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\"\"<\/figure>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

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\u5185\u90e8\u4e00\u822c\u6307\u5728\u96c6\u7fa4\u73af\u5883\u6216\u8005\u5206\u5e03\u5f0f\u73af\u5883\u4e0b\u7684\u5404\u8282\u70b9\u4e4b\u95f4\u7684\u9ad8\u901f\u6570\u636e\u4ea4\u6362\u3002\u5916\u90e8\u4e00\u822c\u6307\u7684\u662f\u5404\u4e2a\u6570\u636e\u5e93\u901a\u8fc7\u5bf9\u5916\u8bbf\u95ee\u534f\u8bae\u4e0e\u5b58\u5728\u4e8e\u5ba2\u6237\u7aef\u7684\u9a71\u52a8\u8fdb\u884c\u4e92\u8054\u7684\u7f51\u7edc\u4ea4\u6362\uff1b\u9a71\u52a8\u7ec4\u4ef6\u662f\u652f\u6491\u6570\u636e\u5e93\u80fd\u6b63\u5e38\u63d0\u4f9b\u670d\u52a1\u7684\u914d\u5957\u72ec\u7acb\u7ec4\u4ef6\uff0c\u6570\u636e\u5e93\u7ba1\u7406\u7cfb\u7edf\u57fa\u4e8e\u5176\u901a\u7528\u7279\u6027\uff0c\u5f80\u5f80\u53ef\u4ee5\u5bf9\u4e0d\u540c\u8bed\u8a00\u5f00\u53d1\u7684\u8f6f\u4ef6\u63d0\u4f9b\u6570\u636e\u670d\u52a1\u3002\u4f46\u662f\u7531\u4e8e\u6570\u636e\u5e93\u672c\u8eab\u53ea\u5bf9\u5916\u63d0\u4f9b\u7f51\u7edc\u901a\u8baf\u534f\u8bae\uff0c\u5bf9\u534f\u8bae\u7684\u5c01\u88c5\u5219\u7531\u5ba2\u6237\u7aef\u4fa7\u7684\u4e0d\u540c\u9a71\u52a8\u7ec4\u4ef6\u5b8c\u6210\u3002\u901a\u5e38\u6709\u652f\u6301 JAVA \u8bed\u8a00\u7684 JDBC \u63a5\u53e3\u3001\u652f\u6301 C \u8bed\u8a00\u7684 ODBC \u63a5\u53e3\u548c C-API \u63a5\u53e3\u7b49\u3002<\/p>\n\n\n\n

(\u4e8c)\u6570\u636e\u5e93\u6280\u672f\u53d1\u5c55\u5386\u7a0b<\/strong><\/p>\n\n\n\n

\u4ece 20 \u4e16\u7eaa 60 \u5e74\u4ee3\u81f3\u4eca\uff0c\u6570\u636e\u5e93\u7684\u53d1\u5c55\u5386\u7a0b\u5927\u81f4\u5206\u4e3a\u4ee5\u4e0b\u4e09\u4e2a\u9636\u6bb5\uff1a<\/p>\n\n\n\n

1. \u524d\u5173\u7cfb\u578b\u9636\u6bb5 (1960-1970)\uff1a\u7f51\u72b6\u5c42\u6b21\u6570\u636e\u5e93\u521d\u5c1d\u63a2\u7d22<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u56fe 3 \u7f51\u72b6\u6a21\u578b\u4e0e\u5c42\u6b21\u6a21\u578b\u793a\u610f\u56fe<\/p>\n\n\n\n

\u6765\u6e90\uff1a\u4e2d\u56fd\u4fe1\u606f\u901a\u4fe1\u7814\u7a76\u9662<\/p>\n\n\n\n

1963 \u5e74\uff0c\u901a\u7528\u7535\u6c14\u516c\u53f8\u7684 Charles Bachman \u7b49\u4eba\u5f00\u53d1\u51fa\u4e16\u754c\u4e0a\u7b2c\u4e00\u4e2a\u6570\u636e\u5e93\u7ba1\u7406\u7cfb\u7edf\uff08\u4ee5\u4e0b\u7b80\u79f0 DBMS\uff09\u4e5f\u662f\u7b2c\u4e00\u4e2a\u7f51\u72b6 DBMS\u2014\u2014\u96c6\u6210\u6570\u636e\u5b58\u50a8\uff08Integrated Data Store\uff0cIDS\uff09\u3002\u7f51\u72b6DBMS\u7684\u8bde\u751f\u5bf9\u5f53\u65f6\u7684\u4fe1\u606f\u7cfb\u7edf\u4ea7\u751f\u4e86\u5e7f\u6cdb\u800c\u6df1\u8fdc\u7684\u5f71\u54cd\uff0c\u89e3\u51b3\u4e86\u5c42\u6b21\u7ed3\u6784\u65e0\u6cd5\u5efa\u6a21\u66f4\u590d\u6742\u7684\u6570\u636e\u5173\u7cfb\u7684\u5efa\u6a21\u95ee\u9898[5]\u3002<\/p>\n\n\n\n

