Replica Sets 复制 (副本集)
node1: 10.0.0.10
node2: 10.0.0.11
node3: 10.0.0.12
副本集结构图：
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vL1FMw29xXuzkfPLB3w3rjEzR+WqzxcD30+/7du70M29/dV3P37pn2fu7w2qI3mw0dWzavP3L44NYtG2b/1C7clXv37Ny5Y5tVliTEAXK3EUDu7LFwcocwky1jGGZSISHmHyB3GwHkzh4g94ULkLvtBMjdRgC5swfIfeEC5G47AXK3EUDu7AFyX7gAudtOgNxtBJA7e4DcFy5A7rYTIHcbAeTOHiD3hYsDB/bwyBwemTObHPlHDx/wyJy01Jnn+YL4hAC52wggd/YAuUM4QoDcbQSQO3uA3CEcIUDuNgLInT1A7hCOECB3GwHkzh4PHtzfsX0LBIR9x/v376z9VQMQArmzSUZ6WmbGWwgI+46C/Fxrf9UAhEDubALNMhCOENAsYyOA3NkD5A7hCAFytxFA7uwBcodwhAC52wggd/YAuUM4QoDcbQSQO3uA3CEcIUDuNgLInT1A7hCOECB3GwHkzh4gdwhHCJC7jQByZw+QO4QjBMjdRgC5swfIHcIRAuRuI4Dc2QPkDuEIAXK3EUDu7AFyx9HQUNfa2sKMlpamiooyHpmTlJR4586tnTu2Wr2SEJ8cIHcbAeTOHiB3HCqVEq+aZCYaGur+/uvqJz/FkcMHwkKD13t6WP3FOmCA3G0EkDt7gNxxYLkrFPKSkmIcpaXCurqajo42qXSUqfj0t2lrPFznevyNG9YqlQqEqIyMN1Z/sQ4YIHcbAeTOHiB3HFjuXV0iw4dcuCvPnjmZk/Oe9nt+nsCFu3JOx1/v6aFQyBGi0tJSrP5iHTBA7jYCyJ09QO44zMidjn+u/ymTjWO/P4yOmutTHPp9f2CA77q1q63+Yh0wQO42AsidPUDuOGYjd66zkzdxA8tdo1Fv3bLB6tWGmGWA3G0EkDt7gNxxzFLuXGennOws7PfHj6Lpja4uv3m4u3i4u9DNNdu2bjx+7JCry290GVzAzXWV0fLMWO3mjB/V2+7CXbln946LF8+a+l1xX831cHdZ7eZMlz9z+sTGDWut/vZaPUDuNgLInT1A7jhmL/ffD+7Dcu/p6aY33roVgjcePnTAw931w4dsjUaNECWRDPxx6TzX2Wm1mzMukJSUyHV2OnXyGP43LTVZ7/ge7q5jY1KEqNaWZnqjq8tvz589mZiQ0e3+YnHftat/6O2Lm/Wzs7O4zk43b1wXi/sQoihKl5aa7OE+505gewqQu40AcmcPkDuO2cvd1eU3XJiidPQ1Mi33I4cP8MgcZnaNWNzn5rpKT+5cZ6e6uhqEKKVSsWH9Gubxg4MCcMmgQD+8Ze0at9qaavqA+GcDV+BB1H3mvrTcz5w5QRfD4eN9w+pvshUD5G4jgNzZA+SOY/Zy5zo7NTU1YmPu3bMDb6HlziNzxOJ+P1/i3LlTycmvKUr3z/U/uQZX7lxnp5s3ruMteoJubW1BiBodHXFfzcVbXsQ8wyVfJb7ctnWjC3flgf27S0uEWPS7dm6j98Vyr6wsHx4eSk56dfbMyaAg/77entqa6rmm99hZgNxtBJA7e4DcccxJ7q0tzXQjDN5Cy10mG9++bTNd8siRg/gPQ7m7uvyGm00GBsS4IZ7r7HTu7Clc7PnzJ3iL1/YtuG6ZGW+ZdVjj4Yp3z8xMpzdiuSNEPX36iN7ouc59967tVn+HrRsgdxsB5M4eIHccn9AsgxC1eZMn3kjL/fmzJ0b3MpQ719npfsRdvJG4+Q/ewueT+Hp829aNeIuP92R+zqHf9+kdMzn5NUKUSNROb8Fyl0pHHbyF3TBA7jYCyJ09QO44Zi/3fXt3YdsODorpjbTcr1y+aHQvo3L3XOcul8sQourqarjOTtu3bdZqNQhROdlZdJmYmKd4x64ukV6Mjo4gRKlUCrrJBcu9vLzU6u+nrQXI3UYAubMHyB3H7OWekfFmMtGFMdaU2aFqdC+jcuc6O71+lYC3nzxxlG5bP3H8CF3gfVYm7jul50UwDM917rgwM1sGghkgdxsB5M4eIHccs5T75csXsH+1Ws2B/bvp7cxUSKM7mpL77l3bdTotQlRengBfieOreDoSE+Pxjlu3bJzxVYDcTQXI3UYAubMHyB3HbOR+5PABiWQAq/b1qwTmQ58sd66zk0DAY+YsEsS/zEcDA3zx9pCQwBlfBcjdVIDcbQSQO3uA3HGYl/sOry2PHj1QqRTYs9VVlXSGO475yP3M6RO02QcHP2bO4Fi3drVcPoHzcA4c2KO37/Ztm589fUz/C3I3FSB3GwHkzh4gdxxY7uPjY69fJ+JITnqVk/O+rKykvb2NonS0f4XFhYZzss9H7lxnp4aGOmR6PrJ7d8Pxo2q1KjEx/saN65cvX7hzOyz9bZpKpejr66VLgtxNBcjdRgC5swfIHcdsFusYGpLcu3fb6GigecqdIP7FeS+bNq4zfNSFu5LuxTWMhoY6uiTI3VSA3G0EkDt7gNxxyMbH1GoVM5RKxdiYVCIZ6O7u+vAhmyD+NZzJi455yt3NddXAgDg93dw6HsFBAR0dbbTTVSplU1Ojv78PsxkH5G4qQO42AsidPUDuNhJ7du8wetmuF2vXuO3bu2vrlo0OPp3AXAPkbiOA3NkD5A7hCAFytxFA7uwBcodwhAC52wggd/YAuUM4QoDcbQSQO3uA3CEcIUDuNgLInT1A7hCOECB3GwHkzh73I+5a/YsHAbHQ8f59lrW/agBCIHc24ZEfrP7Fg4BY6Ojq6rT2Vw1ACOTOJqOjo5AxDWHfscNrq7W/Z8AkIHdWqa2tOXXy2L59uyAg7C+uXrnU09Nj7S8ZMAnIHQAAwA4BuQMAANghIHcAAAA7BOQOAABgh4DcAQAA7BCQOwAAgB0CcgcAALBDQO4AAAB2CMgdAADADgG5AwAA2CEgdwAAADsE5O5wZNaLw3ltKVV9pgrU9Y0HZLcE5bSNKzVGC2h0lO/7Fu+spsYB2YJV04aoqa5++vQxjufPnqSnv62qqtRojL85C4FWq8XPLpM5xBsOWASQu8ORVi3mEORyP/6YCXefSqzhECSHIGNKjU8ClVkv5hDkCn++KftjKIT4LZLmxf8DEB8XYzj94a6d2wV8HjsVUKlU+En7+/vZeUbADgC5OxxKrfaHoFwOQT4v6TJ8dHBc+YUPD8t9XZTQ6BH2vajkEOS1Nw3mnyivbYhDkF8HCBRqnQXqbT2w3Nd4uD1+/DAsLPjvv695enpwnZ1cuCsrKytYqADIHfgEQO6OiF92K4cgPe4XGz4Umd+BjYz9Xtk9qlege0SOH6rpGzP/LKLhiR+Ccr0el1HTt+so4+VtFiz3rZvX01v6+/v27dnJdXY6euR3FioAcgc+AZC7I9I+NCno8q5p7qYQWnWnkEOQd3LbPR+UcAjyclq93r5hZDuHINc/KJnNE2kMRF7fPxZdIJpP5dnHUO4IodgXL7jOTq4uv6nV6oWuAMgd+ARA7g7KnueVHIL8I3Wau3FDyufe5MC4Kr68d7JpXvFRXlqK+iUsn0OQ8eW9Rg+r1GrNPGlt3/j3Qbl+2a1mykyozLXjjysNfy8WHKNyT379Ggt3fNzkHYxSqTT1EEVRcrl8xqfGZUzJXaPRmHkKwMEBuTsoGfUD2N1SxUeZnkyo5RDkiZc1CKEJlWZFgIBDkE+Lu+kCOY2DuCuVVvCVtHqn8IKX5T0TKs3ltPrlfvz/3SpIrOhDCDX0jzuFF9DX+FW90m8DBbjNxym8wCm8YNXtQvrIEyrNzcwmfN/wfXDuiZc1/WPTtPWosPPHkDwOQS714W16WPqywvivy0JgKHeVSnnqxDGus9NOY6vKtbe3Xbl8acP6tVxnp927vR49fKDTfex1qK+vO3v2lOc6d66z09atG58+eaRSqfSO0N/ff+PG31u3buQ6O23csO782VN6cm9oqDt75qSry29cZyev7VuioiJHR/Ub0AAHB+TuoGh01E8heRyCfFw06e7BceXn3iSHIAWtErzl77dNHIJ0ZzTNH3lZzSHIv9400lsOx1dzCDK6QETn2HAI8rug3DGFuqpXyiHIH4JyEULVPZNmZ8YSgqSfmnu3EG90Ci9YQpAcgvwxOK9zaAIXwLcR+FGseM7UviyA5e7p6SEUFmVlvXv65NHxo4exbdNSUvQKFxbkeax2wS02Xtu34GKXL1+kKAohVFdX4+a6Cm/EauY6OwUG+jOPUFZWtm7tatxhu3//nm1bN9EpOljuQ0ND+JdjjYfbvr278MK8rKXuAIsFkLvjEpzTyiFI94hJd0fkdXAIctXtQrrZo148jjVa2jWCEOqXTtq/tm+cPgiWO/du4dH4mv4x5eC48p+MxhhhN0IIy/374FyEkFKjHVOoL6XWcQjyn4zGMYV6TKGmczGvpNVzCHLb47L6/jGEUP+Y4nxSHYcgT7+qxQUOxlZyCPJSSh3+t6Zv7NjL6gV/g6YwmgrpsdolPi5Gr+TExAR28d27d4aHhxFC9fW1uOv1w4dshFBuLt/T0yMzM31oaGh0dPRBVAS2vGx8nD4C/km4dPGsRDL5K9va2sqU+4cPOVxnpw3r105MTCCExsbGHj18IBQWsfaGAIsCkLvj0jUsx9fIJZ0jOgqtul3IIciI/Gm9nVsel3II8kJyLULoTm47hyA3RE/rSsVy//VWvlKj39o+KfegXHrLtTcNHIL0fd/CLCaRqfBPSHHnCL2xe3SybpIJFZrqxXW7V9QrtUITM5a7q8tvBw/udV/NpS/GDZtTkpOTuM5O27duYg5xSkyM5zo7nT1zEiHU1NTY3f2xmUs2Po4v5Lu7O5lH2Lp5PXO8kl6bu0gkwv8WFHx8bwFAD5C7Q4OviC8k1wpaJRyC/MKHNzg+zZ5JlX0cglzqy5NMqFbeLuAQ5MvpXalY7jffNRseHMv9u5nkXtg+zCHIr/z5gdmtATktftmtvu9bvN83fx+cS980dI/Ifw7N4xDkigDBo8JOlvtUmW3uOp0uK+vdGg9XrrPT+fNn9MaphoUFc52djh8/HBUVSUdwoL9hfyxCSKVSCvg8fKj29ja8MTQ0iOvsdCssZHpJ/Q7VK1cu4S1+fj7Q2g4YBeTu0GQ1DmB3735WwSHIU4k1egXkGu13QbkcgsQ/AysCBHrZLFjuUQWdhgefpdxflvdwCPLbQMHOZ+W7n1XseV6x53nl3piKfS8qD7yoKmwfxsUkE6rf46rwNf7B2EpmDs9CY9ihKhQW4Rbzhw+jmSWvXbnMdXbas9vr/PkzhqGdSiXq7+/z8/NZu8Zt395d+FagtbWVeYTY2OfMwxrKXafTPXv2ZKpDdXNdnf4HBwAgd4dGq9Ph1EYcee1DhmW8s5roAn+/bdJ7dKpD1chgVyz3bwMF9Bajcs9plHAI8tew/BlrSyH0tLhruR8fdxWwdv1uNBUSN7a4uvzW0FBHb/TzIbjOTnduh5s5WkJCvMdql8OHDpSWliKENm9az5R7eFgo19kpMjKCuYupVMj6+to9u3dynZ3cXFfVVLPXCQEsCkDujs4tXjsWN/duoVFbtklktNzrGF2pmDnJ3fd9C4cgr00fGEVn6fBbJHpHoBBSayk0fVCraHhihT+fmdWz0BiVO0VRJ44f4To77d+3i258T05+hXMTcVcnE9yAIxaLXbgrvbZvoa/i9eSelpLCdXY6dHAvzq7B6Mmd+ZBSqbx08Sxun7HwywYWOSB3R6dPqsBujTQ9cHTX0woOQW56WGr40Ixy/zrgo9wj8kU4nRG37dT1jeNO1CtvGnBeTXrtgJaiEELjSk1O46BnlBBn5hyKr0qrFmPFK9STdxuPC4086UJgVO4IoYaGeuzcyPuTF9qjo6M4Of3C+TO9vZPTrkkkAwnxcadOHUcIpaYmc52dzpw5jh/S6XQbN6xjyl2lUu7auZ3r7BQcHECPctKTe0J8XGRkBD14Kjw8lOvsdOLEsQV8C4BFCMgdQIfiq5b68HBeilHe1PRzCNLouKE5yb22bxznwKzw5zuFF9BNNGotted5Bb45+NKXx2wpwsmRayKF+CZg19MKPOvZcr3nYiUAACAASURBVD9+q0T/6niBMCV3hFBExG3cOFNfP9k409ra6rnOA7t486b1eIoxrrPTvr27EEL9/X04LT08PDQ+Lman11Y61T08PBQfoaqqEqexc52dNm1ct2/vrn17dzHl/uL5U/ykp04cO3rkd/xQQnwcO+8GsFgAuQOIbB48+9pcj5xaS3HvFhqdGGBGua9gyB0h9KZO/NPUKKRfb+VnNQzi7WNKzZ9pDbg9Hbt7b0xFkWiyNzW7aWDP88olU8Z3u1dEd7SygBm5azSagwf34k5Uuimmvr7u7NmTdEb8po3rwsNC6ebyhPi47Vs3cZ2dtm7ZkJKSdPPGP3g4UmJiPH1YiUQSHOh/6OD+1W7OzOR6fJCuLlFQgD8eKsV1dlq7xu3x44fMthoAQCB3ACFEzTQnDEJIq7PYtL0UQt0j8v4xpaGNdBTqH1NKZMbvIZRarWh4wtSjtoZKperv71MoFIYP6XQ6PMQJIxaLVao55+9rtVqxWNzX26uz3EcD2BMgd8DCdI3I7+eLcKTWwCyGRijIz4uNjcHR1mZuGjUA+GRA7oCF4bcM0S3mO5+WW7s6tghx81+6peVdZoa1qwPYJyB3wMKA3GcE5A6wAMgdsDAg9xkBuQMsAHIHLAzIfUZA7gALgNwBCwNynxGQO8ACIHfAwoDcZwTkDrAAyB2wMCD3GQG5AywAcgcsDMh9RkDuAAuA3AELA3KfEZA7wAIgd8DCgNxnBOQOsADIHbAwIPcZAbkDLAByBywMyH1GQO4AC4DcAQsDcp8RkDvAAiB3wMKA3GcE5A6wAMgdsDAg9xkBuQMsAHIHLAzIfUZA7gALgNwBCwNynxGQO8ACIHfAwoDcZwTkDrAAyB2wMCD3GQG5AywAcgcsDMh9RkDuAAuA3AELA3KfEZA7wAIgd8DCgNxnBOQOsADIHbAwIPcZAbkDLAByBywMyH1GQO4AC4DcAQsDcp8RkDvAAiB3wMKA3GcE5A6wAMgdsDAg9xkBuQMsAHIHLAzIfUZA7gALgNwBCwNynxGQO8ACIHfAwoDcZwTkDrAAyB2wMCD3GQG5AywAcgcsDMh9RkDuAAuA3AELA3KfEZA7wAIgd8DCgNxnBOQOsADIHbAwIPcZAbkDLAByBywMyH1GQO4AC4DcAQsDcp8RkDvAAiB3wMKA3GcE5A6wAMgdsDAg9xkBuQMsAHIHLAzIfUZA7gALgNwBCwNynxGQO8ACIHfAwoDcZwTkDrAAyB2wMCD3GQG5AywAcgcsDMh9RkDuAAuA3AELA3KfEZA7wAIgd8DCgNxnBOQOsADIHbAwIPcZAbkDLAByBywMyH1GQO4AC4DcAQsDcp8RkDvAAiB3wMKA3GcE5A6wAMgdsDAg9xkBuQMsAHIHLAzIfUZA7gALgNwBCwNynxGQO8ACIHfAwoDcZwTkDrAAyB2YLy2Dsje1YjqCclppua+OKGY+9K5hwNqVtQ5FRYUfPuTQcerUcVruYWHBzIeam5usXVnATgC5A/OloltK29x8HE+osXZlrUNoaBBtc/NRkJ9n7coCdgLIHbAALveKZiP3D00Sa9fUOtTW1szG7Fs2r9dqtdauLGAngNwBC3Avt2NGs/8cmqfRUdauqdXYs3vHjHK/H3HX2tUE7AeQO2ABeqWKJTPJ3e99i7WraU1iYp7NKPf29jZrVxOwH0DugGXYF1NpXu5NAzJr19GaDAyIXbgrzZj92NFD1q4jYFeA3AHLkFrTb8bsG6JLrF1B6/PHpfNm5J6c/NraFQTsCpA7YBkUau03gQJTcn8m7LZ2Ba3Ph5xsU2Zf7eY8Nia1dgUBuwLkDliMv982GjX7Uh/eyITa2rWzPiqVynOdh1G5//vP39auHWBvgNwBi2Eq4f1kooOmtxtiKuG9sDDf2lUD7A2QO2BJ3IwlvDtsersh9fV1kN4OsAPIHbAkkfkiPbP/FOLQ6e2GHNi/B9LbARYAuQOWZGBc+Zk3pLebIz4uFtLbARYAuQMW5ve4KkhvN8OQROLq8huktwMLDcgdsDAZdQOQ3m6ea1f/gPR2YKEBuQMWRqXRfReUC+ntZuDzSDq9XSodtXZ1APsE5A5YnuvpjZDebgaVSrXe0wPS24EFBeQOWJ7KbimHIE9BertpwsKCIb0dWFBA7sCC4HqviGyG9HaT1NXWbN2yAdLbgYUD5A4AAGCHgNwBAADsEJA7gMaVmvr+8YpuKcSijureMYlMZe2zCbAVQO4OikKtvZfbsflh6Q/BubNc3hpiUcQKf/66KOGNzCbxmNLaZxlgTUDuDkpUgf4kMBB2FscTIFvJoQG5OyiBOa1Wtw/EgsbOp+XWPssAawJyd1BA7nYfIHcHB+TuoIDc7T5A7g4OyN1BAbnbfYDcHRyQu4MCcrf7ALk7OCB3BwXkbvcBcndwQO4OCsjd7gPk7uCA3B0UkLvdB8jdwQG5Oyggd7sPkLuDA3J3UEDudh8gdwcH5O6ggNztPkDuDg7I3UEBudt9gNwdHJC7gwJyt/sAuTs4IHcHhU25f+ZN/hyarxdf+Qusrj/7DpC7gwNyd1DYlPuvtwqM1kE8rsprG979vMLqHrTLALk7OCB3B8UW5E6TUt2/ZC4HvJBcl1E/sPFhqdUFassBcndwQO4OilXk3j4k98lq8clq8XnfElXQmdc2TNeHeNc8y6N9F5Sr1lIIIWHnqNUFassBcndwQO4OilXknt8+rPfQ8YQaCiGEkEKt+8KHN8sD1vWPI4Tu5nZYXaC2HCB3Bwfk7qDYiNw5BFnUMYIfXRdVMssDfu7NW3Wn0Or2tPEAuTs4IHcHxXbkHlfWix89l1RndSHaU4DcHRyQu4NiO3Knr9z3PK/gEOTPofkHY6sOxlZ9F5TLIcjPvMkjL6sDc1o9H3y8rt//ovJgbNXaSCG9ZcujsoOxVdsel3EIcqkvb/fzijBe+5nXtT8E59FlPvMmtz4uu8Vv933fYvQuYZkff/uT8n8zm+7lia6kNTiFFxiW8XxQcjC2as9Uhs+3Qbk3MpuvvWn4KTR/qS8P13zH03LDHf8XXoAfdb