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  • How do I get the median/mode/range of a column in SQL using Java?

    - by Derek
    I have to get the median, mode and range of test scores from one column in a table but I am unsure how to go about doing that. When you connect to the database using java, you are normally returned a ResultSet that you can make a table or something out of but how do you get particular numbers or digits? Is there an SQL command to get the median/mode/range or will I have to calculate this myself, and how do you pull out numbers from the table in order to be able to calculate the mode/median/range? Thanks.

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  • What are the best blogs for staying up to date on C#, ASP.NET, LINQ, SQL, C++, Ruby, Java, Python?

    - by Arj
    Apologies if this repeats another - but I couldn't fine one like it. My day to day programming spans a fair number of technologies: C#, ASP.NET, LINQ / SQL, C++, Ruby, Java, Python in approximately that order. It's a struggle to keep up to date on any of best practices, new ideas, innovation and improvements, let alone all. Therefore, what would your top 1 blog be in each of these technologies and which technology do you find easiest to stay up to date with? I'd have a bias towards blogs with broad and high level rather than narrow and detailed content / solutions / examples.

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  • Store data in file system rather than SQL or Oracle database.

    - by nunu
    Hi All, As I am working on Employee Management system, I have two table (for example) in database as given below. EmployeeMaster (DB table structure) EmployeeID (PK) | EmployeeName | City MonthMaster (DB table structure) Month | Year | EmployeeID (FK) | PrenentDays | BasicSalary Now my question is, I want to store data in file system rather than storing data in SQL or ORACLE. I want my data in file system storage for Insert, Edit and Delete opration with keeping relation with objects too. I am a C# developer, Could anybody have thoughts or idea on it. (To store data in file system with keeping relations between them) Thanks in advance. Any ideas on it?

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  • How to get min/max of two integers in Postgres/SQL?

    - by HRJ
    How do I find the maximum (or minimum) of two integers in Postgres/SQL? One of the integers is not a column value. I will give an example scenario: I would like to subtract an integer from a column (in all rows), but the result should not be less than zero. So, to begin with, I have: UPDATE my_table SET my_column = my_column - 10; But this can make some of the values negative. What I would like (in pseudo code) is: UPDATE my_table SET my_column = MAXIMUM(my_column - 10, 0);

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  • Possible to see what actual SQL queries Rails invokes when using console script?

    - by randombits
    Sometimes I like to pop open the console script that comes with Rails to test small excerpts of code. That code normally involves some more involved ActiveRecord queries. Although not an expert in ActiveRecord, I'm proficient with SQL and want to see what it's translating underneath the hood for efficiency purposes. This will help me refactor or rethink how I'm writing my app if it looks inefficient. Now when the query is in the actual application itself, it all shows up in logs. Ad-hoc ActiveRecord queries in the console do not though. Anyway to change that behavior?

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  • How to implement automatic reflection of direct SQL Updates of the underlying database, in an ActiveRecord in Ruby on Rails ?

    - by Vadim Eisenberg
    Hello ! I am new to Ruby on Rails and I have a (maybe naive) question: I want to implement reflection of direct SQL Updates of the underlying database in an ActiveRecord (and finally in the generated html). By "direct updates" I mean updating the database bypassing the ActiveRecord methods, for example by MySQL console. I guess here MySQL triggers could be used that would call some stored procedure that would cause the appropriate ActiveRecord to be reloaded. Is there some automatic handling of this scenario in ActiveRecord/Ruby on Rails ? Did somebody implement this scenario ? Can somebody recommend using other MVC frameworks to reflect direct changes in mapped databases ?

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  • if there is any technique to insert values into multiple tables in sql Server 2008 Database?

    - by Krishanu Dey
    I just wanted to know, if there is any technique to insert values into multiple tables in sql Server 2008 Database? I've got the following cmd.CommandText = "Insert into tb1 (col1, col2, col3) values (@col1, @col2, @col3); Insert into tb2 (col1, col2, col3) values (@col11, @col12, @col13);"; cmd.Parameters.AddWithValue("col1","val1"); cmd.Parameters.AddWithValue("col2", "val2"); cmd.Parameters.AddWithValue("col3", "val3"); cmd.Parameters.AddWithValue("col11","val4"); cmd.Parameters.AddWithValue("col12", "val5"); cmd.Parameters.AddWithValue("col13", "val6"); But will values be inserted to "tb1" even if "Insert into tb2..." part gets an error? if yes then it is not what i wanted. i wanted that, values should not be inserted into tb1 if tb2 part gets an error. please help me out.

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  • How to test if a string is inside a list of predinfined list of string in oracle pl/sql

    - by drupalspring
    I define a list a string which contains different country codes ( for example , USA ,CHINA ,HK ,JPN) How can I check that if a input variable equal to one of the country of the country list in pl/sql . I use the following code to test it but fail, how can I revise it? declare country_list CONSTANT VARCHAR2(200) := USA,CHINA,HK,JPN; input VARCHAR2(200); begin input := 'JPN'; IF input IN (country_list) DBMS_OUTPUT.PUT_LINE('It is Inside'); else DBMS_OUTPUT.PUT_LINE('It is not Inside'); END IF; end;

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  • Fastest way to store/retrieve a dictionary - SQL, text file...?

    - by AP257
    Hi all, This is a really really super dumb question, so I apologise, but I'd be grateful for some advice. I've got a text file of words and word frequencies. It's very large - theoretically we're talking millions of rows. I just want to retrieve values from the file, and do it as quickly and efficiently as possible (for a web app, in Django). My question is: what is the best way to store and retrieve the values? Should import them into SQL? Or keep the file and use grep? Or put them into a JSON dictionary...? Or some other way? Sorry for the dumb question, would be very grateful for advice!

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  • does this raw sql only one trip to the database or many trips?

    - by Álvaro García
    I gues that I have this sql: string strTSQL = "Begin TRAN delete from MyTable where ID = 1"; string strTSQL = ";delete from MyTable where ID = 2"; string strTSQL = ";delete from MyTable where ID = 3 COMMIT"; using(Entities dbContext = new Entities()) { dbCntext.MyTable.SQLQuery(strTSQL); } This use a transaction in the dataBase, so all the commands are executed or no one. But how I execute it through EF, it does only one trip to the database or many? Thanks.

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  • Why does SQLite say it can't read SQL from a file?

    - by Gavin
    Hi all. I have a bunch of SQL in a file, which creates the tables and so forth. The problem is that the .read command simply returns "can't open xxx" when I try to execute it. I've set the permissions to everybody read/write, but that didn't help. I can cat the file from the command line and see it fine. This is under Mac OS 10.6.3. Anybody have any idea here? Thanks!

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  • How to version SQL Server schema using VS 2005?

    - by Mike
    I am new to C# programming and am coming to it most recently from working with Ruby on Rails. In RoR, I am used to being able to write schema migrations for the database. I would like to be able to do something similar for my C#/SQLServer projects. Does such a tool exist for the VS 2005 toolset? Would it be wise to use RoR migrations with SQL Server directly outside of VS 2005? In other words, I would handle all schema versioning using ActiveRecord:Migration from Rails but nothing else. If I do handle migrations outside of C# and VS 2005 with another tool, is RoR ActiveRecord:Migration the best thing to use or is there something which is a better fit?

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  • Number 0 is not saving to database as a prefix in SQL Server of CHAR data type column

    - by gmhk
    I am trying to insert an value as '019393' into a table with a CHAR(10) column. It is inserting only '19393' into the database I am implementing this feature in a stored procedure, doing some manipulation like incrementing that number by 15 and saving it back with '0' as the prefix I am using SQL Server database Note: I tried CASTING that value as VARCHAR before saving to the database, but even that did not get the solution Code SELECT @fromBSB = fromBSB, @toBSB = toBSB, @type = Type FROM [dbo].[tbl_REF_SpecialBSBRanges] WHERE CAST(@inputFromBSB AS INT) BETWEEN fromBSB AND toBSB SET @RETURNVALUE = @fromBSB IF(@fromBSB = @inputFromBSB) BEGIN PRINT 'Starting Number is Equal'; DELETE FROM tbl_REF_SpecialBSBRanges WHERE Type = @type AND fromBSB = @fromBSB AND toBSB = @toBSB INSERT INTO [tbl_REF_SpecialBSBRanges] ([Type], [fromBSB], [toBSB]) VALUES(@type, CAST('0' + @fromBSB + 1 AS CHAR), @toBSB) INSERT INTO [tbl_REF_SpecialBSBRanges] ([Type], [fromBSB], [toBSB]) VALUES(@inputBSBName, @inputFromBSB, @inputToBSB) END

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  • Quiz module as a part of SQL Tutorial (Project) in C#. Help!

    - by N1107
    Kindly help. Am a beginner in C#. The details of my project work include: Front End: C# Back End: SQL MS Visual Studio 2010 Windows Application Quiz Module Each session contains 20 questions. At the end of the test, the test-engine will evaluate the answers. If the student obtains more than 50% then he can unlock the next module. And his test score is printed using Crystal Reports and saved in teacher's database, against that student's record. Else, if his score is less than 50%, the test-engine will count the no. of attempts to clear the quiz & randomly generate another set of 20 questions from a file (from the teacher's database). It's complicated for me cause am a beginner. Would appreciate some help. Thanks.

