2026年08月14日 Friday Focus on Cross-border Investment in Malaysia and Southeast Asia
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Global Capital Shift: New Asset Allocation Landscape in August 2026

Global Capital Shift: New Asset Allocation Landscape in August 2026

Global Capital Shift: New Asset Allocation Landscape in August 2026

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In August 2026, global financial markets are experiencing a profound capital reallocation. As economic landscapes evolve and investor risk preferences shift, global capital flows have changed significantly, moving from traditional safe-haven assets to emerging technology and green energy sectors, reshaping the global asset allocation landscape. This transformation not only affects the price trends of various assets but will also have far-reaching implications for investment strategies in the coming years.

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Overall Trends in Global Capital Flows

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According to the latest data, global capital flows in August 2026 exhibit a clear "dual-track" characteristic. On one hand, traditional safe-haven assets such as US Treasuries and Japanese bonds continue to face capital outflows, while on the other hand, emerging market bonds, technology stocks, and green energy-related assets are attracting significant capital inflows. This shift reflects the uneven nature of the global economic recovery and investors' reassessment of future growth expectations.

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Notably, this capital reallocation is not a short-term fluctuation but the beginning of a structural transformation. As monetary policies of major global central banks diverge and geopolitical landscapes evolve, changes in capital flows may persist for years and will reshape the fundamental logic of global asset allocation.

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Analysis of Capital Flows by Asset Class

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Stock Markets: Technology and Green Energy Sectors in Focus

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In the stock market, capital flows show a clear divergence. Traditional industry sectors such as energy, finance, and consumer goods continue to experience capital outflows, while technology and green energy-related stocks have become the focus of capital chasing. According to statistics, in the first two weeks of August 2026, global technology stocks saw net inflows of $48 billion, reaching a two-year high. Among these, the capital inflows in artificial intelligence, quantum computing, and semiconductor sectors were particularly significant.

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The green energy sector has also performed impressively, with companies related to solar, wind, and energy storage technologies attracting over $32 billion in capital. This trend is mainly driven by the carbon neutrality goals of various countries worldwide and declining technology costs. Investors generally believe that green energy not only has long-term growth potential but can also provide relatively stable cash flow returns.

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Bond Markets: European Bonds Become Favorites, US Bonds Face Selling

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The bond market has also seen a significant shift in capital flows. With better-than-expected economic recovery in Europe and adjustments in European Central Bank policy expectations, government bonds of core European countries such as Germany and France have become safe havens for capital. Since August 2026, Eurozone government bonds have reached a net scale of $62 billion, the highest level since the European debt crisis.

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Meanwhile, US Treasuries are facing capital outflow pressure, with a net outflow of approximately $38 billion. This shift mainly reflects the market's reassessment of US inflation expectations and the uncertainty of the Federal Reserve's policy path. Notably, this trend forms a sharp contrast with the "safe-haven halo" of the past decade, marking a profound change in global bond allocation logic.

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Commodities and Real Estate: Capital Reallocation

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In the commodities market, capital flows show a divergent trend. Traditional industrial metals such as copper and aluminum are facing capital outflows, while precious metals and rare metals are attracting significant capital inflows. In August 2026, gold saw net inflows of $18 billion, reaching a recent high, reflecting market concerns about geopolitical risks.

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In the real estate market, commercial properties continue to face capital pressure, while residential properties, particularly high-quality residential properties in emerging markets, have become safe havens for capital. Residential real estate in Asia, especially in core cities such as Singapore, Tokyo, and Seoul, has attracted significant international capital, with net inflows exceeding $25 billion.

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Comparison of Capital Flows Between Emerging and Developed Markets

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Global capital flows in August 2026 also show clear market differentiation. Emerging markets have performed strongly overall, particularly in Asia and some Latin American countries, attracting significant international capital inflows. Among them, China's bond market and India's stock market have become key allocation targets for capital, with net inflows reaching $22 billion and $18 billion respectively.

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Meanwhile, some developed European countries such as the UK and Italy are facing capital outflow pressure, reflecting market concerns about these countries' economic prospects and policy uncertainties. Notably, this trend forms a sharp contrast with the past "safe-haven" logic, marking a transformation in the global asset valuation system.

