SpaceX IPO Is Not the End; Space Data Centers Are the Real Show

2026-06-16 10:12 125 Reading US Stock Barometer
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SpaceX IPO Is Not the End; Space Data Centers Are the Real Show

SpaceX's IPO is not the craziest part. The truly crazy part is that Musk may not be trying to sell a rocket company to Wall Street, but to move AI data centers into space. You heard that right. Previously, when we talked about AI lacking computing power, the first reaction was to buy Nvidia chips, build data centers, compete for electricity, water, and land. But now Musk has flipped the table: Earth isn't enough, so let's send some computing power into orbit. The most thrilling aspect is not how much SpaceX's IPO gained on day one, nor where Musk's net worth stands, but that Wall Street suddenly realizes SpaceX may not just be a rocket company, nor just a Starlink satellite internet company – it may be packaged as the next-generation AI infrastructure company. According to public reports, the SpaceX IPO generated extraordinary heat, with issuance price, opening price, first-day gain, valuation, and retail buying amounts all becoming market discussion focal points. I note here that you must verify the specific numbers before recording, because IPO first-week data changes quickly – pre-market, intraday, close, and market cap measures may differ. But regardless of final number adjustments, one thing is clear: the market is not simply hyping a company's listing; it is repricing a bigger story. That story is space AI infrastructure. If you only stare at SpaceX's stock price going up 5% today and down 3% tomorrow, you're only seeing the rocket exhaust. The truly valuable stuff is behind the rocket. The rocket is just the truck; Starlink is the highway; space data centers may be the future super-factory that actually charges money. Today, we don't tell you to buy or sell, and we don't serve chicken soup. We'll explain this thoroughly: why SpaceX's IPO is not the end, why space data centers are the story Wall Street really wants to hear, what ordinary retail investors most easily misread, and which signals to watch next. Superficially, SpaceX's IPO is an IPO frenzy; one layer deeper, it's Wall Street beginning to price 'space AI infrastructure.' In the past, people looked at SpaceX mainly through three business segments. First, can rockets continuously reduce launch costs? Second, can Starlink transform from a cash-burning network into a stable profit machine? Third, can government, military, and NASA orders continue to support its cash flow? But now capital markets are starting to focus on a fourth, and most imaginative, piece: can AI computing power go to space? This sounds a bit sci-fi, but capital markets love this kind of thing. If you only say you can build rockets, the market asks: how many launches per year, gross margin, how many orders? If you say you'll do satellite internet, the market asks: user growth, ARPU, competitor price cuts? But if you say you could become the space cloud computing gateway for the AI era, the valuation logic instantly changes. Why? Because Wall Street's favorite thing is not a story that has already finished, but a story that can be told for another ten years. If Tesla were just about selling cars, its valuation wouldn't have been so extreme. The market bought the future options of EVs, energy, autonomous driving, humanoid robots. If Nvidia were just about selling graphics cards, it wouldn't be where it is today. The market bought the water, electricity, and coal of the AI era. If SpaceX were just about launching rockets, the ceiling is high but still has boundaries. If SpaceX is understood by the market as 'launch capability + satellite network + space computing + AI infrastructure,' it's no longer an ordinary aerospace company; it's a massive future option. Note: I said future option, not already realized cash flow. This is important. Space data centers are not yet a mature business – not that they announce it today and start making money tomorrow. It's more like a ticket: behind the door could be a new world, or a big pit of engineering challenges. So why did this story explode now? The reason is simple: AI data centers on Earth are becoming overcrowded. In the past two years, large model companies competed on