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  • How to connect to Oracle 10g server from client machines

    - by Tareq
    I have installed Oracle 10g in one of my office's computer. I want to keep this as database server. I am developing a .net project which will communicate with the database server from client machine and from the server machine. I success to communicate with oracle from server machine but not from client machine using the .net project. The connection code is as follows: Public OraConn As ADODB.Connection OraConn = New ADODB.Connection OraConn.Provider = "OraOLEDB.Oracle" OraConn.ConnectionString = "Data Source=<my_database_name>;User ID=<my_user>;Password=<my_pass>;" OraConn.Open() Please tell me step by step procedures how can I connect to my server database from my .net client program resides on client machine ? Thanks in Advance.

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  • Oracle Hibernate with in Netbean RCP

    - by jurnaltejo
    All, i have a problem with hibernate using netbean platform 6.8, i have been search around internet, but cannot found the suitable answer This is my story. i am using oracle database as data source of my hibernate entity with ojdbc14.jar driver. First i create hibernate entity tobe wrapped latter in a netbeans module, i tested the hibernate connection configuration and everything just works well. i can connect to oracle database successfuly, every hibernate query works well. Then i wrapped that hibernate entity jar as a netbeans module, create another module to warp my ojdbc14.jar then i test it. and, im using hibernate library dependency that available on netbean platform (netbean 6.8), but unfutornatelly i got oracle sql error saying “no suitable driver for [connection url]” when running the project. thats quite weird since it doesn’t happend when I test it before with out netbean platform. i thought that is related to netbeans lazy loading issue, i am not sure,. any idea ? tq for help

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  • The Benefits of Smart Grid Business Software

    - by Sylvie MacKenzie, PMP
    Smart Grid Background What Are Smart Grids?Smart Grids use computer hardware and software, sensors, controls, and telecommunications equipment and services to: Link customers to information that helps them manage consumption and use electricity wisely. Enable customers to respond to utility notices in ways that help minimize the duration of overloads, bottlenecks, and outages. Provide utilities with information that helps them improve performance and control costs. What Is Driving Smart Grid Development? Environmental ImpactSmart Grid development is picking up speed because of the widespread interest in reducing the negative impact that energy use has on the environment. Smart Grids use technology to drive efficiencies in transmission, distribution, and consumption. As a result, utilities can serve customers’ power needs with fewer generating plants, fewer transmission and distribution assets,and lower overall generation. With the possible exception of wind farm sprawl, landscape preservation is one obvious benefit. And because most generation today results in greenhouse gas emissions, Smart Grids reduce air pollution and the potential for global climate change.Smart Grids also more easily accommodate the technical difficulties of integrating intermittent renewable resources like wind and solar into the grid, providing further greenhouse gas reductions. CostsThe ability to defer the cost of plant and grid expansion is a major benefit to both utilities and customers. Utilities do not need to use as many internal resources for traditional infrastructure project planning and management. Large T&D infrastructure expansion costs are not passed on to customers.Smart Grids will not eliminate capital expansion, of course. Transmission corridors to connect renewable generation with customers will require major near-term expenditures. Additionally, in the future, electricity to satisfy the needs of population growth and additional applications will exceed the capacity reductions available through the Smart Grid. At that point, expansion will resume—but with greater overall T&D efficiency based on demand response, load control, and many other Smart Grid technologies and business processes. Energy efficiency is a second area of Smart Grid cost saving of particular relevance to customers. The timely and detailed information Smart Grids provide encourages customers to limit waste, adopt energy-efficient building codes and standards, and invest in energy efficient appliances. Efficiency may or may not lower customer bills because customer efficiency savings may be offset by higher costs in generation fuels or carbon taxes. It is clear, however, that bills will be lower with efficiency than without it. Utility Operations Smart Grids can serve as the central focus of utility initiatives to improve business processes. Many utilities have long “wish lists” of projects and applications they would like to fund in order to improve customer service or ease staff’s burden of repetitious work, but they have difficulty cost-justifying the changes, especially in the short term. Adding Smart Grid benefits to the cost/benefit analysis frequently tips the scales in favor of the change and can also significantly reduce payback periods.Mobile workforce applications and asset management applications work together to deploy assets and then to maintain, repair, and replace them. Many additional benefits result—for instance, increased productivity and fuel savings from better routing. Similarly, customer portals that provide customers with near-real-time information can also encourage online payments, thus lowering billing costs. Utilities can and should include these cost and service improvements in the list of Smart Grid benefits. What Is Smart Grid Business Software? Smart Grid business software gathers data from a Smart Grid and uses it improve a utility’s business processes. Smart Grid business software also helps utilities provide relevant information to customers who can then use it to reduce their own consumption and improve their environmental profiles. Smart Grid Business Software Minimizes the Impact of Peak Demand Utilities must size their assets to accommodate their highest peak demand. The higher the peak rises above base demand: The more assets a utility must build that are used only for brief periods—an inefficient use of capital. The higher the utility’s risk profile rises given the uncertainties surrounding the time needed for permitting, building, and recouping costs. The higher the costs for utilities to purchase supply, because generators can charge more for contracts and spot supply during high-demand periods. Smart Grids enable a variety of programs that reduce peak demand, including: Time-of-use pricing and critical peak pricing—programs that charge customers more when they consume electricity during peak periods. Pilot projects indicate that these programs are successful in flattening peaks, thus ensuring better use of existing T&D and generation assets. Direct load control, which lets utilities reduce or eliminate electricity flow to customer equipment (such as air conditioners). Contracts govern the terms and conditions of these turn-offs. Indirect load control, which signals customers to reduce the use of on-premises equipment for contractually agreed-on time periods. Smart Grid business software enables utilities to impose penalties on customers who do not comply with their contracts. Smart Grids also help utilities manage peaks with existing assets by enabling: Real-time asset monitoring and control. In this application, advanced sensors safely enable dynamic capacity load limits, ensuring that all grid assets can be used to their maximum capacity during peak demand periods. Real-time asset monitoring and control applications also detect the location of excessive losses and pinpoint need for mitigation and asset replacements. As a result, utilities reduce outage risk and guard against excess capacity or “over-build”. Better peak demand analysis. As a result: Distribution planners can better size equipment (e.g. transformers) to avoid over-building. Operations engineers can identify and resolve bottlenecks and other inefficiencies that may cause or exacerbate peaks. As above, the result is a reduction in the tendency to over-build. Supply managers can more closely match procurement with delivery. As a result, they can fine-tune supply portfolios, reducing the tendency to over-contract for peak supply and reducing the need to resort to spot market purchases during high peaks. Smart Grids can help lower the cost of remaining peaks by: Standardizing interconnections for new distributed resources (such as electricity storage devices). Placing the interconnections where needed to support anticipated grid congestion. Smart Grid Business Software Lowers the Cost of Field Services By processing Smart Grid data through their business software, utilities can reduce such field costs as: Vegetation management. Smart Grids can pinpoint momentary interruptions and tree-caused outages. Spatial mash-up tools leverage GIS models of tree growth for targeted vegetation management. This reduces the cost of unnecessary tree trimming. Service vehicle fuel. Many utility service calls are “false alarms.” Checking meter status before dispatching crews prevents many unnecessary “truck rolls.” Similarly, crews use far less fuel when Smart Grid sensors can pinpoint a problem and mobile workforce applications can then route them directly to it. Smart Grid Business Software Ensures Regulatory Compliance Smart Grids can ensure compliance with private contracts and with regional, national, or international requirements by: Monitoring fulfillment of contract terms. Utilities can use one-hour interval meters to ensure that interruptible (“non-core”) customers actually reduce or eliminate deliveries as required. They can use the information to levy fines against contract violators. Monitoring regulations imposed on customers, such as maximum use during specific time periods. Using accurate time-stamped event history derived from intelligent devices distributed throughout the smart grid to monitor and report reliability statistics and risk compliance. Automating business processes and activities that ensure compliance with security and reliability measures (e.g. NERC-CIP 2-9). Grid Business Software Strengthens Utilities’ Connection to Customers While Reducing Customer Service Costs During outages, Smart Grid business software can: Identify outages more quickly. Software uses sensors to pinpoint outages and nested outage locations. They also permit utilities to ensure outage resolution at every meter location. Size outages more accurately, permitting utilities to dispatch crews that have the skills needed, in appropriate numbers. Provide updates on outage location and expected duration. This information helps call centers inform customers about the timing of service restoration. Smart Grids also facilitates display of outage maps for customer and public-service use. Smart Grids can significantly reduce the cost to: Connect and disconnect customers. Meters capable of remote disconnect can virtually eliminate the costs of field crews and vehicles previously required to change service from the old to the new residents of a metered property or disconnect customers for nonpayment. Resolve reports of voltage fluctuation. Smart Grids gather and report voltage and power quality data from meters and grid sensors, enabling utilities to pinpoint reported problems or resolve them before customers complain. Detect and resolve non-technical losses (e.g. theft). Smart Grids can identify illegal attempts to reconnect meters or to use electricity in supposedly vacant premises. They can also detect theft by comparing flows through delivery assets with billed consumption. Smart Grids also facilitate outreach to customers. By monitoring and analyzing consumption over time, utilities can: Identify customers with unusually high usage and contact them before they receive a bill. They can also suggest conservation techniques that might help to limit consumption. This can head off “high bill” complaints to the contact center. Note that such “high usage” or “additional charges apply because you are out of range” notices—frequently via text messaging—are already common among mobile phone providers. Help customers identify appropriate bill payment alternatives (budget billing, prepayment, etc.). Help customers find and reduce causes of over-consumption. There’s no waiting for bills in the mail before they even understand there is a problem. Utilities benefit not just through improved customer relations but also through limiting the size of bills from customers who might struggle to pay them. Where permitted, Smart Grids can open the doors to such new utility service offerings as: Monitoring properties. Landlords reduce costs of vacant properties when utilities notify them of unexpected energy or water consumption. Utilities can perform similar services for owners of vacation properties or the adult children of aging parents. Monitoring equipment. Power-use patterns can reveal a need for equipment maintenance. Smart Grids permit utilities to alert owners or managers to a need for maintenance or replacement. Facilitating home and small-business networks. Smart Grids can provide a gateway to equipment networks that automate control or let owners access equipment remotely. They also facilitate net metering, offering some utilities a path toward involvement in small-scale solar or wind generation. Prepayment plans that do not need special meters. Smart Grid Business Software Helps Customers Control Energy Costs There is no end to the ways Smart Grids help both small and large customers control energy costs. For instance: Multi-premises customers appreciate having all meters read on the same day so that they can more easily compare consumption at various sites. Customers in competitive regions can match their consumption profile (detailed via Smart Grid data) with specific offerings from competitive suppliers. Customers seeing inexplicable consumption patterns and power quality problems may investigate further. The result can be discovery of electrical problems that can be resolved through rewiring or maintenance—before more serious fires or accidents happen. Smart Grid Business Software Facilitates Use of Renewables Generation from wind and solar resources is a popular alternative to fossil fuel generation, which emits greenhouse gases. Wind and solar generation may also increase energy security in regions that currently import fossil fuel for use in generation. Utilities face many technical issues as they attempt to integrate intermittent resource generation into traditional grids, which traditionally handle only fully dispatchable generation. Smart Grid business software helps solves many of these issues by: Detecting sudden drops in production from renewables-generated electricity (wind and solar) and automatically triggering electricity storage and smart appliance response to compensate as needed. Supporting industry-standard distributed generation interconnection processes to reduce interconnection costs and avoid adding renewable supplies to locations already subject to grid congestion. Facilitating modeling and monitoring of locally generated supply from renewables and thus helping to maximize their use. Increasing the efficiency of “net metering” (through which utilities can use electricity generated by customers) by: Providing data for analysis. Integrating the production and consumption aspects of customer accounts. During non-peak periods, such techniques enable utilities to increase the percent of renewable generation in their supply mix. During peak periods, Smart Grid business software controls circuit reconfiguration to maximize available capacity. Conclusion Utility missions are changing. Yesterday, they focused on delivery of reasonably priced energy and water. Tomorrow, their missions will expand to encompass sustainable use and environmental improvement.Smart Grids are key to helping utilities achieve this expanded mission. But they come at a relatively high price. Utilities will need to invest heavily in new hardware, software, business process development, and staff training. Customer investments in home area networks and smart appliances will be large. Learning to change the energy and water consumption habits of a lifetime could ultimately prove even more formidable tasks.Smart Grid business software can ease the cost and difficulties inherent in a needed transition to a more flexible, reliable, responsive electricity grid. Justifying its implementation, however, requires a full understanding of the benefits it brings—benefits that can ultimately help customers, utilities, communities, and the world address global issues like energy security and climate change while minimizing costs and maximizing customer convenience. This white paper is available for download here. For further information about Oracle's Primavera Solutions for Utilities, please read our Utilities e-book.