\u540c\u65f6\u671f\u4e3a\u89e3\u51b3\u201c\u963f\u6ce2\u7f57\u767b\u6708\u201d\u8ba1\u5212\u5904\u7406\u5e9e\u5927\u6570\u636e\u91cf\u7684\u9700\u6c42\uff0c\u5317\u7f8e\u822a\u7a7a\u516c\u53f8(NAA)\u5f00\u53d1\u51fa GUAM(Generalized Update Access Method)\u8f6f\u4ef6\u3002\u5176\u8bbe\u8ba1\u601d\u60f3\u662f\u5c06\u591a\u4e2a\u5c0f\u7ec4\u4ef6\u6784\u6210\u8f83\u5927\u7ec4\u4ef6\uff0c\u6700\u7ec8\u7ec4\u6210\u5b8c\u6574\u4ea7\u54c1\u3002\u8fd9\u662f\u4e00\u79cd\u5012\u7f6e\u6811\u7684\u7ed3\u6784\uff0c\u4e5f\u88ab\u79f0\u4e4b\u4e3a\u5c42\u6b21\u7ed3\u6784[6]\u3002\u968f\u540e IBM \u52a0\u5165 NAA\uff0c\u5c06 GUAM \u53d1\u5c55\u6210\u4e3a IMS(Information Management System)\u7cfb\u7edf\u5e76\u53d1\u5e03\u4e8e 1968 \u5e74\uff0c\u6210\u4e3a\u6700\u65e9\u5546\u54c1\u5316\u7684\u5c42\u6b21 DBMS\u3002<\/p>\n\n\n\n

2. \u5173\u7cfb\u578b\u9636\u6bb5 (1970-2008)\uff1a\u5173\u7cfb\u578b\u6570\u636e\u5e93\u5927\u89c4\u6a21\u5e94\u7528<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u56fe 4 \u5173\u7cfb\u6a21\u578b\u793a\u610f\u56fe<\/p>\n\n\n\n

\u6765\u6e90\uff1a\u4e2d\u56fd\u4fe1\u606f\u901a\u4fe1\u7814\u7a76\u9662<\/p>\n\n\n\n

\u7b2c\u4e00\u9636\u6bb5\u7684 DBMS \u89e3\u51b3\u4e86\u6570\u636e\u7684\u72ec\u7acb\u5b58\u50a8\u3001\u7edf\u4e00\u7ba1\u7406\u548c\u7edf\u4e00\u8bbf\u95ee\u7684\u95ee\u9898\uff0c\u5b9e\u73b0\u4e86\u6570\u636e\u548c\u7a0b\u5e8f\u7684\u5206\u79bb\uff0c\u4f46\u7f3a\u5c11\u88ab\u5e7f\u6cdb\u63a5\u53d7\u7684\u7406\u8bba\u57fa\u7840\uff0c\u540c\u65f6\u4e5f\u4e0d\u65b9\u4fbf\u4f7f\u7528\uff0c\u5373\u4fbf\u662f\u5bf9\u8bb0\u5f55\u8fdb\u884c\u7b80\u5355\u8bbf\u95ee\uff0c\u4f9d\u7136\u9700\u8981\u7f16\u5199\u590d\u6742\u7a0b\u5e8f\uff0c\u6240\u4ee5\u6570\u636e\u5e93\u4ecd\u9700\u5b8c\u5584\u7406\u8bba\u4ece\u800c\u89c4\u6a21\u5316\u5e94\u7528\u843d\u5730\u3002<\/p>\n\n\n\n

