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 RecruitingCESites

2. Rename a column:
   

   SELECT [SiteName] AS MY_SiteName FROM RecruitingCESites

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

   SELECT CAST(AnnualRevenue AS VARCHAR) AS Str_AnnualRevenue FROM RecruitingCESites

4. Search data:
   

   SELECT * FROM RecruitingCESites WHERE SiteName = 'Bob'

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

   SELECT COUNT(*) AS MyCount FROM RecruitingCESites 

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

   SELECT COUNT(DISTINCT SiteName) FROM RecruitingCESites 

7. Return the unique items matching the query criteria:
   

   SELECT DISTINCT SiteName FROM RecruitingCESites 

8. Summarize data:
   

   SELECT SiteName, MAX(AnnualRevenue) FROM RecruitingCESites GROUP BY SiteName

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

   SELECT c.SiteName, o.FontName, o.CustomFontId, o.FontNumber FROM RecruitingCESites c INNER JOIN RecruitingCESitescustomFonts o ON c.siteId = o.RecruitingCESitesSiteId

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

    SELECT SiteId, SiteName FROM RecruitingCESites  ORDER BY SiteName ASC

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

    SELECT SiteId, SiteName FROM RecruitingCESites 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 RecruitingCESites WHERE SiteName = @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 Oracle HCM Cloud.

    SELECT * FROM RecruitingCESites WHERE Query = 'Column3 > 100'