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  • Django - how should I implement generic apps that have dependencies on other generic apps?

    - by MikeRand
    Hi all, I'm using Marty Alchin's Django app that creates historical records (add, change, delete) based on models found in other Django apps (found in chapter 11 of Pro Django). Question: how do I implement this historical_records app into my other generic Django apps while still maintaining loose coupling? For example, I have a generic app (forecast) that manages a Forecast (of any other model). For one project, I'd like to use historical_records so that I can track changes to a Forecast instance. But I don't want to require all future projects that might want to use forecast to also use historical_records. Any guidance would be greatly appreciated. Thanks, Mike

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  • Next steps for Asp.Net C# developer (RoR vs Python Django vs PhP Drupal)

    - by ProfessorB
    A majority of my web development experience has been on the .Net stack (mainly Asp.net C#). I am looking to learn something new in my spare time, for the use of personal projects and possibly for use professionally (as an ISV). I know some Python, done some scripting with it in the past, nothing on the web though. Php has been around for a long time and RoR has gained a lot of popularity. Are there any developers from the .NET world that have migrated over to one or more of the other platforms? If so, which do you prefer and why? Which would you suggest and why?

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  • What sorts of tools make a Django Developer valuable? [closed]

    - by MrOodles
    I am a Django Consultant and I want to increase the value that I provide to clients. My first question was an epic failure according to the FAQ. So I'll try again before I delete it. What types of tools should a Django developer have in his tool belt to increase the value to the client? Would a collection of project templates be useful? Are there open-source project templates available that can be forked and altered? Is there a proper way to configure templates to include dependencies for certain types of projects? What about deployment scripts using tools like Puppet or Chef? Does it make a lot of sense to fork Django apps on GitHub and make contributions to open source projects there? Would clients percieve extra value in programmers that are contributing to open source projects? Are there industry best practices for implementing continuous integration in a Django project? I want the answer to be open ended, as I'm at the beginning of my research. I am curious to know what sorts of tools other Django consultants use on a daily and per-project basis, and how they use them.

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  • Show models.ManyToManyField as inline, with the same form as models.ForeignKey inline

    - by Kristian
    I have a model similar to the following (simplified): models.py class Sample(models.Model): name=models.CharField(max_length=200) class Action(models.Model): samples=models.ManyToManyField(Sample) title=models.CharField(max_length=200) description=models.TextField() Now, if Action.samples would have been a ForeignKey instead of a ManyToManyField, when I display Action as a TabularInline in Sample in the Django Admin, I would get a number of rows, each containing a nice form to edit or add another Action. However; when I display the above as an inline using the following: class ActionInline(admin.TabularInline): model=Action.samples.through I get a select box listing all available actions, and not a nifty form to create a new Action. My question is really: How do I display the ManyToMany relation as an inline with a form to input information as described? In principle it should be possible since, from the Sample's point of view, the situation is identical in both cases; Each Sample has a list of Actions regardless if the relation is a ForeignKey or a ManyToManyRelation. Also; Through the Sample admin page, I never want to choose from existing Actions, only create new or edit old ones.

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  • Django1.1 model field value preprocessing before returning

    - by Satoru.Logic
    Hi, all. I have a model class like this: class Note(models.Model): author = models.ForeignKey(User, related_name='notes') content = NoteContentField(max_length=256) NoteContentField is a custom sub-class of CharField that override the to_python method in purpose of doing some twitter-text-conversion processing. class NoteContentField(models.CharField): __metaclass__ = models.SubfieldBase def to_python(self, value): value = super(NoteContentField, self).to_python(value) from ..utils import linkify return mark_safe(linkify(value)) However, this doesn't work. When I save a Note object like this: note = Note(author=request.use, content=form.cleaned_data['content']) note.save() The conversed value is saved into the database, which is not what I wanna see. What I'm trying to do is to save the raw content into the database, and only make the conversion when the content attribute is later accessed. Would you please tell me what's wrong with this? Thanks to Pierre and Daniel. I have figured out what's wrong. I thought the text-conversion code should be in either to_python or get_db_prep_value, and that's wrong. I should override both of them, make to_python do the conversion and get_db_prep_value return the unconversed value: from ..utils import linkify class NoteContentField(models.CharField): __metaclass__ = models.SubfieldBase def to_python(self, value): self._raw_value = super(NoteContentField, self).to_python(value) return mark_safe(linkify(self._raw_value)) def get_db_prep_value(self, value): return self._raw_value I wonder if there is a better way to implement this?

