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Asia-Pacific Foundry Capacity New Landscape: Analysis of Capacity Expansion and Regional Layout in the Second Half of 2026

Asia-Pacific Foundry Capacity New Landscape: Analysis of Capacity Expansion and Regional Layout in the Second Half of 2026

In the second half of 2026, the Asia-Pacific foundry industry is experiencing a new wave of capacity expansion, with countries increasing investment and technological innovation and green transformation driving the reshaping of the regional foundry industry value chain. As an important part of global manufacturing, the distribution and changes in foundry capacity directly affect the position of the Asia-Pacific region in the global manufacturing landscape. This article will conduct an in-depth analysis of the current status of Asia-Pacific foundry capacity, expansion trends, and regional layout characteristics, providing comprehensive market insights for investors.

Analysis of Current Foundry Capacity in Major Asia-Pacific Countries

The distribution of foundry capacity in the Asia-Pacific region shows diversified characteristics, with China, Japan, India, South Korea, and Southeast Asian countries each having their own advantages. According to the latest data, China continues to maintain its position as the world's largest foundry production base, with foundry capacity reaching 75 million tons in the first half of 2026, accounting for more than 45% of the global total. Among them, aluminum alloy foundry capacity has grown most significantly, with a year-on-year increase of 12.3%, mainly benefiting from the rapid development of the new energy vehicle industry.

As a leader in high-precision casting technology, Japan's foundry capacity is approximately 12 million tons. Although the total volume is less than China's, it dominates in the high-value-added product sector. In recent years, Japanese foundry companies have actively transferred some capacity to Southeast Asia while increasing intelligent transformation efforts domestically, achieving dual improvements in high-end capacity and green manufacturing.

India's foundry capacity has grown rapidly in recent years, reaching 18 million tons in the first half of 2026, a year-on-year increase of 15.6%. The Indian government strongly supports the development of the foundry industry through the "Make in India" policy, especially in the automotive parts and infrastructure sectors. Indian foundry companies are transforming from traditional low-end products to high-value-added products, continuously optimizing the capacity structure.

South Korea's foundry capacity is relatively concentrated, mainly in the fields of semiconductor equipment parts and automotive parts, with a total volume of about 8 million tons. With the increasing demand for precision casting parts in the semiconductor industry, South Korean foundry companies are increasing technical investment to improve product precision and consistency.

Capacity Expansion Trends and Investment Hotspots in the Second Half of 2026

Looking ahead to the second half of 2026, the expansion of foundry capacity in the Asia-Pacific region will show the following characteristics:

  • Regional Capacity Rebalancing: China's capacity growth is slowing down, shifting to high-quality development; Southeast Asian countries are accelerating capacity expansion, becoming new growth poles. Countries such as Vietnam, Thailand, and Malaysia are attracting large investments from foreign foundry enterprises with policy support and cost advantages.
  • New Energy Vehicles Driving Capacity Expansion: With the continuous increase in new energy vehicle penetration, the demand for aluminum die-casting parts is surging. Major automotive parts manufacturers in the Asia-Pacific region are expanding die-casting production lines to meet the demand for integrated die-casting parts from vehicle manufacturers.
  • Growth in Semiconductor-Related Foundry Capacity: The demand for precision casting parts for semiconductor equipment continues to grow, with Japanese and Korean companies increasing investment to enhance capacity and technical levels. Chinese foundry companies are also actively entering the semiconductor equipment parts market to break foreign technology monopolies.
  • Increased Proportion of Green Foundry Capacity: With increasingly strict environmental regulations, foundry companies are increasing investment in green manufacturing. The proportion of green foundry capacity using clean energy, improved production processes, and improved resource utilization continues to increase, expected to reach 35% of total capacity by the end of 2026.

The Impact of Technological Innovation on Foundry Capacity

Technological innovation is the core driving force for upgrading Asia-Pacific foundry capacity. In the second half of 2026, several advanced casting technologies are accelerating commercial application in the Asia-Pacific region, significantly improving production efficiency and product quality.