5bBHIHWADk7qDYiNwPxVXhNne5WvttUC6HIM8l1eHCu55V/BSa3z4kx/9SCD0u6sLt8gq1DiGUXN1PH6e0axQhVNM3tjqiuGlARr9MrY469rKGQ5BO4QWNjO06CkXkiZg12fiwVDQsZ75FSo0u6EObXoUz6gcQQqNyDYcgj76sxjVBCEkVmhOJNeVdUlzV1RHFejuSzRJcckP0bFufQO7AfAC5OyhWkXvzoOxyWgOOgJzWjPoBaqo+UQWduDAt9/0vKsu7pQghpWZSoE0Dss/Nyl2q0MjV2hG5OqtxkN8ypNLqEEIqrY541zwoU+koVNM7ViwawdsRQicSa/DuX/kLNLrJuqi1FF0AIXQheVpjES33NZHCCZVWq6O01OSOEXmig7FV+O+kqn7mXu73i3GhvDYj9y4gd2AhALk7KDaV557TJPl8KlWGlnujWFbaNbrqTuHnPrxDcVW9UqXXk8nmDlNyRwi9axhY7sfHG7c9KaN/PFolE3R7yMboUvyD0SiW4S1fBwgQQmVdo/tfVC73568IEFxJa8A7lnVNS7jEcpertV0jint5om8CBd8G5QZ/aOsYkuPnre4dQwhpddTK2x+7fF9X9uGj7WFxxBbI3cEBuTsotiD3caVW0Dqk149Ky31Qplruz6e3L/P7+LcpubdKJvQGQ+Frf4TQz6H5zO2vKvsQQlqK+tybh+X+orRHLxcTN+/0SZWGckcIva7sY26nq3c4vhoXiCntwVv+G5aPE/Ore8dYe89B7gDI3UGxitzLu6RuEcVuEcX/Cy/4OsD43DK03MN47aYOaKbNXa9kUlU/PtqK6U/n+74Fb//1lpFeUxwvK3rRVPO6odwNW9XpwGn4So3up9B8DkE+KOjEu9CtQCB3gAVA7g6KjXSompE77gidp9wfF3Xho+nJ/dqbyVaXNYyUG7q2Pu9bKnsmL/llKq2h3DW6yUt+o3EioQbvG1XQ+U2gYFypRQi1SSY+82bP7CB3AOTuoNi+3Hc9M9k8PXu5RxdOXjXPRu4e94VZjYMUQkqN7k2tuFg0gkzIXe9yXi+WECTOzJGptPfzRfiJrr1pYNPsIHcA5O6ggNzxdlruh+OrFWodhVBSVf9/w/I5BBlT2oM+Se4cgjzzupb5bvePKZf6znZyBZA7YBFA7g4KyB1vx3L/OkAwIlcjhOLLe+ky85H7Z95kq2SCfrf9sltYNjvIHQC5Oyggd7wdy33HlAcvpdRbRO4cgryQPPlCpArNChO9xyB3YOEAuTsoIHe8Hct9baQQ/1ssGsEzFmx7UtYzqkAIqbXUL2H5dO/u7OX+R2o9Pqa1Zq8EuTs4IHcHBeSOt2O5f+b9cRiUWksNjKt0FOofU+ItGh3VMSSfk9yXEGTL4ARCSKHR/RiSZ74wyB1YCEDuDgqbcv8xJK9YNFIsGnlY2DVj4T3PK3BhMzMA57YOFYtGghkTvzwTdheLRpgt5jiupzfhoy1njIHiEOShuCq8nZ46+IfgvJflvV0jiuZBWXJ1/9pI4ao7heVd0qEJdXbT4PqpactuCzqKRSM5TRLzr+Loy8mhTM9Luq1idpA7AHJ3UNiUuwMGHhmr1VG/3bbavPMgdwcH5O6ggNwXLuju2dQasRWrAXJ3cEDuDgrIfeGC1zKEEKIQWmsw/JXNALk7OCB3BwXkvkBBJ96QzTO0yy90gNwdHJC7gwJyX6BIrRHjd5ieoNhaAXJ3cEDuDgrIfSFi5e1CrY5CBrPAWyVA7g4OyN1BAbkvRKyNFF5Pb7qe3mTd1nYcIHcHB+TuoIDc7T5A7g4OyN1BAbnbfYDcHRyQu4MCcrf7ALk7OCB3BwXkbvcBcndwQO4OCsjd7gPk7uCA3B0UkLvdB8jdwQG5Oyggd7sPkLuDA3J3UB4UdFrdPhALGicSaqx9lgHWBOTuoCjU2nu5HZsflv4QnGt1DUFYMFb489dFCW9kNomnFhsBHBOQO4DGlZr6/vGKbinEoo7q3jGJTGXtswmwFUDuAAAAdgjIHQAWN2qtrmNowtq1AGwOkDsALG6upjV8HSDgtwxZuyKAbQFyB4BFTHThZNbTZ97k85Jua1cHsCFA7gCwWMlpGlxCkF/68t41DKyOKOYQ5OvKPmtXCrAVQO6APhRFva0VH31ZfSWtvnlQZu3qAMZpEI+v8OdzCPJNrRghNDCu/O124VIf3vCE2tpVA2wCkDugT0SeiEOQn3uTHIL8JlCQ3zZs7RoB+gzKVE7hBRyCDOe30xvvCDo4BBlX1mO9egE2BMgd+IhSoxueUC/349/L7RhXapKr+pf58Zf68sq7Rq1dNeAjSo1uy6NS/ANc0P7xp/fvt40cAlregUlA7sAk40rN5kelLveKVkcU0xuLRSNf+PB+CsnrGVVYsW4Ak/NJdRyCdL9fvCJAwCHIv982lnaNRuaLlvrwvvDhdQzJrV1BwCYAuQOTUBR1KrGGQ5BbH5cxtydU9HIIcm2kUKbSWqtuAA1ue/n1Vv7AuJJsljAnHljmx48v77V2BQFbAeQOfESu1m6ILuEQ5MPCTuZ2v/ctHII8+7rWWhVzQDQ6ynBjRt0AhyC/8ufX9Y/jLe4Rxd8H5T4p7orI62iXwFAm4CMgd0dnVK6u7h1rGpjMiukfU/4Slr+EIMlmCV1GR1FX0xpqesfoLU0DsospdWqtju3qOgZytXbzw9JHRV3Mjd0jimV+/CUEmd04SG/cF1O51Jeno4z8EgAODsjdcZGptL7vW77w4eGb+v/dKijqGEEIVfeOLfPjrwgQ0MbXg9cswa29f75pYLfKDgFFUScTa/CH8uebBuYv6OOiLr2bqj3PKzgEafQyH3BwQO4Oilqr2/2sgkOQpxJrngq7b2Y2fenL+8KHh/2Ob/9X3i4YmtCfZfBxUdcSRjvvk+IuY4cHPp3gD23MlvTdzypG5CZT153vFP4QnMvcQlFUWddoTtNgC4xRcGxA7vaPQq1ltqhgcL9cYsXHAY2V3dLPvUnPKCFFUQih24J2DkEyO+g0Ouqvt416s4d/5k0KWmFWE4uRXNVvOEU7926R0fZ0pUa3hCDd73/MbqrtG1t5u4De8XJqvQqazhwVkLv9E5DdyiHIks4R5sY1kULPKKFeyTOvazkESQ9xxFfxmFG5GrcAGMY3gYJW6MqzBLV9Y0t9eUbf5O+Ccpkp7RjRsJxDkAdeVOJ/mwdkK/z5y/z4ftktBe3D19MbOQR5Pb2R9dcB2AQgd/unolt6Ja1BL5Hxu6BcQ7l7ZzVzCFI0rJ8o3S6Z4N4tMrX0z2+3C2GWAoug0uoup9abep8/9yZjp48+LesaxXnu+N9jL6s5BPljSN5tQTveciKhZqkPT6mBi3dHBOTuKCg1Op+sZvqqfE2kkEOQbYwrbpVG53avyCm8QG/Hgvbh74JMLsW3/XGZYbs8MB8i80VLTLzbHIIk3jVrGd2nEXkirPKOITmHID2jhL1Sxboo4bmkWqVGhxvfukdgAJojAnJ3FFKq+zkE6fWkDDfCJlb0cQhy17NyrGaJTHUkvppDkC9Kp10bxpb14ElmjMalFGjSXRDeNw5+5c839bYfjK0aV2rowvierK5/nEOQ/tkteMvRl9VbHpVy7xZ9GyjAnSiV3VLDhh3AjgG52y3UVO5z94gCX7vh7tBLKfUIIR1FXUqpxzf7zncKl/rwOATp+76F3l2ro4h3zab8wiHI+/kiq7wuB6Guf/zXW/mm3nz3+8VdI9Naz3pGFbjrFadO6ijKP7uFQ5APCjrxoz+F5H3uTcaWwrRijgLI3W7htwzlNA0Wi0Z+CM7d/LAUIaTRUbhTlPbym1rxiYSaTQ9LT7+qFYo+dp+OKzUHY6tMmeUrf35Ww4B1XpUjMTCu2vyw1NSn8J/gvNLpE7r5vm/hEGRgTivdbpPdOKjVUTKVdm2kkEOQhhNJAnYMyN1uSajo/cqf/4UPzym8oH5qtPqoXO1yr4hDkGbs3D2icL9fbMopv97Kr+vTT6wEFgiFWotTmIzGUh9eUtXHZFaVVrfzaTmHINdECu/ni/DCqjqKOhxfxSHIG5lNCrX2YGwlZ3qGK0am1BDvmmWM1h5gsQNyt1vu5nZgBTSKx5nb2yUT3wXlLvfjG3V0adfof4LzTNlk08PSgXElW68AQAghiqLC+e1m2seCclrpJjgdRT0t7vKMEnLvFo5MqNHUvEAHXlTiy3l8Ff9jSB5zUCv9AwBNbfYEyN1u+SejyfNBCYcgNz8q1UuGK2gf/tyb/G9Y/sj0VXuSq/pN5VlzCPL0q1qFGiaGtA5vasVfmv5ojifUTExPdcWzzbws7+UQ5OqI4jHFx0ty/Ktf0vmxSQf/AByMrdTCNAZ2BMjdbqnslqKpTtRzSR8ndMxuHFRqdHFlPXQ2NEKIoqjgD61mLg9v8dopmJ3KqlR2S38ONXlT5fmgpE867aaqqGPkCx/eUl9e5/SBC3g0Q/XUoGU8pbP7/WI6Awc+aPsA5G5XkM2SSyn1f79tpFdsUGt1uBM1lGxDCPVKFSv8+bd47cy95GrtiYQaU9b40peXViNm/7UAhuAcdlOf1M+h+VU9UlyyY2ji+6nRCcxJJkTD8uV+/F/C8uVqLUJIKBr5wof3n+A8Ohf+eELNqjuFKhj3tPgBudsPeJoBHD+G5NF+H5Wr3SOKcfvMTyF53wXlMi/x+seU6x+UmPLFTyF5+A4AsBFwDrupz2uZHz+jboDuNo8t7TmRULPMjx/Oby/sGH4q7MYdKvjXunNY/n1w7lJfXhkj68Y7q3nXs3KYQ9gOALnbCR+aJByC3P+islE8Hpkv+syb5N4tpGcTHBhXeT4oWUKQ+2IqmSmP1b1jv4SZTKZeFyXslcLgRpuDzmE3FavuFHII0jurGSEkU2pOv6pl2j+luh8hNKbQrI4o5hAk/hchlNc2NCiDwcb2A8jdTvj7beOPIXlShQYh1DEkx7fku59V0EkRFEUxe9UQQhl1A8v8TA6DPPqyGtbVs2USK/qW+pjsYv0lLJ/Zxdo0IEuvE2c3DuKNWh2FcyJDyDZcAE/i7/mgBBrc7QaQ++JGrtbymiUIocKO4QvJdXjjgReVqTX9uCv1alpDRJ6oWDSityOdKGk0/LNb4Mbc9hGKRr4PNjntz5ZHpaauxG++a+YQ5KnEGqxyvPzWFz48w/MEWLyA3BcxGXUD+LsdkdeBEMKNMDW9Yz+F5Gl0lEZHbXpYyiHIJdNT3VUa3fmkOlNGWOrDY/a/ATZO57Act64YDafwgobpoxwQQrFlPRyC3BhdghNb5WotTplNrIDFte0KkPtiJbd16DNv0im84G5uR8/ox5bxoJxWPNnAhEr737D8BwWduYzFNAZlqi2PTI5o/z44VwjXbouNMYVm/4tKU5/pCn9+TtPHNVcpitr5tPzXW/l4MBpFUccTajgE6ZfdghDS6qjY0p49zyu2Pi679qaBeV4Biw6Q+yKgXTLxsLBTbyAS7jQzXOb0fr6IQ5Dnkmq9npSfT6pjPtQgHsezixiN1RHFnQYzuQOLAq2OupHZZOqTXUKQ0QUfV15VaXT0lP1BOa24f0VHUQr1xzwcPBXol7485g8DsLgAuS8C/slo4hBkBSMlES/BczC2yrCweEy542n5EoLc83za2psfmiQrTM8ie+BFpV53K7DoiCnpNjM/89W0aWttI4SSqvo4BLkuSoh7zvEkoFselVb2SKUKzdta8Y8heV/58/XGRgGLBZC7jVLZLd3yqFQiUyGExGPKlOp+iqLoTIbhCTW+1tbbK7N+AE8XpWfq6MJOM+s/3MhsgnHn9kFe29A3gQJTH/TOp+XMCSfe1IpX3i7A2a6dw/LPvEn3+8XMM+F1ZR+HIHGPPbDoALnbKE+F3RyC3Pa4jB4r2CaZ8HxQQs/viCduZI4w6hyWfx0g2BtTwTyOWqu7mtZg6tv+uTcZU9LN2osCWKBVMuF8p9DUJ+58p5C54C291kpWwwCHICOnTxxGUVR6nRgh1DOqgBEPiw6Qu+3yd3ojhyDpBMf8tuHPvcn/3SoYGFchhAo7hjkE+WNIXnqduGdUkV4n/u12od5cjyNy9a5n5aa+598GCvLahow/N7CYGZlQ47l/Z/+540FwRqd6L+8axdPJ7Xle0QYroS8eQO62i0ZH7Y2p4ExlOiKEXpT2cBizPL6q7PuCMYzlu6Dc7MaP3V9tkgnuXZNXcNy7067gADtDrdVdmcsdm1Kj+yZQ8HNovnhMv4W9vn88t3XI730LnpQGX1sAtg/I3aaRKjSu94o4BJlZP7m2xs3MJg5Bnn09Octj04As+EPbH6n1EXkdw4zm1Py24W/Nt73K1UaeD7Avogvm0NdCNks+8yZX3i6IK+sxOnFYTEk3hyDvCDpYfAXApwNyt3XwXALL/fg1vWMIIa2OOvCi0tQdNOZFqblVrQ2zJgA7JqdpcPZZUvwWCb6YSKnuV2l1T4u7/nzT8KioC7fG4Owa5kK7gC0Dcl8E4Im5/xs2ecs8rtTgWR7f1urPxKvVUTfN5zsXdhp7BsCemdP4Bo2Owi3yeNr3Ay8q/3zTsC5K6PWkbOXtgqU+vLr+j0NeZUqNaFiut+QLYCOA3G2RQZkqs37gSXFXzdSKCnhJnQ3RJXga7q4R+Q/BuV8HCEYZrStjCs0BsyMVPzRBTpuD8gkjk9dECn8KycPZt2qtbmN0CYcgY0t7EEIaHXUysQb3sq6JFMLKq7YJyN220Oqoh4WdXzHuoy8k1+EGULy2PT3ZU0nnKHOap85hubvZOUYaDeYYARwKpUZ3LsncWtt6cwo9LOz8zJskmyUaHYUnofs3o4l+tKB9GO94MLaKOf1kQfswzFFjI4DcbQh6kpB1UcLM+oHM+gE88xfOhtRR1KG4Kg5jmlaaks6RH0zPDrj1cZkE5ukGEEII3RaYW2s7ILuVng1Uo6Oel3Rvf1yGJ6fbF1NJTx/dPaL4MSRvqS8PS98zSkiPYt38qHQJQcK1vC0AcrcVekYVbveKOAQZxmujcxjUWh1OVMdzD8iUmjWRwuAP0+T+qtLcvN70hT8AYNLrxObn8ddba/uP1HoOQdK5WDKlxuN+MYcgk6v6EUIZdQOu94oGZSr8q9AqmYDBEzYCyN1WkCo0WO4vy6fd1RZ1jHAI8sHUxE94mlaMjqKYS+sZxt1cyFoDjFDVI/05dLYrcFX1SD2jhGemsm+PvazG1/h0AY2O0uqoQ3FVkCVpU4DcbQjRsPz74NwvfHhFHR8b0zuGJvDlvF7hCbNraS7342dMpcYDgCF9UqWn6bVzfw7Nq+wxsnYunm1m/4tKvbVc8KRjp1/VwkJOtgPI3ZpQFJVRPxCRJ0qrEePGk2LRyBc+vO+DcunlraMKRByCzG8bZu7YK1V4RglNfTN/Ccun02wAwBQTKi2ezN1ofOnLe2OQa3sppZ5DkCWd01Jr8Oofmx6WMm8rAasDcrca40rNZkZ22i9h+TiDOKGil0OQrveKekYVEXmiL3x4h+KqmBdKlT3Sn0PzTH0n1z8o6TcYQQ4ARqEoCk/pbirC+e3Mi/GSzhHckTM0MdlFX9A+/Lk3Sa/+AdgOIHergdekf17SPTShwjNxc+8W4rGjfu8n17ZfQpB/pNYzcw/e1oq/9DXZfXoysUYOV0/AHEmqMtcnf+Z1LXOhmMCc1s+9yaW+vAbxeLtk4rug3K/8+fi6ZESuDsxp3fSwdPPD0j9S6+m7T8AqgNytg0yl/dybvJxajxBSanRnX9euixLiVc20OkpHUYfjq7CsmXuF883lsQV/aIMWT+DTKOkc/U+wydvBzQ9LmfOFdY8o0uvEI3I1924RhyDfNw4ihETDcrw62LeBgq2Py5b78Zf68FJr+q33mhwdkPsC0jEkD8xpPRJf7Z/dojfZXrtkAqccDIyrNj8qPTaVq7lgfwAAHiNJREFUf9Y8ILuUUo+msh45BPlM2I2mfgBMffeW+vJSquFbBMyLrhE5XiTAaPzvVgFz4gE0NYcdPQU8vhz5N6MJz0YgHlNuflS61JdXDd0/VgLkvlBE5ouY7Se/hOWLGDN4aHXUMj++851Cp/CCoJxW+or7XFLtigABFn3PqOLHkLzPvMm3teLND02OHf8xJK+sa9Q6LxKwL8aVmoOxVabOtK/8+cw5pRVqbVxZD/67V6rgEOTh+GnrPvZKFUsI8s83Day+BmAKkLvloa+yXe4VCVqH6vrGcM7itelneQjZxiHIjdElgzIVQkiu1obx2jhT69BjyrtGl/rwzMza6nG/GJaoByyIVkfdfNds6nxbQpBRBSLDvSq6pRyCfFzUpbfdPaJ4TaSQlYoD+oDcLQxFUTuelnMIcl9MJZ0ZJlNpvw0UrAgQMEvK1do9zys4BLncj384vgrPy7r/RaWKMR9vduPgUtPdp4fiqmCcN7AQxJqdNfpyar1q+qzR/WNKDkH+/baRuVGl0X0fnOv1pBz/q9bq8AK/ADuA3C1PSnU/hyBXBAiaBmT0xu+Dczc/KtUrqaOocH47Hiv4v1sFT4XdzLSEqAKRmWt2n6xmHXSfAgtGQfvwd0EmJyzyelI+PH2mX68nZUt9eMwUeDzVHT1s9Wpaw9cBgipjY6OAhQDkviDgJhen8AI8YxfOclkXJQzntydU9BrmoctUWuYCGiqt7kpavanv1Rc+PL0pCgBgIWiXTOB8GKOx6k5h8+DHy5eeUcXPoXmfeZPnkmrv5nbgu1LnO4U4Nze6sBP3/D8s7CxoHzb9nIDFALkvCBRFnUqs4RDk1sdld3M7DL8Y66KEIWRbZY/UMHlxeELt9cTk6sbfB+UWdsB3A2CJEbl697MKU2fjN4ECQevHacJ6pQp6VuElBHngRSUe65TTNLiEIH8Ozfsno+lEQs0SgjwUVwVpuwsNyH2hkKu1G6In5+7g3i3MbhwUDcuLRSPRBZ3bHpfRX489zyuYTTEtgzKcLGw0XO8VwcAQgGXUWt2fb0yutf2ZN/lUOG2t7QmVtq5vjF6kt0E8vsKfT68TiRC6I+jgEKTe9PGAxQG5LyDiMeV/w/I5xtY7HRhXJVb0+me3MAeUClqHvjG9qvXemAqpArpPAevwqKjLTA/Q9fRGjc7IlfigTIVX+MtkTGNX2SPlEGRQTqthecCCgNwXlpreseV+fA5BZjXMMEfjM2H3Z6bzE0x9eQCANchmyYqAOVx8KDU6vLZfRN60qYBPJNRwCNJwVjLAsoDcF5zM+gEOQdLzbxii0VH/ZJhc1drwthcArEXTgMzMWtt6zYbNg7L/BOddTKljHuFNrZhDkDuelrNed4cD5M4GEXkdHALPnKe/3J1UodkXY3JV668DBPwWWNcGsCEkMhWz08iww5+5GkGvVMFcCKyiW/qlL++7oFxIeGcBkDtLXEiu4xDkH6n1zI2iYTlefclo6KWaAYCNoNLo8PlsNL7w4SUYWyO7Z1TxU0jeFz48SPdiB5A7S6g0usCcVuaA0mLRyPemV7U2HCQCADbFPWM5vnT4vW9hDrJTaXV4IjzmEA3IhlxQQO4LQkp1f6PYeAs7JqGi9wvTM2gbDu8GABsks35guem1tg/HV8kYa22/KO0JZGTIlHSO6E1XAFgWkLvlkSk1P4XkOYUX4BnB9NBRlF92i6nvg6mJmQDANqnpHfslzORa22sihUYntusakePp42E9yIUD5G55gj+04TN7y6NS5gAlhJBMpT0Sb3JVa70pVQFgUSAeU9Lj9Qzjp5C8iu5p88nIlBqPqYnjtz8us1a17R6Qu4XpGVUwp3E/l1TLfGhtpMlVrQ0XQwCAxYJcrT2ZaHKt7aW+H5dk0lHUobhpU8a/hYT3hQHkbmHOJ+lnEeBZ8Sq6pT+FzHYZMwBYdFAUhefLMxWhZBtFUb7v9dskncIL9G5wAYsAcrckld1So6c18a7ZzKrWZ6cvQAwAi5eU6n4zKxBsNNF6E5EH/UyWB+RuSbaaHtxhKgynnQGARU1Z1+iPpm9SjcaKAIHR7ANgPoDcLQYeVz37+NKXB62NgF3SM6rwML3WttGApVYtDsjdMig1OjNzbhjGz6F5lbAkDWC/yJQavY5T8/GZN2l+aAgwV0DuliEiTzT789gzStgn1V+MCQDsDB1F+WSZXGvbMPbGVFi7ynYFyN0CDMpUZqZC1Qu3e0UTjGF7AGDf7HpmclkxwyCbJdaur/0AcrcA10yvU2M0oKkdcBCeCbvn9NVwu1cE6xZYCpD7fKnvHzezQo3RWObHhzXgAbsnt3XIzPozpuIZrF5gIUDu8wWv8j7X+Dk0H5rdATumZVBmZs1IM/F9cC4sJ2kRQO7zIrtx8BNOXxyeUUJofAfskuEJtZl13mcM3/ct1n4F9gDI/dNRa3XcuyaX2phNHH1ZrYMprQH7QqOjvJ7MeTQfM5b68ETD8pmfCTALyP3TeVzUNZ8zeMuj0mfCbrkaLt4Be6N5UBZKtnHvfvrF+4mEGmu/iEUPyP0TGZGrvwsyuY6SmXC5V3Rb0M5cRxgA7JWqHqlPVvPPoSYnfDcTQtHIzE8AmAbk/onczGya05n6c2i+T1ZzNSxNADgeOorKbxu+nFr/9ayHg3AIckN0CazDNx9A7p9Cm2Ti89nleH0TKLiS1lDQPgxt6wCg1Ogy6geOvaxeanqNSWYkVfVZu8qLGJD7p2BmNSUcX/ryTibWZDUMqGAuXwAwYFSuji/vnXHw6n/D8qFT6pMBuc+ZgvZhU+fiZ97k3piKV5V940pI1AWAmemTKh8UdK6LMrlC2W1Bu7XruFgBuc8NHUUZPRE3Pyx9UtwFqykBwKfRPCAL/tC28rb+1Kpf+fMHxmG436cAcp8biRW9kPoCAAsERVGlXaP/ZjT9J/jjch9X0uqtXa9FCch9DkyotDipC6e+1EDqCwAsDBodxW8ZuphSt8Kfv4QgYe34TwDkPgeiCzuvpNVD6gsAsIZCrU2vEz8p7rJ2RRYfIPc5AE4HAGCxAHIHAACwQ0DuAAAAdgjIHQAAwA4BuQMAANghIHcAAAA7BOQOAABgh4DcAQAA7BCQOwAAgB0yZ7mrNIoWSXV+R3pSbWRU8T/3Cq9BLOp4UPxvSl10oSizbahWo1UvxEkGLDQarbptqLZQlJlSF/2g+F+rn1QQ84yo4n+SaiPzO9JbJNUqjeLTzoq5yb28R3Do1a9escsg7DKOJ69qGqz4tDMJsBZNgxXHk1dZ/eSBWKA49OrX8h7BJ5wYc5N7sOC01V8qxIJGtPDmJ5xGgBWJFt60+mkDsaARLDj9CSfG3OQexD9l9dcJsaDxQHjjE04jwIo8EN6w+mkDsaARxD/1CScGyB1iWoDcFx0gd7sPkDuEBQLkvugAudt9gNwhLBAg90UHyN3uA+QOYYEAuS86QO52HyB3CAsEyH3RAXK3+wC5Q1ggQO6LDpC73QfIHcICAXJfdIDc7T5A7hAWCJD7ogPkbvcBcoewQIDcFx0gd7sPkDuEBQLkvugAudt9gNwhLBAg90UHyN3uA+QOYYEAuS86QO52H4tJ7tfebb9f9FdybdTTMj9/3rH9Cf+x+ttn8TiZ4hIsOB0sOH0w8WerV2b2AXJfdFhK7n9kbLpXeC2pNvJ5eWAg/+Tvr36x+tlo8TiatBJ/K48kOVm9MrOPxSH3C2/XVfcVIEQxY0ItTaq9vy/hB6u/iRaMyKK/8av7852X1Ssz+wC5LzrmL/dTqW7Crmy9b6VCI3vb8MTOFB8kOIVfnT/vmNUrM4dq277cjyevGlMO651DdFzJ3GL1N9GCAXIH2GGecv/91S+Dsh5T30of8pDVz0kLBsjdJPOUe0WvAL+z/PYUf96xg4k/X8nc8kD4b/doM8jdRgLkvuiYp9wF7Sn4RC3qfBcsOH3o1S9/pG+MLPq7daga5G4jYety3xW3Qq1VIkR1jjTuiF3OfGh3/LdvG55czths9TfRggFyB9hhnnIfVUgQogZlPbvjv2Fu3xW3IrH6LpFzwOrnpAUD5G6S+cj9wtt1+G1NqYu2+pvFQoDcAXaYj9wPv/4Vn6UfWl9Z/dxjIUDuJpmP3I8mOeG3VTzeafU3i4UAuQPsMB+5747/RkdpEaLGlMO74r+2+um30AFyN8k829y7RpvxO1vclXUg8ccZy/+RvjGh+rawK7u2v+hNwxM/3lFTJS+lb4ivulUgymiWVBR3ZcVVhp5OXW1YbHf8N3++84oo+jOpNjJaeOOf97v3vvzesFh4/qXUuuik2kiv2GWnUl3jKsMqegW5HWm38/8wWt4rdtnel98/KiHI1lctkqqyHt6rmnvZLS8N5f5HxqaE6tvCrveNg2X8tmSjC45HFF5LrYuOqwzzil22I3a5H++osCtb0J5CfDi49+V3KXUPUuuiYytDDXf0/vB7al10al30X1k7PvkzArkvOubZLFMnFuITtbqv4PDr/81Y/tybNXGVYUWd7+oHhBmNz0Nyz5gqeTbN40VFSF7H22ZJhbArO7H67vk3aw2L7YpbcSVzy93Cq0m19x+VEDey9xmVQyD/JD69d8d/ezRpZUxFUFkPWdiZGVF4zZRMdsd/E1V8PbvlZbOkorI3N6k28k3DE0O5n3uzNq4yrLAzs3GwPLc99U7BZb12Y6/YZWF552kneMUuu5mzv0CUkS96G8g/sTPuq9c191Prol/V3DPc8e+sXbja82ngWgRyD+AfpygtfnP7x0VmHLQjdvmz8gCNTqXXd0+2vdbT6464r+IqQw1LIkSdTHFhlryRvb9vrF2vzIh8wPDszBe9RYjS6FQB/OMy1SizfG1/0e74bw0/v76xDlP5BljuO2KXx1QEaXVqvUdLuz/silvBPFpZDw8halje7xW7LK3+EV2SQrr4qlt0ytq/2Xv13rEeaRtClEqrmM1X1FSA3Bcd85T7P+9301+foYk+4sNBM4Uji6+rtHK9c7i4K8twMMfDkpuGJRGirmZuZRa79m67aKRBr8y4avRe4TW9A2Y2xeBHA/jHRxWDzPJtQzWGY2X+yNhkeGQ6aLk/EP5rWM/6AeHel98xj8ZrS8JO8Ipd9qIihFn4bcOTnNZE/LehTJoGyxGidJT2TJr7J39Gi0DuXrHL7hZe1eiUtK3I1leHX/9qWCymPBCXGZT1pDc8Tay+S19f5LQmMkvSP8UUpe0Yri/qfNciqVJpFQhRzIv3l1XhFNJNnTojbUM1E2op/fG8a3rBPCaWO65hx0j9q5p7j0q9a/on0/Nz21OZhS+lb6CV3ThYnlIXnVh9p1ZcTL9MLPcjU61SGp2qfqCkWVJJ1+dFRTDzgLTc7xZc0VHaZkllx0g9LhyWd/5K5ha8V2Vv7rSPX3Aab89qip3PBwRyX3TMP889kH9SqZmgvw4Foozjyc6GxSIKr+ECo4rBzMaYhOrbdP6bsCubWTK2MpT+BnWONBZ1vmsaLFdoZGj6jezDkpu6qau9CbW0baiGmSpdIEpnHpOWO0Vpe6StybVRD0tulnZ/wBsregXMwidTXPDTYfW/qX/8siq8qi+f9jiW+47Y5fhfLaVpllTUD5TQ9Umrf8g8IC13f94xLaVpH65rGarGl6qPSojTqau1lAY/F3Ovf97vpt/S+XxAi0PuXrHL/sjY1DnSSH+Eo4pBX/Iws8DRJCe5ehwhqqa/kPn7mVh9F/8GXnjribdcTN+A39NhufhG9j665KFX/02pi6ZP0BvZ+/DH0D8uYl7wEh8Oisc7cTWYLSS03AtEGfRl9Y64r5olFfgDpi8T6I0U0j0qIZivIrL4up7cKaRLqr1P33lceOuJld06VM3cEctdpVVIFRL6Vu5G9n5eWxKzgN5FUONgOT5HT6W6zefTAbkvOiwyQvVsmkezpJL+VspUo6G555gF9if8B18vtw3VMJtBHpV6412uv9/tNSlWLv6pGFeNMls/DiT+mFB9++Lb9bQH8AXQ0EQfs8X176ydnaNN+JhRxdfp7bTcq/ry9rz8ePdMfx2YP0jlPXy88WVVOLOphL4GYsr9XdML+ht9PNkZ12pA1sV8+VjuFKUdVUiCplxx7d32AlH6jrivvGKX8duSkcHIgNLuHLxxnnnei0buXrHLdsV//aIimL5YoJAuPP8i/ejLqtt4o56ndsZ9hdO26B/V3I40fATz95Li8S6EqAn1mOH1yLHk38ZVowhRUoWEbm/Bctfq1DvjvmIWflrmh5/uWuY2vOVmzn68RdCeondkvQ7Vg4k/G96y4R8G8fi004g+WWMqgoy+nL/eeeECRZ3v8JbrUxcIeR1v5vnRgNwXHZaafmBH3FcPS24y72iZ1yvRwpt6Jz8duD2QbHuN/01vfIZL3sq7YObpWoaqEaLUWqVhQ/zBxJ8kE30IUQqN7NDUEFla7nqDZu8UXMbbfckjeMul9A1GL+e9DDpUd8Qujyj6U68MvhuQq8eZG7HcDa/o6Tib5oGv+uvEQrzlwtt1+Oqtqi9vnh/NYpI7jlOpbvRPtEanoj/jAlEGvhgPz7+kF7hLtrgrC5fE/7ZIqsw8y8kULn6KhOrbRgs8n2oCupIx+etKt7nrlQzLOz91Gk3eajwu9TH1yzxjtszvr36p6svH9y7M7bTczYz8rur7//bO/K2Ja43jf1O01mqv9WlrW3vvba8+T+t9+jgILqUoblVAaUHRet0QHkS9LIorDSFAgBiWEJClBBKQgBAIa2SLIEskGPYwc3945XScSdKQjNdMeL/P9xcOhxOSOeczZ97znhMtzCPgQyMThOiS7328KAh30UnYg8PCCz6HOQd0sDjNHijXdMuAtvxRCfVNY0+hJkRQ3SfF7c/dDA/T6m6p0wqpKyGgS5VvJsIE7pzw+oWKNxOs/9ZHQ8nNutP8STT4L7NlDuR+rBtUw0Mwu5zAPaLoX67eFJlrxmmCKZmkqk8BP/7nyQEfL4r44A4fJQCOYeiKXjkUsoM2Tt3/ykTJJMHZH8BCUJXbFF1yORNqjjqtcFYTBBVSdDFQ4gruV6oOMW8vm2h6sqGEfzCOK7jvy/koRRfTbKkhkXrb3AS7AsD99cKUmzdFpuo15sLIoh0wQWi21Ph+RRDuopPgp0LuzdmoHyzjPB22j+rdj8rJmRGoOT0/yTB00/ATNy8RpwmGv+JPnMEnVN9Ahd+bE6DEFdxj1D9AeUbDeShRGNOghJNSQbmGe7B8ww1tVONQOWy0ZBiaZpbZFUhYhpP+wHZU8U64Yxks1eEF2yC8437q6aFFCXdKJvn58T+BTRZbH5TAfHzY1hun2ePUMMUOkW+E5yASjHbqG9oo9/fqX0r/DRXuN12CEtdwP8iBe0H7bbjk/BQap3C/23jBNjfBMPRza8edhnMwhJzCHbJl3Ng4qmMY2rG8SBa1zpfv9f1yINxFp3dx5G+YYivMnKbnJ6EE5uPW2ZeuRmVs2W6oCQlmBku1m/YvVoZyZlQcHyn8CirktaVAiedwzzTEQ0l4wTZOs07hfqsuGqJAw7beB02XK/sUruDOZwLHEHVgGJqs9LpJFfXc/g73MMVWV080Zms7e64KMYcFx6ybmyQYgn2cFWqOI4p2wKcsb73htAKh8PmVFSHP4Z5S/yuURBXvdNUsgbuyI4Nh6Ol5a0r9r7DIAz3GO7iTp1FmJVHH9z5EIdxFKB83Mbla6yOhPxiG2v4iQF5o3hb3bXaONTG8BUmOwxRbod+WdGU6rUAoTFYvPYf71epwKOGkC1PO4A5R2bkl+93GC7DGpjLd8xrup0u+I1lwDENbbGZ+5rsX9ne4H1N+PW4f5vM9RP4hrMJ3jRughASyc1pvOm0qfOUsZnKfTHS2GwgclL0ephLT85P8Q5z3524esw/BZSOhFc/hTjJeSrt+51TmwP3447/DIxt7/5EvcKdkEtPYU9KNEmqO+d6HKIS7COUL3PflbLLNTZDVJvaogZmTxWaGEhLIdoVjMiohOs+8nevCNySqzS3Z+fsNg+UbIEWdph0kCcJzuIcXbIOYJz+/gAP30LwtEIcpMj0gdXyBOyWTNA6Vk1GZrj8ryKgUAdwZhp5fmpG2JJKlwtiy3SS6R3Z/heZ9AmE7x/Ji9rNk9q7o6NJdTcOV5JpFl+6CVMiZRdttfRz7JnmuPOTsypQ5RRcDLzH4qoudPhhRtKNr3AC/ymYx13O4UzJJlTmfYWgHvfTQcIX9D3DgHl99GH68rY8jdSB9ymu4J9QcgzaHpnoEmSBQCHcRyke4Q1fPa0shU5/oku/J+mFFbw4Uhsg3jtuHgXrKjgx2jnJE0Y66gWKy8eL4439AOvmCY/aR4WoQK+UsRv0DSVkmI2Jkup89xT6m/PrZi1r4VVHnQ1LuOdwpFqBz226xc944cCeJZ1ktSaROkemBL3AnywmTMyNCnejg/3DfTm5oS8sLI9P9EOcizy/sraeJfxwne1nnl2b6Jtv6rSaSOsm+ISs77pJGpuetXeMG09hTyJjMbL5Gqv25L4l2vHw92DZSb7GZyYaFzrEmdhdcFdwP5n86MfOC/AODr7qMo7rWES05awHgHrkSHbLYzPHVhyOLduS1pcD8wrG8mFR7Mt+YDg16DvfC9juM28ClF0a4i06+wf0jMnwc9NLL10PwIAu2zo6yU7Z+q9hHsgAWHHPPrR3mSSNsSWEYunWkjtQkmxAZhrYvTPVMtLS/bLDOjjIMXdh+h1T7c18SszxuHzaO1g9P9ZCXGHzVxV7KWhXc9+duttj6oPz1wtTQVE/7qL51RNtvNbHhfjD/M+DMxMyLpNoTJ1XfSlsSYQskw9A3606rTPehQc/hntl8Df6czR8f7e9wp2SSS5Vh5kkjuerEnWNN/HBNsjaS7DHjVGbf54Nk6zIaf5tZnObXZH+4QdnrHxmusrfhkT6a23aLsxy6KrhTMklo3hZyKDbfJOZOtjmAoTez3xdU8xDuB3I/hpTkcbvlLxcnPDfCXXTycUE1ThPMju8Rm63t/FO4L1eFvX77QI43lSeNnKOfbtVFw/M3x2y4UzLJbX2cndegY3lRZbrHyUBbFdwpmWRfzqay7ix2BJxtEnOHeTrxq9kxsgGKYUWlPIR7sHzD5MwI3FEE/Go5EcAdfKnyJ2lzQmWfQj9YVtCe7iZY/GPe3+42XlB3S+sHStVd0kxDPMm65Ti8YFu6/qzKdA/O2Mo3pl+sDOWcT03JJEeV29P0Z4o7HzYMaVSm+2m62GPK7fzWrtdGKIypOa3cvPgTqm8UxlSFMZW/fErJJEcKv7xaHS5tSYQ6xEcKv4QKQbJ1qbrYGnOhuluaposNkW8MzftE2XG3fqD0QdNlsunuVl20wphKMsBcWdqSCP3vYdMVofoQhXAXoQTJljlfvjfTEF/RK28Y0ig7MpK1kUFv7+Aj3pezKV1/tqQrs36gtKw7S9qc4CqPO0yxNVUXq+zIaBjS1ParlB0ZV6oOcc5soWSSQwWfp+hiVKZ7DUOaks5HtxvOOT2GJb76MAwozrg+XPgFlHNOrSGNX64Ky2y+xhmVJ1XfkjrJ2siqPkV5jzyj4fz+3M17czbmG9N1g2ppSyK5kST+8bNTJnCcpj8Do1JhTBNwVIoG7mjfHSL/0Dr7kmHo6Xmrq4MqvTPCXXR6F6mQaC8cJFsHsaAFx6zTI7O8NsJ9DZkcXONq263XRriLTgh3PzE5uMbVtlvvW0a4rxEHZa+Hs4vZJ28IZYS76IRw9xPDyWsOeom/M9ZHI9zXipNqT8IEoaTzkeCNI9xFJ4S7P/hCxX4YlZwjwQUxwn2tGL6W3rG8eNTZarCPRriLTgh3fzCcAkIzy6dKvhO8cYT7mvDFJz/CBMH9iTpeG+EuOiHc37ujS3fBqDRYqt5F+wj3NeGD+Z9FFe+MKt7J/14xQYxwF50Q7u/dPym2wqh0c0y3L0a4owUwwl10QrgHvBHuaAGMcBedEO4Bb4Q7WgAj3EUnhHvAG+GOFsAId9EJ4R7wRrijBTDCXXRCuAe8Ee5oAYxwF50Q7gFvhDtaACPcRSeEe8D7/wF3dXeWUN/4g/ZD78n+QDeg9qIbod6jdAPqPcId6I/2NwfJ1qm7s7zoGKuDO8MwL2zPK3pzs1qSrtdGxJbt/qV0F1rUPlNG3dCeyn6WXNmXP263eNGHUO9d43ZLZV9+9rPkG9pTZ8qo996p0D46tmz39dqIrJakit7cF7bn3vWKVcMdhUKhUP4vhDsKhUIFoBDuKBQKFYBCuKNQKFQACuGOQqFQASiEOwqFQgWgEO4oFAoVgEK4o1AoVAAK4Y5CoVABKIQ7CoVCBaD+B/LBgmiYfMnpAAAAAElFTkSuQmCC" 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MongoDB程序，配置文件，启动脚本地址：链接：http://pan.baidu.com/s/1hslX7Ju 密码：jlei
node1 部署：
