TDV Adapter for Microsoft Teams

Build 24.0.9060

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 Microsoft Teams adapter:

SELECT {
  [ TOP <numeric_literal> | DISTINCT ]
  { 
    * 
    | { 
        <expression> [ [ AS ] <column_reference> ] 
        | { <table_name> | <correlation_name> } .* 
      } [ , ... ] 
  }
  { 
    FROM <table_reference> [ [ AS ] <identifier> ] 
  } [ , ... ]
  [ 
    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 | IN | IS NULL | IS NOT NULL | AND } [ <expression> ]
    } [ { AND | OR } ... ]

Examples

  1. Return all columns:
    SELECT * FROM Teams
  2. Rename a column:
    SELECT "location_displayName" AS MY_location_displayName FROM Teams
  3. Cast a column's data as a different data type:
    SELECT CAST(Reminder AS VARCHAR) AS Str_Reminder FROM Teams
  4. Search data:
    SELECT * FROM Teams WHERE Id = 'Jq74mCczmFXk1tC10GB'
  5. The Microsoft Teams APIs support the following operators in the WHERE clause: =, >=, <=, !=, LIKE, IN, IS NULL, IS NOT NULL, AND.
    SELECT * FROM Teams WHERE Id = 'Jq74mCczmFXk1tC10GB';
  6. Return the number of items matching the query criteria:
    SELECT COUNT(*) AS MyCount FROM Teams 
  7. Return the number of unique items matching the query criteria:
    SELECT COUNT(DISTINCT location_displayName) FROM Teams 
  8. Return the unique items matching the query criteria:
    SELECT DISTINCT location_displayName FROM Teams 
  9. Sort a result set in ascending order:
    SELECT subject, location_displayName FROM Teams  ORDER BY location_displayName ASC

Aggregate Functions

For SELECT examples using aggregate functions, see Aggregate Functions.

JOIN Queries

See JOIN Queries for SELECT query examples using JOINs.

Date Literal Functions

Date Literal Functions contains SELECT examples with date literal functions.

Window Functions

See Window Functions for SELECT examples containing window functions.

Table-Valued Functions

See Table-Valued Functions for SELECT examples with table-valued functions.

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Build 24.0.9060