Prevent MySQL from using temporary table when selecting from date ranges - mysql

I am trying to prevent mysql from creating a temporary table in this query
SELECT `vendor_id`,SUM(`qty`) AS `qty`
FROM `inventory_transactions`
WHERE `inventory_transactions`.`date`
BETWEEN '2018-10-21 00:00:00' AND '2018-10-22 23:59:59'
GROUP BY `vendor_id`
I've tried re-arranging the indexes, using SELECT DISTINCT, MIN(vendor_id),MAX(vendor_id), adding a COUNT(*) Column in an attempt to see if it would use the index to sort.
I've had ix(date,type,vendor_id) in every variation as well as individual indexes.
I just can't seem to figure out why mysql keeps trying to sort from a temporary table, the only way it doesn't use a temp table is if i group by the date column, which is not what I want.
Anyone have any insight as to how to fix it?
Table Schema
CREATE TABLE `transactions` (
`id` int(11) NOT NULL,
`vendor_id` int(11) DEFAULT NULL,
`type` varchar(50) DEFAULT NULL,
`unit_cost` decimal(10,2) NOT NULL,
`qty` decimal(11,2) DEFAULT NULL,
`location_id` int(11) NOT NULL,
`date` timestamp NOT NULL,
PRIMARY KEY (`id`),
KEY `location_id` (`location_id`),
KEY `type` (`type`),
KEY `vendor_id` (`vendor_id`) USING BTREE,
KEY `date` (`date`,`vendor_id`,`type`) USING BTREE,
CONSTRAINT `transactions_ibfk_1` FOREIGN KEY (`location_id`) REFERENCES `locations` (`id`),
CONSTRAINT `transactions_ibfk_3` FOREIGN KEY (`vendor_id`) REFERENCES `vendors` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1
EXPLAIN
+----+-------------+------------------------+------------+-------+----------------------+------------+---------+------+------+----------+-----------------------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+------------------------+------------+-------+----------------------+------------+---------+------+------+----------+-----------------------------------------------------------+
| 1 | SIMPLE | inventory_transactions | NULL | range | vendor_id,date | date | 4 | NULL | 1196 | 100.00 | Using where; Using index; Using temporary; Using filesort |
+----+-------------+------------------------+------------+-------+----------------------+------------+---------+------+------+----------+-----------------------------------------------------------+
1 row in set, 1 warning (0.00 sec)

