Java学习-021-Properties 获取配置项对应的值

在日常的脚本编写过程中，通常会获取配置文件中的配置项，以执行相应的业务逻辑。

小二上码。。。若有不足之处，敬请大神指正，不胜感激！

获取配置项值的源码如下所示：

     /**
      * Get value from properties by key. Return null when the key not exist.
      *
      * @author Aaron.ffp
      * @version V1.0.0: autoUISelenium main.java.aaron.java.tools FileUtils.java propertiesGetValue, 2014-11-20 16:31:22 Exp $
      *
      * @param prop : properties
      * @param key  : key
      * @return String
      */
     public String propertiesGetValue(Properties prop, String key){
         String value = "";

         if (this.propertiesKeyIsExist(prop, key)) {
             value = prop.getProperty(key);
         } else {
             value = null;
         }

         return value;
     }

Java 获取 properties 配置文件源码

测试源码如下所示：

     /**
      * Test : Get value from properties file by key
      *
      * @author Aaron.ffp
      * @version V1.0.0: autoUISelenium test.java.aaron.java.tools FileUtilsTest.java test_propertiesGetValue, 2014-11-20 16:40:15 Exp $
      *
      */
     @Test
     public void test_propertiesGetValue(){
         this.message = "\n\n\nTEST：FileUtils.propertiesGetValue(Properties prop, String key)";
         this.logger.debug(this.message);

         this.fu = new FileUtils();
         String filename = this.constantslist.PROJECTHOME + this.constantslist.FILESEPARATOR +
                           "testng-temp" + this.constantslist.FILESEPARATOR + "propertiesRead.properties";

         Properties prop = this.fu.propertiesRead(filename);

         // print-1
         prop.list(System.out);

         System.out.println("\n\n");

         Assert.assertEquals(this.fu.propertiesGetValue(prop, "host"), "127.0.0.1", "Test case failed.");
     }

