I have a table in my database that contain around 10 millions rows.
The problem occur when I execute this query : It takes a very long time to execute (12.418s) and I wonder how can I speed this query up.
SELECT *
FROM cadastre_test
WHERE latitude >= 45.1269166 AND latitude <= 45.127816 AND longitude >= -0.6631578 AND longitude <= -0.6618832
LIMIT 100 ;
I tried the BETWEEN instead of <= and >= but it was slower of 4 seconds.
Here is the CREATE TABLE query :
CREATE TABLE `cadastre_test` (
`id_mutation` varchar(255) NOT NULL,
`date_mutation` date DEFAULT NULL,
`numero_disposition` varchar(8) DEFAULT NULL,
`nature_mutation` varchar(255) DEFAULT NULL,
`valeur_fonciere` float DEFAULT NULL,
`adresse_numero` smallint(6) DEFAULT NULL,
`adresse_suffixe` varchar(128) DEFAULT NULL,
`adresse_nom_voie` varchar(128) DEFAULT NULL,
`adresse_code_voie` varchar(8) DEFAULT NULL,
`code_postal` varchar(10) DEFAULT NULL,
`code_commune` varchar(10) DEFAULT NULL,
`nom_commune` varchar(255) DEFAULT NULL,
`code_departement` varchar(10) DEFAULT NULL,
`ancien_code_commune` varchar(10) DEFAULT NULL,
`ancien_nom_commune` varchar(255) DEFAULT NULL,
`id_parcelle` varchar(20) DEFAULT NULL,
`ancien_id_parcelle` varchar(20) DEFAULT NULL,
`numero_volume` varchar(15) DEFAULT NULL,
`lot1_numero` varchar(6) DEFAULT NULL,
`lot1_surface_carrez` float DEFAULT NULL,
`lot2_numero` varchar(6) DEFAULT NULL,
`lot2_surface_carrez` float DEFAULT NULL,
`lot3_numero` varchar(6) DEFAULT NULL,
`lot3_surface_carrez` float DEFAULT NULL,
`lot4_numero` varchar(6) DEFAULT NULL,
`lot4_surface_carrez` float DEFAULT NULL,
`lot5_numero` varchar(6) DEFAULT NULL,
`lot5_surface_carrez` float DEFAULT NULL,
`nombre_lots` smallint(6) DEFAULT NULL,
`code_type_local` smallint(6) DEFAULT NULL,
`type_local` varchar(255) DEFAULT NULL,
`surface_reelle_bati` float DEFAULT NULL,
`nombre_pieces_principales` smallint(6) DEFAULT NULL,
`code_nature_culture` varchar(10) DEFAULT NULL,
`nature_culture` varchar(255) DEFAULT NULL,
`code_nature_culture_speciale` varchar(255) DEFAULT NULL,
`nature_culture_speciale` varchar(255) DEFAULT NULL,
`surface_terrain` float DEFAULT NULL,
`longitude` decimal(11,7) DEFAULT NULL,
`latitude` decimal(11,7) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
add an index on your table for latitude , longitude:
create index inx_lang_long on cadastre_test (latitude , longitude) ;
I have a query which is generated via PHP framework core function. I don't have control to change the query. Therefore i will need to perform optimization on server side i.e. mysql to execute this query in efficient time. I have applied some indices but still it is taking around 4-5 seconds and ideally it should take 1-1.5 seconds. Following is the query:
(
SELECT rr.rt_bids_aos_quotes_relaos_quotes_idb AS so_id,
rr.sales_order_sequence sequence,
so.*
FROM rt_bids_aos_quotes_rel AS rr
INNER JOIN aos_quotes AS so ON so.id = rr.rt_bids_aos_quotes_relaos_quotes_idb
WHERE rr.deleted = 0
AND rr.rt_bids_aos_quotes_relrt_bids_ida='490395-403600-b'
)
UNION