\u7b2c\u4e8c\u9636\u6bb5\u5f00\u542f\u7684\u6807\u5fd7\u6027\u4e8b\u4ef6\u4e3a 1970 \u5e74\uff0cIBM \u5b9e\u9a8c\u5ba4\u7684 Edgar Frank Codd \u53d1\u8868\u4e86\u4e00\u7bc7\u9898\u4e3a\u300a\u5927\u578b\u5171\u4eab\u6570\u636e\u5e93\u6570\u636e\u7684\u5173\u7cfb\u6a21\u578b\u300b[7]\u8bba\u6587\uff0c\u63d0\u51fa\u57fa\u4e8e\u96c6\u5408\u8bba\u548c\u8c13\u8bcd\u903b\u8f91\u7684\u5173\u7cfb\u6a21\u578b\uff0c\u4e3a\u5173\u7cfb\u578b\u6570\u636e\u5e93\u6280\u672f\u5960\u5b9a\u4e86\u7406\u8bba\u57fa\u7840\u3002<\/p>\n\n\n\n

\u8fd9\u7bc7\u8bba\u6587\u5f25\u8865\u4e86\u4e4b\u524d\u65b9\u6cd5\u7684\u4e0d\u8db3\uff0c\u5e76\u4fc3\u4f7f IBM \u7684 San Jos\u00e9\u5b9e\u9a8c\u5ba4\u4e8e 1973 \u5e74\u542f\u52a8\u9a8c\u8bc1 RDBMS \u7684\u539f\u578b\u9879\u76ee System R\u30021972 \u5e74\uff0c\u6301\u4e45\u5316\u6570\u636e\u7ed3\u6784 B+\u6811\u7684\u5b58\u50a8\u6a21\u578b\u88ab\u53d1\u8868\u30021973 \u5e74\uff0cCharles William Bachman \u83b7\u5f97\u6570\u636e\u5e93\u754c\u7684\u7b2c\u4e00\u4e2a\u56fe\u7075\u5956\u3002<\/p>\n\n\n\n

1974 \u5e74\uff0c\u4f7f\u7528 BSD \u8bb8\u53ef\u8bc1\u7684 Ingres \u539f\u578b\u8bde\u751f\uff0c\u4e3a\u540e\u7eed\u5927\u91cf\u57fa\u4e8e\u5176\u6e90\u7801\u5f00\u53d1\u7684 PostgreSQL\u3001Sybase\u3001Informix \u548c Tandem \u7b49\u8457\u540d\u4ea7\u54c1\u6253\u4e0b\u575a\u5b9e\u57fa\u7840\u3002\u540c\u5e74\uff0cIBM \u5b8c\u6210\u4e86\u7b2c\u4e00\u7248\u672c\u7684\u5173\u7cfb\u578b\u6570\u636e\u5e93 System R\uff0c\u8be5\u9879\u76ee\u60f3\u65e8\u5728\u901a\u8fc7\u5b9e\u73b0\u6570\u636e\u7ed3\u6784\u548c\u64cd\u4f5c\u6765\u8bc1\u660e\u5173\u7cfb\u6a21\u578b\u7684\u5b9e\u7528\u6027 \uff0c\u8fd9\u5bf9\u540e\u6765\u5173\u7cfb\u578b\u6570\u636e\u5e93\u53d1\u5c55\u4ea7\u751f\u91cd\u5927\u5f71\u54cd\uff0c\u8be5\u9879\u76ee\u4fc3\u8fdb\u4e86\u7ed3\u6784\u5316\u67e5\u8be2\u8bed\u8a00\u2014\u2014SQL\u7684\u95ee\u4e16\u4ee5\u53ca\u4e4b\u540e\u5404\u7c7b\u5546\u54c1\u5316\u5173\u7cfb\u578bDBMS\u4ea7\u54c1\u7684\u8bde\u751f\u3002\u4ece\u5173\u7cfb\u6a21\u578b\u7406\u8bba\u9762\u4e16\u81f3\u4eca\u5df2\u7ecf\u8bde\u751f\u51e0\u767e\u4e2a\u9762\u5411\u5927\u578b\u673a\u548cPC\u73af\u5883\u7684\u5173\u7cfb\u578bDBMS\u3002<\/p>\n\n\n\n

