redis数据类型及常用命令介绍（图文实例）

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j2rZftCkauGJE+f762Nuuuk7MMjMwDP/OFUuYukJPu6mBgqAMDg/Ianw3i6fCM8HFQ6ezs7SMUT2JhLYapxRAMbj96rAtoM7rxcMCBX99M4MZLE+732vC3x4P4qtWA7zrHceftJP7sd6BlxIVO8yz67EswuP1wLq/D5Y9gKRRHcGMTsa1tbO/uC32O5XoMhjRRX7t+I28kSLtO0rd5loGRuWsl80DMYnaTyNn1wcBQBwYG5TQbjKJt1CN8HHRym6ldrKwnMO1bh8Htx5vJebQYXLjfa8P3neP4onkYv7+bwo0XY/jlzQQeDDjQZnTjrXUBBrcftsUQ5tdiCMW2sLMnNhJOyxeO420ZnUXS0tb+wTEThSLhfG3tUYwUGxgnOQZDTmBIf5ZOY03frZK5gnGvoVFWYPAYDHVgYFBW8eQOvmo1CB8H5RdLbmMxFMPE/Cre25fQZnTj93dT+K5zHD++MuNfz0bwwyszGvqm0Gr4683oxjwBuPwRBKKbSO7sCX8OookMjFxnlJit9pxfP+kKhpzJPdt1MOSsYEiUCgw5qy0MjPLHwKCsvm4zIra1LXwcdIhwPImZlXWMuFbw0uRFQ98U/ux34LOmQXzdasTPryfweHAaryxzMLj9mFlZRzC6ib39A+FjrwQid5Gk7/qQPp8eDplfTw+KYgNDuk+hszdOewxGtsBIPxOl0CoKr4OhHgwM+kBD3xSmfevCx1FNEqkdzK1uwOBaQffEHP54b8d/Okz4VKvHty/G8Pu7KTwf9WBw2odp3zpC8S0GhEKq6VLhJzm2oZgVjEwnOciTV/JUDwYGHfN6Yg7vppaEj0OtNra24fJHMDSzglajG/W6SXz5zIAvnxlw5+0kWo1uDM+swLkcxurGFg7KYMxqV02BIU3got7voxC+F4m6MDDoiHVhDY/0TuHjUIP9gwMshWIY9fjxYsyDet0kvmgewe1uC+732vBizAODawWzwQ0kUjvCx1vNqi0wiIFxVhgYhMPDQ6wnUrjfaxM+jkq0tb0Llz+CEZcf2sFpfNcxjr89HsTtbgueGdwYmvkrJJI7u8LHSh9iYFAsycAoBQYG4fDwEN93jiMQ3RQ+jnKX2tmDJxBFv2MZj/ROfPtiDP9sGcH9XhsGHMuYnF9FcIPfx0pyRzcpfHIj8aQru5JyGBiEzvFZDDiXhY+jHPnW4zC4/Wg1unHzpQn/aB7G3R4rusyzsC6sIRxPCh8jnc5DvROeQFT4BEfiuP0RaLl7WHEMjCrnCURwt4e7Rg4PD5Hc+euy0m8m53G3x4bPnwzhx1cWtBndsMytYi22JXyMpLxIIoV6nRVuf0T4REcC4iIQQb3OiuhmSvjPotowMKrcZ02DVXu6Yzy5A+vCGp6PetD43o4vmofR0DeFXtsiPIEIdiv8ypUkXySRwiO9E/U6a9b3LSF1qu+xQTvoZFyUCAOjiv3Z74B9KSR8HGclltzG5Pwq2oxufNc5jq9aDXikd2LEtcLjJoiIFMbAqFKWuSDajG7h4yilg4NDTPvW8dLkRb3Oiq9bjdAOTsPg9iPIA1qJiEqKgVGlPtXqVXkRJ996HP2OZdztseLTx3o09E1hcNqH4AaPnyAiOksMjCr0zODGqMcvfBxKODg4xNRSCC0jLtztteHHVxZ0mWfhCUSFj42IqJoxMKrM3OoG7rydFD6O09jY3IbB7UdD3xQ+fazHg34HxrwBbG3zQlZEROWCgVFlbrw0IVSBp1uubmyh17aIX99O4pvnRrQZ3XxDNiKiMsbAqCLvppbwemJO+DjkCkQ30WNbxK0uM/7TYcKbyXn41hPCx0VERIUxMKrE1s4e/tMxLnwchaxtbOG9fQnfd47j+85xvJ2chz/CqCAiqjQMjCrRanTD6C7PAzu3d/cx4vLj59cW3Owwod+xzPdFISKqcAyMKhCKJ3HjxZjwcWSyL4XwcMCBvz8dwvNRNxZDceFjIiIiZTAwqsDDASdsi2vCx3F4+FfsdJlnca/Xhj/7HbAtVs+VRImIqgkDQ+WWQnH89NoifByTC2u422PFjRdj6HcsY3t3T/iYiIiodBgYKvebzgpvUMxFp2LJbby3L+GL5mFo//uW2KK/H0REdDYYGCo2u7qBp8MzZ/64S+E4moam8XWrEQa3H8kdrlYQEVUbBoaK/dFnh9MXPrPHsy+FUK+bxO1XZljmVoU/fyIiEoeBoVJrG1u42WE6k8canw3iwYADf/Y7MBvcEP7ciYhIPAaGSrUaXDCU+LoXY94ArreP4enwDNYTSeHPmYiIygcDQ4W2d/fx96dDJdu+yRvAteejaBlxMSyIiCgrBoYK9doW8WZyXvHt2pdC+PbFGLrMs4hupoQ/TyIiKl8MDBVq6JtCcke5ty5fCsdx5+0k/ux3IBznigURERXGwFAZx3IYje/timwrubOLVoMLP3VbMLfKgzeJiEg+BobKPNI7YV04/WXB9U4fvmgewRQv5U1ERCfAwFCRvf0DfNY0eKptLIXi+L5zHB3jXuHPh4iIKhcDQ0WMbj9aje4T3/+tdQE/vbbwrdKJiOjUGBgqcuft5ImOlfCtx/HNcyMsc0Hhz4GIiNSBgaESkUQSt1+Zi75fr20RP76yYGNzW/hzICIi9WBgqMTgtA8vTcUdN/FkeKYk18sgIiJiYKjE7++mMLOyLuu2y+E46rR6+NbjwsdNRETqxMBQiTqtXtbtjG4/bndbhI+XiIjUjYGhAtO+dTT0TRW8nc66cKqzTIiIiORiYKjAizEPhmZW8t7myfAMxrwB4WMlIqLqULLAWFlPoNXoxu1uC+q0eqKKcbvbgjajG8ENXg+EiOikShIYg9M+fN40JHyiIDqNz5uGMOLKvzJERETZKR4YL8Y8wicGIiUNTvuEv1CJiCqN4oFx7B/nR+InB6KiPR7E/zwaOPr/z5uGsLaxJfzFSkRUSUobGESVLC2Qi72IGRFRtWNgEMnw65sJ4S9WIqJKwsAgkuHzpiHhL1YiokrCwCCSSfSLlYiokjAwiGQS/WKl0gnHk3g44EC9zir854xOp15nxcMBJyKJlPCfq2rHwCCSSfSLlUojHE+iXmeFNxhFLLlDKuANRFCvszIyBGNgEMkk+sVKpfGg38G4UCF3IIJHAw7hP1/VjIFBJJPoFyuVRr3OKnwypNKo77EJ//mqZgwMIplEv1ipNOq0euETIZUGX7diMTCIZBL9YqXSqNMyMNSKr1uxGBhEMol+sVJp1GkZGGrF161YDAyFtBjcAJDz6/rpFWzt7MveXrG3r9Pq4fBFsBLdKnpbhcZ+krFmG0uLwV30c1J6rKch+sVKpVGnZWCoFV+3YjEwtHps7ewfmwwBQD+9oujEV6rAWIluweGLoE57fFLP9Wc5Y5fzkf79ke4PAC0Gd9bHdPgiAPDBOFaiW3kfZyW6dex7wcCgUvybJXoiLMRstRe8zeUrV6HRaDA8avrga+dqaqDRaLI6V1Nz7LYXLl7C5StX8z6WRqMpavyXr1z94HEYGOrHwNB+GBjFKDRB5vqQouCkH+nj3drZh3565WhSz5zcpa8XExj5bp9reyvRraxRI21fio9C28yMKwYGlVKpAuN8bS2uXb+Rd5KWEw6FthNL7uBeQ6OsCXx41JT1dulRkf7nfGEiJ1aKDRcGhrowME4ZGLkm6UzFrmBkC4lCcu2WyPWR7WtSMJ0kMAqNpdDfAQODSskbiEJnXYAvHP/g3ywRgaHkds7V1OBeQ2PBbV2+cjXrJJ8rMPLFUbHPY3jUdKL7MTAqV0UGhjThSJNh+mSUuaKQ7bfmrZ39YxNqoV0k6bfPNfnmm8ilD7mBIa0EbO3sY2tnP+dv/oUeU9pO+nPLNkGfdBeJnOec68Phi8i+v8MXYWDQqTSPuI79XTaPuI79myUiMNJXMK5dv3FsJUD6/Pna2qPPffTxJ1m3I3f1QnrMTPkCQ4oCuQpFzoWLl2SFEANDHSo2MIDc+/Mzb5cZC9mCJFdgZMaHtM3MSV+pFQzpdtJ/WwxuWSsB0ooBgA8m41yrAfkCI9sxFunfw3wrGFIUFLOCkf495QoGKWlqMZT171NayajTig2Mlrb2Y7/ZZ/5/oe3I3fVw+cpVXLh4KWuYnMUKRrYxMDDUraIDI32SlyaezIlPWgnIFwf5AkOaLAuNSakVDGl86ZOqdKBjvsd1+CLHjsHY2tk/+m/6hJxvN4rcwMglPfCyBU8u6SsU2QIj31iJCvmfHJ+v77GWZWAUux25u0cyDwDNFRXSn4tdvZBkO8g0W9QwMNSvogMj/XPSWQr5bps5kUny7SKRO0kqsYIhRUG222cLo8zbpMdDepSkP5/0x8gcuxQpcj+k8Ugf6VEibUf6/qd/ZIuX9M+Va2CIfrHSyXgD0ax/n+WygiHdVpqgW9raFQ8MKRouXLyECxcvHcWDFANyVzCk+12+cvVEuzoYGNVFdYGR60OadLNNXJnHKeSaLKWPzLMjTvqRbwzZdhPkm1jzHaiavm0g+woOcPzMlmyrQ7n+HuSs8GTeRxpPtuDJ9fwyv/8MDJKr3I/BkHz08SdZj8M4TWAMj5qOdktIf9ZoNMd2VcgNjPQoSf+zdLZJvtULBkb1UV1g5LvfSVYwsm0j16SaeXxH5nhzbTNb+OS6eFX6c8y2OpD+kX5MgzTmbNGSbReJnMA4yfe6mL/j016US2miX6x0Or5wHG/L6CySfKeppt9XqWMwJNL1MnJtI9v27jU0fhAl6btQCoVF+mPzGIzqoZrAyHV8RfpEd5JjMHIFQaGLSGVOyumrHenbyjxGotAEm3kgq9xdDNLj5DsDJnN7+T5OexZJ5nU6TnpfBgYp8W+WyMDIPAbDbLUXtYJxr6FR9qSd72JcuYLlXE3N0dkf2R4nMzzykXu8CANDHVQTGHIn32LPIgGOr1akbzN9EpYug53vI/MYh8znUehDGkf6ioe0vcyzLDIjSm5gSEGWbwUh13Yytyd390euv2OuYNBZKGVgZDsIUjrdND0i0neNZB6HIZ3Cmus0VWlbhVYRpN0YhcadeZCntF0pMKRISd+WtMKRbxy8Dkb1UVVgpAdD+iSeeZtir4ORa6LPpxTv7yHn8bI9Zymq5JxiK0XBSQMj87iMXLuNlH7+Z0H0i5VKo05b/pcKL6TQsQ2Fdk2kB0KuSJCO3Tjp1Th5Jc/qU5GBUU4K7UrI9aHkBCsFU/pprdKf0z9fpz1+dkfmc0gPNzm7SLKNIVvAZK70nPZ7J/d7yMAguf9miQ4EJVy4eEnI+33IwfciqU4MjAqW64Jjddrjp57mup9pdvVospaOK8l1ue50UmCk7+6RuyskPUREf/+KJfrFSqVRp1VHYBADo9wwMIhkEv1ipdKo0zIw1IqvW7EYGEQyiX6xUmnc0U0KnwipNOp1VuE/X9WMgUEkk+gXK5XGQ70TnkBU+GRIynL7I9DqncJ/vqoZA4NIJtEvViqNSCKFep0Vbn9E+KRICsVFIIJ6nRXRzZTwn69qxsAgkkn0i5VKJ5JI4ZHeiXqdVfjPGZ1OfY8N2kEn46IMMDCIZBL9YiUiqiQMDCKZRL9YiYgqSekC45H4CYHoVNJ+hn/stgh/sRIRVZKSBcb/MDCowqX/DD8zuIW/WImIKknpAkOrR512EHWPB4VPFERF+e/P7P+kfc4fSQh/sRIRVRLFA6N9zCN+giBSkN7pE/5CJSKqNIoHxuHhIYZmVvB505DwiYHoND5vGsLQzIrwFykRUSUqSWAcHh5iZT2BVqMbP3ZbhE8URMW43W1Bm9GNQHRT+AuUiKhSlSww6Oy8GPMU/E27ecSFUY9f+FiJiKg6MDBUYGZlHb+/myp4u3dTS2gecQkfLxERqR8DQyXqtPIuBGXyBvDDKzMODsSPmYiI1IuBoRK/v5vCzMq6rNuurCfw6WM9FkMx4eMmIiJ1YmCoxOC0Dy9N3qLu0zziQrdlTvjYiYhIfRgYKhFNpPDjq+IvZ91nX8KtLjPWE3znQSIiUg4DQ0XqdZOYDca1ZtQAABZ6SURBVG4UfT9/JIHr7aMwzQaFPwciIlIHBoaKjHr8p3rPDJ1tAbe7LVhZ52WxiYjodBgYKrK3f4DPmgZPtY3lcBw/vDLjxZhH+PMhIqLKxcBQGa3eicmFtVNvZ2hmBX9/OqzItoiIqPowMFTG6Qvjjz67Itva3t3D81EPfuy2wBuICn9uRERUORgYKtTQN4Xkzq5i2/OF4/itx4o/+uxY29gS/vyIiKj8MTBU6N3UIl5PzCu+XacvjJsdJnSMz2I9kRT+PImIqHwxMFRod28fnz8ZKtn2zXNBXG8fw9PhGYRiXNEgIqIPMTBUqs3ohsFd2ndPHZ8N4sZLE5qGphGKcUWDiIj+HwaGSq3FtnDzpelMHssyt4qHeif+6LPDw4NBiYjokIGhao3v7XAsh8/s8Zy+MO72WPHDKzPGeVVQIqKqxsBQsbnVDTwZmjnzx11ZT+Dp8Ay+fGbAyMwKNlPKndFCRESVgYGhcnd7rMJ2WyRSOxhw+vCvZyN4OOCAyx8R/v0gIqKzwcBQuaVQDLe7i3+XVaXZFkO432vD9fZR9NmXsLW9J3xMRERUOgyMKvBI74S1TC75vZ5Iodsyh9/fTeGPPjsvRU5EpFIMjCoQjifx7Ysx4ePI5PSFodU78VnTIFoNLsyvxYSPiYiIlMHAqBKtRjcMrhXh48hmb/8ABrcfv76ZwLcvxvDevsy3jCciqnAMjCqR3N3DfzrO5roYpxGOJ9HvXMYPr8y42WHC64k5+NbjwsdFRETFYWBUkT77Erotc8LHIdfaxhbeTS3hx1cW3Hgxhm7LHJZC3I1CRFQJGBhV5maHqSLfETUUT6LPvoTfdFZ81WpAq9F9phcRIyKi4jAwqszCWgy/vJkQPo7TiCd3YHT70fjejjqtHn+8t8Po9iOe3BE+NiIi+gsDowq1Gt0wlviN0M6SczmMVqMb999N4VaXGR3jXl7Ui4hIMAZGlfrb40HsHxwIH4fS/JEE9E4f7vfaUKfV436vDQPOZQQim8LHRkRUTRgYVWpifhWtRrfwcZSayx9B5/gs7vbY8OUzAx4OODE8swJ/hKfBEhGVEgOjij0ccMC2GBI+jrOSSO3AtriG9jEPbnWZ8c+WETwYcGBw2gc/VziIiBTFwKhynzcNYXd/X/g4RNja3sXUYggvTV78+d6Bvz8dwv1eG95OzmNmZR2pXb5fSrUIx5N4OOBAvc6KOq2eqKB6nRUPB5yIJFLCf37LFQOjynmDUfymswofRznY3t2Hyx9Bj20Rv7+bwj+eDuNWlxmtRjfMs0EEo1zlUKNwPIl6nRXeYBSx5A6RbN5ABPU6KyMjBwYGocs8i37HsvBxlCN/JAGj2482owvfdY7jf58MoV43iY5xLyxzq1iLVd41Rei4B/0OxgWdmDsQwaMBh/Cf43LEwCAcHh7iVpeZBz7KsLO3j9ngBvROH5qGpnHzpQn/aB7G3R4r3juWYZ4L8vtYYep1VuGTFFW2+h6b8J/jcsTAIBweHiK6uY377/giOYnUzh48gSgMbj+eDM3gVpcZdVo9fnxlQfOIC/ppHzyBCBIpXgisHNVp9cInKKpsdVq98J/jcsTAoCNTiyE84FKfYnzrcZi8AXSYvEenyf7wyoLfeqx4PurGiGsFnkAUseS28LFWMwYGnRYDIzsGBh3zZnIevbZF4eNQq3hqB95AFCMuP56PenC3x4qvW434onkEv7yZwDODG4MzK5haCiEQ3cTevvouhlZuGBh0WgyM7BgY9IHG93a+kdgZS+7sYmEthlGPH28m5/Gg34HvO8fxWdMg/t0+irs9NrQa3RhwLsOxHMbqxiZ29qrz9GKlMTDotBgY2TEwKKtrz0cR3eSpV+UgkkjBE4jA4FpB5/gsGt/b8XDAif99MoQvnxlwu9uCR3onOsdnMTyzAudyGP5IAtsMEFnKPTDMVnvB21y+chUajQbDo6asX9doNLIVeqxzNTU5HyfdvYbGY9s7V1ODCxcvFf38NRpNUfe7fOUqztXUMDDKAAODskqkdvDlM4PwcVDhv6elUAzWhTUMOJfRPubBH+/tuNVlxo+vzPiieRjfd47jfq8NLQYX3k7Ow+D2Y9q3jpX1BDZTu8Kfg2ilDIyPPv7k2OT90cefFHX/87W1uHb9RsGJvNgJ9V5D44km+2Im8HM1NbKCJt+2NBrN0ePda2iUPcYLFy/h8pWrDAzBGBiU09xqDM8MLuHjoJNL7uwhEN2Eyx/BmCeAHtsiWg0uNPRN4YdXZvzr2Qjuv5vC9fZR/PTagsb3drQa3Xg9MY+hmRVMLqxhNriB4MYmkjuVfWVTbzAKnXUBvnD82OdLFRgfffzJB0Fxvra2qMiQExjFTr5SJMiZgOVGgkRa2bhw8dIH4SD3MdPjIn2lpJjnOTxqkrUaw8AoLQYG5WWZW0XT0LTwcVDp7O0fYD2RwlIoDsdyGEa3H++mFvFizAOt3ol63SS+6xjH7++mUKfV41/PRnDzpQk/v57AH312PB2ewUuTF722RYy4/LAvhzHtW8fCWgz+SALRzZTwOGkecR27zHPzyP8L51IFhkaj+WD3Rktb+wcT3/na2qMJ+nxtbdbP54qSk6xeSAEgNzDk7A7JDIliwiRz+5m7Vk4ybum2xYYXA0NZDAwqSD/tQ4fJK3wcVB42U7tYi21hMRSD0xfG+GwQg9M+vJmcx/NRN7rMc2jom8IvbyZwq8uMa89H8UXzMOq0evzj6TC+eW7E953j0A46cbfHhsb3djwenEaLwYUXYx68ssyhx7aIAecyDG4/xmeDmFoMwb4UwrRvHZ5ABHOrG1gMxeELxxGIbmIttoX1RArxrR3EkztIpHawtb2L5M4eLPOrWd9LQlrJKFVgyFmtyFyhuHb9xgeRkW8FQ86EW8wKROZxGFJgSMd4FAqF4VHT0cR+khUMJXarpD/eSXcDMTCUwcAgWXg5cVJCancPG5vbCEQ3sRSKwxOIwLEcxsT8KsY8AQzNrOC9fQlvJ+fROT6LNqMbT4dn0Gp04c9+Bxr6pnC3x4Y7byfx82sLfuy24PvOcdx8acL19lHU66z4qtWAL58Z8M+WEXzRPIzPmoZyvlnV4WFpj8FInxTTwyGWzL6aIUVFS