parameters, model capability, and who had the flashiest launches. But gradually, people realized that the smarter the model, the more resources it devours – chips, electricity, data centers, networks, funding. Think of AI as a giant electronic monster. Every evolution makes it hungrier. A machine room used to feed it; now it needs a data center. In the future, a city's power supply may not be enough. So the most realistic problem for the US market now is not 'does AI have a future?' but 'who supplies power to AI, who cools AI, who builds houses for AI?' Data centers are not just renting a warehouse and plugging in servers. They need land, grid, cooling, water, government approvals, and stable networks. You think AI companies compete on algorithms, but increasingly they compete on real estate, power companies, and construction teams. That's when the concept of space data centers becomes very sexy. Its story is simple: space has abundant solar power, no ground-level permitting issues, no competition for land with residents. If launch costs continue to fall, equipment can operate stably in orbit, connecting to the ground via satellite networks, then why not move some AI computing to space? Sounds exciting, right? But don't rush to slam the table. Space is not a free computer room. Your kitchen is too hot; you say you'll move it to the rooftop – sounds windy, spacious, and unregulated. But new problems arise: how to connect water and electricity? How to bring the cooked food down? Who repairs the stove if it breaks? What about rain, wind, or roof load? Space data centers face the same issues. They need to solve launch costs, equipment lifespan, cosmic radiation, heat dissipation, communication bandwidth, and repair difficulties. Many people hear space is cold and think cooling is simple. But in a vacuum, there is no air convection; machines radiate heat primarily through radiation – much harder than imagined. You're not throwing servers into a refrigerator; you're throwing them into a place with no wind, no water, and difficult repairs. So this story is half sea of stars, half engineering hell. But capital markets love this kind of story precisely because it's big enough, far enough, and leaves room for imagination. After the IPO, retail and institutions see completely different things. Retail sees: SpaceX finally listed, Musk wins again, stock rises again, is this the next Tesla? If I don't get on board now, will I only watch others get rich? This psychology is normal. Everyone fears missing out. Especially with a name like Musk, it's hard not to think of the tenfold, hundredfold stories of Tesla. But institutions see a different set of books. In early listing, the float is small, so the stock price is easily pushed up by sentiment. If it's later included in indices, ETFs, passive flows, short-term demand may expand. Plus, the new narrative of 'space data centers' turns SpaceX from just an aerospace stock into a driver for satellite communications, AI chips, optical communication, power equipment, defense tech, and data center infrastructure. Retail asks: how much did it gain today? Institutions ask: can this story run until 2030? That's the difference. If a hotspot only lasts three days, it's emotional fireworks. After three days, enthusiasm fades, and chasers look foolish. But if a story can go from IPO to AI computing, from AI computing to power bottlenecks, from power bottlenecks to space infrastructure, and from space infrastructure to defense and cloud computing, then it can become a major track repeatedly priced by long-term thematic funds. Now, hearing this, many friends may get more excited. But hold on: the bigger the story, the bigger the risk. Because once the market stuffs ten years of good news into the stock price early, the company can't just be 'good'; it must be 'very good.' It can't just 'progress smoothly'; it must be 'unexpectedly smooth.' Any delays, cost overruns, technical hurdles, or commercialization shortcomings could trigger a cold shower for the stock. The real logic behind SpaceX is not how cool the rockets are, but who controls the orbital gateway of the AI era. The first gateway is launch. If computing equipment is to be sent to orbit in the future, whoever can launch at low cost, high frequency, and stably has the first ticket. Previously, internet companies