Related

Slow MySQL order by datetime column

I have news table defined like this:
CREATE TABLE `news` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`creation_date` datetime DEFAULT NULL,
`modification_date` datetime DEFAULT NULL,
`active` bit(1) DEFAULT NULL,
`mark_for_delete` bit(1) DEFAULT NULL,
`verified` bit(1) DEFAULT NULL,
`bot_id` int(11) DEFAULT NULL,
`description` varchar(1000) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL,
`hash` varchar(100) NOT NULL,
`published_at` datetime DEFAULT NULL,
`source` varchar(255) DEFAULT NULL,
`title` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL,
`url` varchar(511) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `UK_1dmji5m90xaiy84vttgkvsub2` (`hash`),
KEY `index_news_source` (`source`),
KEY `index_news_creation_date` (`creation_date`)
) ENGINE=InnoDB AUTO_INCREMENT=30887718 DEFAULT CHARSET=latin1
And a join table to tag news belonging to some popular names:
CREATE TABLE `star_news` (
`stars_id` bigint(20) NOT NULL,
`news_id` bigint(20) NOT NULL,
PRIMARY KEY (`stars_id`,`news_id`),
KEY `FK4eqjn8at6h4d9335q1plxkcnl` (`news_id`),
CONSTRAINT `FK1olc51y8amp8op1kbmx269bac` FOREIGN KEY (`stars_id`) REFERENCES `star` (`id`),
CONSTRAINT `FK4eqjn8at6h4d9335q1plxkcnl` FOREIGN KEY (`news_id`) REFERENCES `news` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1
Here is my query to return the latest news
SELECT DISTINCT n.*
FROM news n
JOIN star_news sn
ON n.id = sn.news_id
WHERE sn.stars_id IN (1234, 12345)
ORDER BY n.creation_date DESC
LIMIT 2;
Explain:
+----+-------------+-------+------------+--------+-------------------------------------+---------+---------+-----------------------+------+----------+-----------------------------------------------------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+------------+--------+-------------------------------------+---------+---------+-----------------------+------+----------+-----------------------------------------------------------+
| 1 | SIMPLE | sn | NULL | range | PRIMARY,FK4eqjn8at6h4d9335q1plxkcnl | PRIMARY | 8 | NULL |196225| 100.00 | Using where; Using index; Using temporary; Using filesort |
| 1 | SIMPLE | n | NULL | eq_ref | PRIMARY | PRIMARY | 8 | cosmos_dev.sn.news_id | 1 | 100.00 | NULL |
+----+-------------+-------+------------+--------+-------------------------------------+---------+---------+-----------------------+------+----------+-----------------------------------------------------------+
This query takes 20 seconds on my machine. If I remove the order by clause it returns in sub milli second. How do I make the order by run faster?
I tried using force index on creation_date since its an indexed column, but it worsened the performance
First, write the query as:
SELECT n.*
FROM news n
WHERE EXISTS (SELECT 1
FROM star_news sn
WHERE n.id = sn.news_id AND
sn.stars_id IN (1234, 12345)
)
ORDER BY n.creation_date DESC
LIMIT 2 ;
This eliminates the outer SELECT DISTINCT, which should help.
Then, create an index on star_news(news_id, stars_id). This might also take advantage of an index on news(creation_date desc, id).
So you have 196k news articles relating to those 2 stars? The explain extra tells you what is happening:
Using where; Using index; Using temporary; Using filesort
MySQL is creating a temporary file and sorting it to satisfy the order by because it could not use an index that would facilitate the join AND the ordering of articles by date.

EXPLAIN Shows "DEPENDENT SUBQUERY" and very slow after migrating from MariaDB to MySQL

