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  • How to update a single table using trigger in MS SQL 2008

    - by Yakob-Jack
    I have a table PeroidicDeduction and the fields are ID(auto-increment),TotalDeduction(e.g.it can be loan),Paid(on which the deduction for each month),RemainingAmount, What I want is when every time I insert or update the table---RemainingAmount will get the value of TotalDeduction-SUM(Paid)....and writ the following trigger...but dosen't work for me CREATE TRIGGER dbo.UpdatePD ON PeroidicDedcution AFTER INSERT,UPDATE AS BEGIN UPDATE PeroidicDedcution SET REmaininAmoubnt=(SELECT TotalDeduction-(SELECT SUM(Paid) FROM PeroidicDeduction) FROM PeroidicDeduction) END NOTE: it is on a Single table

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  • Update Multiple Tables at a Time - SQL Server/T-SQL

    - by peace
    I have two tables, Customer and CustomerPhone. Single record in Customer can have multiple CustomerPhone records. As you see in the image below, Phone and Fax resides in CustomerPhone table whereas the rest of the fields resides in Customer table. If user want to edits a customer record, obviously i will have to update the record in Customer table and at least two records from CustomerPhone (Phone and Fax). I could write two update statements, one Update customerPhone and the second update Customer table. Is there a better solution?

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  • Help needed in AdventureWorks in a sql query.

    - by vaibhav
    I was just playing with adventureworks database in sqlserver. I got stuck in a query. I wanted to Select all titles from HumanResources.Employee which are either 'Male' or 'Female' but not both. i.e if title Accountant is Male and Female both I want to leave that title. I need only those titles where Gender is either Male or Female. I have done this till yet. select distinct(title) from humanresources.employee where gender='M' select distinct(title) from humanresources.employee where gender='F' Probably a join between these two queries, would work. But If you have any other solution, please let me know. It is not a homework. :) Thanks in advance.

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  • How to switch sql-2005 Select Case When T-sql Naming?

    - by soe
    select (Case Remark01 When 'l1' then type1 when 'l2' then type2 end) AS [?] --Remark .....want to switch name in here from mytable Example .... select (Case level When 'l1' then type1 ('l1' mean check constant string) when 'l2' then type2(('l2' mean check constant string)) end) AS (Case when 'l1' then [type01] Else [type02]) from mytable select level,type1,type2 from mytable I using two program this mytable one program is want to show menu only type1 only one program is want to show menu only type2 only I using one view using two program..

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  • Trace Flag 1211 Not Working - SQL Server 2008 R2

    - by psam
    During a SSIS load, when an employee table is getting updated, locking comes into effect. However, have disabled lock escalation on the table using the following statements: ALTER TABLE dbo.Employee SET (LOCK_ESCALATION = DISABLE) DBCC TRACEON (1211,-1) However, the table (object) does get locked and is held for almost an hour. The total no. of updates (insert, update, delete statements) are approx 200,000

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  • Is there a way to prevent Triggers from being disabled?

    - by HAdes
    I have a trigger on a table that should never be disabled. It performs certain checks and there have been occasions when other developers have disabled it to get around it. This is not good so I want to be able to turn off trigger disablement on this table alone. Is this possible? If not, any suggestions please. thanks.

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  • SQL Server 2008 : Standard or SQL Express

    - by dr
    Which is a better choice on a development box if you primarily develop Asp.Net applications and SSRS reports. I have never had to use the Express editions, so I don't really know the pros or cons. The cons I have listed for Standard+ editions are: toll it takes on system resources pain to attach database for projects pain to detach unused databases $$$ Pros: You have everything you need Management Studio features Easy move to production

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  • help with t-sql data aggregation

    - by stackoverflowuser
    Based on the following table Area S1 S2 S3 S4 -------------------- A1 5 10 20 0 A2 11 19 15 20 A3 0 0 0 20 I want to generate an output that will give the number of columns not having "0". So the output would be Area S1 S2 S3 S4 Count ------------------------- A1 5 10 20 0 3 A2 11 19 15 20 4 A3 0 0 0 20 1