competed on server procurement; now space computing first requires the ability to send servers into space. If Starship can continuously lower launch costs, SpaceX's story gains credibility. Conversely, if launch pace is unstable, space data centers easily become romantic PPTs. The second gateway is network. Data centers are not islands. You put computing in space, but eventually results must be sent back to ground. Starlink is key here. If Starlink only sells internet access, it's a satellite broadband network. If it can connect ground users, enterprise customers, and orbital computing nodes in the future, it becomes a highway in space. The highway itself may not be the fastest money maker, but whoever controls the entrance gets to collect tolls. The third gateway is customers. Space data centers don't automatically make money once built. Someone must pay. Who? Possibly AI large model companies, cloud computing giants, defense and intelligence systems, Earth observation companies, or enterprises needing global coverage, low latency, or specialized computing. The key judgment here is not 'does the technology sound cool?' but 'are customers willing to pay continually?' Capital markets can price dreams first, but long-term stock prices are eventually pulled back by cash flow. No matter how high you fly, the income statement brings you back to Earth. Wall Street may now have three types of funds moving. First, short-term funds. They may not believe space data centers will materialize soon; they believe in heat, volume, float, and receiving sentiment. They may not love SpaceX; they love volatility. These funds move fast. When heat is there, they're aggressive; when sentiment changes, they exit faster than you open your trading app. Second, passive and index funds. If SpaceX later enters major indices or ETFs, some funds have to buy even if they don't want to. Not because the fund manager suddenly realized rockets change the world, but because rules require allocation. This mechanism is powerful: it automatically stuffs a company's stock into many ordinary people's long-term accounts. Third, long-term thematic funds. They don't watch tomorrow's up or down; they watch the industry position ten years from now. What if AI compute is insufficient? What if grid pressure grows? What if data center approvals become harder? How do defense tech and commercial aerospace integrate? Who controls the next infrastructure gateway? These funds won't fill their position in one day; they're more like hunters, watching and buying, buying and verifying. Add a bit when the story is strong, add a bit when data delivers, check again when price pulls back. But the danger is also here. Wall Street is particularly good at packaging a real trend into an extreme narrative, then using that narrative to inflate valuation. By the time retail finally understands the story and starts getting excited, institutions are already watching the pace of delivery. This is where ordinary investors most easily misread. First mistake: only looking at gains, not valuation. Many see SpaceX's price rise and think it will keep rising. But a rising stock price does not mean risk disappears; sometimes it is risk concentration. You see others climbing the mountain from the foot and think it's easy; by the time you catch up to the middle, you find strong wind, slippery paths, and thin air. Second mistake: treating the Musk halo as a safety net. Musk is certainly formidable, but Musk is not a stop-loss order. Tesla didn't go straight up; its pullbacks were life-questioning. Between a great company and a great stock lies price. Even a good company if bought too expensively can be painful for a long time. Third mistake: treating space data centers as already profitable business. It's more of a future option, not mature cash flow. It has imagination but also hard bones: launch cost, radiation, heat dissipation, equipment lifespan, communication bandwidth, repair difficulty, customer demand. None of these can be solved by slogans. Fourth mistake: only looking at positives, not expectation gaps. If the market has already treated 'space AI infrastructure' as a certain future, then any slow progress will disappoint the stock price. Capital markets are realistic: they don't listen to stories and cry; they ask: where are the orders? Where is the revenue? Where is the profit? Where is the free cash flow? Fifth mistake: turning long-term trends into short-term all-ins. Right direction doesn't mean right price. Big story doesn't mean daily gains. Long-term potential doesn't mean no short-term pullback. Many retail investors lose not because they misread direction, but because their positions are too heavy, entry too hasty, mindset too fragile. Next, what to really watch is not who shouts on social media, but five signals.