测试源码

执行结果如下所示：

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sRZn2lAJ3dmxX0gfoCAASwMNFfQH3vCdV8xW/P+o0iAMAKguD3mYbiNwFQwTf85v1OAQDg6yAIAAAAAEEAAAAACAIAAABICAIAAABICAIAAABICAIAAABICAIAAABICAIAAABICAIAAABIpSAwstHqNfnZzna2s/3i9m+NdwAQQIQAAAAAiBCwne1s//j2b413ABBAhAAAAAAQBAAAAIAgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAD444z9a6Ybvm0KPBpXEExDt7SgSf4rWXbdwtxi5xL3a63Nd794N4z9dt2lmdfYcWj/2N9anwsM3c2+lYz9GwuHP4/Rj67NMWW/2y5R00yD9txUzj5l/vLEKQZOUeVp6NYNY//qR7l9Y9/cXP7M7sC1KKv8C+PP2Nea2Wh/ux/+MJEgkF7b/t2alN7fxtAZfh/7rutEY1r7pBwypqEr72alILjR/lbM+obHv9G2T1b8Iq1+e3c5T+Mr9VI9TvTTN14lJD6wvhx55IcfD265j8LmsRczm/KAeJxKU9tlvfLTMiwXZTnlnxt/hu7VD5f85Nrf6Ie/Ta0g2FAaczvUUdbiyb5bBo7iEWMrbey7YVhL3waaoxGnvsN79htPEvOmrutnAxfxaynfw9HQr698KMmqMNdJnNqPznXnbX1fyHOfoeuGsdDKS+E6IHRUO2HQft2toNVecYe3iw5HTwqB3+5ob6HfWuwM6mvZuYR/hn7fMeVFVfmz3T/+fbH85rP2uLHfjoz7i9PO4yd4o1875djtOSjH8U8udOSM+iP3UdZFjatTMuKp3kRYMb6pU70hOhAE5v3yx8NlLjcKHHvHAzG5/ZUFxO28sR89kxsEQdaP5FylgvuqTdsRgmFam+/WyKSkbbHTwxA0Zjmb6F3V5NZsvPoG2C1uHGVLkkcIQSBbm+vn7bAab6hXEpO4snb1YS/ZA5Fp6bKiav0+moz96jdhZV3c0LThrvbm+e2EnU59bTtnKSJEw/J3qz+9ekXt0yon8JtJ+UZv22r2l6CdJ7/FWoLALsdtz045Ne1Hl/8b9zHJ3eLgdVxd7k7+2GMIl8PxTZWfxr7re2OCd8v3xh/7/u6H3CYItP1Nrwz8dt7aj57JZUFgvFQsnwhzRweCYJEChiAQpYmz3ygIVgM2Kb/cf7e+LvbkqovSgsAecM3rqm5ypJ9SMSjL0/c/D8spOqc6ozxdP0ZU3jXDb/e1N9tvp+y06+vYafu/1Z9eveL2aZfj+s3EiBAkv78UJp0XBE45QXs2ygn70bbJmTUffh/3E3W8qxumJG6adeIoQrPBda3yJznDe9ECMey698u5v8XXHdde5RT2e3a6p3vtvLEfPZPrEQI9LnhopRwJgtnFg3hlEHSwzwuCyvpqrPqq15RZLYdujmbn/dosvF0Q5BUtTz8Ool0TBDV2Ombc1t5qBEGlndZhrp22/++aSGL/HFYne6K1sHtc0F/CKHW1IHDLidqzWY7fj5Yj1SvmX7qPZkhrf9BaZ1SvxMPrmuVnUQR33tgjK+b9Omgn/tYGKkJ+R8NLJAhUMf9qhCC7kwJVgD5t3yX6Xv7zAacBfVsQuPUNMOorJ55CtG5yPvvkwBsFWiMEL3Xp4mG6draWRxVRxKIEebwKq84nWLLaaSf3tDfPbyfsNOvr22m/zmj1p1evqH0e3Zeiexj1zXrKYn8QUfPbeVmau90vJ27PZflBP9q2q0j2j9xHL0zteVi27Zr6BmHw7L1jXL59v47aybI939rwysCz37PTxp8Xwn70MzQIgiDyp8NMe0jNjTsVv1ER33GtIj37ZMmPYFVOz3URqdfr1Y/bof24ipPlE5713vsGmZS/yVH2LO/gROHd/NpP+cS6rrR0OyFwyFyb/ZVfeWz+BXGrQ3N/2hXuyuc/y5OW30w/eBu9ciK/tdnp19e1U/rfjU4f+7PNP245YWPO62tElI/6i9POrX5n2WmF9Pdy/PbslmNXWXS2/ZjyZ8+inGfdx+LG6Hu29xG7fXof524lBeX7FSjLD8YfbzzMLlA1bpSE9nt+cAux2nnzpPBImiMET+NX7PwZKoPk1/iVu/YOO3+k6nDAD93HfTb81XkKPkTtwkSPpPghDVzgA5/E1Crxb/M+O3/FAxDDfYQ/CUsXAwAAAIIAAAAAEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAH+EYnklgCZq1yGwVii78/f/a/quSV2rXCmsG/IVjuvsOLT/xILEb0JlA7ubdX2ttxQO/wh7Z+r7ytQeV/vXOtXJlSX1MoiyX8vhRJzeDXqhP7HcRpFC57yp32LaF+G1Vs4d+5e5wIixXQzA5i1TS8sna53C43HGWZzxBlSbyNexNu+vt/0fpHalwu3fraldWajLS27UbdvF0tZyKCmzU1SuJXev/a20JuV4q20/tMLa1WQmd5fzNL5SL9njLqZ5bbI/yz0hlsC3+rVcaTwbW5zVOLN6fbKT3HIf1UhY1HDoXv1gXKfcLuoeLGMucjSIZeal34JxJs44eBUnB5Jsq14b/pUVVN/HDcmNlCLz1sTuuj17odbzIqlANwwiC+d2fDjiXE9uJNKA6WW1u25ZKHsRs0Ks1D9JBGtoi4eSovd2wyRPLZYTFy349ZpTI9bK7aHrhrF4BlgK1wGho9oJg/KF4rdVvq20Ed0wHD1BHKzNfrW9hX5rsTOor2XnEv4Z+n3HlBdV5c92//j3xfKbj9nj5PybPZ4b/euU/aYgSN6Gaej6cU+8tP29HHwgCNTFfuQ+rpUy4qbLPF3MlN522+dqPNoFwZTJCZmUrhxnVkfbF7Pqu1r6qtUQfnXkIVUptUwLvXmhsR89kxsEQdaPDlVYCtMf78k616RS8XB8XRDY5WwidlXJZlYrWd8AR7KOsiXpZBubIJCtzfWzTHFy6A31SkKm99KuPuxVg8wEmKX73CK0KaWx35I2yUQsNXfNtOGu9ub57YSdTn1tO9Wjq0480+RPr15R+7TKOfHEby7cO4VTrtkyW++vnDiz0kxBMJsx72oSBLI//sp9XMfPZdRSgmy70+I63naBTNUoH/71KwNRR9mnonFmz2601zEcVxsFgaWvRDme4Kh9wDPnhRsjZ1/ksiAwXuKVT4T5jQkEwSIFDEEgStPN+l2CwEvn6tbXxe5wuigtCIrW6V83HogtY9S15On7n4flGE8b6pVtfrp+LKi8a4bf7mtvtt9O2WnX17HT9n+rP716xe3TLud8Fotswr5BEJxt57YgEFNXjSDYLpkHC3/hPs7btszpevbeOdwuDXBdVnSTrRSRBtoeZyapFLZyTo2rxzjDfZDi+Xjcc9IffyQbzNu5HiHQCb89tFKOBMHs4kE0lKCDfV4QVNZXY9VXtb2slkM3R7PlNve67YIgr2h5elXQ7YIgqLHTMeO29lYjCCrttA5z7bT9f9dEEvvnsDrZE+0xe3+6KUJwsp07gmCPw3lnG0946tX5z9zH/YFqnZvzs7xIQLHdCI2FgsA02xtnsqf//SOQtzxSe8W2bl+JBIEq5l+NEPiqShWgT9t3ib6Xi1qnYX1bEFSoyAKjvrJHZWI87TI/++TAe+/VGiF4qUsXD9O1s7V+TXk0j8rjVVh1PsGS1U47uae9eX47YaczQHt22q8zWv3p1Stqn0f3pegeZX118cKJew+yXrU4gqDB/pOCYL9WtSDII9y/cR+PR8I6QeCEu5WDvZC4PCgYZ7L3lNu5vv0Nrwxkn5WXlRbIkdXbbuPPC2E/+hkaBIEf4U463LOHjNz4T/GbE/Ed1yrS9XzplVQvCBz7s8jZ6/Xqx+3QflzFyfIJz3rvG0Nb1m9shD3LOzVReDdMhU+s60pLtxMCh8y12V/hlcce94nYobk/7Qp32V1zJ1rTydfbW+S3Njv9+rp2Sv+70eljf7b5xy0nbMyH9dXiYNu4f4xp9a92+4P7ZbhNWiIfml/bh2CFQaKz7TaUP3sWpj7tPsrZL5f55QDrbS9C91oFbFv7/ZnNipQfjTN2hf2m2PINgfONizK0antBOC80TwqPpDlC8DR+xc6foTJIfo1fuWvvsPNHqg4HPPA+SuXzbVvgJ6ldmOiRjPULE8EhH/gkxlHuj+N9dv6KByCG+wh/EpYuBgAAAAQBAAAAIAgAAAAgIQgAAAAgIQgAAAAgIQgAAAAgIQgAAAAg1a9DYOSeuPX3/2v6Lr30WLlSWDeUaTtq7Di0/8SCxG9CZQm7m7G/ufByvQrD03VrOXorY7abO9rLqPGr8ZvRWe98TiyY07oqxrvaT8gtCwHF/f0j49LF+t62HoycBeAr1K5UuP27LdJ8ZaEuL7lRpxdGX7frtal1g6lcS+5e+1s5zhWUH/9G2+4t/DhpjbeC+oXyK1D52qWE/ORwc6nmv0FFThqxDHntEu9u7pxmrref4JDmejk8YNHDq/W9vqbnsvLyR1ZKBY8bkhtleUPlnmxR+PxgrTXHvhuGtXSZFjNsqdeTGxlPEkuGzm5ZQHtRwEKs1D9x1q0NnlVhrpM4NVuhfb/uspJ2b6+FbjJ03TDqxd73wnVAqO6hwRME+S6nvvGTnFG+53/lL1sQKHVilbM8rg29ZakMfqhMLS+xqrlxs7ITHPvtchwiO6N2te3ouuLS+fYWP1sRuNcqwe1kSB75Yv3bpb/Rfm6sV4r8b/R3s17efY/aw0fq64zDbTkIUn4Zh3h89v0Mh9wgCLLx9uU8mVWmP96TeK4h37h9XBcEdjlbBsI12Y+Z1UrWN8AeLdbErKlIRiIGCNnKXT/LnD2H3lAhSp3WTQ899c9ypSAwBu6gvoHl5XbHD/LhX4VAZQnyup4/RRKrPGHMfkKW3nSNdc5/i0sYPozaj1OOiWen52evP3rbW/3skU8kNQO0ediX2o9Ha73C8dDo7779bvt0tn+ivh8VBCkanwM/wyGXBYEhKc1EglkWL1cQLE3NEASiNB2QfpcgMNNcRvV1sSdXXZSR9cuR89kZU3v6Y3ktefr+Z3XgriFC4NfXK8fY7vnBz9euH5Cmg3I8/xSPRCfz3MftpyVe6t5H189ef7S2N/q54cnytCD4Rvu5tV7BeLiUe2y/f9/ddvuR+raOwy71gsBJQ/yRrCx/lusRgoqXTyl/oooEwXxrB/HKIBiIPy8IKuurseqrXmdntRy6+S2AHrWd67YLgryi5en1L78DQaCJ6uuVY213/BAKgmWXyuzs+tP2z12CIG4/bYLAvI8Hft4uZD857dub/eyhelxdaN0q9mvtx+NMveTJ+pVN0d+lIW6EQ17ZbQ8fqe+TBIEqjQhBEze8MvA+1FIF6NP2XWKMzn8+YIUuk92SPykIznyYZtRX9sAiVrgcryYw97onIgQvdekieNMyLdUKgrC+XjnmdscP6sZ6IXEVWXfbrf16Sxuix1lXEJjtPPqmvClCYNjp+9nrj972Vj+7TEMvOnb9iyh3y2fbT2BkU72Ox8PR0AT2KwO7fdrbP1PfL7wycMbnwM9wSIMgCCJ2Os4k32k5oZs9qLO3WhmeUspuikqqFwSO/fk3TK9XP26H9uMqTpZPvbbonGuQSVFfbU/X91nh3TAVPrGuKy3dTggcMtdmvpx9rDUqxV613nEahTv1tfyfgu22H/Iz5s8su0E6cT+3/DmrKGfopH/ctwzWVbWVyb7vznXDciw8O8N2Ve3MVj8fmFpdq/Jnq8ZLjA+2n3fVKzOm7O+u/d59d9vtR+p7XRC4H5OWhONz8+AMguYIwdP4FTt/hsaf/fw9//9KhX7FTrgX775/tz38vXHg36R2YaJHMt61IAaks5/i/EI7aUA8hT761eOv2OR5