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  • ADF Business Components

    - by Arda Eralp
    ADF Business Components and JDeveloper simplify the development, delivery, and customization of business applications for the Java EE platform. With ADF Business Components, developers aren't required to write the application infrastructure code required by the typical Java EE application to: Connect to the database Retrieve data Lock database records Manage transactions   ADF Business Components addresses these tasks through its library of reusable software components and through the supporting design time facilities in JDeveloper. Most importantly, developers save time using ADF Business Components since the JDeveloper design time makes typical development tasks entirely declarative. In particular, JDeveloper supports declarative development with ADF Business Components to: Author and test business logic in components which automatically integrate with databases Reuse business logic through multiple SQL-based views of data, supporting different application tasks Access and update the views from browser, desktop, mobile, and web service clients Customize application functionality in layers without requiring modification of the delivered application The goal of ADF Business Components is to make the business services developer more productive.   ADF Business Components provides a foundation of Java classes that allow your business-tier application components to leverage the functionality provided in the following areas: Simplifying Data Access Design a data model for client displays, including only necessary data Include master-detail hierarchies of any complexity as part of the data model Implement end-user Query-by-Example data filtering without code Automatically coordinate data model changes with business services layer Automatically validate and save any changes to the database   Enforcing Business Domain Validation and Business Logic Declaratively enforce required fields, primary key uniqueness, data precision-scale, and foreign key references Easily capture and enforce both simple and complex business rules, programmatically or declaratively, with multilevel validation support Navigate relationships between business domain objects and enforce constraints related to compound components   Supporting Sophisticated UIs with Multipage Units of Work Automatically reflect changes made by business service application logic in the user interface Retrieve reference information from related tables, and automatically maintain the information when the user changes foreign-key values Simplify multistep web-based business transactions with automatic web-tier state management Handle images, video, sound, and documents without having to use code Synchronize pending data changes across multiple views of data Consistently apply prompts, tooltips, format masks, and error messages in any application Define custom metadata for any business components to support metadata-driven user interface or application functionality Add dynamic attributes at runtime to simplify per-row state management   Implementing High-Performance Service-Oriented Architecture Support highly functional web service interfaces for business integration without writing code Enforce best-practice interface-based programming style Simplify application security with automatic JAAS integration and audit maintenance "Write once, run anywhere": use the same business service as plain Java class, EJB session bean, or web service   Streamlining Application Customization Extend component functionality after delivery without modifying source code Globally substitute delivered components with extended ones without modifying the application   ADF Business Components implements the business service through the following set of cooperating components: Entity object An entity object represents a row in a database table and simplifies modifying its data by handling all data manipulation language (DML) operations for you. These are basically your 1 to 1 representation of a database table. Each table in the database will have 1 and only 1 EO. The EO contains the mapping between columns and attributes. EO's also contain the business logic and validation. These are you core data services. They are responsible for updating, inserting and deleting records. The Attributes tab displays the actual mapping between attributes and columns, the mapping has following fields: Name : contains the name of the attribute we expose in our data model. Type : defines the data type of the attribute in our application. Column : specifies the column to which we want to map the attribute with Column Type : contains the type of the column in the database   View object A view object represents a SQL query. You use the full power of the familiar SQL language to join, filter, sort, and aggregate data into exactly the shape required by the end-user task. The attributes in the View Objects are actually coming from the Entity Object. In the end the VO will generate a query but you basically build a VO by selecting which EO need to participate in the VO and which attributes of those EO you want to use. That's why you have the Entity Usage column so you can see the relation between VO and EO. In the query tab you can clearly see the query that will be generated for the VO. At this stage we don't need it and just use it for information purpose. In later stages we might use it. Application module An application module is the controller of your data layer. It is responsible for keeping hold of the transaction. It exposes the data model to the view layer. You expose the VO's through the Application Module. This is the abstraction of your data layer which you want to show to the outside word.It defines an updatable data model and top-level procedures and functions (called service methods) related to a logical unit of work related to an end-user task. While the base components handle all the common cases through built-in behavior, customization is always possible and the default behavior provided by the base components can be easily overridden or augmented. When you create EO's, a foreign key will be translated into an association in our model. It defines the type of relation and who is the master and child as well as how the visibility of the association looks like. A similar concept exists to identify relations between view objects. These are called view links. These are almost identical as association except that a view link is based upon attributes defined in the view object. It can also be based upon an association. Here's a short summary: Entity Objects: representations of tables Association: Relations between EO's. Representations of foreign keys View Objects: Logical model View Links: Relationships between view objects Application Model: interface to your application  

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  • Microsoft Sql Server 2008 R2 System Databases

    For a majority of software developers little time is spent understanding the inner workings of the database management systems (DBMS) they use to store data for their applications.  I personally place myself in this grouping. In my case, I have used various versions of Microsoft’s SQL Server (2000, 2005, and 2008 R2) and just recently learned how valuable they really are when I was preparing to deliver a lecture on "SQL Server 2008 R2, System Databases". Microsoft Sql Server 2008 R2 System DatabasesSo what are system databases in MS SQL Server, and why should I know them? Microsoft uses system databases to support the SQL Server DBMS, much like a developer uses config files or database tables to support an application. These system databases individually provide specific functionality that allows MS SQL Server to function. Name Database File Log File Master master.mdf mastlog.ldf Resource mssqlsystemresource.mdf mssqlsystemresource.ldf Model model.mdf modellog.ldf MSDB msdbdata.mdf msdblog.ldf Distribution distmdl.mdf distmdl.ldf TempDB tempdb.mdf templog.ldf Master DatabaseIf you have used MS SQL Server then you should recognize the Master database especially if you used the SQL Server Management Studio (SSMS) to connect to a user created database. MS SQL Server requires the Master database in order for DBMS to start due to the information that it stores. Examples of data stored in the Master database User Logins Linked Servers Configuration information Information on User Databases Resource DatabaseHonestly, until recently I never knew this database even existed until I started to research SQL Server system databases. The reason for this is due largely to the fact that the resource database is hidden to users. In fact, the database files are stored within the Binn folder instead of the standard MS SQL Server database folder path. This database contains all system objects that can be accessed by all other databases.  In short, this database contains all system views and store procedures that appear in all other user databases regarding system information. One of the many benefits to storing system views and store procedures in a single hidden database is the fact it improves upgrading a SQL Server database; not to mention that maintenance is decreased since only one code base has to be mainlined for all of the system views and procedures. Model DatabaseThe Model database as the name implies is the model for all new databases created by users. This allows for predefining default database objects for all new databases within a MS SQL Server instance. For example, if every database created by a user needs to have an “Audit” table when it is  created then defining the “Audit” table in the model will guarantees that the table will be located in every new database create after the model is altered. MSDB DatabaseThe MSDBdatabase is used by SQL Server Agent, SQL Server Database Mail, SQL Server Service Broker, along with SQL Server. The SQL Server Agent uses this database to store job configurations and SQL job schedules along with SQL Alerts, and Operators. In addition, this database also stores all SQL job parameters along with each job’s execution history.  Finally, this database is also used to store database backup and maintenance plans as well as details pertaining to SQL Log shipping if it is being used. Distribution DatabaseThe Distribution database is only used during replication and stores meta data and history information pertaining to the act of replication data. Furthermore, when transactional replication is used this database also stores information regarding each transaction. It is important to note that replication is not turned on by default in MS SQL Server and that the distribution database is hidden from SSMS. Tempdb DatabaseThe Tempdb as the name implies is used to store temporary data and data objects. Examples of this include temp tables and temp store procedures. It is important to note that when using this database all data and data objects are cleared from this database when SQL Server restarts. This database is also used by SQL Server when it is performing some internal operations. Typically, SQL Server uses this database for the purpose of large sort and index operations. Finally, this database is used to store row versions if row versioning or snapsot isolation transactions are being used by SQL Server. Additionally, I would love to hear from others about their experiences using system databases, tables, and objects in a real world environments.