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  • MySQL for Excel 1.1.3 has been released

    - by Javier Treviño
    The MySQL Windows Experience Team is proud to announce the release of MySQL for Excel version 1.1.3, the  latest addition to the MySQL Installer for Windows. MySQL for Excel is an application plug-in enabling data analysts to very easily access and manipulate MySQL data within Microsoft Excel. It enables you to directly work with a MySQL database from within Microsoft Excel so you can easily do tasks such as: Importing MySQL Data into Excel Exporting Excel data directly into MySQL to a new or existing table Editing MySQL data directly within Excel MySQL for Excel is installed using the MySQL Installer for Windows. The MySQL installer comes in 2 versions   Full (150 MB) which includes a complete set of MySQL products with their binaries included in the download Web (1.5 MB - a network install) which will just pull MySQL for Excel over the web and install it when run.   You can download MySQL Installer from our official Downloads page at http://dev.mysql.com/downloads/installer/. MySQL for Excel 1.1.3 introduces the following features:   Upon saving a Workbook containing Worksheets in Edit Mode, the user is asked if he wants to exit the Edit Mode on all Worksheets before their parent Workbook is saved so the Worksheets are saved unprotected, otherwise the Worksheets will remain protected and the users will be able to unprotect them later retrieving the passkeys from the application log after closing MySQL for Excel. Added background coloring to the column names header row of an Import Data operation to have the same look as the one in an Edit Data operation (i.e. gray-ish background). Connection passwords can be stored securely just like MySQL Workbench does and these secured passwords are shared with Workbench in the same way connections are. Changed the way the MySQL for Excel ribbon toggle button works, instead of just showing or hiding the add-in it actually opens and closes it. Added a connection test before any operation against the database (schema creation, data import, append, export or edition) so the operation dialog is not shown and a friendlier error message is shown.   Also this release contains the following bug fixes:   Added a check on every connection test for an expired password, if the password has been expired a dialog is now shown to the user to reset the password. Bug #17354118 - DON'T HANDLE EXPIRED PASSWORDS Added code to escape text values to be imported to an Excel worksheet that start with an equals sign so Excel does not treat those values as formulas that will fail evaluation. This is an option turned on by default that can be turned off by users if they wish to import values to be treated as Excel formulas. Bug #17354102 - ERROR IMPORTING TEXT VALUES TO EXCEL STARTING WITH AN EQUALS SIGN Added code to properly check the reason for a failing connection, if it's a failing password the user gets a dialog to retry the connection with a different password until the connection succeeds, a connection error not related to the password is thrown or the user cancels. If the failing connection is not related to a bad password an error message is shown to the users indicating the reason of the failure. Bug #16239007 - CONNECTIONS TO MYSQL SERVICES NOT RUNNING DISPLAY A WRONG PASSWORD ERROR MESSAGE Added global options dialog that can be accessed from the Schema Selection and DB Object Selection panels where the timeouts for the connection to the DB Server and for the query commands can be changed from their default values (15 seconds for the connection timeout and 30 seconds for the query timeout). MySQL Bug #68732, Bug #17191646 - QUERY TIMEOUT CANNOT BE ADJUSTED IN MYSQL FOR EXCEL Changed the Varchar(65,535) data type shown in the Export Data data type combo box to Text since the maximum row size is 65,535 bytes and any autodetected column data type with a length greater than 4,000 should be set to Text actually for the table to be created successfully. MySQL Bug #69779, Bug #17191633 - EXPORT FAILS FOR EXCEL FILES CONTAINING > 4000 CHARACTERS OF TEXT PER CELL Removed code that was replacing all spaces typed by the user in an overriden data type for a new column in an Export Data operation, also improved the data type detection code to flag as invalid data types with parenthesis but without any text inside or where the contents inside the parenthesis are not valid for the specific data type. Bug #17260260 - EXPORT DATA SET TYPE NOT WORKING WITH MEMBER VALUES CONTAINING SPACES Added support for the year data type with a length of 2 or 4 and a validation that valid values are integers between 1901-2155 (for 4-digit years) or between 0-99 (for 2-digit years). Bug #17259915 - EXPORT DATA YEAR DATA TYPE NOT RECOGNIZED IF DECLARED WITH A DISPLAY WIDTH) Fixed code for Export Data operations where users overrode the data type for columns typing Text in the data type combobox, which is a valid data type but was not recognized as such. Bug #17259490 - EXPORT DATA TEXT DATA TYPE NOT RECOGNIZED AS A VALID DATA TYPE Changed the location of the registry where the MySQL for Excel add-in is installed to HKEY_LOCAL_MACHINE instead of HKEY_CURRENT_USER so the add-in is accessible by all users and not only to the user that installed it. For this to work with Excel 2007 a hotfix may be required (see http://support.microsoft.com/kb/976477). MySQL Bug #68746, Bug #16675992 - EXCEL-ADD-IN IS ONLY INSTALLED FOR USER ACCOUNT THAT THE INSTALLATION RUNS UNDER Added support for Excel 2013 Single Document Interface, now that Excel 2013 creates 1 window per workbook also the Excel Add-In maintains an independent custom task pane in each window. MySQL Bug #68792, Bug #17272087 - MYSQL FOR EXCEL SIDEBAR DOES NOT APPEAR IN EXCEL 2013 (WITH WORKAROUND) Included the latest MySQL Utility with a code fix for the COM exception thrown when attempting to open Workbench in the Manage Connections window. Bug #17258966 - MYSQL WORKBENCH NOT OPENED BY CLICKING MANAGE CONNECTIONS HOTLABEL Fixed code for Append Data operations that was not applying a calculated automatic mapping correctly when the source and target tables had different number of columns, some columns with the same name but some of those lying on column indexes beyond the limit of the other source/target table. MySQL Bug #69220, Bug #17278349 - APPEND DOESN'T AUTOMATICALLY DETECT EXCEL COL HEADER WITH SAME NAME AS SQL FIELD Fixed some code for Edit Data operations that was escaping special characters twice (during edition in Excel and then upon sending the query to the MySQL server). MySQL Bug #68669, Bug #17271693 - A BACKSLASH IS INSERTED BEFORE AN APOSTROPHE EDITING TABLE WITH MYSQL FOR EXCEL Upgraded MySQL Utility with latest version that encapsulates dialog base classes and introduces more classes to handle Workbench connections, and removed these from the Excel project. Bug #16500331 - CAN'T DELETE CONNECTIONS CREATED WITHIN ADDIN You can access the MySQL for Excel documentation at http://dev.mysql.com/doc/refman/5.6/en/mysql-for-excel.html You can find our team’s blog at http://blogs.oracle.com/MySQLOnWindows. You can also post questions on our MySQL for Excel forum found at http://forums.mysql.com/. Enjoy and thanks for the support!