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  • t-sql getting leaf nodes

    - by stackoverflowuser
    Based on following table (I have kept spaces between the rows for clarity) Path ----------- \node1\node2\node3 \node1\node2\node3\node5 \node1\node6\node3 \node1\node4\node3 \node1\node4\node3\node7 \node1\node4\node3\node8 \node1\node4\node3\node9 \node1\node4\node3\node9\node10 I want to get all the paths containing leaf node. So for instance, following will be considered leaf nodes for path \node1\node4\node3 \node1\node4\node3\node7 \node1\node4\node3\node8 \node1\node4\node3\node9\node10 The following will be the output: Output --------------------------- \node1\node2\node3\node5 \node1\node6\node3 \node1\node4\node3\node7 \node1\node4\node3\node8 \node1\node4\node3\node9\node10 Pls. suggest. Thanks.

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  • how to get result from this data.

    - by Shantanu Gupta
    I want to compute result from this table. I want quantity 1 - quantity2 as another column in the table shown below. this table has more such records I am trying to query but not been able to get result. select * from v order by is_active desc, transaction_id desc PK_GUEST_ITEM_ID FK_GUEST_ID QUANTITY TRANSACTION_ID IS_ACTIVE ---------------- -------------------- ---------------------- -------------------- ----------- 12963 559 82000 795 1 12988 559 79000 794 0 12987 559 76000 793 0 12986 559 73000 792 0 12985 559 70000 791 0 12984 559 67000 790 0 12983 559 64000 789 0 12982 559 61000 788 0 12981 559 58000 787 0 12980 559 55000 786 0 12979 559 52000 785 0 12978 559 49000 784 0 12977 559 46000 783 0 12976 559 43000 782 0 I want another column that will contain the subtraction of two quantities . DESIRED RESULT SHOULD BE SOMETHING LIKE THIS PK_GUEST_ITEM_ID FK_GUEST_ID QUANTITY Result TRANSACTION_ID IS_ACTIVE ---------------- -------------------- ---------------------- -------------------- ----------- 12963 559 82000 3000 795 1 12988 559 79000 3000 794 0 12987 559 76000 3000 793 0 12986 559 73000 3000 792 0 12985 559 70000 3000 791 0 12984 559 67000 3000 790 0 12983 559 64000 3000 789 0 12982 559 61000 3000 788 0 12981 559 58000 3000 787 0 12980 559 55000 3000 786 0 12979 559 52000 3000 785 0 12978 559 49000 3000 784 0 12977 559 46000 3000 783 0 12976 559 43000 NULL 782 0

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  • How to realize this in Transact SQL ( SQL Server 2008 )

    - by David
    I just want an update trigger like this postgresql version... It seems to me there is no NEW. and OLD. in MSSQL? CREATE OR REPLACE FUNCTION "public"."ts_create" () RETURNS trigger AS DECLARE BEGIN NEW.ctime := now(); RETURN NEW; END; Googled already, but nothing to be found unfortunately... Ideas?

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  • Conversion failed when converting the varchar value to data type int

    - by desi
    *I have a varchar(1000) column declared as field that contains all numbers, as shown below. And I want to execute the following script. I need this to work please Declare @PostalCode varchar(1000)=0 set @PostalCode ='7005036,7004168,7002314,7001188,6998955' Select hl.* From CountryLocation cl INNER JOIN refPostalCodes pc ON pc.PostalCode = hl.PostalCode where pc.Postalcode in (@PostalCode) and pc.notDeleted = 1

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  • Big Data Appliance X4-2 Release Announcement

