Météo Bickerstaff Saint James Jamaïque

Execution Time Init WSP ...: 0 Seconds
Execution Time End Init WSP: 0.022 Seconds

Execution Time Create Page ...: 0.022 Seconds
Execution Time End Create Page: 0.022 Seconds

Execution Time InitializeComponent ...: 0.022 Seconds
Execution Time End InitializeComponent ...: 0.022 Seconds

Execution Time Load ...: 0.022 Seconds
SELECT DISTINCT c.city_code, c.latitude, c.longitude, c.format_name, c.name, c.name_fr, c.population, c.elevation, lc.region_name, lc.latitude_30, lc.longitude_30, lc.population_30, lc.latitude_120, lc.longitude_120, lc.population_120, lc.is_proximity_city, c.is_geonames_data, c.parent_city_code, c.is_duplicate_url_detected, c.is_histo_rate_migrate, r.code_region, r.is_geoname_data, r.big_geoname_id, r.name_fr, c.pic_json, c.pic_json_validated, c.nb_news FROM geo_db_us.us_link_city lc INNER JOIN geo_db_us.us_city2 c ON c.city_code=lc.city_code INNER JOIN geo_db.region r ON r.code_country=c.country_code AND r.code_region=c.code_region WHERE lc.ctr = 'jm' AND lc.ctr IN ('AG','AR','BS','BB','BZ','BO','BR','CA','CL','CO','CR','CU','DO','DM','EC','US','GD','GT','GY','HT','HN','JM','MX','NI','PA','PY','PE','KN','LC','VC','SV','SR','TT','UY','VE','MQ','GP','GF','BM','AI','AW','KY','FK','GS','GL','VG','MS','PM') AND lc.region = 'saint-james' AND lc.city = 'bickerstaff' [Execution Time: 0.001 Seconds]
SELECT `us_proximity_city`.`city_code`, `us_proximity_city`.`city_code_1`, `us_proximity_city`.`city_1`, `us_proximity_city`.`region_1`, `us_proximity_city`.`city_code_2`, `us_proximity_city`.`city_2`, `us_proximity_city`.`region_2`, `us_proximity_city`.`city_code_3`, `us_proximity_city`.`city_3`, `us_proximity_city`.`region_3`, `us_proximity_city`.`city_code_4`, `us_proximity_city`.`city_4`, `us_proximity_city`.`region_4`, `us_proximity_city`.`city_code_5`, `us_proximity_city`.`city_5`, `us_proximity_city`.`region_5`, `us_proximity_city`.`city_code_6`, `us_proximity_city`.`city_6`, `us_proximity_city`.`region_6`, `us_proximity_city`.`city_code_7`, `us_proximity_city`.`city_7`, `us_proximity_city`.`region_7`, `us_proximity_city`.`city_code_8`, `us_proximity_city`.`city_8`, `us_proximity_city`.`region_8`, `us_proximity_city`.`city_code_9`, `us_proximity_city`.`city_9`, `us_proximity_city`.`region_9`, `us_proximity_city`.`city_code_10`, `us_proximity_city`.`city_10`, `us_proximity_city`.`region_10`, `us_proximity_city`.`city_code_11`, `us_proximity_city`.`city_11`, `us_proximity_city`.`region_11`, `us_proximity_city`.`city_code_12`, `us_proximity_city`.`city_12`, `us_proximity_city`.`region_12`, `us_proximity_city`.`city_code_13`, `us_proximity_city`.`city_13`, `us_proximity_city`.`region_13`, `us_proximity_city`.`city_code_14`, `us_proximity_city`.`city_14`, `us_proximity_city`.`region_14`, `us_proximity_city`.`city_code_15`, `us_proximity_city`.`city_15`, `us_proximity_city`.`region_15`, `us_proximity_city`.`city_code_16`, `us_proximity_city`.`city_16`, `us_proximity_city`.`region_16`, `us_proximity_city`.`city_code_17`, `us_proximity_city`.`city_17`, `us_proximity_city`.`region_17`, `us_proximity_city`.`city_code_18`, `us_proximity_city`.`city_18`, `us_proximity_city`.`region_18`, `us_proximity_city`.`city_code_19`, `us_proximity_city`.`city_19`, `us_proximity_city`.`region_19`, `us_proximity_city`.`city_code_20`, `us_proximity_city`.`city_20`, `us_proximity_city`.`region_20`, `us_proximity_city`.`city_code_21`, `us_proximity_city`.`city_21`, `us_proximity_city`.`region_21` FROM `geo_db_us`.`us_proximity_city` WHERE city_code='1198575' [Execution Time: 0.001 Seconds]
