2026年10月15日 Thursday
chip-market-rates

Southeast Asia Chip Demand Surge: Thailand Leads Regional Industrial Transformation and REIT Investment Opportunities in Q4 2026

Southeast Asia Chip Demand Surge: Thailand Leads Regional Industrial Transformation and REIT Investment Opportunities in Q4 2026

Southeast Asia Chip Demand Surge: Thailand Leads Regional Industrial Transformation and REIT Investment Opportunities in Q4 2026

In Q4 2026, the global semiconductor industry is undergoing profound changes, with Southeast Asia, particularly Thailand, becoming a crucial pivot in the restructuring of the global chip supply chain. With the rapid development of emerging fields such as consumer electronics, artificial intelligence, and the Internet of Things, chip demand is experiencing explosive growth. Thailand, with its unique geographical advantages, policy support, and comprehensive infrastructure, is rapidly emerging as a regional semiconductor manufacturing center, bringing unprecedented investment opportunities to the Asia Pacific REITs market.

Southeast Asia Chip Market: Demand Explosion and Landscape Restructuring

According to the latest industry data, chip demand in Southeast Asia grew by 35% year-on-year in Q3 2026, far exceeding the global average. This growth comes from three main sources: first, the continuous recovery of the consumer electronics market, with significant increases in demand for high-performance chips from terminal devices such as smartphones, tablets, and personal computers; second, the vigorous development of the new energy vehicle industry, driving a surge in demand for automotive chips; and finally, the rapid expansion of data centers and artificial intelligence applications, leading to continuous growth in demand for high-performance computing chips and storage chips.

Notably, Southeast Asia's chip demand shows clear structural changes. The proportion of traditional consumer electronics chips is gradually decreasing, while the share of high-end products such as automotive chips, industrial control chips, and high-performance computing chips is significantly increasing. This trend reflects the transformation of Southeast Asia's industrial structure toward high-value-added sectors and provides impetus for the upgrading of the regional semiconductor industry chain.

Thailand's Semiconductor Industry: From Regional Player to Global Leader

In the Southeast Asian chip industry landscape, Thailand is playing an increasingly important role. In recent years, the Thai government has attracted investment from international semiconductor giants through a series of preferential policies, including tax incentives, land benefits, and R&D subsidies. These policies have begun to yield results, with leading global semiconductor companies such as Intel, TSMC, and Micron expanding their investment layouts in Thailand.

The rise of Thailand's semiconductor industry is not only reflected in capacity expansion but also in the improvement of industrial chain completeness. Currently, Thailand has formed a complete industrial chain from chip design, manufacturing to packaging and testing, with strong competitive advantages particularly in power semiconductors, memory chips, and automotive electronic chips. According to data from the Thailand Board of Investment, foreign investment in Thailand's semiconductor industry exceeded $5 billion in the first three quarters of 2026, a 45% increase year-on-year, creating more than 30,000 jobs.

The rapid rise of Thailand's semiconductor industry is attributed to multiple advantages. First, Thailand has a relatively stable political environment and sound legal system, providing a favorable business environment for investors. Second, Thailand has abundant high-quality labor resources, particularly with sufficient talent reserves in engineering and technical fields. Third, Thailand's geographical location is advantageous, located at the center of ASEAN, facilitating access to the entire Southeast Asian market. Finally, the Thai government highly values the development of the semiconductor industry, listing it as a national priority development sector and providing comprehensive policy support.

Synergistic Effects Between Chip Industry and Asia Pacific REITs Market

The rapid development of the semiconductor industry has brought new investment opportunities to the Asia Pacific REITs market. On one hand, semiconductor industrial parks, data centers, and other infrastructure REITs directly benefit from the expansion of the chip industry. With the formation of semiconductor industry clusters in Thailand, Malaysia, Vietnam, and other countries, demand for related industrial parks and supporting facilities has significantly increased, providing REITs with stable rental income sources.

On the other hand, the expansion of companies in the semiconductor chain has driven the prosperity of the surrounding commercial real estate market. Employees of semiconductor companies need housing, retail, medical and other supporting facilities, which directly translates into investment opportunities in logistics and warehousing, commercial real estate, and healthcare REITs. Data shows that in Q3 2026, the average return rate of semiconductor-related REITs in the Asia Pacific region reached 12.3%, significantly higher than the average return rate of REITs in other industries.

Particularly noteworthy is the performance of Thailand's semiconductor industrial park REITs. With the formation of semiconductor industry clusters in Bangkok, Chonburi, Ayutthaya, and other regions, the occupancy rates and rental levels of related industrial park REITs have continued to rise. Taking Thailand's largest semiconductor industrial park REIT as an example, its occupancy rate reached 98.5% in Q3 2026, with an average rent increasing by 15.2% year-on-year, bringing considerable investment returns to investors.

