Slack
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 Channels
Rename a column:
SELECT [Name] AS MY_Name FROM Channels
Cast a column's data as a different data type:
SELECT CAST(TotalMembers AS VARCHAR) AS Str_TotalMembers FROM Channels
Search data:
SELECT * FROM Channels WHERE IsPublic = 'True'
Return the number of items matching the query criteria:
SELECT COUNT(*) AS MyCount FROM Channels
Return the number of unique items matching the query criteria:
SELECT COUNT(DISTINCT Name) FROM Channels
Return the unique items matching the query criteria:
SELECT DISTINCT Name FROM Channels
Summarize data:
SELECT Name, MAX(TotalMembers) FROM Channels GROUP BY Name
See Aggregate Functions below for details.
Retrieve data from multiple tables.
SELECT Channels.Name, Users.FullName FROM Channels, Users WHERE Channels.Creator=Users.Id
See JOIN Queries below for details.
Sort a result set in ascending order:
SELECT Id, Name FROM Channels ORDER BY Name ASC
Restrict a result set to the specified number of rows:
SELECT Id, Name FROM Channels LIMIT 10
Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
SELECT * FROM Channels WHERE IsPublic = @param
Aggregate Functions
COUNT
Returns the number of rows matching the query criteria.
SELECT COUNT(*) FROM Channels WHERE IsPublic = 'True'
COUNT(DISTINCT)
Returns the number of distinct, non-null field values matching the query criteria.
SELECT COUNT(DISTINCT Id) AS DistinctValues FROM Channels WHERE IsPublic = 'True'
AVG
Returns the average of the column values.
SELECT Name, AVG(TotalMembers) FROM Channels WHERE IsPublic = 'True'
GROUP BY Name
MIN
Returns the minimum column value.
SELECT MIN(TotalMembers), Name FROM Channels WHERE IsPublic = 'True'
GROUP BY Name
MAX
Returns the maximum column value.
SELECT Name, MAX(TotalMembers) FROM Channels WHERE IsPublic = 'True'
GROUP BY Name
SUM
Returns the total sum of the column values.
SELECT SUM(TotalMembers) FROM Channels WHERE IsPublic = 'True'
JOIN Queries
The Provider for Slack 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 Channels.Name, Users.FullName FROM Channels, Users WHERE Channels.Creator=Users.Id
Left Join
A left join selects all rows in the FROM table and only matching rows in the JOIN table:
SELECT Channels.Name, Users.FullName FROM Channels LEFT OUTER JOIN Users ON Channels.Creator=Users.Id
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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