(
SELECT ra.rt_bids_aos_quotes_altaos_quotes_idb AS so_id,
'' AS sequence,
so.*
FROM rt_bids_aos_quotes_alternate AS ra
INNER JOIN aos_quotes AS so ON so.id = ra.rt_bids_aos_quotes_altaos_quotes_idb
WHERE ra.deleted = 0
AND ra.rt_bids_aos_quotes_altrt_bids_ida='490395-403600-b'
)
Following is the Explain query result:Image_here
id select_type table type possible_keys key key_len ref rows Extra
1 PRIMARY rt_bids_aos_quotes_rel const idx_rt_bids_aos_quotes_relrt_bids_ida_deleted,rt_bids_aos_quotes_rel_alt,idx_rt_bids_aos_quotes_rel_rt_bids_aos_quotes_relaos_quotes_idb idx_rt_bids_aos_quotes_relrt_bids_ida_deleted 113 const,const 1 NULL
1 PRIMARY so ALL NULL NULL NULL NULL 631950 Using where
2 UNION NULL NULL NULL NULL NULL NULL NULL Impossible WHERE noticed after reading const tables
NULL UNION RESULT <union1,2> ALL NULL NULL NULL NULL NULL Using temporary
Show create table results :
CREATE TABLE `rt_bids_aos_quotes_rel` (
`id` varchar(36) NOT NULL,
`date_modified` datetime DEFAULT NULL,
`deleted` tinyint(1) DEFAULT '0',
`rt_bids_aos_quotes_relrt_bids_ida` varchar(36) DEFAULT NULL,
`rt_bids_aos_quotes_relaos_quotes_idb` varchar(36) DEFAULT NULL,
`sales_order_sequence` int(11) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `idx_rt_bids_aos_quotes_relrt_bids_ida_deleted` (`deleted`,`rt_bids_aos_quotes_relrt_bids_ida`),
KEY `rt_bids_aos_quotes_rel_alt` (`rt_bids_aos_quotes_relrt_bids_ida`,`rt_bids_aos_quotes_relaos_quotes_idb`),
KEY `idx_rt_bids_aos_quotes_rel_rt_bids_aos_quotes_relaos_quotes_idb` (`rt_bids_aos_quotes_relaos_quotes_idb`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE `aos_quotes` (
`id` char(36) NOT NULL,
`name` varchar(255) DEFAULT NULL,
`date_entered` datetime DEFAULT NULL,
`date_modified` datetime DEFAULT NULL,
`modified_user_id` char(36) DEFAULT NULL,
`created_by` char(36) DEFAULT NULL,
`description` text,
`deleted` tinyint(1) DEFAULT '0',
`assigned_user_id` char(36) DEFAULT NULL,
`approval_issue` text,
`billing_account_id` char(36) DEFAULT NULL,
`billing_contact_id` char(36) DEFAULT NULL,
`billing_address_street` varchar(150) DEFAULT NULL,
`billing_address_city` varchar(100) DEFAULT NULL,
`billing_address_state` varchar(100) DEFAULT NULL,
`billing_address_postalcode` varchar(20) DEFAULT NULL,
`billing_address_country` varchar(255) DEFAULT NULL,
`shipping_address_street` varchar(150) DEFAULT NULL,
`shipping_address_city` varchar(100) DEFAULT NULL,
`shipping_address_state` varchar(100) DEFAULT NULL,
`shipping_address_postalcode` varchar(20) DEFAULT NULL,
`shipping_address_country` varchar(255) DEFAULT NULL,
`expiration` date DEFAULT NULL,
`number` int(11) NOT NULL,
`opportunity_id` char(36) DEFAULT NULL,
`template_ddown_c` text,
`total_amt` decimal(26,6) DEFAULT NULL,
`total_amt_usdollar` decimal(26,6) DEFAULT NULL,
`subtotal_amount` decimal(26,6) DEFAULT NULL,
`subtotal_amount_usdollar` decimal(26,6) DEFAULT NULL,
`discount_amount` decimal(26,6) DEFAULT NULL,
`discount_amount_usdollar` decimal(26,6) DEFAULT NULL,
`tax_amount` decimal(26,6) DEFAULT NULL,
