Decomposing documents in XML Extender that contain non unique attribute 4and element names

You can now decompose documents that contain non-unique attributes or non-unique 4element names that map to different columns (of the same or different tables) 4without receiving the DXXQ045E error. The following is an example of an XML 4document with non-unique attributes and non-unique element names:

<Order ID="0001-6789">
4       <!-- Note: attribute name ID is non-unique -->
4       <Customer ID="1111">
4                    <Name>John Smith</Name>
4       </Customer>
4       <!-- Note: element name Name is non_unique -->
4       <Salesperson ID="1234"> 
4              <Name>Jane Doe</Name>
4       </Salesperson>
4       <OrderDetail>
4              <ItemNo>xxxx-xxxx</ItemNo>
4              <Quantity>2</Quantity>
4              <UnitPrice>12.50</UnitPrice>
4       </OrderDetail>
4       <OrderDetail>
4              <ItemNo>yyyy-yyyy</ItemNo>
4              <Quantity>4</Quantity>
4              <UnitPrice>24.99</UnitPrice>
4       </OrderDetail>       
4</Order>

The accompanying DAD, which maps the duplicate elements and 4attributes to different columns, looks like this:

<element_node name="Order">
4  <RDB_node>
4    <table name="order_tab" key="order_id"/>
4    <table name="detail_tab"/>
4    <condition>
4      order_tab.order_id=detail_tab.order_id
4    </condition>
4  </RDB_node>
4
4  <!--attribute ID duplicated below, but mapped to a different col-->
4  <attribute_node name="ID">
4    <RDB_node>
4      <table name="order_tab" />
4      <column name="order_id" type="char(9)"/>
4    </RDB_node>
4  </attribute_node>
4  
4  <element_node name="Customer">
4    <!--attribute ID duplicated above, but mapped to a different col-->
4    <attribute_node name="ID">
4      <RDB_node>
4        <table name="order_tab" />
4        <column name="cust_id" type="integer"/>
4      </RDB_node>
4    </attribute_node>
4
4    <!--element name duplicated below, but mapped to a different col-->
4    <element_node name="Name"> 
4      <text_node>
4        <RDB_node>
4          <table name="order_tab" />
4          <column name="cust_name" type="char(20)" />
4        </RDB_node>
4      </text_node>
4    </element_node>
4  </element_node>
4    
4  <element_node name="Salesperson">
4    <!--attribute ID duplicated above, but mapped to a different col-->
4    <attribute_node name="ID">
4      <RDB_node>
4        <table name="order_tab" />
4        <column name="salesp_id" type="integer"/>
4      </RDB_node>
4    </attribute_node>
4          
4    <!--element name duplicated above, but mapped to a different col--> 
4    <element_node name="Name"> 
4      <text_node>
4        <RDB_node>
4          <table name="order_tab" />
4          <column name="salesp_name" type="char(20)" />
4        </RDB_node>
4      </text_node>
4    </element_node>
4  </element_node>
4    
4  <element_node name="OrderDetail" multi_occurrence="YES">
4    <element_node name="ItemNo">
4      <text_node>
4        <RDB_node>
4          <table name="detail_tab" />
4          <column name="itemno" type="char(9)"/>
4        </RDB_node>
4      </text_node>
4    </element_node>
4    <element_node name="Quantity">
4      <text_node>
4        <RDB_node>
4          <table name="detail_tab" />
4          <column name="quantity" type="integer"/>
4        </RDB_node>
4      </text_node>
4    </element_node>
4    <element_node name="UnitPrice">
4      <text_node>
4        <RDB_node>detail_tab" />
4          <table name="detail_tab" />        
4          <column name="unit_price" type="decimal(7,2)"/>
4        </RDB_node>
4      </text_node>
4    </element_node>
4  </element_node>
4</element_node>

The contents of the tables would look like the following 4sample after the preceding document is decomposed:

ORDER _TAB:
4
4ORDER_ID       CUST_ID       CUST_NAME       SALESP_ID       SALESP_NAME
40001-6789      1111          John Smith      1234            Jane Doe
4
4DETAIL_TAB:
4
4ORDER_ID          ITEMNO         QUANTITY          UNIT_PRICE
40001-6789         xxxx-xxxx      2                 12.50
40001-6789         yyyy-yyyy      4                 24.99