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  • The case of the phantom ADF developer (and other yarns)

    - by Chris Muir
    A few years of ADF experience means I see common mistakes made by different developers, some I regularly make myself.  This post is designed to assist beginners to Oracle JDeveloper Application Development Framework (ADF) avoid a common ADF pitfall, the case of the phantom ADF developer [add Scooby-Doo music here]. ADF Business Components - triggers, default table values and instead of views. Oracle's JDeveloper tutorials help with the A-B-Cs of ADF development, typically built on the nice 'n safe demo schema provided by with the Oracle database such as the HR demo schema. However it's not too long until ADF beginners, having built up some confidence from learning with the tutorials and vanilla demo schemas, start building ADF Business Components based upon their own existing database schema objects.  This is where unexpected problems can sneak in. The crime Developers may encounter a surprising error at runtime when editing a record they just created or updated and committed to the database, based on their own existing tables, namely the error: JBO-25014: Another user has changed the row with primary key oracle.jbo.Key[x] ...where X is the primary key value of the row at hand.  In a production environment with multiple users this error may be legit, one of the other users has updated the row since you queried it.  Yet in a development environment this error is just plain confusing.  If developers are isolated in their own database, creating and editing records they know other users can't possibly be working with, or all the other developers have gone home for the day, how is this error possible? There are no other users?  It must be the phantom ADF developer! [insert dramatic music here] The following picture is what you'll see in the Business Component Browser, and you'll receive a similar error message via an ADF Faces page: A false conclusion What can possibly cause this issue if it isn't our phantom ADF developer?  Doesn't ADF BC implement record locking, locking database records when the row is modified in the ADF middle-tier by a user?  How can our phantom ADF developer even take out a lock if this is the case?  Maybe ADF has a bug, maybe ADF isn't implementing record locking at all?  Shouldn't we see the error "JBO-26030: Failed to lock the record, another user holds the lock" as we attempt to modify the record, why do we see JBO-25014? : Let's verify that ADF is in fact issuing the correct SQL LOCK-FOR-UPDATE statement to the database. First we need to verify ADF's locking strategy.  It is determined by the Application Module's jbo.locking.mode property.  The default (as of JDev 11.1.1.4.0 if memory serves me correct) and recommended value is optimistic, and the other valid value is pessimistic. Next we need a mechanism to check that ADF is issuing the LOCK statements to the database.  We could ask DBAs to monitor locks with OEM, but optimally we'd rather not involve overworked DBAs in this process, so instead we can use the ADF runtime setting –Djbo.debugoutput=console.  At runtime this options turns on instrumentation within the ADF BC layer, which among a lot of extra detail displayed in the log window, will show the actual SQL statement issued to the database, including the LOCK statement we're looking to confirm. Setting our locking mode to pessimistic, opening the Business Components Browser of a JSF page allowing us to edit a record, say the CHARGEABLE field within a BOOKINGS record where BOOKING_NO = 1206, upon editing the record see among others the following log entries: [421] Built select: 'SELECT BOOKING_NO, EVENT_NO, RESOURCE_CODE, CHARGEABLE, MADE_BY, QUANTITY, COST, STATUS, COMMENTS FROM BOOKINGS Bookings'[422] Executing LOCK...SELECT BOOKING_NO, EVENT_NO, RESOURCE_CODE, CHARGEABLE, MADE_BY, QUANTITY, COST, STATUS, COMMENTS FROM BOOKINGS Bookings WHERE BOOKING_NO=:1 FOR UPDATE NOWAIT[423] Where binding param 1: 1206  As can be seen on line 422, in fact a LOCK-FOR-UPDATE is indeed issued to the database.  Later when we commit the record we see: [441] OracleSQLBuilder: SAVEPOINT 'BO_SP'[442] OracleSQLBuilder Executing, Lock 1 DML on: BOOKINGS (Update)[443] UPDATE buf Bookings>#u SQLStmtBufLen: 210, actual=62[444] UPDATE BOOKINGS Bookings SET CHARGEABLE=:1 WHERE BOOKING_NO=:2[445] Update binding param 1: N[446] Where binding param 2: 1206[447] BookingsView1 notify COMMIT ... [448] _LOCAL_VIEW_USAGE_model_Bookings_ResourceTypesView1 notify COMMIT ... [449] EntityCache close prepared statement ....and as a result the changes are saved to the database, and the lock is released. Let's see what happens when we use the optimistic locking mode, this time to change the same BOOKINGS record CHARGEABLE column again.  As soon as we edit the record we see little activity in the logs, nothing to indicate any SQL statement, let alone a LOCK has been taken out on the row. However when we save our records by issuing a commit, the following is recorded in the logs: [509] OracleSQLBuilder: SAVEPOINT 'BO_SP'[510] OracleSQLBuilder Executing doEntitySelect on: BOOKINGS (true)[511] Built select: 'SELECT BOOKING_NO, EVENT_NO, RESOURCE_CODE, CHARGEABLE, MADE_BY, QUANTITY, COST, STATUS, COMMENTS FROM BOOKINGS Bookings'[512] Executing LOCK...SELECT BOOKING_NO, EVENT_NO, RESOURCE_CODE, CHARGEABLE, MADE_BY, QUANTITY, COST, STATUS, COMMENTS FROM BOOKINGS Bookings WHERE BOOKING_NO=:1 FOR UPDATE NOWAIT[513] Where binding param 1: 1205[514] OracleSQLBuilder Executing, Lock 2 DML on: BOOKINGS (Update)[515] UPDATE buf Bookings>#u SQLStmtBufLen: 210, actual=62[516] UPDATE BOOKINGS Bookings SET CHARGEABLE=:1 WHERE BOOKING_NO=:2[517] Update binding param 1: Y[518] Where binding param 2: 1205[519] BookingsView1 notify COMMIT ... [520] _LOCAL_VIEW_USAGE_model_Bookings_ResourceTypesView1 notify COMMIT ... [521] EntityCache close prepared statement Again even though we're seeing the midtier delay the LOCK statement until commit time, it is in fact occurring on line 412, and released as part of the commit issued on line 419.  Therefore with either optimistic or pessimistic locking a lock is indeed issued. Our conclusion at this point must be, unless there's the unlikely cause the LOCK statement is never really hitting the database, or the even less likely cause the database has a bug, then ADF does in fact take out a lock on the record before allowing the current user to update it.  So there's no way our phantom ADF developer could even modify the record if he tried without at least someone receiving a lock error. Hmm, we can only conclude the locking mode is a red herring and not the true cause of our problem.  Who is the phantom? At this point we'll need to conclude that the error message "JBO-25014: Another user has changed" is somehow legit, even though we don't understand yet what's causing it. This leads onto two further questions, how does ADF know another user has changed the row, and what's been changed anyway? To answer the first question, how does ADF know another user has changed the row, the Fusion Guide's section 4.10.11 How to Protect Against Losing Simultaneous Updated Data , that details the Entity Object Change-Indicator property, gives us the answer: At runtime the framework provides automatic "lost update" detection for entity objects to ensure that a user cannot unknowingly modify data that another user has updated and committed in the meantime. Typically, this check is performed by comparing the original values of each persistent entity attribute against the corresponding current column values in the database at the time the underlying row is locked. Before updating a row, the entity object verifies that the row to be updated is still consistent with the current state of the database.  The guide further suggests to make this solution more efficient: You can make the lost update detection more efficient by identifying any attributes of your entity whose values you know will be updated whenever the entity is modified. Typical candidates include a version number column or an updated date column in the row.....To detect whether the row has been modified since the user queried it in the most efficient way, select the Change Indicator option to compare only the change-indicator attribute values. We now know that ADF BC doesn't use the locking mechanism at all to protect the current user against updates, but rather it keeps a copy of the original record fetched, separate to the user changed version of the record, and it compares the original record against the one in the database when the lock is taken out.  If values don't match, be it the default compare-all-columns behaviour, or the more efficient Change Indicator mechanism, ADF BC will throw the JBO-25014 error. This leaves one last question.  Now we know the mechanism under which ADF identifies a changed row, what we don't know is what's changed and who changed it? The real culprit What's changed?  We know the record in the mid-tier has been changed by the user, however ADF doesn't use the changed record in the mid-tier to compare to the database record, but rather a copy of the original record before it was changed.  This leaves us to conclude the database record has changed, but how and by who? There are three potential causes: Database triggers The database trigger among other uses, can be configured to fire PLSQL code on a database table insert, update or delete.  In particular in an insert or update the trigger can override the value assigned to a particular column.  The trigger execution is actioned by the database on behalf of the user initiating the insert or update action. Why this causes the issue specific to our ADF use, is when we insert or update a record in the database via ADF, ADF keeps a copy of the record written to the database.  However the cached record is instantly out of date as the database triggers have modified the record that was actually written to the database.  Thus when we update the record we just inserted or updated for a second time to the database, ADF compares its original copy of the record to that in the database, and it detects the record has been changed – giving us JBO-25014. This is probably the most common cause of this problem. Default values A second reason this issue can occur is another database feature, default column values.  When creating a database table the schema designer can define default values for specific columns.  For example a CREATED_BY column could be set to SYSDATE, or a flag column to Y or N.  Default values are only used by the database when a user inserts a new record and the specific column is assigned NULL.  The database in this case will overwrite the column with the default value. As per the database trigger section, it then becomes apparent why ADF chokes on this feature, though it can only specifically occur in an insert-commit-update-commit scenario, not the update-commit-update-commit scenario. Instead of trigger views I must admit I haven't double checked this scenario but it seems plausible, that of the Oracle database's instead of trigger view (sometimes referred to as instead of views).  A view in the database is based on a query, and dependent on the queries complexity, may support insert, update and delete functionality to a limited degree.  In order to support fully insertable, updateable and deletable views, Oracle introduced the instead of view, that gives the view designer the ability to not only define the view query, but a set of programmatic PLSQL triggers where the developer can define their own logic for inserts, updates and deletes. While this provides the database programmer a very powerful feature, it can cause issues for our ADF application.  On inserting or updating a record in the instead of view, the record and it's data that goes in is not necessarily the data that comes out when ADF compares the records, as the view developer has the option to practically do anything with the incoming data, including throwing it away or pushing it to tables which aren't used by the view underlying query for fetching the data. Readers are at this point reminded that this article is specifically about how the JBO-25014 error occurs in the context of 1 developer on an isolated database.  The article is not considering how the error occurs in a production environment where there are multiple users who can cause this error in a legitimate fashion.  Assuming none of the above features are the cause of the problem, and optimistic locking is turned on (this error is not possible if pessimistic locking is the default mode *and* none of the previous causes are possible), JBO-25014 is quite feasible in a production ADF application if 2 users modify the same record. At this point under project timelines pressure, the obvious fix for developers is to drop both database triggers and default values from the underlying tables.  However we must be careful that these legacy constructs aren't used and assumed to be in place by other legacy systems.  Dropping the database triggers or default value that the existing Oracle Forms  applications assumes and requires to be in place could cause unexpected behaviour and bugs in the Forms application.  Proficient software engineers would recognize such a change may require a partial or full regression test of the existing legacy system, a potentially costly and timely exercise, not ideal. Solving the mystery once and for all Luckily ADF has built in functionality to deal with this issue, though it's not a surprise, as Oracle as the author of ADF also built the database, and are fully aware of the Oracle database's feature set.  At the Entity Object attribute level, the Refresh After Insert and Refresh After Update properties.  Simply selecting these instructs ADF BC after inserting or updating a record to the database, to expect the database to modify the said attributes, and read a copy of the changed attributes back into its cached mid-tier record.  Thus next time the developer modifies the current record, the comparison between the mid-tier record and the database record match, and JBO-25014: Another user has changed" is no longer an issue. [Post edit - as per the comment from Oracle's Steven Davelaar below, as he correctly points out the above solution will not work for instead-of-triggers views as it relies on SQL RETURNING clause which is incompatible with this type of view] Alternatively you can set the Change Indicator on one of the attributes.  This will work as long as the relating column for the attribute in the database itself isn't inadvertently updated.  In turn you're possibly just masking the issue rather than solving it, because if another developer turns the Change Indicator back on the original issue will return.