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  • Microsoft Sql Server 2008 R2 System Databases

    For a majority of software developers little time is spent understanding the inner workings of the database management systems (DBMS) they use to store data for their applications.  I personally place myself in this grouping. In my case, I have used various versions of Microsoft’s SQL Server (2000, 2005, and 2008 R2) and just recently learned how valuable they really are when I was preparing to deliver a lecture on "SQL Server 2008 R2, System Databases". Microsoft Sql Server 2008 R2 System DatabasesSo what are system databases in MS SQL Server, and why should I know them? Microsoft uses system databases to support the SQL Server DBMS, much like a developer uses config files or database tables to support an application. These system databases individually provide specific functionality that allows MS SQL Server to function. Name Database File Log File Master master.mdf mastlog.ldf Resource mssqlsystemresource.mdf mssqlsystemresource.ldf Model model.mdf modellog.ldf MSDB msdbdata.mdf msdblog.ldf Distribution distmdl.mdf distmdl.ldf TempDB tempdb.mdf templog.ldf Master DatabaseIf you have used MS SQL Server then you should recognize the Master database especially if you used the SQL Server Management Studio (SSMS) to connect to a user created database. MS SQL Server requires the Master database in order for DBMS to start due to the information that it stores. Examples of data stored in the Master database User Logins Linked Servers Configuration information Information on User Databases Resource DatabaseHonestly, until recently I never knew this database even existed until I started to research SQL Server system databases. The reason for this is due largely to the fact that the resource database is hidden to users. In fact, the database files are stored within the Binn folder instead of the standard MS SQL Server database folder path. This database contains all system objects that can be accessed by all other databases.  In short, this database contains all system views and store procedures that appear in all other user databases regarding system information. One of the many benefits to storing system views and store procedures in a single hidden database is the fact it improves upgrading a SQL Server database; not to mention that maintenance is decreased since only one code base has to be mainlined for all of the system views and procedures. Model DatabaseThe Model database as the name implies is the model for all new databases created by users. This allows for predefining default database objects for all new databases within a MS SQL Server instance. For example, if every database created by a user needs to have an “Audit” table when it is  created then defining the “Audit” table in the model will guarantees that the table will be located in every new database create after the model is altered. MSDB DatabaseThe MSDBdatabase is used by SQL Server Agent, SQL Server Database Mail, SQL Server Service Broker, along with SQL Server. The SQL Server Agent uses this database to store job configurations and SQL job schedules along with SQL Alerts, and Operators. In addition, this database also stores all SQL job parameters along with each job’s execution history.  Finally, this database is also used to store database backup and maintenance plans as well as details pertaining to SQL Log shipping if it is being used. Distribution DatabaseThe Distribution database is only used during replication and stores meta data and history information pertaining to the act of replication data. Furthermore, when transactional replication is used this database also stores information regarding each transaction. It is important to note that replication is not turned on by default in MS SQL Server and that the distribution database is hidden from SSMS. Tempdb DatabaseThe Tempdb as the name implies is used to store temporary data and data objects. Examples of this include temp tables and temp store procedures. It is important to note that when using this database all data and data objects are cleared from this database when SQL Server restarts. This database is also used by SQL Server when it is performing some internal operations. Typically, SQL Server uses this database for the purpose of large sort and index operations. Finally, this database is used to store row versions if row versioning or snapsot isolation transactions are being used by SQL Server. Additionally, I would love to hear from others about their experiences using system databases, tables, and objects in a real world environments.

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  • Developing Schema Compare for Oracle (Part 6): 9i Query Performance

    - by Simon Cooper
    All throughout the EAP and beta versions of Schema Compare for Oracle, our main request was support for Oracle 9i. After releasing version 1.0 with support for 10g and 11g, our next step was then to get version 1.1 of SCfO out with support for 9i. However, there were some significant problems that we had to overcome first. This post will concentrate on query execution time. When we first tested SCfO on a 9i server, after accounting for various changes to the data dictionary, we found that database registration was taking a long time. And I mean a looooooong time. The same database that on 10g or 11g would take a couple of minutes to register would be taking upwards of 30 mins on 9i. Obviously, this is not ideal, so a poke around the query execution plans was required. As an example, let's take the table population query - the one that reads ALL_TABLES and joins it with a few other dictionary views to get us back our list of tables. On 10g, this query takes 5.6 seconds. On 9i, it takes 89.47 seconds. The difference in execution plan is even more dramatic - here's the (edited) execution plan on 10g: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 108K| 939 || 1 | SORT ORDER BY | | 108K| 939 || 2 | NESTED LOOPS OUTER | | 108K| 938 ||* 3 | HASH JOIN RIGHT OUTER | | 103K| 762 || 4 | VIEW | ALL_EXTERNAL_LOCATIONS | 2058 | 3 ||* 20 | HASH JOIN RIGHT OUTER | | 73472 | 759 || 21 | VIEW | ALL_EXTERNAL_TABLES | 2097 | 3 ||* 34 | HASH JOIN RIGHT OUTER | | 39920 | 755 || 35 | VIEW | ALL_MVIEWS | 51 | 7 || 58 | NESTED LOOPS OUTER | | 39104 | 748 || 59 | VIEW | ALL_TABLES | 6704 | 668 || 89 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2025 | 5 || 106 | VIEW | ALL_PART_TABLES | 277 | 11 |------------------------------------------------------------------------------- And the same query on 9i: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 16P| 55G|| 1 | SORT ORDER BY | | 16P| 55G|| 2 | NESTED LOOPS OUTER | | 16P| 862M|| 3 | NESTED LOOPS OUTER | | 5251G| 992K|| 4 | NESTED LOOPS OUTER | | 4243M| 2578 || 5 | NESTED LOOPS OUTER | | 2669K| 1440 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 ||* 50 | VIEW PUSHED PREDICATE | ALL_TAB_COMMENTS | 2043 | ||* 66 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_TABLES | 1777K| ||* 80 | VIEW PUSHED PREDICATE | ALL_EXTERNAL_LOCATIONS | 1744K| ||* 96 | VIEW | ALL_PART_TABLES | 852K| |------------------------------------------------------------------------------- Have a look at the cost column. 10g's overall query cost is 939, and 9i is 55,000,000,000 (or more precisely, 55,496,472,769). It's also having to process far more data. What on earth could be causing this huge difference in query cost? After trawling through the '10g New Features' documentation, we found item 1.9.2.21. Before 10g, Oracle advised that you do not collect statistics on data dictionary objects. From 10g, it advised that you do collect statistics on the data dictionary; for our queries, Oracle therefore knows what sort of data is in the dictionary tables, and so can generate an efficient execution plan. On 9i, no statistics are present on the system tables, so Oracle has to use the Rule Based Optimizer, which turns most LEFT JOINs into nested loops. If we force 9i to use hash joins, like 10g, we get a much better plan: -------------------------------------------------------------------------------| Id | Operation | Name | Bytes | Cost |-------------------------------------------------------------------------------| 0 | SELECT STATEMENT | | 7587K| 3704 || 1 | SORT ORDER BY | | 7587K| 3704 ||* 2 | HASH JOIN OUTER | | 7587K| 822 ||* 3 | HASH JOIN OUTER | | 5262K| 616 ||* 4 | HASH JOIN OUTER | | 2980K| 465 ||* 5 | HASH JOIN OUTER | | 710K| 432 ||* 6 | HASH JOIN OUTER | | 398K| 302 || 7 | VIEW | ALL_TABLES | 342K| 276 || 29 | VIEW | ALL_MVIEWS | 51 | 20 || 50 | VIEW | ALL_PART_TABLES | 852K| 104 || 78 | VIEW | ALL_TAB_COMMENTS | 2043 | 14 || 93 | VIEW | ALL_EXTERNAL_LOCATIONS | 1744K| 31 || 106 | VIEW | ALL_EXTERNAL_TABLES | 1777K| 28 |------------------------------------------------------------------------------- That's much more like it. This drops the execution time down to 24 seconds. Not as good as 10g, but still an improvement. There are still several problems with this, however. 10g introduced a new join method - a right outer hash join (used in the first execution plan). The 9i query optimizer doesn't have this option available, so forcing a hash join means it has to hash the ALL_TABLES table, and furthermore re-hash it for every hash join in the execution plan; this could be thousands and thousands of rows. And although forcing hash joins somewhat alleviates this problem on our test systems, there's no guarantee that this will improve the execution time on customers' systems; it may even increase the time it takes (say, if all their tables are partitioned, or they've got a lot of materialized views). Ideally, we would want a solution that provides a speedup whatever the input. To try and get some ideas, we asked some oracle performance specialists to see if they had any ideas or tips. Their recommendation was to add a hidden hook into the product that allowed users to specify their own query hints, or even rewrite the queries entirely. However, we would prefer not to take that approach; as well as a lot of new infrastructure & a rewrite of the population code, it would have meant that any users of 9i would have to spend some time optimizing it to get it working on their system before they could use the product. Another approach was needed. All our population queries have a very specific pattern - a base table provides most of the information we need (ALL_TABLES for tables, or ALL_TAB_COLS for columns) and we do a left join to extra subsidiary tables that fill in gaps (for instance, ALL_PART_TABLES for partition information). All the left joins use the same set of columns to join on (typically the object owner & name), so we could re-use the hash information for each join, rather than re-hashing the same columns for every join. To allow us to do this, along with various other performance improvements that could be done for the specific query pattern we were using, we read all the tables individually and do a hash join on the client. Fortunately, this 'pure' algorithmic problem is the kind that can be very well optimized for expected real-world situations; as well as storing row data we're not using in the hash key on disk, we use very specific memory-efficient data structures to store all the information we need. This allows us to achieve a database population time that is as fast as on 10g, and even (in some situations) slightly faster, and a memory overhead of roughly 150 bytes per row of data in the result set (for schemas with 10,000 tables in that means an extra 1.4MB memory being used during population). Next: fun with the 9i dictionary views.