1u7rMA4ye6RYnYfZK5gZK425DowVFqFkLuCIY1J7mqJnNufdHWHgaEcBgbJ9nR4BuOzQeHjICqGNxAVsoKRKzakVY1r12/knHSlqChFYKT/Zl8oNDID48LFS7LOODnpCobcMJHznBkY4jEwqCgPBxwwuv3Cx0FUDBHHYGRjttqPjs3I3B2STSkCI/03/0KBIZ0iWuyulWJWMNIjQE4UyH3ODAzxGBhUtKfDM5gNbggfB1ExfOE43p7RWSS5dn9Ik3ZLW3ve28gNjGJPx8y8FkW2x09ftcg1vszVCDmnrsrZLaNkYPAYDPEYGHQi9bpJeAJR4eMgOq1SHuSZuUIh7RbJdRspOqSzTwoFRjHXs8h26mi2SV/6XL7JPj0wMo+HKPbU1syVD6UC4ySrOwwMZTEw6MTu9ljh8keEj4PoNM7yQlvZdomkn46aHhfpQZLvbBQ5B0dKuzoK3Tf9ANB8E7Tca1pIZ59I/5V2neS6r1LHYPA6GOWBgUGncr/XhpmVdeHjIDqpcr9UeCH5fuuXJtpcE3K24ysuX7mK4VHTB9uUtpVvks+8TXpIpE/4mae9SttSagWDV/IsDwwMOrXf301xJYMqVqUHhjShnvX7b5QrvhdJ+WBgkCLaxzw8u4QqkhoCg8RiYGTHwCDFtBrdeDs5L3wcRMVgYNBpMTCyY2CQonpsi2gZ4RukUeW4o5sUPkFRZZOuCkvHMTBIcWPeAO732oSPg0iOh3onPIGo8EmKKpPbH4FW7xT+c1yOGBhUEi5/BN91jgsfB1EhkUQK9Tor3P6I8MmKKos7EEG9zoroZkr4z3E5YmBQyQSjm7jfa8PqxpbwsRDlE0mk8EjvRL3OmvV9S4gy1ffYoB10Mi7yYGBQSe3s7eM/HSZY5laFj4WIiM4OA4PORNPQNDrNs8LHQUREZ4OBQWdmwLGMuz082pqIqBowMOhMeQJRfNE8jPV4UvhYiIiodBgYdOaSO3v4s9/OK38SEakYA4OEaTW6ef44EZFKMTBIqMmFNfyzZQTL4bjwsRARkXIYGCTc1vYubndb0O9YFj4WIiJSBgODykaXeRb3em3YPzgQPhYiIjodBgaVFbc/gv90jMM8FxQ+FiIiOjkGBpWlJ0MzaHxvx+7+vvCxEBFR8RgYVLYcy2F83jSE8VmuZhARVRoGBpW9p8MzaOibwvYuVzOIiCoFA4MqwrRvHX9/OsSLcxERVQgGBlWUF2Me3O628LoZRERljoFBFWc5HMftbgvajG7hYyEiouwYGFSxDG4/PtXqMeYJCB8LEREdx8CginZweIgWgws/v56AP5IQPh4iIvoLA4NUYTEUw8MBJ54MzyCe3BE+HiKiasfAIFUxzwbxVasBneZZ4WMhIqpmDAxSpQHHMuq0euidPuFjISKqRgwMUrWOcS++bjPCurAmfCxERNWEgUGqF9vaRqvRhe86xzE5vyp8PERE1YCBQVUjGN2EdnAa/+kwYYKhQURUUgwMqjqrG1t4PDiNmx0mWOYYGkREpcDAoKq1trGFpqFp3Hhp4jEaREQKY2BQ1QvFtvDS5MU3bUbop3nWCRGREhgYRP+1sbWNDpMXdVo9usyzvGAXEdEpMDCIsuh3LOOrVgOeDM/At853biUiKhYDgygP82wQP76y4M/3dkwthYSPh4ioUjAwiGTwBqN40O/AV60GvLUuILa1LXxMRETljIFBVIR4cgc91gV83WZE43s7pn3rwsdERFSOGBhEJ+RYDqOhbwrXno/i3dQStrZ3hY+JiKhcMDCITim6mcLriTn8/m4KDX1TvHgXEdEhA4NIUdO+dTQNTePTx3q0jLjgDUSFj4mISAQGBlEJHBwcYswbwG89Vlx7PopuyxyCG5vCx0VEdFYYGEQlFt1Moc++hO86xvGbzope2yICUcYGEakbA4PoDK2sx/Fmch7fd47ju45xvJ6Yhy/MC3kRkfowMIgECW5s4t3UIn7stuDbF2PoNM9iYS0mfFxEREpgYBCVgXA8iQHHMn55M4HvOsfRPOLC5MIaUrt7wsdWDcLxJB4OOFCvs6JOqyeqCvU6Kx4OOBFJpEryumJgEJWZRGoXJm8AWr0T/3g6jDtvJ9FnX+J7opRIOJ5Evc4KbzCKWHKHqKp4AxHU66xYL0FkMDCIytzc6ga6LXP48ZUFX7cZ8czghmN5HYkU3+1VCQ/6HYwLqmqeYBSPBpyKv7YYGEQVJLa1jVGPHy9NHnz5zIDvO8fxfNQN68Ia317+hOp1VuH/wBOJdkdnVfy1xcAgqmCB6CZGXH480jvxVasB33WOo83oxuTCGlc4ZKrT6oX/404kWp1Wr/hri4FBpCLB6CYMbj+0eid+eTOBb1+MoWloGoPTPiyGeIZKNgwMIgYGERUpHE/CMreKlyYvfn49gTqtHj91W9A+5oF5Noi1jS3hYxSNgUHEwCAiBSyF4xieWcGT4Rnc7DChoW8K9bpJtI95YHT7sRiKY3dvX/g4zwoDg4iBQUQlkNrZw2xwA8MzK2g1uvHzaws+fzKEGy9NeDjgQI91AVNLIawnksLHWgqVGBhmq134GJQY4+UrV6HRaDA8aip42+FREzQazYnHc66mRtbj3GtoPPY452pqcOHipaIfT6PRFHW/y1eu4lxNjbC/LwYGEZ2ZUGwLtsUQ3loX8KDfgQcDDtRp9bjZYcIffXZ0mLwwuP1w+yMlu1DPWShlYHz08SfQaDRHPvr4k1Nv83xtLa5dv3Hi+7e0tRecqE87bjljvNfQWNSEevnK1RNN9On3l/N452pqjj33XPJtS6PRHD3evYZG2WO8cPESLl+5WrKfx3wYGEQk3NrGFpy+MPTTPrQZ3bjXa8O/20fxWdMgvu8cR4dpFi/GPOh3LGNifhXzazFEEikcCB63NxiFzrrwwXu/lCowPvr4kw8m5vO1taeOjFIHhhLjljPGQpOvnEk+k7RCITcSMu934eKlD8Lh8pWrRU36mSsyxUTGaVdpToOBQURla2//AIHoJmZW1jE0s4Iu8yweD07j1zcT+Hf7KD7V6vFNmxE/v7bgkd6JHtsi+uxLGPX44VgOY2EthrXYFpI7u4qPrXnEdewSyc0jrqOvlSowNBrNB7sJsk3u52trjya687W1WSdq6ev/3//5v1lXFfJtI3OylrZXqnGnfz5XlJxk9aKYSV7u7pDMxygmTDK3n7lrJV0xKxMXLl4qatVDKQwMIqpoG1vbWAzFYV1Yg8HlR7dlDs8MbjS+t+OXNxO4+dKEL5pH8OljPb5uNeJWlxl3e6xoNbrRPOLCizEPui1zeDe1hKGZFYx5A7AurGFmZR3zazH4o5sIbmwiFNvCeiKJ6GYKY55A1vdhkFYyShUYcn7rz7zNRx9/8sFknSs6cv3/tes3PthG+telCfK04y7mMU8z4UoTdz6Z25ICQzrGo1AoDI+ajib2k6xgKLFbJf3xTrMriIFBRJTHwcEhYslt+CMJeAJR2JdCMHkDGJpZQZ99Ca8n5vBizIOWERce6Z34/d0Ufn0zgcb3dnzXMY4bL0243j6Ga89H8fenwznf6OnwsLTHYKRPLpmhYLbas070Go0GLW3tOSfq9M/l2t1xvrYWLW3tWb8u5xiMfOMu9JhyAkPubgMpLvJN8NkCIHMFI3O1IVdkyYmZzDDJtpqRi5zbF7u6oxQGBhFRkbyBqJAVjFyTtrQ60NLWnnV3RvrknD5pZ/t6+u6TTNeu3/hgZSGWzB02csdd6DGVCgxpopWzClEoMC5cvHTs9sVM7nJWMOSGidyoYmAQEVUIEcdgZCNN7marXbHAyLYNiRKBkTnuQo+ZOcZsCgXG8KjpaJItNMFn+7pGo/kgKvIpNhQyd3fIiYJiVm0YGEREFcQXjuPtGZ1Fkm83hLQLRO4uknyBUWh3R7G7SOSMW84uFiWPwTjJCkau8WXGiJxTV+XEmJKBwWMwiIhUopQHeWb+pp95BoecgzzzBUa2x5ECQDoTJPMxCu0mkDvuQo+ZLzDuNTTKnkSLXcHIN9mn3zbzeIhiT23NXPlQKjCKvXaGUhgYREQKO8sLbeXaJZLr69kCQ5rsc52mmj7RZ/t6odNUTzLuzMfMNsZMcg+OLBQYmash+SZouae7Sqsm0n8LHWyq1DEYvA4GEZGKVOKlwtVA7rEG2aIgc0KXQiX92A2JNGnnm+Qzb5P+eOkTfubuGmlbSq1g8EqeREQqwsAQJ9uVM6sV34uEiEhlGBhEDAwiIsUxMIgYGEREirujmxT+jzuRaHf+e2VbJTEwiKiqPdQ74QlEhf8DTySKJxjFo0GH4q8tBgYRVbVIIoV6nRXeICODqo87GMWdt5OIbqYUf20xMIio6q0nUng04MQdnTXr+5YQqdEdnRWPBh0liYvDQwYGERERlQADg4iIiBTHwCAiIiLFMTCIiIhIcQwMIiIiUhwDg4iIiBTHwCAiIiLFMTCIiIhIcQwMIiIiUhwDg4iIiBTHwCAiIiLFMTCIiIhIcQwMIiIiUhwDg4iIiBTHwCAiIiLFMTCIiIhIcQwMIiIiUhwDg4iIiBTHwCAiIiLFMTCIiIhIcf8/yIZVE/IzaJcAAAAASUVORK5CYIIA" alt="" />

