2026年08月11日 Tuesday Focus on Cross-border Investment in Malaysia and Southeast Asia
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Global Economic Indicators Turning Point: August 2026 Data Reveals New Market Landscape

Global Economic Indicators Turning Point: August 2026 Data Reveals New Market Landscape

Global Economic Indicators Turning Point: August 2026 Data Reveals New Market Landscape

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In August 2026, the global economy is at a critical turning point. The latest release of multiple key economic indicators shows that major world economies are undergoing structural changes that are not only reshaping the global economic landscape but also bringing new challenges and opportunities to investors. This article will provide an in-depth analysis of the deeper meaning behind current economic data, offering forward-looking market insights for investors.

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Global GDP Growth Trends: Divergence and Restructuring

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According to the latest data, the global GDP growth rate in the second quarter of 2026 was 3.2%, slightly lower than the IMF\'s initial forecast of 3.5% but still maintaining a relatively stable level. However, this figure masks the increasingly significant divergence among economies.

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Asian economies, particularly China and India, continue to lead global growth. China\'s GDP growth reached 5.1% in the second quarter, mainly benefiting from the strong performance of high-tech manufacturing and green energy industries. India, with a growth rate of 6.3%, has reached a recent high, with its dual-driven growth model of services and manufacturing continuing to gain momentum.

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In contrast, European and American economies face greater challenges. The US GDP growth rate in the second quarter was 1.8%, lower than the market expectation of 2.2%. Although inflationary pressure has eased, the consumer confidence index has declined for three consecutive months. The Eurozone growth rate was only 0.9%, with Germany, as the European economic engine, seeing its growth rate drop to 0.5%, a three-year low.

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This divergence reflects that the global economy is shifting from synchronized post-pandemic recovery to a structural adjustment phase. Asian countries are enhancing their position in the global economy through industrial upgrading and domestic demand expansion, while Europe and the US face multiple challenges including industrial transformation, demographic changes, and geopolitical factors.

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Inflation and Monetary Policy: Finding a New Balance

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August 2026 inflation data shows that global inflationary pressures are showing divergent trends. The US CPI rose 2.8% year-on-year, a significant decrease from the peak of 7.5% in 2025, but still above the Federal Reserve\'s 2% target. The Eurozone inflation rate was 2.3%, close to the upper end of the European Central Bank\'s 2% target range. Among Asian countries, China\'s inflation rate remained at a relatively low level of 1.5%, while India reached 5.2%, showing different inflationary pressures.

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In the face of this complex inflationary landscape, the policy orientations of major global central banks have also shown clear divergence. The Federal Reserve maintained interest rates unchanged at its July meeting but clearly indicated a possible first rate cut of the year in September, expected to be 25 basis points. The European Central Bank has already taken the lead in cutting rates in June and may cut again at its August meeting. Asian central banks have generally maintained a cautious stance, with the People\'s Bank of China adopting a structural adjustment strategy rather than broad-based rate cuts.

\p>This divergence in monetary policy will reshape the global capital flow landscape. A weakening dollar is expected to become a trend in the coming months, potentially promoting capital flows to the euro and Asian currencies. At the same time, widening interest rate differentials will have a profound impact on the foreign exchange market, bringing new arbitrage opportunities for cross-border investments.

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Employment Market and Consumption Trends: Structural Changes

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Employment data is an important indicator of economic health. In July 2026, the US unemployment rate rose to 4.6%, a two-year high, but the structural changes in the employment data are more noteworthy. Employment in technology, manufacturing, and healthcare industries continued to grow, while retail, food and beverage, and traditional service industries faced pressure.

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The European unemployment rate remained relatively stable at 7.2%, but the youth unemployment rate reached 15.3%, showing deep structural problems in the labor market. In the Asian region, China\'s urban surveyed unemployment rate was 5.1%, Japan\'s was 2.6%, and India\'s reached 7.8%, reflecting employment challenges in countries at different development stages.

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Consumer behavior has also shown significant changes. Globally, consumers are more inclined to value-oriented purchases rather than simple brand following. Sustainable development products, cost-effective goods, and experiential consumption are favored. Digital payments and e-commerce shopping continue to penetrate, with the global e-commerce penetration rate reaching 35%, an increase of 15 percentage points compared to pre-pandemic levels.