The commercialization process of 3D printing casting technology is accelerating, with leading companies in Japan and China successfully applying this technology to rapid prototyping and small-batch production of complex parts. This technology not only shortens the product development cycle but also reduces production costs, making it particularly suitable for high-value-added, small-batch casting products.

Intelligent casting production lines have become the mainstream direction for capacity expansion. Major foundry enterprises in the Asia-Pacific region are introducing industrial robots, Internet of Things, and big data technologies to achieve automation and intelligence in the production process. According to industry data, foundry enterprises using intelligent production lines have seen an average capacity increase of 25%, energy consumption reduced by 18%, and product defect rates decreased by 30%.

Digital twin technology is increasingly being used in casting production. By establishing virtual factory models, foundry companies can optimize production processes, predict equipment failures, and improve equipment utilization. This technology is particularly suitable for capacity planning and production scheduling, helping companies achieve optimal capacity allocation.

The Impact of Green Transformation and Sustainable Development on Capacity

Stricter environmental regulations and carbon neutrality goals are accelerating the green transformation of the Asia-Pacific foundry industry, which is profoundly affecting regional capacity distribution and structure.

Major countries in the Asia-Pacific region have successively introduced new environmental regulations for the foundry industry, setting higher requirements for emission standards, energy consumption, and resource utilization. These policies have prompted foundry companies to increase environmental investment, eliminate outdated capacity, and promote the expansion of green foundry capacity. China has implemented the "Green Factory Evaluation Standard for the Foundry Industry" to guide enterprises toward green and intelligent development; Japan has launched the "Green Foundry 2026 Plan" with the goal of reducing carbon emission intensity in the foundry industry by 30% by 2026.

The proportion of renewable energy in casting production is continuously increasing. Leading foundry enterprises in the Asia-Pacific region are installing solar power systems, biomass energy equipment, etc., to reduce dependence on traditional energy sources. Data shows that foundry enterprises using renewable energy have reduced average energy costs by 15% and carbon emission intensity by more than 20%.

The concept of circular economy is being deeply practiced in the foundry industry, promoting the improvement of resource utilization efficiency. Foundry companies are reducing resource waste and environmental pollution by improving production processes, increasing waste recycling rates, and developing recyclable casting materials. It is expected that by the end of 2026, the waste recycling rate in the Asia-Pacific foundry industry will reach 85%, an increase of 15 percentage points from 2020.

Regional Capacity Distribution and Industrial Chain Restructuring

The distribution of foundry capacity in the Asia-Pacific region is undergoing profound changes, showing clear trends of regional agglomeration and industrial chain restructuring.

China's foundry capacity distribution shows the characteristics of "upgrading in the eastern coastal areas and transferring to the central and western regions." The Yangtze River Delta, Pearl River Delta and other eastern coastal areas focus on developing high-value-added, technology-intensive casting products, while the central and western regions are undertaking the transfer of labor-intensive and resource-intensive casting capacity. This regional division optimizes the capacity layout and enhances overall competitiveness.

Southeast Asian countries have become the main destinations for foundry capacity transfer. Vietnam, with its policy advantages, cost advantages, and geographical location, has attracted large investments from foreign foundry enterprises. Foundry companies from Japan, South Korea, and China Taiwan are establishing production bases in Vietnam, forming regional industrial clusters. It is expected that by the end of 2026, Vietnam's foundry capacity will reach 5 million tons, a 150% increase from 2020.

India's foundry capacity expansion is mainly concentrated in the automotive parts and infrastructure sectors. With the deepening of the "Make in India" policy and the rapid growth of the domestic automotive market, Indian foundry companies are actively expanding capacity and improving technical levels. The Indian government is also attracting foreign foundry companies to establish R&D centers and production bases through tax incentives and land policies.

Semiconductor-related foundry capacity shows obvious regional agglomeration characteristics. Japan, South Korea, and China Taiwan regions dominate in the field of precision casting parts for semiconductor equipment, forming a complete industrial chain. Mainland China is gradually improving its competitiveness in the semiconductor casting field through independent innovation and technology introduction, with its capacity share continuously increasing.

Investment Strategies and Market Outlook

Facing the new landscape of Asia-Pacific foundry capacity expansion, investors need to formulate differentiated investment strategies to seize market opportunities.

In terms of investment regions, Southeast Asian countries, especially Vietnam, Thailand, and Malaysia, have high investment value. These countries have strong policy support, obvious cost advantages, and rapidly growing market demand, making them hotspots for foundry capacity expansion. Investors can focus on automotive parts casting and infrastructure-related capacity in these countries.

In terms of investment fields, new energy vehicle-related foundry capacity, precision casting parts for semiconductor equipment, and green casting technology have high growth potential. With the continuous increase in new energy vehicle penetration and the rapid development of the semiconductor industry, the demand for related casting products will continue to grow. At the same time, stricter environmental regulations will drive the demand for green casting technology, and related enterprises and technology providers have long-term investment value.

In terms of investment strategies, it is recommended to adopt a "core + satellite" portfolio strategy. The core part invests in leading enterprises with technical advantages and significant scale effects; the satellite part invests in innovative enterprises in growth-oriented niche fields and green casting technology providers. This portfolio strategy can seize industry growth opportunities while controlling risks.

Conclusion: Future Development Trends of Asia-Pacific Foundry Capacity

Based on comprehensive analysis, the future development of Asia-Pacific foundry capacity will show the following trends: first, capacity expansion and green transformation will develop in parallel, with environmental compliance becoming a prerequisite for capacity expansion; second, regional capacity distribution will be more balanced, with the proportion of Southeast Asian countries continuously increasing; third, technological innovation will drive capacity upgrading, with intelligence and digitalization becoming the mainstream direction for foundry capacity expansion; fourth, industrial chain restructuring will accelerate, forming closer regional industrial clusters.

For investors, grasping the new landscape of Asia-Pacific foundry capacity expansion requires attention to regional policy changes, technological innovation dynamics, and market demand trends, and the formulation of differentiated investment strategies. At the same time, it is also necessary to pay attention to the impact of environmental regulation changes and the carbon neutrality process on foundry capacity, and to seize the development opportunities of green casting.

Overall, the expansion of foundry capacity in the Asia-Pacific region is in a critical period of transformation and upgrading, facing challenges while also containing opportunities. Through technological innovation, green transformation, and regional coordination, the Asia-Pacific foundry industry is expected to occupy a more important position in the global foundry value chain, providing strong support for regional economic development and manufacturing upgrading.

