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 Square adapter:

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> ] 
  } [ , ... ]
  [ 
    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> { = | < | > | IN } [ <expression> ]
    } [ { AND | OR } ... ]

Examples

1. Return all columns:
   

   SELECT * FROM Payments

2. Rename a column:
   

   SELECT "DeviceName" AS MY_DeviceName FROM Payments

3. Cast a column's data as a different data type:
   

   SELECT CAST(InclusiveTaxMoneyAmount AS VARCHAR) AS Str_InclusiveTaxMoneyAmount FROM Payments

4. Search data:
   

   SELECT * FROM Payments WHERE Id = 'Jq74mCczmFXk1tC10GB'

5. The Square APIs support the following operators in the WHERE clause: =, <, >, IN.
   

   SELECT * FROM Payments WHERE Id = 'Jq74mCczmFXk1tC10GB';

6. Return the number of items matching the query criteria:
   

   SELECT COUNT(*) AS MyCount FROM Payments 

7. Return the number of unique items matching the query criteria:
   

   SELECT COUNT(DISTINCT DeviceName) FROM Payments 

8. Return the unique items matching the query criteria:
   

   SELECT DISTINCT DeviceName FROM Payments 

9. Sort a result set in ascending order:
   

   SELECT Id, DeviceName FROM Payments  ORDER BY DeviceName 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.