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  • Updating textfield in doctrine produces an exception

    - by james-murphy
    I have a textfield that contains say for example the following text:- "A traditional English dish comprising sausages in Yorkshire pudding batter, usually served with vegetables and gravy." This textfield is in a form that simply updates an item record using it's ID. If I edit part of the textfield and replace "and gravy." with "humous." So that the textfield now contains "A traditional English dish comprising sausages in Yorkshire pudding batter, usually served with vegetables and humous." I get the following exception:- Fatal error: Uncaught exception 'Doctrine_Query_Exception' with message 'Unknown component alias humous' in C:\Projects\nitrous\lightweight\system\database\Doctrine\Query\Abstract.php:780 Stack trace: C:\Projects\nitrous\lightweight\system\database\Doctrine\Query\Abstract.php(767): Doctrine_Query_Abstract-getQueryComponent('humous') C:\Projects\nitrous\lightweight\system\database\Doctrine\Query\Set.php(58): Doctrine_Query_Abstract-getAliasDeclaration('humous') C:\Projects\nitrous\lightweight\system\database\Doctrine\Query\Abstract.php(2092): Doctrine_Query_Set-parse('i.details = 'A ...') C:\Projects\nitrous\lightweight\system\database\Doctrine\Query.php(1058): Doctrine_Query_Abstract-_processDqlQueryPart('set', Array) C:\Projects\nitrous\lightweight\system\database\Doctrine\Query\Abstract.php(971): Doctrine_Query-getSqlQuery(Array) C:\Projects\nitrous\lightweight\system\database\Doctrine\Query\Abstract.php(1030): Doctrine_Query_Abstract-_execute(Array) C:\Projects\nitrous\lightweight\system\appl in C:\Projects\nitrous\lightweight\system\database\Doctrine\Query\Abstract.php on line 780 I'm using Doctrine 1.0.6 hooked into CodeIgniter 1.7.0 if anyone is interested. My doctrine query that actually performs the update looks as follows:- public function updateItems($id, $arrayItem) { $query = new Doctrine_Query(); $query->update('Item i'); foreach($arrayItem as $key => $value) { $query->set('i.'.$key, "'".$value."'"); } $query->where('i.id = ?', $id); return $query->execute(); } This seems bizarre because if i replace the entire string "A traditional English dish comprising sausages in Yorkshire pudding batter, usually served with vegetables and humous." with something completely different like just "test" it doesn't throw an exception and works just fine. This baffles me... is it a bug in Doctrine or have I missed something?

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  • Why does Perl's DBI complain about "failed: ERROR OCIEnvNlsCreate" when I try to connect to Oracle 1

    - by John
    I am getting the following error connecting to an Oracle 11g database using a simple Perl script: failed: ERROR OCIEnvNlsCreate. Check ORACLE_HOME (Linux) env var or PATH (Windows) and or NLS settings, permissions, etc. at The script is as follows: #!/usr/local/bin/perl use strict; use DBI; if ($#ARGV < 3) { print "Usage: perl testDbAccess.pl dataBaseUser dataBasePassword SID dataBasePort\n"; exit 0; } my ($user, $pwd, $sid, $port) = @ARGV; my $host = `hostname`; my $dbh; my $sth; my $dbname = "dbi:Oracle:HOST=$host;SID=$sid;PORT=$port"; openDbConnection(); closeDbConnection(); sub openDbConnection() { $dbh = DBI->connect ($dbname, $user ,$pwd , { RaiseError => 1}) || die "Database connection not made: $DBI::errstr"; } sub closeDbConnection() { #$sth->finish(); $dbh->disconnect(); } Anyone seen this problem before?

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  • How do I store a string longer than 4000 characters in an Oracle Database using Java/JDBC?

    - by Ventrue
    I’m not sure how to use Java/JDBC to insert a very long string into an Oracle database. I have a String which is greater than 4000 characters, lets say it’s 6000. I want to take this string and store it in an Oracle database. The way to do this seems to be with the CLOB datatype. Okay, so I declared the column as description CLOB. Now, when it comes time to actually insert the data, I have a prepared statement pstmt. It looks like pstmt = conn.prepareStatement(“INSERT INTO Table VALUES(?)”). So I want to use the method pstmt.setClob(). However, I don’t know how to create a Clob object with my String in it; there’s no constructor (presumably because it can be potentially much larger than available memory). How do I put my String into a Clob? Keep in mind I’m not a very experienced programmer; please try to keep the explanations as simple as possible. Efficiency, good practices, etc. are not a concern here, I just want the absolute easiest solution. I’d like to avoid downloading other packages if it all possible; right now I’m just using JDK 1.4 and what is labelled “ojdbc14.jar”. I've looked around a bit but I haven't been able to follow any of the explanations I've found. If you have a solution that doesn’t use Clobs, I’d be open to that as well, but it has to be one column.