    - by Jean-Pierre Dijcks
    Today we are announcing the release of the 3rd generation Big Data Appliance. Read the Press Release here. Software Focus The focus for this 3rd generation of Big Data Appliance is: Comprehensive and Open - Big Data Appliance now includes all Cloudera Software, including Back-up and Disaster Recovery (BDR), Search, Impala, Navigator as well as the previously included components (like CDH, HBase and Cloudera Manager) and Oracle NoSQL Database (CE or EE). Lower TCO then DIY Hadoop Systems Simplified Operations while providing an open platform for the organization Comprehensive security including the new Audit Vault and Database Firewall software, Apache Sentry and Kerberos configured out-of-the-box Hardware Update A good place to start is to quickly review the hardware differences (no price changes!). On a per node basis the following is a comparison between old and new (X3-2) hardware: Big Data Appliance X3-2 Big Data Appliance X4-2 CPU 2 x 8-Core Intel® Xeon® E5-2660 (2.2 GHz) 2 x 8-Core Intel® Xeon® E5-2650 V2 (2.6 GHz) Memory 64GB 64GB Disk 12 x 3TB High Capacity SAS 12 x 4TB High Capacity SAS InfiniBand 40Gb/sec 40Gb/sec Ethernet 10Gb/sec 10Gb/sec For all the details on the environmentals and other useful information, review the data sheet for Big Data Appliance X4-2. The larger disks give BDA X4-2 33% more capacity over the previous generation while adding faster CPUs. Memory for BDA is expandable to 512 GB per node and can be done on a per-node basis, for example for NameNodes or for HBase region servers, or for NoSQL Database nodes. Software Details More details in terms of software and the current versions (note BDA follows a three monthly update cycle for Cloudera and other software): Big Data Appliance 2.2 Software Stack Big Data Appliance 2.3 Software Stack Linux Oracle Linux 5.8 with UEK 1 Oracle Linux 6.4 with UEK 2 JDK JDK 6 JDK 7 Cloudera CDH CDH 4.3 CDH 4.4 Cloudera Manager CM 4.6 CM 4.7 And like we said at the beginning it is important to understand that all other Cloudera components are now included in the price of Oracle Big Data Appliance. They are fully supported by Oracle and available for all BDA customers. For more information: Big Data Appliance Data Sheet Big Data Connectors Data Sheet Oracle NoSQL Database Data Sheet (CE | EE) Oracle Advanced Analytics Data Sheet

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  • Review: Data Modeling 101

    I just recently read “Data Modeling 101”by Scott W. Ambler where he gave an overview of fundamental data modeling skills. I think this article was excellent for anyone who was just starting to learn or refresh their skills in regards to the modeling of data.  Scott defines data modeling as the act of exploring data oriented structures.  He goes on to explain about how data models are actually used by defining three different types of models. Types of Data Models Conceptual Data Model  Logical Data Model (LDMs) Physical Data Model(PDMs) He further expands on modeling by exploring common data modeling notations because there are no industry standards for the practice of data modeling. Scott then defines how to actually model data by expanding on entities, attributes, identities, and relationships which are the basic building blocks of data models. In addition he discusses the value of normalization for redundancy and demoralization for performance. Finally, he discuss ways in which Developers and DBAs can become better data modelers through the use of practice, and seeking guidance from more experienced data modelers.

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  • HTML5 data-* (custom data attribute)

    - by Renso
    Goal: Store custom data with the data attribute on any DOM element and retrieve it. Previously under HTML4 we used to use classes to store custom data, something to the affect of <input class="account void limit-5000 over-4999" /> and then have to parse the data out of the class In a book published by Peter-Paul Koch in 2007, ppk on JavaScript, he explains why and how to use custom attributes to make data more accessible to JavaScript, using name-value pairs. Accessing a custom attribute account-limit=5000 is much easier and more intuitive than trying to parse it out of a class, Plus, what if the class name for example "color-5" has a representative class definition in a CSS stylesheet that hides it away or worse some JavaScript plugin that automatically adds 5000 to it, or something crazy like that, just because it is a valid class name. As you can see there are quite a few reasons why using classes is a bad design and why it was important to define custom data attributes in HTML5. Syntax: You define the data attribute by simply prefixing any data item you want to store with any HTML element with "data-". For example to store our customers account data with a hidden input element: <input type="hidden" data-account="void" data-limit=5000 data-over=4999  /> How to access the data: account  -     element.dataset.account limit    -     element.dataset.limit You can also access it by using the more traditional get/setAttribute method or if using jQuery $('#element').attr('data-account','void') Browser support: All except for IE. There is an IE hack around this at http://gist.github.com/362081. Special Note: Be AWARE, do not use upper-case when defining your data elements as it is all converted to lower-case when reading it, so: data-myAccount="A1234" will not be found when you read it with: element.dataset.myAccount Use only lowercase when reading so this will work: element.dataset.myaccount