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  • CharField values disappearing after save (readonly field)

    - by jamida
    I'm implementing simple "grade book" application where the teacher would be able to update the grades w/o being allowed to change the students' names (at least not on the update grade page). To do this I'm using one of the read-only tricks, the simplest one. The problem is that after the SUBMIT the view is re-displayed with 'blank' values for the students. I'd like the students' names to re-appear. Below is the simplest example that exhibits this problem. (This is poor DB design, I know, I've extracted just the relevant parts of the code to showcase the problem. In the real example, student is in its own table but the problem still exists there.) models.py class Grade1(models.Model): student = models.CharField(max_length=50, unique=True) finalGrade = models.CharField(max_length=3) class Grade1OForm(ModelForm): student = forms.CharField(max_length=50, required=False) def __init__(self, *args, **kwargs): super(Grade1OForm,self).__init__(*args, **kwargs) instance = getattr(self, 'instance', None) if instance and instance.id: self.fields['student'].widget.attrs['readonly'] = True self.fields['student'].widget.attrs['disabled'] = 'disabled' def clean_student(self): instance = getattr(self,'instance',None) if instance: return instance.student else: return self.cleaned_data.get('student',None) class Meta: model=Grade1 views.py from django.forms.models import modelformset_factory def modifyAllGrades1(request): gradeFormSetFactory = modelformset_factory(Grade1, form=Grade1OForm, extra=0) studentQueryset = Grade1.objects.all() if request.method=='POST': myGradeFormSet = gradeFormSetFactory(request.POST, queryset=studentQueryset) if myGradeFormSet.is_valid(): myGradeFormSet.save() info = "successfully modified" else: myGradeFormSet = gradeFormSetFactory(queryset=studentQueryset) return render_to_response('grades/modifyAllGrades.html',locals()) template <p>{{ info }}</p> <form method="POST" action=""> <table> {{ myGradeFormSet.management_form }} {% for myform in myGradeFormSet.forms %} {# myform.as_table #} <tr> {% for field in myform %} <td> {{ field }} {{ field.errors }} </td> {% endfor %} </tr> {% endfor %} </table> <input type="submit" value="Submit"> </form>

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  • android database leak found IllegalStateException