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  • Dynamic Class Inheritance For PHP

    - by VirtuosiMedia
    I have a situation where I think I might need dynamic class inheritance in PHP 5.3, but the idea doesn't sit well and I'm looking for a different design pattern to solve my problem if it's possible. Use Case I have a set of DB abstraction layer classes that dynamically compiles SQL queries, with one DAL class for each DB type (MySQL, MsSQL, Oracle, etc.). Each table in the database has its own class that extends the appropriate DAL class. The idea is that you interact with the table classes, but never directly use the DAL class. If you want to support a different DB type for your app, you don't need to rewrite any queries or even any code, you simply change a setting that swaps one DAL class out for another...and that's it. To give you a better idea of how this is used, you can take a look at the DAL class, the table classes, and how they are used on this StackExchange Code Review page. To really understand what I'm trying to do, please take a look at my implementation first before suggesting a solution. Issues The strategy that I had used previously was to have all of the DAL classes share the same class name. This eliminated autoloading, so I had to manually load the appropriate DAL class in a switch statement. However, this approach presents some problems for testing and documentation purposes, so I'd like to find a different way to solve the problem of loading the correct DAL class more elegantly. Update to clarify the issue The problem basically boils down to inconsistencies in the class name (pre-PHP 5.3) or class namespace (PHP 5.3) and its location in the directory structure. At this point, all of my DAL classes have the same name, DBObject, but reside in different folders, MySQL, Oracle, etc. My table classes all extend DBObject, but which DBObject they extend varies depending on which one has been loaded. Basically, I'm trying to have my cake and eat it too. The table classes act as a stable API and extend a dynamic backend, the DAL (DBObject) classes. It works great, but I outsmarted myself and because of the inconsistencies with the class names and their locations, I can't autoload the DBObject, which makes running unit tests and generating API docs impossible for the DBObject classes because the tests and docs rely on auto-loading. Just loading the appropriate DBObject into memory using a factory method won't work because there will be times when I need to load multiple DBObjects for testing. Because the classes currently share a name, this causes a class is already defined error. I can make exceptions for the DBObjects in my test code, obviously, but I'm looking for something a little less hacky as there may future instances where something similar would need to be done. Solutions? Worst case scenario, I can continue my current strategy, but I don't like it very much, especially as I'll soon be converting my code to PHP 5.3. I suspect that I can use some sort of dynamic inheritance via either namespaces (preferred) or a dynamic class extension, but I haven't been able to find good examples of this implemented in the wild. In your answers, please suggest either an alternate pattern that would work for this use case or an example of dynamic inheritance done right. Please assume PHP 5.3 with namespaced code. Any code examples are greatly encouraged. The preferred constraints for the solution are: DAL class can be autoloaded. DAL classes don't share the same exact same namespace, but share the same class name. As an example, I would prefer to use classes named DbObject that use namespaces like Vm\Db\MySql and Vm\Db\Oracle. Table classes don't have to be rewritten with a change in DB type. The appropriate DB type is determined via a single setting only. That setting is the only thing that should need to change to interchange DB types. Ideally, the setting check should occur only once per page load, but I'm flexible on that.

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  • October 2012 Critical Patch Update and Critical Patch Update for Java SE Released

    - by Eric P. Maurice
    Hi, this is Eric Maurice. Oracle has just released the October 2012 Critical Patch Update and the October 2012 Critical Patch Update for Java SE.  As a reminder, the release of security patches for Java SE continues to be on a different schedule than for other Oracle products due to commitments made to customers prior to the Oracle acquisition of Sun Microsystems.  We do however expect to ultimately bring Java SE in line with the regular Critical Patch Update schedule, thus increasing the frequency of scheduled security releases for Java SE to 4 times a year (as opposed to the current 3 yearly releases).  The schedules for the “normal” Critical Patch Update and the Critical Patch Update for Java SE are posted online on the Critical Patch Updates and Security Alerts page. The October 2012 Critical Patch Update provides a total of 109 new security fixes across a number of product families including: Oracle Database Server, Oracle Fusion Middleware, Oracle E-Business Suite, Supply Chain Products Suite, Oracle PeopleSoft Enterprise, Oracle Customer Relationship Management (CRM), Oracle Industry Applications, Oracle FLEXCUBE, Oracle Sun products suite, Oracle Linux and Virtualization, and Oracle MySQL. Out of these 109 new vulnerabilities, 5 affect Oracle Database Server.  The most severe of these Database vulnerabilities has received a CVSS Base Score of 10.0 on Windows platforms and 7.5 on Linux and Unix platforms.  This vulnerability (CVE-2012-3137) is related to the “Cryptographic flaws in Oracle Database authentication protocol” disclosed at the Ekoparty Conference.  Because of timing considerations (proximity to the release date of the October 2012 Critical Patch Update) and the need to extensively test the fixes for this vulnerability to ensure compatibility across the products stack, the fixes for this vulnerability were not released through a Security Alert, but instead mitigation instructions were provided prior to the release of the fixes in this Critical Patch Update in My Oracle Support Note 1492721.1.  Because of the severity of these vulnerabilities, Oracle recommends that this Critical Patch Update be installed as soon as possible. Another 26 vulnerabilities fixed in this Critical Patch Update affect Oracle Fusion Middleware.  The most severe of these Fusion Middleware vulnerabilities has received a CVSS Base Score of 10.0; it affects Oracle JRockit and is related to Java vulnerabilities fixed in the Critical Patch Update for Java SE.  The Oracle Sun products suite gets 18 new security fixes with this Critical Patch Update.  Note also that Oracle MySQL has received 14 new security fixes; the most severe of these MySQL vulnerabilities has received a CVSS Base Score of 9.0. Today’s Critical Patch Update for Java SE provides 30 new security fixes.  The most severe CVSS Base Score for these Java SE vulnerabilities is 10.0 and this score affects 10 vulnerabilities.  As usual, Oracle reports the most severe CVSS Base Score, and these CVSS 10.0s assume that the user running a Java Applet or Java Web Start application has administrator privileges (as is typical on Windows XP). However, when the user does not run with administrator privileges (as is typical on Solaris and Linux), the corresponding CVSS impact scores for Confidentiality, Integrity, and Availability are "Partial" instead of "Complete", typically lowering the CVSS Base Score to 7.5 denoting that the compromise does not extend to the underlying Operating System.  Also, as is typical in the Critical Patch Update for Java SE, most of the vulnerabilities affect Java and Java FX client deployments only.  Only 2 of the Java SE vulnerabilities fixed in this Critical Patch Update affect client and server deployments of Java SE, and only one affects server deployments of JSSE.  This reflects the fact that Java running on servers operate in a more secure and controlled environment.  As discussed during a number of sessions at JavaOne, Oracle is considering security enhancements for Java in desktop and browser environments.  Finally, note that the Critical Patch Update for Java SE is cumulative, in other words it includes all previously released security fixes, including the fix provided through Security Alert CVE-2012-4681, which was released on August 30, 2012. For More Information: The October 2012 Critical Patch Update advisory is located at http://www.oracle.com/technetwork/topics/security/cpuoct2012-1515893.html The October 2012 Critical Patch Update for Java SE advisory is located at http://www.oracle.com/technetwork/topics/security/javacpuoct2012-1515924.html.  An online video about the importance of keeping up with Java releases and the use of the Java auto update is located at http://medianetwork.oracle.com/video/player/1218969104001 More information about Oracle Software Security Assurance is located at http://www.oracle.com/us/support/assurance/index.html  

