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Global Capital Flow Major Shifts: New Asset Allocation Landscape and Opportunities in August 2026

Global Capital Flow Major Shifts: New Asset Allocation Landscape and Opportunities in August 2026

Global Capital Flow Major Shifts: New Asset Allocation Landscape and Opportunities in August 2026

In August 2026, global capital markets are experiencing a profound transformation in capital flows. As the global economic landscape continues to evolve, monetary policies diverge across countries, and geopolitical risks escalate, global capital is rapidly reallocating, presenting new challenges and opportunities for investors. This article will thoroughly analyze key trends in current global capital flows, explore their underlying drivers, and provide asset allocation strategies for investors to navigate the new landscape.

Key Changes in Global Capital Flows

According to the latest data, global capital flows in August 2026 show a clear trend of diversification. Global investment portfolios traditionally dominated by US dollar assets are undergoing structural changes, with funds beginning to flow toward more diverse asset classes and regions. This change not only reflects the market's need for risk-return rebalancing but also embodies the transformation of the global economic power structure.

First, Asian markets have become important destinations for global capital. Assets in China, India, and Southeast Asian countries have seen significant capital inflows, with strong performance in their stock and bond markets. Particularly, the Chinese bond market, supported by stable economic growth and policies, has attracted substantial international capital. Meanwhile, India, with its young demographic structure and rapid digital transformation, has also become a hotspot for global capital.

Second, European assets are regaining favor. As expectations of a European Central Bank monetary policy shift toward tightening intensify, European bond markets are attracting capital回流. Government bond yields in core European countries like Germany and France are rising, while European corporate bonds are also attracting capital due to relatively attractive valuations. Additionally, European green energy and technology company equities are attracting international capital focused on sustainable development.

Third, after a period of adjustment, emerging market bonds are seeing renewed capital inflows as valuation recovery opportunities emerge. Bond markets in Latin American countries like Brazil and Mexico, as well as Southeast Asian countries like Indonesia and Thailand, are receiving capital support due to relatively higher yields and improving fundamentals. At the same time, the stable performance of these currencies against the US dollar has reduced exchange rate risks, enhancing their attractiveness.

Analysis of Driving Factors Behind Capital Flows

The changes in global capital flows are driven by multiple factors. First, the divergence in monetary policies among central banks is a key factor affecting capital flows. The Federal Reserve maintained interest rates unchanged at its August 2026 meeting, but the market expects it may begin cutting rates before year-end, leading to a relative decline in the attractiveness of US dollar assets. Meanwhile, the European Central Bank and the Bank of England have maintained a tightening stance, increasing the relative attractiveness of European and British assets.

Second, the reshaping of the global economic growth pattern also profoundly affects capital flows. Asian economies, particularly China and India, continue to increase their share in the global economy. The market size and liquidity of these regions are constantly expanding, providing more diversified investment opportunities for global capital. At the same time, Europe's progress in energy transition and green development has enhanced the long-term value of its assets.

Third, changes in geopolitical risks are also important factors affecting capital flows. The continuation of the Ukraine conflict and global geopolitical tensions have prompted investors to reassess the risk-return characteristics of different regions. Traditional safe-haven assets like gold and US Treasuries have seen reduced attractiveness, while some emerging market assets with stable political environments and sound economic foundations are gaining more favor.

Fourth, the popularization of ESG (Environmental, Social, and Governance) investment concepts is also changing the allocation of global capital. More institutional and individual investors are incorporating ESG factors into their investment decisions, leading to increased capital support for green energy, sustainable development-related companies, and well-governed firms. This trend not only affects stock markets but also tends to influence bond pricing.

Capital Flow Trends Across Different Asset Classes

From an asset class perspective, global capital allocation across different assets in August 2026 shows clear differentiation. In the stock market, technology and healthcare stocks continue to attract capital, while traditional industrial and energy sectors face capital outflows. Asian technology companies, particularly those in artificial intelligence, semiconductors, and electric vehicles, have become the focus of global capital due to their technological innovation and market growth potential.

In the bond market, investors are reassessing the balance between interest rate risk and credit risk. High-yield bonds are attracting some capital due to lower interest rate risk, while investment-grade bonds are attracting long-term capital due to relatively reasonable valuations. Meanwhile, the issuance scale of ESG bonds such as green bonds and social bonds continues to expand, attracting investors focused on sustainable development.

