Weather Goth Bilāwal Khān Marri Sindh Pakistan

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SELECT DISTINCT c.city_code, c.latitude, c.longitude, c.format_name, c.name, c.name_en, 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_en, c.pic_json, c.pic_json_validated, c.nb_news FROM geo_db_cn.cn_link_city lc INNER JOIN geo_db_cn.cn_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 = 'pk' AND lc.ctr IN ('ID','AE','AF','AM','AZ','BH','BT','CN','GE','IL','IN','BD','TW','UZ','IQ','IR','JO','JP','KG','KH','KR','KW','KZ','LA','LB','MM','KP','VN','YE','MN','MO','MY','OM','PH','PK','QA','SA','SY','TH','TM','TR','MV','HK','MY','NP','PS','TL','TJ','LK','SG') AND lc.region = 'sindh' AND lc.city = 'goth-bilawal-khan-marri' [Execution Time: 0.001 Seconds]
SELECT `cn_proximity_city`.`city_code`, `cn_proximity_city`.`city_code_1`, `cn_proximity_city`.`city_1`, `cn_proximity_city`.`region_1`, `cn_proximity_city`.`city_code_2`, `cn_proximity_city`.`city_2`, `cn_proximity_city`.`region_2`, `cn_proximity_city`.`city_code_3`, `cn_proximity_city`.`city_3`, `cn_proximity_city`.`region_3`, `cn_proximity_city`.`city_code_4`, `cn_proximity_city`.`city_4`, `cn_proximity_city`.`region_4`, `cn_proximity_city`.`city_code_5`, `cn_proximity_city`.`city_5`, `cn_proximity_city`.`region_5`, `cn_proximity_city`.`city_code_6`, `cn_proximity_city`.`city_6`, `cn_proximity_city`.`region_6`, `cn_proximity_city`.`city_code_7`, `cn_proximity_city`.`city_7`, `cn_proximity_city`.`region_7`, `cn_proximity_city`.`city_code_8`, `cn_proximity_city`.`city_8`, `cn_proximity_city`.`region_8`, `cn_proximity_city`.`city_code_9`, `cn_proximity_city`.`city_9`, `cn_proximity_city`.`region_9`, `cn_proximity_city`.`city_code_10`, `cn_proximity_city`.`city_10`, `cn_proximity_city`.`region_10`, `cn_proximity_city`.`city_code_11`, `cn_proximity_city`.`city_11`, `cn_proximity_city`.`region_11`, `cn_proximity_city`.`city_code_12`, `cn_proximity_city`.`city_12`, `cn_proximity_city`.`region_12`, `cn_proximity_city`.`city_code_13`, `cn_proximity_city`.`city_13`, `cn_proximity_city`.`region_13`, `cn_proximity_city`.`city_code_14`, `cn_proximity_city`.`city_14`, `cn_proximity_city`.`region_14`, `cn_proximity_city`.`city_code_15`, `cn_proximity_city`.`city_15`, `cn_proximity_city`.`region_15`, `cn_proximity_city`.`city_code_16`, `cn_proximity_city`.`city_16`, `cn_proximity_city`.`region_16`, `cn_proximity_city`.`city_code_17`, `cn_proximity_city`.`city_17`, `cn_proximity_city`.`region_17`, `cn_proximity_city`.`city_code_18`, `cn_proximity_city`.`city_18`, `cn_proximity_city`.`region_18`, `cn_proximity_city`.`city_code_19`, `cn_proximity_city`.`city_19`, `cn_proximity_city`.`region_19`, `cn_proximity_city`.`city_code_20`, `cn_proximity_city`.`city_20`, `cn_proximity_city`.`region_20`, `cn_proximity_city`.`city_code_21`, `cn_proximity_city`.`city_21`, `cn_proximity_city`.`region_21` FROM `geo_db_cn`.`cn_proximity_city` WHERE city_code='1800022' [Execution Time: 0.001 Seconds]
SELECT city_code, name_en FROM geo_db_cn.cn_city2 WHERE city_code IN (1800860,1799882,1802922,1800863,1803418,1800456,1800973,1835571,1800349,1800798,1799820,1800881) [Execution Time: 0 Seconds]
SELECT `cn_proximity_city`.`city_code`, `cn_proximity_city`.`city_code_1`, `cn_proximity_city`.`city_1`, `cn_proximity_city`.`region_1`, `cn_proximity_city`.`city_code_2`, `cn_proximity_city`.`city_2`, `cn_proximity_city`.`region_2`, `cn_proximity_city`.`city_code_3`, `cn_proximity_city`.`city_3`, `cn_proximity_city`.`region_3`, `cn_proximity_city`.`city_code_4`, `cn_proximity_city`.`city_4`, `cn_proximity_city`.`region_4`, `cn_proximity_city`.`city_code_5`, `cn_proximity_city`.`city_5`, `cn_proximity_city`.`region_5`, `cn_proximity_city`.`city_code_6`, `cn_proximity_city`.`city_6`, `cn_proximity_city`.`region_6`, `cn_proximity_city`.`city_code_7`, `cn_proximity_city`.`city_7`, `cn_proximity_city`.`region_7`, `cn_proximity_city`.`city_code_8`, `cn_proximity_city`.`city_8`, `cn_proximity_city`.`region_8`, `cn_proximity_city`.`city_code_9`, `cn_proximity_city`.`city_9`, `cn_proximity_city`.`region_9`, `cn_proximity_city`.`city_code_10`, `cn_proximity_city`.`city_10`, `cn_proximity_city`.`region_10`, `cn_proximity_city`.`city_code_11`, `cn_proximity_city`.`city_11`, `cn_proximity_city`.`region_11`, `cn_proximity_city`.`city_code_12`, `cn_proximity_city`.`city_12`, `cn_proximity_city`.`region_12`, `cn_proximity_city`.`city_code_13`, `cn_proximity_city`.`city_13`, `cn_proximity_city`.`region_13`, `cn_proximity_city`.`city_code_14`, `cn_proximity_city`.`city_14`, `cn_proximity_city`.`region_14`, `cn_proximity_city`.`city_code_15`, `cn_proximity_city`.`city_15`, `cn_proximity_city`.`region_15`, `cn_proximity_city`.`city_code_16`, `cn_proximity_city`.`city_16`, `cn_proximity_city`.`region_16`, `cn_proximity_city`.`city_code_17`, `cn_proximity_city`.`city_17`, `cn_proximity_city`.`region_17`, `cn_proximity_city`.`city_code_18`, `cn_proximity_city`.`city_18`, `cn_proximity_city`.`region_18`, `cn_proximity_city`.`city_code_19`, `cn_proximity_city`.`city_19`, `cn_proximity_city`.`region_19`, `cn_proximity_city`.`city_code_20`, `cn_proximity_city`.`city_20`, `cn_proximity_city`.`region_20`, `cn_proximity_city`.`city_code_21`, `cn_proximity_city`.`city_21`, `cn_proximity_city`.`region_21` FROM `geo_db_cn`.`cn_proximity_city` WHERE city_code='1800022' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_cn`.`cn_news` WHERE code_ville in (1800022, 1800860, 1799882, 1802922, 1800863, 1803418, 1800456, 1800973, 1835571, 1800349, 1800798, 1799820, 1800881) [Execution Time: 0 Seconds]
SELECT `cn_proximity_city`.`city_code`, `cn_proximity_city`.`city_code_1`, `cn_proximity_city`.`city_1`, `cn_proximity_city`.`region_1`, `cn_proximity_city`.`city_code_2`, `cn_proximity_city`.`city_2`, `cn_proximity_city`.`region_2`, `cn_proximity_city`.`city_code_3`, `cn_proximity_city`.`city_3`, `cn_proximity_city`.`region_3`, `cn_proximity_city`.`city_code_4`, `cn_proximity_city`.`city_4`, `cn_proximity_city`.`region_4`, `cn_proximity_city`.`city_code_5`, `cn_proximity_city`.`city_5`, `cn_proximity_city`.`region_5`, `cn_proximity_city`.`city_code_6`, `cn_proximity_city`.`city_6`, `cn_proximity_city`.`region_6`, `cn_proximity_city`.`city_code_7`, `cn_proximity_city`.`city_7`, `cn_proximity_city`.`region_7`, `cn_proximity_city`.`city_code_8`, `cn_proximity_city`.`city_8`, `cn_proximity_city`.`region_8`, `cn_proximity_city`.`city_code_9`, `cn_proximity_city`.`city_9`, `cn_proximity_city`.`region_9`, `cn_proximity_city`.`city_code_10`, `cn_proximity_city`.`city_10`, `cn_proximity_city`.`region_10`, `cn_proximity_city`.`city_code_11`, `cn_proximity_city`.`city_11`, `cn_proximity_city`.`region_11`, `cn_proximity_city`.`city_code_12`, `cn_proximity_city`.`city_12`, `cn_proximity_city`.`region_12`, `cn_proximity_city`.`city_code_13`, `cn_proximity_city`.`city_13`, `cn_proximity_city`.`region_13`, `cn_proximity_city`.`city_code_14`, `cn_proximity_city`.`city_14`, `cn_proximity_city`.`region_14`, `cn_proximity_city`.`city_code_15`, `cn_proximity_city`.`city_15`, `cn_proximity_city`.`region_15`, `cn_proximity_city`.`city_code_16`, `cn_proximity_city`.`city_16`, `cn_proximity_city`.`region_16`, `cn_proximity_city`.`city_code_17`, `cn_proximity_city`.`city_17`, `cn_proximity_city`.`region_17`, `cn_proximity_city`.`city_code_18`, `cn_proximity_city`.`city_18`, `cn_proximity_city`.`region_18`, `cn_proximity_city`.`city_code_19`, `cn_proximity_city`.`city_19`, `cn_proximity_city`.`region_19`, `cn_proximity_city`.`city_code_20`, `cn_proximity_city`.`city_20`, `cn_proximity_city`.`region_20`, `cn_proximity_city`.`city_code_21`, `cn_proximity_city`.`city_21`, `cn_proximity_city`.`region_21` FROM `geo_db_cn`.`cn_proximity_city` WHERE city_code='1800022' [Execution Time: 0.001 Seconds]
SELECT COUNT(*) FROM `meteo_cn`.`cn_news` WHERE code_ville in (1800022, 1800860, 1799882, 1802922, 1800863, 1803418, 1800456, 1800973, 1835571, 1800349, 1800798, 1799820, 1800881) [Execution Time: 0 Seconds]
replace into meteo_cn.cn_meteo_histo values (25.39242, 68.37366, curdate(), 'Clear ', '29', '40', '0', '49', '0.0', 'WSW', '15', '19:18', '08:20', '', '0', '0') [Execution Time: 0 Seconds]
SELECT `nameday`.`country_code`, `nameday`.`month`, `nameday`.`day`, `nameday`.`name` FROM `meteo`.`nameday` WHERE country_code='EN' AND month=10 AND day=19 [Execution Time: 0 Seconds]
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Execution Time Callback ...: 0.122 Seconds
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Execution Time Loaded ...: 0.122 Seconds
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Execution Time Render ...: 0.122 Seconds

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