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  • Contiguous Time Periods

    It is always better, and more efficient, to maintain referential integrity by using constraints rather than triggers. Sometimes it is not at all obvious how to do this, and the history table, and other temporal data tables, presented problems for checking data that were difficult to solve with constraints. Suddenly, Alex Kuznetsov came up with a good solution, and so now history tables can benefit from more effective integrity checking. Joe explains...

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  • Pre-filtering and shaping OData feeds using WCF Data Services and the Entity Framework - Part 2

    - by rajbk
    In the previous post, you saw how to create an OData feed and pre-filter the data. In this post, we will see how to shape the data. A sample project is attached at the bottom of this post. Pre-filtering and shaping OData feeds using WCF Data Services and the Entity Framework - Part 1 Shaping the feed The Product feed we created earlier returns too much information about our products. Let’s change this so that only the following properties are returned – ProductID, ProductName, QuantityPerUnit, UnitPrice, UnitsInStock. We also want to return only Products that are not discontinued.  Splitting the Entity To shape our data according to the requirements above, we are going to split our Product Entity into two and expose one through the feed. The exposed entity will contain only the properties listed above. We will use the other Entity in our Query Interceptor to pre-filter the data so that discontinued products are not returned. Go to the design surface for the Entity Model and make a copy of the Product entity. A “Product1” Entity gets created.   Rename Product1 to ProductDetail. Right click on the Product entity and select “Add Association” Make a one to one association between Product and ProductDetails.   Keep only the properties we wish to expose on the Product entity and delete all other properties on it (see diagram below). You delete a property on an Entity by right clicking on the property and selecting “delete”. Keep the ProductID on the ProductDetail. Delete any other property on the ProductDetail entity that is already present in the Product entity. Your design surface should look like below:    Mapping Entity to Database Tables Right click on “ProductDetail” and go to “Table Mapping”   Add a mapping to the “Products” table in the Mapping Details.   After mapping ProductDetail, you should see the following.   Add a referential constraint. Lets add a referential constraint which is similar to a referential integrity constraint in SQL. Double click on the Association between the Entities and add the constraint with “Principal” set to “Product”. Let us review what we did so far. We made a copy of the Product entity and called it ProductDetail We created a one to one association between these entities Excluding the ProductID, we made sure properties were not duplicated between these entities  We added a ProductDetail entity to Products table mapping (Entity to Database). We added a referential constraint between the entities. Lets build our project. We get the following error: ”'NortwindODataFeed.Product' does not contain a definition for 'Discontinued' and no extension method 'Discontinued' accepting a first argument of type 'NortwindODataFeed.Product' could be found …" The reason for this error is because our Product Entity no longer has a “Discontinued” property. We “moved” it to the ProductDetail entity since we want our Product Entity to contain only properties that will be exposed by our feed. Since we have a one to one association between the entities, we can easily rewrite our Query Interceptor like so: [QueryInterceptor("Products")] public Expression<Func<Product, bool>> OnReadProducts() { return o => o.ProductDetail.Discontinued == false; } Similarly, all “hidden” properties of the Product table are available to us internally (through the ProductDetail Entity) for any additional logic we wish to implement. Compile the project and view the feed. We see that the feed returns only the properties that were part of the requirement.   To see the data in JSON format, you have to create a request with the following request header Accept: application/json, text/javascript, */* (easy to do in jQuery) The result should look like this: { "d" : { "results": [ { "__metadata": { "uri": "http://localhost.:2576/DataService.svc/Products(1)", "type": "NorthwindModel.Product" }, "ProductID": 1, "ProductName": "Chai", "QuantityPerUnit": "10 boxes x 20 bags", "UnitPrice": "18.0000", "UnitsInStock": 39 }, { "__metadata": { "uri": "http://localhost.:2576/DataService.svc/Products(2)", "type": "NorthwindModel.Product" }, "ProductID": 2, "ProductName": "Chang", "QuantityPerUnit": "24 - 12 oz bottles", "UnitPrice": "19.0000", "UnitsInStock": 17 }, { ... ... If anyone has the $format operation working, please post a comment. It was not working for me at the time of writing this.  We have successfully pre-filtered our data to expose only products that have not been discontinued and shaped our data so that only certain properties of the Entity are exposed. Note that there are several other ways you could implement this like creating a QueryView, Stored Procedure or DefiningQuery. You have seen how easy it is to create an OData feed, shape the data and pre-filter it by hardly writing any code of your own. For more details on OData, Google it with your favorite search engine :-) Also check out the one of the most passionate persons I have ever met, Pablo Castro – the Architect of Aristoria WCF Data Services. Watch his MIX 2010 presentation titled “OData: There's a Feed for That” here. Download Sample Project for VS 2010 RTM NortwindODataFeed.zip

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  • What the Hekaton?

    - by Tony Davis
    Hekaton, the power behind SQL Server 2014′s In-Memory OLTP technology, is intended to make data operations run orders of magnitude faster on SQL Server. This works its magic partly by serving database workloads entirely from main memory, using memory-optimized table structures. It replaces the relational engine’s standard locking model with an optimistic concurrency model based on time-stamped row versions. Deeper down the Hekaton engine uses new, ‘latch free’ data structures. So far, so good, but performance improvements on this scale require a compromise, and the compromise is that these aren’t tables as we understand them. For the database developer, these differences are painful because they involve sacrificing some very important bits of the relational model. Most importantly, Hekaton tables don’t currently support FOREIGN KEY constraints or CHECK constraints, and you can’t put the checks in triggers because there aren’t any DML triggers either. Constraints allow a relational designer to enforce relational integrity and data integrity. Without them, of course, ‘bad data’ can get into our Hekaton tables. There is no easy way of preventing it. For several classes of database and data, this is a show-stopper. One may regard all these restrictions regretfully, seeing limited opportunity to try out Hekaton with current databases, but perhaps there is also a sudden glow of recognition. Isn’t this how we all originally imagined table variables were going to be, back in SQL 2005? And they have much the same restrictions. Maybe, instead of pretending that a currently-designed database can be ‘Hekatonized’ with a few mouse clicks, we should redesign databases for SQL 2014 to replace table variables with Hekaton tables, exploiting this technology for fast intermediate processing, and for the most part forget, for now, the idea of trying to convert our base relational tables into Hekaton tables. Few database developers would be averse to having their working tables running an order of magnitude faster, as long as it didn’t compromise the integrity of the data in the base tables.

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  • Using a random string to authenticate HMAC?

    - by mrwooster
    I am designing a simple webservice and want to use HMAC for authentication to the service. For the purpose of this question we have: a web service at example.com a secret key shared between a user and the server [K] a consumer ID which is known to the user and the server (but is not necessarily secret) [D] a message which we wish to send to the server [M] The standard HMAC implementation would involve using the secret key [K] and the message [M] to create the hash [H], but I am running into issues with this. The message [M] can be quite long and tends to be read from a file. I have found its very difficult to produce a correct hash consistently across multiple operating systems and programming languages because of hidden characters which make it into various file formats. This is of course bad implementation on the client side (100%), but I would like this webservice to be easily accessible and not have trouble with different file formats. I was thinking of an alternative, which would allow the use a short (5-10 char) random string [R] rather than the message for autentication, e.g. H = HMAC(K,R) The user then passes the random string to the server and the server checks the HMAC server side (using random string + shared secret). As far as I can see, this produces the following issues: There is no message integrity - this is ok message integrity is not important for this service A user could re-use the hash with a different message - I can see 2 ways around this Combine the random string with a timestamp so the hash is only valid for a set period of time Only allow each random string to be used once Since the client is in control of the random string, it is easier to look for collisions I should point out that the principle reason for authentication is to implement rate limiting on the API service. There is zero need for message integrity, and its not a big deal if someone can forge a single request (but it is if they can forge a very large number very quickly). I know that the correct answer is to make sure the message [M] is the same on all platforms/languages before hashing it. But, taking that out of the equation, is the above proposal an acceptable 2nd best?

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  • Developer’s Life – Every Developer is a Captain America

