I need to pull the data and write it to a csv file but its taking too much time and too much ram. What is wrong with it and what can I do? Also, I feel like there's a redundancy in the query itself. I'm doing this with PHP.
Here's the query
CREATE TEMPORARY TABLE temp1 SELECT * FROM vicidial_closer_log
USE INDEX(call_date)
WHERE call_date BETWEEN '1980-01-01 00:00:00' AND '2019-03-12 23:59:59';
CREATE TEMPORARY TABLE temp2 SELECT * FROM vicidial_closer_log
USE INDEX(call_date)
WHERE call_date BETWEEN '1980-01-01 00:00:00' AND '2019-03-12 23:59:59';
SELECT a.call_date,
a.lead_id,
a.phone_number
AS customer_number,
IF(a.status != 'DROP', 'ANSWERED', 'UNANSWERED')
AS status,
IF(a.lead_id IS NOT NULL, 'inbound', 'outbound')
AS call_type,
a.USER
AS agent,
a.campaign_id
AS skill,
NULL
AS campaign,
a.status
AS disposition,
a.term_reason
AS Hangup,
a.uniqueid,
Sec_to_time(a.queue_seconds)
AS time_to_answer,
Sec_to_time(a.length_in_sec - a.queue_seconds)
AS talk_time,
Sec_to_time(a.park_sec)
AS hold_sec,
Sec_to_time(a.dispo_sec)
AS wrapup_sec,
From_unixtime(a.start_epoch)
AS start_time,
From_unixtime(a.end_epoch)
AS end_time,
c.USER
AS
transfered,
a.comments,
IF(a.length_in_sec IS NULL, Sec_to_time(a.queue_seconds),
Sec_to_time(a.length_in_sec + a.dispo_sec))
AS duration,
Sec_to_time(a.length_in_sec - a.queue_seconds + a.dispo_sec)
AS handling_time
FROM temp1 a
left outer join temp2 c
ON a.uniqueid = c.uniqueid
AND a.closecallid < c.closecallid
GROUP BY a.closecallid
I've uploaded screenshot of table structure and the indices.
Table Structure
Indices of Table
Thanks.
UPDATE:
SHOW CREATE TABLE vicidial_closer_log
vicidial_closer_log CREATE TABLE `vicidial_closer_log` (
`closecallid` int(9) unsigned NOT NULL AUTO_INCREMENT,
`lead_id` int(9) unsigned NOT NULL,
`list_id` bigint(14) unsigned DEFAULT NULL,
`campaign_id` varchar(20) COLLATE utf8_unicode_ci DEFAULT NULL,
`call_date` datetime DEFAULT NULL,
`start_epoch` int(10) unsigned DEFAULT NULL,
`end_epoch` int(10) unsigned DEFAULT NULL,
`length_in_sec` int(10) DEFAULT NULL,
`status` varchar(6) COLLATE utf8_unicode_ci DEFAULT NULL,
`phone_code` varchar(10) COLLATE utf8_unicode_ci DEFAULT NULL,
`phone_number` varchar(18) COLLATE utf8_unicode_ci DEFAULT NULL,
`user` varchar(20) COLLATE utf8_unicode_ci DEFAULT NULL,
`comments` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`processed` enum('Y','N') COLLATE utf8_unicode_ci DEFAULT NULL,
`queue_seconds` decimal(7,2) DEFAULT 0.00,
`user_group` varchar(20) COLLATE utf8_unicode_ci DEFAULT NULL,
`xfercallid` int(9) unsigned DEFAULT NULL,
`term_reason` enum('CALLER','AGENT','QUEUETIMEOUT','ABANDON','AFTERHOURS','HOLDRECALLXFER', 'HOLDTIME','NOAGENT','NONE','MAXCALLS') COLLATE utf8_unicode_ci DEFAULT 'NONE',
`uniqueid` varchar(20) COLLATE utf8_unicode_ci NOT NULL DEFAULT '',
`agent_only` varchar(20) COLLATE utf8_unicode_ci DEFAULT '',
`queue_position` smallint(4) unsigned DEFAULT 1,
`called_count` smallint(5) unsigned DEFAULT 0,
`nopaperform` varchar(5) COLLATE utf8_unicode_ci NOT NULL DEFAULT 'NO',
`park_sec` int(3) DEFAULT 0,
`dispo_sec` int(3) DEFAULT 0,
`record_file` text COLLATE utf8_unicode_ci DEFAULT NULL,
PRIMARY KEY (`closecallid`),
KEY `lead_id` (`lead_id`),
KEY `call_date` (`call_date`),
KEY `campaign_id` (`campaign_id`),
KEY `uniqueid` (`uniqueid`),
KEY `phone_number` (`phone_number`),
KEY `date_user` (`call_date`,`user`),