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Global Trade and Supply Chains: Establishing a New Order

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Global trade data for the first half of 2026 shows that world trade volume growth was 2.8%, lower than global GDP growth, reflecting relatively weak trade growth. However, trade structures are undergoing profound changes. The importance of regional trade agreements has increased, with trade among RCEP (Regional Comprehensive Economic Partnership) member countries accounting for 30% of global trade, a new high.

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Supply chain restructuring continues to advance. According to the latest survey, 65% of multinational corporations are adjusting their supply chain strategies, increasing the proportion of nearshoring and localized production to enhance supply chain resilience. The trend of supply chain diversification in high-tech industries is particularly evident, with semiconductors, critical minerals, and medical supplies becoming key focus areas.

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These changes are reshaping the global industrial layout. Asian countries are enhancing their position in the global supply chain through manufacturing advantages, while Europe and the US are accelerating the return of key industries to their home countries through policy support and industrial policies. This dual-track global industrial layout will have a profound impact on future trade models and investment opportunities.

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Financial Markets and Asset Allocation: New Opportunities Emerge

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Financial market data for August 2026 shows that global asset allocation is undergoing significant changes. In the stock market, US stocks performed relatively weakly, with the S&P 500 index rising only 3.2% in the first half, while Asian stocks performed impressively, with the MSCI Asia Pacific index rising 8.7%, reaching a recent high.

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The bond market shows clear divergence. The US Treasury yield curve has flattened, with the spread between 10-year and 2-year yields expanding to 85 basis points, signaling possible economic slowdown. European German Treasury yields have turned positive, reflecting the relative stability of the European economy. The Asian bond market has benefited from regional economic growth and relatively stable monetary policies, attracting significant international capital inflows.

\p>The commodity market also presents a new landscape. Crude oil prices fluctuate within the range of $78-82 per barrel, reflecting the balance of supply and demand fundamentals. Gold prices have broken through $2,400 per ounce, a historic high, mainly supported by geopolitical tensions and continued central bank purchases. Prices for green energy-related commodities such as lithium and cobalt have fallen due to increased supply.

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Investment Strategy Recommendations: Seizing Opportunities in the Transformation Period

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In the face of the new market landscape revealed by current economic indicators, investors need to adjust strategies to seize opportunities during the transformation period:

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  • Diversified Regional Allocation: Increase allocation to Asian markets, especially China and India, while maintaining appropriate allocation to European and American markets to achieve regional risk diversification.
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  • Focus on High-Growth Sectors: Key allocations in high-growth areas such as artificial intelligence, green energy, biotechnology, and advanced manufacturing, which will play a key role in economic transformation.
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  • Balanced Asset Classes: Maintain balanced allocation among stocks, bonds, commodities, and real estate, especially increasing the proportion of inflation-hedging assets such as gold and physical assets.
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  • Long-Term Value Investment: Avoid short-term trading during market fluctuations, focusing on enterprises and assets with long-term growth potential, especially those that can adapt to economic structural transformation.
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  • Priority to Risk Management: Establish a comprehensive risk management system, including diversified investment portfolios, regular rebalancing, and appropriate hedging strategies to deal with market uncertainties.
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Conclusion: New Opportunities in Transformation

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The economic indicator data for August 2026 shows that the global economy is in a profound transformation period. This transformation brings both challenges and huge opportunities. For investors, understanding the deeper reasons for these changes, grasping structural trends, and adjusting asset allocation strategies are key to responding to the current market environment.

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In the coming years, the global economy will continue to show divergent development trends, with technological innovation, green transformation, and industrial upgrading becoming the main drivers of growth. Investors need to maintain flexibility and foresight, seeking value in transformation and seizing opportunities in change to achieve long-term asset appreciation.

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As investment master Warren Buffett said: \"Opportunities exist in crises, be greedy when others are fearful, and be fearful when others are greedy.\" The market fluctuations during the current economic transformation period are precisely the golden time for rational investors to find value and lay out the future.

