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 CompanyStatusUpdates

2. Rename a column:
   

   SELECT [Comment] AS MY_Comment FROM CompanyStatusUpdates

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

   SELECT CAST(Size AS VARCHAR) AS Str_Size FROM CompanyStatusUpdates

4. Search data:
   

   SELECT * FROM CompanyStatusUpdates WHERE EntityId = '238'

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

   SELECT COUNT(*) AS MyCount FROM CompanyStatusUpdates 

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

   SELECT COUNT(DISTINCT Comment) FROM CompanyStatusUpdates 

7. Return the unique items matching the query criteria:
   

   SELECT DISTINCT Comment FROM CompanyStatusUpdates 

8. Summarize data:
   

   SELECT Comment, MAX(Size) FROM CompanyStatusUpdates GROUP BY Comment

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

   SELECT CompanyList.Name, Comments.ContractNumber FROM CompanyList, Comments WHERE CompanyList.Id=Comments.CompanyId

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

    SELECT VisibilityCode, Comment FROM CompanyStatusUpdates  ORDER BY Comment ASC

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

    SELECT VisibilityCode, Comment FROM CompanyStatusUpdates 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 CompanyStatusUpdates WHERE EntityId = @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 LinkedIn.

    SELECT * FROM CompanyStatusUpdates WHERE Pseudo = '@Pseudo'