    - by saravanan
    04-20 16:53:39.010: ERROR/Database(419): Leak found 04-20 16:53:39.010: ERROR/Database(419): java.lang.IllegalStateException: mPrograms size 1 04-20 16:53:39.010: ERROR/Database(419): at android.database.sqlite.SQLiteDatabase.finalize(SQLiteDatabase.java:1668) 04-20 16:53:39.010: ERROR/Database(419): at dalvik.system.NativeStart.run(Native Method) 04-20 16:53:39.010: ERROR/Database(419): Caused by: java.lang.IllegalStateException: /data/data/com.example.search/databases/rlite.db SQLiteDatabase created and never closed 04-20 16:53:39.010: ERROR/Database(419): at android.database.sqlite.SQLiteDatabase.(SQLiteDatabase.java:1694) 04-20 16:53:39.010: ERROR/Database(419): at android.database.sqlite.SQLiteDatabase.openDatabase(SQLiteDatabase.java:738) 04-20 16:53:39.010: ERROR/Database(419): at android.database.sqlite.SQLiteDatabase.openOrCreateDatabase(SQLiteDatabase.java:760) 04-20 16:53:39.010: ERROR/Database(419): at android.database.sqlite.SQLiteDatabase.openOrCreateDatabase(SQLiteDatabase.java:753) 04-20 16:53:39.010: ERROR/Database(419): at android.app.ApplicationContext.openOrCreateDatabase(ApplicationContext.java:473) 04-20 16:53:39.010: ERROR/Database(419): at android.content.ContextWrapper.openOrCreateDatabase(ContextWrapper.java:193) 04-20 16:53:39.010: ERROR/Database(419): at android.database.sqlite.SQLiteOpenHelper.getWritableDatabase(SQLiteOpenHelper.java:98) 04-20 16:53:39.010: ERROR/Database(419): at com.example.search.Database.(Database.java:33) 04-20 16:53:39.010: ERROR/Database(419): at com.example.search.JobDetails.applyJob(JobDetails.java:120) 04-20 16:53:39.010: ERROR/Database(419): at com.example.search.JobDetails.jobdetailsAction(JobDetails.java:98) 04-20 16:53:39.010: ERROR/Database(419): at java.lang.reflect.Method.invokeNative(Native Method) 04-20 16:53:39.010: ERROR/Database(419): at java.lang.reflect.Method.invoke(Method.java:521) 04-20 16:53:39.010: ERROR/Database(419): at android.view.View$1.onClick(View.java:2026) 04-20 16:53:39.010: ERROR/Database(419): at android.view.View.performClick(View.java:2364) 04-20 16:53:39.010: ERROR/Database(419): at android.view.View.onTouchEvent(View.java:4179) 04-20 16:53:39.010: ERROR/Database(419): at android.widget.TextView.onTouchEvent(TextView.java:6540) 04-20 16:53:39.010: ERROR/Database(419): at android.view.View.dispatchTouchEvent(View.java:3709) 04-20 16:53:39.010: ERROR/Database(419): at android.view.ViewGroup.dispatchTouchEvent(ViewGroup.java:884) 04-20 16:53:39.010: ERROR/Database(419): at android.view.ViewGroup.dispatchTouchEvent(ViewGroup.java:884) 04-20 16:53:39.010: ERROR/Database(419): at android.view.ViewGroup.dispatchTouchEvent(ViewGroup.java:884) 04-20 16:53:39.010: ERROR/Database(419): at android.view.ViewGroup.dispatchTouchEvent(ViewGroup.java:884) 04-20 16:53:39.010: ERROR/Database(419): at android.view.ViewGroup.dispatchTouchEvent(ViewGroup.java:884) 04-20 16:53:39.010: ERROR/Database(419): at com.android.internal.policy.impl.PhoneWindow$DecorView.superDispatchTouchEvent(PhoneWindow.java:1659) 04-20 16:53:39.010: ERROR/Database(419): at com.android.internal.policy.impl.PhoneWindow.superDispatchTouchEvent(PhoneWindow.java:1107) 04-20 16:53:39.010: ERROR/Database(419): at android.app.Activity.dispatchTouchEvent(Activity.java:2061) 04-20 16:53:39.010: ERROR/Database(419): at com.android.internal.policy.impl.PhoneWindow$DecorView.dispatchTouchEvent(PhoneWindow.java:1643) 04-20 16:53:39.010: ERROR/Database(419): at android.view.ViewRoot.handleMessage(ViewRoot.java:1691) 04-20 16:53:39.010: ERROR/Database(419): at android.os.Handler.dispatchMessage(Handler.java:99) 04-20 16:53:39.010: ERROR/Database(419): at android.os.Looper.loop(Looper.java:123) 04-20 16:53:39.010: ERROR/Database(419): at android.app.ActivityThread.main(ActivityThread.java:4363) 04-20 16:53:39.010: ERROR/Database(419): at java.lang.reflect.Method.invokeNative(Native Method) 04-20 16:53:39.010: ERROR/Database(419): at java.lang.reflect.Method.invoke(Method.java:521) 04-20 16:53:39.010: ERROR/Database(419): at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:860) 04-20 16:53:39.010: ERROR/Database(419): at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:618) 04-20 16:53:39.010: ERROR/Database(419): at dalvik.system.NativeStart.main(Native Method) when i read the database show error like this. please do reply me

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  • Cache the result of a MySQLdb database query in memory

    - by ensnare
    Our application fetches the correct database server from a pool of database servers. So each query is really 2 queries, and they look like this: Fetch the correct DB server Execute the query We do this so we can take DB servers online and offline as necessary, as well as for load-balancing. But the first query seems like it could be cached to memory, so it only actually queries the database every 5 or 10 minutes or so. What's the best way to do this? Thanks.

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  • Database structure - is mySQL the right choice?