First, SpaceX's real financial data after IPO. Focus on revenue growth, Starlink profit margins, launch business gross margin, government order share, free cash flow, and debt and financing costs. No matter how beautifully space data centers are described, the company must be able to generate its own cash. If an enterprise only talks about the future but its actual business can't hold, valuation will eventually be questioned by the market. Second, whether orbital AI computing tests have real progress. According to public reports, SpaceX has plans to advance orbital AI computing tests. But you must see clearly: is it a concept display or a solid technology test? Is it testing AI inference or data relay? Are customers involved? Are hard metrics like power consumption, bandwidth, latency, and heat dissipation disclosed? PPT launch is not business landing. Prototype success is not scale success. Third, Starship launch pace and cost. For space data centers to scale, launch capability is the foundation. If the foundation is unstable, the taller the building, the more dangerous. If Starship progresses smoothly, story credibility increases; if frequent delays occur, the market's patience with space data centers will decrease. Fourth, whether ground AI data center bottlenecks continue to worsen. If ground electricity tightens, data center approvals become harder, water and grid disputes increase, then the space data center story will be more easily believed by the market. Conversely, if ground data centers solve a large part of the problem through nuclear power, natural gas, grid upgrades, and liquid cooling, the urgency of space solutions weakens. Fifth, fund flows. Watch volume, institutional ratings, ETF allocation, index inclusion, lockup expiration, insider selling, and US Treasury yields. High-valuation tech stocks fear not a bad news, but a retreat of liquidity. When the water level is high, all ships look big; when water recedes, those without pants become obvious. For ordinary investors, the most rational approach is not to guess tomorrow's direction, but to first clarify your own situation. If you have no position at all, the worst is to go all-in at the most emotional moment. You can first observe financial data, valuation digestion after pullback, and real milestones in space data centers. If you want to participate, don't treat it as a guaranteed asset; it's more like a high-volatility growth asset. If you already hold a position, don't think risk disappears just because of a short-term surge. You need to think clearly: are you buying SpaceX's existing business, or the future option of space AI infrastructure? The former depends on revenue and profit; the latter on technical milestones and valuation tolerance. The two buying approaches require completely different mindsets. If you have low risk tolerance and can't sleep with a one-day swing, it's best not to overweight such stocks. Not because they're bad, but because your heart may not be suitable for rocket rides. Investing is not about proving bravery; it's about surviving long-term. If you want to look at the industry chain, you don't have to focus solely on SpaceX itself. AI chips, optical communication, satellite communication, power equipment, data center infrastructure, aerospace components, defense tech – all may be driven by this story. But in each chain, there are real gold nuggets and also concept-riding tin boxes. The final judgment depends on orders, profit margins, customer quality, and valuation. So the correct attitude today is not blind excitement, nor direct mockery of it as pie-in-the-sky. SpaceX's IPO is indeed a major event in capital markets. Space data centers do open new imagination for AI infrastructure. But imagination is not cash flow, news heat is not safety margin, and the Musk halo is not universal insurance. A truly mature investor will not rush in because a story is exciting, nor completely dismiss it because it's far away. They ask three questions: Is this trend real? Does the company have the ability to deliver? Does the current price leave me enough room? Finally, I want to remind everyone: SpaceX's IPO is just fireworks; space data centers are the real show. But no matter how beautiful the fireworks, don't stand at the explosion center.