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Analysis of Key Factors Influencing Capital Flows

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Economic Fundamental Factors

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Differences in economic fundamentals are the core drivers of capital flows. In the second quarter of 2026, Asian economic growth exceeded expectations, with China's GDP growth reaching 5.8% and India's growth at 6.2%, both significantly higher than in European and American countries. This fundamental difference has prompted capital to flow from slow-growing欧美 markets to rapidly growing Asian markets.

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At the same time, diverging inflation expectations have also affected capital flows. European inflation rates continue to decline, while US inflation expectations remain high, leading to capital flowing from the US market to the European market in search of more stable returns.

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Policy Factors

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The divergence of monetary policies is another key factor affecting capital flows. In August 2026, the European Central Bank signaled a possible interest rate cut, while the Federal Reserve maintained a tightening stance. This policy difference has led to capital flowing from the US market to the European market in search of higher real returns.

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In addition, changes in regulatory policies across countries have also affected capital flows. For example, the EU's strengthened ESG regulatory framework has attracted significant green investment capital, while increased regulation of technology companies in the US has led to some capital outflows.

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Geopolitical Factors

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Changes in geopolitical risks are also important factors affecting capital flows. In August 2026, escalating tensions in the Middle East have prompted capital to shift from risky assets to safe-haven assets. Meanwhile, the continuation of the Ukraine war has also affected the attractiveness of European assets.

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Notably, the impact of geopolitical factors on capital flows shows complexity. On one hand, increased geopolitical risks have driven demand for safe-haven assets; on the other hand, conflicts in certain regions have created specific investment opportunities, such as in defense technology and energy security sectors.

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Investor Response Strategies

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Importance of Diversified Allocation

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In the face of rapid changes in current capital flows, investors should emphasize the diversification of asset allocation. Traditional "60/40" stock-bond allocation strategies may struggle to adapt to the new market environment, and investors need to consider increasing the allocation proportion of alternative assets, such as private equity, real estate investment trusts (REITs), and commodities.

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At the same time, regional diversification is also crucial. Investors should not overly rely on a single market but should look for undervalued assets globally. Asian markets, especially China and India, may offer higher growth potential and relatively reasonable valuations.

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Opportunities in Thematic Investing

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Under the current capital flow landscape, thematic investing may provide unique opportunities. Themes such as technological innovation, green energy, artificial intelligence, and digital transformation may continue to attract sustained capital inflows, providing long-term returns for investors.

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Specifically, investors can focus on several areas: commercial applications of artificial intelligence and machine learning technologies, innovative breakthroughs in renewable energy technologies, manufacturing opportunities in the context of supply chain restructuring, and healthcare and elderly care industry opportunities brought by demographic changes.

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Strengthening Risk Management

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In the current environment of increased market volatility, risk management is crucial. Investors should establish effective risk control mechanisms, including setting stop-loss points, diversifying portfolios, and using derivatives for hedging.

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At the same time, investors should also pay attention to liquidity risks, especially when market volatility intensifies. Maintaining adequate cash reserves and avoiding excessive leverage operations are key to dealing with market uncertainties.

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Conclusion: Outlook for Future Capital Flow Trends

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The global capital flow shift in August 2026 marks a profound change in global asset allocation logic. The shift from traditional safe-haven assets to growth assets, from developed markets to emerging markets, and from traditional industries to technology and green energy may continue for a long time.

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Looking ahead, global capital flows may show the following characteristics: first, technology and green energy sectors will continue to attract significant capital; second, Asian markets, especially China and India, will become key allocation areas for capital; third, ESG investment concepts will further influence capital flows; fourth, digital currencies and crypto assets may attract more institutional capital.

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For investors, understanding this shift and adjusting investment strategies is crucial. While maintaining diversified allocations, attention should be paid to long-term trends, thematic investment opportunities should be seized, and risk management should be strengthened. Only by adapting to this new asset allocation landscape can stable returns be achieved in future market changes.