KEY `closecallid` (`closecallid`)
) ENGINE=MyISAM AUTO_INCREMENT=1850672 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
EXPLAIN QUERY(On third query only):
id select_type table type possible_keys key key_len ref rows Extra
1 SIMPLE a ALL NULL NULL NULL NULL 664640 Using temporary; Using filesort
1 SIMPLE c ALL NULL NULL NULL NULL 662480 Using where; Using join buffer (flat, BNL join)
UPDATE(Updated Query):
SELECT a.call_date,
a.lead_id,
a.phone_number
AS customer_number,
IF(a.status != 'DROP', 'ANSWERED', 'UNANSWERED')
AS status,
IF(a.lead_id IS NOT NULL, 'inbound', 'outbound')
AS call_type,
a.user
AS agent,
a.campaign_id
AS skill,
NULL
AS campaign,
a.status
AS disposition,
a.term_reason
AS Hangup,
a.uniqueid,
Sec_to_time(a.queue_seconds)
AS time_to_answer,
Sec_to_time(a.length_in_sec - a.queue_seconds)
AS talk_time,
Sec_to_time(a.park_sec)
AS hold_sec,
Sec_to_time(a.dispo_sec)
AS wrapup_sec,
From_unixtime(a.start_epoch)
AS start_time,
From_unixtime(a.end_epoch)
AS end_time,
c.user
AS
transfered,
a.comments,
IF(a.length_in_sec IS NULL, Sec_to_time(a.queue_seconds),
Sec_to_time(a.length_in_sec + a.dispo_sec))
AS duration,
Sec_to_time(a.length_in_sec - a.queue_seconds + a.dispo_sec)
AS handling_time
FROM vicidial_closer_log a
LEFT OUTER JOIN vicidial_closer_log c
ON a.closecallid <> c.closecallid
AND a.uniqueid = c.uniqueid
AND a.closecallid < c.closecallid
WHERE a.call_date BETWEEN '2018-01-01 00:00:00' AND '2019-03-13 23:59:59'
EXPLAIN on updated query:
id select_type table type possible_keys key key_len ref rows Extra
1 SIMPLE a ALL call_date,date_user NULL NULL NULL 662829 Using where
1 SIMPLE c ref PRIMARY,uniqueid,closecallid uniqueid 62 aastell_bliss.a.uniqueid 1 Using where
Updated Query Execution Result:
Number of rows present between given time range: 155016 rows
Time taken: 0.0149 secs
It works!
Summary of comments that lead to an answer:
CREATE TEMPORARY TABLE ... SELECT doesn't create indexes on the temporary table
Explicit use of a temporary table, particularly of a large size, will rarely give a performance gain.
Using table aliases in a join allows for a self join
Group by Primary Key on the left side of a join doesn't add much as its already unique and the JOIN had no aggregate expressions. GROUP BY adds an implicit ORDER BY so you expression could end up slower if a secondary index was used to join the table.
While the date range of the query was large, preparing for it to be a significant filter when small would make the call_date more favourable as an index. To make this more favorable, the join key is added to the end of the index so most of the work of the join can happen by just looking at the index.
When PK is on a column, a secondary index on the same column isn't needed.
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center.
Closed 10 years ago.
EDIT:
I reworked the query as follows:
SELECT
a.title, count(*),at.search_code
FROM
`qitz3_attributes_type` at
left join
qitz3_attributes a
on
a.attribute_type_id = at.id
left join
qitz3_attributes_property ap
on
ap.attribute_id = a.id
left join
qitz3_helloworld h
on
h.id = ap.property_id
where
at.id in (1,2,8,9,11)
and
a.search_filter = 1
and
h.area=506
and
h.expiry_date >= '2013-02-20 13:28:04'
group by
a.title
order by search_code
This seems much faster but I am still getting a using temporary and using filesort on the explain...
id select_type table type possible_keys key key_len ref rows Extra
1 SIMPLE at range PRIMARY PRIMARY 4 NULL 5 Using where; Using temporary; Using filesort
1 SIMPLE a ref PRIMARY,Attribute type ID,Search filter,Attribute ... Attribute type ID 4 password.at.id 6 Using where
1 SIMPLE ap ref Property ID,Attribute ID,Attribute Property Attribute Property 4 password.a.id 142 Using where; Using index
1 SIMPLE h eq_ref PRIMARY,Area indexes,Expiry date PRIMARY 4 password.ap.property_id 1 Using where
ENDEDIT
I am working on a search component for a site I am developing and while it is all working there are a couple of queries that I would like to see running a touch faster.
In order to populate a set of search filters (display the count of the number of properties that have each facility or are of a particular type) I am using the following two queries. The first will get a list of IDs that I then plug into the second query as follows:
Based on the following info can anyone suggest a more efficient way to do this? I would really like to speed the first query up as it seems a little slow compared to the others.
Is 150ms actually that slow? 15ms would be better...
Thanks,
Adam
Query 1 (takes around 150ms):
SELECT h.id, h.parent_id, h.level, h.title as property_title, h.area, h.region, h.department, h.city,
LEFT(h.description, 250) as description, h.thumbnail, h.occupancy, h.swimming, g.path, (single_bedrooms + double_bedrooms + triple_bedrooms + quad_bedrooms + twin_bedrooms) as bedrooms, c.title as location_title, ( select min(tariff)
from qitz3_tariffs
where id = h.id ) as price, e.title as tariff_based_on, f.title as base_currency, a.title as property_type, a2.title as accommodation_type, ( select count(*)
from qitz3_reviews
where property_id = h.id
group by h.id ) as reviews
FROM qitz3_classifications c
LEFT JOIN qitz3_helloworld h
on c.id = h.area
LEFT JOIN qitz3_attributes_property ap
ON ap.property_id = h.id
LEFT JOIN qitz3_attributes_type at
ON at.id = ap.attribute_id
LEFT JOIN qitz3_attributes a
ON a.id = ap.attribute_id
LEFT JOIN qitz3_attributes_property ap2
ON ap2.property_id = h.id
LEFT JOIN qitz3_attributes_type at2
ON at2.id = ap2.attribute_id
LEFT JOIN qitz3_attributes a2
ON a2.id = ap2.attribute_id
LEFT JOIN qitz3_attributes e
ON e.id = h.tariff_based_on
LEFT JOIN qitz3_attributes f
ON f.id = h.base_currency
LEFT JOIN qitz3_classifications g
ON g.id = h.city
WHERE a.attribute_type_id = 1
AND a2.attribute_type_id = 2
AND c.id = 506
AND h.expiry_date >= '2013-02-20 12:05:13'
AND h.id > 1
Explain:
id select_type table type possible_keys key key_len ref rows Extra
1 PRIMARY c const PRIMARY PRIMARY 4 const 1
1 PRIMARY h ref PRIMARY,Area indexes,Expiry date Area indexes 4 const 615 Using where
1 PRIMARY ap ref Property ID,Attribute ID Property ID 4 password.h.id 21 Using where
1 PRIMARY at eq_ref PRIMARY PRIMARY 4 password.ap.attribute_id 1 Using index
1 PRIMARY a eq_ref PRIMARY,Attribute type ID PRIMARY 4 password.ap.attribute_id 1 Using where
1 PRIMARY ap2 ref Property ID,Attribute ID Property ID 4 password.ap.property_id 21 Using where
1 PRIMARY at2 eq_ref PRIMARY PRIMARY 4 password.ap2.attribute_id 1 Using index
1 PRIMARY a2 eq_ref PRIMARY,Attribute type ID PRIMARY 4 password.ap2.attribute_id 1 Using where
1 PRIMARY e eq_ref PRIMARY PRIMARY 4 password.h.tariff_based_on 1
1 PRIMARY f eq_ref PRIMARY PRIMARY 4 password.h.base_currency 1
1 PRIMARY g eq_ref PRIMARY PRIMARY 4 password.h.city 1
