书籍表 Books：
+----------------+---------+ | Column Name | Type | +----------------+---------+ | book_id | int | | name | varchar | | available_from | date | +----------------+---------+ book_id 是这个表的主键。
订单表 Orders：
+----------------+---------+ | Column Name | Type | +----------------+---------+ | order_id | int | | book_id | int | | quantity | int | | dispatch_date | date | +----------------+---------+ order_id 是这个表的主键。 book_id 是 Books 表的外键。
你需要写一段 SQL 命令，筛选出过去一年中订单总量 少于10本 的 书籍 。
注意：不考虑 上架（available from）距今 不满一个月 的书籍。并且 假设今天是 2019-06-23 。
下面是样例输出结果：
Books 表： +---------+--------------------+----------------+ | book_id | name | available_from | +---------+--------------------+----------------+ | 1 | "Kalila And Demna" | 2010-01-01 | | 2 | "28 Letters" | 2012-05-12 | | 3 | "The Hobbit" | 2019-06-10 | | 4 | "13 Reasons Why" | 2019-06-01 | | 5 | "The Hunger Games" | 2008-09-21 | +---------+--------------------+----------------+ Orders 表： +----------+---------+----------+---------------+ | order_id | book_id | quantity | dispatch_date | +----------+---------+----------+---------------+ | 1 | 1 | 2 | 2018-07-26 | | 2 | 1 | 1 | 2018-11-05 | | 3 | 3 | 8 | 2019-06-11 | | 4 | 4 | 6 | 2019-06-05 | | 5 | 4 | 5 | 2019-06-20 | | 6 | 5 | 9 | 2009-02-02 | | 7 | 5 | 8 | 2010-04-13 | +----------+---------+----------+---------------+ Result 表： +-----------+--------------------+ | book_id | name | +-----------+--------------------+ | 1 | "Kalila And Demna" | | 2 | "28 Letters" | | 5 | "The Hunger Games" | +-----------+--------------------+