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 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> ] 
  } [ , ... ]
  [ [ 
      INNER 
    ] 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> 
    ]
  ] 
}

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

Examples

Return all columns:
```
SELECT * FROM ProductCategory
```

Rename a column:

SELECT "CategoryName" AS MY_CategoryName FROM ProductCategory

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

SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM ProductCategory

Search data:

SELECT * FROM ProductCategory WHERE CategoryOwner = 'Bob'

The APIs support the following operators in the WHERE clause: =, <, <=, >, >=, <>, !=, OR, AND.
```
SELECT * FROM ProductCategory WHERE CategoryOwner = 'Bob';
```
Return the number of items matching the query criteria:
```
SELECT COUNT(*) AS MyCount FROM ProductCategory 
```
Return the number of unique items matching the query criteria:
```
SELECT COUNT(DISTINCT CategoryName) FROM ProductCategory 
```
Return the unique items matching the query criteria:
```
SELECT DISTINCT CategoryName FROM ProductCategory 
```

Sort a result set in ascending order:

SELECT CategoryId, CategoryName FROM ProductCategory  ORDER BY CategoryName 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