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  • Deploying ASP.Net MVC application

    - by a_m0d
    I've recently reached the stage where an ASP.net MVC application I am developing is ready to be deployed to the production server. I've worked out how to publish the application - I've got all the files on the server, and can access them over the internet. However, I can't work out how to deploy my database. The server has the SQL Server Management Studio Express installed, as the database used is a SQL Server Express database. I have the server instance up and running - I just don't know how to add the tables, etc. to the database. I have created the "CREATE TABLE" scripts on the development machine, but as far as I can see, Management Studio does not provide any way to actually run these scripts. I have looked through all the menu items that I could see, and none of them worked. Even using the "Create new query..." option and pasting the script in didn't work. When I try "File-Open..." and select a script to run, set the correct database from the dropdown list on the toolbar, and then execute the script, it complains about not finding the database file (even when I set the USE [...] statement to the correct path. Deleting the USE [...] statement, the script complains that it can't find the [dbo].[Invoices] object; however, it shouldn't be able to find it, because its trying to create it! tl;dr: What's the best way to make sure that the database on the production machine matches the database on my development machine?

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  • Managing multiple customer databases in ASP.NET MVC application

    - by Robert Harvey
    I am building an application that requires separate SQL Server databases for each customer. To achieve this, I need to be able to create a new customer folder, put a copy of a prototype database in the folder, change the name of the database, and attach it as a new "database instance" to SQL Server. The prototype database contains all of the required table, field and index definitions, but no data records. I will be using SMO to manage attaching, detaching and renaming the databases. In the process of creating the prototype database, I tried attaching a copy of the database (companion .MDF, .LDF pair) to SQL Server, using Sql Server Management Studio, and discovered that SSMS expects the database to reside in c:\program files\Microsoft SQL Server\MSSQL.1\MSSQL\DATA\MyDatabaseName.MDF Is this a "feature" of SQL Server? Is there a way to manage individual databases in separate directories? Or am I going to have to put all of the customer databases in the same directory? (I was hoping for a little better control than this). NOTE: I am currently using SQL Server Express, but for testing purposes only. The production database will be SQL Server 2008, Enterprise version. So "User Instances" are not an option.

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  • Connection Pool Strategy: Good, Bad or Ugly?

    - by Drew
    I'm in charge of developing and maintaining a group of Web Applications that are centered around similar data. The architecture I decided on at the time was that each application would have their own database and web-root application. Each application maintains a connection pool to its own database and a central database for shared data (logins, etc.) A co-worker has been positing that this strategy will not scale because having so many different connection pools will not be scalable and that we should refactor the database so that all of the different applications use a single central database and that any modifications that may be unique to a system will need to be reflected from that one database and then use a single pool powered by Tomcat. He has posited that there is a lot of "meta data" that goes back and forth across the network to maintain a connection pool. My understanding is that with proper tuning to use only as many connections as necessary across the different pools (low volume apps getting less connections, high volume apps getting more, etc.) that the number of pools doesn't matter compared to the number of connections or more formally that the difference in overhead required to maintain 3 pools of 10 connections is negligible compared to 1 pool of 30 connections. The reasoning behind initially breaking the systems into a one-app-one-database design was that there are likely going to be differences between the apps and that each system could make modifications on the schema as needed. Similarly, it eliminated the possibility of system data bleeding through to other apps. Unfortunately there is not strong leadership in the company to make a hard decision. Although my co-worker is backing up his worries only with vagueness, I want to make sure I understand the ramifications of multiple small databases/connections versus one large database/connection pool.

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  • Oracle Query Optimization: Why is My Second Query Faster?

    - by Patrick Cuff
    I was having some performance issues with an Oracle query, so I downloaded a trial of the Quest SQL Optimizer for Oracle, which made some changes that dramatically improved the query's performance. I'm not exactly sure why the recommended query had such an improvement; can anyone provide an explanation? Before: SELECT t1.version_id, t1.id, t2.field1, t3.person_id, t2.id FROM table1 t1, table2 t2, table3 t3 WHERE t1.id = t2.id AND t1.version_id = t2.version_id AND t2.id = 123 AND t1.version_id = t3.version_id AND t1.VERSION_NAME <> 'AA' order by t1.id Plan Cost: 831 Elapsed Time: 00:00:21.40 Number of Records: 40,717 After: SELECT /*+ USE_NL_WITH_INDEX(t1) */ t1.version_id, t1.id, t2.field1, t3.person_id, t2.id FROM table2 t2, table3 t3, table1 t1 WHERE t1.id = t2.id + 0 AND t1.version_id = t2.version_id + 0 AND t2.id = 123 AND t1.version_id = t3.version_id + 0 AND t1.VERSION_NAME || '' <> 'AA' AND t3.version_id = t2.version_id + 0 order by t1.id Plan Cost: 686 Elapsed Time: 00:00:00.95 Number of Records: 40,717 Questions: Why does re-arranging the order of the tables in the FROM clause help? Why does adding + 0 to the WHERE clause comparisons help? Why does || '' <> 'AA' in the WHERE clause VERSION_NAME comparison help? Is this a more efficient way of handling possible nulls on this column?

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  • Is it possible to modify the value of a record's primary key in Oracle when child records exist?

    - by Chris Farmer
    I have some Oracle tables that represent a parent-child relationship. They look something like this: create table Parent ( parent_id varchar2(20) not null primary key ); create table Child ( child_id number not null primary key, parent_id varchar2(20) not null, constraint fk_parent_id foreign key (parent_id) references Parent (parent_id) ); This is a live database and its schema was designed long ago under the assumption that the parent_id field would be static and unchanging for a given record. Now the rules have changed and we really would like to change the value of parent_id for some records. For example, I have these records: Parent: parent_id --------- ABC123 Child: child_id parent_id -------- --------- 1 ABC123 2 ABC123 And I want to modify ABC123 in these records in both tables to something else. It's my understanding that one cannot write an Oracle update statement that will update both parent and child tables simultaneously, and given the FK constraint, I'm not sure how best to update my database. I am currently disabling the fk_parent_id constraint, updating each table independently, and then enabling the constraint. Is there a better, single-step way to update this content?

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  • How to prepare for a telephone interview: ‘Develop an Interview Cheat Sheet’

    - by Maria Sandu
    At Oracle we often do telephone interviews in different stages of the process with candidates, due to the fact that we hire native speakers into other countries. On this blog we already have an article with tips and tricks for phone interviews that can help you during the telephone interviews. To help you prepare even better for a telephone interview we would like to introduce you the basics of developing a cheat sheet. The benefit of a telephone interview is that you will be sitting at home, at your table or desk, during the interview, and not in front of someone. So use this to your advantage. The Monster website has some useful and interesting tips and tricks for developing a cheat sheet. Carole Martin, who wrote this article, says that a cheat sheet will help you feel more prepared and confident when speaking to managers over the phone. Important to keep in mind is that you shouldn't memorise what's on the sheet or check it off during the interview. Only use your cheat sheet to remind you of key facts. Here are some suggestions to include on it: • Divide a piece of paper in 2 by drawing a line. Write on one side of the paper a list of requirements as mentioned in the job description. On the other side list your qualities to fulfill the requirements of the employer. This will help you in answering questions about why you are the best candidate for the job and how you fit the role. • Do research on the company, the industry sector and the competitors, so you will get a feeling for the company’s business and can ask more in-depth questions. • Be prepared for the most used introduction question: “Tell me a bit about yourself”. Prepare a 60-second personal statement or pitch in which you summarise who you are and what you can offer, so you will be able to sell yourself from on the very beginning. • Write down a minimum of 5 good examples to answer behavioral interview questions ("Tell me about a time when..." or "Give me an example of a time..." ). These questions are used by interviewers to see how you deal with similar situations as you might encounter in the job. Interviewers use this question as past behaviour is scientifically proven to be the best predictor for future behaviour. • List five questions to ask the interviewer about the job, the company and the industry to help you get a good understanding if the role and company really fit your needs and wants. To get some inspiration check this article on inc.com • Find out how much you are worth on the job market and determine your needs based on your living expenses, especially when moving abroad. • Ask for permission from the people you plan to use as a reference. Also make sure you have your CV at hand and an overview of your grades. Feel free to comment on this article and let us know what your experience is with developing a cheat sheet for a telephone interview. Good luck with the preparation of your sheet.

