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Functionally, data statements are roughly equivalent to their SQL counterparts, but you need to read the MBS documentation before you start firing away; there are fundamental syntactic differences. There are four types of single-line data statements (meaning they operate on only one record at a time): Select: Used for retrieving data from the database; in code it looks like this: public void method myMethod() { CustTable custTable; custTable.reread(); select AccountNum, AccountName from custTable where custTable.AccountNum "1"; } Insert: Used for creating new records in a table; in code it looks like this: public void method myMethod() { CustTable custTable; custTable.AccountNum = _1_; custTable.Name = 'Name_' + _Spirou_; custTable.insert(); } Update: Used for updating records in a table; in code it looks like this: public void method myMethod() { CustTable custTable; ttsbegin; delete_from custTable where custTable.Name like 'Name_*'; ttscommit; }

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Delete: Used for deleting records in a table; in code it looks like this: public void method myMethod() { CustTable custTable; ttsbegin; delete_from custTable where custTable.Name like 'Name_*'; ttscommit; } These statements are very powerful and fast. However, they have a drawback: They do not pass through the application logic in Axapta and directly manipulate the data in the database that you are using, so make sure you really know what you are doing before you use them. The preceding statements are single-row statements, but Axapta 3.0 introduced equivalent record-set statements that are much more efficient because they operate on an entire set of records at a time. These are: UPDATE_RECORDSET INSERT_RECORDSET ARRAY INSERT We highly recommend using record-set statements when manipulating data with data statements.

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Finally, write a separate suite of controller-level integration tests. Just as with unit tests, there are essentially two types of controller tests: isolated tests (the main topic of this chapter), and integration tests.8 All the comments in top ten item #1 for unit tests (see 5) also apply to controller tests, so, rather than repeating them here, we ll point you straight to 11, where we show you how to write controller-level integration tests (that is, tests that validate a single logical software function and freely make calls out to remote services and databases). Note that you may also find that, as you begin to master the technique, you ll write more controller tests as integration/external tests than as isolated tests. As soon as your project is set up to support integration tests, you ll probably find that you prefer to write integrated controller tests, as it s a more complete test of a logical software function. This is absolutely fine and won t cause an infection. But do remember to keep the integration tests separate from your main build.

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Transactions allow you to explicitly group a set of data statements into a logical block that either succeeds or fails as a whole. If a data statement in a transaction block fails, then all changes to the data are rolled back; if all statements succeed, then all changes are committed. Here are the transaction types: ttsbegin: Starts a transaction block ttscommit: Ends a transaction block and commits all data changes to the database ttsabort: Discards all changes to the data so the database is rolled back and its state restored to the state at entrance to the transaction block

{ ttsBegin; select forUpdate * from myTable; myTable.fname = _Dupont_; myTable.update(); ttsCommit; } catch(exception::Error) { ttsabort; return(false); } return(true); } If you do not explicitly close the transaction block, your changes are never committed and are instead discarded when the block goes out of scope. Therefore, in the preceding code you do not need to have a ttsabort in the catch clause of the try statement, but you could explicitly force the discard of your update by inserting it.

8 To reiterate, for the purposes of this book, integration tests are tests where the code calls out to external systems, while controller tests operate on a group of units or functions.

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