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Disclaimer: This article is for reference only and does not constitute investment advice. Investment involves risks, please invest cautiously.

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  1. CONNECT:[ UseTime:0.001735s ] mysql:host=127.0.0.1;port=3306;dbname=cjgpcs;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `g3ys_config` [ RunTime:0.004656s ]
  3. SELECT `value` FROM `g3ys_config` WHERE `name` = 'timezone' AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.001021s ]
  4. SHOW FULL COLUMNS FROM `g3ys_route` [ RunTime:0.004482s ]
  5. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000739s ]
  6. SHOW FULL COLUMNS FROM `g3ys_theme` [ RunTime:0.002735s ]
  7. SELECT `paginator` FROM `g3ys_theme` WHERE `module` = 'home' AND `name` = 'scientex' AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.000726s ]
  8. SHOW FULL COLUMNS FROM `g3ys_lang` [ RunTime:0.003153s ]
  9. SELECT * FROM `g3ys_lang` WHERE `subsite_id` = 26 AND ( ( LOWER(name) = 'en-us' ) OR `subtag` = 'en-us' ) AND `status` = 1 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001120s ]
  10. SHOW FULL COLUMNS FROM `g3ys_member` [ RunTime:0.004012s ]
  11. SELECT * FROM `g3ys_member` WHERE `id` = 0 AND `subsite_id` = '26' LIMIT 1 [ RunTime:0.000886s ]
  12. SHOW FULL COLUMNS FROM `g3ys_document` [ RunTime:0.003905s ]
  13. SELECT `id`,`document_type` FROM `g3ys_document` WHERE `subsite_id` = 26 AND `name` = 'spacex-shang-shi-bu-shi-zhong-dian-tai-kong-shu-ju-zhong-xin-cai-shi-da-xi' AND `status` IN ('1','2') LIMIT 1 [ RunTime:0.001067s ]
  14. SELECT * FROM `g3ys_document` WHERE ( `name` = '4759' OR `id` = '4759' ) AND `subsite_id` = 26 LIMIT 1 [ RunTime:0.001497s ]
  15. SHOW TABLES LIKE 'g3ys_document_article' [ RunTime:0.002401s ]
  16. SHOW FULL COLUMNS FROM `g3ys_document_article` [ RunTime:0.001669s ]
  17. SELECT * FROM `g3ys_document_article` WHERE `document_id` = '4759' LIMIT 1 [ RunTime:0.000913s ]
  18. SHOW FULL COLUMNS FROM `g3ys_total` [ RunTime:0.002101s ]
  19. SELECT * FROM `g3ys_total` WHERE `target_id` = '4759' LIMIT 1 [ RunTime:0.000667s ]
  20. SHOW TABLES LIKE 'g3ys_document_article_lang' [ RunTime:0.002035s ]
  21. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.001807s ]
  22. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '4759' [ RunTime:0.006187s ]
  23. SHOW FULL COLUMNS FROM `g3ys_document_article_lang` [ RunTime:0.002250s ]
  24. SHOW TABLES LIKE 'g3ys_category_lang' [ RunTime:0.002066s ]
  25. SHOW FULL COLUMNS FROM `g3ys_category_lang` [ RunTime:0.001952s ]
  26. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '1237' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000761s ]
  27. SELECT * FROM `g3ys_total` WHERE `target_id` = '4759' LIMIT 1 [ RunTime:0.000804s ]
  28. UPDATE `g3ys_total` SET `view_total` = `view_total` + 1 WHERE `target_id` = '4759' [ RunTime:0.002130s ]
  29. SHOW FULL COLUMNS FROM `g3ys_record` [ RunTime:0.004489s ]
  30. SELECT `id` FROM `g3ys_record` WHERE `subsite_id` = '26' AND `type` = 'article' AND `url` = 'https://www.thaitour.asia/spacex-shang-shi-bu-shi-zhong-dian-tai-kong-shu-ju-zhong-xin-cai-shi-da-xi' AND `create_time` >= 1786684760 AND ( `visitor_id` = '8cab7ed6a375580612fff6368a7eda9a' OR `session_id` = 'c552b130821a17b906386281a5f0983a' ) LIMIT 1 [ RunTime:0.001996s ]
  31. INSERT INTO `g3ys_record` SET `subsite_id` = '26' , `uid` = '0' , `visitor_id` = '8cab7ed6a375580612fff6368a7eda9a' , `session_id` = 'c552b130821a17b906386281a5f0983a' , `type` = 'article' , `target_id` = '4759' , `target_type` = 0 , `category_id` = '1237' , `title` = 'SpaceX IPO Is Not the End; Space Data Centers Are the Real Show' , `url` = 'https://www.thaitour.asia/spacex-shang-shi-bu-shi-zhong-dian-tai-kong-shu-ju-zhong-xin-cai-shi-da-xi' , `path` = '/spacex-shang-shi-bu-shi-zhong-dian-tai-kong-shu-ju-zhong-xin-cai-shi-da-xi' , `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` = '216.73.216.250' , `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` = 1786684820 , `update_time` = 1786684820 [ RunTime:0.004434s ]