`tax_amount_usdollar` decimal(26,6) DEFAULT NULL,
`shipping_amount` decimal(26,6) DEFAULT NULL,
`shipping_amount_usdollar` decimal(26,6) DEFAULT NULL,
`shipping_tax` varchar(100) DEFAULT NULL,
`shipping_tax_amt` decimal(26,6) DEFAULT NULL,
`shipping_tax_amt_usdollar` decimal(26,6) DEFAULT NULL,
`total_amount` decimal(26,6) DEFAULT NULL,
`total_amount_usdollar` decimal(26,6) DEFAULT NULL,
`currency_id` char(36) DEFAULT NULL,
`stage` varchar(100) DEFAULT 'Draft',
`term` varchar(100) DEFAULT NULL,
`terms_c` text,
`approval_status` varchar(100) DEFAULT NULL,
`invoice_status` varchar(100) DEFAULT 'Not Invoiced',
`subtotal_tax_amount` decimal(26,6) DEFAULT NULL,
`subtotal_tax_amount_usdollar` decimal(26,6) DEFAULT NULL,
`bid_id` char(36) DEFAULT NULL,
`alt` varchar(255) DEFAULT NULL,
`group_desc` longtext,
`hold` tinyint(1) DEFAULT '0',
`order_amount` decimal(26,2) DEFAULT NULL,
`order_description` longtext,
`status` varchar(100) DEFAULT NULL,
`type` varchar(255) DEFAULT NULL,
`contract_id` char(36) DEFAULT NULL,
`customer_discount` decimal(26,2) DEFAULT NULL,
`customer_markup` decimal(26,2) DEFAULT NULL,
`markup_inv_type` decimal(26,2) DEFAULT NULL,
`location_id` char(36) DEFAULT NULL,
`active` varchar(100) DEFAULT 'Active',
`city` varchar(255) DEFAULT NULL,
`rt_jobs_id` char(36) DEFAULT NULL,
`system_type` varchar(36) DEFAULT NULL,
`com_address` varchar(255) DEFAULT NULL,
`com_city` varchar(255) DEFAULT NULL,
`com_mapsco` varchar(255) DEFAULT NULL,
`com_state_zip` varchar(255) DEFAULT NULL,
`job_type` varchar(100) DEFAULT NULL,
`calc_labor` varchar(100) DEFAULT 'Item_Install_amt',
`comission` decimal(10,4) DEFAULT '0.0000',
`hourly_labor_rate` decimal(8,4) DEFAULT NULL,
`labor_percentage_of_price` decimal(12,2) DEFAULT NULL,
`overhead` decimal(12,4) DEFAULT '0.0000',
`profit` decimal(12,4) DEFAULT '0.0000',
`pricing_checkbox` tinyint(1) DEFAULT '0',
`pkg_package_id` char(36) DEFAULT NULL,
`dh_factor` decimal(6,2) DEFAULT '0.00',
`addl_builder_price` decimal(12,4) DEFAULT '0.0000',
`billing_notes` longtext,
`billing_notes_home` longtext,
`builder_percentage` decimal(12,4) DEFAULT '0.0000',
`discount` decimal(12,4) DEFAULT '0.0000',
`jobs_contact_homeowner_id` char(36) DEFAULT NULL,
`mortage` varchar(100) DEFAULT 'mortage',
`oh_percentage` decimal(12,2) DEFAULT '0.00',
`origin` varchar(255) DEFAULT NULL,
`package_items` decimal(10,2) DEFAULT NULL,
`package_items_unit_left` decimal(10,2) DEFAULT '0.00',
`selected_package_units` decimal(10,2) DEFAULT '0.00',
`jobs_account_superintendent_id` char(36) DEFAULT NULL,
`subdivision_selected_id` char(36) DEFAULT NULL,
`subdivision_selected_name` varchar(255) DEFAULT NULL,
`department` varchar(255) DEFAULT 'Dallas',
`locked` tinyint(1) DEFAULT '0',
`billed_amount` decimal(26,2) DEFAULT '0.00',
`billed_percentage` decimal(26,2) DEFAULT '0.00',
`retained_amount` decimal(26,2) DEFAULT '0.00',
`selected_package_amount` decimal(26,2) DEFAULT '0.00',
`builder_amount` decimal(26,2) DEFAULT '0.00',
`home_owner_amount` decimal(26,2) DEFAULT '0.00',
