On the Output Attributes tab, create an output attribute by clicking on a blank cell under the Attribute column. Warehouse Builder displays the Expression Editor. Right-click the Expression operator and select Open Details. Drag and drop an Expression operator onto the Mapping Editor canvas. To define an Expression operator in a mapping: 1. This is because an aggregation operator in this scenario adds parenthesis, and the commenting removes one of them, creating unbalanced parenthesis. Also, do not use a line-end or double-dash comment ( - ) after an expression in an expression operator if the expression is connected to an aggregation operator, as this causes a deployment compile error. See 'Aggregator Operator' on page 26-5 for more information about the Aggregator operator.

Figure 26–7 Expression Operator in a Mappingįilter Operator 26-12 Oracle Warehouse Builder Data Modeling, ETL, and Data Quality Guide Do not use the Expression operator to write aggregation functions. The Aggregator operator aggregates the sale amounts over channel code, product ID, and order ID before loading the target table. The Expression operator is used to compute the amount of sale for each product by multiplying the unit price by the quantity sold.

The ORDERS_FACT table contains an aggregation of the total sales amount across channels, products, and orders. The transaction table ORACLE_ORDERS contains order details such as product ID, unit price, and quantity sold. Figure 26–7 shows a mapping that uses the Expression operator. By default, the Expression operator contains one input group and one output group. To create these expressions, open the Attribute properties window for the output attribute and then open the Expression Builder. Use the Expression operator to transform the column value data of rows within a row set using SQL-type expressions, while preserving the cardinality of the input row set. The expression text can contain combinations of input parameter names, variable names, and library functions. Expression Operator Use the Expression operator to write SQL expressions that define non-procedural algorithms for one output parameter of the operator.

Connect the attributes from the Deduplicator operator group to the attributes of the target operator. With some experimentation on the range between ‘strict’ and ‘fuzzy’, the operator should find a satisfactory level of deduplication.3. ‘Bob’ will be treated as a duplicate of ‘Bobby’. Moving the slider all the way towards ‘fuzzy’ will greatly reduce the strictness of the matching algorithm – e.g. ‘Jenni’ will be treated as a duplicate of ‘Jenny’. Moving the slider another notch towards ‘fuzzy’ will result in a spelling-insensitive comparison – e.g. ‘DAVE’ will be treated as a duplicate of ‘Dave’. Moving the fuzziness slider one notch towards ‘fuzzy’ will result in a case-insensitive comparison – e.g. To account for variation in capitalisation and spelling, you may wish to use fuzzy matching. Your list has now been deduplicated and contains only unique elements. Deduplicator will identify duplicate items and show them in a preview window. Simply paste your list into Deduplicator and hit ‘Find Duplicates’.