3 DEPENDENT SUBQUERY qitz3_reviews ref Property ID Property ID 4 password.h.id 1 Using index; Using temporary; Using filesort
2 DEPENDENT SUBQUERY qitz3_tariffs ref Property ID Property ID 4 password.h.id 2
Query 2 (takes around 30ms):
SELECT a.id,count(attribute_id) as count, a.title AS attribute, a.published, at.title as facility_type, at.search_code
FROM qitz3_attributes AS a
LEFT JOIN qitz3_attributes_type at
on at.id = a.attribute_type_id
LEFT JOIN qitz3_attributes_property ap
on ap.attribute_id = a.id
WHERE search_filter = 1
AND a.published = 1
AND property_id in (152843,103180,152845,4628,5653,3865,107553,155945,106029,107575,149052,837,104264,98635,98636,98637,98638,3667,106838,3672,157278,155743,157791,157792,151153,151155,100725,106109,157569,157576,107145,150666,103310,5780,3480,102041,154016,3490,154018,932,153518,151991,154041,154042,4288,5832,149451,157646,102094,148444,153822,157407,153839,151536,157393,157395,157428,157429,102236,104770,157378,157380,157381,157382,157383,157654,104768,103746,153683,150175,4618,101050,104942,157229,157230,98515,104771,104944,3612,148721,104212,5307,3432,156676,102706,404,5518,156359,5252,102697,5271,98979,101827,149524,102676,107551,5685,101736,156538,152703,4730,151881,95838,3759,149769,5269,98429,153729,5233,703,5579,98943,157433,3157,155661,107347,147545,147547,5216,106345,156533,93833,158091,96403,3491,968,158195,158196,157580,104148,3030,94686,154725,150582,103027,99062,102462,4384,5634,153874,157974,101669,47,105285,102481,102234,5749,156793,153748,96404,151467,154292,147645,97471,100551,102090,4841,3563,155643,4656,98424,157243,150601,157415,4701,102283,100719,100738,5643,98425,98972,103261,531,3105,98108,150592,5719,150616,157532,3974,3212,157581,97469,97470,149183,157638,149730,102114,156395,153621,102560,102913,94684,5609,157578,98423,98971,102151,146734,150585,104287,155296,104956,94592,102433,147575,156325,106344,101766,107058,106560,103026,157848,98973,4303,5620,149767,150563,4407,104268,97876,156784,156786,149922,701,154317,153821,102480,348,102778,102779,102780,102781,102479,352,103025,98677,5254,98697,3995,156322,100305,98532,3833,5374,150172,151435,102368,102380,157228,103171,147740,152870,103579,3870,104037,103016,4995,105104,157605,5811,955,147643,156648,107802,101502,94685,3569,148755,150293,4122,157013,157297,98676,156794,102848,157635,157640,95717,98980,102764,102777,102782,36,101765,154373,149829,154955,107683,158176,102557,157552,103163,5760,104627,153561,266,151335,151176,147620,147379,3085,155760,106339,151424,106759,5145,104990,97877,155495,5241,156407,156625,3236,152782,96066,147617,3860,4614,3497,147883,158207,102985,104622,101816,157275,149037,4792,149226,3496,101825,102538,150571,105015,97874,157391,158192,102562,155032,5383,102558,104194,156740,101446,147615,5815,107081,155992,97473,148817,945,101751,158074,4249,101792,4532,152828,104316,157319,156071,157508,157510,148836,4745,153823,157942,3859,157442,100017,102555,147629,149272,157845,151256,101481,154735,154737,157652,106232,97991,4660,3309,157597,407,157658,154152,157374,153385,148037,158214,100452)
GROUP BY a.id
This query gives a count of the number of properties with each attribute (e.g. Golf, Air conditioning, property type etc). The good thing about this is that only attributes are shown that have properties. So as the user drills down attributes with no properties are not shown. This is basically down to the first query where I get a list of the properties matching a particular set of attributes.
The tables are as follows:
--
-- Table structure for table qitz3_attributes
CREATE TABLE IF NOT EXISTS `qitz3_attributes` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`attribute_type_id` int(11) NOT NULL,
`title` varchar(75) NOT NULL,
`ordering` int(11) NOT NULL,
`state` tinyint(4) NOT NULL DEFAULT '1',
`published` int(11) NOT NULL,
`search_filter` bit(1) NOT NULL,
`language_code` varchar(6) NOT NULL DEFAULT 'en-GB',
PRIMARY KEY (`id`),
KEY `Attribute type ID` (`attribute_type_id`),
KEY `Search filter` (`search_filter`),
KEY `Published` (`published`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=1522 ;
--
-- Table structure for table qitz3_attributes_property
CREATE TABLE IF NOT EXISTS `qitz3_attributes_property` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`property_id` int(11) NOT NULL,
`attribute_id` int(11) NOT NULL,
PRIMARY KEY (`id`),
KEY `Property ID` (`property_id`),
KEY `Attribute ID` (`attribute_id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=66261 ;
--
-- Table structure for table qitz3_attributes_type
CREATE TABLE IF NOT EXISTS `qitz3_attributes_type` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`title` varchar(75) NOT NULL,
`language_code` varchar(6) NOT NULL,
`field_name` varchar(25) NOT NULL,
`search_code` varchar(25) NOT NULL,
`state` int(11) NOT NULL DEFAULT '1',
`published` int(11) NOT NULL DEFAULT '1',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=34 ;
--
-- Table structure for table qitz3_classifications
CREATE TABLE IF NOT EXISTS `qitz3_classifications` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`parent_id` int(10) unsigned NOT NULL DEFAULT '0',
`lft` int(11) NOT NULL DEFAULT '0',
`rgt` int(11) NOT NULL DEFAULT '0',
`level` int(10) unsigned NOT NULL DEFAULT '0',
`title` varchar(255) NOT NULL,
`description` text NOT NULL,
`path` varchar(255) NOT NULL DEFAULT '',
`alias` varchar(255) NOT NULL,
`access` tinyint(3) unsigned NOT NULL DEFAULT '0',
`published` int(11) NOT NULL,
`longitude` float(10,6) NOT NULL,
`latitude` float(10,6) NOT NULL,
PRIMARY KEY (`id`),
KEY `idx_left_right` (`lft`,`rgt`),
KEY `Alias index` (`alias`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=158052 ;
--
-- Table structure for table qitz3_helloworld (Property table)
CREATE TABLE IF NOT EXISTS `qitz3_helloworld` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`parent_id` int(10) NOT NULL DEFAULT '0',
`lft` int(11) NOT NULL DEFAULT '0',
`rgt` int(11) NOT NULL DEFAULT '0',
`level` int(10) unsigned NOT NULL,
`alias` varchar(250) NOT NULL DEFAULT '',
`access` tinyint(3) unsigned NOT NULL DEFAULT '0',
`path` varchar(255) NOT NULL DEFAULT '',
`title` varchar(120) NOT NULL,
`area` int(11) NOT NULL DEFAULT '0',
`region` int(11) NOT NULL DEFAULT '0',
`department` int(11) NOT NULL DEFAULT '0',
`city` int(11) NOT NULL DEFAULT '0',
`params` text NOT NULL,
`created_by` int(10) NOT NULL DEFAULT '0',
`created_on` datetime NOT NULL,
`modified` datetime DEFAULT NULL,
`expiry_date` date DEFAULT NULL,
`availability_last_updated_on` datetime DEFAULT NULL,
`modified_by` int(11) DEFAULT NULL,
`lang` varchar(5) NOT NULL DEFAULT 'en-GB',
`description` mediumtext NOT NULL COMMENT 'The summary and description for this accommodation',
`internal_facilities_other` varchar(1000) NOT NULL,
`external_facilities_other` varchar(1000) NOT NULL,
`activities_other` varchar(5000) NOT NULL,
`location_details` varchar(5000) NOT NULL,
`getting_there` varchar(5000) NOT NULL,
`thumbnail` varchar(150) NOT NULL,
`occupancy` int(11) DEFAULT NULL,
`single_bedrooms` int(11) NOT NULL,
`double_bedrooms` int(11) NOT NULL,
`triple_bedrooms` int(11) DEFAULT NULL,
`quad_bedrooms` int(11) DEFAULT NULL,
`twin_bedrooms` int(11) DEFAULT NULL,
`childrens_beds` int(11) DEFAULT NULL,
`cots` int(11) DEFAULT NULL,