    - by Pinal Dave
    Captain America was first created as a comic book character in the 1940’s as a way to boost morale during World War II.  Aimed at a children’s audience, his legacy faded away when the war ended.  However, he has recently has a major reboot to become a popular movie character that deals with modern issues. When Captain America was first written, there was no such thing as a developer, programmer or a computer (the way we think of them, anyway).  Despite these limitations, I think there are still a lot of ways that modern Captain America is like modern developers. So how are developers like Captain America? Well, read on my list of reasons. Take on Big Projects Captain America isn’t afraid to take on big projects – and takes responsibility when the project is co-opted by the evil organization HYDRA.  Developers may not have super villains out there corrupting their work, but they know to keep on top of their projects and own what they do. Elderly Wisdom Steve Rogers, Captain America’s alter ego, was frozen in ice for decades, and brought back to life to solve problems. Developers can learn from this by respecting the opinions of their elders – technology is an ever-changing market, but the old-timers still have a few tricks up their sleeves! Don’t be Afraid of Change Don’t be afraid of change.  Captain America woke up to find the world he was accustomed to is now completely different.  He might have even felt his skills were no longer necessary.  He, and developers, know that everyone has their place in a team, though.  If you try your best, you will make it work. Fight Your Own Battle Sometimes you have to make it on your own.  Captain America is an integral part of the Avengers, but in his own movies, the other superheroes aren’t around to back him up.  Developers, too, must learn to work both within and with out a team. Solid Integrity One of Captain America’s greatest qualities is his integrity.  His determine to do what is right, keep his word, and act honestly earns him mockery from some of the less-savory characters – even “good guys” like Iron Man.  Developers, and everyone else, need to develop the strength of character to keep their integrity.  No matter your walk of life, there will be tempting obstacles.  Think of Captain America, and say “no.” There is a lot for all of us to learn from Captain America, to take away in our own lives, and admire in those who display it – I am specifically thinking of developers.  If you are enjoying this series as much as I am, please let me know who else you would like to see featured. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Developer, Superhero

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  • SQL SERVER – Not Possible – Delete From Multiple Table – Update Multiple Table in Single Statement

    - by pinaldave
    There are two questions which I get every single day multiple times. In my gmail, I have created standard canned reply for them. Let us see the questions here. I want to delete from multiple table in a single statement how will I do it? I want to update multiple table in a single statement how will I do it? The answer is – No, You cannot and you should not. SQL Server does not support deleting or updating from two tables in a single update. If you want to delete or update two different tables – you may want to write two different delete or update statements for it. This method has many issues – from the consistency of the data to SQL syntax. Now here is the real reason for this blog post – yesterday I was asked this question again and I replied my canned answer saying it is not possible and it should not be any way implemented that day. In the response to my reply I was pointed out to my own blog post where user suggested that I had previously mentioned this is possible and with demo example. Let us go over my conversation – you may find it interesting. Let us call the user DJ. DJ: Pinal, can we delete multiple table in a single statement or with single delete statement? Pinal: No, you cannot and you should not. DJ: Oh okey, if that is the case, why do you suggest to do that? Pinal: (baffled) I am not suggesting that. I am rather suggesting that it is not possible and it should not be possible. DJ: Hmm… but in that case why did you blog about it earlier? Pinal: (What?) No, I did not. I am pretty confident. DJ: Well, I am confident as well. You did. Pinal: In that case, it is my word against your word. Isn’t it? DJ: I have proof. Do you want to see it that you suggest it is possible? Pinal: Yes, I will be delighted too. (After 10 Minutes) DJ: Here are not one but two of your blog posts which talks about it - SQL SERVER – Curious Case of Disappearing Rows – ON UPDATE CASCADE and ON DELETE CASCADE – Part 1 of 2 SQL SERVER – Curious Case of Disappearing Rows – ON UPDATE CASCADE and ON DELETE CASCADE – T-SQL Example – Part 2 of 2 Pinal: Oh! DJ: I know I was correct. Pinal: Well, oh man, I did not mean there what you mean here. DJ: I did not understand can you explain it further. Pinal: Here we go. The example in the other blog is the example of the cascading delete or cascading update. I think you may want to understand the concept of the foreign keys and cascading update/delete. The concept of cascading exists to maintain data integrity. If there primary keys get deleted the update or delete reflects on the foreign key table to maintain the key integrity and data consistency. SQL Server follows ANSI Entry SQL with regard to referential integrity between PrimaryKey and ForeignKey columns which requires the inserting, updating, and deleting of data in related tables to be restricted to values that preserve the integrity. This is all together different concept than deleting multiple values in a single statement. When I hear that someone wants to delete or update multiple table in a single statement what I assume is something very similar to following. DELETE/UPDATE Table 1 (cols) Table 2 (cols) VALUES … which is not valid statement/syntax as well it is not ASNI standards as well. I guess, after this discussion with DJ, I realize I need to do a blog post so I can add the link to this blog post in my canned answer. Well, it was a fun conversation with DJ and I hope it the message is very clear now. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Joins, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • WebCenter Customer Spotlight: SICE

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution SummarySociedad Ibérica de Construcciones Eléctricas, S.A. (SICE) is a Spanish company specializes in engineering and technology integration for intelligent transport systems and environmental control systems. They had a large quantity of engineering and environmental planning documents  which they wanted to manage, classify and integrate with their existing enterprise resource planning (ERP) system. SICE adapted  Oracle WebCenter Content to classify and manage more than 30 different types, defined a security plan to ensure the integrity and recovery of various document types and integrated the document management solution with SICE’s third-party enterprise resource planning (ERP) system. SICE  accelerated time to market for all projects, minimized time required to identify and recover documents  and achieved greater efficiency in all operations. Company Overview Created in 1921, Sociedad Ibérica de Construcciones Eléctricas, S.A. (SICE) currently specializes in engineering and technology integration for intelligent transport systems and environmental control systems. It has more than 2,500 employees, with operations in Spain and various locations in Latin America, the United States, Africa, and Australia. Business Challenges They had a large quantity of engineering and environmental planning documents generated in research and projects which they wanted to manage, classify and integrate with their existing enterprise resource planning (ERP) system. Solution Deployed SICE worked with the Oracle Partner ABAST Solutions to evaluate and choose the best document management system, ultimately selecting Oracle WebCenter Content over other options including  Documentum, SharePoint, OpenText, and Alfresco.They adapted Oracle WebCenter Content to classify and manage more than 30 different types, defined a security plan to ensure the integrity and recovery of various document types and integrated the document management solution  with SICE’s third-party enterprise resource planning (ERP) system to accelerate incorporation with the documentation system and ensure integrity ERP system data. Business Results SICE  accelerated time to market for all projects by releasing reports and information that support and validate engineering projects, stored all documents in a single repository with organizationwide accessibility, minimizing time required to identify and recover documents needed for reports to initiate and execute engineering and building projects. Overall they achieved greater efficiency in all operations, including technical and impact report development and construction documentation management. “The correct and efficient management of information is vital to our environmental management activity. Oracle WebCenter Content  serves as a basis for knowledge management practices, with the objective of adding greater value to everything that we do.” Manuel Delgado, IT Project Engineering, Sociedad Ibérica de Construcciones Eléctricas, S.A Additional Information SICE Customer Snapshot Oracle WebCenter Content

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  • WebCenter Customer Spotlight: Regency Centers Corporation

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution SummaryRegency Centers Corporation, based in Jacksonville, FL, is a leading national owner, operator, and developer of grocery-anchored and community shopping centers. Regency grew rapidly over much of the last decade. To keep up with the monthly and yearly administrative processes required to manage thousands of tenants, including reconciling yearly pass-through expenses, the customer upgraded to Oracle’s JD Edwards EnterpriseOne Version 9.0 and deployed Oracle WebCenter Imaging, Process Management and Oracle BI Publisher, to streamline invoice processing and reporting. Using Oracle WebCenter Imaging - Regency accelerated and improved vendor invoice accuracy  which increases process integrity by identifying potential duplicate bills while enabling rapid approval of electronic invoice documents. Company Overview Regency Centers Corporation, based in Jacksonville, FL,  is a leading national owner, operator, and developer of grocery-anchored and community shopping centers. The company owns 367 centers, totaling nearly 50 million square feet, located in top markets throughout the United States. Founded in 1963 and operating as a fully integrated real estate company, Regency is a qualified real estate investment trust that is self-administered and self-managed, operating from 17 regional offices around the country.  Business Challenges Ensure continued support of vital business applications that drive the real estate developer’s key business processes, including property management and tenant payment processing Streamline year-end expense recognition and calculation, enabling faster tenant billing Move to a Web-based platform to deliver greater mobility and convenience to employees Minimize system customizations to reduce IT management costs and burden moving forward Solution DeployedRecency Centers Corporation worked with the  Oracle Partner ICS to upgrade to Oracle’s JD Edwards EnterpriseOne Version 9.0, migrating to a more user-friendly, Web-based platform and realizing numerous new efficiencies in property management and tenant payment processing. They accelerated and improved vendor invoice accuracy with Oracle WebCenter Imaging, which increases process integrity by identifying potential duplicate bills while enabling rapid approval of electronic invoice documents. Business Results Enabled faster and more accurate tenant billing for year-end expenses, accelerating collections of millions of dollars in revenue Gained full audit and drill-down capabilities that facilitate understanding various aspects of calculations for expense participation generation Increases process integrity by identifying potential duplicate bills while enabling rapid approval of electronic invoice documents Helped to ensure on-time payments to hundreds of vendors, including contractors and utilities "We have realized numerous efficiencies with Oracle’s JD Edwards EnterpriseOne 9.0, particularly around tenant billings. It accelerates our year-end expense reconciliation process and enables us to create and process billings more quickly.” James Chiang, Vice President of Real Estate Accounting Regency Centers Corporation Additional Information Regency Centers Corporation Customer Snapshot Oracle WebCenter Imaging JD Edwards EnterpriseOne Financials 9.0 JD Edwards EnterpriseOne Project Costing JD Edwards EnterpiseOne Real Estate Management Oracle Business Intelligence Publisher Oracle Essbase