`builderContractAmount` decimal(26,2) DEFAULT '0.00',
`homeOwnerContractAmount` decimal(26,2) DEFAULT '0.00',
`ho_pct` decimal(26,6) DEFAULT '0.000000',
`builder_pct` decimal(26,6) DEFAULT '0.000000',
`labor_pct` decimal(26,6) DEFAULT '0.000000',
`mortgage` tinyint(1) DEFAULT '0',
`ho_order` tinyint(1) DEFAULT '0',
`home_owner_sale_order` tinyint(1) DEFAULT '0',
`directly_created_contract` tinyint(1) DEFAULT '0',
`crew_manager_id` char(36) DEFAULT NULL,
`estimate_date` date DEFAULT NULL,
`complete` tinyint(1) DEFAULT '0',
`complete_note` text,
`plan_estimate_date` date DEFAULT NULL,
`plan_manager_id` char(36) DEFAULT NULL,
`lock_bid_id` char(36) DEFAULT NULL,
`documents_id` text,
`no_item_change` tinyint(1) DEFAULT '0',
`tagged_at_yard` tinyint(1) DEFAULT '0',
`soap_created_so` tinyint(1) DEFAULT '0',
`soap_created_so_amount` decimal(10,2) DEFAULT '0.00',
`subcon_vendor` varchar(255) DEFAULT NULL,
`plan_complete` varchar(100) DEFAULT 'In Progress',
`plan_required` tinyint(1) DEFAULT '0',
`plan_important` varchar(255) DEFAULT '0',
`confirm` varchar(100) DEFAULT 'Unconfirm',
`designer_notes` text,
`plan_due_date` date DEFAULT NULL,
`plan_required_so` tinyint(1) DEFAULT '0',
`plan_request` tinyint(1) DEFAULT '0',
`material_hold_status` varchar(255) DEFAULT NULL,
`wh_warehouse_id` char(36) DEFAULT NULL,
`work_order_created` tinyint(1) DEFAULT '0',
`maintenance_status` varchar(100) DEFAULT NULL,
`classification_type` varchar(255) DEFAULT NULL,
`pricing_type` varchar(255) DEFAULT NULL,
`estimate_end_date` date DEFAULT NULL,
`install_date` date DEFAULT NULL,
`is_matched` tinyint(1) DEFAULT '0',
`builder_discount` decimal(10,2) DEFAULT '0.00',
`ho_discount` decimal(10,2) DEFAULT '0.00',
`locate_required` tinyint(1) DEFAULT '0',
`priority` varchar(100) DEFAULT NULL,
`is_no_charged` tinyint(1) DEFAULT '0',
`no_charge_reasons` varchar(255) DEFAULT NULL,
`no_charge_users` varchar(50) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `idx_aos_quotes_type` (`type`),
KEY `idx_aos_quotes_rt_jobs_id` (`rt_jobs_id`),
KEY `idx_aos_quotes_id` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
CREATE TABLE `rt_bids_aos_quotes_alternate` (
`id` varchar(36) NOT NULL,
`date_modified` datetime DEFAULT NULL,
`deleted` tinyint(1) DEFAULT '0',
`rt_bids_aos_quotes_altrt_bids_ida` varchar(36) DEFAULT NULL,
`rt_bids_aos_quotes_altaos_quotes_idb` varchar(36) DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `idx_rt_bids_aos_quotes_altrt_bids_ida_deleted` (`deleted`,`rt_bids_aos_quotes_altrt_bids_ida`),
KEY `rt_bids_aos_quotes_alt` (`rt_bids_aos_quotes_altrt_bids_ida`,`rt_bids_aos_quotes_altaos_quotes_idb`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
Please advise how can i improve it.
Your default charset for aos_quotes is latin1, but the default charset for the other tables is utf8. When you JOIN based on comparing two strings with different collations, they can't use the index, so they are forced to do a table-scan. I have no doubt that's what's slowing down your query.