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  • Convert from Procedural to Object Oriented Code

    - by Anthony
    I have been reading Working Effectively with Legacy Code and Clean Code with the goal of learning strategies on how to begin cleaning up the existing code-base of a large ASP.NET webforms application. This system has been around since 2005 and since then has undergone a number of enhancements. Originally the code was structured as follows (and is still largely structured this way): ASP.NET (aspx/ascx) Code-behind (c#) Business Logic Layer (c#) Data Access Layer (c#) Database (Oracle) The main issue is that the code is procedural masquerading as object-oriented. It virtually violates all of the guidelines described in both books. This is an example of a typical class in the Business Logic Layer: public class AddressBO { public TransferObject GetAddress(string addressID) { if (StringUtils.IsNull(addressID)) { throw new ValidationException("Address ID must be entered"); } AddressDAO addressDAO = new AddressDAO(); return addressDAO.GetAddress(addressID); } public TransferObject Insert(TransferObject addressDetails) { if (StringUtils.IsNull(addressDetails.GetString("EVENT_ID")) || StringUtils.IsNull(addressDetails.GetString("LOCALITY")) || StringUtils.IsNull(addressDetails.GetString("ADDRESS_TARGET")) || StringUtils.IsNull(addressDetails.GetString("ADDRESS_TYPE_CODE")) || StringUtils.IsNull(addressDetails.GetString("CREATED_BY"))) { throw new ValidationException( "You must enter an Event ID, Locality, Address Target, Address Type Code and Created By."); } string addressID = Sequence.GetNextValue("ADDRESS_ID_SEQ"); addressDetails.SetValue("ADDRESS_ID", addressID); string syncID = Sequence.GetNextValue("SYNC_ID_SEQ"); addressDetails.SetValue("SYNC_ADDRESS_ID", syncID); TransferObject syncDetails = new TransferObject(); Transaction transaction = new Transaction(); try { AddressDAO addressDAO = new AddressDAO(); addressDAO.Insert(addressDetails, transaction); // insert the record for the target TransferObject addressTargetDetails = new TransferObject(); switch (addressDetails.GetString("ADDRESS_TARGET")) { case "PARTY_ADDRESSES": { addressTargetDetails.SetValue("ADDRESS_ID", addressID); addressTargetDetails.SetValue("ADDRESS_TYPE_CODE", addressDetails.GetString("ADDRESS_TYPE_CODE")); addressTargetDetails.SetValue("PARTY_ID", addressDetails.GetString("PARTY_ID")); addressTargetDetails.SetValue("EVENT_ID", addressDetails.GetString("EVENT_ID")); addressTargetDetails.SetValue("CREATED_BY", addressDetails.GetString("CREATED_BY")); addressDAO.InsertPartyAddress(addressTargetDetails, transaction); break; } case "PARTY_CONTACT_ADDRESSES": { addressTargetDetails.SetValue("ADDRESS_ID", addressID); addressTargetDetails.SetValue("ADDRESS_TYPE_CODE", addressDetails.GetString("ADDRESS_TYPE_CODE")); addressTargetDetails.SetValue("PUBLIC_RELEASE_FLAG", addressDetails.GetString("PUBLIC_RELEASE_FLAG")); addressTargetDetails.SetValue("CONTACT_ID", addressDetails.GetString("CONTACT_ID")); addressTargetDetails.SetValue("EVENT_ID", addressDetails.GetString("EVENT_ID")); addressTargetDetails.SetValue("CREATED_BY", addressDetails.GetString("CREATED_BY")); addressDAO.InsertContactAddress(addressTargetDetails, transaction); break; } << many more cases here >> default: { break; } } // synchronise SynchronisationBO synchronisationBO = new SynchronisationBO(); syncDetails = synchronisationBO.Synchronise("I", transaction, "ADDRESSES", addressDetails.GetString("ADDRESS_TARGET"), addressDetails, addressTargetDetails); // commit transaction.Commit(); } catch (Exception) { transaction.Rollback(); throw; } return new TransferObject("ADDRESS_ID", addressID, "SYNC_DETAILS", syncDetails); } << many more methods are here >> } It has a lot of duplication, the class has a number of responsibilities, etc, etc - it is just generally 'un-clean' code. All of the code throughout the system is dependent on concrete implementations. This is an example of a typical class in the Data Access Layer: public class AddressDAO : GenericDAO { public static readonly string BASE_SQL_ADDRESSES = "SELECT " + " a.address_id, " + " a.event_id, " + " a.flat_unit_type_code, " + " fut.description as flat_unit_description, " + " a.flat_unit_num, " + " a.floor_level_code, " + " fl.description as floor_level_description, " + " a.floor_level_num, " + " a.building_name, " + " a.lot_number, " + " a.street_number, " + " a.street_name, " + " a.street_type_code, " + " st.description as street_type_description, " + " a.street_suffix_code, " + " ss.description as street_suffix_description, " + " a.postal_delivery_type_code, " + " pdt.description as postal_delivery_description, " + " a.postal_delivery_num, " + " a.locality, " + " a.state_code, " + " s.description as state_description, " + " a.postcode, " + " a.country, " + " a.lock_num, " + " a.created_by, " + " TO_CHAR(a.created_datetime, '" + SQL_DATETIME_FORMAT + "') as created_datetime, " + " a.last_updated_by, " + " TO_CHAR(a.last_updated_datetime, '" + SQL_DATETIME_FORMAT + "') as last_updated_datetime, " + " a.sync_address_id, " + " a.lat," + " a.lon, " + " a.validation_confidence, " + " a.validation_quality, " + " a.validation_status " + "FROM ADDRESSES a, FLAT_UNIT_TYPES fut, FLOOR_LEVELS fl, STREET_TYPES st, " + " STREET_SUFFIXES ss, POSTAL_DELIVERY_TYPES pdt, STATES s " + "WHERE a.flat_unit_type_code = fut.flat_unit_type_code(+) " + "AND a.floor_level_code = fl.floor_level_code(+) " + "AND a.street_type_code = st.street_type_code(+) " + "AND a.street_suffix_code = ss.street_suffix_code(+) " + "AND a.postal_delivery_type_code = pdt.postal_delivery_type_code(+) " + "AND a.state_code = s.state_code(+) "; public TransferObject GetAddress(string addressID) { //Build the SELECT Statement StringBuilder selectStatement = new StringBuilder(BASE_SQL_ADDRESSES); //Add WHERE condition selectStatement.Append(" AND a.address_id = :addressID"); ArrayList parameters = new ArrayList{DBUtils.CreateOracleParameter("addressID", OracleDbType.Decimal, addressID)}; // Execute the SELECT statement Query query = new Query(); DataSet results = query.Execute(selectStatement.ToString(), parameters); // Check if 0 or more than one rows returned if (results.Tables[0].Rows.Count == 0) { throw new NoDataFoundException(); } if (results.Tables[0].Rows.Count > 1) { throw new TooManyRowsException(); } // Return a TransferObject containing the values return new TransferObject(results); } public void Insert(TransferObject insertValues, Transaction transaction) { // Store Values string addressID = insertValues.GetString("ADDRESS_ID"); string syncAddressID = insertValues.GetString("SYNC_ADDRESS_ID"); string eventID = insertValues.GetString("EVENT_ID"); string createdBy = insertValues.GetString("CREATED_BY"); // postal delivery string postalDeliveryTypeCode = insertValues.GetString("POSTAL_DELIVERY_TYPE_CODE"); string postalDeliveryNum = insertValues.GetString("POSTAL_DELIVERY_NUM"); // unit/building string flatUnitTypeCode = insertValues.GetString("FLAT_UNIT_TYPE_CODE"); string flatUnitNum = insertValues.GetString("FLAT_UNIT_NUM"); string floorLevelCode = insertValues.GetString("FLOOR_LEVEL_CODE"); string floorLevelNum = insertValues.GetString("FLOOR_LEVEL_NUM"); string buildingName = insertValues.GetString("BUILDING_NAME"); // street string lotNumber = insertValues.GetString("LOT_NUMBER"); string streetNumber = insertValues.GetString("STREET_NUMBER"); string streetName = insertValues.GetString("STREET_NAME"); string streetTypeCode = insertValues.GetString("STREET_TYPE_CODE"); string streetSuffixCode = insertValues.GetString("STREET_SUFFIX_CODE"); // locality/state/postcode/country string locality = insertValues.GetString("LOCALITY"); string stateCode = insertValues.GetString("STATE_CODE"); string postcode = insertValues.GetString("POSTCODE"); string country = insertValues.GetString("COUNTRY"); // esms address string esmsAddress = insertValues.GetString("ESMS_ADDRESS"); //address/GPS string lat = insertValues.GetString("LAT"); string