`extra_beds` int(11) DEFAULT NULL,
`bathrooms` int(11) NOT NULL,
`toilets` int(11) DEFAULT NULL,
`swimming` int(11) NOT NULL,
`latitude` decimal(10,7) DEFAULT NULL,
`longitude` decimal(10,7) DEFAULT NULL,
`nearest_town` varchar(50) DEFAULT NULL,
`distance_to_coast` int(11) DEFAULT NULL,
`additional_price_notes` varchar(3000) DEFAULT NULL,
`base_currency` int(11) DEFAULT NULL,
`tariff_based_on` int(11) DEFAULT NULL,
`linen_costs` varchar(250) DEFAULT NULL,
`changeover_day` int(11) DEFAULT NULL,
`published` tinyint(4) NOT NULL DEFAULT '0',
`video` tinyint(4) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
KEY `idx_left_right` (`lft`,`rgt`),
KEY `Area indexes` (`area`,`region`,`department`),
KEY `Expiry date` (`expiry_date`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=158249 ;
--
-- Table structure for table qitz3_reviews
CREATE TABLE IF NOT EXISTS `qitz3_reviews` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`property_id` int(11) NOT NULL,
`title` varchar(150) NOT NULL,
`review_text` varchar(4000) NOT NULL,
`date` date NOT NULL,
`rating` int(11) NOT NULL,
`guest_name` varchar(75) NOT NULL,
`guest_email` varchar(150) NOT NULL,
`state` tinyint(3) NOT NULL DEFAULT '0',
`published` tinyint(1) NOT NULL DEFAULT '0',
`created` datetime NOT NULL,
`created_by` int(11) NOT NULL,
PRIMARY KEY (`id`),
KEY `Property ID` (`property_id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=921 ;
--
-- Table structure for table qitz3_tariffs
CREATE TABLE IF NOT EXISTS `qitz3_tariffs` (
`tariff_id` int(11) NOT NULL AUTO_INCREMENT,
`id` int(11) NOT NULL COMMENT 'Denotes the property listing ID',
`start_date` date NOT NULL,
`end_date` date NOT NULL,
`tariff` int(11) NOT NULL COMMENT 'Price per booking period between the dates specified. dated spec',
PRIMARY KEY (`tariff_id`),
KEY `Property ID` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=9267 ;
Quick play, but trying to move the subselects out from the field list.
SELECT h.id, h.parent_id, h.level, h.title as property_title, h.area, h.region, h.department, h.city, LEFT(h.description, 250) as description, h.thumbnail, h.occupancy, h.swimming, g.path, (single_bedrooms + double_bedrooms + triple_bedrooms + quad_bedrooms + twin_bedrooms) as bedrooms, c.title as location_title,
Sub1.price,
e.title as tariff_based_on, f.title as base_currency, a.title as property_type, a2.title as accommodation_type,
Sub2.reviews
FROM qitz3_classifications c
LEFT JOIN qitz3_helloworld h on c.id = h.area
LEFT JOIN qitz3_attributes_property ap ON ap.property_id = h.id
LEFT JOIN qitz3_attributes_type at ON at.id = ap.attribute_id
LEFT JOIN qitz3_attributes a ON a.id = ap.attribute_id
LEFT JOIN qitz3_attributes_property ap2 ON ap2.property_id = h.id
LEFT JOIN qitz3_attributes_type at2 ON at2.id = ap2.attribute_id
LEFT JOIN qitz3_attributes a2 ON a2.id = ap2.attribute_id
LEFT JOIN qitz3_attributes e ON e.id = h.tariff_based_on
LEFT JOIN qitz3_attributes f ON f.id = h.base_currency
LEFT JOIN qitz3_classifications g ON g.id = h.city
LEFT JOIN ( SELECT id, MIN(tariff) AS price FROM qitz3_tariffs GROUP BY id) Sub1 ON Sub1.Id = h.id
LEFT JOIN ( SELECT property_id, COUNT(*) AS reviews FROM qitz3_reviews GROUP BY property_id ) as Sub2 ON Sub2.property_id = h.id
WHERE a.attribute_type_id = 1
AND a2.attribute_type_id = 2
AND c.id = 506
AND h.expiry_date >= '2013-02-20 12:05:13'
AND h.id > 1
When you need more speed in searching data you should take a look at Solr or Sphinx. With this index servers you can index your MySQL-Data and query them.
Its much more faster then MySQL.
There's quite a lot wrong in your first query:
The first 7 LEFT JOINs should be INNER JOINs. For qitz3_attributes you should consider normalizing the data less aggressively (use multiple columns instead of multiple rows to describe the data.