Spark-用户应用程序入门

 /* 
2  Spark Standalone模式下的Application 
Application是Spark中类似于Hadoop的Job的用户提交的应用。sc是Spark集群初始化时创建的SparkContext,Spark中包含Action算子和Transferer(lazy)算子。有宽依赖和窄依赖。默认情况下Spark的调度器(DAGScheduler)是FIFO方式。
4 */
//默认排序输出到磁盘文件
scala> val r1 = sc.textFile("/root/rdd1.txt").flatMap(_.split(" ")).map(x=>(x,1)).reduceByKey(_+_).saveAsTextFile("/root/rddOut/noSort")
FileOutputCommitter: Saved output of task 'attempt_201507140546_0014_m_000000_14' to file:/root/rddOut/noSort/_temporary/0/task_201507140546_0014_m_000000 //字典序正序排序输出到磁盘文件
val r1 = sc.textFile("/root/rdd1.txt").flatMap(_.split(" ")).map(x=>(x,1)).reduceByKey(_+_).sortByKey(true).saveAsTextFile("/root/rddOut/zSort")
FileOutputCommitter: Saved output of task 'attempt_201507140546_0017_m_000000_17' to file:/root/rddOut/zSort/_temporary/0/task_201507140546_0017_m_000000 //字典序倒序排序输出到磁盘文件
val r1 = sc.textFile("/root/rdd1.txt").flatMap(_.split(" ")).map(x=>(x,1)).reduceByKey(_+_).sortByKey(false).saveAsTextFile("/root/rddOut/fSort")
FileOutputCommitter: Saved output of task 'attempt_201507140547_0020_m_000000_20' to file:/root/rddOut/fSort/_temporary/0/task_201507140547_0020_m_000000 //spark-shell.sh中的的wordcount
val word = sc.textFile("hdfs://soy1:9000/mapreduces/word.txt")
word.flatMap(_.split("\t")).map(x=>(x,1)).reduceByKey(_+_).sortByKey(false).collect

通常在spark-shell中测试,但实际生产中则会使用IDE工具开发Spark程序。接下来我这里演示使用IDEA编写Scala版(建议使用Scala语言开发Spark的应用程序)的WordCount如下:

1、使用IDEA工具创建SparkTest项目,导入依赖包spark-assembly-1.4.1-hadoop2.6.0.jar,创建WordCountApp.scala,最后编译为SparkTest_jar.jar。

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*HMyJuHK5v2WsYnod8QFzsQ1LkQhn6fWn+xP9wq6NBIrZeoR13gb7V1a7xF4t64yuMugr2rLxfiQ5JmiuhHyewMAMCwETMolGGUsFOiv66MEZZGHs+n5opaD+krcbeozSdnEJewKo/nAwAMGTGDQqEIpamngCdnfvdL7d/ocT1eke5dyehvAQBgRIgZFApFKE3FjFvZ8zQAAMAEM7z/cyMoo27W1CmXvjSllbVnDo/8qCiU8S3EDAAAUMfExgySBoVSpzz66KPxh0O9cvHixaaqolAoFAqFMi6lXTHj+PGFW7euVthQjBliGfl7pFDGohAzKBQKhUKh1Cntihmzs7Ozs7MvvHByY+Pv+9pwFDHDf6B1zed2H7La8uRvCiVRiBkUCoVCoVDqlDbGjNnZ2bm5ueXlH5TfsEyEGEBvRr8hgVBBGZtCzKBQKBQKhVKntDRm+Obnj62uLpfZcDxihtsxiRmUMSnEDAqFQqFQKHVKq2OG7/LlHxVuWClmBKOeLP8xvvbpeByU2zHVAVHBP++w3fAsOTvCh+3uWPAeC0dPJYdRBVsZhnVI2Z06zkoadpXYl3qE5BPKUAsxg0KhUCgUSp3S6phx9OiRa9fOl9mwam/GIcswLOeG53ZMs+N6Ycs+eO2vc9o277BddZ1wSdybkX5x2jYNy/FfqLlCSwvakvS+wiNkwBVluIWYQaFQKBQKpU5pb8w4d27pgw9+XnLDGjEjKyeUWafMC3F3WUv6rZBCGVQhZlAoFAqFQqlT2hgzTp16Zn39el8b1o0Zid4DrTWf3ZsRz7VQ6tF7M266ziFX681wDmX0b4i9GcQMyggKMYNCoVAoFEqd0q6YMT9/7PXXL1XYsOoNbaP5EtHAJG36xE3Py56bYd4RTeFw7Tu0JdH8DdM+re8xc7aGODdDmvhBoQy4EDMoFAqFQqHUKe2KGZVLjZhBw51CEQoxg0KhUCgUSp0yITGjUsnou6BQKMQMCoVCoVAo9cpmjhkUCiWzEDMoFAqFQqHUKcQMCoUiFGIGhUKhUCiUOoWYQaFQhELMoFAoFAqFUqeoMQMAAsQMCoVCoVAodQoxA4CAmEGhUCgUCqVOIWYAEBAzKBQKhUKh1CnGqBszsS9N/0ArzywTfoDRIGZQKBQKhUKpU1odM0gawKg8+uijtxpy8eLFUb8bAAAwbG2PGWIZ9ZECk4+YAQAA6mg4ZiwsLMxK5ufnC7clZgDtQcwAAAB1NBwzVldXxZixurpauG2ZCEHMAIaDmAEAAOpoftDUiRMntIxx4sSJMhsSM4D2IGYAAIA6mo8Zt2/fnpubizLG3Nzc7du3y2xYOWY4lhEw7avBvyzHtU3/hb9S8M94AYAcxAwAAFDHQKaAnzlzJooZp0+fLrlV1ZjhWHp0cCzDMEzbjZe4tumv5NomOQMoRswox7Wn1I+acRddtBn+52R6132cW8fiGhIAtM5AYsbGxsaRI0f8royNjY2SW9UYNOX/fYqChRg8+AsE9KFmzLiYrc8DWbGMjmF0DWOm4FfYmTGMbliKVs6tqPzHhWOZowgZjmUMaL/J9/72Tz6+/8BvfOvbv/Gtb3948Xo/9Vy/f/+pxfoH4NpmqTfKJzwAtNGgbmh74cKF2dnZl19+ufwmlXsz7ODPUPSXJv0nJ+rN8FzHmaBLj8Cg1I8ZYrXVejYcq1OUHPw00htqo39EIUPor22y6ujD8/r9+2f3vx38Y/H8T67Hy6tFiH4PwPPKBg1iBgC00QCfm7G42N9foqo3tI1mXfh95hmd/uHi0TQLgHEznjGjTidGv8peae9TcYvZtU1zamogO9djhhQn3v7Jx4cYM0qd5vg6EgCgRXg8HwBBK2KGOA7KXTKDYVRR30U0sCpnxJRjGaZp6hchUveGCO8h4SX+aQlD/xMN4mQ9RTeiSF0U6ev6h2P5Vfvb6PtayNi7dISGabvhS6kr+O2ffHz/gQ8nQsX1+/cf+I1vfTtceP1+f4XEmuFCZZMP7z91/2KyKnVEVry8wpBXx+L6EQC0UotiBoD2aCRmpGdl9BMz1mzT76BQeyqSC82lsHVZ2Jvhz2fw26zpAZZqW1Zr1zpW3DTXlqc3UV+kb0SRs9PygoChXOVP70tckrH3RHeBeEiJ0VOpXo7r9+8/8OEnfnJd30Rf5/7r6vK39z8RZRJ1zUoz6+jNAIBWImYAELSgNyNKDmqEyOq4KBMzooChtFzjHoacmCGmguRoHr0eoXEs3VVbu31FCWqXSLBduaZ56p36uSe5alabXg0D6QiRHkOVtU68/Pr5Wb8r4/5EQKk0aIq5GQDQSsQMAIIWxAy/46JnO/4oKa03Q1MtZpTszchIDvEU8PwKxWo96fYVJcR3mYpeldpXxjvN6vTwPO/t/eejWd+nlP6KMCpcvy51RyTX0f8p5I3U22MKOABMCGIGAEH952akE0Xf878TczPCvot4bkY3HDRVcm6G1JsRT49Qn++pdkpE/9SmbXiJ5/Co9dw5tV3vIdFWCe57l7x9hXqcmWcknkgRvNy6VeiNEfauvVNXfwPC3hcXg7kTqT6H6/fvP/DhxeupqRrxV7X5G+E/42kbUeUfzhs0VfJmXoO7wy8AoDpiBgBBI4/nU3PFhD6kr/xNbdWmcEuuvqcPfmiP51Pne1y/f/+pk+Lj+Uo/TZXH8wFACxEzAAiaegp4/zO/J5Y6q2LULeL+54Q0LZqbkeoqAQBMCGIGAEFTMeNW9jwNAAAwwSYkZjzX+4JWrp87NuqDAsYYMQMAANQxsTGDpAHU0ZKY8dprrzX4pgAAwNBMcswQy6iPFBgPxAwAAFBHi2LGwsLCrGR+fr5wW2LGAKRv34lNhJgBAADqaFHMWF1dFWPG6upq4bZlIgQxo38tue0mRoCYAQAA6mhRzPA878SJE1rGOHHiRJkNowix8trbnaPnO0fPr7z2dtY6KI2YsXkRMwAAQB3tihm3b9+em5uLMsbc3Nzt27fLbBhFiM7R81+a/sGXpn/QOXo+a52E6Fb26iOh4jvKO5Zhmmb+re4z1tHrMQzDsrRnSKk30g+f5mvarvqo3/QBJmuWxQ/8jR9s7O893ixZczhEKlgaPQJZPQb5BIj1KPuS946WI2YAAIA62hUzPM87c+ZMFDNOnz5dcqt0zHjgSJmY4dqm3ziOHjfr2qZpu8H/Xw0e3Ou3trMu7YvrhPXEz9l1rLghHq2TaM3HL6Kt019KHmFGmz19qOHe82p2LD0H+F9ybTMnHsj1pPalLUHbTXTMcO2pTf5zmHkGeJw2AKAprYsZGxsbR44c8bsyNjY2Sm4VD5paffuBI+e7R3+8slpm0JTYHI8bzQueGh5yYkZ6nbg7wRBa4UE9YleKvqe4xyOzHon2lF9pq8ya1Ur8jprcZkfxEZY8ZrRIzZhxMVtfh1EiZqxYRscwZvSfK2fGMLphSXw1iv6DEf3uN/6jnnVXhqJfK9czDc8wPMPwEh8swmngNxQA0JjWxQzP8y5cuDA7O/vyyy+X36TqFPCoN8NzHccNlmi9GdViRtRToa0mvtBWU7sUKvZm2MFX+uonye4DyWt7ZNeT3he9GeOjfswQqx1AzBD52aMn/LQNOGTEu2mmva7Vk/Whkbcve8oLrzZ4huHlBg1iBgCgMW2MGZ7nLS4u9rV+9Rvahlce4z+3+pwKsaci/Yc/FUWia/zx7Aj/SmR8SVLp8khcZEz8nVf7RfyD0udmpFsGypyP4CtxLfGqas13Tm3Xvx4fsx3OzVgQWyHJI7wq7EvaO9ptImJGqotjeEm3ofZ6fCUkp1p1ofrb6P/OepYSLdTXwsnQdwcAQHUtjRn9Gs/nZviTOqLXYYYZSCtomBcpc4aiYWyMSczw44Q2LCpamB4xJQ9IzL4LgnafhuTVgYK7MCR/5vu+J4Sf6tPhP303hdK/X45n2jkH6VjcpAEA0JwJiRljSm1UTC04A7sV0+AGi5fZ1zD3jsY0EjPSszKGNTcjqzdDu/BfeBeE7Ps0FNBWq3ZPiHQ96a1KH5LrmVb+QdKbAQBoEjEDgGBMejO8PmNGcpxQ8V0QpDtK6/dXEAnxwJD3lXdPiOy5GVkxQx80FY5b9AzT049