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  • ZFS: Mirror vs. RAID-Z

    - by John Clayton
    I'm planning on building a file server using OpenSolaris and ZFS that will provide two primary services - be an iSCSI target for XenServer virtual machines & be a general home file server. The hardware I'm looking at includes 2x 4-port SATA controllers, 2x small boot drives (one on each controller), and 4x big drives for storage. This allows one free port per controller for upgrading the array down the road. Where I'm a little confused is how to setup the storage drives. For performance, mirroring appears to be king. I'm having a hard time seeing what the benefit would be of using RAIDZ over mirroring would be. With this setup I can see two options - two mirrored pools in one stripe, or RAIDZ2. Both should protect against 2 drive failures, and/or one controller failure...the only benefit of RAIDZ2 would be that any 2 drives could fail. The storage should be 50% of capacity in both cases, but the first should have much better performance, right? The other thing I'm trying to wrap my mind around is the benefit of mirrored arrays with more than two devices. For data integrity what, if any, would be the benefit of a RAIDZ over a three-way mirror? Since ZFS maintains file integrity what does RAIDZ bring to the table...doesn't ZFS's integrity checks negate the value of RAIDZ's parity?

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  • Using ZFS or XFS on a Xen guest running Linux

    - by zoot
    Background: I'm investigating the viability of using a filesystem other than ext3/4, with the ability to run snapshots for backup and rollback purposes. The servers under consideration are mailbox server nodes running on Linode's Xen based VPS platform. I'm particularly drawn to the various published benefits which ZFS offers in terms of data integrity and this year's stable release of native ZFS support in Linux - http://zfsonlinux.org ZFS appears to be the more thorough option in terms of benefits and simplicity (instead of LVM+XFS). Please note that I have little experience with ZFS (which I use on a local FreeNAS installation) and none with XFS, hence the post. To date, my servers are using ext3 filesystems, not managed under LVM. Question in detail: So, I have two questions. (1) Which of the two filesystems would be the better choice for the best of all of the following 3 aspects, running on a Xen Linux guest? Snapshots Data Integrity Performance (2) If ZFS is a viable option, is it practical to use ZRAID across Xen disk images to further enhance the solution for data integrity? Note: I'm reluctant to consider btrfs, given the many warnings I've read about in using it on production systems.

