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  • Record management system java web framework

    - by Kamil Tomšík
    We're currently reconsidering technologies and frameworks to get more agile with "simple" RMS CRUD-based projects. In short, short-living things like this Right now we have a custom extension on top of SmartGWT but after some time it has proven not to be flexible enough. I also personally dislike the java-js compilation process and the whole GWT codebase. Not only is the design ugly, it also makes certain low-level js things very complicated if not completely impossible. So what I'm looking for is: closest to web as possible, like JSF or possibly Tapestry, it is very important to be able get "low" and weave framework if necessary. Happens more often than we thought. datagrid capable - Ext.js & PrimeFaces looks pretty good, Vaadin does too. db-schema generators (optional, no matter in which way) If it were only on me, I'd probably stick to Ext.js + custom rest-based java solution, possibly generated from database schema (not sure about concrete tooling yet). I only have experience with vanilla Ext.js, vanilla GWT and JSF 2.0 / Seam, so it hard for me to judge or even propose other frameworks. What would be your proposition? What are the problems you've faced? What was your solution and how hard do you think it was to deal with them in "big picture"?

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  • SQL SERVER – ORDER BY ColumnName vs ORDER BY ColumnNumber

    - by pinaldave
    I strongly favor ORDER BY ColumnName. I read one of the blog post where blogger compared the performance of the two SELECT statement and come to conclusion that ColumnNumber has no harm to use it. Let us understand the point made by first that there is no performance difference. Run following two scripts together: USE AdventureWorks GO -- ColumnName (Recommended) SELECT * FROM HumanResources.Department ORDER BY GroupName, Name GO -- ColumnNumber (Strongly Not Recommended) SELECT * FROM HumanResources.Department ORDER BY 3,2 GO If you look at the result and see the execution plan you will see that both of the query will take the same amount of the time. However, this was not the point of this blog post. It is not good enough to stop here. We need to understand the advantages and disadvantages of both the methods. Case 1: When Not Using * and Columns are Re-ordered USE AdventureWorks GO -- ColumnName (Recommended) SELECT GroupName, Name, ModifiedDate, DepartmentID FROM HumanResources.Department ORDER BY GroupName, Name GO -- ColumnNumber (Strongly Not Recommended) SELECT GroupName, Name, ModifiedDate, DepartmentID FROM HumanResources.Department ORDER BY 3,2 GO Case 2: When someone changes the schema of the table affecting column order I will let you recreate the example for the same. If your development server where your schema is different than the production server, if you use ColumnNumber, you will get different results on the production server. Summary: When you develop the query it may not be issue but as time passes by and new columns are added to the SELECT statement or original table is re-ordered if you have used ColumnNumber it may possible that your query will start giving you unexpected results and incorrect ORDER BY. One should note that the usage of ORDER BY ColumnName vs ORDER BY ColumnNumber should not be done based on performance but usability and scalability. It is always recommended to use proper ORDER BY clause with ColumnName to avoid any confusion. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • RMS java web framework

    - by Kamil Tomšík
    We're currently reconsidering technologies and frameworks to get more agile with "simple" RMS CRUD-based projects. In short, short-living things like this Right now we have custom extension on top of SmartGWT but after some time it has proven not to be enough flexible. I also personally dislike that java-js compilation process and the whole GWT codebase. Not only its ugly designed, it also makes certain low-level js things very complicated if not completely impossible. So what I'm looking for is: closest to web as possible, like JSF or possibly Tapestry, it is very important to be able get "low" and weave framework if necessary. Happens more often than we thought. datagrid capable - Ext.js & PrimeFaces looks pretty good, Vaadin does too. db-schema generators (optional, no matter in which way) If it were only on me, I'd probably stick to Ext.js + custom rest-based java solution, possibly generated from database schema (not sure about concrete tooling yet) I only does have experience with vanilla Ext.js, vanilla GWT and JSF 2.0 / Seam, so it kinda hard for me to judge or even propose other frameworks. What would be your proposition? What are the problems you've faced, what was your solution and how hard do you think it was to deal with them in "big picture"?

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  • Entity Framework with large systems - how to divide models?

    - by jkohlhepp
    I'm working with a SQL Server database with 1000+ tables, another few hundred views, and several thousand stored procedures. We are looking to start using Entity Framework for our newer projects, and we are working on our strategy for doing so. The thing I'm hung up on is how best to split the tables into different models (EDMX or DbContext if we go code first). I can think of a few strategies right off the bat: Split by schema We have our tables split across probably a dozen schemas. We could do one model per schema. This isn't perfect, though, because dbo still ends up being very large, with 500+ tables / views. Another problem is that certain units of work will end up having to do transactions that span multiple models, which adds to complexity, although I assume EF makes this fairly straightforward. Split by intent Instead of worrying about schemas, split the models by intent. So we'll have different models for each application, or project, or module, or screen, depending on how granular we want to get. The problem I see with this is that there are certain tables that inevitably have to be used in every case, such as User or AuditHistory. Do we add those to every model (violates DRY I think), or are those in a separate model that is used by every project? Don't split at all - one giant model This is obviously simple from a development perspective but from my research and my intuition this seems like it could perform terribly, both at design time, compile time, and possibly run time. What is the best practice for using EF against such a large database? Specifically what strategies do people use in designing models against this volume of DB objects? Are there options that I'm not thinking of that work better than what I have above? Also, is this a problem in other ORMs such as NHibernate? If so have they come up with any better solutions than EF?

