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 Snowflake 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> { = | > | < | >= | <= | <> | != | AND | OR | LIKE | NOT LIKE | IN | NOT IN | IS NULL | IS NOT NULL | ANY | ALL | EXISTS | NOT EXISTS | + | - | * | / | % | || | -(negate) } [ <expression> ]
    } [ { AND | OR } ... ]

Examples

1. Return all columns:
   

   SELECT * FROM [DemoDB].[PUBLIC].Products

2. Rename a column:
   

   SELECT "ProductName" AS MY_ProductName FROM [DemoDB].[PUBLIC].Products

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

   SELECT CAST(Price AS VARCHAR) AS Str_Price FROM [DemoDB].[PUBLIC].Products

4. Search data:
   

   SELECT * FROM [DemoDB].[PUBLIC].Products WHERE ProductName = 'Konbu'

5. The Snowflake APIs support the following operators in the WHERE clause: =, >, <, >=, <=, <>, !=, AND, OR, LIKE, NOT LIKE, IN, NOT IN, IS NULL, IS NOT NULL, ANY, ALL, EXISTS, NOT EXISTS, +, -, *, /, %, ||, -(negate).
   

   SELECT * FROM [DemoDB].[PUBLIC].Products WHERE ProductName = 'Konbu';

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

   SELECT COUNT(*) AS MyCount FROM [DemoDB].[PUBLIC].Products 

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

   SELECT COUNT(DISTINCT ProductName) FROM [DemoDB].[PUBLIC].Products 

8. Return the unique items matching the query criteria:
   

   SELECT DISTINCT ProductName FROM [DemoDB].[PUBLIC].Products 

9. Sort a result set in ascending order:
   

   SELECT Id, ProductName FROM [DemoDB].[PUBLIC].Products  ORDER BY ProductName 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.

Projection Functions

See Projection Functions for SELECT examples with projection functions.

Predicate Functions

For SELECT examples using predicate functions, see Predicate Functions.