SELECT city_code, name_fr FROM geo_db_us.us_city2 WHERE city_code IN (1198576,1200545,1199957,1200407,1198778,1200440,1199992,1200565,1199983,1199542,1198537,1199138,1198395,1198761,1198622,1198543,1199398,1198758,1199478,1198749,1199447) [Execution Time: 0.001 Seconds]
SELECT `us_proximity_city`.`city_code`, `us_proximity_city`.`city_code_1`, `us_proximity_city`.`city_1`, `us_proximity_city`.`region_1`, `us_proximity_city`.`city_code_2`, `us_proximity_city`.`city_2`, `us_proximity_city`.`region_2`, `us_proximity_city`.`city_code_3`, `us_proximity_city`.`city_3`, `us_proximity_city`.`region_3`, `us_proximity_city`.`city_code_4`, `us_proximity_city`.`city_4`, `us_proximity_city`.`region_4`, `us_proximity_city`.`city_code_5`, `us_proximity_city`.`city_5`, `us_proximity_city`.`region_5`, `us_proximity_city`.`city_code_6`, `us_proximity_city`.`city_6`, `us_proximity_city`.`region_6`, `us_proximity_city`.`city_code_7`, `us_proximity_city`.`city_7`, `us_proximity_city`.`region_7`, `us_proximity_city`.`city_code_8`, `us_proximity_city`.`city_8`, `us_proximity_city`.`region_8`, `us_proximity_city`.`city_code_9`, `us_proximity_city`.`city_9`, `us_proximity_city`.`region_9`, `us_proximity_city`.`city_code_10`, `us_proximity_city`.`city_10`, `us_proximity_city`.`region_10`, `us_proximity_city`.`city_code_11`, `us_proximity_city`.`city_11`, `us_proximity_city`.`region_11`, `us_proximity_city`.`city_code_12`, `us_proximity_city`.`city_12`, `us_proximity_city`.`region_12`, `us_proximity_city`.`city_code_13`, `us_proximity_city`.`city_13`, `us_proximity_city`.`region_13`, `us_proximity_city`.`city_code_14`, `us_proximity_city`.`city_14`, `us_proximity_city`.`region_14`, `us_proximity_city`.`city_code_15`, `us_proximity_city`.`city_15`, `us_proximity_city`.`region_15`, `us_proximity_city`.`city_code_16`, `us_proximity_city`.`city_16`, `us_proximity_city`.`region_16`, `us_proximity_city`.`city_code_17`, `us_proximity_city`.`city_17`, `us_proximity_city`.`region_17`, `us_proximity_city`.`city_code_18`, `us_proximity_city`.`city_18`, `us_proximity_city`.`region_18`, `us_proximity_city`.`city_code_19`, `us_proximity_city`.`city_19`, `us_proximity_city`.`region_19`, `us_proximity_city`.`city_code_20`, `us_proximity_city`.`city_20`, `us_proximity_city`.`region_20`, `us_proximity_city`.`city_code_21`, `us_proximity_city`.`city_21`, `us_proximity_city`.`region_21` FROM `geo_db_us`.`us_proximity_city` WHERE city_code='1198575' [Execution Time: 0 Seconds]
SELECT COUNT(*) FROM `meteo_us`.`us_news` WHERE code_ville in (1198575, 1198576, 1200545, 1199957, 1200407, 1198778, 1200440, 1199992, 1200565, 1199983, 1199542, 1198537, 1199138, 1198395, 1198761, 1198622, 1198543, 1199398, 1198758, 1199478, 1198749, 1199447) [Execution Time: 0.024 Seconds]