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  • Entity Object Based on PL/SQL

    - by Manoj Madhusoodanan
    This blog describes how to create a PL/SQL based Entity Object.Oracle application has number of APIs and each API will perform numerous number of tasks.We can create PL/SQL based EO which will directly invoke the PL/SQL stored procedure from the EO. Here I am demonstrating using a standard API FND_USER_PKG.CREATEUSER.This API has x_user_name and x_owner as mandatory parameter.My task is to create a user through OAF page which will accept User Name and Password. Following steps needs to be performed to achieve the above scenario. 1) Create FndUserEO as follows Include all the API parameters and WHO columns in the EO. Make UserName and EncryptedUserPassword ( Here I am not using Encrypted Password. The column name is same as table column so I am keeping the same) column as mandatory. Generate VO. 2) Edit FndUserEOImpl and add the following 3) Attach FndUserVO to AM 4) Create the UI 5) Deploy following files to middle tier and restart the server.  Entity Object: xxcust.oracle.apps.fnd.user.schema.server.FndUserEO.xml xxcust.oracle.apps.fnd.user.schema.server.FndUserEOImpl.java View Object: xxcust.oracle.apps.fnd.user.server.FndUserVO.xml xxcust.oracle.apps.fnd.user.server.FndUserVOImpl.javaUser Interface: xxcust.oracle.apps.fnd.user.webui.CreateFndUserCO.java xxcust.oracle.apps.fnd.user.webui.CreateFndUserPG.xmlYou can test by giving User Name and Password.

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  • Getting Internal Name of a Share Point List Fields

    - by Gino Abraham
    Over the last 2 weeks i was developing a tool to migrate Lotus notes data base to Share point. The mapping between Lotus notes schema and share point list schema was done manually in an xml file for out tool. To map the columns we wanted internal names of each field. There are quite a few ways to achieve this, have explained few below. If you want internal names for one or 2 columns you can do so by navigating to the list setting and clicking on the column name. Once you are in column's details, you can check the query string of the page. The last item in the query string would be field's internal. Replace all "%5f" with '_' will give you the field internal name. In my case there were more than 80 columns. I used power shell to get the list of columns with details. Open windows Powershell and paste the following script after modifying the url and list name. [System.Reflection.Assembly]::LoadWithPartialName("Microsoft.SharePoint") $site = new-object Microsoft.SharePoint.SPSite(http://yousitecolurl) $web = $site.OpenWeb() $list = $web.Lists["yourlist name"] $list.Fields | Format-Table Title, InternalName, TypeAsString I also found a tool in Codeplex.com which can generate a wrapper class for a list. The wrapper class will give you the guid and internal name for all fields in the list.  You can download the tool from http://imtech.codeplex.com/ Just enter the url in the text box and hit open. All the site content will be listed at the left hand side, expand the list, right click and select generate wrapper class.

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  • Announcing Upcoming SOA and JMS Introductory Blog Posts

    - by JuergenKress
    Beginning next week, SOA Proactive Support will begin posting a series of introductory blogs here on working with JMS in a SOA context. The posts will begin with how to set up JMS in WebLogic server, lead you through reading and writing to a JMS queue from the WLS Java samples, continue with how to access it from a SOA composite and, finally, describe how to set up and access AQ JMS (Advanced Queuing JMS) from a SOA/BPEL process. The posts will be of a tutorial nature and include step-by-step examples. Your questions and feedback are encouraged. The following topics are planned: How to Create a Simple JMS Queue in Weblogic Server 11g Using the QueueSend.java Sample Program to Send a Message to a JMS Queue Using the QueueReceive.java Sample Program to Read a Message from a JMS Queue How to Create an 11g BPEL Process Which Writes a Message Based on an XML Schema to a JMS Queue How to Create an 11g BPEL Process Which Reads a Message Based on an XML Schema from a JMS Queue How to Set Up an AQ JMS (Advanced Queueing JMS) for SOA Purposes How to Write to an AQ JMS Queue from a BPEL Process How to Read from an AQ JMS Queue from a BPEL Process Read the full article SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress,SOA JMS,JMS,WebLogic

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  • Announcing Upcoming SOA and JMS Introductory Blog Posts

    - by John-Brown.Evans
    Announcing Upcoming SOA and JMS Introductory Blog Posts Beginning next week, SOA Proactive Support will begin posting a series of introductory blogs here on working with JMS in a SOA context. The posts will begin with how to set up JMS in WebLogic server, lead you through reading and writing to a JMS queue from the WLS Java samples, continue with how to access it from a SOA composite and, finally, describe how to set up and access AQ JMS (Advanced Queuing JMS) from a SOA/BPEL process. The posts will be of a tutorial nature and include step-by-step examples. Your questions and feedback are encouraged. The following topics are planned: How to Create a Simple JMS Queue in Weblogic Server 11g Using the QueueSend.java Sample Program to Send a Message to a JMS Queue Using the QueueReceive.java Sample Program to Read a Message from a JMS Queue How to Create an 11g BPEL Process Which Writes a Message Based on an XML Schema to a JMS Queue How to Create an 11g BPEL Process Which Reads a Message Based on an XML Schema from a JMS Queue How to Set Up an AQ JMS (Advanced Queueing JMS) for SOA Purposes How to Write to an AQ JMS Queue from a BPEL Process How to Read from an AQ JMS Queue from a BPEL Process

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  • OWB 11gR2 &ndash; JDBC Helper Utility