# 拷贝到其他两个节点上。
[root@node1 ~]# scp mongodb-linux-x86_64-rhel62-3.2..tgz 10.0.0.11:/root/
[root@node1 ~]# scp mongodb-linux-x86_64-rhel62-3.2..tgz 10.0.0.12:/root/ [root@node1 ~]# tar xf mongodb-linux-x86_64-rhel62-3.2..tgz -C /usr/local/
[root@node1 ~]# ln -vs /usr/local/mongodb-linux-x86_64-rhel62-3.2. /usr/local/mongodb
`/usr/local/mongodb' -> `/usr/local/mongodb-linux-x86_64-rhel62-3.2.8 [root@node1 ~]# vim /etc/profile.d/mongod.sh
[root@node1 ~]# source /etc/profile.d/mongod.sh # 建立运行mongodb服务的用户
[root@node1 ~]# useradd -s /sbin/nologin mongod # 创建mongodb配置文件及数据存放位置
[root@node1 ~]# mkdir -pv /mongodb/{conf,log,data} # 编写mongodb配置文件
[root@node1 ~]# vim /mongodb/conf/mongod.conf systemLog:
destination: file
###日志存储位置
path: /mongodb/log/mongod.log
logAppend: true
storage:
##journal配置
journal:
enabled: true
##数据文件存储位置
dbPath: /mongodb/data/
##是否一个库一个文件夹
directoryPerDB: true
##数据引擎
engine: wiredTiger
##WT引擎配置
wiredTiger:
engineConfig:
##WT最大使用cache（根据服务器实际情况调节）
cacheSizeGB:
##是否将索引也按数据库名单独存储
directoryForIndexes: true
##表压缩配置
collectionConfig:
blockCompressor: zlib
##索引配置
indexConfig:
prefixCompression: true
processManagement:
fork: true # fork and run in background
pidFilePath: /var/run/mongodb/mongod.pid
##端口配置
net:
port:
bindIp: 10.0.0.10 # 配置副本集重要参数
replication:
oplogSizeMB:
replSetName: rs0 # 创建日志文件
[root@node1 ~]# touch /mongodb/log/mongod.log [root@node1 ~]# chown -R mongod:mongod /mongodb/ # 编写服务启动脚本，该代码比较长，这里不再展示，
[root@node1 ~]# vim /etc/init.d/mongod [root@node1 ~]# service mongod start
Starting mongod: [ OK ]
[root@node1 ~]# netstat -ntplu | grep mongod
tcp 10.0.0.10: 0.0.0.0:* LISTEN /mongod
node2、node3 配置和node1一样。
node2:
[root@node2 data]# service mongod start
Starting mongod: [ OK ]
[root@node2 data]# netstat -ntplu | grep mongod
tcp 10.0.0.11: 0.0.0.0:* LISTEN /mongod node3:
[root@bogon ~]# service mongod start
Starting mongod: [ OK ]
[root@bogon ~]# netstat -ntplu | grep mongod
tcp 10.0.0.12: 0.0.0.0:* LISTEN /mongod
node1 上进行配置
[root@node1 ~]# mongo 10.0.0.10: > rs.status()
{
"info" : "run rs.initiate(...) if not yet done for the set",
"ok" : ,
"errmsg" : "no replset config has been received",
"code" :
} # 初始化副本集 > rs.initiate()
{
"info2" : "no configuration specified. Using a default configuration for the set",
"me" : "10.0.0.10:27017",
"ok" :
} # 添加node2和node3成员
rs0:PRIMARY> rs.add('10.0.0.11:27017')
{ "ok" : }
rs0:PRIMARY> rs.add('10.0.0.12:27017')
{ "ok" : } rs0:PRIMARY> rs.status()
{
"set" : "rs0",
"date" : ISODate("2016-08-13T09:37:42.412Z"),
"myState" : ,
"term" : NumberLong(),
"heartbeatIntervalMillis" : NumberLong(),
"members" : [
{
"_id" : ,
"name" : "10.0.0.10:27017",
"health" : ,
"state" : ,
"stateStr" : "PRIMARY",
"uptime" : ,
"optime" : {
"ts" : Timestamp(, ),
"t" : NumberLong()
},
"optimeDate" : ISODate("2016-08-13T09:37:05Z"),
"infoMessage" : "could not find member to sync from",
"electionTime" : Timestamp(, ),
"electionDate" : ISODate("2016-08-13T09:36:07Z"),
"configVersion" : ,
"self" : true
},
{
"_id" : ,
"name" : "10.0.0.11:27017",
"health" : ,
"state" : ,
"stateStr" : "SECONDARY",
"uptime" : ,
"optime" : {
"ts" : Timestamp(, ),
"t" : NumberLong()
},
"optimeDate" : ISODate("2016-08-13T09:37:05Z"),
"lastHeartbeat" : ISODate("2016-08-13T09:37:41.063Z"),
"lastHeartbeatRecv" : ISODate("2016-08-13T09:37:42.065Z"),
"pingMs" : NumberLong(),
"syncingTo" : "10.0.0.10:27017",
"configVersion" :
},
{
"_id" : ,
"name" : "10.0.0.12:27017",
"health" : ,
"state" : ,
"stateStr" : "SECONDARY",
"uptime" : ,
"optime" : {
"ts" : Timestamp(, ),
"t" : NumberLong()
},
"optimeDate" : ISODate("2016-08-13T09:37:05Z"),
"lastHeartbeat" : ISODate("2016-08-13T09:37:41.063Z"),
"lastHeartbeatRecv" : ISODate("2016-08-13T09:37:42.065Z"),
"pingMs" : NumberLong(),
"syncingTo" : "10.0.0.10:27017",
"configVersion" :
}
],
"ok" :
} rs0:PRIMARY> rs.isMaster()
{
"hosts" : [
"10.0.0.10:27017",
"10.0.0.11:27017",
"10.0.0.12:27017"
],
"setName" : "rs0",
"setVersion" : ,
"ismaster" : true,
"secondary" : false,
"primary" : "10.0.0.10:27017", # primary节点是：10.0.0.10:
"me" : "10.0.0.10:27017", # 当前节点是：10.0.0.10:
"electionId" : ObjectId("7fffffff0000000000000001"),
"maxBsonObjectSize" : ,
"maxMessageSizeBytes" : ,
"maxWriteBatchSize" : ,
"localTime" : ISODate("2016-08-13T09:38:07.799Z"),
"maxWireVersion" : ,
"minWireVersion" : ,
"ok" :
}
测试：
通过primary节点添加1万条数据，看其他两个SECONDARY节点是否同步
rs0:PRIMARY> for(var i=;i<=;i++) db.users.insert({id:i,addr_1:"Beijing",addr_2:"Shanghai"});
WriteResult({ "nInserted" : })
rs0:PRIMARY> show dbs
local .000GB
test .000GB
rs0:PRIMARY> use test
switched to db test
rs0:PRIMARY> show collections
users
rs0:PRIMARY> db.users.find()