    - by Industrial
    Hi everyone, We are currently planning the database structure of a quite complex e-commerce web app that has flexibility as it's main cornerstone. Our app features a large amount of data (products) and we have run into a slight headache trying to keep performance high without compromizing normalization rules in the database, or leaving our highly beloved flexibility concept behind when integrating product options (also widely known as product attributes or parameters). Based on various references and sources available, we have made up lists on pros and cons of all major and well known database patterns to solve this. After comparing these, we have come up with two final alternatives: EAV (Entity-attribute-value model) : Pros: Database is used for all sorting. Cons: All related queries will include a number of joins between multiple tables in order to complete the collection of data. SLOB (Serialized LOB, also known as Facade?) : Pros: Very flexible. Keeping the number of necessary joins low compared to a EAV design pattern. Easy to update/add/remove data from each product. Cons: All sorting will be done by the application instead of the database. Will use lots of performance (memory?) when big datasets is processed by a large number of users. Our main questions: Which pattern/structure would you use, or maybe even a different solution? Is there better databases besides mySQL available nowadays to accomplish what we want? Thanks a lot! Reference: http://stackoverflow.com/questions/695752/product-table-many-kinds-of-product-each-product-has-many-parameters

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  • Small standalone SQL database similar to access in the old days(ie file database)

    - by Ian
    Hi, I am looking for a easy to use and deploy sql type database i can ship with a desktop application. This will be a small application user's can download from my website. In the vb6 days, access was the common database for small desktop apps, what is my option these days? Looking at SQL CE it seems to have a quite a few limitations such as count(distinct) etc SQL express needs to be installed and running as a service (could i include the SQL express deployments in my deployment so the user doesn't even know its been installed? I assume size would then be an issue) SQL 2005/2008 is not an option due to size and licensing restrictions. I would like to use c#, wpf and entity framework. What would seem to be the best options based on your knowledge and experience? Thanks

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  • How to Design a SaaS Database

    - by Josh Curren
    I have a web app that I built for a trucking company that I would like to offer as SaaS. What is the best way to design the database? Should I create a new database for each company? Or should I use one database with tables that have a prefix of the company name? Or should I Use one database with one of each table and just add a company id field to the tables? Or is there some other way to do it?

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  • SQLAuthority News – History of the Database – 5 Years of Blogging at SQLAuthority

    - by pinaldave
    Don’t miss the Contest:Participate in 5th Anniversary Contest   Today is this blog’s birthday, and I want to do a fun, informative blog post. Five years ago this day I started this blog. Intention – my personal web blog. I wrote this blog for me and still today whatever I learn I share here. I don’t want to wander too far off topic, though, so I will write about two of my favorite things – history and databases.  And what better way to cover these two topics than to talk about the history of databases. If you want to be technical, databases as we know them today only date back to the late 1960’s and early 1970’s, when computers began to keep records and store memories.  But the idea of memory storage didn’t just appear 40 years ago – there was a history behind wanting to keep these records. In fact, the written word originated as a way to keep records – ancient man didn’t decide they suddenly wanted to read novels, they needed a way to keep track of the harvest, of their flocks, and of the tributes paid to the local lord.  And that is how writing and the database began.  You could consider the cave paintings from 17,0000 years ago at Lascaux, France, or the clay token from the ancient Sumerians in 8,000 BC to be the first instances of record keeping – and thus databases. If you prefer, you can consider the advent of written language to be the first database.  Many historians believe the first written language appeared in the 37th century BC, with Egyptian hieroglyphics. The ancient Sumerians, not to be outdone, also created their own written language within a few hundred years. Databases could be more closely described as collections of information, in which case the Sumerians win the prize for the first archive.  A collection of 20,000 stone tablets was unearthed in 1964 near the modern day city Tell Mardikh, in Syria.  This ancient database is from 2,500 BC, and appears to be a sort of law library where apprentice-scribes copied important documents.  Further archaeological digs hope to uncover the palace library, and thus an even larger database. Of course, the most famous ancient database would have to be the Royal Library of Alexandria, the great collection of records and wisdom in ancient Egypt.  It was created by Ptolemy I, and existed from 300 BC through 30 AD, when Julius Caesar effectively erased the hard drives when he accidentally set fire to it.  As any programmer knows who has forgotten to hit “save” or has experienced a sudden power outage, thousands of hours of work was lost in a single instant. Databases existed in very similar conditions up until recently.  Cuneiform tablets gave way to papyrus, which led to vellum, and eventually modern paper and the printing press.  Someday the databases we rely on so much today will become another chapter in the history of record keeping.  Who knows what the databases of tomorrow will look like! Reference:  Pinal Dave (http://blog.SQLAuthority.com) Filed under: About Me, Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • SQL SERVER World Shapefile Download and Upload to Database Spatial Database