When I use your tables as is, I get this EXPLAIN for the so tables:
*************************** 2. row ***************************
id: 1
select_type: PRIMARY
table: so
partitions: NULL
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 1
filtered: 100.00
Extra: Using where
When I convert your aos_quotes table to utf8, I get this EXPLAIN for the so tables:
*************************** 2. row ***************************
id: 1
select_type: PRIMARY
table: so
partitions: NULL
type: const
possible_keys: PRIMARY,idx_aos_quotes_id
key: PRIMARY
key_len: 108
ref: const
rows: 1
filtered: 100.00
Extra: NULL
The "type: PRIMARY" is much better than "type: ALL".
So you need to convert your aos_quotes table to utf8.
See How do I change a MySQL table to UTF-8?
Other possible improvements:
A PRIMARY KEY is a UNIQUE key is a KEY. So KEY idx_aos_quotes_id (id) is redundant and could (should) be dropped.
I see VARCHAR(36); that usually smacks of random UUIDs. But your query shows something else. What is the situation. (The randomness of standard UUIDs is a performance problem in large tables.)
I see lots of TEXT columns and SELECT .. so.* fetching all of them. If you don't need them all, don't fetch them all. Each one is potentially an extra disk hit.
UNION defaults to UNION DISTINCT, which involves a de-dup pass. If you don't need that, then UNION ALL would be faster.
(Not a speed issue, just a readability issue.) Can you remove the clutter of the "rt_bids_aos_quotes_" prefix?
If rt_bids_aos_quotes_alternate and rt_bids_aos_quotes_rel are many:many mappings, see my blog for several performance tips.
decimal(26,6) takes 12 bytes. Do you need that much precision and range? Or would some other datatype do? Smaller -> more cacheable -> less I/O -> faster. (Rule of Thumb: DECIMAL(m,n) occupies about m/2 bytes. INT and FLOAT occupy exactly 4 bytes. TINYINT: 1 byte.)
In addition to fixing the CHARSET for id, fix the inconsistency between CHAR(36) and VARCHAR(36), especially if your ids are only 15 characters. (Again, space may lead to speed.)
I see UNIQUE(deleted, ida) -- Does this mean that there can be 1 or 2 rows with a given ida? If there can be only one (either deleted or not), then make (ida) the PK.
I have a table containing more than 1 million data and I am trying to fetch using a date range. I have indexed the date column and still its searching the entire rows. Can someone give a best solution to fix this up.
/** Table Structure **/
CREATE TABLE `claim_history` (
`claim_history_id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`consultation_id` varchar(50) NOT NULL,
`member_id` int(11) unsigned DEFAULT NULL,
`card_number` char(18) DEFAULT NULL,
`member_name` varchar(200) DEFAULT NULL,
`network_code` int(11) unsigned NOT NULL DEFAULT '0',
`mobile_number` varchar(50) DEFAULT NULL,
`soap_number` varchar(50) DEFAULT NULL,
`diagnosis_id` varchar(50) DEFAULT NULL,
`diagnosis_code` varchar(50) DEFAULT NULL,
`diagnosis_description` text,
`activity_id` int(11) unsigned DEFAULT NULL,
`activity_code` varchar(50) DEFAULT NULL,
`activity_description` text,
`activity_comments` text,
`activity_quantity` int(11) unsigned NOT NULL DEFAULT '0',
`is_erx` tinyint(1) NOT NULL DEFAULT '0',
`lab_id` int(11) unsigned DEFAULT NULL,
`lab_name` varchar(100) DEFAULT NULL,
`session_no` tinyint(1) unsigned NOT NULL DEFAULT '0',
`net_amount` decimal(10,2) DEFAULT NULL,
`copay_pct` decimal(10,2) DEFAULT NULL,
`copay_amt` decimal(10,2) DEFAULT NULL,
`total_cost` decimal(10,2) DEFAULT NULL,
`is_edited` tinyint(1) unsigned DEFAULT '0',
`edit_comments` text,