Investment Opportunities and Risk Analysis

Against the backdrop of the explosive growth in Southeast Asian chip demand, the Asia Pacific REITs market faces multiple investment opportunities. First, semiconductor industrial park REITs directly benefit from the expansion of chip manufacturing, offering high growth potential and stable cash flow. Second, data center REITs benefit from the rapid development of cloud computing and artificial intelligence applications, with continuous growth in demand for high-performance computing chips. Third, logistics and warehousing REITs benefit from the optimization needs of the semiconductor supply chain, particularly the increasing demand for specialized chip transportation and storage.

However, investors also need to pay attention to related risk factors. First, the cyclical fluctuations of the global semiconductor industry may affect the stability and returns of related REITs. Second, geopolitical risks may affect the stability of the global chip supply chain, thereby impacting the performance of related REITs. Third, technological changes may lead to rapid declines in demand for certain types of chips, affecting the value of related industry chains and REITs.

In response to these risks, investors can adopt the following strategies: first, diversify investments by allocating to semiconductor-related REITs in different countries and regions to reduce geographical concentration risk; second, focus on REITs at different stages of the industrial chain to balance cyclical and structural risks; third, maintain long-term holdings to grasp the long-term growth trend of the semiconductor industry and avoid the impact of short-term fluctuations.

Future Outlook

Looking ahead to 2027 and beyond, the Southeast Asian chip market will continue to maintain rapid growth. As the global semiconductor industry shifts its focus to Southeast Asia, Thailand, Malaysia, Vietnam, and other countries will further enhance their positions in the global chip supply chain. It is expected that by 2027, Southeast Asia will account for more than 25% of global chip production, becoming an important base for the global semiconductor industry.

In this context, the Asia Pacific REITs market will continue to benefit from the rapid development of the semiconductor industry. Particularly, REITs in segments such as semiconductor industrial parks, data centers, and logistics and warehousing will maintain high growth potential and investment value. Meanwhile, as the semiconductor industry chain continues to improve, the asset quality and risk resistance of related REITs will also continuously enhance.

For investors, grasping the development trends of Southeast Asia's semiconductor industry and reasonably allocating Asia Pacific REIT assets will be an important strategy for achieving investment returns. Especially against the backdrop of increasing global economic uncertainty, the combination of the semiconductor industry and the REITs market provides investors with an investment choice that has both growth potential and relative stability.

In conclusion, in Q4 2026, the explosive growth in Southeast Asian chip demand has brought unprecedented investment opportunities to the Asia Pacific REITs market. As a leader in the regional semiconductor industry, the formation and development of Thailand's industry clusters will continue to drive the value appreciation of related REITs. Investors should closely monitor developments in this area, seize investment opportunities, and achieve asset preservation and appreciation.

