Developer Tool Guide

10.4.0
- 10.5.6
- 10.5.3
- 10.5.2
- 10.5.1
- 10.5
- 10.4.1

Back Next

Left Outer Join Syntax

You can create a left outer join with a join override. You can enter multiple left outer joins in a single join override. When using left outer joins with other joins, list all left outer joins together, after any normal joins in the statement.

To create a left outer join, use the following syntax:

{ source1 LEFT OUTER JOIN source2 on join_condition }

The following tables displays syntax for left outer joins in a join override:

Syntax	Description
source1	Source resource name. With a left outer join, the Data Integration Service returns all rows in this resource.
source2	Source resource name. The Data Integration Service returns rows from this resource that match the join condition.
join_condition	Condition for the join. Use syntax supported by the source database. You can combine multiple join conditions with the AND operator.

For example, using the same REG_CUSTOMER and PURCHASES tables described in Normal Join Syntax, you can determine how many customers bought something in June with the following join override:

{ REG_CUSTOMER LEFT OUTER JOIN PURCHASES on REG_CUSTOMER.CUST_ID = PURCHASES.CUST_ID }

The Data Integration Service returns the following data:

CUST_ID	FIRST_NAME	LAST_NAME	DATE	AMOUNT
00001	Marvin	Chi	6/10/2000	255.56
00002	Dinah	Jones	6/3/2000	55.79
00003	John	Bowden	NULL	NULL
00004	J.	Marks	6/15/2000	534.95
00002	Dinah	Jones	6/10/2000	104.45
00002	Dinah	Jones	6/21/2000	98.65

The Data Integration Service returns all registered customers in the REG_CUSTOMERS table, using null values for the customer who made no purchases in June. It does not include purchases made by non-registered customers.

Use multiple join conditions to determine how many registered customers spent more than $100.00 in a single purchase in June:

{REG_CUSTOMER LEFT OUTER JOIN PURCHASES on (REG_CUSTOMER.CUST_ID = PURCHASES.CUST_ID AND PURCHASES.AMOUNT > 100.00) }

The Data Integration Service returns the following data:

CUST_ID	FIRST_NAME	LAST_NAME	DATE	AMOUNT
00001	Marvin	Chi	6/10/2000	255.56
00002	Dinah	Jones	6/10/2000	104.45
00003	John	Bowden	NULL	NULL
00004	J.	Marks	6/15/2000	534.95

You might use multiple left outer joins if you want to incorporate information about returns during the same time period. For example, the RETURNS table contains the following data:

CUST_ID	CUST_ID	RETURN
00002	6/10/2000	55.79
00002	6/21/2000	104.45

To determine how many customers made purchases and returns for the month of June, use two left outer joins:

{ REG_CUSTOMER LEFT OUTER JOIN PURCHASES on REG_CUSTOMER.CUST_ID = PURCHASES.CUST_ID LEFT OUTER JOIN RETURNS on REG_CUSTOMER.CUST_ID = PURCHASES.CUST_ID }

The Data Integration Service returns the following data:

CUST_ID	FIRST_NAME	LAST_NAME	DATE	AMOUNT	RET_DATE	RETURN
00001	Marvin	Chi	6/10/2000	255.56	NULL	NULL
00002	Dinah	Jones	6/3/2000	55.79	NULL	NULL
00003	John	Bowden	NULL	NULL	NULL	NULL
00004	J.	Marks	6/15/2000	534.95	NULL	NULL
00002	Dinah	Jones	6/10/2000	104.45	NULL	NULL
00002	Dinah	Jones	6/21/2000	98.65	NULL	NULL
00002	Dinah	Jones	NULL	NULL	6/10/2000	55.79
00002	Dinah	Jones	NULL	NULL	6/21/2000	104.45

Rename Saved Search

Table of Contents

Developer Tool Guide

Developer Tool Guide

Left Outer Join Syntax

Left Outer Join Syntax