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  • Certify October Updates

    - by Sadia2
    Normal 0 false false false EN-US X-NONE X-NONE We have added some release and platform certifications to MOS Certify. Applications: Oracle Demantra 12.2.2 Collaboration Technologies: Oracle On Track Communication 1.0.0.0.0 Database : Oracle Database 11.2.0.4.0, Oracle Database Client 11.2.0.4.0, 11.2.0.3.0, Oracle Clusterware 12.1.0.1.0, 11.2.0.4.0, Oracle Real Application Clusters 12.1.0.1.0, 11.2.0.4.0, Oracle TimesTen In-Memory Database 11.2.2.5.0, Oracle Audit Vault and Database Firewall 12.1.1.0.0, Oracle Database Client 10.2.0.5, Oracle Secure Enterprise Search 11.2.2.2.0 E-Business Suite: Oracle E-Business Suite 12.2.2, 12.1.3, 12.1.2, 12.1.1, 12.0.4, 11.5.10.2, 11.5.9.2 Edge Applications: Oracle Transportation Management 6.3.2 Enterprise Manager: Enterprise Manager Base Platform – OMS 12.1.0.3.0 FSGBU Insurance Group: Oracle Health Insurance Back Office 10.13.2.0.0 Fusion Middleware: Oracle Application Development Framework 11.1.1.6.0, Oracle Business Intelligence Enterprise Edition 11.1.1.7.0, Oracle BI Answers 11.1.1.7.0, Oracle BI Composer 11.1.1.7.0, Oracle BI Presentation Services 11.1.1.7.0, Oracle BI Delivers 11.1.1.7.0, Oracle BI Interactive Dashboards 11.1.1.7.0, Oracle BI Scorecard and Strategy Management 11.1.1.7.0, Oracle BI Catalog Manager 11.1.1.7.0, Oracle BI Search 11.1.1.7.0, Oracle BIP Enterprise 11.1.1.7.0, Oracle BIP Scheduler 11.1.1.7.0, Oracle Real-Time Decision Center 11.1.1.7.0, Oracle Segmentation Server 11.1.1.7.0, Oracle JRE 1.7.0_45, 1.7.0_40, 1.7.0_25, 1.7.0_21, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.7.0_10, 1.6.0_65, 1.6.0_26, Oracle JDK 1.7.0_45, 1.7.0_25, 1.7.0_17, 1.7.0_15, 1.7.0_13, 1.7.0_11, 1.6.0_65, 1.6.0_41, 1.6.0_26, Oracle Discoverer 11.1.1.7.0, 11.1.1.6.0, Discoverer Administrator 11.1.1.7.0, 11.1.1.6.0, Discoverer Desktop 11.1.1.7.0, 11.1.1.6.0, Oracle GoldenGate 12.1.2.0.0, Oracle GoldenGate Director 12.1.2.0.0, Java 1.7.0_10, Oracle Fusion Middleware 12.1.2.0.0, Oracle Data Integrator Agent 12.1.2.0.0, Oracle Data Integrator Studio 12.1.2.0.0, Oracle Data Integrator Console 12.1.2.0.0 JD Edwards EnterpriseOne: JD Edwards EnterpriseOne Enterprise Server 9.1.3.0, JD Edwards EnterpriseOne One View Reporting 9.1.3.0, JD Edwards EnterpriseOne Mobile Applications 9.0.2.0, 9.0.0.0, 9.1.2.0, JD Edwards EnterpriseOne for iPad 1.0.0.0 Linux & Server Virtualization (x86): Oracle VM Server for x86 3.2.6.0.0, 3.2.4.0.0, 3.2.3.0.0, 3.2.2.0.0, 3.2.1.0.0 MySQL: MySQL Database Server 5.6, 5.5, MySQL Cluster 7.3, 7.2, 7.1 Oracle Fusion Applications : Oracle Fusion Applications 11.1.7.0.0, 11.1.6.0.0, 11.1.5.0.0, 11.1.4.0.0 PeopleSoft: PeopleSoft PeopleTools 8.53, 8.52, 8.51, 8.5 Primavera GBU: Primavera Project Portfolio Mgmt 6.2.1, Primavera P6 Enterprise Project Portfolio Management 8.3.0.0.0 Siebel Enterprise: Siebel Application Server 8.2.2.4.0, 8.2.2.3.0, 8.2.2.2.0, 8.1.1.11.0, 8.1.1.10.0, 8.1.1.9.0, Siebel Database Server 8.2.2.4.0, 8.1.1.11.0 Siebel Web Server Extension 8.1.1.10.0 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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  • Oracle EMEA News Digest - May 2014

    - by Steve Walker
    Systems Oracle introduced a technology preview of an OpenStack® distribution that allows Oracle Linux and Oracle VM users to work with the open source cloud software. This provides customers with additional choices and interoperability while taking advantage of the efficiency, performance, scalability, and security of Oracle Linux and Oracle VM. The distribution is delivered as part of the Oracle Linux and Oracle VM Premier Support offerings, at no additional cost. Oracle plans to work further with the OpenStack community to develop and enhance its enterprise-class capabilities to meet customer demands. Also in the Open Source arena, Oracle announced the general availability of MySQL Fabric. MySQL Fabric provides an integrated system that makes it simpler to manage groups of MySQL databases. It delivers both high availability - via failure detection and failover - and scalability through automated data sharding. Oracle Database, Middleware and Technology The company made two announcements for Oracle Tuxedo, the #1 application server for C, C++, COBOL and Java deployments in private cloud or traditional data center environments. With enhanced management and monitoring features and tighter integration with Oracle technologies, the latest release of Oracle Tuxedo 12c enables organizations to dramatically increase application throughput, while reducing total cost of ownership and time to market for new application development and deployment. Oracle also introduced the latest release of its mainframe application rehosting platform, Oracle Tuxedo ART 12c, to help organizations speed up migration projects and accelerate the adoption of the new environment by current IT staff. It enables organizations to accelerate the rehosting of IBM mainframe applications and greatly enhance management and supportability of the rehosted applications while reducing costs and risk. Applications According to new Oracle studies, B2B and B2C commerce professionals find integrated, omni-channel customer experiences increasingly valuable to their organizations, and are continuing to invest in technologies and digital content strategies to facilitate them. The studies—one for B2B and one for B2C—surveyed e-commerce professionals in business and technology departments from around the world. Although the priorities, success metrics, and technology investments differed between the two groups, customer acquisition and retention emerged as common themes across B2B and B2C. Growing market share and enhancing customer experience are cited as top investment areas for all e-commerce professionals. In product news, Oracle announced the latest release of Oracle Business Intelligence (BI) Applications (version 11.1.1.8.1, in case anyone asks). It includes prebuilt connectors between Oracle Procurement and Spend Analytics and Oracle’s JD Edwards. Additionally, a new Oracle Human Resources Analytics module for developing and maintaining a skilled workforce has been introduced. In use at more than 4,000 companies worldwide, Oracle BI Applications support leading enterprise applications, including Oracle E-Business Suite, Oracle’s PeopleSoft, Oracle's Siebel CRM, Oracle’s JD Edwards EnterpriseOne offering high-performing analytics at a lower cost. Industries For the Communications Industry, Oracle has launched a new release of the Oracle Communications Core Session Manager. This gives CSPs a new way to design, deploy and manage complex networking services and embrace next-generation technology, It provides them with an immediate entry point for  network function virtualization (NFV) efforts, allowing them to realize immediate benefits associated with network virtualization – including increased service agility and improved network resource sharing. And for the Utilities Industry, Oracle is releasing solutions with new business features and enhanced technical architecture that help position utilities for success now and into the future. Oracle has provided new releases for its customer information system,  meter data management system, customer self-service solution and mobile workforce management solution.