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  1. CONNECT:[ UseTime:0.001017s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.002468s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000733s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.003361s ]
  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:0.000775s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.003293s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'maju' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001005s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.004255s ]
  9. 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:0.001441s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.004004s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001249s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.004598s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 37 AND `name` = 'global-capital-flow-shift-august-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.002812s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6636' OR `id` = '6636' ) AND `subsite_id` = 37 LIMIT 1 [ RunTime:0.007331s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.003063s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.002238s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6636' LIMIT 1 [ RunTime:0.000855s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002078s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6636' LIMIT 1 [ RunTime:0.000688s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002504s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002702s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '6636' [ RunTime:0.005956s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002708s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002431s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.002408s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '37' AND `category_id` = '1433' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000778s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6636' LIMIT 1 [ RunTime:0.000591s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6636' [ RunTime:0.001465s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.004254s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '37' AND `type` = 'article' AND `url` = 'https://www.setmal.asia/global-capital-flow-shift-august-2026' AND `create_time` >= 1786694350 AND ( `visitor_id` = '5ae05cb44cf341c96dfb42ab8ec987ae' OR `session_id` = 'f54dd4cc684436bea75870618f01ef2f' ) LIMIT 1 [ RunTime:0.003875s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '37' , `uid` = '0' , `visitor_id` = '5ae05cb44cf341c96dfb42ab8ec987ae' , `session_id` = 'f54dd4cc684436bea75870618f01ef2f' , `type` = 'article' , `target_id` = '6636' , `target_type` = 0 , `category_id` = '1433' , `title` = 'Global Capital Shift: New Asset Allocation Landscape in August 2026' , `url` = 'https://www.setmal.asia/global-capital-flow-shift-august-2026' , `path` = '/global-capital-flow-shift-august-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` = '216.73.217.81' , `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` = 1786694410 , `update_time` = 1786694410 [ RunTime:0.003415s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.004690s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6636' AND `pid` = '0' [ RunTime:0.001651s ]
  34. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6636) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001784s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '6590' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001400s ]
  36. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '6590' [ RunTime:0.006087s ]
  37. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '6636' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001567s ]
  38. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6636) or ( sort = 0 and id > 6636) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001434s ]
  39. 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:0.001272s ]
  40. SELECT * FROM `g3ys_total` WHERE `target_id` = '6636' LIMIT 1 [ RunTime:0.000721s ]
  41. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002327s ]
  42. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.000875s ]
  43. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.002448s ]
  44. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '37' AND `ad_location_id` = '70' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786694410 ) AND ( `end_time` = 0 OR `end_time` >= 1786694410 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000979s ]
  45. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001788s ]
  46. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 70 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000996s ]
  47. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002519s ]
  48. 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:0.000947s ]
  49. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.000932s ]
  50. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '37' AND `ad_location_id` = '72' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786694411 ) AND ( `end_time` = 0 OR `end_time` >= 1786694411 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000940s ]
  51. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 72 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000732s ]
  52. 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:0.000739s ]
  53. 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:0.001257s ]
  54. SELECT * FROM `g3ys_total` WHERE `target_id` = '6590' LIMIT 1 [ RunTime:0.000724s ]
  55. 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:0.000804s ]
  56. 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:0.000757s ]
  57. SELECT * FROM `g3ys_total` WHERE `target_id` = '6585' LIMIT 1 [ RunTime:0.000663s ]
  58. 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:0.000731s ]
  59. 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:0.000739s ]
  60. SELECT * FROM `g3ys_total` WHERE `target_id` = '6549' LIMIT 1 [ RunTime:0.000619s ]
  61. 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:0.000673s ]
  62. 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:0.000712s ]
  63. SELECT * FROM `g3ys_total` WHERE `target_id` = '6534' LIMIT 1 [ RunTime:0.000580s ]
  64. 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:0.000763s ]
  65. 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:0.000741s ]
  66. SELECT * FROM `g3ys_total` WHERE `target_id` = '6489' LIMIT 1 [ RunTime:0.000642s ]
  67. 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:0.000710s ]
  68. 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:0.000958s ]
  69. 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:0.000716s ]
  70. 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:0.000779s ]
  71. 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:0.000724s ]
  72. 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:0.000803s ]
  73. 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:0.000726s ]
  74. 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:0.000722s ]
  75. 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:0.000714s ]
  76. 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:0.000703s ]
  77. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.003057s ]
  78. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.002385s ]
  79. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.002128s ]
  80. 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:0.001412s ]
  81. 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:0.000819s ]
  82. 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:0.000893s ]
  83. 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:0.000726s ]
  84. 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:0.000711s ]
0.461070s