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  1. CONNECT:[ UseTime:0.001061s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.002421s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '7' LIMIT 1 [ RunTime:0.000732s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.003083s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '7' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000772s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.002795s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'allianz' AND `subsite_id` = '7' LIMIT 1 [ RunTime:0.000887s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.003139s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 7 AND ( ( LOWER(name) = 'en-us' ) OR `subtag` = 'en-us' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001089s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.004077s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '7' LIMIT 1 [ RunTime:0.001150s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.004132s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 7 AND `name` = 'asia-pacific-founding-capacity-expansion-2026' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.003046s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '6814' OR `id` = '6814' ) AND `subsite_id` = 7 LIMIT 1 [ RunTime:0.008200s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.003128s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001696s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '6814' LIMIT 1 [ RunTime:0.000804s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002631s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '6814' LIMIT 1 [ RunTime:0.000713s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002419s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002036s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '7' AND `lang` = 'en-US' AND `document_id` = '6814' [ RunTime:0.006815s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002323s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002287s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.001905s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '7' AND `category_id` = '805' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000826s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '6814' LIMIT 1 [ RunTime:0.000782s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '6814' [ RunTime:0.001961s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.004279s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '7' AND `type` = 'article' AND `url` = 'https://www.seacycle.asia/asia-pacific-founding-capacity-expansion-2026' AND `create_time` >= 1787111075 AND ( `visitor_id` = 'ead73a339d32cb94491ab5e5aa6caf93' OR `session_id` = '9723cb959cd6d5341491522576b27cbf' ) LIMIT 1 [ RunTime:0.003030s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '7' , `uid` = '0' , `visitor_id` = 'ead73a339d32cb94491ab5e5aa6caf93' , `session_id` = '9723cb959cd6d5341491522576b27cbf' , `type` = 'article' , `target_id` = '6814' , `target_type` = 0 , `category_id` = '805' , `title` = 'Asia-Pacific Foundry Capacity New Landscape: Analysis of Capacity Expansion and Regional Layout in the Second Half of 2026' , `url` = 'https://www.seacycle.asia/asia-pacific-founding-capacity-expansion-2026' , `path` = '/asia-pacific-founding-capacity-expansion-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` = '216.73.216.70' , `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` = 1787111135 , `update_time` = 1787111135 [ RunTime:0.006347s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003308s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '6814' AND `pid` = '0' [ RunTime:0.000757s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.006667s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','7') AND `status` = 1 [ RunTime:0.001573s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.006530s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.005303s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.005346s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.004453s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.004152s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.004592s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.004368s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.005528s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.005815s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.004087s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.003839s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.004152s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.003666s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.003332s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.004196s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.004588s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.007070s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.005903s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.004632s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.003922s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.004714s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.004039s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.006163s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 6814 AND `subsite_id` = '7' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001932s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.003770s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 6814 AND `subsite_id` = 7 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001320s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.003120s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 6814 AND `subsite_id` = 7 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001196s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.003054s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 6814 AND `subsite_id` = 7 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001208s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.003172s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 6814 AND `subsite_id` = 7 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001301s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.004361s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 6814 AND `subsite_id` = '7' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001511s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.006009s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 6814 AND `subsite_id` = '7' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.002797s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.004952s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 6814 AND `subsite_id` = '7' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.002094s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.005554s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 6814 AND `subsite_id` = '7' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001778s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.004624s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 6814 AND `subsite_id` = '7' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001736s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.005706s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 6814 AND `subsite_id` = '7' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.002273s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 805 AND `subsite_id` = 7 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 6814) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.003203s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 805 AND `subsite_id` = 7 AND `pid` = '6764' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002625s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '7' AND `lang` = 'en-US' AND `document_id` = '6764' [ RunTime:0.023121s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 805 AND `subsite_id` = 7 AND `pid` = '6814' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002943s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 805 AND `subsite_id` = 7 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=6814) or ( sort = 0 and id > 6814) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.003041s ]
  85. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '7' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001905s ]
  86. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.004730s ]
  87. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '7' AND `status` = 1 LIMIT 1 [ RunTime:0.001381s ]
  88. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.004975s ]
  89. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '7' AND `ad_location_id` = '19' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1787111136 ) AND ( `end_time` = 0 OR `end_time` >= 1787111136 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001446s ]
  90. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.003718s ]
  91. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 19 AND `subsite_id` = '7' AND `lang` = 'en-US' [ RunTime:0.001263s ]
  92. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.003476s ]
  93. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.003684s ]
  94. SELECT `title`,`color`,`description`,`seotitle`,`keyword`,`name`,`id` FROM `g3ys_tags` WHERE `id` IN (152,147,141,146,145,140) AND `status` = 1 [ RunTime:0.001761s ]
  95. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.003083s ]
  96. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (152,147,141,146,145,140) AND `subsite_id` = 7 AND `lang` = 'en-US' [ RunTime:0.001410s ]
  97. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '7' AND `status` = 1 LIMIT 1 [ RunTime:0.000953s ]
  98. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '7' AND `ad_location_id` = '21' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1787111136 ) AND ( `end_time` = 0 OR `end_time` >= 1787111136 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001146s ]
  99. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 21 AND `subsite_id` = '7' AND `lang` = 'en-US' [ RunTime:0.000871s ]
  100. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '7' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001069s ]
  101. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '7' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000986s ]
  102. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '7' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000948s ]
  103. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '7' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000948s ]
  104. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '7' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001171s ]
  105. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '7' AND `category_id` = '2145' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.001454s ]
  106. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '7' AND `category_id` = '2147' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.003068s ]
  107. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '7' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003504s ]
  108. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '7' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.003153s ]
0.738850s