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  • EM12c: Using the LIST verb in emcli

    - by SubinDaniVarughese
    Many of us who use EM CLI to write scripts and automate our daily tasks should not miss out on the new list verb released with Oracle Enterprise Manager 12.1.0.3.0. The combination of list and Jython based scripting support in EM CLI makes it easier to achieve automation for complex tasks with just a few lines of code. Before I jump into a script, let me highlight the key attributes of the list verb and why it’s simply excellent! 1. Multiple resources under a single verb:A resource can be set of users or targets, etc. Using the list verb, you can retrieve information about a resource from the repository database.Here is an example which retrieves the list of administrators within EM.Standard mode$ emcli list -resource="Administrators" Interactive modeemcli>list(resource="Administrators")The output will be the same as standard mode.Standard mode$ emcli @myAdmin.pyEnter password :  ******The output will be the same as standard mode.Contents of myAdmin.py scriptlogin()print list(resource="Administrators",jsonout=False).out()To get a list of all available resources use$ emcli list -helpWith every release of EM, more resources are being added to the list verb. If you have a resource which you feel would be valuable then go ahead and contact Oracle Support to log an enhancement request with product development. Be sure to say how the resource is going to help improve your daily tasks. 2. Consistent Formatting:It is possible to format the output of any resource consistently using these options:  –column  This option is used to specify which columns should be shown in the output. Here is an example which shows the list of administrators and their account status$ emcli list -resource="Administrators" -columns="USER_NAME,REPOS_ACCOUNT_STATUS" To get a list of columns in a resource use:$ emcli list -resource="Administrators" -help You can also specify the width of the each column. For example, here the column width of user_type is set to 20 and department to 30. $ emcli list -resource=Administrators -columns="USER_NAME,USER_TYPE:20,COST_CENTER,CONTACT,DEPARTMENT:30"This is useful if your terminal is too small or you need to fine tune a list of specific columns for your quick use or improved readability.  –colsize  This option is used to resize column widths.Here is the same example as above, but using -colsize to define the width of user_type to 20 and department to 30.$ emcli list -resource=Administrators -columns="USER_NAME,USER_TYPE,COST_CENTER,CONTACT,DEPARTMENT" -colsize="USER_TYPE:20,DEPARTMENT:30" The existing standard EMCLI formatting options are also available in list verb. They are: -format="name:pretty" | -format="name:script” | -format="name:csv" | -noheader | -scriptThere are so many uses depending on your needs. Have a look at the resources and columns in each resource. Refer to the EMCLI book in EM documentation for more information.3. Search:Using the -search option in the list verb makes it is possible to search for a specific row in a specific column within a resource. This is similar to the sqlplus where clause. The following operators are supported:           =           !=           >           <           >=           <=           like           is (Must be followed by null or not null)Here is an example which searches for all EM administrators in the marketing department located in the USA.$emcli list -resource="Administrators" -search="DEPARTMENT ='Marketing'" -search="LOCATION='USA'" Here is another example which shows all the named credentials created since a specific date.  $emcli list -resource=NamedCredentials -search="CredCreatedDate > '11-Nov-2013 12:37:20 PM'"Note that the timestamp has to be in the format DD-MON-YYYY HH:MI:SS AM/PM Some resources need a bind variable to be passed to get output. A bind variable is created in the resource and then referenced in the command. For example, this command will list all the default preferred credentials for target type oracle_database.Here is an example$ emcli list -resource="PreferredCredentialsDefault" -bind="TargetType='oracle_database'" -colsize="SetName:15,TargetType:15" You can provide multiple bind variables. To verify if a column is searchable or requires a bind variable, use the –help option. Here is an example:$ emcli list -resource="PreferredCredentialsDefault" -help 4. Secure accessWhen list verb collects the data, it only displays content for which the administrator currently logged into emcli, has access. For example consider this usecase:AdminA has access only to TargetA. AdminA logs into EM CLIExecuting the list verb to get the list of all targets will only show TargetA.5. User defined SQLUsing the –sql option, user defined sql can be executed. The SQL provided in the -sql option is executed as the EM user MGMT_VIEW, which has read-only access to the EM published MGMT$ database views in the SYSMAN schema. To get the list of EM published MGMT$ database views, go to the Extensibility Programmer's Reference book in EM documentation. There is a chapter about Using Management Repository Views. It’s always recommended to reference the documentation for the supported MGMT$ database views.  Consider you are using the MGMT$ABC view which is not in the chapter. During upgrade, it is possible, since the view was not in the book and not supported, it is likely the view might undergo a change in its structure or the data in it. Using a supported view ensures that your scripts using -sql will continue working after upgrade.Here’s an example  $ emcli list -sql='select * from mgmt$target' 6. JSON output support    JSON (JavaScript Object Notation) enables data to be displayed in a collection of name/value pairs. There is lot of reading material about JSON on line for more information.As an example, we had a requirement where an EM administrator had many 11.2 databases in their test environment and the developers had requested an Administrator to change the lifecycle status from Test to Production which meant the admin had to go to the EM “All targets” page and identify the set of 11.2 databases and then to go into each target database page and manually changes the property to Production. Sounds easy to say, but this Administrator had numerous targets and this task is repeated for every release cycle.We told him there is an easier way to do this with a script and he can reuse the script whenever anyone wanted to change a set of targets to a different Lifecycle status. Here is a jython script which uses list and JSON to change all 11.2 database target’s LifeCycle Property value.If you are new to scripting and Jython, I would suggest visiting the basic chapters in any Jython tutorials. Understanding Jython is important to write the logic depending on your usecase.If you are already writing scripts like perl or shell or know a programming language like java, then you can easily understand the logic.Disclaimer: The scripts in this post are subject to the Oracle Terms of Use located here.  1 from emcli import *  2  search_list = ['PROPERTY_NAME=\'DBVersion\'','TARGET_TYPE= \'oracle_database\'','PROPERTY_VALUE LIKE \'11.2%\'']  3 if len(sys.argv) == 2:  4    print login(username=sys.argv[0])  5    l_prop_val_to_set = sys.argv[1]  6      l_targets = list(resource="TargetProperties", search=search_list,   columns="TARGET_NAME,TARGET_TYPE,PROPERTY_NAME")  7    for target in l_targets.out()['data']:  8       t_pn = 'LifeCycle Status'  9      print "INFO: Setting Property name " + t_pn + " to value " +       l_prop_val_to_set + " for " + target['TARGET_NAME']  10      print  set_target_property_value(property_records=      target['TARGET_NAME']+":"+target['TARGET_TYPE']+":"+      t_pn+":"+l_prop_val_to_set)  11  else:  12   print "\n ERROR: Property value argument is missing"  13   print "\n INFO: Format to run this file is filename.py <username>   <Database Target LifeCycle Status Property Value>" You can download the script from here. I could not upload the file with .py extension so you need to rename the file to myScript.py before executing it using emcli.A line by line explanation for beginners: Line  1 Imports the emcli verbs as functions  2 search_list is a variable to pass to the search option in list verb. I am using escape character for the single quotes. In list verb to pass more than one value for the same option, you should define as above comma separated values, surrounded by square brackets.  3 This is an “if” condition to ensure the user does provide two arguments with the script, else in line #15, it prints an error message.  4 Logging into EM. You can remove this if you have setup emcli with autologin. For more details about setup and autologin, please go the EM CLI book in EM documentation.  5 l_prop_val_to_set is another variable. This is the property value to be set. Remember we are changing the value from Test to Production. The benefit of this variable is you can reuse the script to change the property value from and to any other values.  6 Here the output of the list verb is stored in l_targets. In the list verb I am passing the resource as TargetProperties, search as the search_list variable and I only need these three columns – target_name, target_type and property_name. I don’t need the other columns for my task.  7 This is a for loop. The data in l_targets is available in JSON format. Using the for loop, each pair will now be available in the ‘target’ variable.  8 t_pn is the “LifeCycle Status” variable. If required, I can have this also as an input and then use my script to change any target property. In this example, I just wanted to change the “LifeCycle Status”.  9 This a message informing the user the script is setting the property value for dbxyz.  10 This line shows the set_target_property_value verb which sets the value using the property_records option. Once it is set for a target pair, it moves to the next one. In my example, I am just showing three dbs, but the real use is when you have 20 or 50 targets. The script is executed as:$ emcli @myScript.py subin Production The recommendation is to first test the scripts before running it on a production system. We tested on a small set of targets and optimizing the script for fewer lines of code and better messaging.For your quick reference, the resources available in Enterprise Manager 12.1.0.4.0 with list verb are:$ emcli list -helpWatch this space for more blog posts using the list verb and EM CLI Scripting use cases. I hope you enjoyed reading this blog post and it has helped you gain more information about the list verb. Happy Scripting!!Disclaimer: The scripts in this post are subject to the Oracle Terms of Use located here. Stay Connected: Twitter | Facebook | YouTube | Linkedin | Newsletter mt=8">Download the Oracle Enterprise Manager 12c Mobile app

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  • Thrift,.NET,Cassandra - Is this is right combination?