1977 \u5e74 11 \u6708\uff0c\u4e2d\u56fd\u8ba1\u7b97\u673a\u5b66\u4f1a\u5728\u9ec4\u5c71\u53ec\u5f00\u7b2c\u4e00\u6b21\u6570\u636e\u5e93\u5e74\u4f1a\uff0c\u6210\u4e3a\u6211\u56fd\u6570\u636e\u5e93\u7406\u8bba\u7814\u7a76\u7684\u8d77\u6e90\u3002\u540c\u5e74\uff0c\u7f8e\u56fd\u7684 Larry Ellison\u3001Bob Miner \u548c Ed Oates \u5728\u7845\u8c37\u5171\u540c\u521b\u529e\u4e86\u4e00\u5bb6\u540d\u4e3a\u8f6f\u4ef6\u5f00\u53d1\u5b9e\u9a8c\u5ba4\uff08Software Development Laboratories\uff0cSDL\uff09\u7684\u8ba1\u7b97\u673a\u516c\u53f8\uff0c\u6536\u5230\u7684\u7b2c\u4e00\u4e2a\u8ba2\u5355\u662f\u6765\u81ea\u7f8e\u56fd\u4e2d\u592e\u60c5\u62a5\u5c40\u7684 Project Oracle \u9879\u76ee\u30021978 \u5e74\uff0cSDL \u53d1\u5e03 Oracle \u7b2c\u4e00\u4e2a\u7248\u672c\u30021979 \u5e74\uff0cSDL \u66f4\u540d\u4e3a\u5173\u7cfb\u8f6f\u4ef6\u6709\u9650\u516c\u53f8\uff08Relational Software\uff0cInc.\uff0cRSI\uff09\u5e76\u53d1\u5e03\u4e86\u5546\u7528\u7b2c\u4e8c\u7248\u4ea7\u54c1\u3002<\/p>\n\n\n\n

20 \u4e16\u7eaa 80 \u5e74\u4ee3\uff0c\u5173\u7cfb\u578b\u6570\u636e\u5e93\u8fdb\u5165\u5546\u4e1a\u5316\u65f6\u4ee3\u30021980 \u5e74\uff0c\u5173\u7cfb\u578b\u6570\u636e\u5e93\u516c\u53f8 RTI\uff08\u73b0\u540d Actian)\u6210\u7acb\u5e76\u9500\u552e Ingres\uff0c\u540c\u5e74\uff0c\u540d\u79f0\u53d6\u81ea\u201cInformation\u201d\u548c\u201cUnix\u201d\u76f8\u7ed3\u5408\u7684 Informix \u516c\u53f8\u6210\u7acb\u30021981 \u5e74\uff0cE.F.Codd \u5728\u6d1b\u6749\u77f6 ACM \u5e74\u4f1a\u4e0a\u83b7\u5f97\u6570\u636e\u5e93\u754c\u7684\u7b2c\u4e8c\u4e2a\u56fe\u7075\u5956\u30021983 \u5e74\uff0cRSI \u7684 Miner \u548c Scott \u5458\u5de5\u4f7f\u7528 C \u8bed\u8a00\u91cd\u5199\u4e86 Oracle \u5e76\u53d1\u5e03\u7b2c\u4e09\u7248\u672c\uff0c\u4f7f\u5176\u5177\u5907\u826f\u597d\u7684\u79fb\u690d\u6027\uff0c\u540c\u5e74 IBM \u53d1\u5e03 Database2 (DB2) for MVS\uff0c\u6807\u5fd7 DB2 \u6b63\u5f0f\u8bde\u751f\u30021984 \u5e74\uff0cSybase \u516c\u53f8\u6210\u7acb\u3002\u521b\u59cb\u4eba\u4e4b\u4e00 Bob Epstein \u662f Ingres \u5927\u5b66\u7248\u7684\u4e3b\u8981\u8bbe\u8ba1\u4eba\u5458\u30021985 \u5e74\uff0cInformix \u53d1\u5e03\u7b2c\u4e00\u6b3e\u4ea7\u54c1\u3002<\/p>\n\n\n\n

1984 \u81f3 1985 \u5e74\uff0cOracle \u516c\u53f8\u4f9d\u6b21\u53d1\u5e03\u7b2c\u56db\u548c\u7b2c\u4e94\u7248\u672c\uff0c\u5b8c\u5584\u4e86\u4ea7\u54c1\u7684\u7a33\u5b9a\u6027\uff0c\u4e8e 1986 \u5e74\u516c\u5f00\u4e0a\u5e02\uff0c\u540c\u5e74\uff0c\u6570\u636e\u5e93\u6807\u51c6\u5316\u8fce\u6765\u5386\u53f2\u6027\u8fdb\u5c55\uff0c\u7f8e\u56fd\u56fd\u5bb6\u6807\u51c6\u5c40(ANSI)\u6570\u636e\u5e93\u59d4\u5458\u4f1a\u6279\u51c6 SQL \u4f5c\u4e3a\u6570\u636e\u5e93\u8bed\u8a00\u7684\u7f8e\u56fd\u6807\u51c6\u5e76\u516c\u5e03\u6807\u51c6 SQL \u6587\u672c\u3002<\/p>\n\n\n\n