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  • Enabling OUD Entry Cache for large static groups

    - by Sylvain Duloutre
    Oracle Unified Directory can take advantage of several caches to improve performances. especially the so-called database cache and the file system cache. In addition to that, it is possible to use an entry cache to cache LDAP entries. By default, the entry cache is not used. In specific deployements involving large static groups, it may worth loading the group entries to the entry cache to speed up group membership and group-based aci evaluation. To do so, run the following commands: First, specify which entries should reside in the entry cache. In the commad below, only entries matching the LDAP filter " (|(objctclass=groupOfNames)(objectclass=groupOfUniqueNames)) " will be stored in the entry cache. dsconfig set-entry-cache-prop \          --cache-name FIFO \          --add include-filter:\(\|\(objctclass=groupOfNames\)\(objectclass=groupOfUniqueNames\)\)          --port <ADMIN_PORT> \          --bindDN cn=Directory\ Manager \          --bindPassword ****** \          --no-prompt Then enable the entry cache: dsconfig set-entry-cache-prop \          --cache-name FIFO \          --set enabled:true \          --port <ADMIN_PORT> \          --bindDN cn=Directory\ Manager \          --bindPassword ****** \          --no-prompt In addition to that, you can control how much memory the entry cache can use: oud@s96sec1d0-v3:/application/oud : dsconfig -X -n -p <ADMIN PORT> -D "cn=Directory Manager" -w <password> get-entry-cache-prop --cache-name FIFO Property           : Value(s) -------------------:----------------------------------------------------------- cache-level        : 1 enabled            : true exclude-filter     : - include-filter     : (|(objctclass=groupOfNames)(objectclass=groupOfUniqueNames)) max-entries        : 2147483647 max-memory-percent : 90 You can change the max-entries amd max-memory-percent properties to control the entry cache size using the dsconfig set-entry-cache-prop command.

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  • Where’s my MD.050?

    - by Dave Burke
    A question that I’m sometimes asked is “where’s my MD.050 in OUM?” For those not familiar with an MD.050, it serves the purpose of being a Functional Design Document (FDD) in one of Oracle’s legacy Methods. Functional Design Documents have existed for many years with their primary purpose being to describe the functional aspects of one or more components of an IT system, typically, a Custom Extension of some sort. So why don’t we have a direct replacement for the MD.050/FDD in OUM? In simple terms, the disadvantage of the MD.050/FDD approach is that it tends to lead practitioners into “Design mode” too early in the process. Whereas OUM encourages more emphasis on gathering, and describing the functional requirements of a system ahead of the formal Analysis and Design process. So that just means more work up front for the Business Analyst or Functional Consultants right? Well no…..the design of a solution, particularly when it involves a complex custom extension, does not necessarily take longer just because you put more thought into the functional requirements. In fact, one could argue the complete opposite, in that by putting more emphasis on clearly understanding the nuances of functionality requirements early in the process, then the overall time and cost incurred during the Analysis to Design process should be less. In short, as your understanding of requirements matures over time, it is far easier (and more cost effective) to update a document or a diagram, than to change lines of code. So how does that translate into Tasks and Work Products in OUM? Let us assume you have reached a point on a project where a Custom Extension is needed. One of the first things you should consider doing is creating a Use Case, and remember, a Use Case could be as simple as a few lines of text reflecting a “User Story”, or it could be what Cockburn1 describes a “fully dressed Use Case”. It is worth mentioned at this point the highly scalable nature of OUM in the sense that “documents” should not be produced just because that is the way we have always done things. Some projects may well be predicated upon a base of electronic documents, whilst other projects may take a much more Agile approach to describing functional requirements; through “User Stories” perhaps. In any event, it is quite common for a Custom Extension to involve the creation of several “components”, i.e. some new screens, an interface, a report etc. Therefore several Use Cases might be required, which in turn can then be assembled into a Use Case Package. Once you have the Use Cases attributed to an appropriate (fit-for-purpose) level of detail, and assembled into a Package, you can now create an Analysis Model for the Package. An Analysis Model is conceptual in nature, and depending on the solution being developing, would involve the creation of one or more diagrams (i.e. Sequence Diagrams, Collaboration Diagrams etc.) which collectively describe the Data, Behavior and Use Interface requirements of the solution. If required, the various elements of the Analysis Model may be indexed via an Analysis Specification. For Custom Extension projects that follow a pure Object Orientated approach, then the Analysis Model will naturally support the development of the Design Model without any further artifacts. However, for projects that are transitioning to this approach, then the various elements of the Analysis Model may be represented within the Analysis Specification. If we now return to the original question of “Where’s my MD.050”. The full answer would be: Capture the functional requirements within a Use Case Group related Use Cases into a Package Create an Analysis Model for each Package Consider creating an Analysis Specification (AN.100) as a index to each Analysis Model artifact An alternative answer for a relatively simple Custom Extension would be: Capture the functional requirements within a Use Case Optionally, group related Use Cases into a Package Create an Analysis Specification (AN.100) for each package 1 Cockburn, A, 2000, Writing Effective Use Case, Addison-Wesley Professional; Edition 1

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  • Who should ‘own’ the Enterprise Architecture?

    - by Michael Glas
    I recently had a discussion around who should own an organization’s Enterprise Architecture. It was spawned by an article titled “Busting CIO Myths” in CIO magazine1 where the author interviewed Jeanne Ross, director of MIT's Center for Information Systems Research and co-author of books on enterprise architecture, governance and IT value.In the article Jeanne states that companies need to acknowledge that "architecture says everything about how the company is going to function, operate, and grow; the only person who can own that is the CEO". "If the CEO doesn't accept that role, there really can be no architecture."The first question that came up when talking about ownership was whether you are talking about a person, role, or organization (there are pros and cons to each, but in general, I like to assign accountability to as few people as possible). After much thought and discussion, I came to the conclusion that we were answering the wrong question. Instead of talking about ownership we were talking about responsibility and accountability, and the answer varies depending on the particular role of the organization’s Enterprise Architecture and the activities of the enterprise architect(s).Instead of looking at just who owns the architecture, think about what the person/role/organization should do. This is one possible scenario (thanks to Bob Covington): The CEO should own the Enterprise Strategy which guides the business architecture. The Business units should own the business processes and information which guide the business, application and information architectures. The CIO should own the technology, IT Governance and the management of the application and information architectures/implementations. The EA Governance Team owns the EA process.  If EA is done well, the governance team consists of both IT and the business. While there are many more roles and responsibilities than listed here, it starts to provide a clearer understanding of ‘ownership’. Now back to Jeanne’s statement that the CEO should own the architecture. If you agree with the statement about what the architecture is (and I do agree), then ultimately the CEO does need to own it. However, what we ended up with was not really ownership, but more statements around roles and responsibilities tied to aspects of the enterprise architecture. You can debate the semantics of ownership vs. responsibility and accountability, but in the end the important thing is to come to a clearer understanding that is easily communicated (and hopefully measured) around the question “Who owns the Enterprise Architecture”.The next logical step . . . create a RACI matrix that details the findings . . . but that is a step that each organization needs to do on their own as it will vary based on current EA maturity, company culture, and a variety of other factors. Who ‘owns’ the Enterprise Architecture in your organization? 1 CIO Magazine Article (Busting CIO Myths): http://www.cio.com/article/704943/Busting_CIO_Myths Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • When to implement: Together with or after the source product?

    - by Jeremy Oosthuizen
    Somebody recently relayed a prospect's question to me: How hard would it be to implement OUBI after the source product (CC&B, WAM or NMS) has already been implemented? Fact is that MOST non-OUBI Data Warehouse / Business Intelligence implementations take place after the source application(s) are in place and hopefully stable. If an organization decides that they need better reporting and management information, then the logical path (see The Data Warehouse Institute's Data Warehouse Maturity Model) is to a Data Warehouse -- no matter when their last applications were implemented. If there is a pre-built Data Warehouse for their specific application, or even for the desired business process in their industry, they're in luck. Else they have to design and build from scratch, using a toolset. The implementation of a toolset is unlike the implementation of OUBI which, like OBI Apps, contain pre-built ETL routines and user content. Much has been written before about the advantages of that. So, because OUBI is designed specifically for Oracle Utilities transactional products, we often implement them in parallel -- with OUBI lagging a little behind by necessity, like Reporting. Customers know from the start they're going to need the solution, and therefore purchase the products at the same time. My biggest argument FOR a parallel installation/implementation of OUBI with the source product is two-fold: - There could be things (which is the technical term for data elements) that customers figure out they need when implementing OUBI, which are often easier added to the source product's implementation project, than to add later; - OUBI's ETL often points out errors (severe or not) with converted data, which are easier to fix during the source product's implementation project, or it may even be impossible to fix afterwards. The Conversion routines sometimes miss these errors, because the source system can live with the not-quite-perfect converted data. If the data can't be properly extracted, i.e. the proper Dimensions linked to the Facts, then it can't get into OUBI. That means it can't be analyzed effectively along with the rest of the organization's data. Then there is also the throw-away-work argument, which may be significant. The operational / transactional system cannot go live without reports on Day 1. A lot of those reports would be taken care of by the implementation of OUBI. If OUBI is implemented after go-live, those reports STILL have to be built during the source product's implementation project, but they become throw-away after the OUBI implementation. I have sometimes been told that it is better to implement OUBI after the source product, because it cuts down on scope and risk for the source product's implementation project. All I can say to that, is bah humbug. No, seriously, given the arguments above, planning has to include the OUBI implementation and it has to be managed properly -- just like any other implementation. If so, it should not add any risk and it should be included in the scope from the start. The answer to the prospect's question is therefore that it is not that much more difficult; after all, most DW/BI implemenations are done like that. They just have to consider the points above.

