Calculating three differents sum in three tables - mysql

Question

I have these tables:
DROP TABLE IF EXISTS books;
CREATE TABLE `books` (
`bookId` mediumint(8) UNSIGNED NOT NULL,
`title` varchar(10) NOT NULL,
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
ALTER TABLE `books`
ADD PRIMARY KEY (`bookId`),
DROP TABLE IF EXISTS movements;
CREATE TABLE `movements` (
`movementId` mediumint(8) UNSIGNED NOT NULL,
`movementTypeId` tinyint(3) UNSIGNED NOT NULL,
`deletedFlag` tinyint(3) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
ALTER TABLE `movements`
ADD PRIMARY KEY (`movementId`),
ADD KEY `movementId` (`movementTypeId`,`deletedFlag`) USING BTREE;
DROP TABLE IF EXISTS movements_types;
CREATE TABLE `movements_types` (
`movementTypeId` mediumint(8) UNSIGNED NOT NULL,
`title` varchar(200) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
ALTER TABLE `movements_types`
ADD PRIMARY KEY (`movementTypeId`);
DROP TABLE IF EXISTS movements_books;
CREATE TABLE `movements_books` (
`movementId` mediumint(8) UNSIGNED NOT NULL,
`bookId` mediumint(8) UNSIGNED NOT NULL,
`bookSize` tinyint(3) UNSIGNED NOT NULL,
`quantity` smallint(5) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
INSERT INTO `books` (`bookId`, `title`) VALUES
(1, 'Harry Potter'),
(2, 'Mysql Join'),
(3, 'Comedy');
INSERT INTO `movements` (`movementId`, `movementTypeId`, `deletedFlag`) VALUES
(7, 1, 0),
(8, 2, 0),
(9, 2, 0);
INSERT INTO `movements_types` (`movementTypeId`, `title`) VALUES
(1, "Bought"),
(2, "Sold");
INSERT INTO `movements_books` (`movementId`, `bookId`, `bookSize`, `quantity`) VALUES
(7, 1, 1, 3),
(7, 1, 2, 3),
(7, 2, 1, 3),
(7, 2, 2, 3),
(8, 1, 1, 2),
(8, 1, 1, 2),
(9, 2, 1, 3);
bookSize is just an integer indicating the size of the book.
movements_books actually has 111824 records, movements has 4534.
deletedFlag is 1 for a deleted movement (I prefer to keep them flagged) and 0 otherwise.
I need help creating indexes and I need these results:
1) sizes sold/bought/available for each book (bookId, bookSize, booksSold, booksBought, booksBought minus booksSold)
2) books sold/bought/available for each book of all size (bookId, booksSold, booksBought, booksBought minus booksSold)
To get the one of the statistics I tried:
SELECT
books.title
movements_books_grouped.bookId,
SUM(IF(movements.movementTypeId=1, movements_books_grouped.quantity, NULL)) AS booksBought,
SUM(IF(movements.movementTypeId=2, movements_books_grouped.quantity, NULL)) AS booksSold,
(
SUM(IF(movements.movementTypeId=1, movements_books_grouped.quantity, 0))-
SUM(IF(movements.movementTypeId=2, movements_books_grouped.quantity, 0))
) AS booksAvailability,
FROM
(
SELECT bookId,quantity,movementId FROM movements_books GROUP BY bookId
) AS movements_books_grouped
JOIN movements ON movements.movementId=movements_books_grouped.movementId
JOIN books ON books.bookId=movements_books_grouped.bookId
GROUP BY movements_books_grouped.bookId
ORDER BY book.title
but it's very slow.
Edit: I needed to add another table to the example because that's the one that makes really slow the last query. I need to join to this table because I need to order the result by title.

Answer 1

Here's a query that can use indexes:
SELECT m.movementId
, m.movementTypeId
, m.deletedFlag
, mb.bookId
, mb.bookSize
, t.title
FROM movements m
JOIN movements_types t
ON t.movementTypeId = m.movementTypeId
JOIN movements_books mb
ON mb.movementid = m.movementid
WHERE m.deletedFlag=0;
An index on (m.movementTypeId, m.deletedFlag) may prove beneficial, but best to suck it and see.