SELECT `us_proximity_city`.`city_code`, `us_proximity_city`.`city_code_1`, `us_proximity_city`.`city_1`, `us_proximity_city`.`region_1`, `us_proximity_city`.`city_code_2`, `us_proximity_city`.`city_2`, `us_proximity_city`.`region_2`, `us_proximity_city`.`city_code_3`, `us_proximity_city`.`city_3`, `us_proximity_city`.`region_3`, `us_proximity_city`.`city_code_4`, `us_proximity_city`.`city_4`, `us_proximity_city`.`region_4`, `us_proximity_city`.`city_code_5`, `us_proximity_city`.`city_5`, `us_proximity_city`.`region_5`, `us_proximity_city`.`city_code_6`, `us_proximity_city`.`city_6`, `us_proximity_city`.`region_6`, `us_proximity_city`.`city_code_7`, `us_proximity_city`.`city_7`, `us_proximity_city`.`region_7`, `us_proximity_city`.`city_code_8`, `us_proximity_city`.`city_8`, `us_proximity_city`.`region_8`, `us_proximity_city`.`city_code_9`, `us_proximity_city`.`city_9`, `us_proximity_city`.`region_9`, `us_proximity_city`.`city_code_10`, `us_proximity_city`.`city_10`, `us_proximity_city`.`region_10`, `us_proximity_city`.`city_code_11`, `us_proximity_city`.`city_11`, `us_proximity_city`.`region_11`, `us_proximity_city`.`city_code_12`, `us_proximity_city`.`city_12`, `us_proximity_city`.`region_12`, `us_proximity_city`.`city_code_13`, `us_proximity_city`.`city_13`, `us_proximity_city`.`region_13`, `us_proximity_city`.`city_code_14`, `us_proximity_city`.`city_14`, `us_proximity_city`.`region_14`, `us_proximity_city`.`city_code_15`, `us_proximity_city`.`city_15`, `us_proximity_city`.`region_15`, `us_proximity_city`.`city_code_16`, `us_proximity_city`.`city_16`, `us_proximity_city`.`region_16`, `us_proximity_city`.`city_code_17`, `us_proximity_city`.`city_17`, `us_proximity_city`.`region_17`, `us_proximity_city`.`city_code_18`, `us_proximity_city`.`city_18`, `us_proximity_city`.`region_18`, `us_proximity_city`.`city_code_19`, `us_proximity_city`.`city_19`, `us_proximity_city`.`region_19`, `us_proximity_city`.`city_code_20`, `us_proximity_city`.`city_20`, `us_proximity_city`.`region_20`, `us_proximity_city`.`city_code_21`, `us_proximity_city`.`city_21`, `us_proximity_city`.`region_21` FROM `geo_db_us`.`us_proximity_city` WHERE city_code='1198575' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_us`.`us_news` WHERE code_ville in (1198575, 1198576, 1200545, 1199957, 1200407, 1198778, 1200440, 1199992, 1200565, 1199983, 1199542, 1198537, 1199138, 1198395, 1198761, 1198622, 1198543, 1199398, 1198758, 1199478, 1198749, 1199447) [Execution Time: 0 Seconds]
replace into meteo_us.us_meteo_histo values (17.99107, -76.95742, curdate(), 'Partly Cloudy ', '24', '30', '27', '86', '0.0', 'NNE', '4', '17:57', '06:03', '', '0', '0') [Execution Time: 0 Seconds]
SELECT `nameday`.`country_code`, `nameday`.`month`, `nameday`.`day`, `nameday`.`name` FROM `meteo`.`nameday` WHERE country_code='FR' AND month=10 AND day=19 [Execution Time: 0 Seconds]
Execution Time End Load ...: 0.143 Seconds

Execution Time Variables ...: 0.143 Seconds
Execution Time End Variables: 0.143 Seconds

Execution Time Callback ...: 0.143 Seconds
Execution Time End Callback: 0.143 Seconds

Execution Time Loaded ...: 0.143 Seconds
Execution Time End Loaded: 0.143 Seconds

Execution Time Page Header ...: 0.143 Seconds
Execution Time End Page Header ...: 0.143 Seconds

Execution Time Render ...: 0.143 Seconds

Météo Bickerstaff

Météo à 15 jours Bickerstaff

Météo Bickersteth

Météo Seven Rivers

Météo Montpelier

Météo Roehampton

Météo Carey Town

Météo Roxbro

Météo Mount Horeb

Météo Shettlewood

Météo Mount Carey

Météo Hopeton

Météo Belvedere

Météo Elysium

Météo Anchovy Station

Météo Cambridge Station

Météo Bonavista

Météo Belvidere House

Météo Greenwich House

Météo Cambridge

Météo Haughton Grove

Météo Caledonia

Météo Hampton