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 driver:

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

1. Return all columns:
   

   SELECT * FROM Transactions

2. Rename a column:
   

   SELECT [TotalTax] AS MY_TotalTax FROM Transactions

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

   SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Transactions

4. Search data:
   

   SELECT * FROM Transactions WHERE Code = '051349'

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

   SELECT COUNT(*) AS MyCount FROM Transactions 

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

   SELECT COUNT(DISTINCT TotalTax) FROM Transactions 

7. Return the unique items matching the query criteria:
   

   SELECT DISTINCT TotalTax FROM Transactions 

8. Summarize data:
   

   SELECT TotalTax, MAX(AnnualRevenue) FROM Transactions GROUP BY TotalTax

   See Aggregate Functions for details.
9. Retrieve data from multiple tables.
   

   SELECT c.Date, o.ItemCode, o.IsItemTaxable, o.Description FROM Transactions c INNER JOIN TransactionLines o ON c.Id = o.TransactionId

   See JOIN Queries for details.
10. Sort a result set in ascending order:
    

    SELECT Id, TotalTax FROM Transactions  ORDER BY TotalTax ASC

11. Restrict a result set to the specified number of rows:
    

    SELECT Id, TotalTax FROM Transactions LIMIT 10 

12. Parameterize a query to pass in inputs at execution time. This enables you to create prepared statements and mitigate SQL injection attacks.
    

    SELECT * FROM Transactions WHERE Code = @param

See Explicitly Caching Data for information on using the SELECT statement in offline mode.

Pseudo Columns

Some input-only fields are available in SELECT statements. These fields, called pseudo columns, do not appear as regular columns in the results, yet may be specified as part of the WHERE clause. You can use pseudo columns to access additional features from Avalara.

    SELECT * FROM Transactions WHERE Pseudo = '@Pseudo'