j3AAABDISURBVAn34t33r7YHxuG/A0sXAwAAAIIAAAAAEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAACcplr0C+Glq1yGwkl7c+bvTNc3bpK5VrijXDfkKx3V2HNp/YkHiN6GyEd7Nuq7XWwqHP49Kw7NOh2sCWr1k7EuvFJktb5GtS/eLE+q05780VsgtF6lUY5A6fN9jL8dfuzBIOXLG/d3OStpOed17y4ePUbtS4fbv1vSvrEzlJTfqOtF5RJvWy7KeyWVwr/2tNGY+ea9tP7SkWKvf3l3O0/hKvWQa6H0ilCt7Z33ZWf1S9twPy/Fb/KZGHl1DK9mCnwBJLNNeCouhe/VDlb1e/g6vvwufNy5XXnfdu8qHT3JDciOlfN31s7o9e6F+Tlfp54a19E0QHKXhup7caLMoX7W+63r5/GMq/YqMIF595UOSmdBMnLqm7yiuu4zDvb1mvsnQdcNYaPelcB0Qql/bvFgofltd3Eob0Q3DUaQi8Nsd7S30W4udQX0tO5fwz9DvO6a8qCp/tvvHvy+W3yKW8V0lxpqGrh/3BEvb38sJB4JATZY/4re1UkWc0huyHEGQpxXWYZRlIJAnVow/uSAo+/uBae1JiYrrhuUXu1/+eNvcPuE8NwiCrF97arEy/fHSPUQyq3g4fmO2wz1j0JJGqAwtyPoGOCPBKFu8PEIIAtkrXD9vh9V4Q72S0On/dEKUg+FAPinmaUa3iHFKaey35DryabLmrpk23NXePL+dsNOpr22nepQW/m/1p1evqH1a5QR+c1lG8EFt6ce5Cc1drEkQyPb/K35bx6tllFDRgj3LkJ7sLR2SCwLZr7c7JOwNx589v5k43unv8iwj2XSTIDCuG5Zf4I+3Z9onnOWyIDBezpdPhHnbCgTB0iUMQSBKE2e/URCY6TWj+rrYk6udPW8+vuhd/nWnw6E3N0ZdS56+/3lYjvFMoV4h56frx6bKu2anUb6pvdl+O2WnXV/HTtv/rf706hW3T7uc9iwWy1V0P1yH87nd1giC7ap5cO4X/DZv2zIX69eaL7M5yZNtHS6OL76y8D7mMsdSlSLV6+9bgXfF841XP5Xle+PtsqmxfcJZrkcIKtRfypV7JAjmpjCIVwZBh/+8IKisr8aqr+o7WS2Hbo5m6zi2Hx5sFAR5RcvTj19aXhMENXY6ZtzW3moEQaWd1mGunbb/75rYYv8cVid7wg4OmvTj6Wb/GvfyWqXx5KdeMf+M3/YHmHXG3gzTbc8ZR83vBszYetFSXTut8oP+Xh8Cq0aZ11B+JAhU8UQI3soNrwy8D4JUAfq0fZcYC/KfDzgN+tuCwK1vgFFfOfEUInp77Mg+OTh+P1cXIVDjePkwXTtby6P0OGWVII9XYd75BEv+O+3knvbm+e2Enc6E4dlpv85o9adXr6h9Ht2XonsY9ZUtZr9sMX43CIL8zdVv+C0YebL3cNtGs75pGnox8B1J18g/xn3x+3sYfm94ZeBdty2874+3YfuEm2kQBH6EO+kw1h7ic+NaxW9yxHdc60ODni+9kuoFgWN/Fpl7vV79uB3aj6s4WT4pWtvoQcgup/wNkrJneecoCl9eTyqfWNeVlm4nBA6Za7O/4iyPrf8i2HZo7k+7wl1XOdGaTr7e3iK/tdnp19e1U/rfjZYf+7PNP245YWPO6yvdJh6OO/XKfK/I9oFYcWnRuPeSy58ZP9hv2XcMBw0uK9/7GNbvAbIdOrdMfaUsNln9vXj1YNlfOfca1z0qXxOOt82DLVygOULwNH7Fzp+hMkh+jV+5a++w80eq/jge6DepfL5tC8AN1C5M9EiKH/zABT7w6Y73hPQ03mfnr3jgaeA3gA/A0sUAAACAIAAAAAAEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQD8WYrljwAgoHYdAiOnxq2//1/TiU3qWuXKZd2Qr3BcZ8eh/ScWJH4TKjvZ3azrgL2lcPiHsPPmVSK7u9pQc2Zt8532xYKzFW/LESY3TS/G4SxsWFajKD9fzrlt6PSu24p33bhe168LP0ftSoXbv1vXurJwmJfcqNu266xfOpPYmVwG99rfynGuoPz4N9r2wBXfPFr99u5ynsYP10uuBJ71/fuusDf07DHCSpm9GpWbkeVZUJmB+tFY2VMsuy6PF+NY1fLg3nVb8a7rlq/t/5nBAu7ghuRGWR5TuSdbFD4/WGvQse+GYS19EwRe/tAjOz1K+0W6Mr06etctC3ovglmIFae+tn1OffUS4KoKc53EqXrp+Jca0V6vOTViraQfum4Yi2eGpXAdEDqqnTAoX+5+W43cWmu9G4ajSEXgtzvaW+i3FjuD+lp2LuGfod93THlRVf5s949/Xyy/HdXXsF7sWvpMUNQ0dP24CBr5d3L7hdFPw/u4ztRRHFGNHs5Qk6UHLKf/4rFbbLBz9uWbR9EctiuE123KNeDWxSw/T6UU38SXP042tit4AjcIgqxPmeo7y3wVpD/ek4quya/i4fiN2Q73LCxLGqEytCDrG2CPCmui2FQkRxGCQPYu188yZ09VtkOlA8RjmkqgcjDcqEyAWVpSGQEe+y1pk8wsVHPXTBvuam+e307Y6dTXtlM9GusEOU3+9OoVtU+rnMBvh7XOMu7IJ9GDcubuNPbdMM1dUggCt18kq4V793EdT5ZebE2or8w5IguQzqBoCSzTCfkGW2SoWVY+tusWF1z3nCDIZnenfNH2zJCJwh8nz7cr+B6XBYHxct7KvpVnFXMFwdKFDEEgShNnv1EQmOk4o/q6uI8JTinb9xvewfIMpejr0h9n71ONCeawnOLR5yAPvR4ZK++a4bf72pvtt1N22vV17LT93+pPr15x+7TLOZvFIstq7EwqNkt9d+mw18XvF8m6I177n//cMol7o5l+HfkymoFQYCJTseWEckMpCPI51n8Ej6/bSjm3++XLbywOHgy8cXLZdKpdwfe4HiEIY0rytLoIwXzpfhCvDIKB8vOCoLK+Gqu+6vVcVsuhm6OgOqzoXLddEOQVLU8/fjl9TRDU2OmYcVt7qxEElXZah7l22v6/SxDE/jmszuFE7pWW+e3oTd9e3zUesP0f9Itk9fdYEMg3DV4dtnJ0m1lKOrgRhiDQr2/004vxYZ/jqJoGUIkZ6qor/6i7RYJAFUOE4Ce44ZWB9+GJKkCftu8S8bL85wN7iFUV/21B4NY3wKivHDEL8b491mSfHHjvQVsjBDptefEwXTtb67Dq0Twqj1fh8fkE6zHCaSf3tDfPbyfsNOvr22m/zmj1p1evqH0e3Zeie4Sh6fyVgXrjoSeAopxi3ti/J/D7RWoRBN7IIFt89nVf9v4sLt/dIh63s48KzUlR36/dovC6Da8MvOvWjBvHHzP642TYruChNAiCIJKnw5R7aNSN/BW/axHfcS2yXE9abkn1gsCxX8a11l3bof24ipPlU6y1rfsGmVi/4xH2LO8uReHL60/lE+u60tLthMAhc232V6XlsVVfQAcOzf1pV7ir+0jK+f3T9fYW+a3NTr++rp3S/8WnrPX+bPOPW07YmBsEgbK/763X1eVLAf0Qr5u07hdWPz2+j+ZrmsN381md7dB3blDx/aY6vHiV47WTw+se3xdJdF2n/PpIfzhONg+S8ACaIwRP41fs/BmuBScr+ZW79g47f6Tqx4TOOfNm7Xa00gCAA2oXJnok0Q+KoJUPfAIknv2+P1sEvM/OX/GAT/jJfXbEr9YR4B+FpYsBAAAAQQAAAAAIAgAAAEgIAgAAAEgIAgAAAEgIAgAAAEgIAgCAfxSx9tm3TYFHULsOgZEz5dbf/69p2Kak1zGb98pfb+crHNfZcWj/iQWJ34TKRng363pibykc/hXy7rTnH+729MpV00xtv8vWBfz6BPY0e04w7QtzZysLy9FYYm7PmoKz