XGEFGxyMAoDHEDACCCY0Z6rDEkndB0Jek7q8gSvdmVL4nhN974VS+aZtre4YVv2YKOABgOIgZAAT1n5uRThQVHqBRem6GOgcjZ26Gl2jxF9wFQVslGtqkdRXkdFwYwhyPPu8JESxOfD2xVWE2sMK72RqG2qchTgNTJ4wBAFBLHDMuAUCokcfzqbmi2kP6BvN4vvI3WhDv0zAgw9xXunclPgimUQEAGkHMACBo6ing1WZ+RwYTM/qg3qdh0K3vYe4LAIBBI2bEVl7+kbu49+oT91/73h9f+94fuzO73MXeyss/GvVxASPQVMy4lT1Po4yRxwwAAFANMSNw9aUnr03f94vjf37rzDfeeemb77z0zVtnvvGL439+7Xt/fPWlJ0d9dMCwETMAAEAdxIxLly5duvriE9em/+itF75268Wva+WtF752bfqPrr74xKiPERiqMYoZRBEAAFqImHFp5eUfXj089dbSV2+d/iuxvLX01auHp1Ze/uGojxQYHmIGAACog5hxyX32odfm77+19FW/fO8bfzj1B7937+c++b1v/GG08LX5+91n/lu0yfLyvm3Gll3Ovm1bdjnL+7YZ2/YtL5ff4/Lyvm2GYYRb+f/wFzT71sLj7OPYAB8xAwAA1EHMuHTle3/y1nP/5e3nO28/3zn/vfv/5POfevP5zpvPd/7k8586/737/eVvPfdfXvnuH6lb7dtmbNvn7NpibNu2rUI8WA7DibNry7Z9QQzYt2uX009cyaozXrJvm2EYW3Y5levEpkXMAAAAdRAzLl05+Lm3n/uKX77xZzuOPGT5r5/a8x++8Wc7oi+98u171K2cXVu27Nrl90NUaMf7kaD3Uz9lNNPbsOzs2pKMGc6uLVs+/ektW2qlF2xOxAwAAFAHMePSKwc++9bJP/PLX//nzx596F7/tfOw9bX74y9d+fbn1K2CFnwyZiw7u7YEC5bjkVHBwiAALCtjpHo/7YkDruR6whe9n/b8F9u2KdXG9cYVhl0uiXq2bYuq1pcM/FxjfBAzAABAHcSMS68c+uKbx//TW8/ufOvZnSd69/7HL/wb//V//MK/OdG713/95vH/9MpjX1S3CsYjbdnit+svXbq0vBw26KOGfTRoKWz3K1/zezOEmJFRz7Z9+gv/VTxQShs0FW3v/1+4QjhUSzlCdckQTjjGAjFjAFx7yn/Mt2N1DKNrGF3D6GzaB/G57tqoDwHjx7V7htHzf48Gt0nlrcrXk/4QiD4fgMlBzLh0xfnajb/7/JvH/9Qvf73z9+/d8bHPf/Zjf73z96OFN/7u81cW/krdyk8Q23bt2hLOsc4IA8nJEskviYOmcurJ34UeM4IuESPqvChZD3Bps8YMx+rv8duO1cdDux3L9BsR7pJpdA2zZxpdw1rx4gZHz3aj1yOOH0obqGeancrHo78dZyastmuYSwNtUzlWxzA6pt1MmFFOSMMH7x9nnW934c+MfvDWSvWdjVTQZL+aekdGx1pIL1Rb8P1lBnV91+6Ftc0EP8XiL+xfzCR3PeNItYWL9A+BYEXTJGlgohAzLq1ceOnytz61Nv+Hv3L+WCxr82LMQeoAACAASURBVH94+VufWrnwkrrVsrNri7Fl1z41ZmT2QsRbqesEvQifju4E5U8Bz+vNCLfKjxnL+/YF/Rzx5nEXyr7ljJrpzYBic8aMEtINgXJNgyhkeK7dM8wlx+6pTVXH6iitlgauodal5oGax+PMBK09d8mM2v3OTINvU2qpr1iDygNrdo3cNSjRSc76+hAPvn5wyq428TOTsaRrmEtu6gesfNJIVBv/0K5Yyo+T/gt7Nfi9tv1/Oktm7t7FDwH/CwQNTBRixqVLly5d+f53ruz73bVj9/5q3tLK2rF7r+z73Svf/462SdhAFzsQ1LkQickSl6K5Gf5wq6BDI14vXY+/JFzgb/Wbvxlvkbg3brDTbfuivasvw0kd8b6Ug4z3DlwiZmRxrFTXRZkukMLGQ3HMcNeGevncv9raYMxY8Ftag2jgSk3n+PgbDzPEjHwD2YX4Q5sZM4yebQs5tsxPvraO+kOr7i7rFzbnMkG59EXOwGQhZgSuPH/wcu8TN767/Y2jn//VU1/81VNffOPo5298d/vl3ieufP9vRn10zcgZxDXCo0I7TU7McG3TMAzTNA3DMEzbjZbYrj/myf+jHi1MbDU1ZaYWqqt5yWaBuJXnlYgicqtF7FJQA4Ay+iU5YsRvzfgNvm6VsUP+RVyzl2qp63VGDTszXB6+07A/ITGmRWxmZdWZMySmY5pP5k10iU9dRp3mktvnUKjEyvGZF0+y+N6FwTzp8U7Z57PEjgpiRurgUz9LmXvPXFOvM2PeUfkfm6yDF1bIjhn+j27WjIj80WWJr6pLUq/7ixmFew/X6W/kJtBqxIzYzy68dOVo92ePfuZnD//OyiMfW/n2Pa8c/YufJcdKja9070pWfwtwaZJihhd3QcSJwA8Y+d0SjhVkBXV5ug1QZquKMSNulLhLZqIZ17Ecz7E6cXsxvJjtWJ2orRxdiK00EEttvyYHe8QXxXuJhn6yjZ7ce17MEOvUN1faeaa9plWVrtnf3Jx60tRbwOLB6wtFagM6auiLJ1k8eHGhePAlzmfejrIPXuwN0H+WxL2n13SsjmHMWMp/nex9iQcv7qj/40/HjBnbTsfjzEryd9RgzCg5loyYgYlCzAAgmKSYEaWL9AtxtaytxA3LbFVj0FR8dVbpjojbu8Jl6fS2xZe6JX7M8C82a3XKrf+8JmzuoCmxzpyYkd1SX3OD44yunXdTM3fL1pkWrGD7p1qbDZzuo6gZM8TzWWpHeQcvn/x0d0TxmiViRvTtKDj4kjJChRAznODXoYG5GU0Nmiq9dwZNYbIQMwAIJilmhJcHHcuIOzOkZpTeLRE2LlKdGa7juH1s5f87t/GQeaE9Htuj3qxJvAKtN2LqzYUIjkSLGcFdd6wlqUNA2Ltpr8Qj9TOmgIt1CpsXx4wVK1gYZKSwFahtXqc3I967/0bEkxwefKLXRXxH4tnLOZ/FJ7no4JNLs36WitcsETOib4d88P3GDC/VWM+MGZ7+3ax+p6m8KeDCj032b2K5vZMyMGGIGQAEExQzohkVfrs/a4KFulD9pzZpw7EMwzDtq0q1/prfvJqzlV9nXotKmnGh3EkzvnyenJwdXrJNzOKIuj7Ui/pCj0Q+pR1ZZm5GusNEHXbVVTo09HFH8qwD/W0+sHWrekVc22NYgzbjwpqxlL0nrqkLcwny7vSaeJtBh4Y2AUY9ydKUCf0daYekzdZIn8/CHWX2WWXWqR/SI1Pb+1pTjhnat0M4+Ks5b7OAa/eSx5nx/VXOUq3nZlwVbmirn5DceSl97b3gagQwdoziVQBsPhMUM9oz1nlwbYjCIUzwMq405wymb2iPfC9QSsGVCGAcETMACCYkZvT1/Lxxpl1sHtvnrw2OeKW58jX1ynscmfWNfzhx+en1jX9o+WsAk4SYAUAwITEDgOetb/zDmVe//8a7ay3/L0kDmDATEjOe631BK9fPHRv1QQFjjJgBTIyf/Pxce/orcl7/5OfnRnF6AAzKxMYMkgZQBzEDAADU0a6Ycfz48Vu3blXYUIwZYmn8mIGJRMwAAAB1tCtmzM7Ozs7OvvDCCxsbG31tWClmBDemdIMbU1oL8XTReM5oYlHimb45t4xJ1hPXbNpu9KWtW1P7AtqDmAEAAOpoY8yYnZ2dm5tbXl4uv2GZngo5ZhiWE7/w1Htfuo5zNXgKV+qRXFFCyZN+bJe/ifD8LuVhX0ArEDMAAEAdLY0Zvvn5+dXV1TIbRhFi5bW3O0fPd46eX3nt7ax1Qo5lmKZp2o5tmqaZaPpnPdg34NqmOTVV9KxOoRLLtl09ZrTnpv5AjJgBAADqaHXM8F2+fLlwwyhCdI6e/9L0D740/YPO0fNZ64Qcy7Asy7Asy7RtpemfHsakJwHHMizHtYOcoQ+RcuStHMuwHMe2XSd3X0ArEDMAAEAdrY4ZR48evXbtWpkN0zHjgSOlYobjWIbh/1/53owgYEQ5I4NYies4Nr0ZaD9iRou59pT40ZO1HACAEWhvzDh37twHH3xQcsN40NTq2w8cOd89+uOV1TKDpizHtc1gZrY+X0JfM/qXP2Pcl5cz5KziOlNm3r6AVpicmKH+wrb7F67kJ4JjxZ87tukltii6+AEAwNC0MWacOnVqfX29rw2rTgG3nOBPthAzHDv6a5386x/fZarwflNSl4hrEzPQfpMSMxK/pMovdRkj/w2VQoMSMizDMwzPKd4GAIARaFfMmJ+ff/311ytsWPWGtpbjubbt+K/FG9qmZlAE/7ScxMukrBva+iu7tqktAVpngmJG1V+x+IrAiDhW6vNBDxFWKmaQMwAALdGumFEZj+cDmjUpMSMaNKXemyEc8Ji+aBCPhJQuBARVRfd+ME2z3NUC9ZKEa5vq3v3K/JrVeBCN9UpkBj01CTFj9J0wAAB43sTEDADNmpyYEVBHTykjGONQUTQpy1NuLmfaV4MKS9zIwbXN9N4My7LyE4R4UMQMAMDYIGYAEExczPASD8S0zVQ4UDsX9PWVFdSRkFEdeS178Z4R6Xld6bFO0ugnBk0BAMYGMQOAYFJihj/5yvM8fTa4lcgU0eRwNTCErx3H8asy0zd1KI4Z6a+5tmlYlpX/dB7l5nSOm1iqhoh0zCBlAABagpgBQDApMSPZB5EcAiXfplp/FKeyRJkvcVWOGVLeiOu2FuJJGOmZGfo8jFQW0g/cv9NU8mZTyRQCAMDoEDMACCYmZmQY6+Z41sFr/S0AAIwSMQOAYHJjRnoOBgAAaB4xA4BgcmMGAAAYhnbFjO+8ePWTvcXf3XtSLR/bc8L/0qf3PfedF6+O+hiBTYGYAQAA6mhXzPjMgaXP/e1Lf/Dds2r5zMHTnudte/T7n/3Omc8cWBr1MQKbAjEDAADU0a6YMf3j/zk1c/6Lsz9Wy47DL3me99nHznz+iXOffezMqI8R2BTGKGYAAIAWalfM0PzB4z/6d0+c3/7Yi57nbX/sxX/3xPnPfOdFfSX12VfVb7LizwpN38myfs05e8ypNNo5943BaBAzAABAHe2KGW9cfvbMX37kzF9+5I3Lz3qe9/vfefFz0z/69MHTnud9+uDp6LUi+cAtu87NY7R2v/9MLPkBWX1W1dQhAcNDzAAAAHW0K2ac//pHlv/rP1r+r//o/Nc/4nneJw8sffa7Zz95YEl7rWiwIS5WVal+1zaJGRhzxAwAAFBHu2LG5Yf+yc+/+Y9//s1/fPmhj3ie94n9z2977KVP7H9ee50QDJqKmuPB8CcreW/8aGiV5cTrOIltw46LYM2MZ/oGX1a6UKKxVcGyMuOdtDFajmWYppnejJiBkSFmAACAOtoVM267z6zu/yer3/qnt91n3vyH/31379TvHTzz6f/xfc/z7n7kud87eObuR57L2FQdPeVYRpgY4qa/FhscS39Cl/8l1zbVxfpIqrDG6Cm8lftA1HX8g/eXaMuJGRiNpmKGnzEqJ42imOFYzGACAKCV2hUzIr98570v/93Zu/Y+94n/sfTl2fOe5/3Owyd/99EXfufhk9kbiVkibIDEM8UzuiniLgV1ubaaOi1c6z9RI0uFmBEFDGIGWqGRmKGmi2pJo0RvBr8mAAC0UbtiRu/E8m/+xZzZnf2XXz36rx48fvcjp+5+5NRL137ped5vP3Ti4/u//9sPnUhu4dp2sksgeGU5XmFvRjpmGJajfSXdm6FvFU47l+KB4+SOmyJmoL3qx4x0rqiQNIgZAACMqXbFjN/62lP/6sGn/7X9zG8/9OzWhxfv2vvcwfCx37/93569u3fqd/77s9omUv9CvCyRFyJ3Tm2XeyQMw7DscG7GgjjLIuoVCQKMcj/d9O1wgyVypEl1rcT/XUgcLoNCMAI1Y0ZWoug3aZSLGWade8wBAIBBaFfMeHTp8sceee6uvc99cv/zu2bPv3jtl9GXDrzwyif3nTrwwislquHqJlDX+MQMP+vzKw8AQLu0K2Y0gQfbAQ1oJGZcTPLozQAAYNOYvJgBoAHj05tB7yUAAG1EzAAgIGYAAIA6iBkABGMTM1zbJGYAANA+xAwAgvoxI0tfh8Hj+QAAGFPEDACCpp4CntOzUUaZO00BAIAWImYAEBAzAABAHQOPGTd6tl8u/vtPDXpfAJpCzAAAAHUQMwAIiBkAAKCOhmPGgQMHDhw48JWvfCV6QcwAxhExAwAA1CHEjIWFhVnJ/Px8YXXpmPHL2Wm/uF++N2Oj6LndI3l4d5mnhmeto96w31+nqaPnUQAYMWIGAACoQ4gZq6urYsxYXV0trC6/N8M+/b/8suPr301uF7eqXcdxM6sfXOO7sOYyuyYbYHIQMwAAQB3yoKkTJ05oGePEiRNlqnvqqaeeeuqpRx55JHqhxozpi7/wy58efja5nd9AL2qmD/A5XMQMIIGYAQAA6pBjxu3bt+fm5qKMMTc3d/v27TLV1ejNUEclhY/ccm1TW6gNTApWMG3Xi4cthVsthEus5BO8gq8nKqoQM9KjpBwr2Je/VD8eR9i7uI40/irxThOnQ1kGNIaYAQAA6sicAn7mzJkoZpw+fbpkdfUGTalNedc2/Ta73o5X/unaZhgwgqa2Y+nNbseKG/RRI157ka45TVxBWxjuKzou+XjSh5GOCmXeKT0nGCBiBobOtafsq55rT3HpBAAmQWbM2NjYOHLkiN+VsbGxUbK6/CngZeZmxFzb1FvfQrM+OXNc7HNIfSnqUGg+ZuQkGfV95R9zmXcaLaQvAwMxWTFjxTI6htE1jK5hzAwqn8e/pq25BBB/2tQ5KPn+FtXfbsaW0UUU5UoNAGCM5d3Q9sKFC7Ozsy+//HL56upPAXds/69Lbm+G4zjBOjm3ftKWNNmbER5kRsxI9GaUP56cNyK80+AQ6NbAYExWzPD5YWNAMcOxWpf5E4cUfWRUrSrxOaN+JPVZc8aJikNGUH/bziYAoF8Fz81YXFzsq7pKU8DTN7QNr9M7iVkN8cqJoVXB/ISrwuQNdYmjT5rw3Tm1Xd273GRPHmHiIBO7s830vItUnfLexb6L9CyUqPdCuUpJysAAEDP6lB/4tc+Q4fzSNngNovDCR+WqogqTsYKcAQDjb6iP58vuzQDQLuMQM+KhUKa95L827TXP81y7Fw6R6ipN2nIxI32PCOlWE8kbS4jDGvuljuzqGkbPnFoK2tnukhl8qWe7+pqm2ct8U652pUY9+LhPodx9KYJ5Z4ZhGMbWreLbrH6icjp+AQDjipgBQDAOMSNqf8847pJpdPyMocSJFcvo9BkzottmRxfsw+vqyVs7JG8s4TXULPaPsGe76qGu2Wb8dgxzyfU8x1IDSWH/jDpOSbxTReF9KfwvRRPmcnskqpwoYgYATKCGYwaAyTAeMSNscJtTT5qJ1nZ8vb/PmDGg+V0lB00lAlJ4qFovx4yT7K4pNwws9+CL70vhWIZpmtEK4qCpOieKQVMAMIGIGQAE4xIz4gFF1kq0zLHq92Z4ruOE86DSF+kr3EaiDDFmRL0ZCmemRMxwbVs5Ou3gC3oz0jEjnJIWbD2Vmlxe70QxBRwAJg4xA4BgbGJG2KGRnKGsXuzvGnc+uT3RIZDbAxB2PMTNXGHKgaHeWGIh0VnR1NwM5TjjuRldf9BUsMTsmbnBSTos6W6yBfeliN+yHXR7WAvSfcHrnajEzassQgYAjD9iBgDBGMUM9KPNcx4cy7Sv1rqNFQCgRYgZAATEjEmUcZdtAAAGgJgBQEDMAAAAdbQoZjzX+4JWrp87NuqDAjYpYgYAAKij1TGDpAGMCjEDAADU0XzMOH78+K1btypsKMYMsWTXod5lcRD6rX9t6cmltVJrriyVXHECDe69T+pZLf9zVR0xAwAA1NF8zJidnZ2dnX3hhRc2Njb62rB2zMi/03rB3UsST8/Kr6b0nRZXZnp+Y3BlptPtdrvdbmdmJXtl9WsrM51gk263m73R0CSOR3kXKzPxP4J1OjlvMrN2bZPk7vqvMLvmqH5hj53OzM/CF6mt1pZ6eYcRfYu73W6nl5UB1pZ6ndwVpHrWlnrpE7u21MuupBHEDAAAUMegYsbs7Ozc3Nzy8nL5DYt6KvLXiZ8+lfHV/JurKM+x8lw3P0bEz+/KFYYMtX2ad3V9bWkp0YwNm8JrS70a7ezmxE3ztZWV7AZuugVfgv7ea1RVqmZRtLvMEJJdk7qbtbXskBGewazeiHQ9yrc/eVyDDhrEDAAAUMcAY4Zvfn5+dXW1zIY1YkaZO8GXvlt8+EjberVFjcCsq+DptqzWIm5nzChs+lfLBmIaaCJm9JEzcmJGPweTGSUTeXOmMCIE9Wj9RcPLGcQMAABQx8Bjhu/y5cuFG5aJGa/+8MhPjz+cXFYyP5RcTe3WqFNhfptVlrzGHQ8cmlnx4gvqa0s99cp68E+lvRmOsel2uw88cODb0lZrS71kzb1eT91X1jvShu6I1/hT7zd1hPEQssRRp6/vJ6pKHXOn2+32ltb811GkS7+LVM2pw16