lon = insertValues.GetString("LON"); string zoom = insertValues.GetString("ZOOM"); //string validateDate = insertValues.GetString("VALIDATED_DATE"); string validatedBy = insertValues.GetString("VALIDATED_BY"); string confidence = insertValues.GetString("VALIDATION_CONFIDENCE"); string status = insertValues.GetString("VALIDATION_STATUS"); string quality = insertValues.GetString("VALIDATION_QUALITY"); // the insert statement StringBuilder insertStatement = new StringBuilder("INSERT INTO ADDRESSES ("); StringBuilder valuesStatement = new StringBuilder("VALUES ("); ArrayList parameters = new ArrayList(); // build the insert statement insertStatement.Append("ADDRESS_ID, EVENT_ID, CREATED_BY, CREATED_DATETIME, LOCK_NUM "); valuesStatement.Append(":addressID, :eventID, :createdBy, SYSDATE, 1 "); parameters.Add(DBUtils.CreateOracleParameter("addressID", OracleDbType.Decimal, addressID)); parameters.Add(DBUtils.CreateOracleParameter("eventID", OracleDbType.Decimal, eventID)); parameters.Add(DBUtils.CreateOracleParameter("createdBy", OracleDbType.Varchar2, createdBy)); // build the insert statement if (!StringUtils.IsNull(syncAddressID)) { insertStatement.Append(", SYNC_ADDRESS_ID"); valuesStatement.Append(", :syncAddressID"); parameters.Add(DBUtils.CreateOracleParameter("syncAddressID", OracleDbType.Decimal, syncAddressID)); } if (!StringUtils.IsNull(postalDeliveryTypeCode)) { insertStatement.Append(", POSTAL_DELIVERY_TYPE_CODE"); valuesStatement.Append(", :postalDeliveryTypeCode "); parameters.Add(DBUtils.CreateOracleParameter("postalDeliveryTypeCode", OracleDbType.Varchar2, postalDeliveryTypeCode)); } if (!StringUtils.IsNull(postalDeliveryNum)) { insertStatement.Append(", POSTAL_DELIVERY_NUM"); valuesStatement.Append(", :postalDeliveryNum "); parameters.Add(DBUtils.CreateOracleParameter("postalDeliveryNum", OracleDbType.Varchar2, postalDeliveryNum)); } if (!StringUtils.IsNull(flatUnitTypeCode)) { insertStatement.Append(", FLAT_UNIT_TYPE_CODE"); valuesStatement.Append(", :flatUnitTypeCode "); parameters.Add(DBUtils.CreateOracleParameter("flatUnitTypeCode", OracleDbType.Varchar2, flatUnitTypeCode)); } if (!StringUtils.IsNull(lat)) { insertStatement.Append(", LAT"); valuesStatement.Append(", :lat "); parameters.Add(DBUtils.CreateOracleParameter("lat", OracleDbType.Decimal, lat)); } if (!StringUtils.IsNull(lon)) { insertStatement.Append(", LON"); valuesStatement.Append(", :lon "); parameters.Add(DBUtils.CreateOracleParameter("lon", OracleDbType.Decimal, lon)); } if (!StringUtils.IsNull(zoom)) { insertStatement.Append(", ZOOM"); valuesStatement.Append(", :zoom "); parameters.Add(DBUtils.CreateOracleParameter("zoom", OracleDbType.Decimal, zoom)); } if (!StringUtils.IsNull(flatUnitNum)) { insertStatement.Append(", FLAT_UNIT_NUM"); valuesStatement.Append(", :flatUnitNum "); parameters.Add(DBUtils.CreateOracleParameter("flatUnitNum", OracleDbType.Varchar2, flatUnitNum)); } if (!StringUtils.IsNull(floorLevelCode)) { insertStatement.Append(", FLOOR_LEVEL_CODE"); valuesStatement.Append(", :floorLevelCode "); parameters.Add(DBUtils.CreateOracleParameter("floorLevelCode", OracleDbType.Varchar2, floorLevelCode)); } if (!StringUtils.IsNull(floorLevelNum)) { insertStatement.Append(", FLOOR_LEVEL_NUM"); valuesStatement.Append(", :floorLevelNum "); parameters.Add(DBUtils.CreateOracleParameter("floorLevelNum", OracleDbType.Varchar2, floorLevelNum)); } if (!StringUtils.IsNull(buildingName)) { insertStatement.Append(", BUILDING_NAME"); valuesStatement.Append(", :buildingName "); parameters.Add(DBUtils.CreateOracleParameter("buildingName", OracleDbType.Varchar2, buildingName)); } if (!StringUtils.IsNull(lotNumber)) { insertStatement.Append(", LOT_NUMBER"); valuesStatement.Append(", :lotNumber "); parameters.Add(DBUtils.CreateOracleParameter("lotNumber", OracleDbType.Varchar2, lotNumber)); } if (!StringUtils.IsNull(streetNumber)) { insertStatement.Append(", STREET_NUMBER"); valuesStatement.Append(", :streetNumber "); parameters.Add(DBUtils.CreateOracleParameter("streetNumber", OracleDbType.Varchar2, streetNumber)); } if (!StringUtils.IsNull(streetName)) { insertStatement.Append(", STREET_NAME"); valuesStatement.Append(", :streetName "); parameters.Add(DBUtils.CreateOracleParameter("streetName", OracleDbType.Varchar2, streetName)); } if (!StringUtils.IsNull(streetTypeCode)) { insertStatement.Append(", STREET_TYPE_CODE"); valuesStatement.Append(", :streetTypeCode "); parameters.Add(DBUtils.CreateOracleParameter("streetTypeCode", OracleDbType.Varchar2, streetTypeCode)); } if (!StringUtils.IsNull(streetSuffixCode)) { insertStatement.Append(", STREET_SUFFIX_CODE"); valuesStatement.Append(", :streetSuffixCode "); parameters.Add(DBUtils.CreateOracleParameter("streetSuffixCode", OracleDbType.Varchar2, streetSuffixCode)); } if (!StringUtils.IsNull(locality)) { insertStatement.Append(", LOCALITY"); valuesStatement.Append(", :locality"); parameters.Add(DBUtils.CreateOracleParameter("locality", OracleDbType.Varchar2, locality)); } if (!StringUtils.IsNull(stateCode)) { insertStatement.Append(", STATE_CODE"); valuesStatement.Append(", :stateCode"); parameters.Add(DBUtils.CreateOracleParameter("stateCode", OracleDbType.Varchar2, stateCode)); } if (!StringUtils.IsNull(postcode)) { insertStatement.Append(", POSTCODE"); valuesStatement.Append(", :postcode "); parameters.Add(DBUtils.CreateOracleParameter("postcode", OracleDbType.Varchar2, postcode)); } if (!StringUtils.IsNull(country)) { insertStatement.Append(", COUNTRY"); valuesStatement.Append(", :country "); parameters.Add(DBUtils.CreateOracleParameter("country", OracleDbType.Varchar2, country)); } if (!StringUtils.IsNull(esmsAddress)) { insertStatement.Append(", ESMS_ADDRESS"); valuesStatement.Append(", :esmsAddress "); parameters.Add(DBUtils.CreateOracleParameter("esmsAddress", OracleDbType.Varchar2, esmsAddress)); } if (!StringUtils.IsNull(validatedBy)) { insertStatement.Append(", VALIDATED_DATE"); valuesStatement.Append(", SYSDATE "); insertStatement.Append(", VALIDATED_BY"); valuesStatement.Append(", :validatedBy "); parameters.Add(DBUtils.CreateOracleParameter("validatedBy", OracleDbType.Varchar2, validatedBy)); } if (!StringUtils.IsNull(confidence)) { insertStatement.Append(", VALIDATION_CONFIDENCE"); valuesStatement.Append(", :confidence "); parameters.Add(DBUtils.CreateOracleParameter("confidence", OracleDbType.Decimal, confidence)); } if (!StringUtils.IsNull(status)) { insertStatement.Append(", VALIDATION_STATUS"); valuesStatement.Append(", :status "); parameters.Add(DBUtils.CreateOracleParameter("status", OracleDbType.Varchar2, status)); } if (!StringUtils.IsNull(quality)) { insertStatement.Append(", VALIDATION_QUALITY"); valuesStatement.Append(", :quality "); parameters.Add(DBUtils.CreateOracleParameter("quality", OracleDbType.Decimal, quality)); } // finish off the statement insertStatement.Append(") "); valuesStatement.Append(")"); // build the insert statement string sql = insertStatement + valuesStatement.ToString(); // Execute the INSERT Statement Dml dmlDAO = new Dml(); int rowsAffected = dmlDAO.Execute(sql, transaction, parameters); if (rowsAffected == 0) { throw new NoRowsAffectedException(); } } << many more methods go here >> } This system was developed by me and a small team back in 2005 after a 1 week .NET course. Before than my experience was in client-server applications. Over the past 5 years I've come to recognise the benefits of automated unit testing, automated integration testing and automated acceptance testing (using Selenium or equivalent) but the current code-base seems impossible to introduce these concepts. We are now starting to work on a major enhancement project with tight time-frames. The team consists of 5 .NET developers - 2 developers with a few years of .NET experience and 3 others with little or no .NET experience. None of the team (including myself) has experience in using .NET unit testing or mocking frameworks. What strategy would you use to make this code cleaner, more object-oriented, testable and maintainable?