`is_assigned_mcc` tinyint(1) DEFAULT '0'
`mcc_user` int(11) unsigned DEFAULT NULL,
`mcc_user_name` varchar(50) DEFAULT NULL,
`rule_name` varchar(200) DEFAULT NULL,
`mcu_assigned_time` timestamp NULL DEFAULT NULL,
`mcu_action_performed_time` timestamp NULL DEFAULT NULL,
`mcu_open_time` timestamp NULL DEFAULT NULL,
`is_reappealed` tinyint(1) unsigned NOT NULL DEFAULT '0',
`reappeal_count` int(11) unsigned NOT NULL,
`denial_code` varchar(50) DEFAULT NULL,
`denial_description` text,
`rejection_comments` text,
`justification_comment` text,
`justification_reply` text,
`justification_count` tinyint(1) unsigned NOT NULL DEFAULT '0',
`edit_comment_reply` text,
`is_referral` tinyint(1) unsigned NOT NULL DEFAULT '0',
`is_physiotherapy` tinyint(1) unsigned NOT NULL DEFAULT '0',
`facility_id` int(11) unsigned DEFAULT NULL,
`provider_code` varchar(50) DEFAULT NULL,
`provider_name` varchar(100) DEFAULT NULL,
`doctor_user_id` int(11) DEFAULT NULL,
`doctor_name` varchar(100) DEFAULT NULL,
`referral_doctor_name` varchar(100) DEFAULT NULL,
`referral_clinic_name` varchar(100) DEFAULT NULL,
`pic_id` int(11) unsigned DEFAULT NULL,
`pic_name` varchar(100) DEFAULT NULL,
`ig_id` int(11) unsigned DEFAULT NULL,
`ig_name` varchar(100) DEFAULT NULL,
`is_active` tinyint(1) NOT NULL DEFAULT '1',
`history_created_on` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`history_last_modified_on` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`created_on` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`created_by` int(11) unsigned NOT NULL DEFAULT '0',
`last_modified_on` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`last_modified_by` int(11) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`claim_history_id`),
KEY `idx_consultation_id` (`consultation_id`),
KEY `idx_card_number` (`member_id`,`card_number`),
KEY `idx_provider` (`facility_id`),
KEY `idx_soap_number` (`soap_number`),
KEY `idx_created_on` (`created_on`)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=latin1;
/** SQL QUERY **/
SELECT fields FROM claim_history
WHERE created_on BETWEEN '2017-01-01 00:00:00'
AND '2017-05-01 00:00:00';
The query you provided has a syntax error.
Dependent on the range you put into your query, the query optimiser might use the index or not.
Try a really short range like one day and then use one year, you'll probably already see the difference.
Check this thread for more details:
MySQL ignores my index on a timestamp column
I have a table that was inherited from a different system and one of the fields has the UUID function enabled so no matter what ID I generate and try to insert, the table creates a completely different one automatically.
I would like to use a PHP function to create the ID instead but I can't workout how to remove the UUID function from the field.
I am not sure what information will be needed to help you so please feel free to ask.
The field in question is
id, char(36)
Table definaition is..
CREATE TABLE `users` (
`id` char(36) NOT NULL,
`user_name` varchar(60) default NULL,
`user_hash` varchar(32) default NULL,
`diary_weekly_view` varchar(500) NOT NULL,
`week_start` date NOT NULL,
`diary_monthly_view` varchar(300) NOT NULL,
`diary_view` int(1) NOT NULL default '1',
`account_search` varchar(1000) NOT NULL,
`cases_search` varchar(500) NOT NULL,
`serials_search` varchar(500) NOT NULL,
`type` varchar(8) NOT NULL,
`email` varchar(255) NOT NULL,
`notes` varchar(3000) NOT NULL,
`authenticate_id` varchar(100) default NULL,
`sugar_login` tinyint(1) default '1',
`first_name` varchar(30) default NULL,