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  1. CONNECT:[ UseTime:0.001326s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.003892s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000790s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.003419s ]
  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:0.000870s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.003791s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'maju' AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.000776s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.004430s ]
  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:0.001895s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.010089s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '37' LIMIT 1 [ RunTime:0.001709s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.006382s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 37 AND `name` = 'global-economic-indicators-turning-point-august-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.004304s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6484' OR `id` = '6484' ) AND `subsite_id` = 37 LIMIT 1 [ RunTime:0.011814s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.003793s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.002229s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6484' LIMIT 1 [ RunTime:0.000982s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002937s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6484' LIMIT 1 [ RunTime:0.000793s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.003399s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002703s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '6484' [ RunTime:0.009716s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.003319s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.003656s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.003376s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '37' AND `category_id` = '1434' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000873s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6484' LIMIT 1 [ RunTime:0.000770s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6484' [ RunTime:0.002833s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.008295s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '37' AND `type` = 'article' AND `url` = 'https://www.setmal.asia/global-economic-indicators-turning-point-august-2026' AND `create_time` >= 1786419596 AND ( `visitor_id` = 'b8d5dc68c87e7b0cee618494e73986a5' OR `session_id` = '474f644471b7c26d966eb464cbae5126' ) LIMIT 1 [ RunTime:0.003171s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '37' , `uid` = '0' , `visitor_id` = 'b8d5dc68c87e7b0cee618494e73986a5' , `session_id` = '474f644471b7c26d966eb464cbae5126' , `type` = 'article' , `target_id` = '6484' , `target_type` = 0 , `category_id` = '1434' , `title` = 'Global Economic Indicators Turning Point: August 2026 Data Reveals New Market Landscape' , `url` = 'https://www.setmal.asia/global-economic-indicators-turning-point-august-2026' , `path` = '/global-economic-indicators-turning-point-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` = '216.73.216.64' , `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` = 1786419656 , `update_time` = 1786419656 [ RunTime:0.009043s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.008186s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6484' AND `pid` = '0' [ RunTime:0.000961s ]
  34. 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 < 6484) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.004743s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '6290' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001639s ]
  36. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '37' AND `lang` = 'en' AND `document_id` = '6290' [ RunTime:0.023371s ]
  37. SELECT * FROM `g3ys_document` WHERE `category_id` = 1434 AND `subsite_id` = 37 AND `pid` = '6484' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001990s ]
  38. 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!=6484) or ( sort = 0 and id > 6484) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.001784s ]
  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:0.001433s ]
  40. SELECT * FROM `g3ys_total` WHERE `target_id` = '6484' LIMIT 1 [ RunTime:0.000892s ]
  41. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.003723s ]
  42. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.001042s ]
  43. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.003601s ]
  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` <= 1786419656 ) AND ( `end_time` = 0 OR `end_time` >= 1786419656 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001233s ]
  45. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002829s ]
  46. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 70 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000950s ]
  47. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002741s ]
  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:0.000830s ]
  49. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '37' AND `status` = 1 LIMIT 1 [ RunTime:0.000847s ]
  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` <= 1786419656 ) AND ( `end_time` = 0 OR `end_time` >= 1786419656 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001155s ]
  51. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 72 AND `subsite_id` = '37' AND `lang` = 'en' [ RunTime:0.000785s ]
  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:0.000868s ]
  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:0.000849s ]
  54. SELECT * FROM `g3ys_total` WHERE `target_id` = '6088' LIMIT 1 [ RunTime:0.000885s ]
  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:0.000819s ]
  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:0.000853s ]
  57. SELECT * FROM `g3ys_total` WHERE `target_id` = '6071' LIMIT 1 [ RunTime:0.000756s ]
  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:0.000849s ]
  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:0.001029s ]
  60. SELECT * FROM `g3ys_total` WHERE `target_id` = '6056' LIMIT 1 [ RunTime:0.000746s ]
  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:0.000799s ]
  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:0.000928s ]
  63. SELECT * FROM `g3ys_total` WHERE `target_id` = '6050' LIMIT 1 [ RunTime:0.000756s ]
  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:0.000862s ]
  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:0.000804s ]
  66. SELECT * FROM `g3ys_total` WHERE `target_id` = '6002' LIMIT 1 [ RunTime:0.000781s ]
  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:0.000887s ]
  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:0.000851s ]
  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:0.000952s ]
  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:0.000849s ]
  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:0.000835s ]
  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:0.000799s ]
  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:0.000893s ]
  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:0.000926s ]
  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:0.000851s ]
  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:0.000885s ]
  77. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.003660s ]
  78. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 37 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.003960s ]
  79. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.003040s ]
  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:0.001617s ]
  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:0.000891s ]
  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:0.000784s ]
  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:0.000867s ]
  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:0.000849s ]
0.687097s