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  • What is Linq?

    - by Aamir Hasan
    The way data can be retrieved in .NET. LINQ provides a uniform way to retrieve data from any object that implements the IEnumerable<T> interface. With LINQ, arrays, collections, relational data, and XML are all potential data sources. Why LINQ?With LINQ, you can use the same syntax to retrieve data from any data source:var query = from e in employeeswhere e.id == 1select e.nameThe middle level represents the three main parts of the LINQ project: LINQ to Objects is an API that provides methods that represent a set of standard query operators (SQOs) to retrieve data from any object whose class implements the IEnumerable<T> interface. These queries are performed against in-memory data.LINQ to ADO.NET augments SQOs to work against relational data. It is composed of three parts.LINQ to SQL (formerly DLinq) is use to query relational databases such as Microsoft SQL Server. LINQ to DataSet supports queries by using ADO.NET data sets and data tables. LINQ to Entities is a Microsoft ORM solution, allowing developers to use Entities (an ADO.NET 3.0 feature) to declaratively specify the structure of business objects and use LINQ to query them. LINQ to XML (formerly XLinq) not only augments SQOs but also includes a host of XML-specific features for XML document creation and queries. What You Need to Use LINQLINQ is a combination of extensions to .NET languages and class libraries that support them. To use it, you’ll need the following: Obviously LINQ, which is available from the new Microsoft .NET Framework 3.5 that you can download at http://go.microsoft.com/?linkid=7755937.You can speed up your application development time with LINQ using Visual Studio 2008, which offers visual tools such as LINQ to SQL designer and the Intellisense  support with LINQ’s syntax.Optionally, you can download the Visual C# 2008 Expression Edition tool at www.microsoft.com/vstudio/express/download. It is the free edition of Visual Studio 2008 and offers a lot of LINQ support such as Intellisense and LINQ to SQL designer. To use LINQ to ADO.NET, you need SQL

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  • Change Data Capture Webinar

    I am going to be doing a webinar with our friends at Attunity on Change Data Capture.  Attunity have a good story around this technology and you can use it in your SSIS loads to great effect. Join Attunity and Konesans/SQLIS for a Webinar on 17 September Space is limited. Reserve your Webinar seat now at: https://www1.gotomeeting.com/register/693735512 Want increased efficiency and real-time speed when conducting ETL loads? Need lower implementation costs while minimizing system impact? Learn how change data capture (CDC) technologies can reduce ETL load times. Allan Mitchell, Principal Consultant at Konesans and SQLServer MVP specialising in ETL, will explain CDC concepts and benefits and how CDC can dramatically reduce ETL load times. Ian Archibald, Pre-Sales Director EMEA for Attunity, will present and demonstrate Attunity's award-winning Oracle-CDC for SSIS, a fully-integrated SSIS solution for designing, deploying and managing Oracle CDC processes. Title: Change Data Capture - Reducing ETL Load Times Date: Thursday, September 17, 2009 Time: 10:00 AM - 11:00 AM BST ABOUT THE SPEAKERS: Allan Mitchell is the joint owner of Konesans Ltd, a UK based consultancy specializing in SQL Server, and most importantly SQL Server Integration Services. Having been working with SQL Server from 6.5 onwards, he has extensive experience in many aspects of SQL Server, but now focuses on the BI suite of tools. He is a SQL Server MVP, a frequent poster on the MS SSIS/DTS newsgroups, and runs the sqldts.com and sqlis.com resource sites. Ian Archibald, Attunity Pre-Sales Director EMEA, has worked in Attunity’s UK Office for 17 years. An expert in Attunity solutions, Ian has extensive knowledge of Attunity’s products and data integration & CDC technologies. After registering you will receive a confirmation email containing information about joining the Webinar. System Requirements PC-based attendees Required: Windows® 2000, XP Home, XP Pro, 2003 Server, Vista Macintosh®-based attendees Required: Mac OS® X 10.4 (Tiger®) or newer

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  • Change Data Capture Webinar

    I am going to be doing a webinar with our friends at Attunity on Change Data Capture.  Attunity have a good story around this technology and you can use it in your SSIS loads to great effect. Join Attunity and Konesans/SQLIS for a Webinar on 17 September Space is limited. Reserve your Webinar seat now at: https://www1.gotomeeting.com/register/693735512 Want increased efficiency and real-time speed when conducting ETL loads? Need lower implementation costs while minimizing system impact? Learn how change data capture (CDC) technologies can reduce ETL load times. Allan Mitchell, Principal Consultant at Konesans and SQLServer MVP specialising in ETL, will explain CDC concepts and benefits and how CDC can dramatically reduce ETL load times. Ian Archibald, Pre-Sales Director EMEA for Attunity, will present and demonstrate Attunity's award-winning Oracle-CDC for SSIS, a fully-integrated SSIS solution for designing, deploying and managing Oracle CDC processes. Title: Change Data Capture - Reducing ETL Load Times Date: Thursday, September 17, 2009 Time: 10:00 AM - 11:00 AM BST ABOUT THE SPEAKERS: Allan Mitchell is the joint owner of Konesans Ltd, a UK based consultancy specializing in SQL Server, and most importantly SQL Server Integration Services. Having been working with SQL Server from 6.5 onwards, he has extensive experience in many aspects of SQL Server, but now focuses on the BI suite of tools. He is a SQL Server MVP, a frequent poster on the MS SSIS/DTS newsgroups, and runs the sqldts.com and sqlis.com resource sites. Ian Archibald, Attunity Pre-Sales Director EMEA, has worked in Attunity’s UK Office for 17 years. An expert in Attunity solutions, Ian has extensive knowledge of Attunity’s products and data integration & CDC technologies. After registering you will receive a confirmation email containing information about joining the Webinar. System Requirements PC-based attendees Required: Windows® 2000, XP Home, XP Pro, 2003 Server, Vista Macintosh®-based attendees Required: Mac OS® X 10.4 (Tiger®) or newer