In the real estate market, commercial real estate in major global economies still faces challenges, but special real estate assets such as logistics properties and data centers are receiving capital support due to the demand of digital economic development. At the same time, residential markets in some resort cities and livable cities are also attracting capital inflows due to the trend of remote work.

In the commodity market, gold continues to receive capital support as a safe-haven asset, with prices reaching recent highs. Meanwhile, industrial metals related to energy transition, such as lithium, cobalt, and nickel, are in high demand due to the development of electric vehicles and energy storage industries, leading to price increases and capital inflows in related commodities.

Impact on Investors and Recommendations

The changes in global capital flows bring different challenges and opportunities to various types of investors. For institutional investors, it is necessary to reassess their asset allocation strategies to adapt to the new landscape of global capital flows. For individual investors, it is necessary to adjust their portfolios based on their risk tolerance and investment objectives to respond to market changes.

First, investors should consider implementing more diversified asset allocation strategies. Traditional portfolios dominated by US dollar assets may face risks. Appropriately increasing the allocation ratio of Asian and European assets helps to diversify regional risks and capture growth opportunities in different regions. At the same time, increasing alternative assets such as private equity, real estate investment trusts (REITs), and commodities also helps to enhance the diversification of the portfolio.

Second, investors should focus on the application of ESG factors in investment decisions. Incorporating environmental, social, and governance factors into investment analysis not only helps to reduce investment risks but also captures investment opportunities brought by sustainable development trends. Especially in the context of energy transition and digital transformation, ESG-related assets may obtain long-term growth momentum.

Third, investors should maintain attention to the global macroeconomic situation, especially changes in monetary policies of various central banks. Adjustments in monetary policy often affect global capital flows and asset prices. Timely adjustment of investment strategies helps to respond to market fluctuations. At the same time, geopolitical risks also need to be considered in investment decisions, with appropriate allocation of safe-haven assets to respond to unexpected risk events.

Fourth, investors should consider regularly evaluating and rebalancing their portfolios. Changes in global capital flows may cause the risk-return characteristics of the portfolio to deviate from expectations. Regular evaluation and adjustment help to maintain the target risk-return level of the portfolio. At the same time, it is also necessary to adjust investment strategies in a timely manner according to market changes and changes in personal financial situations.

Future Outlook

Looking ahead, changes in global capital flows may continue to deepen. First, the share of Asian economies in the global economy may further increase, and the proportion of Asian assets in global investment portfolios is expected to continue to rise. Especially as the openness of China and India markets continues to increase, more international capital inflows are expected.

Second, green transition and digital transformation will continue to affect global capital allocation. Industries and assets related to sustainable energy and digital technology may receive more capital support, while high-carbon emission industries may face capital outflow pressure. This trend will not only affect stock markets but also influence bond pricing and capital flows.

Third, changes in geopolitical risks will continue to affect global capital flows. As the global geopolitical landscape changes, the boundaries between traditional safe-haven assets and non-safe-haven assets may become blurred. Investors need to be more flexible in responding to geopolitical risks and adjust asset allocation according to specific situations.

Finally, technological innovation will continue to change the structure and operation of global financial markets. The development of new technologies such as fintech and blockchain may reduce barriers to cross-border investment and promote the efficiency of global capital flows. At the same time, the development of digital currencies may also affect the pricing of traditional assets and the pattern of global capital allocation.

In conclusion, the changes in global capital flows in August 2026 reflect the profound transformation of the global economic landscape. Investors should adapt to these changes, adjust their asset allocation strategies, and seize new investment opportunities. In an environment of increasing uncertainty, diversified allocation, long-term perspective, and flexible adjustment will become key to investment success. By deeply understanding the changing trends of global capital flows and their underlying drivers, investors can better respond to market challenges and achieve wealth growth goals.