I was migrating from my old MariaDB 10.0 database to new Google Cloud Sql with Mysql 5.7 with mysqldump method. After migrating, i got some very slow query regarding with WHERE EXISTS statement.
I tried to EXPLAIN my query on both my old DB and new DB and it explained different result. Since it using dump, i am assuming that no changes with the table indexes. This is the query that i wanted to run
SELECT * FROM detitem
where exists (select 1 from detlayanan
where detitem.iddetlayanan = detlayanan.id
and detlayanan.layanan_idlayanan='LYN15176176101503')
the EXPLAIN from old DB
+------+-------------+------------+------+------------------------------------+----------------------------+---------+--------------------------------+-------+--------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+------+-------------+------------+------+------------------------------------+----------------------------+---------+--------------------------------+-------+--------------------------+
| 1 | PRIMARY | detlayanan | ref | PRIMARY,fk_detlayanan_layanan1_idx | fk_detlayanan_layanan1_idx | 22 | const | 11030 | Using where; Using index |
| 1 | PRIMARY | detitem | ref | FK_detitem_detlayanan | FK_detitem_detlayanan | 52 | citridia_sinadme.detlayanan.id | 1 | |
+------+-------------+------------+------+------------------------------------+----------------------------+---------+--------------------------------+-------+--------------------------+
and the EXPLAIN from new DB
+----+--------------------+------------+------------+--------+------------------------------------+---------+---------+---------------------------------------+---------+----------+-------------+
| id | select_type | table | partitions | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+--------------------+------------+------------+--------+------------------------------------+---------+---------+---------------------------------------+---------+----------+-------------+
| 1 | PRIMARY | detitem | NULL | ALL | NULL | NULL | NULL | NULL | 2079094 | 100.00 | Using where |
| 2 | DEPENDENT SUBQUERY | detlayanan | NULL | eq_ref | PRIMARY,fk_detlayanan_layanan1_idx | PRIMARY | 52 | citridia_sinadme.detitem.iddetlayanan | 1 | 5.00 | Using where |
+----+--------------------+------------+------------+--------+------------------------------------+---------+---------+---------------------------------------+---------+----------+-------------+
The new one is doing Full-table scan even there is index exist. Am i missing something here?
Here is the "detlayanan" table
CREATE TABLE `detlayanan` (
`transaksi_idtransaksi` varchar(40) NOT NULL,
`layanan_idlayanan` varchar(20) NOT NULL,
`nama_layanan` varchar(255) DEFAULT NULL,
`jumlah_beli` float DEFAULT NULL,
`id` varchar(50) NOT NULL,
`harga` decimal(20,2) DEFAULT '0.00',
`hargatotal` decimal(20,2) DEFAULT '0.00',
`luas_p` double(255,2) DEFAULT '0.00',
`luas_l` double(255,2) DEFAULT '0.00',
`luas_q` double(255,2) DEFAULT '0.00',
`keterangan` varchar(255) DEFAULT '',