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  • Logging connection strings

    If you some of the dynamic features of SSIS such as package configurations or property expressions then sometimes trying to work out were your connections are pointing can be a bit confusing. You will work out in the end but it can be useful to explicitly log this information so that when things go wrong you can just review the logs. You may wish to develop this idea further and encapsulate such logging into a custom task, but for now lets keep it simple and use the Script Task. The Script Task code below will raise an Information event showing the name and connection string for a connection. Imports System Imports Microsoft.SqlServer.Dts.Runtime Public Class ScriptMain Public Sub Main() Dim fireAgain As Boolean ' Get the connection string, we need to know the name of the connection Dim connectionName As String = "My OLE-DB Connection" Dim connectionString As String = Dts.Connections(connectionName).ConnectionString ' Format the message and log it via an information event Dim message As String = String.Format("Connection ""{0}"" has a connection string of ""{1}"".", _ connectionName, connectionString) Dts.Events.FireInformation(0, "Information", message, Nothing, 0, fireAgain) Dts.TaskResult = Dts.Results.Success End Sub End Class Building on that example it is probably more flexible to log all connections in a package as shown in the next example. Imports System Imports Microsoft.SqlServer.Dts.Runtime Public Class ScriptMain Public Sub Main() Dim fireAgain As Boolean ' Loop through all connections in the package For Each connection As ConnectionManager In Dts.Connections ' Get the connection string and log it via an information event Dim message As String = String.Format("Connection ""{0}"" has a connection string of ""{1}"".", _ connection.Name, connection.ConnectionString) Dts.Events.FireInformation(0, "Information", message, Nothing, 0, fireAgain) Next Dts.TaskResult = Dts.Results.Success End Sub End Class By using the Information event it makes it readily available in the designer, for example the Visual Studio Output window (Ctrl+Alt+O) or the package designer Execution Results tab, and also allows you to readily control the logging by choosing which events to log in the normal way. Now before somebody starts commenting that this is a security risk, I would like to highlight good practice for building connection managers. Firstly the Password property, or any other similar sensitive property is always defined as write-only, and secondly the connection string property only uses the public properties to assemble the connection string value when requested. In other words the connection string will never contain the password. I have seen a couple of cases where this is not true, but that was just bad development by third-parties, you won’t find anything like that in the box from Microsoft.   Whilst writing this code it made me wish that there was a custom log entry that you could just turn on that did this for you, but alas connection managers do not even seem to support custom events. It did however remind me of a very useful event that is often overlooked and fits rather well alongside connection string logging, the Execute SQL Task’s custom ExecuteSQLExecutingQuery event. To quote the help reference Custom Messages for Logging - Provides information about the execution phases of the SQL statement. Log entries are written when the task acquires connection to the database, when the task starts to prepare the SQL statement, and after the execution of the SQL statement is completed. The log entry for the prepare phase includes the SQL statement that the task uses. It is the last part that is so useful, how often have you used an expression to derive a SQL statement and you want to log that to make sure the correct SQL is being returned? You need to turn it one, by default no custom log events are captured, but I’ll refer you to a walkthrough on setting up the logging for ExecuteSQLExecutingQuery by Jamie.

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  • No mapping between account names and security IDs was done

    - by ybbest
    When I try to install SQL Server 2008 R2, I got the error “No mapping between account names and security IDs was done” when I try to set the SQL Server Database engine services identity to a domain user name. The reason I am getting the error is that I create a base VM forgot to run sysprep, before I copy the VM and used to install SQL servers. You need to run the sysprep as follows: References: How to Sysprep in Windows Server 2008 R2 and Windows 7

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  • Entity Framework v1 &ndash; tips and Tricks Part 3

    - by Rohit Gupta
    General Tips on Entity Framework v1 & Linq to Entities: ToTraceString() If you need to know the underlying SQL that the EF generates for a Linq To Entities query, then use the ToTraceString() method of the ObjectQuery class. (or use LINQPAD) Note that you need to cast the LINQToEntities query to ObjectQuery before calling TotraceString() as follows: 1: string efSQL = ((ObjectQuery)from c in ctx.Contact 2: where c.Address.Any(a => a.CountryRegion == "US") 3: select c.ContactID).ToTraceString(); ================================================================================ MARS or MultipleActiveResultSet When you create a EDM Model (EDMX file) from the database using Visual Studio, it generates a connection string with the same name as the name of the EntityContainer in CSDL. In the ConnectionString so generated it sets the MultipleActiveResultSet attribute to true by default. So if you are running the following query then it streams multiple readers over the same connection: 1: using (BAEntities context = new BAEntities()) 2: { 3: var cons = 4: from con in context.Contacts 5: where con.FirstName == "Jose" 6: select con; 7: foreach (var c in cons) 8: { 9: if (c.AddDate < new System.DateTime(2007, 1, 1)) 10: { 11: c.Addresses.Load(); 12: } 13: } 14: } ================================================================================= Explicitly opening and closing EntityConnection When you call ToList() or foreach on a LINQToEntities query the EF automatically closes the connection after all the records from the query have been consumed. Thus if you need to run many LINQToEntities queries over the same connection then explicitly open and close the connection as follows: 1: using (BAEntities context = new BAEntities()) 2: { 3: context.Connection.Open(); 4: var cons = from con in context.Contacts where con.FirstName == "Jose" 5: select con; 6: var conList = cons.ToList(); 7: var allCustomers = from con in context.Contacts.OfType<Customer>() 8: select con; 9: var allcustList = allCustomers.ToList(); 10: context.Connection.Close(); 11: } ====================================================================== Dispose ObjectContext only if required After you retrieve entities using the ObjectContext and you are not explicitly disposing the ObjectContext then insure that your code does consume all the records from the LinqToEntities query by calling .ToList() or foreach statement, otherwise the the database connection will remain open and will be closed by the garbage collector when it gets to dispose the ObjectContext. Secondly if you are making updates to the entities retrieved using LinqToEntities then insure that you dont inadverdently dispose of the ObjectContext after the entities are retrieved and before calling .SaveChanges() since you need the SAME ObjectContext to keep track of changes made to the Entities (by using ObjectStateEntry objects). So if you do need to explicitly dispose of the ObjectContext do so only after calling SaveChanges() and only if you dont need to change track the entities retrieved any further. ======================================================================= SQL InjectionAttacks under control with EFv1 LinqToEntities and LinqToSQL queries are parameterized before they are sent to the DB hence they are not vulnerable to SQL Injection attacks. EntitySQL may be slightly vulnerable to attacks since it does not use parameterized queries. However since the EntitySQL demands that the query be valid Entity SQL syntax and valid native SQL syntax at the same time. So the only way one can do a SQLInjection Attack is by knowing the SSDL of the EDM Model and be able to write the correct EntitySQL (note one cannot append regular SQL since then the query wont be a valid EntitySQL syntax) and append it to a parameter. ====================================================================== Improving Performance You can convert the EntitySets and AssociationSets in a EDM Model into precompiled Views using the edmgen utility. for e.g. the Customer Entity can be converted into a precompiled view using edmgen and all LinqToEntities query against the contaxt.Customer EntitySet will use the precompiled View instead of the EntitySet itself (the same being true for relationships (EntityReference & EntityCollections of a Entity)). The advantage being that when using precompiled views the performance will be much better. The syntax for generating precompiled views for a existing EF project is : edmgen /mode:ViewGeneration /inssdl:BAModel.ssdl /incsdl:BAModel.csdl /inmsl:BAModel.msl /p:Chap14.csproj Note that this will only generate precompiled views for EntitySets and Associations and not for existing LinqToEntities queries in the project.(for that use CompiledQuery.Compile<>) Secondly if you have a LinqToEntities query that you need to run multiple times, then one should precompile the query using CompiledQuery.Compile method. The CompiledQuery.Compile<> method accepts a lamda expression as a parameter, which denotes the LinqToEntities query  that you need to precompile. The following is a example of a lamda that we can pass into the CompiledQuery.Compile() method 1: Expression<Func<BAEntities, string, IQueryable<Customer>>> expr = (BAEntities ctx1, string loc) => 2: from c in ctx1.Contacts.OfType<Customer>() 3: where c.Reservations.Any(r => r.Trip.Destination.DestinationName == loc) 4: select c; Then we call the Compile Query as follows: 1: var query = CompiledQuery.Compile<BAEntities, string, IQueryable<Customer>>(expr); 2:  3: using (BAEntities ctx = new BAEntities()) 4: { 5: var loc = "Malta"; 6: IQueryable<Customer> custs = query.Invoke(ctx, loc); 7: var custlist = custs.ToList(); 8: foreach (var item in custlist) 9: { 10: Console.WriteLine(item.FullName); 11: } 12: } Note that if you created a ObjectQuery or a Enitity SQL query instead of the LINQToEntities query, you dont need precompilation for e.g. 1: An Example of EntitySQL query : 2: string esql = "SELECT VALUE c from Contacts AS c where c is of(BAGA.Customer) and c.LastName = 'Gupta'"; 3: ObjectQuery<Customer> custs = CreateQuery<Customer>(esql); 1: An Example of ObjectQuery built using ObjectBuilder methods: 2: from c in Contacts.OfType<Customer>().Where("it.LastName == 'Gupta'") 3: select c This is since the Query plan is cached and thus the performance improves a bit, however since the ObjectQuery or EntitySQL query still needs to materialize the results into Entities hence it will take the same amount of performance hit as with LinqToEntities. However note that not ALL EntitySQL based or QueryBuilder based ObjectQuery plans are cached. So if you are in doubt always create a LinqToEntities compiled query and use that instead ============================================================ GetObjectStateEntry Versus GetObjectByKey We can get to the Entity being referenced by the ObjectStateEntry via its Entity property and there are helper methods in the ObjectStateManager (osm.TryGetObjectStateEntry) to get the ObjectStateEntry for a entity (for which we know the EntityKey). Similarly The ObjectContext has helper methods to get an Entity i.e. TryGetObjectByKey(). TryGetObjectByKey() uses GetObjectStateEntry method under the covers to find the object, however One important difference between these 2 methods is that TryGetObjectByKey queries the database if it is unable to find the object in the context, whereas TryGetObjectStateEntry only looks in the context for existing entries. It will not make a trip to the database ============================================================= POCO objects with EFv1: To create POCO objects that can be used with EFv1. We need to implement 3 key interfaces: IEntityWithKey IEntityWithRelationships IEntityWithChangeTracker Implementing IEntityWithKey is not mandatory, but if you dont then we need to explicitly provide values for the EntityKey for various functions (for e.g. the functions needed to implement IEntityWithChangeTracker and IEntityWithRelationships). Implementation of IEntityWithKey involves exposing a property named EntityKey which returns a EntityKey object. Implementation of IEntityWithChangeTracker involves implementing a method named SetChangeTracker since there can be multiple changetrackers (Object Contexts) existing in memory at the same time. 1: public void SetChangeTracker(IEntityChangeTracker changeTracker) 2: { 3: _changeTracker = changeTracker; 4: } Additionally each property in the POCO object needs to notify the changetracker (objContext) that it is updating itself by calling the EntityMemberChanged and EntityMemberChanging methods on the changeTracker. for e.g.: 1: public EntityKey EntityKey 2: { 3: get { return _entityKey; } 4: set 5: { 6: if (_changeTracker != null) 7: { 8: _changeTracker.EntityMemberChanging("EntityKey"); 9: _entityKey = value; 10: _changeTracker.EntityMemberChanged("EntityKey"); 11: } 12: else 13: _entityKey = value; 14: } 15: } 16: ===================== Custom Property ==================================== 17:  18: [EdmScalarPropertyAttribute(IsNullable = false)] 19: public System.DateTime OrderDate 20: { 21: get { return _orderDate; } 22: set 23: { 24: if (_changeTracker != null) 25: { 26: _changeTracker.EntityMemberChanging("OrderDate"); 27: _orderDate = value; 28: _changeTracker.EntityMemberChanged("OrderDate"); 29: } 30: else 31: _orderDate = value; 32: } 33: } Finally you also need to create the EntityState property as follows: 1: public EntityState EntityState 2: { 3: get { return _changeTracker.EntityState; } 4: } The IEntityWithRelationships involves creating a property that returns RelationshipManager object: 1: public RelationshipManager RelationshipManager 2: { 3: get 4: { 5: if (_relManager == null) 6: _relManager = RelationshipManager.Create(this); 7: return _relManager; 8: } 9: } ============================================================ Tip : ProviderManifestToken – change EDMX File to use SQL 2008 instead of SQL 2005 To use with SQL Server 2008, edit the EDMX file (the raw XML) changing the ProviderManifestToken in the SSDL attributes from "2005" to "2008" ============================================================= With EFv1 we cannot use Structs to replace a anonymous Type while doing projections in a LINQ to Entities query. While the same is supported with LINQToSQL, it is not with LinqToEntities. For e.g. the following is not supported with LinqToEntities since only parameterless constructors and initializers are supported in LINQ to Entities. (the same works with LINQToSQL) 1: public struct CompanyInfo 2: { 3: public int ID { get; set; } 4: public string Name { get; set; } 5: } 6: var companies = (from c in dc.Companies 7: where c.CompanyIcon == null 8: select new CompanyInfo { Name = c.CompanyName, ID = c.CompanyId }).ToList(); ;