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  • Tripwire help Required

    - by ramaperumal
    I have created the policy file in Tripwire and also I have created the rules as well mentioned below: /opt/jboss/server/gis/conf -> $(SEC_CONFIG) +aipm +c+g+a+i+s+t+u+l+M; /usr/local/gtech/eseries/ -> $(SEC_CONFIG) +a+c+g+i+s+t+u+l+M ; After running the integrity check the output should be a(Access timestamp),c (Inode timestamp (create/modify),g (File owner's group ID),i (Inode number),s (File size),t (time stamp),u (File owner's user ID),l(File is increasing in size (a "growing file"),M (MD5 hash value). I am getting the output as below: [root@xxsi1242 tripwire]# tripwire --check Parsing policy file: /etc/tripwire/tw.pol *** Processing Unix File System *** Performing integrity check... Wrote report file: /var/lib/tripwire/report/xxsi1242.gtk.gtech.com-20131106-053812.twr Open Source Tripwire(R) 2.4.1 Integrity Check Report Report generated by: root Report created on: Wed 06 Nov 2013 05:38:12 AM EST Database last updated on: Wed 06 Nov 2013 05:31:17 AM EST =============================================================================== Report Summary: =============================================================================== Host name: xxsi1242.gtk.gtech.com Host IP address: 156.24.65.171 Host ID: None Policy file used: /etc/tripwire/tw.pol Configuration file used: /etc/tripwire/tw.cfg Database file used: /var/lib/tripwire/xxsi1242.gtk.gtech.com.twd Command line used: tripwire --check =============================================================================== Rule Summary: =============================================================================== ------------------------------------------------------------------------------- Section: Unix File System ------------------------------------------------------------------------------- Rule Name Severity Level Added Removed Modified --------- -------------- ----- ------- -------- Invariant Directories 66 0 0 0 Temporary directories 33 0 0 0 * Tripwire Data Files 100 0 0 1 Tech Stack 100 0 0 0 User binaries 66 0 0 0 Tripwire Binaries 100 0 0 0 * CLPS bins 100 0 0 2 CLPS Configuration files 100 0 0 0 ESCommon 100 0 0 0 Shell Binaries 100 0 0 0 OS executables and libraries 100 0 0 0 Security Control 100 0 0 0 ESCommon Configuration 100 0 0 0 (/etc/gtech/escommon) Total objects scanned: 12358 Total violations found: 3 =============================================================================== Object Summary: =============================================================================== ------------------------------------------------------------------------------- # Section: Unix File System ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- Rule Name: Tripwire Data Files (/etc/tripwire/tw.pol) Severity Level: 100 ------------------------------------------------------------------------------- Modified: "/etc/tripwire/tw.pol" ------------------------------------------------------------------------------- Rule Name: CLPS bins (/opt/jboss/server) Severity Level: 100 ------------------------------------------------------------------------------- Modified: "/opt/jboss/server/esapps1/data/hypersonic/localDB.lck" "/opt/jboss/server/gis/data/hypersonic/localDB.lck" =============================================================================== Error Report: =============================================================================== No Errors ------------------------------------------------------------------------------- *** End of report *** Note: In the output I only am getting the files which are modified. I need the detail output for this. But unfortunately I am not getting what I expected. Please help me to proced further.

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  • Strange network issue (ZIP file fails CRC test over VPN)

    - by Joe Schmoe
    We have a server in the office running Windows Server 2003 Our office is connected to our datacenter via hardware VPN (Linksys RV082 router in the office to CISCO router in the datacenter). There is a job that runs on the server in the office that does following: ZIP certain files from the server using 7Zip, copy ZIP file to a network share in the office and verify ZIP integrity, copy ZIP file to a network share in the data center and verify ZIP integrity. Problem is - verifying ZIP integrity for the file in the data center always fails. However, if I run 7Zip on the server in data center that exposes that share ZIP file verifies just fine, so it is not actually corrupted during copy operation. Additionally, I tried running ZIP on other computers in the office to verify ZIP file on datacenter file share and it verifies OK. I tried plugging server to the same network port where my workstation is connected using different cable (my workstation doesn't exhibit this problem) and ZIP verification still fails. So the problem is local to that specific server. On network adapter properties for the server in question there is no "Advanced" tab where one can usually configure a lot of network settings. Network card driver is up to date (Windows Update doesn't find anything newer and Lenovo website doesn't have any drivers for Windows 2003 for this computer model). Is there any other way to configure network setting via command line? What settings could be relevant to this problem?

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  • crc check in a sector of usb pendrive

    - by nithin
    I am trying to check for the data integrity in fat32 filesystem.Currently I have implemented fat on lpc2478. For the checking of data integrity, I come to know that each sector of a disk has checksum or CRC.But I wanted to find the location of the CRC in the sector.Can you please advice me on how to find the location of the CRC in a sector of usb pendrive? and will this CRC change with manufacturer of the pendrive.?

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  • how to increase the limit of exceptions in oracle

    - by Arunachalam
    how to increase the limit of exceptions in oracle ? i have a excel sheet in which their are about 900 records to be appended .so i converted the excel to dat file and wrote a batch file that read from the dat file and appends it to the concern table but the batch file stop execution once the exceptions reach 51(all integrity constrain parent key not found) so the remaining valid files are not updated .its very difficult to find which record has integrity constrain is there a way to increase this exception limit ?

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  • Django1.1 file based session backend multi-threaded solution

    - by Satoru.Logic
    Hi, all. I read django.contrib.sessions.backend.file today, in the save method of SessionStore there is something as the following that's used to achieve multi-threaded saving integrity: output_file_fd, output_file_name = tempfile.mkstemp(dir=dir, prefix=prefix + '_out_') renamed = False try: try: os.write(output_file_fd, self.encode(session_data)) finally: os.close(output_file_fd) os.rename(output_file_name, session_file_name) renamed = True finally: if not renamed: os.unlink(output_file_name) I don't quite understand how this solve the integrity problem.

