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 Groups

2. Rename a column:
   

   SELECT [ContentDetails_ItemType] AS MY_ContentDetails_ItemType FROM Groups

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

   SELECT CAST(Additive_Tax AS VARCHAR) AS Str_Additive_Tax FROM Groups

4. Search data:
   

   SELECT * FROM Groups WHERE Id = 'S'

5. The YouTube Analytics APIs support the following operators in the WHERE clause: =, AND.
   

   SELECT * FROM Groups WHERE Id = 'S';

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

   SELECT COUNT(*) AS MyCount FROM Groups 

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

   SELECT COUNT(DISTINCT ContentDetails_ItemType) FROM Groups 

8. Return the unique items matching the query criteria:
   

   SELECT DISTINCT ContentDetails_ItemType FROM Groups 

9. Summarize data:
   

   SELECT ContentDetails_ItemType, MAX(Additive_Tax) FROM Groups GROUP BY ContentDetails_ItemType

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

    SELECT Customers.ContactName, Orders.OrderDate FROM Customers, Orders WHERE Customers.CustomerId=Orders.CustomerId

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

    SELECT Snippet_Title, ContentDetails_ItemType FROM Groups  ORDER BY ContentDetails_ItemType ASC

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

    SELECT Snippet_Title, ContentDetails_ItemType FROM Groups LIMIT 10 

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

    SELECT * FROM Groups WHERE Id = @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 YouTube Analytics.

    SELECT * FROM Groups WHERE Pseudo = '@Pseudo'