  32. SHOW FULL COLUMNS FROM `g3ys_comment` [ RunTime:0.003312s ]
  33. SELECT COUNT(*) AS think_count FROM `g3ys_comment` WHERE `target_id` = '4759' AND `pid` = '0' [ RunTime:0.001142s ]
  34. SHOW FULL COLUMNS FROM `g3ys_model` [ RunTime:0.006604s ]
  35. SELECT `id`,`name`,`title`,`field_group` FROM `g3ys_model` WHERE `extend` = 0 AND `id` <> 1 AND `subsite_id` IN ('0','26') AND `status` = 1 [ RunTime:0.001402s ]
  36. SHOW TABLES LIKE 'g3ys_paragraph' [ RunTime:0.002150s ]
  37. SHOW TABLES LIKE 'g3ys_paragraph_lang' [ RunTime:0.002093s ]
  38. SHOW TABLES LIKE 'g3ys_gallery' [ RunTime:0.005099s ]
  39. SHOW TABLES LIKE 'g3ys_gallery_lang' [ RunTime:0.001983s ]
  40. SHOW TABLES LIKE 'g3ys_video' [ RunTime:0.002053s ]
  41. SHOW TABLES LIKE 'g3ys_video_lang' [ RunTime:0.002307s ]
  42. SHOW TABLES LIKE 'g3ys_faq' [ RunTime:0.001931s ]
  43. SHOW TABLES LIKE 'g3ys_faq_lang' [ RunTime:0.002022s ]
  44. SHOW TABLES LIKE 'g3ys_blockquote' [ RunTime:0.002733s ]
  45. SHOW TABLES LIKE 'g3ys_blockquote_lang' [ RunTime:0.002424s ]
  46. SHOW TABLES LIKE 'g3ys_cards' [ RunTime:0.001934s ]
  47. SHOW TABLES LIKE 'g3ys_cards_lang' [ RunTime:0.003304s ]
  48. SHOW TABLES LIKE 'g3ys_objects' [ RunTime:0.004422s ]
  49. SHOW TABLES LIKE 'g3ys_objects_lang' [ RunTime:0.005214s ]
  50. SHOW TABLES LIKE 'g3ys_videos' [ RunTime:0.004551s ]
  51. SHOW TABLES LIKE 'g3ys_videos_lang' [ RunTime:0.004112s ]
  52. SHOW TABLES LIKE 'g3ys_audios' [ RunTime:0.004546s ]
  53. SHOW TABLES LIKE 'g3ys_audios_lang' [ RunTime:0.005456s ]
  54. SHOW TABLES LIKE 'g3ys_files' [ RunTime:0.004524s ]
  55. SHOW TABLES LIKE 'g3ys_files_lang' [ RunTime:0.004179s ]
  56. SHOW TABLES LIKE 'g3ys_richmedia' [ RunTime:0.004365s ]
  57. SHOW TABLES LIKE 'g3ys_richmedia_lang' [ RunTime:0.004655s ]
  58. SHOW FULL COLUMNS FROM `g3ys_paragraph` [ RunTime:0.004818s ]
  59. SELECT * FROM `g3ys_paragraph` WHERE `document_id` = 4759 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001686s ]
  60. SHOW FULL COLUMNS FROM `g3ys_gallery` [ RunTime:0.008281s ]
  61. SELECT * FROM `g3ys_gallery` WHERE `document_id` = 4759 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001518s ]
  62. SHOW FULL COLUMNS FROM `g3ys_video` [ RunTime:0.004467s ]
  63. SELECT * FROM `g3ys_video` WHERE `document_id` = 4759 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001282s ]
  64. SHOW FULL COLUMNS FROM `g3ys_faq` [ RunTime:0.003609s ]
  65. SELECT * FROM `g3ys_faq` WHERE `document_id` = 4759 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001412s ]
  66. SHOW FULL COLUMNS FROM `g3ys_blockquote` [ RunTime:0.003409s ]
  67. SELECT * FROM `g3ys_blockquote` WHERE `document_id` = 4759 AND `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001305s ]
  68. SHOW FULL COLUMNS FROM `g3ys_cards` [ RunTime:0.003842s ]
  69. SELECT * FROM `g3ys_cards` WHERE `document_id` = 4759 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001714s ]
  70. SHOW FULL COLUMNS FROM `g3ys_objects` [ RunTime:0.004269s ]
  71. SELECT * FROM `g3ys_objects` WHERE `document_id` = 4759 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001398s ]
  72. SHOW FULL COLUMNS FROM `g3ys_videos` [ RunTime:0.004003s ]
  73. SELECT * FROM `g3ys_videos` WHERE `document_id` = 4759 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001578s ]
  74. SHOW FULL COLUMNS FROM `g3ys_audios` [ RunTime:0.003865s ]
  75. SELECT * FROM `g3ys_audios` WHERE `document_id` = 4759 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001495s ]
  76. SHOW FULL COLUMNS FROM `g3ys_files` [ RunTime:0.004414s ]
  77. SELECT * FROM `g3ys_files` WHERE `document_id` = 4759 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001348s ]
  78. SHOW FULL COLUMNS FROM `g3ys_richmedia` [ RunTime:0.003756s ]
  79. SELECT * FROM `g3ys_richmedia` WHERE `document_id` = 4759 AND `subsite_id` = '26' AND `status` = 1 ORDER BY `sort` ASC,`id` ASC [ RunTime:0.001543s ]
  80. SELECT * FROM `g3ys_document` WHERE `category_id` = 1237 AND `subsite_id` = 26 AND `pid` = '0' AND `status` = '1' AND ( ( sort > 0) or ( sort = 0 and id < 4759) ) ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002644s ]