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff5"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff6"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff7"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff8"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff9"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffa"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffb"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffc"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffd"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffe"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8fff"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9000"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9001"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9002"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9003"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9004"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9005"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9006"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9007"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9008"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
# 查看 SECONDARY 节点
rs0:SECONDARY> show dbs
--07T03::41.419+ E QUERY [thread1] Error: listDatabases failed:{ "ok" : , "errmsg" : "not master and slaveOk=false", "code" : } :
_getErrorWithCode@src/mongo/shell/utils.js::
Mongo.prototype.getDBs@src/mongo/shell/mongo.js::
shellHelper.show@src/mongo/shell/utils.js::
shellHelper@src/mongo/shell/utils.js::
@(shellhelp2):: # 首次在SECONDARY 访问集合的时候是不允许的。 rs0:SECONDARY> rs.slaveOk() # 首次访问集合需要执行rs.slaveOk()
rs0:SECONDARY> show dbs
local .000GB
test .000GB rs0:SECONDARY> use test
switched to db test rs0:SECONDARY> db.users.find()
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff5"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffd"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff6"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff7"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffe"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8fff"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffc"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff8"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ff9"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffa"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e8ffb"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9000"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9001"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9008"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9006"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9005"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9007"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9009"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9002"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" }
{ "_id" : ObjectId("57aeecd04f49c2b3d60e9004"), "id" : , "addr_1" : "Beijing", "addr_2" : "Shanghai" } 以上结果就说明同步成功。
down掉PRIMARY服务，看看会出现什么状况
[root@node1 ~]# service mongod stop
Stopping mongod: [ OK ] rs0:PRIMARY> rs.status()
{
"set" : "rs0",
"date" : ISODate("2015-12-06T19:36:07.801Z"),
"myState" : ,
"term" : NumberLong(),
"heartbeatIntervalMillis" : NumberLong(),
"members" : [
{
"_id" : ,
"name" : "10.0.0.10:27017",
"health" : ,
"state" : ,
"stateStr" : "(not reachable/healthy)", # 检查到node1节点不健康。
"uptime" : ,
"optime" : {
"ts" : Timestamp(, ),
"t" : NumberLong(-)
},
"optimeDate" : ISODate("1970-01-01T00:00:00Z"),
"lastHeartbeat" : ISODate("2015-12-06T19:36:06.814Z"),
"lastHeartbeatRecv" : ISODate("2015-12-06T19:35:37.559Z"),
"pingMs" : NumberLong(),
"lastHeartbeatMessage" : "Connection refused",
"configVersion" : -
},
{
"_id" : ,
"name" : "10.0.0.11:27017",
"health" : ,
"state" : ,
"stateStr" : "PRIMARY", 将PRIMARY转交给node2成员
"uptime" : ,
"optime" : {
"ts" : Timestamp(, ),
"t" : NumberLong()
},
"optimeDate" : ISODate("2016-08-13T09:48:04Z"),
"infoMessage" : "could not find member to sync from",
"electionTime" : Timestamp(, ),
"electionDate" : ISODate("2016-08-13T09:48:04Z"),
"configVersion" : ,
"self" : true
},
{
"_id" : ,
"name" : "10.0.0.12:27017",
"health" : ,
"state" : ,
"stateStr" : "SECONDARY",
"uptime" : ,
"optime" : {
"ts" : Timestamp(, ),
"t" : NumberLong()
},
"optimeDate" : ISODate("2016-08-13T09:48:04Z"),
"lastHeartbeat" : ISODate("2015-12-06T19:36:06.813Z"),
"lastHeartbeatRecv" : ISODate("2015-12-06T19:36:07.513Z"),
"pingMs" : NumberLong(),
"syncingTo" : "10.0.0.11:27017",
"configVersion" :
}
],
"ok" :
}
经过以上测试，实现了MongoDB副本集的高可用。