    - by David Allan
    One of the common queries when importing the tables via JDBC with 11gR2 is determining why the import wizard doesn’t display the tables that you think it should. I often just use the script below to dump out the schemas, tables and columns that the JDBC driver is returning. This is useful in a few areas; to figure out what the schema name is returned to double check with the schema name you have used in the location (this is used in the DatabaseMetaData.getTables API call within the basic JDBC metadata import. to figure out the data types returned from the JDBC driver when you see columns skipped because of no datatype supported messages. also…I can do it via scripting and don’t need to recompile classes and stuff :-) Edit the tcl script and set the JDBC driver, the connection URL and the username and password (they are at the bottom of the script), the script then calls a basic tcl procedure which writes to standard out the schemas, tables and columns with various properties. For example I executed it using the XML JDBC driver from ODI over a simple customers XML file and it writes the following metadata; You can add more details as you need and execute from the OMBPlus panel within OWB. Download the sample tcl jdbc script here There is a bunch of really useful stuff on OTN documenting this area (start with the white paper here) that is worth checking out all related to the OWB SDK covering everything from platform definitions, custom metadata importers, application adapters, code templates etc. You can find a bunch of goodies on the OWB SDK here.

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  • How Mature is Your Database Change Management Process?

    - by Ben Rees
    .dbd-banner p{ font-size:0.75em; padding:0 0 10px; margin:0 } .dbd-banner p span{ color:#675C6D; } .dbd-banner p:last-child{ padding:0; } @media ALL and (max-width:640px){ .dbd-banner{ background:#f0f0f0; padding:5px; color:#333; margin-top: 5px; } } -- Database Delivery Patterns & Practices Further Reading Organization and team processes How do you get your database schema changes live, on to your production system? As your team of developers and DBAs are working on the changes to the database to support your business-critical applications, how do these updates wend their way through from dev environments, possibly to QA, hopefully through pre-production and eventually to production in a controlled, reliable and repeatable way? In this article, I describe a model we use to try and understand the different stages that customers go through as their database change management processes mature, from the very basic and manual, through to advanced continuous delivery practices. I also provide a simple chart that will help you determine “How mature is our database change management process?” This process of managing changes to the database – which all of us who have worked in application/database development have had to deal with in one form or another – is sometimes known as Database Change Management (even if we’ve never used the term ourselves). And it’s a difficult process, often painfully so. Some developers take the approach of “I’ve no idea how my changes get live – I just write the stored procedures and add columns to the tables. It’s someone else’s problem to get this stuff live. I think we’ve got a DBA somewhere who deals with it – I don’t know, I’ve never met him/her”. I know I used to work that way. I worked that way because I assumed that making the updates to production was a trivial task – how hard can it be? Pause the application for half an hour in the middle of the night, copy over the changes to the app and the database, and switch it back on again? Voila! But somehow it never seemed that easy. And it certainly was never that easy for database changes. Why? Because you can’t just overwrite the old database with the new version. Databases have a state – more specifically 4Tb of critical data built up over the last 12 years of running your business, and if your quick hotfix happened to accidentally delete that 4Tb of data, then you’re “Looking for a new role” pretty quickly after the failed release. There are a lot of other reasons why a managed database change management process is important for organisations, besides job security, not least: Frequency of releases. Many business managers are feeling the pressure to get functionality out to their users sooner, quicker and more reliably. The new book (which I highly recommend) Lean Enterprise by Jez Humble, Barry O’Reilly and Joanne Molesky provides a great discussion on how many enterprises are having to move towards a leaner, more frequent release cycle to maintain their competitive advantage. It’s no longer acceptable to release once per year, leaving your customers waiting all year for changes they desperately need (and expect) Auditing and compliance. SOX, HIPAA and other compliance frameworks have demanded that companies implement proper processes for managing changes to their databases, whether managing schema changes, making sure that the data itself is being looked after correctly or other mechanisms that provide an audit trail of changes. We’ve found, at Red Gate that we have a very wide range of customers using every possible form of database change management imaginable. Everything from “Nothing – I just fix the schema on production from my laptop when things go wrong, and write it down in my notebook” to “A full Continuous Delivery process – any change made by a dev gets checked in and recorded, fully tested (including performance tests) before a (tested) release is made available to our Release Management system, ready for live deployment!”. And everything in between of course. Because of the vast number of customers using so many different approaches we found ourselves struggling to keep on top of what everyone was doing – struggling to identify patterns in customers’ behavior. This is useful for us, because we want to try and fit the products we have to different needs – different products are relevant to different customers and we waste everyone’s time (most notably, our customers’) if we’re suggesting products that aren’t appropriate for them. If someone visited a sports store, looking to embark on a new fitness program, and the store assistant suggested the latest $10,000 multi-gym, complete with multiple weights mechanisms, dumb-bells, pull-up bars and so on, then he’s likely to lose that customer. All he needed was a pair of running shoes! To solve this issue – in an attempt to simplify how we understand our customers and our offerings – we built a model. This is a an attempt at trying to classify our customers in to some sort of model or “Customer Maturity Framework” as we rather grandly term it, which somehow simplifies our understanding of what our customers are doing. The great statistician, George Box (amongst other things, the “Box” in the Box-Jenkins time series model) gave us the famous quote: “Essentially all models are wrong, but some are useful” We’ve taken this quote to heart – we know it’s a gross over-simplification of the real world of how users work with complex legacy and new database developments. Almost nobody precisely fits in to one of our categories. But we hope it’s useful and interesting. There are actually a number of similar models that exist for more general application delivery. We’ve found these from ThoughtWorks/Forrester, from InfoQ and others, and initially we tried just taking these models and replacing the word “application” for “database”. However, we hit a problem. From talking to our customers we know that users are far less further down the road of mature database change management than they are for application development. As a simple example, no application developer, who wants to keep his/her job would develop an application for an organisation without source controlling that code. Sure, he/she might not be using an advanced Gitflow branching methodology but they’ll certainly be making sure their code gets managed in a repo somewhere with all the benefits of history, auditing and so on. But this certainly isn’t the case (yet) for the database – a very large segment of the people we speak to have no source control set up for their databases whatsoever, even at the most basic level (for example, keeping change scripts in a source control system somewhere). By the way, if this is you, Red Gate has a great whitepaper here, on the barriers people face getting a source control process implemented at their organisations. This difference in maturity is the same as you move in to areas such as continuous integration (common amongst app developers, relatively rare for database developers) and automated release management (growing amongst app developers, very rare for the database). So, when we created the model we started from scratch and biased the levels of maturity towards what we actually see amongst our customers. But, what are these stages? And what level are you? The table below describes our definitions for four levels of maturity – Baseline, Beginner, Intermediate and Advanced. As I say, this is a model – you won’t fit any of these categories perfectly, but hopefully one will ring true more than others. We’ve also created a PDF with a flow chart to help you find which of these groups most closely matches your team:  Download the Database Delivery Maturity Framework PDF here   Level D1 – Baseline Work directly on live databases Sometimes work directly in production Generate manual scripts for releases. Sometimes use a product like SQL Compare or similar to do this Any tests that we might have are run manually Level D2 – Beginner Have some ad-hoc DB version control such as manually adding upgrade scripts to a version control system Attempt is made to keep production in sync with development environments There is some documentation and planning of manual deployments Some basic automated DB testing in process Level D3 – Intermediate The database is fully version-controlled with a product like Red Gate SQL Source Control or SSDT Database environments are managed Production environment schema is reproducible from the source control system There are some automated tests Have looked at using migration scripts for difficult database refactoring cases Level D4 – Advanced Using continuous integration for database changes Build, testing and deployment of DB changes carried out through a proper database release process Fully automated tests Production system is monitored for fast feedback to developers   Does this model reflect your team at all? Where are you on this journey? We’d be very interested in knowing how you get on. We’re doing a lot of work at the moment, at Red Gate, trying to help people progress through these stages. For example, if you’re currently not source controlling your database, then this is a natural next step. If you are already source controlling your database, what about the next stage – continuous integration and automated release management? To help understand these issues, there’s a summary of the Red Gate Database Delivery learning program on our site, alongside a Patterns and Practices library here on Simple-Talk and a Training Academy section on our documentation site to help you get up and running with the tools you need to progress. All feedback is welcome and it would be great to hear where you find yourself on this journey! This article is part of our database delivery patterns & practices series on Simple Talk. Find more articles for version control, automated testing, continuous integration & deployment.