    During my recent, training I was asked by a student if I know a place where he can download spatial files for all the countries around the world, as well as if there is a way to upload shape files to a database. Here is a quick tutorial for it.VDS Technologies has all the spatial [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • 11gR2 DB 11.2.0.1 Certified with E-Business Suite on Solaris 10 (x86-64)

    - by Steven Chan
    Oracle Database 11g Release 2 version 11.2.0.1 is now certified with Oracle E-Business Suite 11i (11.5.10.2) and Release 12 (12.0.4 or higher, 12.1.1 or higher) on Oracle Solaris on x86-64 (64-bit) running Solaris 10. This announcement includes:Oracle Database 11gR2 version 11.2.0.1 Oracle Database 11gR2 version 11.2.0.1 Real Application Clusters (RAC) Transparent Data Encryption (TDE) Column Encryption with EBS 11i and R12Advanced Security Option (ASO)/Advanced Networking Option (ANO) Export/Import Process for E-Business Suite 11i and R12 Database Instances Transparent Data Encryption (TDE) Tablespace Encryption

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  • EPM 11.1.2 - R&A DATABASE CONNECTIONS DISAPPEAR FROM THE "DATABASE CONNECTION MANAGER

    - by Powder
    When accessing the database connection panel through Reporting and Analysis all previously entered database connection do not appear. This is due to a bug in the Windows SMB2 protocol. To work around this bug you have to disable the protocol. On Windows 2008 the protocol is automatically enabled. This needs to be done on both the servers and the clients. Note that “server” is the server which hosts RAF repository service and RM1 folder, “client” – server which hosts replicated Repository service that accesses repository files via network i.e. \\<server_host>\RM1  In order to disable SMB 2.0 on the server side, follow these steps:  1. Run "regedit" on Windows Server 2008 based computer.  2. Expand and locate the sub tree as follows.  HKLM\System\CurrentControlSet\Services\LanmanServer\Parameters  3. Add a new REG_DWORD key with the name of "Smb2" (without quotation mark)  Value name: Smb2  Value type: REG_DWORD  0 = disabled  1 = enabled 4. Set the value to 0 to disable SMB 2.0, or set it to 1 to re-enable SMB 2.0.  5. Reboot the server.  To disable SMB 2.0 for Windows Vista or Windows Server 2008 systems that are the “client” systems run the following commands:  sc config lanmanworkstation depend= bowser/mrxsmb10/nsi  sc config mrxsmb20 start= disabled  Note there's an extra " " (space) after the "=" sign.  To enable back SMB 2.0 for Windows Vista or Windows Server 2008 systems that  are the “client” systems run the following commands: sc config lanmanworkstation depend= bowser/mrxsmb10/mrxsmb20/nsi  sc config mrxsmb20 start= auto  Again, note there's an extra " " (space) after the "=" sign. 

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  • Database design and performance impact

    - by Craige
    I have a database design issue that I'm not quite sure how to approach, nor if the benefits out weigh the costs. I'm hoping some P.SE members can give some feedback on my suggested design, as well as any similar experiences they may have came across. As it goes, I am building an application that has large reporting demands. Speed is an important issue, as there will be peak usages throughout the year. This application/database has a multiple-level, many-to-many relationship. eg object a object b object c object d object b has relationship to object a object c has relationship to object b, a object d has relationship to object c, b, a Theoretically, this could go on for unlimited levels, though logic dictates it could only go so far. My idea here, to speed up reporting, would be to create a syndicate table that acts as a global many-to-many join table. In this table (with the given example), one might see: +----------+-----------+---------+ | child_id | parent_id | type_id | +----------+-----------+---------+ | b | a | 1 | | c | b | 2 | | c | a | 3 | | d | c | 4 | | d | b | 5 | | d | a | 6 | +----------+-----------+---------+ Where a, b, c and d would translate to their respective ID's in their respective tables. So, for ease of reporting all of a which exist on object d, one could query SELECT * FROM `syndicates` ... JOINS TO child and parent tables ... WHERE parent_id=a and type_id=6; rather than having a query with a join to each level up the chain. The Problem This table grows exponentially, and in a given year, could easily grow past 20,000 records for one client. Given multiple clients over multiple years, this table will VERY quickly explode to millions of records and beyond. Now, the database will, in time, be partitioned across multiple servers, but I would like (as most would) to keep the number of servers as low as possible while still offering flexibility. Also writes and updates would be exponentially longer (though possibly not noticeable to the end user) as there would be multiple inserts/updates/scans on this table to keep it in sync. Am I going in the right direction here, or am I way off track. What would you do in a similar situation? This solution seems overly complex, but allows the greatest flexibility and fastest read-operations. Sidenote 1 - This structure allows me to add new levels to the tree easily. Sidenote 2 - The database querying for this database is done through an ORM framework.