`last_name` varchar(30) default NULL,
`reports_to_id` char(36) default NULL,
`is_admin` tinyint(1) default '0',
`receive_notifications` tinyint(1) default '1',
`date_entered` datetime NOT NULL,
`date_modified` datetime NOT NULL,
`modified_user_id` char(36) default NULL,
`created_by` char(36) default NULL,
`phone_office` varchar(50) default NULL,
`phone_mobile` varchar(50) default NULL,
`status` varchar(25) default NULL,
`address_street` varchar(150) default NULL,
`address_city` varchar(100) default NULL,
`address_state` varchar(100) default NULL,
`address_country` varchar(25) default NULL,
`address_postalcode` varchar(9) default NULL,
`user_preferences` text,
`deleted` tinyint(1) NOT NULL default '0',
`portal_only` tinyint(1) default '0',
`employee_status` varchar(25) default NULL,
`is_group` tinyint(1) default '0',
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf
OK, sussed it, I removed the index and then recreated the index with INDEX
CREATE TABLE `t_keyword_stat_ga` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`keyword_id` int(11) DEFAULT NULL,
`targeturl_id` int(11) DEFAULT NULL,
`entrances` int(11) DEFAULT NULL,
`track_date` date DEFAULT NULL,
`traffic_date` date DEFAULT NULL,
`own_domain_id` int(11) DEFAULT NULL,
`medium` varchar(255) DEFAULT NULL,
`pageviews` int(11) DEFAULT NULL,
`exits` int(11) DEFAULT NULL,
`bounces` int(11) DEFAULT NULL,
`source` varchar(255) DEFAULT NULL,
KEY `id` (`id`),
KEY `traffic_date` (`traffic_date`),
KEY `FK_keywordStatGA_targeturl` (`targeturl_id`,`traffic_date`),
KEY `own_domain_id` (`own_domain_id`,`traffic_date`),
KEY `keyword_id` (`keyword_id`,`own_domain_id`,`traffic_date`)
) ENGINE=InnoDB AUTO_INCREMENT=1707411331 DEFAULT CHARSET=utf8;
CREATE TABLE `t_keyword_conversion_ga` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`own_domain_id` int(11) DEFAULT NULL,
`keyword_id` int(11) DEFAULT NULL,
`traffic_date` date DEFAULT NULL,
`targeturl_id` int(11) DEFAULT NULL,
`entrance` int(11) DEFAULT NULL,
`transactions` int(11) DEFAULT NULL,
`item_revenue` decimal(9,2) DEFAULT NULL,
`goal1completions` int(11) DEFAULT NULL,
`goal2completions` int(11) DEFAULT NULL,
`goal3completions` int(11) DEFAULT NULL,
`goal4completions` int(11) DEFAULT NULL,
`goal5completions` int(11) DEFAULT NULL,
`goal6completions` int(11) DEFAULT NULL,
`goal7completions` int(11) DEFAULT NULL,
`goal8completions` int(11) DEFAULT NULL,
`goal9completions` int(11) DEFAULT NULL,
`goal10completions` int(11) DEFAULT NULL,
`goal1Value` decimal(9,2) DEFAULT NULL,
`goal2Value` decimal(9,2) DEFAULT NULL,
`goal3Value` decimal(9,2) DEFAULT NULL,
`goal4Value` decimal(9,2) DEFAULT NULL,
`goal5Value` decimal(9,2) DEFAULT NULL,
`goal6Value` decimal(9,2) DEFAULT NULL,
`goal7Value` decimal(9,2) DEFAULT NULL,
`goal8Value` decimal(9,2) DEFAULT NULL,
`goal9Value` decimal(9,2) DEFAULT NULL,
`goal10Value` decimal(9,2) DEFAULT NULL,
`medium` varchar(255) DEFAULT NULL,
`source` varchar(255) DEFAULT NULL,
KEY `id` (`id`),
KEY `keyword_id` (`keyword_id`),
KEY `traffic_date` (`traffic_date`),
KEY `own_domain_id` (`own_domain_id`,`traffic_date`),
KEY `targeturl_id` (`targeturl_id`)
) ENGINE=InnoDB AUTO_INCREMENT=526248221 DEFAULT CHARSET=utf8;
i have a tables like _keyword_Stat_ga and t_keyword_Stat_conversion
I Need to export all data after October 31 2011 from the t_keyword_Stat_ga
and t_keyword_Stat_conversion tables.
Import the backup into a ICE instance (for maximum compression) or an ARCHIVE table.
Need to drop the partitions in DB1 on the above tables through October 2011
We then need a before and after summary of disk usage