　　上图中即为redis中5种基本数据类型，在没接触过redis之前，听过最多相关的字眼就是键值对key-value之类，立马让我想到了HashMap。在HashMap中，key和value的的数据类型都可以指定，value也可以是HashMap类型。而在这里，redis的基本数据类型是针对的value，有这5种。

　　文中所用测试记录环境在Linux下，命令操作在SSH客户端下，这里使用的是Xshell 5，个人使用感觉很方便，同一系列的Xftp 5用于远程文件上传操作也很不错。如有需要，可直接进入官网下载，有免费版本（Free for Home/School）,点击传送门。

　　一、字符串(String)常用命令

　　

1    SET key value
设置指定 key 的值
2    GET key
获取指定 key 的值
3    GETRANGE key start end
返回 key 中字符串值的子字符串（这里的start和end即起始子字符的索引，例如字符串abcde,取1至3，即拿到bcd，索引从0开始计数）
4    GETSET key value
将给定 key 的值设为 value ，并返回 key 的旧值
5    MSET key value [key value ...]
同时设置一个或多个 key-value 对。(对比MGET)
6    MGET key1 [key2..]
获取所有(一个或多个)给定 key 的值。(这里的M可以记忆为Many，许多的意思，便于理解)
7    SETEX key seconds value
将值 value 关联到 key ，并将 key 的过期时间设为 seconds (以秒为单位)。
8    SETNX key value
只有在 key 不存在时设置 key 的值。（这里的SETNX，后面的NX，个人记忆为Not Exists，不存在的）
9    MSETNX key value [key value ...]
同时设置一个或多个 key-value 对，当且仅当所有给定 key 都不存在。
10    STRLEN key
返回 key 所储存的字符串值的长度。（String 的 Length）
11    SETEX key seconds value
将值 value 关联到 key ，并将 key 的过期时间设为 seconds (以秒为单位)。
12    PSETEX key milliseconds value
这个命令和 SETEX 命令相似，但它以毫秒为单位设置 key 的生存时间，而不是像 SETEX 命令那样，以秒为单位。
13    INCR key
将 key 中储存的数字值增一。(String中存为类似102、88的数字字符串情况)
14    INCRBY key increment
将 key 所储存的值加上给定的增量值（increment）(上面的是加一，如果想增量为指定数值，即可用该命令)
15    INCRBYFLOAT key increment
将 key 所储存的值加上给定的浮点增量值（increment） 。
16    DECR key
将 key 中储存的数字值减一。
17    DECRBY key decrement
key 所储存的值减去给定的减量值（decrement） 。
18    APPEND key value
如果 key 已经存在并且是一个字符串， APPEND 命令将 value 追加到 key 原来的值的末尾。 

　　二、Hash(哈希)常用命令

　　由于是Hash类型的相关命令，可以看到，命令开头字符均为H。说起Hash、Key-Value、键值对，第一时间想到了Map/HashMap,多个键值对？同时，我们在开发过程中操作的那些实体对象，往往有多个属性，而它们的属性和属性值一一对应起来是不是跟这里的键值对有点吻合，在redis里，每个hash可以存储2的32次方-1个键值对（40多亿），所以hash很适合存储对象。

1    HSET key field value
将哈希表 key 中的字段 field 的值设为 value 。
2    HSETNX key field value
只有在字段 field 不存在时，设置哈希表字段的值。
3    HGET key field
获取存储在哈希表中指定字段的值。
4    HMSET key field1 value1 [field2 value2 ]
同时将多个 field-value (域-值)对设置到哈希表 key 中。
5    HMGET key field1 [field2]
获取所有给定字段的值
6    HGETALL key
获取在哈希表中指定 key 的所有字段和值（这个命令获取到其中完整内容了，实际情况下数据量巨大的时候不适用）
7    HKEYS key
获取所有哈希表中的字段
8    HVALS key
获取哈希表中所有值
9    HEXISTS key field
查看哈希表 key 中，指定的字段是否存在。
10    HLEN key
获取哈希表中字段的数量
11    HDEL key field1 [field2]
删除一个或多个哈希表字段
12    HINCRBY key field increment
为哈希表 key 中的指定字段的整数值加上增量 increment 。
13    HINCRBYFLOAT key field increment
为哈希表 key 中的指定字段的浮点数值加上增量 increment 。

　　三、列表(List)常用命令

　　Redis的list是元素都为String类型的双向链表，既然是双向列表，操作也分双向，这里的列表头部即左边第一个或者首个，列表尾部即右边方向第一个或者首个。以LRANGE key start stop为例，该命令用于获取列表指定范围内的元素，这里LRANGE指定从左到右方向，key为键名称，start和end分别代表想要获取的范围起始元素的索引，例子:创建列表testList,内容为 C C++ C# Java Php Python,一共6个元素（命令RPUSH testList C C++ C# Java Php Python），了解数组等结构的不难知道，由于索引是从0开始，所以这6个元素的索引从左至右分别为0 1 2 3 4 5,所以如果我们想要获取Java Php Python这3个元素，我们用（命令LRANGE testList 3 5）即可得到想要的结果，引申到这里的redis双向列表，使用负数下标，以 -1 表示列表的最后一个元素， -2 表示列表的倒数第二个元素，以此类推，则上述6个元素的索引从左到右也可以置为-6 -5 -4 -3 -2 -1 ，这样一来，我们的获取方式更加灵活了，不论列表长度多少，我们想要获取全部元素的话都可以通用 LRANGE Key 0 -1来实现。例子中四种方式如下图示意。

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" 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List作为双向链表，下图简单示例双向操作过程