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  • Database Modelling - Conceptually different entities but with near identical fields

    - by Andrew Shepherd
    Suppose you have two sets of conceptual entities: MarketPriceDataSet which has multiple ForwardPriceEntries PoolPriceForecastDataSet which has multiple PoolPriceForecastEntry Both different child objects have near identical fields: ForwardPriceEntry has MarketPriceDataSetId (foreign key to parent table) StartDate EndDate SimulationItemId ForwardPrice PoolPriceForecastEntry has PoolPriceForecastDataSetId (foreign key to parent table) StartDate EndDate SimulationItemId ForecastPoolPrice If I modelled them as separate tables, the only difference would be the foreign key, and the name of the price field. There has been a debate as to whether the two near identical tables should be merged into one. Options I've thought of to model this is: Just keep them as two independent, separate tables Have both sets in the one table with an additional "type" field, and a parent_id equalling a foreign key to either parent table. This would sacrifice referential integrity checks. Have both sets in the one table with an additional "type" field, and create a complicated sequence of joining tables to maintain referential integrity. What do you think I should do, and why?

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  • Database Modelling - Conceptually different entities with near identical fields

    - by Andrew Shepherd
    Suppose you have two sets of conceptual entities: MarketPriceDataSet which has multiple ForwardPriceEntries PoolPriceForecastDataSet which has multiple PoolPriceForecastEntry Both different child objects have near identical fields: ForwardPriceEntry has StartDate EndDate SimulationItemId ForwardPrice MarketPriceDataSetId (foreign key to parent table) PoolPriceForecastEntry has StartDate EndDate SimulationItemId ForecastPoolPrice PoolPriceForecastDataSetId (foreign key to parent table) If I modelled them as separate tables, the only difference would be the foreign key, and the name of the price field. There has been a debate as to whether the two near identical tables should be merged into one. Options I've thought of to model this is: Just keep them as two independent, separate tables Have both sets in the one table with an additional "type" field, and a parent_id equalling a foreign key to either parent table. This would sacrifice referential integrity checks. Have both sets in the one table with an additional "type" field, and create a complicated sequence of joining tables to maintain referential integrity. What do you think I should do, and why?

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  • deleting a large number of rows from a table

    - by Azeem
    We have a requirement to delete rows in the order of millions from multiple tables as a batch job (note that we are not deleting all the rows, we are deleting based on a timestamp stored in an indexed column). Obviously a normal DELETE takes forever (because of logging, referential constraint checking etc.). I know in the LUW world, we have ALTER TABLE NOT LOGGED INITIALLY but I can't seem to find the an equivalent SQL statement for DB2 v8 z/OS. Any one has any ideas on how to do this really fast? Also, any ideas on how to avoid the referential checks when deleting the rows? Please let me know.

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  • UG Session - Service Broker & Indexing

    - by NeilHambly
    SQL Server User Group Session in Reading this Wednesday (21st April 2010 6pm - 10pm) Along with Tony Rogerson MVP, I {Neil Hambly} will be presenting @ the forthcoming User Group meeting @ Microsoft Campus, Reading Tony will be presenting the session he gave @ SQLBits VI on Thinking Sets, Normalisation, Surrogate Keys, Referential Integrity This is very insightful and was a very popular session. I will be continuing my recent presentation on Indexed views @ London UG, this time i will be doing a...(read more)

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  • Using SET NULL and SET DEFAULT with Foreign Key Constraints

    Cascading Updates and Deletes, introduced with SQL Server 2000, were such an important, crucial feature that it is hard to imagine providing referential integrity without them. One of the new features in SQL Server 2005 that hasn't gotten a lot of press from what I've read is the new options for the ON DELETE and ON UPDATE clauses: SET NULL and SET DEFAULT. Let's take a look!

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  • Difference between DISTINCT and VALUES in DAX

    - by Marco Russo (SQLBI)
    I recently got a question about differences between DISTINCT and VALUES in DAX and thanks to Jeffrey Wang I created a simple example to describe the difference. Consider the two tables below: Fact and Dim tables, having a single column with the same name of the table. A relationship exists between Fact[Fact] and Dim[Dim]. This relationship generates a referential integrity violations in table Fact for rows containing C, which doesn’t exist in table Dim. In this case, an empty row is virtually inserted...(read more)

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  • Perm SSIS Developer Urgently Required

