applications Cloud version, notably the additional message text components, as explained in the UX Design Patterns. Message Dictionary text has a broad range of uses as indicated, and it can also be reserved for internal application use, for use by PL/SQL and C programs, and so on. Message Dictionary text may even concatenate together at run time, where required. The UITE handles the flexibility of such text architecture by enabling users to drill down on each message and see how it’s constructed in total. That way, users can ensure that any text changes being made are consistent throughout the different message parts. Multi-part (Message Dictionary) message components in the UITE Message Dictionary messages may also use supportability-related numbers, the ones that appear appended to the message text in the application’s UI. However, should you have the requirement to remove these numbers from users' view, the UITE is not the tool for the job. Instead, see my blog about using the Manage Messages UI.

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  • Missing menu items for Azure SQL tables within SQL Server Management Studio?

    - by Sid
    I have a table (say Table1) that is replicated via SQL Data Sync Agent across a local SQL Server 2012 as well as an Azure SQL Server (part of Microsoft Azure). Everything about Table1 (schema, table values etc ) is identical to the best of my understanding. However, when I list and right click Table1 from Microsoft SQL Server Management Studio 2012 (SSMS), I get some very different menu options, even for seemingly basic stuff. Lets focus only on the 'Design' menu item: It is visible for Table1 on the local SQL server in SSMS It is missing for Table1 on Azure SQL via SSMS It is visible for Table1 (as Open Table Definition) on Azure SQL when reaching it via Visual Studio 2012 (Server Explorer - Data connections) This is seen in the screenshots below: Now I use scripts from some real stuff (esp when I need to check in the SQL scripts etc) but this difference concerns me to some extent. Am I witnessing just a tools artifact in SQL Server Management Studio when connecting to Azure SQL? or is it something more serious about limitations of Azure SQL itself (although, just seeing the Design surface is so basic!)?

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  • Ask the Readers: How Many Monitors Do You Use with Your Computer?

    - by Asian Angel
    Most people have a single monitor for their computers, many have two, and some individuals enjoy “3 monitor plus” goodness. This week we would like to know how many monitors you use with your computer. Photo by DamnedNice. A good majority of people have a single monitor that they use with their computers and that single monitor serves their needs very well. It could be that these individuals do not engage in a heavy amount of work or play on their computers…they just need to do the basics like checking e-mail, using I.M., working with photos, etc. Another possibility is the use of virtual desktop software such as Dexpot, Yodm 3D, or Sysinternals Desktops on Windows systems. Linux systems such as Ubuntu already have that wonderful multi-desktop functionality built in. The wonderful part about virtual desktops is that a single monitor can feel equivalent to a small army of monitors. The ability to separate your open windows into “categories” and spread them out across multiple desktops is definitely nice. With each passing year dual monitor setups are becoming more common. Having twice the screen real-estate visible at the same time can be extremely convenient when you are multi-tasking. Perhaps you like to monitor your system’s stats and an e-mail account on the second monitor while working with software on the first. It certainly beats having windows popping up and down on your screen constantly while keeping on top of everything! Next we have the people who have three or more monitors in use with their computers. This may be a result of the type of work they do, an experiment to see if multiple monitors are right for them, or the cool, geeky factor that comes with having all those monitors. Needless to say these individuals can induce a good amount of envy and/or inspiration in the rest of us when we see their awesome setups. Are you perfectly content with a single monitor? Do you have two or more monitors that you use? If you have two or more monitors are they actually that useful to you? Perhaps you are getting ready even now to add additional monitors to your system. Whatever your situation may be at the moment, let us know your thoughts (and possible multi-monitor plans) in the comments! How-To Geek Polls require Javascript. Please Click Here to View the Poll. Latest Features How-To Geek ETC How to Use the Avira Rescue CD to Clean Your Infected PC The Complete List of iPad Tips, Tricks, and Tutorials Is Your Desktop Printer More Expensive Than Printing Services? 20 OS X Keyboard Shortcuts You Might Not Know HTG Explains: Which Linux File System Should You Choose? HTG Explains: Why Does Photo Paper Improve Print Quality? Hidden Tracks Your Stolen Mac; Free Until End of January Why the Other Checkout Line Always Moves Faster World of Warcraft Theme for Windows 7 Ubuntu Font Family Now Available for Download Oh No! WikiLeaks Published Santa Claus’s Naughty List [Video] Remember the Milk Now Supports HTTPS Encryption for the Entire Session

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  • Slow Inserts SQL Server 2005

    - by Achilles
    I'm researching an issue with the following information: We had a logging table with about 90k records in it that had inserts taking several seconds(approximately 10 to 20s) in extreme cases. One of the columns of the table stores XML as the XML datatype. The XML isn't being parsed during the insert, just stored. We tried truncating the table assuming that the issue was related the number of records(althought 90k seemed "normal") and the inserts still are performing poorly. While I know there are other issues that can cloud the issue, what would be some "check this first" ideas that could help me debug this issue? Thanks for any suggestions and help in advance.

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  • What relational database system should I learn? [closed]

    - by acidzombie24
    At the moment i know sqlite (my favorite), mysql (its ok, i get annoyed) and i do not want to learn ms/t sql (it only allows one nullable row if the column is unique). I am thinking about learning a new database system. My requirements for it is Must allow multiple connections at once (read and write) All or data i choose must be ACID compliant Performance should be good. I have a 17gb table in one project. It should perform well on read and transactional writes. With mysql it took hours to restore it and there were no foreign keys on that specific table. It only finished in a workday because i found a suggestion to adjust a setting which i think was key-buffer. And it still took hours Unique columns that allow more then one row to be null. I shouldn't have to say it but dammit MS. Allows one to make ongoing backups. Something like 'binary logs'. Some relatively small amounts of data i can grab and apply it to my local db to have it in sync with the one on the server. Table joins. I rather not write a bunch of queries to simulate a join What I would like but is not required Foreign keys. This may be a requirement later Open sourced Fair tool support. So i can measure queries, easily backup/restore, etc .NET and C (or C++) interface. (I seen one that uses raw tcp with JSON which was okish) Good subquery support. Once i was working with an older version of mysql (i believe <5.1 but it could have been 5.1) and i had to write many queries to do one query because it couldn't do subqueries. Or maybe it couldnt do it efficiently and died bc of memory limitations with a huge dataset. What db system should i learn?

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  • EXEC() syntax error using ODBC

    - by Mike Trader
    I have written a little ETL application that I wish to run a few lines of TSQL from. If i enter a simple query like "SELECT * FROM MyTable" everything is fine. All single line commands run as expected. A multiline query like this is also fine: DECLARE @TableName NVARCHAR(MAX) set @TableName = 'MyTable' EXECute ( 'DROP TABLE '+ @TableName ) Howevery when I try and run: DECLARE @TableName NVARCHAR(MAX) OPEN Tables FETCH NEXT FROM Tables INTO @TableName WHILE @@FETCH_STATUS = 0 BEGIN EXEC( 'DROP TABLE ' + @TableName ) FETCH NEXT FROM Tables INTO @TableName END I get a syntax error after TABLE in the EXEC() call. I have spent 6 hours trying to figure this out thinking perhaps I need to escape the single quote or something. I just cannot see the problem. A set of fresh eyes would be appreciated.

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  • Use decorator and factory together to extend objects?

    - by TheClue
    I'm new to OOP and design pattern. I've a simple app that handles the generation of Tables, Columns (that belong to Table), Rows (that belong to Column) and Values (that belong to Rows). Each of these object can have a collection of Property, which is in turn defined as an enum. They are all interfaces: I used factories to get concrete instances of these products, depending on circumnstances. Now I'm facing the problem of extending these classes. Let's say I need another product called "SpecialTable" which in turn has some special properties or new methods like 'getSomethingSpecial' or an extended set of Property. The only way is to extend/specialize all my elements (ie. build a SpecialTableFactory, a SpecialTable interface and a SpecialTableImpl concrete)? What to do if, let's say, I plan to use standard methods like addRow(Column column, String name) that doesn't need to be specialized? I don't like the idea to inherit factories and interfaces, but since SpecialTable has more methods than Table i guess it cannot share the same factory. Am I wrong? Another question: if I need to define product properties at run time (a Table that is upgraded to SpecialTable at runtime), i guess i should use a decorator. Is it possible (and how) to combine both factory and decorator design? Is it better to use a State or Strategy pattern, instead?

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  • Where ORMs blur the lines between code and data, how do you decide what logic should be a stored procedure, and what should be coded?