`iddeposit` varchar(255) DEFAULT NULL,
`posisi` tinyint(4) DEFAULT '1',
`idworkshop` varchar(60) DEFAULT NULL,
`is_wsot` tinyint(4) DEFAULT '0',
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP,
`total_bersih` varchar(20) DEFAULT '0',
`total_min_order` decimal(20,2) DEFAULT '0.00',
`kondisi_barang` text,
PRIMARY KEY (`id`),
KEY `fk_detlayanan_layanan1_idx` (`layanan_idlayanan`),
KEY `fk_detlayanan_deposit` (`iddeposit`),
KEY `transaksi_idtransaksi` (`transaksi_idtransaksi`),
CONSTRAINT `detlayanan_ibfk_1` FOREIGN KEY (`transaksi_idtransaksi`) REFERENCES `transaksi` (`idtransaksi`),
CONSTRAINT `fk_detlayanan_layanan1` FOREIGN KEY (`layanan_idlayanan`) REFERENCES `layanan` (`idlayanan`) ON DELETE NO ACTION ON UPDATE NO ACTION
)
And here is the "detitem" table
CREATE TABLE `detitem` (
`item_iditem` varchar(20) NOT NULL,
`layanan_idlayanan` varchar(255) NOT NULL,
`jumlah_item` int(255) DEFAULT NULL,
`transaksi_idtransaksi` varchar(255) NOT NULL,
`id` varchar(50) NOT NULL,
`iddetlayanan` varchar(50) NOT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP,
`hapus` tinyint(4) DEFAULT '0',
PRIMARY KEY (`id`),
KEY `FK_detitem_item` (`item_iditem`),
KEY `FK_detitem_layanan` (`layanan_idlayanan`),
KEY `FK_detitem_transaksi` (`transaksi_idtransaksi`),
KEY `FK_detitem_detlayanan` (`iddetlayanan`),
CONSTRAINT `FK_detitem_detlayanan` FOREIGN KEY (`iddetlayanan`) REFERENCES `detlayanan` (`id`),
CONSTRAINT `FK_detitem_item` FOREIGN KEY (`item_iditem`) REFERENCES `item` (`iditem`),
CONSTRAINT `FK_detitem_layanan` FOREIGN KEY (`layanan_idlayanan`) REFERENCES `layanan` (`idlayanan`),
CONSTRAINT `FK_detitem_transaksi` FOREIGN KEY (`transaksi_idtransaksi`) REFERENCES `transaksi` (`idtransaksi`)
)
I expect the "rows" on explain stay small, in the old DB, "rows" stays at very low even in another table. but in the new DB it can shows up to million.
UPDATE
After some research, actually i must explicitly add some indexed column in the where statement to accompany EXISTS statement. so the query would be like this
SELECT * FROM detitem WHERE
<indexed column> in (<some id's>)
AND EXISTS ( SELECT 1 FROM detlayanan WHERE detitem.iddetlayanan =
detlayanan.id AND detlayanan.layanan_idlayanan = 'LYN15176176101503' )
apparently MySQL doing full scan on detitem table to check the subquery values is exists or not, when some indexed column are declared, sql does not need to did that. Also this case were found in MySQL.
some references:
https://mariadb.com/kb/en/library/exists-to-in-optimization/
This looks like a case where MariaDB's Optimizer is a step or two ahead of MySQL's.
See if this works well:
SELECT i.*
FROM ( SELECT id
FROM detlayanan
WHERE layanan_idlayanan = 'LYN15176176101503'
) AS x
JOIN detitem AS i ON x.id = i.iddetlayanan
I think it will work well in both servers.
Simpler yet:
SELECT i.*
FROM detlayanan AS lay
JOIN detitem AS i ON lay.id = i.iddetlayanan
WHERE lay.layanan_idlayanan = 'LYN15176176101503'

Why is MySQL query using join buffer?