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  • Information regarding Collection 6233 - Implementing and Maintaining Business Intelligence in Micros

    - by Testas
    At the London SQL Server User Group I was asked a number of questions regarding the release of Collection 6233 - Implementing and Maintaining Business Intelligence in Microsoft® SQL Server® 2008: Integration Services, Reporting Services and Analysis Services, which has been authored by myself. Particularly regarding the SSIS component of the collection. Elearning is an interactive training experience that enables you to learn at your own pace. With a variety of learning tools including demonstrations, animations as well as written materials and the addition of labs that enables you to reinforce your learning. Microsoft Elearning can provide a valuable learning tool when you may not have the time to take out of the office to attend a courseThis 24-hour collection provides you with the skills and knowledge required to implement and maintain business intelligence solutions on SQL Server 2008 and also helps students to prepare for Exam 70-448 and you can buy each part individually see: http://www.microsoft.com/learning/elearning/course/6233.mspx   However, you will create a simple data warehouse in this collection and use SSIS to create packages to populate the data warehouse with data, exploring key concepts and tools to faciliatate this. This was a decision thart I took when writing this course based on feedback from hundreds of students who attended Microsoft Official Courses on SSIS. They wanted a course that allowed them to use SSIS to work with a data warehouse. This collection will certainly enable you to explore the options available in SSIS to meet this requirement while at the same time meeting the certification requirements I hope this answers the questions regarding this collection and hope you enjoy this collection   Chris  

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  • Oracle BI Server Modeling, Part 1- Designing a Query Factory