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  • Djangoo Foreign key queries

    - by Hulk
    In the following model: class header(models.Model): title = models.CharField(max_length = 255) created_by = models.CharField(max_length = 255) def __unicode__(self): return self.id() class criteria(models.Model): details = models.CharField(max_length = 255) headerid = models.ForeignKey(header) def __unicode__(self): return self.id() class options(models.Model): opt_details = models.CharField(max_length = 255) headerid = models.ForeignKey(header) def __unicode__(self): return self.id() If there is a row in the database for table header as Id=1, title=value-mart , createdby=CEO How do i query criteria and options tables to get all the values related to header table id=1 Also can some one please suggest a good link for queries examples, Thanks..

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  • List of resources for database continuous integration

    - by David Atkinson
    Because there is so little information on database continuous integration out in the wild, I've taken it upon myself to aggregate as much as possible and post the links to this blog. Because it's my area of expertise, this will focus on SQL Server and Red Gate tooling, although I am keen to include any quality articles that discuss the topic in general terms. Please let me know if you find a resource that I haven't listed! General database Continuous Integration · What is Database Continuous Integration? (David Atkinson) · Continuous Integration for SQL Server Databases (Troy Hunt) · Installing NAnt to drive database continuous integration (David Atkinson) · Continuous Integration Tip #3 - Version your Databases as part of your automated build (Doug Rathbone) · How the "migrations" approach makes database continuous integration possible (David Atkinson) · Continuous Integration for the Database (Keith Bloom) Setting up Continuous Integration with Red Gate tools · Continuous integration for databases using Red Gate tools - A technical overview (White Paper, Roger Hart and David Atkinson) · Continuous integration for databases using Red Gate SQL tools (Product pages) · Database continuous integration step by step (David Atkinson) · Database Continuous Integration with Red Gate Tools (video, David Atkinson) · Database schema synchronisation with RedGate (Vincent Brouillet) · Database continuous integration and deployment with Red Gate tools (David Duffett) · Automated database releases with TeamCity and Red Gate (Troy Hunt) · How to build a database from source control (David Atkinson) · Continuous Integration Automated Database Update Process (Lance Lyons) Other · Evolutionary Database Design (Martin Fowler) · Recipes for Continuous Database Integration: Evolutionary Database Development (book, Pramod J Sadalage) · Recipes for Continuous Database Integration (book, Pramod Sadalage) · The Red Gate Guide to SQL Server Team-based Development (book, Phil Factor, Grant Fritchey, Alex Kuznetsov, Mladen Prajdic) · Using SQL Test Database Unit Testing with TeamCity Continuous Integration (Dave Green) · Continuous Database Integration (covers MySQL, Perason Education) Technorati Tags: SQL Server,Continous Integration

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  • Oracle Database 11g Implementation Specialist - 14 a 16 Março, 2011