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  • sp_help

    - by David-Betteridge
    One of the nice things about SQL Server Management Studio (SSMS) is that you can highlight a table name in a script and press Alt + F1 to perform sp_help on it. Unfortunately I've never been able to use that feature as the majority of the tables in our product belong to a schema other than dbo.    On a long train journey back to York I wondered if I could solve this problem by writing my own replacement for sp_help (which I’ve called sp_help_table_schemas).  My version works by first checking the system tables to find out which schemas the table belongs to SELECT s.Name   --Find the schema FROM sys.schemas s  JOIN sys.tables t on t.schema_id = s.schema_id  WHERE t.name = 'Orders'It then dynamically calls the standard sp_help method but this time supplying the table owner as well.SET @cmd = 'EXEC sp_help ''' + QUOTENAME(@SchemaName) + '.' + QUOTENAME(@ObjectName) + ''' ;' ;           EXEC ( @cmd )Once I had proved the basics worked I wrapped it up into a stored procedure and deployed it to the master database on my laptop.  It was then just a question of going into Tools à Options within SSMS and defining the keyboard short cutA couple of notes You can’t amend the existing Alt+F1 entry to I went with Ctrl+F1.  You need to open new query window for the change to be picked upSo I can now highlight a table name and press Ctrl+F1 The completed script is attached.   Thanks go to Martin Bell who reviewed my stored procedure and give some valuable advice.

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  • Gathering statistics for an Oracle WebCenter Content Database

