{"id":187578,"date":"2024-11-11T15:26:18","date_gmt":"2024-11-11T07:26:18","guid":{"rendered":"https:\/\/server.hk\/cnblog\/187578\/"},"modified":"2024-11-11T15:26:19","modified_gmt":"2024-11-11T07:26:19","slug":"%e6%95%b8%e6%93%9a%e5%ba%ab%e5%84%aa%e5%8c%96%e6%8c%87%e5%8d%97%ef%bc%9a%e6%9b%b8%e7%b1%8d%e6%8e%a8%e8%96%a6-%e6%95%b8%e6%93%9a%e5%ba%ab%e5%84%aa%e5%8c%96%e6%96%b9%e9%9d%a2%e7%9a%84%e6%9b%b8%e7%b1%8d","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/187578\/","title":{"rendered":"\u6578\u64da\u5eab\u512a\u5316\u6307\u5357\uff1a\u66f8\u7c4d\u63a8\u85a6 (\u6578\u64da\u5eab\u512a\u5316\u65b9\u9762\u7684\u66f8\u7c4d)"},"content":{"rendered":"

\u6578\u64da\u5eab\u512a\u5316\u6307\u5357\uff1a\u66f8\u7c4d\u63a8\u85a6<\/h1>\n

\u5728\u7576\u4eca\u6578\u64da\u9a45\u52d5\u7684\u4e16\u754c\u4e2d\uff0c\u6578\u64da\u5eab\u7684\u6027\u80fd\u5c0d\u65bc\u4f01\u696d\u7684\u6210\u529f\u81f3\u95dc\u91cd\u8981\u3002\u96a8\u8457\u6578\u64da\u91cf\u7684\u589e\u9577\uff0c\u5982\u4f55\u6709\u6548\u5730\u7ba1\u7406\u548c\u512a\u5316\u6578\u64da\u5eab\u6210\u70ba\u4e86\u8a31\u591a\u958b\u767c\u8005\u548c\u6578\u64da\u5eab\u7ba1\u7406\u54e1\u9762\u81e8\u7684\u6311\u6230\u3002\u70ba\u4e86\u5e6b\u52a9\u60a8\u6df1\u5165\u4e86\u89e3\u6578\u64da\u5eab\u512a\u5316\u7684\u6700\u4f73\u5be6\u8e10\uff0c\u672c\u6587\u5c07\u63a8\u85a6\u5e7e\u672c\u5728\u6578\u64da\u5eab\u512a\u5316\u65b9\u9762\u7684\u7d93\u5178\u66f8\u7c4d\u3002<\/p>\n

1. \u300aSQL Performance Explained\u300b<\/h2>\n

\u4f5c\u8005\uff1a Markus Winand<\/p>\n

\u9019\u672c\u66f8\u5c08\u6ce8\u65bcSQL\u67e5\u8a62\u7684\u6027\u80fd\u512a\u5316\uff0c\u9069\u5408\u6240\u6709\u5e0c\u671b\u63d0\u9ad8\u6578\u64da\u5eab\u67e5\u8a62\u6548\u7387\u7684\u958b\u767c\u8005\u3002\u66f8\u4e2d\u8a73\u7d30\u4ecb\u7d39\u4e86\u5982\u4f55\u5206\u6790\u67e5\u8a62\u6027\u80fd\uff0c\u4e26\u63d0\u4f9b\u4e86\u591a\u7a2e\u512a\u5316\u6280\u8853\uff0c\u5305\u62ec\u7d22\u5f15\u7684\u4f7f\u7528\u3001\u67e5\u8a62\u91cd\u5beb\u548c\u57f7\u884c\u8a08\u5283\u7684\u5206\u6790\u3002\u66f8\u4e2d\u9084\u5305\u542b\u4e86\u5927\u91cf\u7684\u5be6\u4f8b\u548c\u5716\u8868\uff0c\u5e6b\u52a9\u8b80\u8005\u66f4\u597d\u5730\u7406\u89e3\u8907\u96dc\u7684\u6982\u5ff5\u3002<\/p>\n

2. \u300aDatabase System Concepts\u300b<\/h2>\n

\u4f5c\u8005\uff1a Abraham Silberschatz, Henry Korth, and S. Sudarshan<\/p>\n

\u9019\u672c\u66f8\u662f\u6578\u64da\u5eab\u7cfb\u7d71\u7684\u7d93\u5178\u6559\u6750\uff0c\u6db5\u84cb\u4e86\u6578\u64da\u5eab\u8a2d\u8a08\u3001\u67e5\u8a62\u8655\u7406\u3001\u4e8b\u52d9\u7ba1\u7406\u7b49\u591a\u500b\u65b9\u9762\u3002\u96d6\u7136\u5b83\u4e0d\u50c5\u50c5\u5c08\u6ce8\u65bc\u512a\u5316\uff0c\u4f46\u66f8\u4e2d\u5c0d\u65bc\u6578\u64da\u5eab\u7cfb\u7d71\u7684\u6df1\u5165\u5206\u6790\u548c\u7406\u8ad6\u57fa\u790e\uff0c\u5c0d\u65bc\u7406\u89e3\u6578\u64da\u5eab\u6027\u80fd\u7684\u63d0\u5347\u81f3\u95dc\u91cd\u8981\u3002\u7279\u5225\u662f\u5c0d\u65bc\u4e8b\u52d9\u7684\u7ba1\u7406\u548c\u4e26\u767c\u63a7\u5236\uff0c\u9019\u4e9b\u90fd\u662f\u5f71\u97ff\u6578\u64da\u5eab\u6027\u80fd\u7684\u95dc\u9375\u56e0\u7d20\u3002<\/p>\n