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  • How to Assure an Effective Data Model

    As a general rule in my opinion the effectiveness of a data model can be directly related to the accuracy and complexity of a project’s requirements. For example there is no need to work on very detailed data models when the details surrounding a specific data model have not been defined or even clarified. Developing data models when the clarity of project requirements is limited tends to introduce designed issues because the proper details to create an effective data model are not even known. One way to avoid this issue is to create data models that correspond to the complexity of the existing project requirements so that when requirements are updated then new data models can be created based any new discoveries regarding requirements on a fine grain level.  This allows for data models to be composed of general entities to be created initially when a project’s requirements are very vague and then the entities are refined as new and more substantial requirements are defined or redefined. This promotes communication amongst all stakeholders within a project as they go through the process of defining and finalizing project requirements.In addition, here are some general tips that can be applied to projects in regards to data modeling.Initially model all data generally and slowly reactor the data model as new requirements and business constraints are applied to a project.Ensure that data modelers have the proper tools and training they need to design a data model accurately.Create a common location for all project documents so that everyone will be able to review a project’s data models along with any other project documentation.All data models should follow a clear naming schema that tells readers the intended purpose for the data and how it is going to be applied within a project.

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  • Master Data Management – A Foundation for Big Data Analysis

    - by Manouj Tahiliani
    While Master Data Management has crossed the proverbial chasm and is on its way to becoming mainstream, businesses are being hammered by a new megatrend called Big Data. Big Data is characterized by massive volumes, its high frequency, the variety of less structured data sources such as email, sensors, smart meters, social networks, and Weblogs, and the need to analyze vast amounts of data to determine value to improve upon management decisions. Businesses that have embraced MDM to get a single, enriched and unified view of Master data by resolving semantic discrepancies and augmenting the explicit master data information from within the enterprise with implicit data from outside the enterprise like social profiles will have a leg up in embracing Big Data solutions. This is especially true for large and medium-sized businesses in industries like Retail, Communications, Financial Services, etc that would find it very challenging to get comprehensive analytical coverage and derive long-term success without resolving the limitations of the heterogeneous topology that leads to disparate, fragmented and incomplete master data. For analytical success from Big Data or in other words ROI from Big Data Investments, businesses need to acquire, organize and analyze the deluge of data to make better decisions. There will need to be a coexistence of structured and unstructured data and to maintain a tight link between the two to extract maximum insights. MDM is the catalyst that helps maintain that tight linkage by providing an understanding about the identity, characteristics of Persons, Companies, Products, Suppliers, etc. associated with the Big Data and thereby help accelerate ROI. In my next post I will discuss about patterns for co-existing Big Data Solutions and MDM. Feel free to provide comments and thoughts on above as well as Integration or Architectural patterns.

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  • Introducing Microsoft SQL Server 2008 R2 - Business Intelligence Samples