    - by bob.ertl(at)oracle.com
      Welcome to Oracle BI Development's BI Foundation blog, focused on helping you get the most value from your Oracle Business Intelligence Enterprise Edition (BI EE) platform deployments.  In my first series of posts, I plan to show developers the concepts and best practices for modeling in the Common Enterprise Information Model (CEIM), the semantic layer of Oracle BI EE.  In this segment, I will lay the groundwork for the modeling concepts.  First, I will cover the big picture of how the BI Server fits into the system, and how the CEIM controls the query processing. Oracle BI EE Query Cycle The purpose of the Oracle BI Server is to bridge the gap between the presentation services and the data sources.  There are typically a variety of data sources in a variety of technologies: relational, normalized transaction systems; relational star-schema data warehouses and marts; multidimensional analytic cubes and financial applications; flat files, Excel files, XML files, and so on. Business datasets can reside in a single type of source, or, most of the time, are spread across various types of sources. Presentation services users are generally business people who need to be able to query that set of sources without any knowledge of technologies, schemas, or how sources are organized in their company. They think of business analysis in terms of measures with specific calculations, hierarchical dimensions for breaking those measures down, and detailed reports of the business transactions themselves.  Most of them create queries without knowing it, by picking a dashboard page and some filters.  Others create their own analysis by selecting metrics and dimensional attributes, and possibly creating additional calculations. The BI Server bridges that gap from simple business terms to technical physical queries by exposing just the business focused measures and dimensional attributes that business people can use in their analyses and dashboards.   After they make their selections and start the analysis, the BI Server plans the best way to query the data sources, writes the optimized sequence of physical queries to those sources, post-processes the results, and presents them to the client as a single result set suitable for tables, pivots and charts. The CEIM is a model that controls the processing of the BI Server.  It provides the subject areas that presentation services exposes for business users to select simplified metrics and dimensional attributes for their analysis.  It models the mappings to the physical data access, the calculations and logical transformations, and the data access security rules.  The CEIM consists of metadata stored in the repository, authored by developers using the Administration Tool client.     Presentation services and other query clients create their queries in BI EE's SQL-92 language, called Logical SQL or LSQL.  The API simply uses ODBC or JDBC to pass the query to the BI Server.  Presentation services writes the LSQL query in terms of the simplified objects presented to the users.  The BI Server creates a query plan, and rewrites the LSQL into fully-detailed SQL or other languages suitable for querying the physical sources.  For example, the LSQL on the left below was rewritten into the physical SQL for an Oracle 11g database on the right. Logical SQL   Physical SQL SELECT "D0 Time"."T02 Per Name Month" saw_0, "D4 Product"."P01  Product" saw_1, "F2 Units"."2-01  Billed Qty  (Sum All)" saw_2 FROM "Sample Sales" ORDER BY saw_0, saw_1       WITH SAWITH0 AS ( select T986.Per_Name_Month as c1, T879.Prod_Dsc as c2,      sum(T835.Units) as c3, T879.Prod_Key as c4 from      Product T879 /* A05 Product */ ,      Time_Mth T986 /* A08 Time Mth */ ,      FactsRev T835 /* A11 Revenue (Billed Time Join) */ where ( T835.Prod_Key = T879.Prod_Key and T835.Bill_Mth = T986.Row_Wid) group by T879.Prod_Dsc, T879.Prod_Key, T986.Per_Name_Month ) select SAWITH0.c1 as c1, SAWITH0.c2 as c2, SAWITH0.c3 as c3 from SAWITH0 order by c1, c2   Probably everybody reading this blog can write SQL or MDX.  However, the trick in designing the CEIM is that you are modeling a query-generation factory.  Rather than hand-crafting individual queries, you model behavior and relationships, thus configuring the BI Server machinery to manufacture millions of different queries in response to random user requests.  This mass production requires a different mindset and approach than when you are designing individual SQL statements in tools such as Oracle SQL Developer, Oracle Hyperion Interactive Reporting (formerly Brio), or Oracle BI Publisher.   The Structure of the Common Enterprise Information Model (CEIM) The CEIM has a unique structure specifically for modeling the relationships and behaviors that fill the gap from logical user requests to physical data source queries and back to the result.  The model divides the functionality into three specialized layers, called Presentation, Business Model and Mapping, and Physical, as shown below. Presentation services clients can generally only see the presentation layer, and the objects in the presentation layer are normally the only ones used in the LSQL request.  When a request comes into the BI Server from presentation services or another client, the relationships and objects in the model allow the BI Server to select the appropriate data sources, create a query plan, and generate the physical queries.  That's the left to right flow in the diagram below.  When the results come back from the data source queries, the right to left relationships in the model show how to transform the results and perform any final calculations and functions that could not be pushed down to the databases.   Business Model Think of the business model as the heart of the CEIM you are designing.  This is where you define the analytic behavior seen by the users, and the superset library of metric and dimension objects available to the user community as a whole.  It also provides the baseline business-friendly names and user-readable dictionary.  For these reasons, it is often called the "logical" model--it is a virtual database schema that persists no data, but can be queried as if it is a database. The business model always has a dimensional shape (more on this in future posts), and its simple shape and terminology hides the complexity of the source data models. Besides hiding complexity and normalizing terminology, this layer adds most of the analytic value, as well.  This is where you define the rich, dimensional behavior of the metrics and complex business calculations, as well as the conformed dimensions and hierarchies.  It contributes to the ease of use for business users, since the dimensional metric definitions apply in any context of filters and drill-downs, and the conformed dimensions enable dashboard-wide filters and guided analysis links that bring context along from one page to the next.  The conformed dimensions also provide a key to hiding the complexity of many sources, including federation of different databases, behind the simple business model. Note that the expression language in this layer is LSQL, so that any expression can be rewritten into any data source's query language at run time.  This is important for federation, where a given logical object can map to several different physical objects in different databases.  It is also important to portability of the CEIM to different database brands, which is a key requirement for Oracle's BI Applications products. Your requirements process with your user community will mostly affect the business model.  This is where you will define most of the things they specifically ask for, such as metric definitions.  For this reason, many of the best-practice methodologies of our consulting partners start with the high-level definition of this layer. Physical Model The physical model connects the business model that meets your users' requirements to the reality of the data sources you have available. In the query factory analogy, think of the physical layer as the bill of materials for generating physical queries.  Every schema, table, column, join, cube, hierarchy, etc., that will appear in any physical query manufactured at run time must be modeled here at design time. Each physical data source will have its own physical model, or "database" object in the CEIM.  The shape of each physical model matches the shape of its physical source.  In other words, if the source is normalized relational, the physical model will mimic that normalized shape.  If it is a hypercube, the physical model will have a hypercube shape.  If it is a flat file, it will have a denormalized tabular shape. To aid in query optimization, the physical layer also tracks the specifics of the database brand and release.  This allows the BI Server to make the most of each physical source's distinct capabilities, writing queries in its syntax, and using its specific functions. This allows the BI Server to push processing work as deep as possible into the physical source, which minimizes data movement and takes full advantage of the database's own optimizer.  For most data sources, native APIs are used to further optimize performance and functionality. The value of having a distinct separation between the logical (business) and physical models is encapsulation of the physical characteristics.  This encapsulation is another enabler of packaged BI applications and federation.  It is also key to hiding the complex shapes and relationships in the physical sources from the end users.  Consider a routine drill-down in the business model: physically, it can require a drill-through where the first query is MDX to a multidimensional cube, followed by the drill-down query in SQL to a normalized relational database.  The only difference from the user's point of view is that the 2nd query added a more detailed dimension level column - everything else was the same. Mappings Within the Business Model and Mapping Layer, the mappings provide the binding from each logical column and join in the dimensional business model, to each of the objects that can provide its data in the physical layer.  When there is more than one option for a physical source, rules in the mappings are applied to the query context to determine which of the data sources should be hit, and how to combine their results if more than one is used.  These rules specify aggregate navigation, vertical partitioning (fragmentation), and horizontal partitioning, any of which can be federated across multiple, heterogeneous sources.  These mappings are usually the most sophisticated part of the CEIM. Presentation You might think of the presentation layer as a set of very simple relational-like views into the business model.  Over ODBC/JDBC, they present a relational catalog consisting of databases, tables and columns.  For business users, presentation services interprets these as subject areas, folders and columns, respectively.  (Note that in 10g, subject areas were called presentation catalogs in the CEIM.  In this blog, I will stick to 11g terminology.)  Generally speaking, presentation services and other clients can query only these objects (there are exceptions for certain clients such as BI Publisher and Essbase Studio). The purpose of the presentation layer is to specialize the business model for different categories of users.  Based on a user's role, they will be restricted to specific subject areas, tables and columns for security.  The breakdown of the model into multiple subject areas organizes the content for users, and subjects superfluous to a particular business role can be hidden from that set of users.  Customized names and descriptions can be used to override the business model names for a specific audience.  Variables in the object names can be used for localization. For these reasons, you are better off thinking of the tables in the presentation layer as folders than as strict relational tables.  The real semantics of tables and how they function is in the business model, and any grouping of columns can be included in any table in the presentation layer.  In 11g, an LSQL query can also span multiple presentation subject areas, as long as they map to the same business model. Other Model Objects There are some objects that apply to multiple layers.  These include security-related objects, such as application roles, users, data filters, and query limits (governors).  There are also variables you can use in parameters and expressions, and initialization blocks for loading their initial values on a static or user session basis.  Finally, there are Multi-User Development (MUD) projects for developers to check out units of work, and objects for the marketing feature used by our packaged customer relationship management (CRM) software.   The Query Factory At this point, you should have a grasp on the query factory concept.  When developing the CEIM model, you are configuring the BI Server to automatically manufacture millions of queries in response to random user requests. You do this by defining the analytic behavior in the business model, mapping that to the physical data sources, and exposing it through the presentation layer's role-based subject areas. While configuring mass production requires a different mindset than when you hand-craft individual SQL or MDX statements, it builds on the modeling and query concepts you already understand. The following posts in this series will walk through the CEIM modeling concepts and best practices in detail.  We will initially review dimensional concepts so you can understand the business model, and then present a pattern-based approach to learning the mappings from a variety of physical schema shapes and deployments to the dimensional model.  Along the way, we will also present the dimensional calculation template, and learn how to configure the many additivity patterns.

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  • 5 ways the Exceptional DBA Award could boost your career

    - by Rebecca Amos
    Winning the Exceptional DBA Award won’t just get you full conference registration for the PASS Summit – it could also change your life and career. With a little help from our past winners, here are the top 5 ways the Exceptional DBA Award could take your career to the next level: 1. Recognition from your peers As 2009 winner Josef Richberg says, “Being recognized by your peers is the highest honor one can receive.” Whether you enter yourself, or are nominated by a friend or colleague, the fact that the winner is selected by the SQL Server community is a great chance for your peers to recognize your achievements as a DBA. 2. Boost your CV Winning the Exceptional DBA Award not only shows that you excel as a DBA, but that SQL Server experts think so too – a huge vote of confidence for any prospective employer. 2008 winner Dan McClain agrees, “It brings another level of 'wow' to my resume”. 3. Networking opportunities within the community Whether you want to increase your experience as a writer, speaker or blogger, winning the Exceptional DBA Award can open up new opportunities within the SQL Server community. Plus you’ll make new friends along the way, as Josef has discovered: “It is an unbelievable community that has become an extended family.” 4. Award ceremony at the world's largest technical SQL Server conference The Exceptional DBA Award is presented at the PASS Summit, giving you great networking opportunities and a chance to be seen by people throughout the SQL Server community. 5. Increased personal confidence Finally, the Exceptional DBA Award should give a huge boost to your personal confidence. Last year’s winner, Tracy Hamlin has certainly found this: “The recognition has given me new confidence and the drive to accomplish even loftier goals.” Read the full interview with our past winners to find out how why they’re encouraging you to enter this year’s Exceptional DBA Awards. Already inspired? Then why not get started on your entry straightaway: www.exceptionaldba.com

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