    - by PhonicUK
    Take the following pseudocode: CreateInvoiceAndCalculate(ItemsAndQuantities, DispatchAddress, User); And say CreateInvoice does the following: Create a new entry in an Invoices table belonging to the specified User to be sent to the given DispatchAddress. Create a new entry in an InvoiceItems table for each of the items in ItemsAndQuantities, storing the Item, the Quantity, and the cost of the item as of now (by looking it up from an Items table) Calculate the total amount of the invoice (ex shipping and taxes) and store it in the new Invoice row. At a glace you wouldn't be able to tell if this was a method in my applications code, or a stored procedure in the database that is being exposed as a function by the ORM. And to some extent it doesn't really matter. Now technically none of this is business logic. You're not making any decisions - just performing a calculation and creating records. However some may argue that because you are performing a calculation that affects the business (the total amount to be invoiced) that this isn't something that should be done in a stored procedure and instead should be in code. So for this specific example - why would it be more appropriate to do one or the other? And where do you draw the line? Or does it even particular matter as long as it's sufficiently well documented?

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  • Search multiple tables

    - by gilden
    I have developed a web application that is used mainly for archiving all sorts of textual material (documents, references to articles, books, magazines etc.). There can be any given number of archive tables in my system, each with its own schema. The schema can be changed by a moderator through the application (imagine something similar to a really dumbed down version of phpMyAdmin). Users can search for anything from all of the tables. By using FULLTEXT indexes together with substring searching (fields which do not support FULLTEXT indexing) the script inserts the results of a search to a single table and by ordering these results by the similarity measure I can fairly easily return the paginated results. However, this approach has a few problems: substring searching can only count exact results the 50% rule applies to all tables separately and thus, mysql may not return important matches or too naively discards common words. is quite expensive in terms of query numbers and execution time (not an issue right now as there's not a lot of data yet in the tables). normalized data is not even searched for (I have different tables for categories, languages and file attatchments). My planned solution Create a single table having columns similar to id, table_id, row_id, data Every time a new row is created/modified/deleted in any of the data tables this central table also gets updated with the data column containing a concatenation of all the fields in a row. I could then create a single index for Sphinx and use it for doing searches instead. Are there any more efficient solutions or best practises how to approach this? Thanks.

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  • Excel conditional selection?

    - by Andrew
    I think this is a simple question. I have a big table of data points and I want to take a an average of a subset of a single column. For example, if A is "age" and B is "gender," what command could I use to calculate the average age of women in my table? I know I can do this by sorting the table by column B and then only selecting column A values, but I want to build up to much more complicated conditional terms (e.g. if A is 5 and B is 3 and C is 4, then give me the average of D). Thanks!

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  • Helping to Reduce Page Compression Failures Rate

    - by Vasil Dimov
    When InnoDB compresses a page it needs the result to fit into its predetermined compressed page size (specified with KEY_BLOCK_SIZE). When the result does not fit we call that a compression failure. In this case InnoDB needs to split up the page and try to compress again. That said, compression failures are bad for performance and should be minimized.Whether the result of the compression will fit largely depends on the data being compressed and some tables and/or indexes may contain more compressible data than others. And so it would be nice if the compression failure rate, along with other compression stats, could be monitored on a per table or even on a per index basis, wouldn't it?This is where the new INFORMATION_SCHEMA table in MySQL 5.6 kicks in. INFORMATION_SCHEMA.INNODB_CMP_PER_INDEX provides exactly this helpful information. It contains the following fields: +-----------------+--------------+------+ | Field | Type | Null | +-----------------+--------------+------+ | database_name | varchar(192) | NO | | table_name | varchar(192) | NO | | index_name | varchar(192) | NO | | compress_ops | int(11) | NO | | compress_ops_ok | int(11) | NO | | compress_time | int(11) | NO | | uncompress_ops | int(11) | NO | | uncompress_time | int(11) | NO | +-----------------+--------------+------+ similarly to INFORMATION_SCHEMA.INNODB_CMP, but this time the data is grouped by "database_name,table_name,index_name" instead of by "page_size".So a query like SELECT database_name, table_name, index_name, compress_ops - compress_ops_ok AS failures FROM information_schema.innodb_cmp_per_index ORDER BY failures DESC; would reveal the most problematic tables and indexes that have the highest compression failure rate.From there on the way to improving performance would be to try to increase the compressed page size or change the structure of the table/indexes or the data being stored and see if it will have a positive impact on performance.

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