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  • Stretch in multiple components using af:popup, af:region, af:panelTabbed

    - by Arvinder Singh
    Case study: I have a pop-up(dialogue) that contains a region(separate taskflow) showing a tab. The contents of this tab is in a region having a separate taskflow. The jsff page of this taskflow contains a panelSplitter which in turn contains a table. In short the components are : pop-up(dialogue) --> region(separate taskflow) --> tab --> region(separate taskflow) --> panelSplitter --> table At times the tab is not displayed with 100% width or the table in panelSplitter is not 100% visible or the splitter is not visible. Maintaining the stretch for all the components is difficult......not any more!!! Below is the solution that you can make use of in many similar scenarios. I am mentioning the major code snippets affecting the stretch and alignment. pop-up: <af:popup> <af:dialog id="d2" type="none" title="" inlineStyle="width:1200px"> <af:region value="#{bindings.PriceChangePopupFlow1.regionModel}" id="r1"/> </af:dialog> The above region is a jsff containing multiple tabs. I am showing code for a single tab. I kept the tab in a panelStretchLayout. <af:panelStretchLayout id="psl1" topHeight="300px" styleClass="AFStretchWidth"> <af:panelTabbed id="pt1"> <af:showDetailItem text="PO Details" id="sdi1" stretchChildren="first" > <af:region value="#{bindings.PriceChangePurchaseOrderFlow1.regionModel}" id="r1" binding="# {pageFlowScope.priceChangePopupBean.poDetailsRegion}" /> This "region" displays a .jsff containing a table in a panelSplitter. <af:panelSplitter id="ps1"  orientation="horizontal" splitterPosition="700"> <f:facet name="first"> <af:panelHeader text="PurchaseOrder" id="ph1"> <af:table id="md1" rows="#{bindings.PurchaseOrderVO.rangeSize}" That's it!!! We're done... Note the stretchChildren="first" attribute in the af:showDetailItem. That does the trick for us. Oracle docs say the following about stretchChildren :  Valid Values: none, first The stretching behavior for children. Acceptable values include: "none": does not attempt to stretch any children (the default value and the value you need to use if you have more than a single child; also the value you need to use if the child does not support being stretched) "first": stretches the first child (not to be used if you have multiple children as such usage will produce unreliable results; also not to be used if the child does not support being stretched)

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  • Patching and PCI Compliance

    - by Joel Weise
    One of my friends and master of the security universe, Darren Moffat, pointed me to Dan Anderson's blog the other day.  Dan went to Toorcon which is a security conference where he went to a talk on security patching titled, "Stop Patching, for Stronger PCI Compliance".  I realize that often times speakers will use a headline grabbing title to create interest in their talk and this one certainly got my attention.  I did not go to the conference and did not see the presentation, so I can only go by what is in the Toorcon agenda summary and on Dan's blog, but the general statement to stop patching for stronger PCI compliance seems a bit misleading to me.  Clearly patching is important to all systems management and should be a part of any organization's security hygiene.  Further, PCI does require the patching of systems to maintain compliance.  So it's important to mention that organizations should not simply stop patching their systems; and I want to believe that was not the speakers intent. So let's look at PCI requirement 6: "Unscrupulous individuals use security vulnerabilities to gain privileged access to systems. Many of these vulnerabilities are fixed by vendor- provided security patches, which must be installed by the entities that manage the systems. All critical systems must have the most recently released, appropriate software patches to protect against exploitation and compromise of cardholder data by malicious individuals and malicious software." Notice the word "appropriate" in the requirement.  This is stated to give organizations some latitude and apply patches that make sense in their environment and that target the vulnerabilities in question.  Haven't we all seen a vulnerability scanner throw a false positive and flag some module and point to a recommended patch, only to realize that the module doesn't exist on our system?  Applying such a patch would obviously not be appropriate.  This does not mean an organization can ignore the fact they need to apply security patches.  It's pretty clear they must.  Of course, organizations have other options in terms of compliance when it comes to patching.  For example, they could remove a system from scope and make sure that system does not process or contain cardholder data.  [This may or may not be a significant undertaking.  I just wanted to point out that there are always options available.] PCI DSS requirement 6.1 also includes the following note: "Note: An organization may consider applying a risk-based approach to prioritize their patch installations. For example, by prioritizing critical infrastructure (for example, public-facing devices and systems, databases) higher than less-critical internal devices, to ensure high-priority systems and devices are addressed within one month, and addressing less critical devices and systems within three months." Notice there is no mention to stop patching one's systems.  And the note also states organization may apply a risk based approach. [A smart approach but also not mandated].  Such a risk based approach is not intended to remove the requirement to patch one's systems.  It is meant, as stated, to allow one to prioritize their patch installations.   So what does this mean to an organization that must comply with PCI DSS and maintain some sanity around their patch management and overall operational readiness?  I for one like to think that most organizations take a common sense and balanced approach to their business and security posture.  If patching is becoming an unbearable task, review why that is the case and possibly look for means to improve operational efficiencies; but also recognize that security is important to maintaining the availability and integrity of one's systems.  Likewise, whether we like it or not, the cyber-world we live in is getting more complex and threatening - and I dont think it's going to get better any time soon.

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  • Introducing MySQL for Excel

    - by Javier Treviño
    As part of the new product initiatives of the MySQL on Windows group we released a tool that makes the task of getting data in and out of a MySQL Database very friendly and intuitive, and we paired it with one of the preferred applications for data analysis and manipulation in Windows platforms, MS Excel. Welcome to MySQL for Excel, an add-in that is installed and accessed from within the MS Excel’s Data tab offering a wizard-like interface arranged in an elegant yet simple way to help users browse MySQL Schemas, Tables, Views and Procedures and perform data operations against them using MS Excel as the vehicle to drive the data in and out MySQL Databases. One of the coolest features we had in mind designing MySQL for Excel is simplicity. MS Excel is simple and easy to work with, thus liked by many Windows users because they don’t have to be software gurus to use it.  We applied the same principle by targeting MySQL for Excel to any kind of user, so if you are already familiarized with Excel’s interface you will find yourself working with MySQL data in no time. MySQL for Excel is shipped within the MySQL Installer as one of the tools in the suite; if prerequisites are already installed (.NET Framework 4.0, Visual Studio Tools for Office 4.0 and of course MS Office), installing the add-in involves a very few clicks and no further setup to use it. Being an Excel Add-In there is no executable file involved after the installation, running MS Excel and opening the add-in from its Data tab is all that is required. MySQL for Excel automatically integrates with MySQL Workbench (if installed) to share the same connections to MySQL Server installations, that way connections are defined just once in either product saving time.  Opening the Add-In brings the Welcome Panel at the right side of the Excel main window from which connections to MySQL Servers are shown grouped by Local VS Remote connections; then users can open any of those connections by double-clicking it and entering the password of the used account.  Additionally a user can create a connection by clicking on the New Connection action label or edit connections through MySQL Workbench (if installed) by clicking on the Manage Connections action label. Once a connection is opened, the Schema Selection panel is shown, at the top of it the selected connection (connection name, hostname/IP and username). Just below, a list of schemas is displayed where User Schemas are grouped first followed by System Schemas; users can double-click any selected schema to go to the next panel or select a schema and clicking the Next > button. Users can alternatively click on the < Back button to go back to the Welcome Panel to close the current connection and open a new one; also by clicking the Create New Schema action label they can create an empty new schema. Once a schema is opened the DB Object Selection panel is shown, this is actually the place where the fun stuff happens; from here users are able to perform actions against MySQL Tables, Views and Procedures. ">The actions available here are about importing data from a MySQL Table, View or Procedure to Excel, exporting Excel data to a new MySQL Table, appending Excel data to an existing MySQL Table or editing a MySQL Table’s data by using an Excel Worksheet as a user interface to update data in any row/column, insert new rows or delete existing rows in a very easy and friendly way. More blog posts will follow describing all of these actions, so stay tuned! Remember that your feedback is very important for us, so drop us a message: · MySQL on Windows (this) Blog - https://blogs.oracle.com/MySqlOnWindows/ · Forum - http://forums.mysql.com/list.php?172 · Facebook - http://www.facebook.com/mysql Cheers!