    - by Nicolas Montoya
    Have you ever heard: "My Oracle WebCenter Content instance is running slow. I checked the memory and CPU usage of the application server and it has plenty of resources. What could be going wrong?An Oracle WebCenter Content instance runs on an application server and relies on a database server on the back end. If your application server tier is running fine, chances are that your database server tier may host the root of the problem. While many things could cause performance problems, on active Enterprise Content Management systems, keeping database statistics updated is extremely important.The Oracle Database have a set of built-in optimizer utilities that can help make database queries more efficient. It is strongly recommended to update or re-create the statistics about the physical characteristics of a table and the associated indexes in order to maximize the efficiency of optimizers. These physical characteristics include: Number of records Number of pages Average record length The frequency with which you need to update statistics depends on how quickly the data is changing. Typically, statistics should be updated when the number of new items since the last update is greater than ten percent of the number of items when the statistics were last updated. If a large amount of documents are being added or removed from the system, the a post step should be added to gather statistics upon completion of this massive data change. In some cases, you may need to collect statistics in the middle of the data processing to expedite its execution. These proceses include but are not limited to: data migration, bootstrapping of a new system, records management disposition processing (typically at the end of the calendar year), etc. A DOCUMENTS table with a ten million rows will often generate a very different plan than a table with just a thousand.A quick check of the statistics for the WebCenter Content (WCC) Database could be performed via the below query:SELECT OWNER, TABLE_NAME, NUM_ROWS, BLOCKS, AVG_ROW_LEN,TO_CHAR(LAST_ANALYZED, 'MM/DD/YYYY HH24:MI:SS')FROM DBA_TABLESWHERE TABLE_NAME='DOCUMENTS';OWNER                          TABLE_NAME                       NUM_ROWS------------------------------ ------------------------------ ----------    BLOCKS AVG_ROW_LEN TO_CHAR(LAST_ANALYZ---------- ----------- -------------------ATEAM_OCS                      DOCUMENTS                            4172        46          61 04/06/2012 11:17:51This output will return not only the date when the WCC table DOCUMENTS was last analyzed, but also it will return the <DATABASE SCHEMA OWNER> for this table in the form of <PREFIX>_OCS.This database username could later on be used to check on other objects owned by the WCC <DATABASE SCHEMA OWNER> as shown below:SELECT OWNER, TABLE_NAME, NUM_ROWS, BLOCKS, AVG_ROW_LEN,TO_CHAR(LAST_ANALYZED, 'MM/DD/YYYY HH24:MI:SS')FROM DBA_TABLESWHERE OWNER='ATEAM_OCS'ORDER BY NUM_ROWS ASC;...OWNER                          TABLE_NAME                       NUM_ROWS------------------------------ ------------------------------ ----------    BLOCKS AVG_ROW_LEN TO_CHAR(LAST_ANALYZ---------- ----------- -------------------ATEAM_OCS                      REVISIONS                            2051        46         141 04/09/2012 22:00:22ATEAM_OCS                      DOCUMENTS                            4172        46          61 04/06/2012 11:17:51ATEAM_OCS                      ARCHIVEHISTORY                       4908       244         218 04/06/2012 11:17:49OWNER                          TABLE_NAME                       NUM_ROWS------------------------------ ------------------------------ ----------    BLOCKS AVG_ROW_LEN TO_CHAR(LAST_ANALYZ---------- ----------- -------------------ATEAM_OCS                      DOCUMENTHISTORY                      5865       110          72 04/06/2012 11:17:50ATEAM_OCS                      SCHEDULEDJOBSHISTORY                10131       244         131 04/06/2012 11:17:54ATEAM_OCS                      SCTACCESSLOG                        10204       496         268 04/06/2012 11:17:54...The Oracle Database allows to collect statistics of many different kinds as an aid to improving performance. The DBMS_STATS package is concerned with optimizer statistics only. The database sets automatic statistics collection of this kind on by default, DBMS_STATS package is intended for only specialized cases.The following subprograms gather certain classes of optimizer statistics:GATHER_DATABASE_STATS Procedures GATHER_DICTIONARY_STATS Procedure GATHER_FIXED_OBJECTS_STATS Procedure GATHER_INDEX_STATS Procedure GATHER_SCHEMA_STATS Procedures GATHER_SYSTEM_STATS Procedure GATHER_TABLE_STATS ProcedureThe DBMS_STATS.GATHER_SCHEMA_STATS PL/SQL Procedure gathers statistics for all objects in a schema.DBMS_STATS.GATHER_SCHEMA_STATS (    ownname          VARCHAR2,    estimate_percent NUMBER   DEFAULT to_estimate_percent_type                                                 (get_param('ESTIMATE_PERCENT')),    block_sample     BOOLEAN  DEFAULT FALSE,    method_opt       VARCHAR2 DEFAULT get_param('METHOD_OPT'),   degree           NUMBER   DEFAULT to_degree_type(get_param('DEGREE')),    granularity      VARCHAR2 DEFAULT GET_PARAM('GRANULARITY'),    cascade          BOOLEAN  DEFAULT to_cascade_type(get_param('CASCADE')),    stattab          VARCHAR2 DEFAULT NULL,    statid           VARCHAR2 DEFAULT NULL,    options          VARCHAR2 DEFAULT 'GATHER',    objlist          OUT      ObjectTab,   statown          VARCHAR2 DEFAULT NULL,    no_invalidate    BOOLEAN  DEFAULT to_no_invalidate_type (                                     get_param('NO_INVALIDATE')),  force             BOOLEAN DEFAULT FALSE);There are several values for the OPTIONS parameter that we need to know about: GATHER reanalyzes the whole schema     GATHER EMPTY only analyzes tables that have no existing statistics GATHER STALE only reanalyzes tables with more than 10 percent modifications (inserts, updates,   deletes) GATHER AUTO will reanalyze objects that currently have no statistics and objects with stale statistics. Using GATHER AUTO is like combining GATHER STALE and GATHER EMPTY. Example:exec dbms_stats.gather_schema_stats( -   ownname          => '<PREFIX>_OCS', -   options          => 'GATHER AUTO' -);

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  • Documenting your database with Visual Studio 2012 SSDT tools

    - by krislankford
    The title of this post is interesting and something I am wishing you and your colleagues had a better way to do. I understand as I am asked this question frequently. I couple of weeks ago I was asked the same question by a customer who documents their database using the ApexSQL Doc tools which uses the extended properties on objects to create automated documentation. I thought that was super interesting and went down the path to see how we could could support the creation of this documentation while leveraging the Visual Studio 2012 SSDT Tools. What I found is was rather intriguing. There is a property called “Description” on all objects in the SSDT tools. This property is rather subtle and I am betting overlooked. To be honest, this property has probably been there for a while and I just never discovered it. Adding text to this '”Description” property it allows Visual Studio to create the commands for the extended properties directly to your schema which should be version controlled. As I did more digging there seemed to be extended properties at every level in the SQL database objects. This fills some rather challenging gaps and allows organizations to manage SQL Schema using the Visual Studio SQL database tools while allowing a way to automatically document the database. This will also work in the automation of the creation and alter scripts that can be generated as part f an automated build system. Now we essentially get a way to store, build and document the database in a nice little ALM package. Happy Coding!

