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> 
    ]
  ] 
}

<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 Tags

2. Rename a column:
   

   SELECT [Color] AS MY_Color FROM Tags

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

   SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM Tags

4. Search data:
   

   SELECT * FROM Tags WHERE CustomerId = '1368175'

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

   SELECT COUNT(*) AS MyCount FROM Tags 

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

   SELECT COUNT(DISTINCT Color) FROM Tags 

7. Return the unique items matching the query criteria:
   

   SELECT DISTINCT Color FROM Tags 

8. Summarize data:
   

   SELECT Color, MAX(AnnualRevenue) FROM Tags GROUP BY Color

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

   SELECT CP.CarrierCode, CP.Code, CP.Name, CS.Domestic, CS.International, FROM CarrierPackages CP INNER JOIN CarrierServices CS ON CP.CarrierCode=CS.CarrierCode WHERE CP.CarrierCode='hermes'

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

    SELECT Id, Color FROM Tags  ORDER BY Color ASC

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

    SELECT Id, Color FROM Tags 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 Tags WHERE CustomerId = @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 ShipStation.

    SELECT * FROM Tags WHERE CustomerId = '1368175'