    - by Claudia Costa
    OPN Bootcamp Curso de Especialização em Software OracleCaro Parceiro, O novo programa de parcerias da Oracle assenta na Especialização dos seus seus parceiros. No último ano fiscal muitos parceiros já iniciaram as suas especializações nas temáticas a que estão dedicados e que são prioritárias para o seu negócio. Para apoiar o esforço e dedicação de muitos parceiros na obtenção da certificação dos seus recursos, a equipa local de alianças e canal lançou uma série de iniciativas. Entre elas, a criação deste OPN Bootcamp em conjunto com a Oracle University, especialmente dedicado à formação e preparação para os exames de Implementation, obrigatórios para obter a especialização Oracle Database 11g. Este curso de formação tem o objectivo de preparar os parceiros para o exame de Implementation a realizar já no dia 29 de Março, durante o OPN Satellite Event que terá lugar em Lisboa (outros detalhes sobre este evento serão brevemente comunicados). A sua presença neste curso de preparação nas datas que antecedem o evento OPN Satellite, é fundamental para que os seus técnicos fiquem habilitados a realizar o exame dia 29 de Março com a máxima capacidade e possibilidade de obter resultados positivos. Deste modo, no dia 29 de Março, podem obter a tão desejada certificação, com custos de exame 100% suportados pela Oracle. Contamos com a sua presença! Conteúdo: Oracle Database 11g: 2 Day DBA Release 2 + preparação para o exame 1Z0-154 Oracle Database 11g: Essentials Audiência: - Database Administrators - Technical Administrator- Technical Consultant- Support Engineer Pré Requisitos: Conhecimentos sobre sistema operativo Linux Duração: 3 dias + exame (1 dia)Horário: 9h00 / 18h00Data: 14 a 16 de Março Local: Centro de Formação Oracle Pessoas e Processos Rua do Conde Redondo, 145 - 1º - LisboaAcesso: Metro do Marquês de Pombal Custos de participação: 140€ pax/dia = 420€/pax (3 dias)* - Este preço inclui o exame de Implementation *Custo final para parceiro. Já inclui financiamento da equipa de Alianças e Canal Data e Local do Exame: 29 de Março - Instalações da Oracle University _______________________________________________________________________________________ Inscrições Gratuitas. Lugares Limitados.Reserve já o seu lugar : Email   Para mais informações sobre inscrição: Vítor PereiraFixo: 21 778 38 39 Móvel: 933777099 Fax: 21 778 38 40Para outras informações, por favor contacte: Claudia Costa / 21 423 50 27

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  • SQL SERVER – Repair a SQL Server Database Using a Transaction Log Explorer