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  • Introducing Oracle Multitenant

    - by OracleMultitenant
    0 0 1 1142 6510 Oracle Corporation 54 15 7637 14.0 Normal 0 false false false EN-US JA X-NONE /* 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-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-language:JA;} The First Database Designed for the Cloud Today Oracle announced the general availability (GA) of Oracle Database 12c, the first database designed for the Cloud. Oracle Multitenant, new with Oracle Database 12c, is a key component of this – a new architecture for consolidating databases and simplifying operations in the Cloud. With this, the inaugural post in the Multitenant blog, my goal is to start the conversation about Oracle Multitenant. We are very proud of this new architecture, which we view as a major advance for Oracle. Customers, partners and analysts who have had previews are very excited about its capabilities and its flexibility. This high level review of Oracle Multitenant will touch on our design considerations and how we re-architected our database for the cloud. I’ll briefly describe our new multitenant architecture and explain it’s key benefits. Finally I’ll mention some of the major use cases we see for Oracle Multitenant. Industry Trends We always start by talking to our customers about the pressures and challenges they’re facing and what trends they’re seeing in the industry. Some things don’t change. They face the same pressures and the same requirements as ever: Pressure to do more with less; be faster, leaner, cheaper, and deliver services 24/7. Big companies have achieved scale. Now they want to realize economies of scale. As ever, DBAs are faced with the challenges of patching and upgrading large numbers of databases, and provisioning new ones.  Requirements are familiar: Performance, scalability, reliability and high availability are non-negotiable. They need ever more security in this threatening climate. There’s no time to stop and retool with new applications. What’s new are the trends. These are the techniques to use to respond to these pressures within the constraints of the requirements. With the advent of cloud computing and availability of massively powerful servers – even engineered systems such as Exadata – our customers want to consolidate many applications into fewer larger servers. There’s a move to standardized services – even self-service. Consolidation Consolidation is not new; companies have tried various different approaches to consolidation of databases in the cloud. One approach is to partition a powerful server between several virtual machines, one per application. A downside of this is that you have the resource and management overheads of OS and RDBMS per VM – that is, per application. Another is that you have replaced physical sprawl with virtual sprawl and virtual sprawl is still expensive to manage. In the dedicated database model, we have a single physical server supporting multiple databases, one per application. So there’s a shared OS overhead, but RDBMS process and memory overhead are replicated per application. Let's think about our traditional Oracle Database architecture. Every time we create a database, be it a production database, a development or a test database, what do we do? We create a set of files, we allocate a bunch of memory for managing the data, and we kick off a series of background processes. This is replicated for every one of the databases that we create. As more and more databases are fired up, these replicated overheads quickly consume the available server resources and this limits the number of applications we can run on any given server. In Oracle Database 11g and earlier the highest degree of consolidation could be achieved by what we call schema consolidation. In this model we have one big server with one big database. Individual applications are installed in separate schemas or table-owners. Database overheads are shared between all applications, which affords maximum consolidation. The shortcomings are that application changes are often required. There is no tenant isolation. One bad apple can spoil the whole batch. New Architecture & Benefits In Oracle Database 12c, we have a new multitenant architecture, featuring pluggable databases. This delivers all the resource utilization advantages of schema consolidation with none of the downsides. There are two parts to the term “pluggable database”: "pluggable", which is new, and "database", which is familiar.  Before we get to the exciting new stuff let’s discuss what hasn’t changed. A pluggable database is a fully functional Oracle database. It’s not watered down in any way. From the perspective of an application or an end user it hasn’t changed at all. This is very important because it means that no application changes are required to adopt this new architecture. There are many thousands of applications built on Oracle databases and they are all ready to run on Oracle Multitenant. So we have these self-contained pluggable databases (PDBs), and as their name suggests, they are plugged into a multitenant container database (CDB). The CDB behaves as a single database from the operations point of view. Very much as we had with the schema consolidation model, we only have a single set of Oracle background processes and a single, shared database memory requirement. This gives us very high consolidation density, which affords maximum reduction in capital expenses (CapEx). By performing management operations at the CDB level – “managing many as one” – we can achieve great reductions in operating expenses (OpEx) as well, but we retain granular control where appropriate. Furthermore, the “pluggability” capability gives us portability and this adds a tremendous amount of agility. We can simply unplug a PDB from one CDB and plug it into another CDB, for example to move it from one SLA tier to another. I'll explore all these new capabilities in much more detail in a future posting.  Use Cases We can identify a number of use cases for Oracle Multitenant. Here are a few of the major ones. 0 0 1 113 650 Oracle Corporation 5 1 762 14.0 Normal 0 false false false EN-US JA X-NONE /* 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-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman"; mso-fareast-language:JA;} Development / Testing where individual engineers need rapid provisioning and recycling of private copies of a few "master test databases" Consolidation of disparate applications using fewer, more powerful servers Software as a Service deploying separate copies of identical applications to individual tenants Database as a Service typically self-service provisioning of databases on the private cloud Application Distribution from ISV / Installation by Customer Eliminating many typical installation steps (create schema, import seed data, import application code PL/SQL…) - just plug in a PDB! High volume data distribution literally via disk drives in envelopes distributed by truck! - distribution of things like GIS or MDM master databases …various others! Benefits Previous approaches to consolidation have involved a trade-off between reductions in Capital Expenses (CapEx) and Operating Expenses (OpEx), and they’ve usually come at the expense of agility. With Oracle Multitenant you can have your cake and eat it: Minimize CapEx More Applications per server Minimize OpEx Manage many as one Standardized procedures and services Rapid provisioning Maximize Agility Cloning for development and testing Portability through pluggability Scalability with RAC Ease of Adoption Applications run unchanged It’s a pure deployment choice. Neither the database backend nor the application needs to be changed. In future postings I’ll explore various aspects in more detail. However, if you feel compelled to devour everything you can about Oracle Multitenant this very minute, have no fear. Visit the Multitenant page on OTN and explore the various resources we have available there. Among these, Oracle Distinguished Product Manager Bryn Llewellyn has written an excellent, thorough, and exhaustively detailed White Paper about Oracle Multitenant, which is available here.  Follow me  I tweet @OraclePDB #OracleMultitenant

