A SELECT statement can consist of the following basic clauses.
SELECT
INTO
FROM
JOIN
WHERE
GROUP BY
HAVING
UNION
ORDER BY
LIMIT
The following syntax diagram outlines the syntax supported by the SQL engine of the provider:
Return all columns:
Rename a column:
Cast a column's data as a different data type:
Search data:
Return the number of items matching the query criteria:
Return the number of unique items matching the query criteria:
Return the unique items matching the query criteria:
Summarize data:
See Aggregate Functions below for details.
Retrieve data from multiple tables.
See JOIN Queries below for details.
Sort a result set in ascending order:
Restrict a result set to the specified number of rows:
Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
Returns the number of rows matching the query criteria.
Returns the number of distinct, non-null field values matching the query criteria.
Returns the average of the column values.
Returns the minimum column value.
Returns the maximum column value.
Returns the total sum of the column values.
The Provider for FedEx supports standard SQL joins like the following examples.
An inner join selects only rows from both tables that match the join condition:
A left join selects all rows in the FROM table and only matching rows in the JOIN table:
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.
The current day.
The previous day.
The following day.
Every day in the preceding week.
Every day in the current week.
Every day in the following week.
Also available:
LAST/THIS/NEXT MONTH
LAST/THIS/NEXT QUARTER
LAST/THIS/NEXT YEAR
The previous n days, excluding the current day.
The following n days, including the current day.
Also available:
LAST/NEXT_90_DAYS
Every day in every week, starting n weeks before current week, and ending in the previous week.
Every day in every week, starting the following week, and ending n weeks in the future.
Also available:
LAST/NEXT_N_MONTHS(n)
LAST/NEXT_N_QUARTERS(n)
LAST/NEXT_N_YEARS(n)
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 } ... ]
SELECT * FROM Senders
SELECT [Phone] AS MY_Phone FROM Senders
SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Senders
SELECT * FROM Senders WHERE SenderID = '25';
SELECT COUNT(*) AS MyCount FROM Senders
SELECT COUNT(DISTINCT Phone) FROM Senders
SELECT DISTINCT Phone FROM Senders
SELECT Phone, MAX(AnnualRevenue) FROM Senders GROUP BY Phone
SELECT p.ShipmentId, a.Email FROM Shipments p, Recipients a WHERE p.RecipientId = a.RecipientId
SELECT FirstName, Phone FROM Senders ORDER BY Phone ASC
SELECT FirstName, Phone FROM Senders LIMIT 10
SELECT * FROM Senders WHERE SenderID = @param
SELECT COUNT(*) FROM Senders WHERE SenderID = '25'
SELECT COUNT(DISTINCT FirstName) AS DistinctValues FROM Senders WHERE SenderID = '25'
SELECT Phone, AVG(AnnualRevenue) FROM Senders WHERE SenderID = '25' GROUP BY Phone
SELECT MIN(AnnualRevenue), Phone FROM Senders WHERE SenderID = '25' GROUP BY Phone
SELECT Phone, MAX(AnnualRevenue) FROM Senders WHERE SenderID = '25' GROUP BY Phone
SELECT SUM(AnnualRevenue) FROM Senders WHERE SenderID = '25'
SELECT p.ShipmentId, a.Email FROM Shipments p, Recipients a WHERE p.RecipientId = a.RecipientId
SELECT p.ShipmentId, a.Email FROM Recipients a LEFT JOIN Shipments p ON p.RecipientId = a.RecipientId
SELECT * FROM MyTable WHERE MyDateField = TODAY()
SELECT * FROM MyTable WHERE MyDateField = YESTERDAY()
SELECT * FROM MyTable WHERE MyDateField = TOMORROW()
SELECT * FROM MyTable WHERE MyDateField = LAST_WEEK()
SELECT * FROM MyTable WHERE MyDateField = THIS_WEEK()
SELECT * FROM MyTable WHERE MyDateField = NEXT_WEEK()
SELECT * FROM MyTable WHERE MyDateField = LAST_N_DAYS(3)
SELECT * FROM MyTable WHERE MyDateField = NEXT_N_DAYS(3)
SELECT * FROM MyTable WHERE MyDateField = LAST_N_WEEKS(3)
SELECT * FROM MyTable WHERE MyDateField = NEXT_N_WEEKS(3)