    - by blakmk
      Job Role To provide dedicated data services support to the company, by designing, creating, maintaining and enhancing database objects, ensuring data quality, consistency and integrity. Migrating data from various sources to central SQL 2008 data warehouse will be the primary function. Migration of data from bespoke legacy database’s to SQL 2008 data warehouse. Understand key business requirements, Liaising with various aspects of the company. Create advanced transformations of data, with focus on data cleansing, redundant data and duplication. Creating complex business rules regarding data services, migration, Integrity and support (Best Practices). Experience ·         Minimum 3 year SSIS experience, in a project or BI Development role and involvement in at least 3 full ETL project life cycles, using the following methodologies and tools o    Excellent knowledge of ETL concepts including data migration & integrity, focusing on SSIS. o    Extensive experience with SQL 2005 products, SQL 2008 desirable. o    Working knowledge of SSRS and its integration with other BI products. o    Extensive knowledge of T-SQL, stored procedures, triggers (Table/Database), views, functions in particular coding and querying. o    Data cleansing and harmonisation. o    Understanding and knowledge of indexes, statistics and table structure. o    SQL Agent – Scheduling jobs, optimisation, multiple jobs, DTS. o    Troubleshoot, diagnose and tune database and physical server performance. o    Knowledge and understanding of locking, blocks, table and index design and SQL configuration. ·         Demonstrable ability to understand and analyse business processes. ·         Experience in creating business rules on best practices for data services. ·         Experience in working with, supporting and troubleshooting MS SQL servers running enterprise applications ·         Proven ability to work well within a team and liaise with other technical support staff such as networking administrators, system administrators and support engineers. ·         Ability to create formal documentation, work procedures, and service level agreements. ·         Ability to communicate technical issues at all levels including to a non technical audience. ·         Good working knowledge of MS Word, Excel, PowerPoint, Visio and Project.   Location Based in Crawley with possibility of some remote working Contact me for more info: http://sqlblogcasts.com/blogs/blakmk/contact.aspx      

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  • one table is shared between several websites

    - by sami
    I have a static table that's shared by several websites. By static, I mean that the data is read but never updated by the websites. Currently, all websites are served from the same server but that may change. I want to minimize the need for creating/maintaining this table for each of the websites, so I thought about turning it to an xml file that's stored in a shared library that all websites have access to. The problem is I use an ORM and use forign key constraints to ensure integrity of the ids used from that table, so by removing that table out of the MySQL database into an XML file, will this affect the integrity of the ids coming from that table? My table looks like this <table name="entry"> <column name="id" type="INTEGER" primaryKey="true" autoIncrement="true" /> <column name="title" type="VARCHAR" size="500" required="true" /> </table> and I use it as a foreign key in other tables <table name="refer"> <column name="id" type="INTEGER" primaryKey="true" autoIncrement="true" /> <column name="linkto" type="INTEGER"/> <foreign-key foreignTable="entry"> <reference local="linkto" foreign="id" /> </foreign-key> </table> So I'm wondering if I remove that table out of the database, is there a way to retain that referential integrity? And of course are these any other efficient ways to do the same thing? I just don't want to have to repeat that table for several websites.

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  • Which tools should be used for data migration between environments?

    - by Paula Speranza-Hadley
    Ø  With the Oracle Utilities Application Framework based products there are a number of tools provided that can be used to transfer data from one environment to another. Ø  There are three main tools that implementations use: §  ConfigLab - A configurable copy facility is metadata aware and therefore understands the relationships between objects and by invoking the relevant maintenance objects validates the data copied. This utility uses the object validation to help ensure data integrity. Basically it is a set of configuration tables and a set of batch jobs to perform the migration of data. §  Bundling - A configurable release management tool that allows exporting of Advanced Configuration Environment based objects (business services, business objects, UI Maps etc) from one environment to another. §  Blueprint - An Oracle Utilities Software Development Kit (SDK) based tool to import metadata from the development environment to your initial testing environment. The utility is command line based and basically uses a text based configuration file to drive the utility on the source and target sides. Ø  Each tool has a role in an implementation but you must be careful to use the right tool for the right job within an implementation. The suggestions are as follows: §  Only use the Blueprint tool for migrating data from your development platform to your initial test environment. The blueprint tool is not designed to move large amounts of data and certainly is risky, if not used correctly, and can potentially break the integrity of your data. §  The SDK provides the configuration data that it is used for (mainly meta-data). This should not be extended as, while it can perform data migration on any data, it is not efficient and risky for certain types of configuration data. Ø  Additional information can be found in the following whitepaper:  Oracle Utilities Application Framework - Release Management - Software Configuration Management on MyOracle.com

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