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  • SharePoint: UI for ordering list items

    - by svdoever
    SharePoint list items have in the the base Item template a field named Order. This field is not shown by default. SharePoint 2007, 2010 and 2013 have a possibility to specify the order in a UI, using the _layouts page: {SiteUrl}/_layouts/Reorder.aspx?List={ListId} In SharePoint 2010 and 2013 it is possible to add a custom action to a list. It is possible to add a custom action to order list items as follows (SharePoint 2010 description): Open SharePoint Designer 2010 Navigate to a list Select Custom Actions > List Item Menu Fill in the dialog box: Open List Settings > Advanced Settings > Content Types, and set Allow management of content types to No  On List Settings select Column Ordering This results in the following UI in the browser: Selecting the custom Order Items action (under List Tools > Items) results in: You can change your custom action in SharePoint designer. On the list screen in the bottom right corner you can find the custom action: We now need to modify the view to include the order by adding the Order field to the view, and sorting on the Order field. Problem is that the Order field is hidden. It is possible to modify the schema of the Order field to set the Hidden attribute to FALSE. If we don’t want to write code to do it and still get the required result it is also possible to modify the view through SharePoint Designer: Modify the code of the view: This results in: Note that if you change the view through the web UI these changes are partly lost. If this is a problem modify the Order field schema for the list.

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  • TFS SQL Deployment Data Script

    - by Greg
    We are using TFS and SQL 2005 (looking to upgrade to SQL 2012 if that makes a difference). We store our database schema in a Visual Studio Database project (VS 2010). When code is released to live we currently use the Visual Studio Database Project to build a script for all our schema changes. The problem we have been getting is having to alter or add to that script to add/fix data for the deployment. For example if we add a new non-nullable column to an existing table we need to populate that column with data during the insert. Other times we may want to create new records in transactional tables (e.g. assign specific users to a new security access). Do Visual Studio Database Projects have a way to store these scripts that only need to be run once and somehow include them in the build? Does it know which scripts need to be run (for example if we are inserting default data we don't want to do that again a second time)? OR Is there a better way to manage these scripts?

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  • Entity Object Extension in Oracle Application R12

    - by Manoj Madhusoodanan
    In this blog I will explain how to perform Entity Object ( EO ) Extension.As a prerequisite please read my previous blog.I am doing this exercise based on PL/SQL EO. Following attributes are part of FndUserEO. Here I will add a validation to UserName attribute "Length should be > 5". Following steps need to perform. 1) Download all files of  "Entity Object Based on PL/SQL" to JDEV_USER_HOME/myprojects and JDEV_USER_HOME/myclasses.If you want to see the content of source java file decompile it and save it in JDEV_USER_HOME/myprojects. 2) Create new Entity Object XXFndUserEO as follows. Include all attributes of parent EO. 3) Add the validation code snippet to XXFndUserEOImpl.java as follows. 4) Create the substitution as follows. 5) Migrate files to $JAVA_TOP. xxcustom.oracle.apps.fnd.user.schema.server.XXFndUserEOImpl.javaxxcustom.oracle.apps.fnd.user.schema.server.XXFndUserEO.xml 6) Migrate the substitution.. 7) Bounce the server. 8) Verify the substitution has applied properly. Access Create User Page and create a User. You can see the validation message if user name length is less than 5. Give User Name as XXCUST4 and verify the table.   The FND_USER has created successfully.

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  • SQL to XML open data made simple

    - by drrwebber
    The perennial question for people is how to easily generate XML from SQL table content?  The latest CAM Editor release really tackles this head on by providing a powerful and simple toolset.  Firstly you can visually browse your SQL tables and then drag and drop from columns and tables into the XML structure editor.   This gives you a code-free method of describing the transformation you require.  So you do not need to know about the vagaries of XML and XSD schema syntax. Second you can map directly into existing industry domain XML exchange structures in the XML visual editor, again no need to wrestle with XSD schema, you have WYSIWYG visual control over what your output will look like. If you do not have a target XML structure and need to build one from scratch, then the CAM Editor makes this simple.  Switch the SQL viewer into designer mode, then take your existing SQL table and drag and drop it into the XML structure editor.  Automatically the XML wizard tool will take your SQL column names and definitions and create equivalent XML for you and insert the mappings. Simply save the structure template, and run the Open Data generator menu option, and your XML is built for you. Completely code-free template driven development. To see this in action, see our video demonstration links and then download the tools and samples and try it yourself.