8mbVyiZ6AcuSfUn7+8cxa41KZyHQv0ztSoXbv1vTubLgmpfcqJMZz9Y+VmQkO5PL4F77WznOFZQf/0bbfmilvFa/vbucp/H1esn18PUSl5dWKvSSUclHgU824p+wp5VJJ59QY2w/liuWetulMapMO82Ri/BhsHz63q5uHMespBlq+fznPC6+mxuSGyklqEeBbFH4/GCtvca+G4a19E0QHKVNu57cSKRD09q265YFwxehWK7EXvFkEKwlrtZ8y/pYN0zy1DVtSHHdZeXwvkHKDl03jIUWXwrXAaGj2snF60e9UTwplmkjumE4UviB3+5ob6HfWuwM6mvZuYR/BrGY35QXVeXPdv/498XyWx2HgiDws9Hvwnq5k82X/Pw0e1rv+3q/nDirt4R5uLR5ntvRHI0qxs8pUxl7ZbUgKMexzUrtmwhnitHmhwI3ni8u9K/Pc4MgyPqFnKtUcL8u/fGetHRNohUPx2/MdrhnTFnSqJShBVnfALtnrIlfU558RQoC2apcP8ucPYfeUK8kRAKYInndQXdSmQCz9KZrbHH+e0vaJDML1dw104a72pvntxN2OvW17RRJsvIEPE3+9OoVtU+rnMBvh9RECOL2abbYwydy2V++5een2dN639fxdhnlbhAEmQJwXhlUjJ9y9pUP51kWXGcc2ytcJwjGXmQbE5UT98IOIWR1d+aLK/3r81wWBMbL+fKJML83gSBYpIAhCERpWoa+SxCYaT2j+rrYk6suysh+liWYd66rumFd+uOs2xoDzWE5hfw/SK+uZXjlXTP8dl97s/12yk67vo6dtv9b/enVK26fdjlNWSxUB6oUBEH7bBIEm5XOi+oP+vlp9rTf93nblmn9uiDwIgLzWSo059m5HuA2GNE9g3GsiUkqi6L7bzf4oHhvvlg21fevL3M9QlD3slAr30gQzK4cxCuDoMN8XhCcejlq1Ve9lspqOXRzlFVr3prwWpUgyCtann7cua4Jgho7HTNua281gqDSTusw107b/7dNVKF/DquTPaHaR0i36Vd+W9nCjTcKguVI9Yr5W35+mj3N931/AFvnvMNTou0Hg8ZmXmSnEZKLBIE/jrWQRSnceS/uF5EgUMX89QhBNrMJVAH6tH2X6Ev5zwecG/9tQeDWN8Cor5x4ioDUJtuzTw7M656IELzUpYuH6drZ2n4i9MyQx6sw6XyCJZ+ddnJPe/P8dsJOZ8D17LRfZ7T606tX1D6P7kvRPYz67j6ZlHtkU8r+bhcE9v3ajtRvur7j56fZ03rfD0bOVkFQTICycdT4xwmn5wJUvTJwx7GWVwYq2GBP/N6ssePPF2H/ehwNgsCPcCcdBtpDZG5cqPg9h/iOaxXder4MIkyV07Njf/b7odfr1Y/bof24ipPlk5z1HvsGmVi/XxH2LO+wROHdMBU+sa4rLd1OCBwy12Z/ZVYeG3zhW+XQ3J92hbvsrrkTrenk6+0t8lubnX59XTul/91o87E/2/zjlhM2Zk+oRUfPtcrqVPjZ6ndBvURn2G0of5b8MT8/zZ72+559x+AOiOJLe3P7Vlg5aoiO5Hz8u1lUvErQKmDb2s/D8dE41iYIbIfWR/rD+aJ5svgqzRGCp/Erdv4MlUHya/zKXXuHnT9S9Z/naX5+mj1JzsJPn6fgQ9QuTPRInB/MwCk+8OmL98TwNN5n56944Nd5mp+fZg+ACUsXAwAAAIIAAAAAEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAACQEAQAAACQUvoPzzH7thdq5REAAAAASUVORK5CYII=" 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至此， Java学习-021-Properties 获取配置项对应的值 顺利完结，希望此文能够给初学 Java 的您一份参考。

最后，非常感谢亲的驻足，希望此文能对亲有所帮助。热烈欢迎亲一起探讨，共同进步。非常感谢！ ^_^