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To associate an aspect instance with the target object for a matching join point instead of the execution object, you use pertarget() instead of perthis(). 4.3.3 Per-control-flow association As with per-object association, you sometimes need per-control-flow association to store per-control-flow states in implementations. You can think of control flow as a conceptual object that encapsulates the thread of execution encompassing a given join point. The per-control-flow state then is data associated with this conceptual control-flow object. With per-control-flow association, an aspect instance is associated with each control flow matching the association specification. Consider the following snippet of a reusable base aspect providing transaction management. This aspect needs to store states needed by the transaction management, such as a JDBC connection object used by all operations:

The DBXP restrict operation is implemented in a method called do_restrict() of the Query_tree class. The code uses the where_expr member variable of the Query_tree class that contains an instantiation of the Expression helper class. The implementation of the restrict operation is therefore simplified to calling the evaluate() method of the Expression class. Listing 12-21 shows the code for the do_restrict() method. Listing 12-21. DBXP Restrict Method /* Perform restrict operation. SYNOPSIS do_restrict() query_node *qn IN the operational node in the query tree. READ_RECORD *t -- the tuple to apply the operation to. DESCRIPTION This method performs the relational model operation entitled "restrict". This operation is a narrowing of the result set horizontally by satisfying the expressions listed in the where clause of the SQL statement being executed.

Your pivot table contains a calculated item, but you didn t create one and aren t sure how it got there.

public abstract aspect TransactionManagementAspect percflow(transacted()) { ... aspect state: ... instance members such as the connection object used

RETURN VALUE Success = true Failed = false */ bool Query_tree::do_restrict(query_node *qn, READ_RECORD *t) { bool found = false; DBUG_ENTER("do_restrict"); if (qn != NULL) { /* If the left table isn't NULL, copy the record buffer from the table into the record buffer of the relations class. This completes the read from the storage engine and now provides the data for the projection which is accomplished in send_data(). Lastly, evaluate the where clause. If the where clause evaluates to true, we keep the record else we discard it. */ if (qn->relations[0] != NULL) memcpy((byte *)qn->relations[0]->table->record[0], (byte *)t->rec_buf, qn->relations[0]->table->s->rec_buff_length); if (qn->where_expr != NULL) found = qn->where_expr->evaluate(qn->relations[0]->table); } DBUG_RETURN(found); } When a match is found, the data is copied to the record buffer of the table. This associates the data in the current record buffer with the table. It also allows the use of the many MySQL methods to manipulate fields and send data to the client.

It s possible to accidentally create a calculated formula if you drag the fill handle on one of the labels. Follow these steps to remove the formula: 1. Select the field button for the field that contains the calculated item. 2. From the Pivot toolbar, choose PivotTable Formulas Calculated Item. 3. From the dropdown list of formulas, select the formula you want to delete. 4. Click the Delete button, then click the Close button.

abstract pointcut transacted(); ... advice using the aspect state }

The DBXP join operation is implemented in a method called do_join() of the Query_tree class. The code uses the join_expr member variable of the Query_tree class that contains an instantiation of the Expression helper class. The implementation of the evaluation of the join conditions is therefore simplified to calling the evaluate() method of the Expression class. This method is the most complex of all of the DBXP code. The reason for the complexity is due in part to the many conditions under which a join must be evaluated. The theoretical join algorithm described previously and the examples shown illustrate the complexity. I will expand on that a bit here in preparation for your examination of the do_join() source code. Listing 12-22 presents the simplified pseudocode for the do_join() method.

We can then introduce a transaction management capability in a banking application by extending this aspect and providing a definition for the abstract transacted() pointcut: