2026年08月02日 Sunday Focus on Cross-border Investment in Malaysia and Southeast Asia
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Extreme Climate Hits Global Breadbaskets, Soaring Grain Prices Trigger Inflation Ripple Effects

Extreme Climate Hits Global Breadbaskets, Soaring Grain Prices Trigger Inflation Ripple Effects

In the final week of July 2026, global food markets experienced severe turbulence. The Cereal Price Index released by the Food and Agriculture Organization (FAO) of the United Nations jumped 8.3% in a single week, the largest weekly gain in nearly two decades. Wheat futures soared to $11.80 per bushel on the Chicago Board of Trade (CBOT), while corn and soybeans also rallied sharply, accumulating gains of more than 20% within a month. Behind this grain price surge lies a rare confluence of extreme climate events striking multiple major breadbaskets across the Northern Hemisphere, quietly heralding a global food supply crisis.

Extreme Weather Strikes in Succession, Global Breadbaskets Sound Alarm

This summer's climate anomalies have drawn particular attention. In early July, the U.S. Corn Belt, which should have been entering the pollination stage, was hit by three consecutive weeks of heat waves, with maximum temperatures frequently exceeding 45°C (113°F) and soil moisture falling to historic lows. The U.S. Department of Agriculture (USDA) crop condition report showed corn good-to-excellent ratings down 22 percentage points year over year, the worst showing since the 2012 drought. Meanwhile, France and Germany, Europe's major wheat-producing regions, were plunged into unusually severe rainstorms and flooding, with numerous wheat fields submerged and harvest prospects shrouded in gloom.

The Southern Hemisphere was not spared. Argentina's Pampas grasslands are experiencing a fourth consecutive year of La Niña, with rainfall down about 40% from normal, forcing soybean planting area to shrink to its lowest in nearly a decade. Brazil's central-western sugarcane region, meanwhile, was hit by frost, sharply reducing sugar content and sending global sugar prices surging to a record $0.32 per pound.

Meteorologists note that Arctic sea ice extent hit a record low for July, and unusual fluctuations in the jet stream caused weather systems to become "locked" over specific regions, creating an extreme-weather "anchoring effect" lasting for weeks. This pattern has persisted longer than in any previous year, dramatically increasing the unpredictability of agricultural production.

Grain Price Transmission Mechanism Kicks In, Inflation Shadow Looms Again

The rise in food prices is not an isolated event but is rapidly spreading through the supply chain. For feed corn, for example, its surging prices directly raise livestock production costs. Tyson Foods, the largest U.S. meat processor, has announced that it will raise wholesale beef and pork prices by 12% starting next quarter. An internal memo from Cargill, the world's largest grain trader, shows that raw-material cost pressures in the food processing industry are building at a pace "not seen in the past decade."

Food items in consumer price indexes (CPIs) worldwide will bear the brunt. The latest inflation forecasting model from the Organisation for Economic Co-operation and Development (OECD) shows that for every 10% rise in food prices, global CPI will increase by an average of 0.6 percentage points within three months. For developed countries, this means the hard-won cooling of U.S. and European inflation could reverse; for emerging markets, where food accounts for 30% to 40% of consumer spending, the price pressure will be even more severe.

The chief economist of the International Monetary Fund (IMF) warned in an interview with the Financial Times: "Food security is one of the most fragile links in the global economy today. If grain prices remain elevated, central banks' rate-hike paths will be forced to extend, further increasing the risk of recession." His remarks echoed the IMF's just-released World Economic Outlook, which has already downgraded global growth for 2026 to 3.2%.

Policy Responses Face Tough Choices; Export Controls Could Fuel the Fire

Faced with runaway grain prices, national policy responses have diverged sharply. Some net food-importing countries, such as Egypt and Indonesia, have rushed to launch emergency procurement plans and release strategic grain reserves to stabilize domestic prices. However, major grain exporters may resort to more protectionist measures—Russia has reportedly been considering a temporary tariff on wheat exports, and India is evaluating whether to reimpose a ban on rice exports.