1987 \u5e74\uff0c\u56fd\u9645\u6807\u51c6\u5316\u7ec4\u7ec7(ISO)\u4e5f\u505a\u51fa\u4e86\u540c\u6837\u51b3\u5b9a\uff0c\u5bf9 SQL \u8fdb\u884c\u6807\u51c6\u5316\u89c4\u8303\u5e76\u4e0d\u65ad\u66f4\u65b0\uff0c\u4f7f\u5f97 SQL \u6210\u4e3a\u5173\u7cfb\u578b\u6570\u636e\u5e93\u7684\u4e3b\u6d41\u8bed\u8a00\u3002\u6b64\u540e\u76f8\u5f53\u957f\u7684\u4e00\u6bb5\u65f6\u95f4\u5185\uff0c\u4e0d\u8bba\u662f\u5fae\u673a\u3001\u5c0f\u578b\u673a\u8fd8\u662f\u5927\u578b\u673a\uff0c\u4e0d\u8bba\u662f\u54ea\u79cd\u6570\u636e\u5e93\u7cfb\u7edf\uff0c\u90fd\u91c7\u7528 SQL \u4f5c\u4e3a\u6570\u636e\u5b58\u53d6\u8bed\u8a00\uff0c\u5404\u4e2a\u516c\u53f8\u7eb7\u7eb7\u63a8\u51fa\u5404\u81ea\u652f\u6301 SQL \u7684\u8f6f\u4ef6\u6216\u63a5\u53e3[8]\u3002\u540c\u5e74 5 \u6708\uff0cSybase \u53d1\u5e03\u9996\u6b3e\u4ea7\u54c1 Sybase SQLServer1.0\uff0c\u4e5f\u662f\u9996\u4e2a\u57fa\u4e8e Client\/Server \u6570\u636e\u5e93\u4f53\u7cfb\u7ed3\u6784\u601d\u60f3\u7684\u5b9e\u73b0\u30021988 \u5e74\uff0c\u56fd\u5185\u7b2c\u4e00\u4e2a\u6570\u636e\u5e93\u7ba1\u7406\u7cfb\u7edf\u539f\u578b CRDS \u7531\u534e\u4e2d\u7406\u5de5\u5927\u5b66\uff08\u73b0\u4e3a\u534e\u4e2d\u79d1\u6280\u5927\u5b66\uff09\u7684\u51af\u88d5\u624d\u56e2\u961f\u7814\u53d1\u6210\u529f\u3002<\/p>\n\n\n\n

20 \u4e16\u7eaa 90 \u5e74\u4ee3\uff0c\u9762\u5411\u5bf9\u8c61\u7684\u6570\u636e\u5e93\u51fa\u73b0\uff0c\u4f46\u662f\u6ca1\u6709\u5546\u4e1a\u5e94\u7528\u6210\u529f\u6848\u4f8b\u30021991 \u5e74\uff0c\u5fae\u8f6f\u53d1\u5e03 Access\u30021994 \u5e74\uff0c\u57fa\u4e8e Ingres \u7684 Postgres95 \u8bde\u751f\uff0c\u4e8e 1996 \u5e74\u88ab\u547d\u540d\u4e3a PostgreSQL\u30021995 \u5e74\uff0cMySQL \u5728\u745e\u5178\u53d1\u884c\uff0c\u5f00\u53d1\u51fa\u7b2c\u4e00\u4e2a\u9762\u5411\u4e92\u8054\u7f51\u7684\u6570\u636e\u5e93\u5e94\u7528\u30021998 \u5e74\uff0c\u6570\u636e\u5e93\u754c\u7684\u7b2c\u4e09\u4e2a\u56fe\u7075\u5956\u6388\u4e88\u4e86 James Gray\uff0c\u4ee5\u8868\u5f70\u4ed6\u5728\u4e8b\u52a1\u5904\u7406\u6280\u672f\u7684\u5f00\u62d3\u6027\u6210\u679c\u3002\u81f3\u6b64\uff0c\u5173\u7cfb\u578b\u6570\u636e\u5e93\u7406\u8bba\u5f97\u5230\u4e86\u5145\u5206\u7684\u5b8c\u5584\u3001\u6269\u5c55\u548c\u5e94\u7528\uff0c\u5728\u540e\u5173\u7cfb\u578b\u9636\u6bb5\uff0c\u5173\u7cfb\u578b\u6570\u636e\u5e93\u4ecd\u5728\u53d1\u5c55\u6f14\u8fdb\uff0c\u4ece\u672a\u4e2d\u6b62\u3002<\/p>\n\n\n\n

