Youtube 2020

SELECT Statements

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 provider:

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 Videos

2. Rename a column:

   SELECT [ViewCount] AS MY_ViewCount FROM Videos

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

   SELECT CAST(ViewCount AS VARCHAR) AS Str_ViewCount FROM Videos

4. Search data:

   SELECT * FROM Videos WHERE Id = 'MyId';

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

   SELECT COUNT(*) AS MyCount FROM Videos

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

   SELECT COUNT(DISTINCT ViewCount) FROM Videos

7. Return the unique items matching the query criteria:

   SELECT DISTINCT ViewCount FROM Videos

8. Summarize data:

   SELECT ViewCount, MAX(ViewCount) FROM Videos GROUP BY ViewCount

   See Aggregate Functions below for details.

9. Retrieve data from multiple tables.

   SELECT Channels.Title, Playlists.Title FROM Channels, Playlists WHERE Channels.Id = Playlists.ChannelId

   See JOIN Queries below for details.

10. Sort a result set in ascending order:

    SELECT Id, ViewCount FROM Videos ORDER BY ViewCount ASC

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

    SELECT Id, ViewCount FROM Videos 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 Videos WHERE Id = @param

Aggregate Functions

COUNT

Returns the number of rows matching the query criteria.

SELECT COUNT(*) FROM Videos WHERE Id = 'MyId'

COUNT(DISTINCT)

Returns the number of distinct, non-null field values matching the query criteria.

SELECT COUNT(DISTINCT Id) AS DistinctValues FROM Videos WHERE Id = 'MyId'

AVG

Returns the average of the column values.

SELECT ViewCount, AVG(ViewCount) FROM Videos WHERE Id = 'MyId' GROUP BY ViewCount

MIN

Returns the minimum column value.

SELECT MIN(ViewCount), ViewCount FROM Videos WHERE Id = 'MyId' GROUP BY ViewCount

MAX

Returns the maximum column value.

SELECT ViewCount, MAX(ViewCount) FROM Videos WHERE Id = 'MyId' GROUP BY ViewCount

SUM

Returns the total sum of the column values.

SELECT SUM(ViewCount) FROM Videos WHERE Id = 'MyId'

JOIN Queries

The Provider for YouTube 2020 supports standard SQL joins like the following examples.

Inner Join

An inner join selects only rows from both tables that match the join condition:

SELECT Channels.Title, Playlists.Title FROM Channels, Playlists WHERE Channels.Id = Playlists.ChannelId

Left Join

A left join selects all rows in the FROM table and only matching rows in the JOIN table:

SELECT Channels.Title, Playlists.Title FROM Channels LEFT OUTER JOIN Playlists ON Channels.Id = Playlists.ChannelId

Date Literal Functions

The following date literal functions can be used to filter date fields using relative intervals. Note that while the <, >, and = operators are supported for these functions, <= and >= are not.

TODAY()

The current day.

SELECT * FROM MyTable WHERE MyDateField = TODAY()

YESTERDAY()

The previous day.

SELECT * FROM MyTable WHERE MyDateField = YESTERDAY()

TOMORROW()

The following day.

SELECT * FROM MyTable WHERE MyDateField = TOMORROW()

LAST_WEEK()

Every day in the preceding week.

SELECT * FROM MyTable WHERE MyDateField = LAST_WEEK()

THIS_WEEK()

Every day in the current week.

SELECT * FROM MyTable WHERE MyDateField = THIS_WEEK()

NEXT_WEEK()

Every day in the following week.

SELECT * FROM MyTable WHERE MyDateField = NEXT_WEEK()

Also available:

• LAST/THIS/NEXT MONTH

• LAST/THIS/NEXT QUARTER

• LAST/THIS/NEXT YEAR

LAST_N_DAYS(n)

The previous n days, excluding the current day.

SELECT * FROM MyTable WHERE MyDateField = LAST_N_DAYS(3)

NEXT_N_DAYS(n)

The following n days, including the current day.

SELECT * FROM MyTable WHERE MyDateField = NEXT_N_DAYS(3)

Also available:

• LAST/NEXT_90_DAYS

LAST_N_WEEKS(n)

Every day in every week, starting n weeks before current week, and ending in the previous week.

SELECT * FROM MyTable WHERE MyDateField = LAST_N_WEEKS(3)

NEXT_N_WEEKS(n)

Every day in every week, starting the following week, and ending n weeks in the future.

SELECT * FROM MyTable WHERE MyDateField = NEXT_N_WEEKS(3)

Also available:

• LAST/NEXT_N_MONTHS(n)

• LAST/NEXT_N_QUARTERS(n)

• LAST/NEXT_N_YEARS(n)