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  • My Take on Hadoop World 2011

    - by Jean-Pierre Dijcks
    I’m sure some of you have read pieces about Hadoop World and I did see some headlines which were somewhat, shall we say, interesting? I thought the keynote by Larry Feinsmith of JP Morgan Chase & Co was one of the highlights of the conference for me. The reason was very simple, he addressed some real use cases outside of internet and ad platforms. The following are my notes, since the keynote was recorded I presume you can go and look at Hadoopworld.com at some point… On the use cases that were mentioned: ETL – how can I do complex data transformation at scale Doing Basel III liquidity analysis Private banking – transaction filtering to feed [relational] data marts Common Data Platform – a place to keep data that is (or will be) valuable some day, to someone, somewhere 360 Degree view of customers – become pro-active and look at events across lines of business. For example make sure the mortgage folks know about direct deposits being stopped into an account and ensure the bank is pro-active to service the customer Treasury and Security – Global Payment Hub [I think this is really consolidation of data to cross reference activity across business and geographies] Data Mining Bypass data engineering [I interpret this as running a lot of a large data set rather than on samples] Fraud prevention – work on event triggers, say a number of failed log-ins to the website. When they occur grab web logs, firewall logs and rules and start to figure out who is trying to log in. Is this me, who forget his password, or is it someone in some other country trying to guess passwords Trade quality analysis – do a batch analysis or all trades done and run them through an analysis or comparison pipeline One of the key requests – if you can say it like that – was for vendors and entrepreneurs to make sure that new tools work with existing tools. JPMC has a large footprint of BI Tools and Big Data reporting and tools should work with those tools, rather than be separate. Security and Entitlement – how to protect data within a large cluster from unwanted snooping was another topic that came up. I thought his Elephant ears graph was interesting (couldn’t actually read the points on it, but the concept certainly made some sense) and it was interesting – when asked to show hands – how the audience did not (!) think that RDBMS and Hadoop technology would overlap completely within a few years. Another interesting session was the session from Disney discussing how Disney is building a DaaS (Data as a Service) platform and how Hadoop processing capabilities are mixed with Database technologies. I thought this one of the best sessions I have seen in a long time. It discussed real use case, where problems existed, how they were solved and how Disney planned some of it. The planning focused on three things/phases: Determine the Strategy – Design a platform and evangelize this within the organization Focus on the people – Hire key people, grow and train the staff (and do not overload what you have with new things on top of their day-to-day job), leverage a partner with experience Work on Execution of the strategy – Implement the platform Hadoop next to the other technologies and work toward the DaaS platform This kind of fitted with some of the Linked-In comments, best summarized in “Think Platform – Think Hadoop”. In other words [my interpretation], step back and engineer a platform (like DaaS in the Disney example), then layer the rest of the solutions on top of this platform. One general observation, I got the impression that we have knowledge gaps left and right. On the one hand are people looking for more information and details on the Hadoop tools and languages. On the other I got the impression that the capabilities of today’s relational databases are underestimated. Mostly in terms of data volumes and parallel processing capabilities or things like commodity hardware scale-out models. All in all I liked this conference, it was great to chat with a wide range of people on Oracle big data, on big data, on use cases and all sorts of other stuff. Just hope they get a set of bigger rooms next time… and yes, I hope I’m going to be back next year!

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  • Praise for Europe's Smart Metering & Conservation Efforts

    - by caroline.yu
    Recently, a writer at the Home Energy Team praised the UK for its efforts towards smart metering and energy conservation, with an article entitled UK Blazing A Trail With Smart Metering At Home? The article highlighted that the Department of Energy and Climate Change has announced that smart metering will be introduced in the next decade and that all UK households will have smart meters by the year 2020. In fact, the UK is not the only country striving to achieve carbon reduction targets, as many of its European counterparts have begun to take positive steps towards tackling the issue of energy conservation by implementing innovative new metering and billing technologies as well as promoting alternative energy solutions, such as wind and solar power. Since 1997, the states of the European Union, including France, Germany and Spain, have been working towards achieving a target of 12 percent renewable energy electricity by 2010. Germany in particular has made a significant achievement so far, having surpassed the target early in 2007. This success is largely due to the German Renewable Energy Act (EEG), which promoted the use of renewable energy. Recently, analysis from the European Wind Energy Association (EWEA) found that 21 of the EU Member States are meeting or exceeding their national target to achieve 20 percent renewable energy by 2020. However, six states - Belgium, Italy, Luxembourg, Malta, Bulgaria and Denmark - say they will not manage to reach their target through domestic action alone. Bulgaria and Denmark believe that with fresh national initiatives they could meet or exceed their targets, but others, including Italy, may need to import renewable energy from neighboring non-EU countries. Top achievers, according to the EWEA report, are Spain, which believes its renewable energy will reach 22.7 percent by 2020, as well as Germany, Estonia, Greece, Ireland, Poland, Slovakia and Sweden, who will all exceed their targets. "Importantly, the way that this renewable energy is controlled and distributed must be addressed in order to ensure its success," said Bastian Fischer, vice president and general manager EMEA, Oracle Utilities. "A smart gird infrastructure can enable utilities to deal with load distribution in times of increased need and ensure power is always available from these means. A smart grid also underpins the success of metering and billing technologies, such as smart metering, and allows utilities to deal with increased usage data and provide accurate billing." Outside of Europe, Australia has made significant steps towards improving water conservation. The Australian Department of Sustainability and Environment took some of the recent advancements made in the energy sector, including new metering and billing solutions, and applied them to the water industry, enhancing customer service and reducing consumption as a result. The adoption of smart metering in Europe is mainly driven by regulation, but significant technological improvements are being made the world over to change the way we use all kinds of energy. However, the developing markets are lagging behind. One of the primary reasons for this is the lack of infrastructure in place to use as a foundation for setting up energy-saving solutions, which is slowing the adoption of technologies such as smart meters. However, these countries do benefit from fewer outdated infrastructure and legacy systems, which is often cited by others as a difficult barrier to deploying new solutions. As a result, some countries should find new technologies easier to implement and adapt to in the immediate future, without this roadblock.