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  1. CONNECT:[ UseTime:0.001544s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.002488s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000797s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.002584s ]
  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:0.000873s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.003060s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'maju' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000676s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.003650s ]
  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:0.001508s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.004619s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001059s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.004404s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 37 AND `name` = 'global-capital-flows-new-asset-allocation-opportunities-august-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.002829s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6828' OR `id` = '6828' ) AND `subsite_id` = 37 LIMIT 1 [ RunTime:0.009429s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.003721s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001725s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6828' LIMIT 1 [ RunTime:0.000855s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002449s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6828' LIMIT 1 [ RunTime:0.000895s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002264s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.001986s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '6828' [ RunTime:0.007641s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002446s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002332s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.001984s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '37' AND `category_id` = '1433' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000814s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6828' LIMIT 1 [ RunTime:0.000666s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6828' [ RunTime:0.002511s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.003862s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '37' AND `type` = 'article' AND `url` = 'https://www.setmal.asia/global-capital-flows-new-asset-allocation-opportunities-august-2026' AND `create_time` >= 1787122249 AND ( `visitor_id` = '1749de5bc8dad6a0db83970efa0a2205' OR `session_id` = '100371e8632ebbfcdebe37cb22d81d45' ) LIMIT 1 [ RunTime:0.002177s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '37' , `uid` = '0' , `visitor_id` = '1749de5bc8dad6a0db83970efa0a2205' , `session_id` = '100371e8632ebbfcdebe37cb22d81d45' , `type` = 'article' , `target_id` = '6828' , `target_type` = 0 , `category_id` = '1433' , `title` = 'Global Capital Flow Major Shifts: New Asset Allocation Landscape and Opportunities in August 2026' , `url` = 'https://www.setmal.asia/global-capital-flows-new-asset-allocation-opportunities-august-2026' , `path` = '/global-capital-flows-new-asset-allocation-opportunities-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` = '216.73.217.126' , `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` = 1787122309 , `update_time` = 1787122309 [ RunTime:0.002127s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003328s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6828' AND `pid` = '0' [ RunTime:0.000786s ]
  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 < 6828) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001656s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '6777' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001299s ]
  36. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '6777' [ RunTime:0.008422s ]
  37. SELECT * FROM `g3ys_document` WHERE `category_id` = 1433 AND `subsite_id` = 37 AND `pid` = '6828' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001910s ]
  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!=6828) or ( sort = 0 and id > 6828) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001374s ]
  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:0.002246s ]
  40. SELECT * FROM `g3ys_total` WHERE `target_id` = '6828' LIMIT 1 [ RunTime:0.000887s ]
  41. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002374s ]
  42. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.001338s ]
  43. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.003094s ]
  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` <= 1787122309 ) AND ( `end_time` = 0 OR `end_time` >= 1787122309 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001193s ]
  45. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002320s ]
  46. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 70 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000856s ]
  47. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002119s ]
  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:0.000864s ]
  49. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.000879s ]
  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` <= 1787122309 ) AND ( `end_time` = 0 OR `end_time` >= 1787122309 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.000921s ]
  51. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 72 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000676s ]
  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:0.000806s ]
  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:0.001108s ]
  54. SELECT * FROM `g3ys_total` WHERE `target_id` = '6590' LIMIT 1 [ RunTime:0.000901s ]
  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:0.000692s ]
  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:0.000825s ]
  57. SELECT * FROM `g3ys_total` WHERE `target_id` = '6585' LIMIT 1 [ RunTime:0.000848s ]
  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:0.000719s ]
  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:0.001357s ]
  60. SELECT * FROM `g3ys_total` WHERE `target_id` = '6549' LIMIT 1 [ RunTime:0.000712s ]
  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:0.000754s ]
  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:0.000816s ]
  63. SELECT * FROM `g3ys_total` WHERE `target_id` = '6534' LIMIT 1 [ RunTime:0.000701s ]
  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:0.000788s ]
  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:0.001590s ]
  66. SELECT * FROM `g3ys_total` WHERE `target_id` = '6489' LIMIT 1 [ RunTime:0.000726s ]
  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:0.000888s ]
  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:0.000831s ]
  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:0.000688s ]
  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:0.000734s ]
  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:0.000672s ]
  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:0.000760s ]
  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:0.000787s ]
  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:0.000716s ]
  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:0.000693s ]
  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:0.001143s ]
  77. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.002507s ]
  78. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.002695s ]
  79. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.002091s ]
  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:0.001168s ]
  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:0.001103s ]
  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:0.000831s ]
  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:0.000749s ]
  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:0.000710s ]
0.516754s