3. \u300aHigh Performance MySQL\u300b<\/h2>\n

\u4f5c\u8005\uff1a Baron Schwartz, Peter Zaitsev, and Vadim Tkachenko<\/p>\n

\u9019\u672c\u66f8\u5c08\u6ce8\u65bcMySQL\u6578\u64da\u5eab\u7684\u6027\u80fd\u512a\u5316\uff0c\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u5be6\u7528\u5efa\u8b70\u548c\u6280\u5de7\u3002\u66f8\u4e2d\u6db5\u84cb\u4e86\u5f9e\u786c\u9ad4\u9078\u64c7\u5230\u6578\u64da\u5eab\u914d\u7f6e\u7684\u5404\u500b\u65b9\u9762\uff0c\u4e26\u8a73\u7d30\u4ecb\u7d39\u4e86\u5982\u4f55\u4f7f\u7528\u67e5\u8a62\u5206\u6790\u5de5\u5177\u4f86\u8b58\u5225\u6027\u80fd\u74f6\u9838\u3002\u6b64\u5916\uff0c\u66f8\u4e2d\u9084\u63d0\u4f9b\u4e86\u8a31\u591a\u5be6\u969b\u6848\u4f8b\uff0c\u5e6b\u52a9\u8b80\u8005\u7406\u89e3\u5982\u4f55\u5728\u771f\u5be6\u74b0\u5883\u4e2d\u61c9\u7528\u9019\u4e9b\u6280\u8853\u3002<\/p>\n

4. \u300aThe Data Warehouse Toolkit\u300b<\/h2>\n

\u4f5c\u8005\uff1a Ralph Kimball and Margy Ross<\/p>\n

\u96d6\u7136\u9019\u672c\u66f8\u4e3b\u8981\u96c6\u4e2d\u5728\u6578\u64da\u5009\u5eab\u7684\u8a2d\u8a08\u4e0a\uff0c\u4f46\u5b83\u4e5f\u63d0\u4f9b\u4e86\u8a31\u591a\u95dc\u65bc\u6578\u64da\u6574\u5408\u548c\u67e5\u8a62\u6027\u80fd\u7684\u898b\u89e3\u3002\u6578\u64da\u5009\u5eab\u7684\u512a\u5316\u5c0d\u65bc\u5927\u6578\u64da\u5206\u6790\u81f3\u95dc\u91cd\u8981\uff0c\u66f8\u4e2d\u4ecb\u7d39\u7684\u7dad\u5ea6\u5efa\u6a21\u548cETL\u904e\u7a0b\u7684\u6700\u4f73\u5be6\u8e10\uff0c\u5c0d\u65bc\u63d0\u5347\u6578\u64da\u67e5\u8a62\u7684\u6548\u7387\u6709\u8457\u91cd\u8981\u7684\u6307\u5c0e\u610f\u7fa9\u3002<\/p>\n

5. \u300aDatabase Internals: A Deep Dive into How Distributed Data Systems Work\u300b<\/h2>\n

\u4f5c\u8005\uff1a Alex Petrov<\/p>\n

\u9019\u672c\u66f8\u6df1\u5165\u63a2\u8a0e\u4e86\u5206\u4f48\u5f0f\u6578\u64da\u7cfb\u7d71\u7684\u5167\u90e8\u904b\u4f5c\uff0c\u5c0d\u65bc\u5e0c\u671b\u4e86\u89e3\u6578\u64da\u5eab\u6027\u80fd\u512a\u5316\u80cc\u5f8c\u539f\u7406\u7684\u8b80\u8005\u4f86\u8aaa\uff0c\u9019\u662f\u4e00\u672c\u4e0d\u53ef\u6216\u7f3a\u7684\u8cc7\u6e90\u3002\u66f8\u4e2d\u6db5\u84cb\u4e86\u5b58\u5132\u5f15\u64ce\u3001\u67e5\u8a62\u8655\u7406\u3001\u4e8b\u52d9\u7ba1\u7406\u7b49\u4e3b\u984c\uff0c\u4e26\u63d0\u4f9b\u4e86\u8a31\u591a\u5be6\u969b\u7684\u6848\u4f8b\u5206\u6790\uff0c\u5e6b\u52a9\u8b80\u8005\u7406\u89e3\u5982\u4f55\u5728\u5206\u4f48\u5f0f\u74b0\u5883\u4e2d\u512a\u5316\u6578\u64da\u5eab\u6027\u80fd\u3002<\/p>\n

\u7e3d\u7d50<\/h2>\n

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