Historical experience shows that export controls only heighten panic in global markets. During the food crises of 2008 and 2010, international grain prices surged by 30% to 50% in the short term after several countries imposed export bans. The United Nations Conference on Trade and Development (UNCTAD) has called on countries to avoid "beggar-thy-neighbor" food policies and instead stabilize supply and demand through multilateral cooperation. But with geopolitical rivalry intensifying, whether that call will be heeded remains to be seen.

Food Security Concerns Intensify, Investment Opportunities Emerge

Although soaring grain prices pose a threat to the global economy, they also create investment opportunities in certain sectors. First, upstream agricultural companies—such as seed and agrochemical suppliers like Bayer and Corteva—are seeing visibly stronger order backlogs, as high grain prices encourage farmers to expand planting. Second, fertilizer and agricultural technology stocks also have room to perform; in particular, genetically modified seed companies specializing in water-saving and drought-resistant traits are likely to benefit from rising demand for stress-tolerant crops under extreme climate conditions.

From an asset-allocation perspective, agricultural commodity futures and Treasury Inflation-Protected Securities (TIPS) have become popular tools for institutional investors hedging against inflation risk. In BlackRock's latest asset allocation report, the weighting for agricultural commodities was raised from "neutral" to "overweight," on the grounds that "the supply-side impact of climate change is not a short-term phenomenon but a structural shift." Analysts, however, also caution that grain prices are highly volatile, so investors should use options and other derivatives to control risk and avoid excessive exposure.

In the long term, the global food system is under the triple pressure of climate change, population growth, and land degradation. According to UN estimates, global food production must increase by 60% by 2050 to meet demand. This food crisis not only reflects the current supply-demand imbalance but also underscores the importance of investing in agricultural technology, sustainable farming methods, and smart irrigation. If governments and private capital can accelerate transformation amid the crisis, they may find a more resilient path forward for global food security.

From an investment perspective, the themes stemming from higher grain prices—from upstream agricultural inputs, midstream processing, to downstream food distribution—offer targets worth exploring in depth. However, geopolitical uncertainty and policy shifts cannot be ignored. Risk management should always come first when chasing returns. This climate-triggered food storm is testing investors' wisdom and discipline.