    - by smisner
    On April 14, 2010, Microsoft Press (blog | twitter) released my latest book, co-authored with Ross Mistry (twitter), as a free ebook download - Introducing Microsoft SQL Server 2008 R2. As the title implies, this ebook is an introduction to the latest SQL Server release. Although you'll find a comprehensive review of the product's features in this book, you will not find the step-by-step details that are typical in my other books. For those readers who are interested in a more interactive learning experience, I have created two samples file for download: IntroSQLServer2008R2Samples project Sales Analysis workbook Here's a recap of the business intelligence chapters and the samples I used to generate the screen shots by chapter: Chapter 6: Scalable Data Warehousing covers a new edition of SQL Server, Parallel Data Warehouse. Understandably, Microsoft did not ship me the software and hardware to set up my own Parallel Data Warehouse environment for testing purposes and consequently you won't see any screenshots in this chapter. I received a lot of information and a lot of help from the product team during the development of this chapter to ensure its technical accuracy. Chapter 7: Master Data Services is a new component in SQL Server. After you install Master Data Services (MDS), which is a separate installation from SQL Server although it's found on the same media, you can install sample models to explore (which is what I did to create screenshots for the book). To do this, you deploying packages found at \Program Files\Microsoft SQL Server\Master Data Services\Samples\Packages. You will first need to use the Configuration Manager (in the Microsoft SQL Server 2008 R2\Master Data Services program group) to create a database and a Web application for MDS. Then when you launch the application, you'll see a Getting Started page which has a Deploy Sample Data link that you can use to deploy any of the sample packages. Chapter 8: Complex Event Processing is an introduction to another new component, StreamInsight. This topic was way too large to cover in-depth in a single chapter, so I focused on information such as architecture, development models, and an overview of the key sections of code you'll need to develop for your own applications. StreamInsight is an engine that operates on data in-flight and as such has no user interface that I could include in the book as screenshots. The November CTP version of SQL Server 2008 R2 included code samples as part of the installation, but these are not the official samples that will eventually be available in Codeplex. At the time of this writing, the samples are not yet published. Chapter 9: Reporting Services Enhancements provides an overview of all the changes to Reporting Services in SQL Server 2008 R2, and there are many! In previous posts, I shared more details than you'll find in the book about new functions (Lookup, MultiLookup, and LookupSet), properties for page numbering, and the new global variable RenderFormat. I will confess that I didn't use actual data in the book for my discussion on the Lookup functions, but I did create real reports for the blog posts and will upload those separately. For the other screenshots and examples in the book, I have created the IntroSQLServer2008R2Samples project for you to download. To preview these reports in Business Intelligence Development Studio, you must have the AdventureWorksDW2008R2 database installed, and you must download and install SQL Server 2008 R2. For the map report, you must execute the PopulationData.sql script that I included in the samples file to add a table to the AdventureWorksDW2008R2 database. The IntroSQLServer2008R2Samples project includes the following files: 01_AggregateOfAggregates.rdl to illustrate the use of embedded aggregate functions 02_RenderFormatAndPaging.rdl to illustrate the use of page break properties (Disabled, ResetPageNumber), the PageName property, and the RenderFormat global variable 03_DataSynchronization.rdl to illustrate the use of the DomainScope property 04_TextboxOrientation.rdl to illustrate the use of the WritingMode property 05_DataBar.rdl 06_Sparklines.rdl 07_Indicators.rdl 08_Map.rdl to illustrate a simple analytical map that uses color to show population counts by state PopulationData.sql to provide the data necessary for the map report Chapter 10: Self-Service Analysis with PowerPivot introduces two new components to the Microsoft BI stack, PowerPivot for Excel and PowerPivot for SharePoint, which you can learn more about at the PowerPivot site. To produce the screenshots for this chapter, I created the Sales Analysis workbook which you can download (although you must have Excel 2010 and the PowerPivot for Excel add-in installed to explore it fully). It's a rather simple workbook because space in the book did not permit a complete exploration of all the wonderful things you can do with PowerPivot. I used a tutorial that was available with the CTP version as a basis for the report so it might look familiar if you've already started learning about PowerPivot. In future posts, I'll continue exploring the new features in greater detail. If there's any special requests, please let me know! Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Implementing User-Defined Hierarchies in SQL Server Analysis Services

    To be able to drill into multidimensional cube data at several levels, you must implement all of the hierarchies on the database dimensions. Then you'll create the attribute relationships necessary to optimize performance. Analysis Services hierarchies offer plenty of possibilities for displaying the data that your business requires. Rob Sheldon continues his series on SQL Server Analysis Services 2008.