  81. SELECT * FROM `g3ys_document` WHERE `category_id` = 1237 AND `subsite_id` = 26 AND `pid` = '4757' AND `status` = '1' ORDER BY `sort` ASC,`id` DESC LIMIT 1 [ RunTime:0.002220s ]
  82. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '4757' [ RunTime:0.014119s ]
  83. SELECT * FROM `g3ys_document` WHERE `category_id` = 1237 AND `subsite_id` = 26 AND `pid` = '4759' AND `status` = '1' AND `document_type` = 0 ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002925s ]
  84. SELECT * FROM `g3ys_document` WHERE `category_id` = 1237 AND `subsite_id` = 26 AND `pid` = '0' AND `status` = '1' AND `document_type` = 0 AND ( ( sort>0 and sort <= 0 and id!=4759) or ( sort = 0 and id > 4759) ) ORDER BY `sort` DESC,`id` ASC LIMIT 1 [ RunTime:0.002058s ]
  85. SELECT * FROM `g3ys_document_article_lang` WHERE `subsite_id` = '26' AND `lang` = 'en-US' AND `document_id` = '4761' [ RunTime:0.015303s ]
  86. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001632s ]
  87. SELECT * FROM `g3ys_total` WHERE `target_id` = '4759' LIMIT 1 [ RunTime:0.001146s ]
  88. SHOW FULL COLUMNS FROM `g3ys_ad_location` [ RunTime:0.004263s ]
  89. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-detail-full' AND `subsite_id` = '26' AND `status` = 1 LIMIT 1 [ RunTime:0.001454s ]
  90. SHOW FULL COLUMNS FROM `g3ys_ad` [ RunTime:0.004158s ]
  91. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '26' AND `ad_location_id` = '23' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786684820 ) AND ( `end_time` = 0 OR `end_time` >= 1786684820 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001356s ]
  92. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002831s ]
  93. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 23 AND `subsite_id` = '26' AND `lang` = 'en-US' [ RunTime:0.001023s ]
  94. SHOW FULL COLUMNS FROM `g3ys_ad_lang` [ RunTime:0.002828s ]
  95. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001119s ]
  96. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001156s ]
  97. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001046s ]
  98. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000855s ]
  99. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000970s ]
  100. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000919s ]
  101. SELECT * FROM `g3ys_ad_location` WHERE `name` = 'ad-right' AND `subsite_id` = '26' AND `status` = 1 LIMIT 1 [ RunTime:0.001228s ]
  102. SELECT * FROM `g3ys_ad` WHERE `subsite_id` = '26' AND `ad_location_id` = '25' AND `status` = 1 AND `device` IN ('all','pc') AND ( `start_time` = 0 OR `start_time` <= 1786684820 ) AND ( `end_time` = 0 OR `end_time` >= 1786684820 ) ORDER BY `sort` DESC,`id` DESC [ RunTime:0.001144s ]
  103. SELECT * FROM `g3ys_ad_lang` WHERE `ad_id` = 25 AND `subsite_id` = '26' AND `lang` = 'en-US' [ RunTime:0.000899s ]
  104. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001044s ]
  105. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000899s ]
  106. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000947s ]
  107. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000852s ]
  108. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001301s ]
  109. SHOW FULL COLUMNS FROM `g3ys_tags` [ RunTime:0.004288s ]
  110. SELECT * FROM `g3ys_tags` WHERE `subsite_id` = 26 AND `status` = 1 ORDER BY `sort` DESC,`id` DESC LIMIT 15 [ RunTime:0.002220s ]
  111. SHOW FULL COLUMNS FROM `g3ys_tags_lang` [ RunTime:0.003434s ]
  112. SELECT * FROM `g3ys_tags_lang` WHERE `tags_id` IN (719,717,715,714,713,712,711,710,709,708,707,706,705,704,703) AND `subsite_id` = 26 AND `lang` = 'en-US' [ RunTime:0.002957s ]
  113. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001154s ]
  114. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2052' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.001240s ]
  115. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2053' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.001435s ]
  116. SELECT * FROM `g3ys_category_lang` WHERE `subsite_id` = '26' AND `category_id` = '2054' AND `lang` = 'en-US' LIMIT 1 [ RunTime:0.000997s ]
  117. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.000952s ]
  118. SELECT * FROM `g3ys_route` WHERE ( `subsite_id` = '26' OR `subsite_id` = '0' ) AND `module` = 'home' AND `status` = 1 ORDER BY `sort` DESC,`id` ASC [ RunTime:0.001011s ]
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