    - by Pinal Dave
    In this blog, I’ll show how to use ApexSQL Log, a SQL Server transaction log viewer. You can download it for free, install, and play along. But first, let’s describe some disaster recovery scenarios where it’s useful. About SQL Server disaster recovery Along with database development and administration, you must work on a good recovery plan. Disasters do happen and no one’s immune. What you can do is take all actions needed to be ready for a disaster and go through it with minimal data loss and downtime. Besides creating a recovery plan, it’s necessary to have a list of steps that will be executed when a disaster occurs and to test them before a disaster. This way, you’ll know that the plan is good and viable. Testing can also be used as training for all team members, so they can all understand and execute it when the time comes. It will show how much time is needed to have your servers fully functional again and how much data you can lose in a real-life situation. If these don’t meet recovery-time and recovery-point objectives, the plan needs to be improved. Keep in mind that all major changes in environment configuration, business strategy, and recovery objectives require a new recovery plan testing, as these changes most probably induce a recovery plan changing and tweaking. What is a good SQL Server disaster recovery plan? A good SQL Server disaster recovery strategy starts with planning SQL Server database backups. An efficient strategy is to create a full database backup periodically. Between two successive full database backups, you can create differential database backups. It is essential is to create transaction log backups regularly between full database backups. Keep in mind that transaction log backups can be created only on databases in the full recovery model. In other words, a simple, but efficient backup strategy would be a full database backup every night, a transaction log backup every hour, or every 15 minutes. The frequency depends on how much data you can afford to lose and how busy the database is. Another option, instead of creating a full database backup every night, is to create a full database backup once a week (e.g. on Friday at midnight) and differential database backup every night until next Friday when you will create a full database backup again. Once you create your SQL Server database backup strategy, schedule the backups. You can do that easily using SQL Server maintenance plans. Why are transaction logs important? Transaction log backups contain transactions executed on a SQL Server database. They provide enough information to undo and redo the transactions and roll back or forward the database to a point in time. In SQL Server disaster recovery situations, transaction logs enable to repair a SQL Server database and bring it to the state before the disaster. Be aware that even with regular backups, there will be some data missing. These are the transactions made between the last transaction log backup and the time of the disaster. In some situations, to repair your SQL Server database it’s not necessary to re-create the database from its last backup. The database might still be online and all you need to do is roll back several transactions, such as wrong update, insert, or delete. The restore to a point in time feature is available in SQL Server, but for large databases, it is very time-consuming, as SQL Server first restores a full database backup, and then restores transaction log backups, one after another, up to the recovery point. During that time, the database is unavailable. This is where a SQL Server transaction log viewer can help. For optimal recovery, besides having a database in the full recovery model, it’s important that you haven’t manually truncated the online transaction log. This ensures that all transactions made after the last transaction log backup are still in the online transaction log. All you have to do is read and replay them. How to read a SQL Server transaction log? SQL Server doesn’t provide an option to read transaction logs. There are several SQL Server commands and functions that read the content of a transaction log file (fn_dblog, fn_dump_dblog, and DBCC PAGE), but they are undocumented. They require T-SQL knowledge, return a large number of not easy to read and understand columns, sometimes in binary or hexadecimal format. Another challenge is reading UPDATE statements, as it’s necessary to match it to a value in the MDF file. When you finally read the transactions executed, you have to create a script for it. How to easily repair a SQL database? The easiest solution is to use a transaction log reader that will not only read the transactions in the transaction log files, but also automatically create scripts for the read transactions. In the following example, I will show how to use ApexSQL Log to repair a SQL database after a crash. If a database has crashed and both MDF and LDF files are lost, you have to rely on the full database backup and all subsequent transaction log backups. In another scenario, the MDF file is lost, but the LDF file is available. First, restore the last full database backup on SQL Server using SQL Server Management Studio. I’ll name it Restored_AW2014. Then, start ApexSQL Log It will automatically detect all local servers. If not, click the icon right to the Server drop-down list, or just type in the SQL Server instance name. Select the Windows or SQL Server authentication type and select the Restored_AW2014 database from the database drop-down list. When all options are set, click Next. ApexSQL Log will show the online transaction log file. Now, click Add and add all transaction log backups created after the full database backup I used to restore the database. In case you don’t have transaction log backups, but the LDF file hasn’t been lost during the SQL Server disaster, add it using Add.   To repair a SQL database to a point in time, ApexSQL Log needs to read and replay all the transactions in the transaction log backups (or the LDF file saved after the disaster). That’s why I selected the Whole transaction log option in the Filter setup. ApexSQL Log offers a range of various filters, which are useful when you need to read just specific transactions. You can filter transactions by the time of the transactions, operation type (e.g. to read only data inserts), table name, SQL Server login that made the transaction, etc. In this scenario, to repair a SQL database, I’ll check all filters and make sure that all transactions are included. In the Operations tab, select all schema operations (DDL). If you omit these, only the data changes will be read so if there were any schema changes, such as a new function created, or an existing table modified, they will be ignored and database will not be properly repaired. The data repair for modified tables will fail. In the Tables tab, I’ll make sure all tables are selected. I will uncheck the Show operations on dropped tables option, to reduce the number of transactions. Click Next. ApexSQL Log offers three options. Select Open results in grid, to get a user-friendly presentation of the transactions. As you can see, details are shown for every transaction, including the old and new values for updated columns, which are clearly highlighted. Now, select them all and then create a redo script by clicking the Create redo script icon in the menu.   For a large number of transactions and in a critical situation, when acting fast is a must, I recommend using the Export results to file option. It will save some time, as the transactions will be directly scripted into a redo file, without showing them in the grid first. Select Generate reconstruction (REDO) script , change the output path if you want, and click Finish. After the redo T-SQL script is created, ApexSQL Log shows the redo script summary: The third option will create a command line statement for a batch file that you can use to schedule execution, which is not really applicable when you repair a SQL database, but quite useful in daily auditing scenarios. To repair your SQL database, all you have to do is execute the generated redo script using an integrated developer environment tool such as SQL Server Management Studio or any other, against the restored database. You can find more information about how to read SQL Server transaction logs and repair a SQL database on ApexSQL Solution center. There are solutions for various situations when data needs to be recovered, restored, or transactions rolled back. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Representation of data in application versus database

    - by user1815201
    I'm going to make an application that will be given data to put in a database. The data will for the most part be the same, but the way it is formatted will vary a lot (could be in anything from text files to .xls to .doc). I'm not a very experienced developer, but I can see some potential issues and I want to minimize them. First off I have decided to use the DAO pattern, so that I can easily support new file formats or file suddenly formatted in different ways. What I really wonder about though, is how I should manage the data itself within my application. I'm thinking that the database DAO should have models representing each table of the database with the same relations between them, to make the uploading process easy. But should the filesystem DAO's have to use the same models? I can imaging that when the database changes, the change will suddenly propagate throughout the entire system, all DAOs and models alike. And that is obviously a bad thing. I'm a little bit tired and out of time. Will update with what ever questions you have. Thanks!

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