    - by Vadi
    I've been evaluating technology stack for developing a social network based application. Below are the stack I think could well suitable for this application type of application: GUI -- ASP.NET MVC, Flash (Flex) Business Services -- Thrift based services One of the advantage of using Thrift is to solve scaling problems that will come in future when the user base increases rapidly. All the business logic can be exposed as a services using REST,JSON etc., This also allows us to go with C++ or Erlang based services when situation demands. Database -- mySQL, CasSandara mySQL can be used for storing the data which needs to be persisted. Cassandara will be used for storing global identifiers to the persisted data. Since Cassandara is also very good at scaling by introducing more nodes this will leverage Thrift based services as well. And also there is native support between Cassandara and Thrift Cache Server -- Memcached Any requests from Business Services will only talk to Memcached if any non-dirty data is required, otherwise there will be some background jobs that will invalidate the cache from database. The question is: Is the Thrift which is open-sourced one is production-ready? Is it the right stack for services layer to choose when the application (GUI) is primarily gets developed in ASP.NET and DB is mysql? Is there any other caveats that anyone here experienced? One of the main objective behind this stack is to easily scale up with more nodes and also this helps us to use Linux boxes, it will reduce our cost significantly Thoughts please ..

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  • JPA merge fails due to duplicate key

    - by wobblycogs
    I have a simple entity, Code, that I need to persist to a MySQL database. public class Code implements Serializable { @Id private String key; private String description; ...getters and setters... } The user supplies a file full of key, description pairs which I read, convert to Code objects and then insert in a single transaction using em.merge(code). The file will generally have duplicate entries which I deal with by first adding them to a map keyed on the key field as I read them in. A problem arises though when keys differ only by case (for example: XYZ and XyZ). My map will, of course, contain both entries but during the merge process MySQL sees the two keys as being the same and the call to merge fails with a MySQLIntegrityConstraintViolationException. I could easily fix this by uppercasing the keys as I read them in but I'd like to understand exactly what is going wrong. The conclusion I have come to is that JPA considers XYZ and XyZ to be different keys but MySQL considers them to be the same. As such when JPA checks its list of known keys (or does whatever it does to determine whether it needs to perform an insert or update) it fails to find the previous insert and issuing another which then fails. Is this corrent? Is there anyway round this other than better filtering the client data? I haven't defined .equals or .hashCode on the Code class so perhaps this is the problem.

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  • Newly installed Ruby gems not showing up in $LOAD_PATH

    - by randombits
    I'm using MacPorts in order to manage my Ruby/Rails/Gems installations. Recently after doing a gem install wirble, wirble fails to load when I start an instance of irb. Here's the output: $ irb --simple-prompt Couldn't load Wirble: no such file to load -- wirble The Wirble gem doesn't show up in my $LOAD_PATH: >> puts $: /opt/local/lib/ruby1.9/gems/1.9.1/gems/actionmailer-2.3.5/lib /opt/local/lib/ruby1.9/gems/1.9.1/gems/actionpack-2.3.5/lib /opt/local/lib/ruby1.9/gems/1.9.1/gems/activerecord-2.3.5/lib /opt/local/lib/ruby1.9/gems/1.9.1/gems/activeresource-2.3.5/lib /opt/local/lib/ruby1.9/gems/1.9.1/gems/activesupport-2.3.5/lib /opt/local/lib/ruby1.9/gems/1.9.1/gems/mysql-2.8.1/lib /opt/local/lib/ruby1.9/gems/1.9.1/gems/mysql-2.8.1/ext /opt/local/lib/ruby1.9/gems/1.9.1/gems/mysql-2.8.1/bin /opt/local/lib/ruby1.9/gems/1.9.1/gems/rack-1.0.1/bin /opt/local/lib/ruby1.9/gems/1.9.1/gems/rack-1.0.1/lib /opt/local/lib/ruby1.9/gems/1.9.1/gems/rails-2.3.5/bin /opt/local/lib/ruby1.9/gems/1.9.1/gems/rails-2.3.5/lib /opt/local/lib/ruby1.9/gems/1.9.1/gems/rake-0.8.7/bin /opt/local/lib/ruby1.9/gems/1.9.1/gems/rake-0.8.7/lib /opt/local/lib/ruby1.9/gems/1.9.1/gems/rubygems-update-1.3.7/hide_lib_for_update /opt/local/lib/ruby1.9/gems/1.9.1/gems/rubygems-update-1.3.7/bin /opt/local/lib/ruby1.9/site_ruby/1.9.1 /opt/local/lib/ruby1.9/site_ruby/1.9.1/i386-darwin10 /opt/local/lib/ruby1.9/site_ruby /opt/local/lib/ruby1.9/vendor_ruby/1.9.1 /opt/local/lib/ruby1.9/vendor_ruby/1.9.1/i386-darwin10 /opt/local/lib/ruby1.9/vendor_ruby /opt/local/lib/ruby1.9/1.9.1 /opt/local/lib/ruby1.9/1.9.1/i386-darwin10 . => nil >> The gem is definitely installed: $ gem list |grep -i wirble wirble (0.1.3) It is located in /opt/local/lib/ruby/gems/1.9.1/gems/wirble-0.1.3/ How do I get this and future gems I installed appended to my $LOAD_PATH?

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  • Question about MySQLdb, OS X 10.5, and authentication

    - by timpone
    I'm a noob at Python and have been having problems with MySQLdb and OS X Leopard 10.5. I have a php app that is doing db access just fine with pdo but also want to access with Python. When I use the same credentials with MySQLdb as php, I get the following error: File "build/bdist.macosx-10.5-i386/egg/MySQLdb/connections.py", line 188, in __init__ _mysql_exceptions.OperationalError: (1045, "Access denied for user 'arc_db'@'localhost' (using password: YES)") The authentication piece works fine on my ubuntu server (installed via apt-get) implying that it is something specific to my OS X MySQLdb install. Looking at some postings, I thought it would be my local build of MySQLdb which seems to be problematic with OS X. But I am able to import fine: Python 2.5.1 (r251:54863, Feb 6 2009, 19:02:12) [GCC 4.0.1 (Apple Inc. build 5465)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import MySQLdb >>> Also, wanting to create a positive, I am able to access and return results from a database tilted test_something (which presumably bypasses the MySQL's authtentication - not sure exactly how though). Trying to figure out a little more what is going on, I turn on logging for mysql and get the following (added my own comments): 100609 19:09:45 3 Connect Access denied for user 'arc_db'@'localhost' (using password: YES) //not worked 100609 19:10:02 4 Connect arc_db@localhost on arc_development //did work I'm not really sure what the 3 or 4 means but presumably a sucess or failue. So, I guess what would be the next step? Am I doing some obvious stupid python mistake (very likely)? Is there a better way for me to prove that this should / can be working? Is there any way to determine what MySQLdb is sending exactly in its authentication message to MySQL? thanks

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  • Beginner SQL question: querying gold and silver tag badges in Stack Exchange Data Explorer

    - by polygenelubricants
    I'm using the Stack Exchange Data Explorer to learn SQL, but I think the fundamentals of the question is applicable to other databases. I'm trying to query the Badges table, which according to Stexdex (that's what I'm going to call it from now on) has the following schema: Badges Id UserId Name Date This works well for badges like [Epic] and [Legendary] which have unique names, but the silver and gold tag-specific badges seems to be mixed in together by having the same exact name. Here's an example query I wrote for [mysql] tag: SELECT UserId as [User Link], Date FROM Badges Where Name = 'mysql' Order By Date ASC The (slightly annotated) output is: as seen on stexdex: User Link Date --------------- ------------------- // all for silver except where noted Bill Karwin 2009-02-20 11:00:25 Quassnoi 2009-06-01 10:00:16 Greg 2009-10-22 10:00:25 Quassnoi 2009-10-31 10:00:24 // for gold Bill Karwin 2009-11-23 11:00:30 // for gold cletus 2010-01-01 11:00:23 OMG Ponies 2010-01-03 11:00:48 Pascal MARTIN 2010-02-17 11:00:29 Mark Byers 2010-04-07 10:00:35 Daniel Vassallo 2010-05-14 10:00:38 This is consistent with the current list of silver and gold earners at the moment of this writing, but to speak in more timeless terms, as of the end of May 2010 only 2 users have earned the gold [mysql] tag: Quassnoi and Bill Karwin, as evidenced in the above result by their names being the only ones that appear twice. So this is the way I understand it: The first time an Id appears (in chronological order) is for the silver badge The second time is for the gold Now, the above result mixes the silver and gold entries together. My questions are: Is this a typical design, or are there much friendlier schema/normalization/whatever you call it? In the current design, how would you query the silver and gold badges separately? GROUP BY Id and picking the min/max or first/second by the Date somehow? How can you write a query that lists all the silver badges first then all the gold badges next? Imagine also that the "real" query may be more complicated, i.e. not just listing by date. How would you write it so that it doesn't have too many repetition between the silver and gold subqueries? Is it perhaps more typical to do two totally separate queries instead? What is this idiom called? A row "partitioning" query to put them into "buckets" or something?