The following query is using the join buffer and I was wondering if someone could explain to me why this is so. Just trying to gain more understanding about mysql and indexing.
mysql> EXPLAIN SELECT events.event_topic_id, event_topic_name, event_topic_image, event_type_name,city_name FROM events
-> JOIN event_topic ON event_topic.event_topic_id=events.event_topic_id
-> JOIN event_type ON event_type.event_type_id = event_topic.event_type_id
-> JOIN locations ON locations.location_id=events.location_id
-> JOIN city ON city.city_id=locations.city_id
-> WHERE event_date > NOW()
-> GROUP BY events.event_topic_id, city.city_id;
+----+-------------+-------------+--------+---------------------------------------+-----------------+---------+--------------------------------------+------+----------+----------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------------+--------+---------------------------------------+-----------------+---------+--------------------------------------+------+----------+----------------------------------------------+
| 1 | SIMPLE | city | index | PRIMARY | city_name | 52 | NULL | 6 | 100.00 | Using index; Using temporary; Using filesort |
| 1 | SIMPLE | locations | ref | PRIMARY,city_id | city_id | 1 | PremiumCONNECT.city.city_id | 1 | 100.00 | Using index |
| 1 | SIMPLE | events | ref | location_id,event_topic_id,event_date | location_id | 2 | PremiumCONNECT.locations.location_id | 3 | 100.00 | Using where |
| 1 | SIMPLE | event_type | index | PRIMARY | event_type_name | 52 | NULL | 2 | 100.00 | Using index; Using join buffer |
| 1 | SIMPLE | event_topic | eq_ref | PRIMARY,event_type_id | PRIMARY | 1 | PremiumCONNECT.events.event_topic_id | 1 | 100.00 | Using where |
+----+-------------+-------------+--------+---------------------------------------+-----------------+---------+--------------------------------------+------+----------+----------------------------------------------+
Events table:
CREATE TABLE `events` (
`event_id` smallint(8) unsigned NOT NULL AUTO_INCREMENT,
`location_id` smallint(3) unsigned NOT NULL,
`event_date` datetime NOT NULL,
`event_topic_id` tinyint(3) unsigned NOT NULL,
PRIMARY KEY (`event_id`),
KEY `location_id` (`location_id`),
KEY `event_topic_id` (`event_topic_id`),
KEY `event_date` (`event_date`),
CONSTRAINT `events_ibfk_2` FOREIGN KEY (`event_topic_id`) REFERENCES `event_topic` (`event_topic_id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `events_ibfk_3` FOREIGN KEY (`location_id`) REFERENCES `locations` (`location_id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=91 DEFAULT CHARSET=latin1
Event topic table:
CREATE TABLE `event_topic` (
`event_topic_id` tinyint(3) unsigned NOT NULL AUTO_INCREMENT,
`event_topic_name` varchar(100) DEFAULT NULL,
`event_topic_description` text NOT NULL,
`event_topic_cost` decimal(7,2) DEFAULT NULL,
`event_type_id` tinyint(3) unsigned NOT NULL,
`event_topic_clickthrough` tinytext,
`event_topic_length` varchar(6) NOT NULL,
`event_topic_image` varchar(41) DEFAULT NULL,
`event_topic_image_md5` char(32) NOT NULL,
PRIMARY KEY (`event_topic_id`),
KEY `event_type_id` (`event_type_id`),
KEY `topic_image_sha1` (`event_topic_image_md5`),
CONSTRAINT `event_topic_ibfk_1` FOREIGN KEY (`event_type_id`) REFERENCES `event_type` (`event_type_id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=14 DEFAULT CHARSET=latin1
Event type table:
CREATE TABLE `event_type` (
`event_type_id` tinyint(3) unsigned NOT NULL AUTO_INCREMENT,
`event_type_name` varchar(50) NOT NULL,
`conf_email` text,
PRIMARY KEY (`event_type_id`),
KEY `event_type_name` (`event_type_name`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=latin1
Locations table:
CREATE TABLE `locations` (
`location_id` smallint(5) unsigned NOT NULL AUTO_INCREMENT,
`location_name` varchar(50) NOT NULL,
`location_address` tinytext NOT NULL,
`location_capacity` smallint(6) NOT NULL,
`city_id` tinyint(3) unsigned NOT NULL,
`gps_coords` varchar(30) DEFAULT NULL,
PRIMARY KEY (`location_id`),
KEY `city_id` (`city_id`),
CONSTRAINT `locations_ibfk_1` FOREIGN KEY (`city_id`) REFERENCES `city` (`city_id`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=13 DEFAULT CHARSET=latin1
Cities table:
CREATE TABLE `city` (
`city_id` tinyint(3) unsigned NOT NULL AUTO_INCREMENT,
`city_name` varchar(50) NOT NULL,
PRIMARY KEY (`city_id`),
UNIQUE KEY `city_name` (`city_name`)
) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=latin1
As it says in 'http://dev.mysql.com/doc/refman/5.1/en/explain-output.html': "Tables from earlier joins are read in portions into the join buffer, and then their rows are used from the buffer to perform the join with the current table."
So in your case, you had already joined event_topic, so the optimizer was able to use event_topic content from the join buffer.
Using a buffer is a good thing; you probably noticed the undesirable "Using temporary; Using filesort" on the first line of EXPLAIN output, which is probably from the GROUP BY and is probably unavoidable in this case.
By the way, will you run into problems with the "UNIQUE" constraint on city_name? I'm thinking of Springfield (two in New Jersey), Washington, Greenville, etc.
Try using:
"STRAIGHT_JOIN" and "FORCE INDEX":
EXPLAIN SELECT events.event_topic_id, event_topic_name, event_topic_image, event_type_name,city_name FROM events
-> straight_join event_topic force index(primary) ON event_topic.event_topic_id=events.event_topic_id
-> straight_join event_type force index(primary) ON event_type.event_type_id = event_topic.event_type_id
-> straight_join locations force index(primary) ON locations.location_id=events.location_id
-> straight_join city force index(primary) ON city.city_id=locations.city_id
-> WHERE event_date > NOW()
-> GROUP BY events.event_topic_id, city.city_id;
BTW, using a join buffer is not good. It means that you need to improve or reference to correct index.

