Oracle Eloqua

SELECT Statements

A SELECT statement can consist of the following basic clauses.

  • SELECT

  • INTO

  • FROM

  • JOIN

  • WHERE

  • GROUP BY

  • HAVING

  • UNION

  • ORDER BY

  • LIMIT

SELECT Syntax

The following syntax diagram outlines the syntax supported by the SQL engine of the provider:

SELECT {

[ TOP <numeric_literal> | DISTINCT ]

{

*

| {

<expression> [ [ AS ] <column_reference> ]

| { <table_name> | <correlation_name> } .*

} [ , ... ]

}

[ INTO csv:// [ filename= ] <file_path> [ ;delimiter=tab ] ]

{

FROM <table_reference> [ [ AS ] <identifier> ]

} [ , ... ]

[ [

INNER | { { LEFT | RIGHT | FULL } [ OUTER ] }

] JOIN <table_reference> [ ON <search_condition> ] [ [ AS ] <identifier> ]

] [ ... ]

[ WHERE <search_condition> ]

[ GROUP BY <column_reference> [ , ... ]

[ HAVING <search_condition> ]

[ UNION [ ALL ] <select_statement> ]

[

ORDER BY

<column_reference> [ ASC | DESC ] [ NULLS FIRST | NULLS LAST ]

]

[

LIMIT <expression>

[

{ OFFSET | , }

<expression>

]

]

} | SCOPE_IDENTITY()

<expression> ::=

| <column_reference>

| @ <parameter>

| ?

| COUNT( * | { [ DISTINCT ] <expression> } )

| { AVG | MAX | MIN | SUM | COUNT } ( <expression> )

| NULLIF ( <expression> , <expression> )

| COALESCE ( <expression> , ... )

| CASE <expression>

WHEN { <expression> | <search_condition> } THEN { <expression> | NULL } [ ... ]

[ ELSE { <expression> | NULL } ]

END

| <literal>

| <sql_function>

<search_condition> ::=

{

<expression> { = | > | < | >= | <= | <> | != | LIKE | NOT LIKE | IN | NOT IN | IS NULL | IS NOT NULL | AND | OR | CONTAINS | BETWEEN } [ <expression> ]

} [ { AND | OR } ... ]

Examples

  1. Return all columns:

    SELECT * FROM Contact

  2. Rename a column:

    SELECT [Name] AS MY_Name FROM Contact

  3. Cast a column's data as a different data type:

    SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Contact

  4. Search data:

    SELECT * FROM Contact WHERE Country = 'U.S.A.'

  5. Return the number of items matching the query criteria:

    SELECT COUNT(*) AS MyCount FROM Contact

  6. Return the number of unique items matching the query criteria:

    SELECT COUNT(DISTINCT Name) FROM Contact

  7. Return the unique items matching the query criteria:

    SELECT DISTINCT Name FROM Contact

  8. Summarize data:

    SELECT Name, MAX(AnnualRevenue) FROM Contact GROUP BY Name

    See Aggregate Functions below for details.

  9. Retrieve data from multiple tables.

    SELECT Contact.Name, Activity_EmailClickThrough.CreatedAt FROM Contact, Activity_EmailClickThrough WHERE Contact.ID=Activity_EmailClickThrough.ContactID

    See JOIN Queries below for details.

  10. Sort a result set in ascending order:

    SELECT SalesPerson, Name FROM Contact ORDER BY Name ASC

  11. Restrict a result set to the specified number of rows:

    SELECT SalesPerson, Name FROM Contact LIMIT 10

  12. Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.

    SELECT * FROM Contact WHERE Country = @param

Aggregate Functions

COUNT

Returns the number of rows matching the query criteria.

SELECT COUNT(*) FROM Contact WHERE Country = 'U.S.A.'

COUNT(DISTINCT)

Returns the number of distinct, non-null field values matching the query criteria.

SELECT COUNT(DISTINCT SalesPerson) AS DistinctValues FROM Contact WHERE Country = 'U.S.A.'

AVG

Returns the average of the column values.

SELECT Name, AVG(AnnualRevenue) FROM Contact WHERE Country = 'U.S.A.' GROUP BY Name

MIN

Returns the minimum column value.

SELECT MIN(AnnualRevenue), Name FROM Contact WHERE Country = 'U.S.A.' GROUP BY Name

MAX

Returns the maximum column value.

SELECT Name, MAX(AnnualRevenue) FROM Contact WHERE Country = 'U.S.A.' GROUP BY Name

SUM

Returns the total sum of the column values.

SELECT SUM(AnnualRevenue) FROM Contact WHERE Country = 'U.S.A.'

JOIN Queries

The Provider for Oracle Eloqua supports standard SQL joins like the following examples.

Inner Join

An inner join selects only rows from both tables that match the join condition:

SELECT Contact.Name, Activity_EmailClickThrough.CreatedAt FROM Contact, Activity_EmailClickThrough WHERE Contact.ID=Activity_EmailClickThrough.ContactID

Left Join

A left join selects all rows in the FROM table and only matching rows in the JOIN table:

SELECT Contact.Name, Activity_EmailClickThrough.CreatedAt FROM Contact LEFT OUTER JOIN Orders ON Contact.ID=Activity_EmailClickThrough.ContactID

Date Literal Functions

The following date literal functions can be used to filter date fields using relative intervals. Note that while the <, >, and = operators are supported for these functions, <= and >= are not.

L_TODAY()

The current day.

SELECT * FROM MyTable WHERE MyDateField = L_TODAY()

L_YESTERDAY()

The previous day.

SELECT * FROM MyTable WHERE MyDateField = L_YESTERDAY()

L_TOMORROW()

The following day.

SELECT * FROM MyTable WHERE MyDateField = L_TOMORROW()

L_LAST_WEEK()

Every day in the preceding week.

SELECT * FROM MyTable WHERE MyDateField = L_LAST_WEEK()

L_THIS_WEEK()

Every day in the current week.

SELECT * FROM MyTable WHERE MyDateField = L_THIS_WEEK()

L_NEXT_WEEK()

Every day in the following week.

SELECT * FROM MyTable WHERE MyDateField = L_NEXT_WEEK()

Also available:

  • L_LAST/L_THIS/L_NEXT MONTH

  • L_LAST/L_THIS/L_NEXT QUARTER

  • L_LAST/L_THIS/L_NEXT YEAR

L_LAST_N_DAYS(n)

The previous n days, excluding the current day.

SELECT * FROM MyTable WHERE MyDateField = L_LAST_N_DAYS(3)

L_NEXT_N_DAYS(n)

The following n days, including the current day.

SELECT * FROM MyTable WHERE MyDateField = L_NEXT_N_DAYS(3)

Also available:

  • L_LAST/L_NEXT_90_DAYS

L_LAST_N_WEEKS(n)

Every day in every week, starting n weeks before current week, and ending in the previous week.

SELECT * FROM MyTable WHERE MyDateField = L_LAST_N_WEEKS(3)

L_NEXT_N_WEEKS(n)

Every day in every week, starting the following week, and ending n weeks in the future.

SELECT * FROM MyTable WHERE MyDateField = L_NEXT_N_WEEKS(3)

Also available:

  • L_LAST/L_NEXT_N_MONTHS(n)

  • L_LAST/L_NEXT_N_QUARTERS(n)

  • L_LAST/L_NEXT_N_YEARS(n)

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