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  • Eclipselink update existing tables

    - by javydreamercsw
    Maybe I got it wrong but i though that JPA was able to update an existing table (model changed adding a column) but is not working in my case. I can see in the logs eclipselink attempting to create it but failing because it already exists. Instead of trying an update to add the column it keeps going. (Had to remove some < so it displays) property name="javax.persistence.jdbc.url" value="jdbc:mysql://localhost:3306/jwrestling"/ property name="javax.persistence.jdbc.password" value="password"/ property name="javax.persistence.jdbc.driver" value="com.mysql.jdbc.Driver"/ property name="javax.persistence.jdbc.user" value="user"/ property name="eclipselink.ddl-generation" value="create-tables"/ property name="eclipselink.logging.logger" value="org.eclipse.persistence.logging.DefaultSessionLog"/ property name="eclipselink.logging.level" value="INFO"/ And here's the table with the change (online column added) [EL Warning]: 2010-05-31 14:39:06.044--ServerSession(16053322)--Exception [EclipseLink-4002] (Eclipse Persistence Services - 2.1.0.v20100517-r7246): org.eclipse.persistence.exceptions.DatabaseException Internal Exception: com.mysql.jdbc.exceptions.jdbc4.MySQLSyntaxErrorException: Table 'account' already exists Error Code: 1050 Call: CREATE TABLE account (ID INTEGER NOT NULL, USERNAME VARCHAR(32) NOT NULL, SECURITY_KEY VARCHAR(255) NOT NULL, EMAIL VARCHAR(64) NOT NULL, STATUS VARCHAR(8) NOT NULL, TIMEDATE DATETIME NOT NULL, PASSWORD VARCHAR(255) NOT NULL, ONLINE TINYINT(1) default 0 NOT NULL, PRIMARY KEY (ID)) Query: DataModifyQuery(sql="CREATE TABLE account (ID INTEGER NOT NULL, USERNAME VARCHAR(32) NOT NULL, SECURITY_KEY VARCHAR(255) NOT NULL, EMAIL VARCHAR(64) NOT NULL, STATUS VARCHAR(8) NOT NULL, TIMEDATE DATETIME NOT NULL, PASSWORD VARCHAR(255) NOT NULL, ONLINE TINYINT(1) default 0 NOT NULL, PRIMARY KEY (ID))") [EL Warning]: 2010-05-31 14:39:06.074--ServerSession(16053322)--Exception [EclipseLink-4002] (Eclipse Persistence Services - 2.1.0.v20100517-r7246): org.eclipse.persistence.exceptions.DatabaseException After this it continues with the following. Am I doing something wrong or is a bug?

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  • Find actual value of PHP variable

    - by Simon S
    Hi all. I am having a real headache with reading in a tab delimited text file and inserting it into a MySQL Database. The tab delimited text file was generated (I think) from a MS SQL Database, and I have written a simple script to read in the file and insert it into an existing table in my MySQL database. However, there seems to be some problem with the data in the txt file. When my PHP script parses the file and I output the INSERT statements, the values in each of the fields are longer than they should be. For example, the first field should be a simple two character alphanumeric value. If I echo out the INSERT statements, using Firebug (in Firefox), between each of the characters is a question mark in a black diamond. If I var_dump the values, I get the following: string(5) "A1" Now, this clearly shows a two character string, but var_dump tells me it is five characters long!! If I trim() the value, all I get is the first character (in this case "A"). How can I get at the other characters, even if it is only to remove them? Additionally, this appears to be forcing MySQL to insert the value as a BLOB, not as a varchar as it should. Simon

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  • Django sphinx works only after app restart.

    - by Lhiash
    Hi, I've set up django-sphinx in my project, which works perfectly only for some time. Later it always returns empty result set. Surprisingly restarting django app fixes it. And search works again but again only for short time (or very limiter number of queries). Heres my sphinx.conf: source src_questions { # data source type = mysql sql_host = xxxxxx sql_user = xxxxxx #replace with your db username sql_pass = xxxxxx #replace with your db password sql_db = xxxxxx #replace with your db name # these two are optional sql_port = xxxxxx #sql_sock = /var/lib/mysql/mysql.sock # pre-query, executed before the main fetch query sql_query_pre = SET NAMES utf8 # main document fetch query sql_query = SELECT q.id AS id, q.title AS title, q.tagnames AS tags, q.html AS text, q.level AS level \ FROM question AS q \ WHERE q.deleted=0 \ # optional - used by command-line search utility to display document information sql_query_info = SELECT title, id, level FROM question WHERE id=$id sql_attr_uint = level } index questions { # which document source to index source = src_questions # this is path and index file name without extension # you may need to change this path or create this folder path = /home/rafal/core_index/index_questions # docinfo (ie. per-document attribute values) storage strategy docinfo = extern # morphology morphology = stem_en # stopwords file #stopwords = /var/data/sphinx/stopwords.txt # minimum word length min_word_len = 3 # uncomment next 2 lines to allow wildcard (*) searches min_infix_len = 1 enable_star = 1 # charset encoding type charset_type = utf-8 } # indexer settings indexer { # memory limit (default is 32M) mem_limit = 64M } # searchd settings searchd { # IP address on which search daemon will bind and accept # optional, default is to listen on all addresses, # ie. address = 0.0.0.0 address = 127.0.0.1 # port on which search daemon will listen port = 3312 # searchd run info is logged here - create or change the folder log = ../log/sphinx.log # all the search queries are logged here query_log = ../log/query.log # client read timeout, seconds read_timeout = 5 # maximum amount of children to fork max_children = 30 # a file which will contain searchd process ID pid_file = searchd.pid # maximum amount of matches this daemon would ever retrieve # from each index and serve to client max_matches = 1000 } and heres my search part from views.py: content = Question.search.query(keywords) if level: content = content.filter(level=level)#level is array of integers There are no errors in any logs, it just isnt returning any results. All help would be most appreciated.

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  • Hadoop Map/Reduce - simple use example to do the following...

    - by alexeypro
    I have MySQL database, where I store the following BLOB (which contains JSON object) and ID (for this JSON object). JSON object contains a lot of different information. Say, "city:Los Angeles" and "state:California". There are about 500k of such records for now, but they are growing. And each JSON object is quite big. My goal is to do searches (real-time) in MySQL database. Say, I want to search for all JSON objects which have "state" to "California" and "city" to "San Francisco". I want to utilize Hadoop for the task. My idea is that there will be "job", which takes chunks of, say, 100 records (rows) from MySQL, verifies them according to the given search criteria, returns those (ID's) which qualify. Pros/cons? I understand that one might think that I should utilize simple SQL power for that, but the thing is that JSON object structure is pretty "heavy", if I put it as SQL schemas, there will be at least 3-5 tables joins, which (I tried, really) creates quite a headache, and building all the right indexes eats RAM faster than I one can think. ;-) And even then, every SQL query has to be analyzed to be utilizing the indexes, otherwise with full scan it literally is a pain. And with such structure we have the only way "up" is just with vertical scaling. But I am not sure it's the best option for me, as I see how JSON objects will grow (the data structure), and I see that the number of them will grow too. :-) Help? Can somebody point me to simple examples of how this can be done? Does it make sense at all? Am I missing something important? Thank you.

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  • Running RSpec Files From ruby code

    - by Brian D.
    I'm trying to run RSpec tests straight from ruby code. More specifically, I'm running some mysql scripts, loading the rails test environment and then I want to run my rspec tests (which is what I'm having trouble with)... I'm trying to do this with a rake task. Here is my code so far: require"spec" require "spec/rake/spectask" RAILS_ENV = 'test' namespace :run_all_tests do desc "Run all of your tests" puts "Reseting test database..." system "mysql --user=root --password=dev < C:\\Brian\\Work\\Personal\\BrianSite\\database\\BrianSite_test_CreateScript.sql" puts "Filling database tables with test data..." system "mysql --user=root --password=dev < C:\\Brian\\Work\\Personal\\BrianSite\\database\\Fill_Test_Tables.sql" puts "Starting rails test environment..." task :run => :environment do puts "RAILS_ENV is #{RAILS_ENV}" # Run rspec test files here... require "spec/models/blog_spec.rb" end end I thought the require "spec/models/blog_spec.rb" would do it, but the tests aren't running. Anyone know where I'm going wrong? Thanks for any help.

