Survey Monkey
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 MySurvey_ResponsesRename a column:
SELECT [ChoiceId] AS MY_ChoiceId FROM MySurvey_ResponsesCast a column's data as a different data type:
SELECT CAST(Size AS VARCHAR) AS Str_Size FROM MySurvey_ResponsesSearch data:
SELECT * FROM MySurvey_Responses WHERE ChoiceText = 'blue'Return the number of items matching the query criteria:
SELECT COUNT(*) AS MyCount FROM MySurvey_ResponsesReturn the number of unique items matching the query criteria:
SELECT COUNT(DISTINCT ChoiceId) FROM MySurvey_ResponsesReturn the unique items matching the query criteria:
SELECT DISTINCT ChoiceId FROM MySurvey_ResponsesSummarize data:
SELECT ChoiceId, MAX(Size) FROM MySurvey_Responses GROUP BY ChoiceIdSee Aggregate Functions below for details.
Retrieve data from multiple tables.
SELECT MySurvey_Questions.QuestionFamily, MySurvey_Responses.ChoiceId FROM MySurvey_Questions, MySurvey_Responses WHERE MySurvey_Questions.QuestionId=MySurvey_Responses.QuestionIdSee JOIN Queries below for details.
Sort a result set in ascending order:
SELECT RespondentId, ChoiceId FROM MySurvey_Responses ORDER BY ChoiceId ASCRestrict a result set to the specified number of rows:
SELECT RespondentId, ChoiceId FROM MySurvey_Responses 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 MySurvey_Responses WHERE ChoiceText = @param
Aggregate Functions
COUNT
Returns the number of rows matching the query criteria.
SELECT COUNT(*) FROM MySurvey_Responses WHERE ChoiceText = 'blue'
COUNT(DISTINCT)
Returns the number of distinct, non-null field values matching the query criteria.
SELECT COUNT(DISTINCT RespondentId) AS DistinctValues FROM MySurvey_Responses WHERE ChoiceText = 'blue'
AVG
Returns the average of the column values.
SELECT ChoiceId, AVG(Size) FROM MySurvey_Responses WHERE ChoiceText = 'blue' GROUP BY ChoiceId
MIN
Returns the minimum column value.
SELECT MIN(Size), ChoiceId FROM MySurvey_Responses WHERE ChoiceText = 'blue' GROUP BY ChoiceId
MAX
Returns the maximum column value.
SELECT ChoiceId, MAX(Size) FROM MySurvey_Responses WHERE ChoiceText = 'blue' GROUP BY ChoiceId
SUM
Returns the total sum of the column values.
SELECT SUM(Size) FROM MySurvey_Responses WHERE ChoiceText = 'blue'
JOIN Queries
The Provider for SurveyMonkey 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 MySurvey_Questions.QuestionFamily, MySurvey_Responses.ChoiceId FROM MySurvey_Questions, MySurvey_Responses WHERE MySurvey_Questions.QuestionId=MySurvey_Responses.QuestionId
Left Join
A left join selects all rows in the FROM table and only matching rows in the JOIN table:
SELECT MySurvey_Questions.QuestionFamily, MySurvey_Responses.ChoiceId FROM MySurvey_Questions LEFT OUTER JOIN MySurvey_Responses ON MySurvey_Questions.QuestionId=MySurvey_Responses.QuestionId
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)
Last updated