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  1. CONNECT:[ UseTime:0.001317s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.002491s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '28' LIMIT 1 [ RunTime:0.000771s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.003951s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000838s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.003196s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'pharmaniaga' AND `subsite_id` = '28' LIMIT 1 [ RunTime:0.000744s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.003199s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 28 AND ( ( LOWER(name) = 'en' ) OR `subtag` = 'en' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001411s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.004301s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '28' LIMIT 1 [ RunTime:0.001034s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.006677s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 28 AND `name` = 'southeast-asia-chip-demand-thailand-led-transformation-reits-investment-opportunities-q4-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.004332s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '7693' OR `id` = '7693' ) AND `subsite_id` = 28 LIMIT 1 [ RunTime:0.012221s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.002866s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001662s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '7693' LIMIT 1 [ RunTime:0.000774s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002394s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '7693' LIMIT 1 [ RunTime:0.000710s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002435s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.001965s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '28' AND `lang` = 'en' AND `document_id` = '7693' [ RunTime:0.010899s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002333s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002596s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.001989s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '28' AND `category_id` = '1292' AND `lang` = 'en' LIMIT 1 [ RunTime:0.000756s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '7693' LIMIT 1 [ RunTime:0.000603s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '7693' [ RunTime:0.012869s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.003939s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '28' AND `type` = 'article' AND `url` = 'https://www.thaireit.asia/southeast-asia-chip-demand-thailand-led-transformation-reits-investment-opportunities-q4-2026' AND `create_time` >= 1792053892 AND ( `visitor_id` = 'be9adc22b714fd5b80e4f945936f0187' OR `session_id` = '22cf6b8fa0b4d0107f9643b876d39516' ) LIMIT 1 [ RunTime:0.001307s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '28' , `uid` = '0' , `visitor_id` = 'be9adc22b714fd5b80e4f945936f0187' , `session_id` = '22cf6b8fa0b4d0107f9643b876d39516' , `type` = 'article' , `target_id` = '7693' , `target_type` = 0 , `category_id` = '1292' , `title` = 'Southeast Asia Chip Demand Surge: Thailand Leads Regional Industrial Transformation and REIT Investment Opportunities in Q4 2026' , `url` = 'https://www.thaireit.asia/southeast-asia-chip-demand-thailand-led-transformation-reits-investment-opportunities-q4-2026' , `path` = '/southeast-asia-chip-demand-thailand-led-transformation-reits-investment-opportunities-q4-2026' , `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` = '216.73.217.0' , `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` = 1792053952 , `update_time` = 1792053952 [ RunTime:0.012981s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003474s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '7693' AND `pid` = '0' [ RunTime:0.000781s ]
  34. SELECT * FROM `g3ys_document` WHERE `category_id` = 1292 AND `subsite_id` = 28 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 7693) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002269s ]
  35. SELECT * FROM `g3ys_document` WHERE `category_id` = 1292 AND `subsite_id` = 28 AND `pid` = '7675' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.001780s ]
  36. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '28' AND `lang` = 'en' AND `document_id` = '7675' [ RunTime:0.012820s ]
  37. SELECT * FROM `g3ys_document` WHERE `category_id` = 1292 AND `subsite_id` = 28 AND `pid` = '7693' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002180s ]
  38. SELECT * FROM `g3ys_document` WHERE `category_id` = 1292 AND `subsite_id` = 28 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=7693) or ( sort = 0 and id > 7693) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002129s ]
  39. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001256s ]
  40. SELECT * FROM `g3ys_total` WHERE `target_id` = '7693' LIMIT 1 [ RunTime:0.001073s ]
  41. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.002967s ]
  42. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '28' AND `status` = 1 LIMIT 1 [ RunTime:0.001014s ]
  43. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.003425s ]
  44. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '28' AND `ad_location_id` = '31' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1792053952 ) AND ( `end_time` = 0 OR `end_time` >= 1792053952 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001317s ]
  45. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002463s ]
  46. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 31 AND `subsite_id` = '28' AND `lang` = 'en' [ RunTime:0.000807s ]
  47. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.001967s ]
  48. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000919s ]
  49. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000718s ]
  50. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000789s ]
  51. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000791s ]
  52. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000730s ]
  53. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000677s ]
  54. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000831s ]
  55. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000741s ]
  56. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001107s ]
  57. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.002881s ]
  58. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001969s ]
  59. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003029s ]
  60. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000970s ]
  61. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '28' AND `status` = 1 LIMIT 1 [ RunTime:0.001597s ]
  62. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '28' AND `ad_location_id` = '33' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1792053952 ) AND ( `end_time` = 0 OR `end_time` >= 1792053952 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.003360s ]
  63. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 33 AND `subsite_id` = '28' AND `lang` = 'en' [ RunTime:0.001145s ]
  64. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003144s ]
  65. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001875s ]
  66. SELECT * FROM `g3ys_total` WHERE `target_id` = '7273' LIMIT 1 [ RunTime:0.001354s ]
  67. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.002451s ]
  68. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001372s ]
  69. SELECT * FROM `g3ys_total` WHERE `target_id` = '7260' LIMIT 1 [ RunTime:0.000998s ]
  70. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001029s ]
  71. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001004s ]
  72. SELECT * FROM `g3ys_total` WHERE `target_id` = '7234' LIMIT 1 [ RunTime:0.000857s ]
  73. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001492s ]
  74. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001302s ]
  75. SELECT * FROM `g3ys_total` WHERE `target_id` = '7207' LIMIT 1 [ RunTime:0.001054s ]
  76. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001180s ]
  77. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001211s ]
  78. SELECT * FROM `g3ys_total` WHERE `target_id` = '7181' LIMIT 1 [ RunTime:0.001027s ]
  79. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001025s ]
  80. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001179s ]
  81. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001031s ]
  82. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001086s ]
  83. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001264s ]
  84. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001150s ]
  85. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001131s ]
  86. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001284s ]
  87. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000964s ]
  88. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001222s ]
  89. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.005689s ]
  90. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 28 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.006682s ]
  91. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.003166s ]
  92. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (216,215,214,213,212,211,210,209,208,207,206,205,204,203,202) AND `subsite_id` = 28 AND `lang` = 'en' [ RunTime:0.003059s ]
  93. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001868s ]
  94. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001086s ]
  95. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '28' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001013s ]
0.630396s