Optimise MySql query using temporary and filesort

I have this query (shown below) which currently uses temporary and filesort in order to generate a grouped by set of ordered results. I would like to get rid of their usage if possible. I have looked into the underlying indexes used in this query and I just can't see what is missing.
SELECT
b.institutionid AS b__institutionid,
b.name AS b__name,
COUNT(DISTINCT f2.facebook_id) AS f2__0
FROM education_institutions b
LEFT JOIN facebook_education_matches f ON b.institutionid = f.institutionid
LEFT JOIN facebook_education f2 ON f.school_uid = f2.school_uid
WHERE
(
b.approved = '1'
AND f2.facebook_id IN ( [lots of facebook ids here ])
)
GROUP BY b__institutionid
ORDER BY f2__0 DESC
LIMIT 10
Here is the output for EXPLAIN EXTENDED :
+----+-------------+-------+--------+--------------------------------+----------------+---------+----------------------------------+------+----------+----------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
+----+-------------+-------+--------+--------------------------------+----------------+---------+----------------------------------+------+----------+----------------------------------------------+
| 1 | SIMPLE | f | index | PRIMARY,institutionId | institutionId | 4 | NULL | 308 | 100.00 | Using index; Using temporary; Using filesort |
| 1 | SIMPLE | f2 | ref | facebook_id_idx,school_uid_idx | school_uid_idx | 9 | f.school_uid | 1 | 100.00 | Using where |
| 1 | SIMPLE | b | eq_ref | PRIMARY | PRIMARY | 4 | f.institutionId | 1 | 100.00 | Using where |
+----+-------------+-------+--------+--------------------------------+----------------+---------+----------------------------------+------+----------+----------------------------------------------+
The CREATE TABLE statements for each table are shown below so you know the schema.
CREATE TABLE facebook_education (
education_id int(11) NOT NULL AUTO_INCREMENT,
name varchar(255) DEFAULT NULL,
school_uid bigint(20) DEFAULT NULL,
school_type varchar(255) DEFAULT NULL,
year smallint(6) DEFAULT NULL,
facebook_id bigint(20) DEFAULT NULL,
degree varchar(255) DEFAULT NULL,
PRIMARY KEY (education_id),
KEY facebook_id_idx (facebook_id),
KEY school_uid_idx (school_uid),
CONSTRAINT facebook_education_facebook_id_facebook_user_facebook_id FOREIGN KEY (facebook_id) REFERENCES facebook_user (facebook_id)
) ENGINE=InnoDB AUTO_INCREMENT=484 DEFAULT CHARSET=utf8;
CREATE TABLE facebook_education_matches (
school_uid bigint(20) NOT NULL,
institutionId int(11) NOT NULL,
created_at timestamp NULL DEFAULT NULL,
updated_at timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (school_uid),
KEY institutionId (institutionId),
CONSTRAINT fk_facebook_education FOREIGN KEY (school_uid) REFERENCES facebook_education (school_uid) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT fk_education_institutions FOREIGN KEY (institutionId) REFERENCES education_institutions (institutionId) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT;
CREATE TABLE education_institutions (
institutionId int(11) NOT NULL AUTO_INCREMENT,
name varchar(100) NOT NULL,
type enum('School','Degree') DEFAULT NULL,
approved tinyint(1) NOT NULL DEFAULT '0',
deleted tinyint(1) NOT NULL DEFAULT '0',
normalisedName varchar(100) NOT NULL,
created_at timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (institutionId)
) ENGINE=InnoDB AUTO_INCREMENT=101327 DEFAULT CHARSET=utf8;
Any guidance would be greatly appreciated.
The filesort probably happens because you have no suitable index for the ORDER BY
It's mentioned in the MySQL "ORDER BY Optimization" docs.
What you can do is load a temp table, select from that afterwards. When you load the temp table, use ORDER BY NULL. When you select from the temp table, use ORDER BY .. LIMIT
The issue is that group by adds an implicit order by <group by clause> ASC unless you disable that behavior by adding a order by null.
It's one of those MySQL specific gotcha's.
I can see two possible optimizations,
b.approved = '1' - You definitely need an index on approved column for quick filtering.
f2.facebook_id IN ( [lots of facebook ids here ]) ) - Store the facebook ids in a temp table,. Then create an index on the temp table and then join with the temp table instead of using IN clause.

MySQL won't use index for query?

I have this table:
CREATE TABLE `point` (
`id` INT(11) NOT NULL AUTO_INCREMENT,
`siteid` INT(11) NOT NULL,
`lft` INT(11) DEFAULT NULL,
`rgt` INT(11) DEFAULT NULL,
`level` SMALLINT(6) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `point_siteid_site_id` (`siteid`),
CONSTRAINT `point_siteid_site_id` FOREIGN KEY (`siteid`) REFERENCES `site` (`id`) ON DELETE CASCADE
) ENGINE=INNODB AUTO_INCREMENT=35 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
And this query:
SELECT * FROM `point` WHERE siteid = 1;
Which results in this EXPLAIN information:
+----+-------------+-------+------+----------------------+------+---------+------+------+-------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+------+----------------------+------+---------+------+------+-------------+
| 1 | SIMPLE | point | ALL | point_siteid_site_id | NULL | NULL | NULL | 6 | Using where |
+----+-------------+-------+------+----------------------+------+---------+------+------+-------------+
Question is, why isn't the query using the point_siteid_site_id index?
I haven't used MySQL much, but in PostgreSQL if the number of records is small in the table, it can decide not to use the index. This is not a problem, because it chooses the best query plan for the situation. When the number of records is bigger, it will use the index. Maybe this is the same case here with MySQL.
Edit: Are you sure the foreign key is indexed?
It's probably because you don't have enough sample data, or the cardinality (diversity) of the siteid values isn't very large. These are the most common reasons the optimizer will find it quicker just to read all the values.