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1    LPUSH key value1 [value2]
将一个或多个值从左插入到列表头部
2    LPUSHX key value
将一个值从左插入到已存在的列表头部
3    RPUSH key value1 [value2]
将一个或多个值从右插入到列表尾部
4    RPUSHX key value
将一个值从右插入到已存在的列表尾部
5    LLEN key
获取列表长度
6    LPOP key
移出并获取列表的第一个元素
7    RPOP key
移除并获取列表最后一个元素
8    LINDEX key index
通过索引获取列表中的元素
9    LSET key index value
通过索引设置列表元素的值
10    LRANGE key start stop
获取列表指定范围内的元素
11    LREM key count value
移除列表元素(记忆为left remove)
count > 0 : 从左向右，移除与 VALUE 相等的元素，数量为 COUNT 。
count < 0 : 从右向左，移除与 VALUE 相等的元素，数量为 COUNT 的绝对值。
count = 0 : 移除表中所有与 VALUE 相等的值。
12    LTRIM key start stop
对一个列表进行修剪(trim)，就是说，让列表只保留指定区间内的元素，不在指定区间之内的元素都将被删除。
13    BLPOP key1 [key2 ] timeout
移出并获取列表的第一个元素， 如果列表没有元素会阻塞列表直到等待超时或发现可弹出元素为止。
14    BRPOP key1 [key2 ] timeout
移出并获取列表的最后一个元素， 如果列表没有元素会阻塞列表直到等待超时或发现可弹出元素为止。（与上者区别，一个是针对左边也就是列表首部，一个是右边
也就是尾部。这个timeout是阻塞时间，以秒为单位）
15    BRPOPLPUSH source destination timeout
从列表中弹出一个值，将弹出的元素插入到另外一个列表中并返回它； 如果列表没有元素会阻塞列表直到等待超时或发现可弹出元素为止。
16    LINSERT key BEFORE|AFTER pivot value
在列表的元素前或者后插入元素(这个地方要注意，如果里列表中有重复元素，插入过程只会发生在第一个元素上)
17    RPOPLPUSH source destination
移除列表的最后一个元素，并将该元素添加到另一个列表并返回

　　四、集合(Set)常用命令

　　Set是string类型的无序集合，与列表List中可存放重复元素不同，Set中不能出现重复元素。

命令均以首字母s开头
1    SADD key member1 [member2]
向集合添加一个或多个成员
2    SCARD key
获取集合的成员数
3    SISMEMBER key member
判断 member 元素是否是集合 key 的成员（是的话返回1，否则返回0）
4    SMEMBERS key
返回集合中的所有成员
5    SREM key member1 [member2]
移除集合中一个或多个成员（返回删除数量）
6    SPOP key
移除并返回集合中的一个随机元素
7    SRANDMEMBER key [count]
返回集合中一个或多个随机数
8    SDIFF key1 [key2]
返回给定所有集合的差集
9    SDIFFSTORE destination key1 [key2]
返回给定所有集合的差集并存储在 destination 中
10    SINTER key1 [key2]
返回给定所有集合的交集
11    SINTERSTORE destination key1 [key2]
返回给定所有集合的交集并存储在 destination 中
12    SUNION key1 [key2]
返回所有给定集合的并集
13    SUNIONSTORE destination key1 [key2]
所有给定集合的并集存储在 destination 集合中

示例操作如下图

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" 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　　五、有序集合(sorted set)命令

　　有序集合(sorted set)与集合（set）一样均不允许重复元素，区别在于有序集合是有序的，而且每个元素都会对应有一个double类型的分数(score),这个分数就是排序的依据，按照分数从小到大（PS:有序集合中元素不能重复，但是分数是可以重复的）。之前通过SADD命令添加集合元素我们是无法保证顺序和插入位置的，这里通过改变分数值来控制排序和插入位置。

命令区别于set均已z开头。
1    ZADD key score1 member1 [score2 member2]
向有序集合添加一个或多个成员，或者更新已存在成员的分数
2    ZRANGE key start stop [WITHSCORES]
通过索引区间返回有序集合成指定区间内的成员(0 -1分别可以对应第一个和最后一个元素)
3    ZCARD key
获取有序集合的成员数
4    ZSCORE key member
返回有序集中，成员的分数值
5    ZRANK key member
返回有序集合中指定成员的索引(从0开始，左至右)
6    ZCOUNT key min max
计算在有序集合中指定区间分数的成员数
7    ZRANGEBYSCORE key min max [WITHSCORES] [LIMIT]
通过分数返回有序集合指定区间内的成员
8    ZREVRANK key member
返回有序集合中指定成员的排名，有序集成员按分数值递减(从大到小)排序（PS:排名最高即分数最高的为0，当分数相同时，与存储顺序反向排序定位）
9    ZREVRANGE key start stop [WITHSCORES]
返回有序集中指定区间内的成员，通过索引，分数从高到底
10    ZREVRANGEBYSCORE key max min [WITHSCORES]
返回有序集中指定分数区间内的成员，分数从高到低排序
11    ZINCRBY key increment member
有序集合中对指定成员的分数加上增量 increment
12    ZREM key member [member ...]
移除有序集合中的一个或多个成员
13    ZREMRANGEBYRANK key start stop
移除有序集合中给定的排名区间的所有成员
14    ZREMRANGEBYSCORE key min max
移除有序集合中给定的分数区间的所有成员
15    ZINTERSTORE destination numkeys key [key ...]
计算给定的一个或多个有序集的交集，并存储在新的 key 中
16    ZUNIONSTORE destination numkeys key [key ...]
计算给定的一个或多个有序集的并集，并存储在新的 key 中

示例操作如下图

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" alt="" />

　　小结

　　乍一看感觉密密麻麻的命令一大堆，实际开发过程我们更多的是利用各种编程语言封装的API去操作redis，比如java的jedis之类，但是在真正把redis上手或者引进开发项目之前，熟悉一下命令，有助于我们更好地理解其思想和提供的功能。例如很多数据库API设计也是对应了数据库功能或者命令，我们熟知的关系型数据库MySql、Oracle之类，在数据库里命令操作常用CRUD，所以相关持久层API设计也会封装相应方法。建议命令过一遍，不一定非要所有命令记得死死的，重点要知道各个数据类型是什么结构，有什么特点，分别有些什么操作。