3. \u540e\u5173\u7cfb\u578b\u9636\u6bb5 (2008-\u81f3\u4eca\uff09\uff1a\u6a21\u578b\u62d3\u5c55\u4e0e\u67b6\u6784\u89e3\u8026\u5e76\u5b58<\/strong><\/p>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

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  • \u4ee5 Greenplum \u4e3a\u4ee3\u8868\u7684 Shared-Nothing \u67b6\u6784\uff0c\u901a\u8fc7\u591a\u8282\u70b9\u534f\u540c\u5de5\u4f5c\u6269\u5927\u5206\u5e03\u5f0f\u5b58\u50a8\u80fd\u529b\u7684\u540c\u65f6\uff0c\u76f8\u5e94\u7684\u8fd8\u901a\u8fc7 MPP \u67b6\u6784\u53ef\u4ee5\u652f\u6301\u591a\u7ea7\u5e76\u884c\u8ba1\u7b97\u5904\u7406\uff0c\u589e\u5f3a\u67e5\u8be2\u548c\u5206\u6790\u80fd\u529b\u3002<\/li>
  • \u4ee5 Kylin \u4e3a\u4ee3\u8868\u7684\u591a\u7ef4\u6570\u636e\u5e93\u4ea7\u54c1\uff0c\u4ee5\u53ca\u4ee5 OpenTSDB \u4e3a\u4ee3\u8868\u7684\u65f6\u5e8f\u6570\u636e\u5e93\uff0c\u4f7f\u7528\u5176\u5b83\u5206\u5e03\u5f0f\u6570\u636e\u5e93\u4f5c\u4e3a\u540e\u53f0\u5b58\u50a8\uff0c\u901a\u8fc7\u6784\u5efa\u76f8\u5e94\u7684\u6570\u636e\u6a21\u578b\u548c\u7d22\u5f15\u6280\u672f\uff0c\u6269\u5c55\u6210\u4e3a\u65b0\u7684\u6570\u636e\u5e93\u3002<\/li><\/ul>\n\n\n\n

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    \u5218\u601d\u6e9013691032906liusiyuan@caict.ac.cn
    \u9a6c\u5609\u616715596670369majiahui@caict.ac.cn\u5b9e\u9a8c\u5ba4\u6210\u5458\u5355\u4f4d<\/strong><\/p>\n\n\n\n

    \n\n\n\n

     [1] GB\/T 5271.17-2010\u300a\u4fe1\u606f\u6280\u672f \u8bcd\u6c47 \u7b2c 17 \u90e8\u5206\uff1a\u6570\u636e\u5e93\u300b<\/p>\n\n\n\n

    [2]\u300a\u6570\u636e\u5e93\u7cfb\u7edf\u6982\u8bba\uff08\u7b2c 5 \u7248\uff09\u300b\uff0c\u738b\u73ca\u3001\u8428\u5e08\u714a\u3002<\/p>\n\n\n\n

    [3]Google File System\u3001Google Bigtable \u548c Google MapReduce<\/p>\n\n\n\n

    [4]TM Connolly\uff0cCE Begg ,Database Systems: A Practical Approach to Design, Implementation and Management 4th Edition (England: Addison Wesley, 2005), p.16<\/p>\n\n\n\n

    [5]TM Connolly\uff0cCE Begg ,Database Systems: A Practical Approach to Design, Implementation and Management 4th Edition (England: Addison Wesley, 2005), p. 24.<\/p>\n\n\n\n

    [6]\u51fa\u5904\u540c\u4e0a<\/p>\n\n\n\n

    [7]   \u300aA Relational Model of Data for Large Shared Data Banks\u300b<\/p>\n\n\n\n

    [8]\u5434\u9e64\u9f84.\u5173\u7cfb\u6570\u636e\u5e93\u7684\u6807\u51c6\u8bed\u8a00\u2014\u2014SQL[J].\u8ba1\u7b97\u673a\u7814\u7a76\u4e0e\u53d1\u5c55,1989(06):7.<\/p>\n","protected":false},"excerpt":{"rendered":"

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