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  • Search multiple tables

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

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  • What's wrong performing unit test against concrete implementation if your frameworks are not going to change?

    - by palm snow
    First a bit of background: We are re-architecting our product suite that was written 10 years ago and served its purpose. One thing that we cannot change is the database schema as we have 500+ client base using this system. Our db schema has over 150+ tables. We have decided on using Entity Framework 4.1 as DAL and still evaluating various frameworks for storing our business logic. I am investigation to bring unit testing into the mix but I also confused as to how far I need to go with setting up a full blown TDD environment. One aspect of setting up unit testing is by getting into implementing Repository, unit of work and mocking frameworks etc. This mean there will be cost and investment on the code-bloat associated with all these frameworks. I understand some of this could be auto-generated but when it comes to things like behaviors, that will be mostly hand written. Just to be clear, I am not questioning the important of unit testing your code. I am just not sure we need all its components (like repository, mocking etc.) when we are fairly certain of storage mechanism/framework (SQL Server/Entity Framework). All that code bloat with generic repositories make sense when you need a generic layers with ability to change this whenever you like however its very likely a YAGNI in our case. What we need is more of integration testing where we can unit-test our code with concrete repository objects and test data in database. In this scenario, just running integration test seem to be more beneficial in our case. Any thoughts if I am missing any thing here?

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  • GWT layout panels vs. CSS layout

    - by David
    I read an article entitled "Tags First GWT", in which the writer suggests using GWT for event-handling, and CSS for layout. I just don't know whether the benefit of GWT's cross-browser compatibility goodness outweighs the flexibility offered by pure CSS layout. GWT GWT 2.0 has some snazzy layout panels, but to get them to resize properly you really need to build the entire panel containment tree from the root panel down. It's an all-or-nothing thing, it seems. CSS You can use CSS to layout an application too, and I'm inclined to do just that, if only to justify my purchase of several books touting the 'semantic markup' gospel. The downside might be cross-browser incompatibilities, the prevalence of which I have yet to determine. Which way to go? What is your opinion? Are cross-browser problems bad enough, and prevalent enough, to warrant ditching my CSS books, and building with GWT layout panels?

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  • Rails route error? uninitialized constant ActiveResource::Base

    - by Marco
    I'm following the Getting Started with Rails guide but ran into an issue opening http://localhost:3000 Shell output: [2010-03-23 19:19:14] ERROR NameError: uninitialized constant ActiveResource::Base Error in the browser: Internal Server Error uninitialized constant ActiveResource::Base WEBrick/1.3.1 (Ruby/1.8.7/2009-06-12) at localhost:3000 I followed the directions exactly as they were specified in the guide: Ran rails generate controller home index I removed index.html Added root :to = "home#index" to config/routes.rb I checked app/views/home/index.html.erb and it is indeed there. I then used rails server to launch the server. At first attempt the browser loads a blank page, but afterwards starts showing the browser error above. Why is it that Rails can't locate the index.html.erb file? Or is the error something different? - Running Rails 3.0beta with Ruby 1.8.7

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  • Is it possible to sendkeys / Post Message directly to a HtmlElement rather than to a C# webbrowser

    - by Jakub
    I would like to send keys to a c# web browser control element directly, not just the window with the correct focus. Right now I am able to send a key using PostMessage and documentHandle and focus like this i.e. Pseudo Code HtmlElement el = getelement(); el.Focus(); IntPtr docptr = browser.Handle; PostMessage(docptr,WM_KEYDOWN,1,0); .... KEYCHAR, KEYUP.. I was wondering if anyone knows of any way to be able to do this in a background, so that the focus is not on the element. Basically is there a way to get a IntPtr to the HtmlElement itself, than use that instead in the PostMessage or SendKeys API rather than the browser handle/ptr.

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  • Can I use a MIME type declaration to get an HTML file to open in MS Word?

    - by Toph
    Bill James wrote: I was able to render an HTML page with the MIME type set to "application/msword", which caused the browser to spawn Word which imported the html just fine, allowing edits and saving just as if I'd output a real Word doc. That sounds great to me, but I haven't been able to get it to work in any browser (Chrome/FF/Safari/Opera/IE on Win7 running Word 2010 beta). I tried changing the MIME type in the HTTP headers of several pages via Tamper Data to application/msword, and I tried using the http-equiv meta tag <meta http-equiv="Content-type" content="application/msword"> on a local HTML file I tried opening from the browser, but neither appeared to have any effect. I don't really have a clue with regard to HTTP headers and MIME types generally, so - any tips? Many thanks!

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  • How to configure a session timeout for Grails application?

    - by curd0
    In one of controllers in my Grails application I'm preserving a parameter value in a session variable like this: session.myVariable = params.myValue After that, I can access the saved value from different controllers/GSP-pages as long as I actively use the app. However, if I don't use my app for a while, even though my browser window is still open, the session variable looses it's value. Does this happens because the session expires? I was under impression that a session lives until the browser window is still open, but apparently I was wrong. What should I do to ensure all session variables I define in my Grails app don't expire until the browser is closed? Is there any way to set session timeout manually? Thank you in advance for your answers!

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