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  • Web application architecture, and application servers?

    - by seanieb
    Hi, I'm building a web application, and I need to use an architecture that allows me to run it on two servers. The application scrapes information from other sites periodically, and on input from the end user. To do this I'm using Php+curl to scrape the information, Php or python to parse it and store the results in a MySQLDB. Then I will use Python to run some algorithms on the data, this will happen both periodically and on input from the end user. I'm going to cache some of the results in the MySQL DB and sometimes if it is specific to the user, skip storing the data and serve it to the user. I'm think of using Php for the website front end on a separate web server, running the Php spider, MySQL DB and python on another server. As you can see I'm fairly clueless. I'm familiar with using Php, MySQL and the basics of Python, but bringing this all together using something more complex than a cron job is new to me. How do go about implementing this? What frame work(s) should I use? Is MVC a good architecture for this? (I'm new to MVC, architectures etc.) Is Cakephp a good solution? If so will I be able to control and monitor the Python code using it?

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  • Use ini/appconfig file or sql server file to store user config?

    - by h2g2java
    I know that the preference for INI or appconfig XML is their human readability. Let's say user preferences stored for my app are hierarchical and numbers about a thousand items and it would be really confusing for a user to edit an INI to change things anyway. I have always been using a combination of INI with appconfig. I am leaning towards using sql server db file, now. Every time the user changes a preference while using the app, it would be stored into the db file - that's my line of thought. I am also thinking that such a config db file could move around with the app too, just like an INI. Before I do that, any advice 1. If there are any disadvantages against using a db file over INI or appconfig. 2. If a shop uses mysql or oracle, do you think your colleagues would lift up their pro-mysql or pro-oracle eyebrow questioning why you would use sql server technology in a mysql or oracle shop? I mean, I am just using it like an INI file or app.config anyway, right?

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  • PHP Socket Server vs node.js: Web Chat

    - by Eliasdx
    I want to program a HTTP WebChat using long-held HTTP requests (Comet), ajax and websockets (depending on the browser used). Userdatabase is in mysql. Chat is written in PHP except maybe the chat stream itself which could also be written in javascript (node.js): I don't want to start a php process per user as there is no good way to send the chat messages between these php childs. So I thought about writing an own socket server in either PHP or node.js which should be able to handle more then 1000 connections (chat users). As a purely web developer (php) I'm not much familiar with sockets as I usually let web server care about connections. The chat messages won't be saved on disk nor in mysql but in RAM as an array or object for best speed. As far as I know there is no way to handle multiple connections at the same time in a single php process (socket server), however you can accept a great amount of socket connections and process them successive in a loop (read and write; incoming message - write to all socket connections). The problem is that there will most-likely be a lag with ~1000 users and mysql operations could slow the whole thing down which will then affect all users. My question is: Can node.js handle a socket server with better performance? Node.js is event-based but I'm not sure if it can process multiple events at the same time (wouldn't that need multi-threading?) or if there is just an event queue. With an event queue it would be just like php: process user after user. I could also spawn a php process per chat room (much less users) but afaik there are singlethreaded IRC servers which are also capable to handle thousands of users. (written in c++ or whatever) so maybe it's also possible in php. I would prefer PHP over Node.js because then the project would be php-only and not a mixture of programming languages. However if Node can process connections simultaneously I'd probably choose it.

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  • Hibernate 3.5.0 causes extreme performance problems

    - by user303396
    I've recently updated from hibernate 3.3.1.GA to hibernate 3.5.0 and I'm having a lot of performance issues. As a test, I added around 8000 entities to my DB (which in turn cause other entities to be saved). These entities are saved in batches of 20 so that the transactions aren't too large for performance reasons. When using hibernate 3.3.1.GA all 8000 entities get saved in about 3 minutes. When using hibernate 3.5.0 it starts out slower than with hibernate 3.3.1. But it gets slower and slower. At around 4,000 entities, it sometimes takes 5 minutes just to save a batch of 20. If I then go to a mysql console and manually type in an insert statement from the mysql general query log, half of them run perfect in 0.00 seconds. And half of them take a long time (maybe 40 seconds) or timeout with "ERROR 1205 (HY000): Lock wait timeout exceeded; try restarting transaction" from MySQL. Has something changed in hibernate's transaction management in version 3.5.0 that I should be aware of? The ONLY thing I changed to experience these unusable performance issues is replace the following hibernate 3.3.1.GA jar files: com.springsource.org.hibernate-3.3.1.GA.jar, com.springsource.org.hibernate.annotations-3.4.0.GA.jar, com.springsource.org.hibernate.annotations.common-3.3.0.ga.jar, com.springsource.javassist-3.3.0.ga.jar with the new hibernate 3.5.0 release hibernate3.jar and javassist-3.9.0.GA.jar. Thanks.

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  • Artisan unable to access environment variables from $_ENV

    - by hansn
    Any artisan command I enter into the command line throws this error: $ php artisan <? return array( 'DB_HOSTNAME' => 'localhost', 'DB_USERNAME' => 'root', 'DB_NAME' => 'pc_booking', 'DB_PASSWORD' => 'secret', ); PHP Warning: Invalid argument supplied for foreach() in /home/martin/code/www/pc_backend/vendor/laravel/framework/src/Illuminate/Config/EnvironmentVariables.php on line 35 {"error":{"type":"ErrorException","message":"Undefined index: DB_HOSTNAME","file":"\/home\/martin\/code\/www\/pc_backend\/app\/config\/database.php","line":57}} This is only on my local development system, where I recently installed apache and php. On my production system on a shared host artisan commands work just fine. The prod system has it's own .env.php, but other than that the code should be identical. Relevant files: .env.local.php <? return array( 'DB_HOSTNAME' => 'localhost', 'DB_USERNAME' => 'root', 'DB_NAME' => 'pc_booking', 'DB_PASSWORD' => 'secret', ); app/config/database.php <?php return array( 'fetch' => PDO::FETCH_CLASS, 'default' => 'mysql', 'connections' => array( 'mysql' => array( 'driver' => 'mysql', 'host' => $_ENV['DB_HOSTNAME'], 'database' => $_ENV['DB_NAME'], 'username' => $_ENV['DB_USERNAME'], 'password' => $_ENV['DB_PASSWORD'], 'charset' => 'utf8', 'collation' => 'utf8_unicode_ci', 'prefix' => '', ), ), 'migrations' => 'migrations', ), ); The $_ENV array is populated as expected on the website - the problem appears to be with artisan only.

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  • Auto increment with a Unit Of Work

    - by Derick
    Context I'm building a persistence layer to abstract different types of databases that I'll be needing. On the relational part I have mySQL, Oracle and PostgreSQL. Let's take the following simplified MySQL tables: CREATE TABLE Contact ( ID varchar(15), NAME varchar(30) ); CREATE TABLE Address ( ID varchar(15), CONTACT_ID varchar(15), NAME varchar(50) ); I use code to generate system specific alpha numeric unique ID's fitting 15 chars in this case. Thus, if I insert a Contact record with it's Addresses I have my generated Contact.ID and Address.CONTACT_IDs before committing. I've created a Unit of Work (amongst others) as per Martin Fowler's patterns to add transaction support. I'm using a key based Identity Map in the UoW to track the changed records in memory. It works like a charm for the scenario above, all pretty standard stuff so far. The question scenario comes in when I have a database that is not under my control and the ID fields are auto-increment (or in Oracle sequences). In this case I do not have the db generated Contact.ID beforehand, so when I create my Address I do not have a value for Address.CONTACT_ID. The transaction has not been started on the DB session since all is kept in the Identity Map in memory. Question: What is a good approach to address this? (Avoiding unnecessary db round trips) Some ideas: Retrieve the last ID: I can do a call to the database to retrieve the last Id like: SELECT Auto_increment FROM information_schema.tables WHERE table_name='Contact'; But this is MySQL specific and probably something similar can be done for the other databases. If do this then would need to do the 1st insert, get the ID and then update the children (Address.CONTACT_IDs) – all in the current transaction context.

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