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  • Support for 15,000 Partitions in SQL Server 2008 SP2 and SQL Server 2008 R2 SP1

    In SQL Server 2008 and SQL Server 2008 R2, the number of partitions on tables and indexes is limited to 1,000. This paper discusses how SQL Server 2008 SP2 and SQL Server 2008 R2 SP1 address this limitation by providing an option to increase the limit to 15,000 partitions. It describes how support for 15,000 partitions can be enabled and disabled on a database. It also talks about performance characteristics, certain limitations associated with this support, known issues, and their workarounds. This support is targeted to enterprise customers and ISVs with large-scale decision support or data warehouse requirements. The Future of SQL Server MonitoringMonitor wherever, whenever with Red Gate's SQL Monitor. See it live in action now.

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  • Data-tier Applications in SQL Server 2008 R2

    - by BuckWoody
    I had the privilege of presenting to the Adelaide SQL Server User Group in Australia last evening, and I covered the Data Access Component (DAC) and the Utility Control Point (UCP) from SQL Server 2008 R2. Here are some links from that presentation:   Whitepaper: http://msdn.microsoft.com/en-us/library/ff381683.aspx Tutorials: http://msdn.microsoft.com/en-us/library/ee210554(SQL.105).aspx From Visual Studio: http://msdn.microsoft.com/en-us/library/dd193245(VS.100).aspx Restrictions and capabilities by Edition: http://msdn.microsoft.com/en-us/library/cc645993(SQL.105).aspx    Glen Berry's Blog entry on scripts for UCP/DAC: http://www.sqlservercentral.com/blogs/glennberry/archive/2010/05/19/sql-server-utility-script-from-24-hours-of-pass.aspx    Objects supported by a DAC: http://msdn.microsoft.com/en-us/library/ee210549(SQL.105).aspx   Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Is reliance on parametrized queries the only way to protect against SQL injection?

    - by Chris Walton
    All I have seen on SQL injection attacks seems to suggest that parametrized queries, particularly ones in stored procedures, are the only way to protect against such attacks. While I was working (back in the Dark Ages) stored procedures were viewed as poor practice, mainly because they were seen as less maintainable; less testable; highly coupled; and locked a system into one vendor; (this question covers some other reasons). Although when I was working, projects were virtually unaware of the possibility of such attacks; various rules were adopted to secure the database against corruption of various sorts. These rules can be summarised as: No client/application had direct access to the database tables. All accesses to all tables were through views (and all the updates to the base tables were done through triggers). All data items had a domain specified. No data item was permitted to be nullable - this had implications that had the DBAs grinding their teeth on occasion; but was enforced. Roles and permissions were set up appropriately - for instance, a restricted role to give only views the right to change the data. So is a set of (enforced) rules such as this (though not necessarily this particular set) an appropriate alternative to parametrized queries in preventing SQL injection attacks? If not, why not? Can a database be secured against such attacks by database (only) specific measures? EDIT Emphasis of the question changed slightly, in the light of the initial responses received. Base question unchanged. EDIT2 The approach of relying on paramaterized queries seems to be only a peripheral step in defense against attacks on systems. It seems to me that more fundamental defenses are both desirable, and may render reliance on such queries not necessary, or less critical, even to defend specifically against injection attacks. The approach implicit in my question was based on "armouring" the database and I had no idea whether it was a viable option. Further research has suggested that there are such approaches. I have found the following sources that provide some pointers to this type of approach: http://database-programmer.blogspot.com http://thehelsinkideclaration.blogspot.com The principle features I have taken from these sources is: An extensive data dictionary, combined with an extensive security data dictionary Generation of triggers, queries and constraints from the data dictionary Minimize Code and maximize data While the answers I have had so far are very useful and point out difficulties arising from disregarding paramaterized queries, ultimately they do not answer my original question(s) (now emphasised in bold).

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