Raisers Edge NXT
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
Return all columns:
SELECT * FROM ConstituentsRename a column:
SELECT [AddressLines] AS MY_AddressLines FROM ConstituentsCast a column's data as a different data type:
SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM ConstituentsSearch data:
SELECT * FROM Constituents WHERE Type = 'Home'Return the number of items matching the query criteria:
SELECT COUNT(*) AS MyCount FROM ConstituentsReturn the number of unique items matching the query criteria:
SELECT COUNT(DISTINCT AddressLines) FROM ConstituentsReturn the unique items matching the query criteria:
SELECT DISTINCT AddressLines FROM ConstituentsSummarize data:
SELECT AddressLines, MAX(AnnualRevenue) FROM Constituents GROUP BY AddressLinesSee Aggregate Functions below for details.
Retrieve data from multiple tables.
SELECT c.Category, c.Fundraisers, c.Summary, o.Name, o.PhoneDoNotCall FROM Actions c INNER JOIN Constituents o ON c.ConstituentId = o.IdSee JOIN Queries below for details.
Sort a result set in ascending order:
SELECT Id, AddressLines FROM Constituents ORDER BY AddressLines ASCRestrict a result set to the specified number of rows:
SELECT Id, AddressLines FROM Constituents LIMIT 10Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
SELECT * FROM Constituents WHERE Type = @param
Aggregate Functions
COUNT
Returns the number of rows matching the query criteria.
SELECT COUNT(*) FROM Constituents WHERE Type = 'Home'
COUNT(DISTINCT)
Returns the number of distinct, non-null field values matching the query criteria.
SELECT COUNT(DISTINCT Id) AS DistinctValues FROM Constituents WHERE Type = 'Home'
AVG
Returns the average of the column values.
SELECT AddressLines, AVG(AnnualRevenue) FROM Constituents WHERE Type = 'Home' GROUP BY AddressLines
MIN
Returns the minimum column value.
SELECT MIN(AnnualRevenue), AddressLines FROM Constituents WHERE Type = 'Home' GROUP BY AddressLines
MAX
Returns the maximum column value.
SELECT AddressLines, MAX(AnnualRevenue) FROM Constituents WHERE Type = 'Home' GROUP BY AddressLines
SUM
Returns the total sum of the column values.
SELECT SUM(AnnualRevenue) FROM Constituents WHERE Type = 'Home'
JOIN Queries
The Provider for Blackbaud Raisers Edge NXT 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 c.Category, c.Fundraisers, c.Summary, o.Name, o.PhoneDoNotCall FROM Actions c INNER JOIN Constituents o ON c.ConstituentId = o.Id
Left Join
A left join selects all rows in the FROM table and only matching rows in the JOIN table:
SELECT c.GiftStatus, o.CheckNumber, o.CheckoutTransactionId, o.PaymentMethod FROM Gifts c LEFT JOIN GiftPayments o ON c.Id = o.GiftsId
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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