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  1. CONNECT:[ UseTime:0.001154s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.004105s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001017s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.003747s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000976s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.003861s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'maju' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000959s ]
  8. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.006762s ]
  9. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001794s ]
  10. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.005168s ]
  11. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 37 AND ( ( LOWER(name) = 'en' ) OR `subtag` = 'en' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001836s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.006861s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 37 AND `name` = 'global-food-price-surge-climate-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.004124s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6050' OR `id` = '6050' ) AND `subsite_id` = 37 LIMIT 1 [ RunTime:0.010326s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.004078s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.002158s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6050' LIMIT 1 [ RunTime:0.001201s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.003376s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6050' LIMIT 1 [ RunTime:0.001423s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.003441s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002689s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '6050' [ RunTime:0.008585s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003430s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.003913s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.003204s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '37' AND `category_id` = '1434' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000914s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6050' LIMIT 1 [ RunTime:0.001100s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6050' [ RunTime:0.001975s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.007287s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '37' AND `type` = 'article' AND `url` = 'https://www.setmal.asia/global-food-price-surge-climate-2026' AND `create_time` >= 1785603048 AND ( `visitor_id` = 'c9e90fb3c3f06f71c332fc39f23262b3' OR `session_id` = '47053e911e9b28184c2eec65500c746c' ) LIMIT 1 [ RunTime:0.003377s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '37' , `uid` = '0' , `visitor_id` = 'c9e90fb3c3f06f71c332fc39f23262b3' , `session_id` = '47053e911e9b28184c2eec65500c746c' , `type` = 'article' , `target_id` = '6050' , `target_type` = 0 , `category_id` = '1434' , `title` = 'Extreme Climate Hits Global Breadbaskets, Soaring Grain Prices Trigger Inflation Ripple Effects' , `url` = 'https://www.setmal.asia/global-food-price-surge-climate-2026' , `path` = '/global-food-price-surge-climate-2026' , `query_string` = '' , `referer` = '' , `referer_domain` = '' , `source_type` = 'direct' , `source_domain` = '' , `search_engine` = '' , `search_keyword` = '' , `utm_source` = '' , `utm_medium` = '' , `utm_campaign` = '' , `utm_term` = '' , `utm_content` = '' , `ip` = '216.73.216.111' , `user_agent` = 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)' , `device_type` = 'pc' , `browser` = '其他' , `browser_version` = '' , `os` = '其他' , `os_version` = '' , `language` = '' , `is_spider` = 0 , `spider_name` = '' , `status_code` = 200 , `country` = '' , `province` = '' , `city` = '' , `district` = '' , `isp` = '' , `region_code` = '' , `geo_status` = 0 , `geo_time` = 0 , `create_time` = 1785603108 , `update_time` = 1785603108 [ RunTime:0.004150s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.005003s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6050' AND `pid` = '0' [ RunTime:0.001147s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.006079s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','37') AND `status` = 1 [ RunTime:0.001547s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.003847s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.003479s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.003369s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.003692s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.004031s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.003900s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.003300s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.004121s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.003791s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.003662s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.004204s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.003365s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.003446s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.003377s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.003526s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.003734s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.003795s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.003172s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.003383s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.003370s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.003280s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.003679s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.003122s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 6050 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001363s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.003037s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 6050 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001176s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.002880s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 6050 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001204s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.002641s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 6050 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.003035s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.007414s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 6050 AND `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.003686s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.006300s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 6050 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.002020s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.003732s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 6050 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001123s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.003302s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 6050 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001110s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.003061s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 6050 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001074s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.003686s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 6050 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001244s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.003092s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 6050 AND `subsite_id` = '37' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001111s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6050) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001975s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '5997' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001621s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '5997' [ RunTime:0.007947s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '6050' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001956s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6050) or ( sort = 0 and id > 6050) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001849s ]
  85. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001367s ]
  86. SELECT * FROM `g3ys_total` WHERE `target_id` = '6050' LIMIT 1 [ RunTime:0.000944s ]
  87. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000975s ]
  88. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001042s ]
  89. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001091s ]
  90. SELECT * FROM `g3ys_total` WHERE `target_id` = '5823' LIMIT 1 [ RunTime:0.000846s ]
  91. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000876s ]
  92. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000850s ]
  93. SELECT * FROM `g3ys_total` WHERE `target_id` = '5805' LIMIT 1 [ RunTime:0.000780s ]
  94. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000864s ]
  95. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000926s ]
  96. SELECT * FROM `g3ys_total` WHERE `target_id` = '5779' LIMIT 1 [ RunTime:0.000857s ]
  97. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000816s ]
  98. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001025s ]
  99. SELECT * FROM `g3ys_total` WHERE `target_id` = '5773' LIMIT 1 [ RunTime:0.000818s ]
  100. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000908s ]
  101. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000934s ]
  102. SELECT * FROM `g3ys_total` WHERE `target_id` = '5683' LIMIT 1 [ RunTime:0.000755s ]
  103. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000923s ]
  104. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000956s ]
  105. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000839s ]
  106. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001138s ]
  107. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000856s ]
  108. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000872s ]
  109. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000948s ]
  110. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000837s ]
  111. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000855s ]
  112. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000858s ]
  113. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.003676s ]
  114. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.004227s ]
  115. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.002597s ]
  116. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (364,363,361,359,358,357,356,355,354,353,352,351,350,349,348) AND `subsite_id` = 37 AND `lang` = 'en' [ RunTime:0.001529s ]
  117. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000884s ]
  118. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '37' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000798s ]
0.787371s