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  • Jersey non blocking client

    - by Pavel Bucek
    Although Jersey already have support for making asynchronous requests, it is implemented by standard blocking way - every asynchronous request is handled by one thread and that thread is released only after request is completely processed. That is OK for lots of cases, but imagine how that will work when you need to do lots of parallel requests. Of course you can limit (and its really wise thing to do, you do want control your resources) number of threads used for asynchronous requests, but you'll get another maybe not pleasant consequence - obviously processing time will incerase. There are few projects which are trying to deal with that problem, commonly named as async http clients. I didn't want to "re-implement a wheel" and I decided I'll use AHC - Async Http Client made by Jeanfrancois Arcand. There is also interesting implementation from Apache - HttpAsyncClient, but it is still in "very early stages of development" and others haven't been in similar or better shape as AHC. How this works? Non-blocking clients allow users to make same asynchronous requests as we can do with standard approach but implementation is different - threads are better utilized, they don't spend most of time in idle state. Simply described - when you make a request (send it over the network), you are waiting for reply from other side. And there comes main advantage of non-blocking approach - it uses these threads for further work, like making other requests or processing responses etc.. Idle time is minimized and your resources (threads) will be far better used. Who should consider using this? Everyone who is making lots of asynchronous requests. I haven't done proper benchmark yet, but some simple dumb tests are showing huge improvement in cases where lots of concurrent asynchronous requests are made in short period. Last but not least - this module is still experimental, so if you don't like something or if you have ideas for improvements/any feedback, feel free to comment this blog post, send mail to [email protected] or contact me personally. All feedback is greatly appreciated! maven dependency (will be present in java.net maven 2 repo by the end of the day): link: http://download.java.net/maven/2/com/sun/jersey/experimental/jersey-non-blocking-client <dependency> <groupId>com.sun.jersey.experimental</groupId> <artifactId>jersey-non-blocking-client</artifactId> <version>1.9-SNAPSHOT</version> </dependency> code snippet: ClientConfig cc = new DefaultNonBlockingClientConfig(); cc.getProperties().put(NonBlockingClientConfig.PROPERTY_THREADPOOL_SIZE, 10); // default value, feel free to change Client c = NonBlockingClient.create(cc); AsyncWebResource awr = c.asyncResource("http://oracle.com"); Future<ClientResponse> responseFuture = awr.get(ClientResponse.class); // or awr.get(new TypeListener<ClientResponse>(ClientResponse.class) { @Override public void onComplete(Future<ClientResponse> f) throws InterruptedException { ... } }); javadoc (temporary location, won't be updated): http://anise.cz/~paja/jersey-non-blocking-client/

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  • Use Case Actors - Primary versus Secondary

    - by Dave Burke
    The Unified Modeling Language (UML1) defines an Actor (from UseCases) as: An actor specifies a role played by a user or any other system that interacts with the subject. In Alistair Cockburn’s book “Writing Effective Use Cases” (2) Actors are further defined as follows: Primary Actor: The primary actor of a use case is the stakeholder that calls on the system to deliver one of its services. It has a goal with respect to the system – one that can be satisfied by its operation. The primary actor is often, but not always, the actor who triggers the use case. Supporting Actors: A supporting actor in a use case in an external actor that provides a service to the system under design. It might be a high-speed printer, a web service, or humans that have to do some research and get back to us. In a 2006 article (3) Cockburn refined the definitions slightly to read: Primary Actors: The Actor(s) using the system to achieve a goal. The Use Case documents the interactions between the system and the actors to achieve the goal of the primary actor. Secondary Actors: Actors that the system needs assistance from to achieve the primary actor’s goal. Finally, the Oracle Unified Method (OUM) concurs with the UML definition of Actors, along with Cockburn’s refinement, but OUM also includes the following: Secondary actors may or may not have goals that they expect to be satisfied by the use case, the primary actor always has a goal, and the use case exists to satisfy the primary actor. Now that we are on the same “page”, let’s consider two examples: A bank loan officer wants to review a loan application from a customer, and part of the process involves a real-time credit rating check. Use Case Name: Review Loan Application Primary Actor: Loan Officer Secondary Actors: Credit Rating System A Human Resources manager wants to change the job code of an employee, and as part of the process, automatically notify several other departments within the company of the change. Use Case Name: Maintain Job Code Primary Actor: Human Resources Manager Secondary Actors: None The first example is quite straight forward; we need to define the Secondary Actor because without the “Credit Rating System” we cannot successfully complete the Use Case. In other words, the goal of the Primary Actor is to successfully complete the Loan Application, but they need the explicit “help” of the Secondary Actor (Credit Rating System) to achieve this goal. The second example is where people sometimes get confused. Within OUM we would not include the “other departments” as Secondary Actors and therefore not include them on the Use Case diagram for the following reasons: The other departments are not required for the successful completion of the Use Case We are not expecting any response from the other departments (at least within the bounds of the Use Case under discussion) Having said that, within the detail of the Use Case Specification Main Success Scenario, we would include something like: “The system sends a notification to the related department heads (ref. Business Rule BR101)” Now let’s consider one final example. A Procurement Manager wants to place a “bid” for some goods using an On-Line Trading Community (B2B version of eBay) Use Case Name: Create Bid Primary Actor: Procurement Manager Secondary Actors: On-Line Trading Community You might wonder why the Trading Community is listed as a Secondary Actor, i.e. if all we are going to do is place a bid for a specific quantity of goods at a given price and send that off to the Trading Community, then why would the Trading Community need to “assist” in that Use Case? Well, once again, it comes back to the “User Experience” and how we want to optimize that when we think about our Use Case, and ultimately, when the developer comes to assembling some code. In this final example, the Procurement Manager cannot successfully complete the “Create Bid” Use Case until they receive an affirmative confirmation back from the Trading Community that the Bid has been accepted. Therefore, the Trading Community must become a Secondary Actor and be referenced both on the Use Case diagram and Use Case Specification. Any astute readers who are wondering about the “single sitting” rule will have to wait for a follow-up Blog entry to find out how that consideration can be factored in!!! Happy Use Case writing! (1) OMG Unified Modeling LanguageTM (OMG UML), Superstructure Version 2.4.1 (2) Cockburn, A, 2000, Writing Effective Use Case, Addison-Wesley Professional; Edition 1 (3) Cockburn, A, 2006 “Use Case fundamentals” viewed 20th March 2012, http://alistair.cockburn.us/Use+case+fundamentals

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  • Mind Reading with the Raspberry Pi

    - by speakjava
    Mind Reading With The Raspberry Pi At JavaOne in San Francisco I did a session entitled "Do You Like Coffee with Your Dessert? Java and the Raspberry Pi".  As part of this I showed some demonstrations of things I'd done using Java on the Raspberry Pi.  This is the first part of a series of blog entries that will cover all the different aspects of these demonstrations. A while ago I had bought a MindWave headset from Neurosky.  I was particularly interested to see how this worked as I had had the opportunity to visit Neurosky several years ago when they were still developing this technology.  At that time the 'headset' consisted of a headband (very much in the Bjorn Borg style) with a sensor attached and some wiring that clearly wasn't quite production ready.  The commercial version is very simple and easy to use: there are two sensors, one which rests on the skin of your forehead, the other is a small clip that attaches to your earlobe. Typical EEG sensors used in hospitals require lots of sensors and they all need copious amounts of conductive gel to ensure the electrical signals are picked up.  Part of Neurosky's innovation is the development of this simple dry-sensor technology.  Having put on the sensor and turned it on (it powers off a single AAA size battery) it collects data and transmits it to a USB dongle plugged into a PC, or in my case a Raspberry Pi. From a hacking perspective the USB dongle is ideal because it does not require any special drivers for any complex, low level USB communication.  Instead it appears as a simple serial device, which on the Raspberry Pi is accessed as /dev/ttyUSB0.  Neurosky have published details of the command protocol.  In addition, the MindSet protocol document, including sample code for parsing the data from the headset, can be found here. To get everything working on the Raspberry Pi using Java the first thing was to get serial communications going.  Back in the dim distant past there was the Java Comm API.  Sadly this has grown a bit dusty over the years, but there is a more modern open source project that provides compatible and enhanced functionality, RXTXComm.  This can be installed easily on the Pi using sudo apt-get install librxtx-java.  Next I wrote a library that would send commands to the MindWave headset via the serial port dongle and read back data being sent from the headset.  The design is pretty simple, I used an event based system so that code using the library could register listeners for different types of events from the headset.  You can download a complete NetBeans project for this here.  This includes javadoc API documentation that should make it obvious how to use it (incidentally, this will work on platforms other than Linux.  I've tested it on Windows without any issues, just by changing the device name to something like COM4). To test this I wrote a simple application that would connect to the headset and then print the attention and meditation values as they were received from the headset.  Again, you can download the NetBeans project for that here. Oracle recently released a developer preview of JavaFX on ARM which will run on the Raspberry Pi.  I thought it would be cool to write a graphical front end for the MindWave data that could take advantage of the built in charts of JavaFX.  Yet another NetBeans project is available here.  Screen shots of the app, which uses a very nice dial from the JFxtras project, are shown below. I probably should add labels for the EEG data so the user knows which is the low alpha, mid gamma waves and so on.  Given that I'm not a neurologist I suspect that it won't increase my understanding of what the (rather random looking) traces mean. In the next blog I'll explain how I connected a LEGO motor to the GPIO pins on the Raspberry Pi and then used my mind to control the motor!

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