ZSY7OCvbr19bp7/uYk2qyA0NePXHKXFvqJc92IzEsEzEDAADUMfCYcfTo0WvXrpXZUIwZ9827Wnn1h0dSmzbXm1GqK6NMbVViRvJKeMbQncQF7PCCdnxhO7pkrh6AtlXi2H7mrcx0ektrhZ0V4griQSYb+cGRqRNV5O6dVC+A2C5PdfLE7z3rnOfXrBxhYvO1pZ562sp9H/NGxfUTM5I/CH4K6i0tFZ38JhEz0ALN3tVj0PcIAQAkDDZmnDt37oMPPii5oRgztu5Z1Mp/+LsLB8/+fWprxyqYmV0qZjhWuR6P3NnknueVGDQlU6YsF7bgPbFhnbqiLzVGlVnFP0vkh8KYUbgwnUM6yb4CL+xP0Ef8SBPBk2OEkt0pajzKWqdEzelzGHTvVOg6yJhxHh1c2UFTcj3aKCkGTfVhxTI6htE1jK5hzEzIA7Bd24zuWlH9od7yvLX4lhgjfVx44cd6mSoS76Sfe3gAAGoaVMw4derU+vp6XxuW7M145/3/+5WFnwnbF/z9aKrHo/SfqXgKeDxop/gGq/GgmzIxI92b0Xc4GXDMSKes6BwIw6vkSfCpY04MGEuMxsroQcqrWTmHSv/PzIpWTZmYUbBOfC4KU4aUcIabMiYsZvj8sDEZMSNx04uyvbCZVSU+99TrKH3WXHoKXJmtmgkZeh0EDQAYmuZjxvz8/Ouvv15hw/SNa1/94ZH7nVcSMeOpqxm9GZ7n5fwBia5oxX89pT9shX8j+/oLFbUqg9uYJucMZDVJ/RaxPBFCuLtrzsyH8PaswlbhOJxut/vAI08eLo4ZYj3awoy70EY9DPGwrqzb+0bvPTksKnXM0dvVD1daR6lZPXK9Zr8Dw5/N4h//Ujg3QzqNZUKXGAsLbmib8bakk88Nbfs2oJiRuBv2sK7/V2vQl6mqTG9thpJ34Su1VSNxQDpL5AwAGJZWPwX8p8cfPvDcWTVmHFn51agPsy9V2oL9jbJK7zFuww527P4g+O89SkoNHn3irLbl5l2V1fsZKWccYkY8FMq0l/zXpr3meZ5r98IhUl2lmVkqZsShIWqMRsOTqjfs1VFbXcPomVNLYeVLZvClnu3qa5pmL/OAg6NSL50YhmFZVs6xh0OkEtsGbfFwza1bxfcZfNmvWN2XdgDJ05TeynI8fe/iyU0mhPS3oI/j0SpvMKEBAPK0KGaIfv3B/3vy0htffubVLz/z6pOX3vj1B/9v1EfUdtHcjGab6RMh6pQYcEdAWYn+H6HTaaTGIWZEbfQZx10yjY6fMZQ4sWIZnT5jRroNGl1sr3GZP957z3bVw1izzfhQDXPJ9TzHUgNJYd+LOi7IsYwwMQTLorejvtCeQOp/ybVNf7HYCg9rTNQcRZesXuJo7Wj8k2ubfhoobPerC9PfgmrHk7MQANC8tscMACMxHjEjbJSbU0+aiRZ53CfQb29GeBVcbbvnt0pLDppKhJ/wMLRejhkn2RVTboiXmCXCw4hniqe+FG9umma0gpimcnaR06yX+hOiOCNUrlLHNonHXOF4UhUDAAaJmAFAMC4xIx50ZMVdQY5VvTcjnPMctVDjqQOu49RonooxI+rNUA9hpkTMUJ7wE/dnhMdc0JuRbrIblqNuHd/2NTwdYu9BdrPecTISS25vRrBVvDiMA+lvQZ/HkzwCUgYADAcxA4BgbGJG2KGRHKyjdgh0jTuf3J7oNMhtvpv69ffoonyN5qnWa6EcQzw3o+sPmgqWmD0zNxRJPQXSfWjV9e6c2p713gzLDt65tZDqAVFOjDoXwv+6dktcJzE/IqrJtK9G3USONqsktVW8sf7O4m9B0fEsyHMzGrh9FQCgJGIGAMEYxQyEJm/WQbOpoObsGgBAf4gZAATEjHGTdcsmAABGg5gBQEDMAAAAdbQoZqSfm3H93LFRHxSwSREzAABAHa2OGSQNYFSIGQAAoI7mY8bx48dv3bpVYUMxZoil8WMGoCFmAACAOpqPGbOzs7Ozsy+88MLGxkZfG+bkirPTf/7jI1/76TN7X1k69OoP52ofY+NzJbVbKBZVK90zM2O99F3nc7Yo+ZgwoBgxAwAA1DGomDE7Ozs3N7e8vFx+w/yeihs9+0bPvvjvP/U/zz/VxGF6Td/8MefpVxrl4VeOlR0G0omlMMNM3u0sMTLEDAAAUMcAY4Zvfn5+dXW1zIb5MeOXs9O/nJ12v3yvffp/7fj6d5s40lHFjIKH1OYeYb/rAxURMwAAQB0Djxm+y5cvF26YjhkHDhz4yle+4v836s2YvviLPz38rLpaPFQoepBTNCopbHWnFnjpRnlyHXkAkrAv/cG7QbVhbVu35gxkKnj2VJWYYXHzfDSBmAEAAOoYeMw4evTotWvXymyYjhlPPfXUI4884v83ihmp3ox0y9u1TX9RNJNB7GrQNizTHSHuy08K2uaubRoFj68tfiJtvzHD8zzHifJQk0/PxaZDzMCwKONIh1RzevngjgEANq/Bxoxz58598MEHJTcs2ZshDZryOxTU/oVUWzyedZ09YElYJy1rX+oL0zSLuhNKxYAKMaPCmoBgsmLGimV0DKNrGF3DmCn6vSjsMxS7J7VLGBPZpziQ917Qp1tDVLNteobhGaYX7ye6QJSzBABQz6BixqlTp9bX1/vasGrMcOzgT0P0py7qzfBcx3ETX6rbmyHty7RddZ/htO7sauJ1Pc+17SbnZqjxhz+ZqGGyYobPDxuFMaNQ/GsYfsIUrNYO1Y4n63Oyofc++JDh2l54xN6UHX+doAEAg9Z8zJifn3/99dcrbKjdxPbmpefVmJE9BVy6O2x4QS3+m6Fehrtzars4X0JdR/5rk70vvwMjnolh2cGq6b+1ySuCwY7ERJHxrnI6ZIS5I0AVxIxs/u9dXzd7KFmt3FnQDPXyRvWtmn3vg2vYxzXbphcdiUWHBgAMUXufAn7z0vPi3Iz0FHAAjRuHmBEPhTLtJf+1aa95nufavXCIVFdp7ZaJGdpto4N/WlZh4E8Hg6xhmXVbsmVuepG9kbJG4nic4C0GC+O+2RIXOyq/98Rq0k04LCdxPIlLPVG3sXRpJa7ZMpSYobyuNyoVAFCsRTEjrfTcDAANG4eY4XnukuknB3fJNDp+xlDixIpldPqMGZ40TChq+KrjKjNHE2UsUW4XUStolLnpRZkN08fj2qafqHLeV7PvXRzFqr7QwkP+XT3kAyBmAMCotDpmABiV8YgZnudYHcPomlNPmon8EHd0NBEzyjRtC9us6piorJZxyUFTJW56Uep9pfYl3CGvMFGIC0u+9+QoJf0mHMK+Mm5Nnu4nYdAUAIweMQOAYFxiRtih0TWslWiZYzXbm9FIzCi+g3U5ZW56IW8YrB/c9Tp9PLm9GcFWTb/3uHujzHkWlqTOhl5zPAXc8UymgAPAEBEzAAjGJmaEHRrJVm08N8MwusadT26Pb2jbzb2trTb3QP2n/zq+zYN0tV7bKt1XkJ5F0K8yN73IGUqkbKUcz9WoT8BJzoVIbCXerLbme1cSiHyjjsQbUVaJI5a0YqJm4Ya2wtC1wd30CgA2KWIGAMEYxQyMufLte/VG3WWGimXVLPbkMCsDABpGzAAgIGaghdQbTRELAKDliBkABMQMAABQBzEDgICYAQAA6iBmABAQMwBgLLz3xuJwyqjfKMYPMQOAgJgBAGOBmIHWImYAEBAzAGAsEDPQWsQMAAJiBgCMBWIGWouYAUBAzACAsUDMQGsRMwAIiBkAMBaIGWgtYgYAATFjrLj2VMkHaQ9HdDyO1TGMrmF0DaPjP09vxTI6pr1Wrp705ul3Opz3Xn4v+WvWOdpRvfe2afYcjjvXnrKX104OK2ZM3gkcnMGdq6ya2/gRQcwAIBifmOFYec+DdixDEa+obhWtU+m50vEetm6tUo9jGYZh2m7whOsqx+BYZnN/SbLORv55lo/HXTKNrmH2TKNrWCvRVzuGMVOmKnFzz7VN7e2mlzStvzOcfTz9ChavtQAADIBJREFUfqds00ucqMG+d/9bX/np6onftcwToPx0ubZZYXe557DET+ngf1rCIxne2fAzwPr03jCUdw1j75FU9lhfm/6C0clZoVRvxpBOYPj+sk5e+GXp473CXpr/M9Hox3JmzcP9iKiCmAFAMD4xo1D8p8J1nNw/WBX+TKX/CpapJ/3Xy3IqN/IG8tes33chHo9r9wxzybF7hrmkHKG7ZIZ9E4oVy9DiR8bmw/9LWuEMu7aZPjl91mMZnmF4WiUDfu/VfgtSm4tvX1unoAGZuYfcjUod/8B+WrS9D+9sKBFi9+4fFYSHcM2qMWOYDdfoIozM/0QPzmHux7tYtfTNaurPxFBCxig+IvpGzAAgmLiYUfjnoXLM6P+qf6LZ4ViGaZqm7dimaWY3R3LqGsRfkH7fRV/Hs2abHaV7wt9uydRjRu6uh/eHNKfq5EXQgp+EKodopdoQg+/QaChmZB6SYxmWbZt5rcdMhW+13PEP6KdF/40Y3tnoKzwUrrn8o2MFczOG1W51bdOcmiraV6UfWvmb1dSficGdIL3moX9E9I2YAUAwJjFD6wEI/mlZ6YXCagXxwB/ElPfnX21lqpUn6gmqidfQjsexDMuyDMuyTNuOr6gltlLfl3ZAff+JjQ/atK9m1py+1KedsVpjq1y7Zxg95X34XRn+WI4ySaOvdOcHOf1w+z/DTvBjFWxZ5rRr3VZ91yO0Ifp+74ZhWI62r/TPdvxjYS1k9bClfpRT9YS1mOHMnOhfwcuo8uRJTtQjbJX1y5V6p+nfx6yV81ZQf0fczCPUzmrW58wwzkZyNFQ3ihDLX90dLfzC9MmcmHHk3yqb//OD/mSP9R8d/BdBtUEnSeUTKP26+V90rGit1I+lY/lnObFE/9YUfHSLv27Z36xm/kwkVhM/ajJ+JeMVpXcqHEDtj4iBI2YAEIxJzPDEBnH4aR6341OXqQo/iKO/bfmd34X1aIeRXsexDMsJ/hSmV060TYMR3Ll/dYqIB5yuucwfKnHXJY8nPRE8PWiq33eRFzNsV/sxqHaGXdv0s0i/GaNiPU20IZzUuJP0z7ayJPP8RJd/XduMlmj1pK/fZyxJnOQy9ZR5p2VWKHnGtK+Gx5F4F+lLEBnf8cGfDTE8KEumv2B0cmKGumT5q7v9NdfXju3+5/HmfvaoegJTP07qT1P6hzC5RHnfZT5zxHrSv27iN6upPxNZ1xeUkKP/Smb93uW/WWIGgPE0zjGjzOd1mXhQ5spoiQ/0+DJVdsxwbTNuCotbZb2dCt3hTvKSfWEQKr+kj+NJTQQPY4a7Vrx1f6MC1AZE7TMcfKeimlXaVhlNVaGeTE2MiJCDpVHw3sv8HpWpJzgRysbBy2TbUT+Hqa1KvdWyzaniH9LC35EynyrDOxtZfRRqL0d+b4ayZtBxIfaQVD2Bwsegmv7lN65e4Nf7M9Tdl/joFn7dChOFuLDkn4n0L7v4a5LYIFVL+p2mambQFIAxteljRrqZWGbvZY5Hee04C1HzNxgVUdTIS//B6G+uoWPr1wXFmvuJGY7jJBeXOh59IngYM5yZwj6NPv+MijGj2hku2QuRcTh91yO0IfpvQojX5jMiUDxgPXXVWX0VzJFN15P1syQOcXHCWc/i75rYXVD401UqZhSesdTviNibkf2pEvxGDO9s5A6FKtub8S++ekz9ktKbEVdY9QRKH4N+yzrRjWNpnyTKeLOg0yBVc/p7If54Z/dmaN8s/bRX/TMR/6CWTOz6EumdajV7XjMfEYNFzAAgGJOYEV1Mij6+o3/6r8WbzGZtlb4Apl5IK7iau5BVj7pYa21YTlita9tOYhfJra4q/079WctJRGITU6tIq1l8F9oZS54B4cJcmYSWmggezALvFj1VI93SzBmxEP0z1ZvR5xkOv7+m7eTPqcj5m55Tj9DK8W8jk7yTTIX3Lr0n/Wc7unJqRocUjjmPl0SVJVqG0gk0Upd2Uyc9GCioX7dOXgKWTnHJn64c+WfMk35H5PkS0s+A+ns9vLNRZm6GYXSNOx7ellitm0wU4cJ/Ox3Ej3huRlcZNFXpBEofg/qW0o+Tci6thbyPL6UmoR7x1zb9zar/ZyL3+2wYxp1T26UfHmWVONVLKyZqrvQRMWzEDACCMYkZm0f+Zdo6f0hKXQDuu84Sx+PaPcPo9rlv8VJlI8c/uDNcpp4y9Q/uvQ9UtVOXs1Wd78XIz9hAzsZQH883Bj9yLVH+e+1YicRfeIazam7jRwQxA4CAmNEmOVdP0+ukrrfVrXkzGO15GOCghu+PzvPP7/64YRjGP7vv8PP1t0q+rTI/7dV+IwZ1xgZ5NrzhZAzlTlNomDoPZcI+i4kZAATEDAAYC8QMtBYxA4CAmAEAY4GYgdYiZgAQEDMAAEAdxAwAAmIGAACog5gBQEDMAAAAdRAzAAiIGQAAoA5iBgABMQMAANRBzAAgIGYAAIA6iBkABMSMPrn2lH3Vc+2pAT1mDQCAMUPMACAgZvTFscKnOA/wgc4AAIwTYgYAweaLGY5lWE7VTdVkQdAAAMAjZgAQbbqY4dpmxZiRihXkDAAAiBkAROMSMxzLCEQte9c2/SXZqSG1VbRA2Saox1/DX8GyrMSuwsq0PdXoGAEAYFIQMwAIxiRmpBv0Ua+Ea5tZbX0xBmgLwy6JuGvCsfwUondWEDMAABAQMwAIxiRmeGE/Q9TwL9nEd1LdEtqG0T9zXvgYNAUAgICYAUAwJjHDsYP2fNT0j+dYuI6T0dZPb6W8dpywnnRvRthNoqUIpoADAJBCzAAgGJOYEc3DMBJ5ITFZQx5YlZ6LEWwZLUnMzfDUCR2p7hJ1gFYycwAAsFkRMwAIxiRmDFP+cCzHMu2reRNCAADYXIgZAATEjCTpVlQAACAbMQOAgJgBAADqIGYAEBAzAABAHcQMAAJiBgAAqIOYAUBAzAAAAHUQMwAIiBkAAKAOYgYAATEDAADUQcwAICBmAACAOogZAATEDAAAUAcxA4CAmAEAAOogZgAQEDMAAEAdxAwAAmIGAACog5gBQEDMAAAAdRAzAAiIGQAAoA5iBgABMQMAANRBzAAgIGYAAIA6iBkABMQMAABQBzEDgICYAQAA6iBmABAQMwAAQB3EDAACYgYAAKiDmAFAQMwAAAB1EDMACIgZAACgDmIGAAExAwAA1EHMACBoScwAAABjipgBQEDMAAAAdRAzAAiIGQAAoA5iBgABMQMAANRBzAAgIGYAAIA6iBkABE3FDD9jVEoajmUYhuU0/tYAAMAQEDMACBqJGWq6qJo0yBkAAIwlYgYAQf2Ykc4V/ScNYgYAAOOKmAFAUDNmZCWKPpOGYxmm7TbyhgAAwFARMwAI2hEzPNc2mZ8BAMA4ImYAEDQSMy4mefRmAACwaRAzAAja0ZvB3AwAAMYVMQOAgJgBAADqIGYAELQiZri2ScwAAGA8ETMACOrHjCylD4HH8wEAMMaIGQAETT0FPKdnAwAATDBiBgABMQMAANRBzAAgIGYAAIA6iBkABMQMAABQBzEDgICYAQAA6iBmABAQMwAAQB3EDAACYgYAAKiDmAFAQMwAAAB1EDMACIgZAACgDmIGAAExAwAA1EHMACAgZgAAgDqIGQAExAwAAFAHMQOAgJgBAADqIGYAEBAzAABAHcQMAAJiBgAAqIOYAUBAzAAAAHUQMwAIiBkAAKAOYgYAATEDAADUQcwAICBmAACAOogZAATEDAAAUAcxA4CAmAEAAOogZgAQEDMAAEAdxAwAAmIGAACog5gBQEDMAAAAdRAzAAiIGQAAoA5iBgABMQMAANRBzAAgIGYAAIA6iBkABMQMAABQBzEDgKCpmOFnjFTScCzDMCxnJG8NAAAMATEDgKCRmKGmCylpkDMAAJhYxAwAgvoxIz1WKrmEmAEAwCQjZgAQ1IwZWfMxlOWOZZi2O7Q3BAAAhoqYAUAw+JjhubbJ/AwAACYVMQOAoJGYcTHJozcDAIBNg5gBQDCUQVN0ZQAAMLGIGQAExAwAAFAHMQOAYOAxw7VNYgYAAJOLmAFAUD9mZPE8j8fzAQAw8YgZAARNPQU8p2cDAABMMGIGAAExAwAA1EHMACAgZgAAgDqIGQAExAwAAFAHMQOAgJgBAADqIGYAEBAzAABAHcQMAAJiBgAAqIOYAUBAzAAAAHUQMwAIiBkAAKAOYgYAATEDAADUQcwAICBmAACAOogZAATEDAAAUAcxA4CAmAEAAOogZgAQEDMAAEAdxAwAAmIGAACow/AMw/8fAESIGQAAoI7/D6aVoPnB0miOAAAAAElFTkSuQmCC" alt="" />

2、使用WinSCP上传SparkTest_jar到soy2节点的/usr/local/soft/下,准备运行Spark的WordCount程序。

3、进入Spark安装目录,提交Spark作业,我这里使用的是Spark on YARN-cluster模式
[root@soy2 spark-1.4.1-bin-hadoop2.6]# cd /usr/local/installs/spark-1.4.1-bin-hadoop2.6
[root@soy2 spark-1.4.1-bin-hadoop2.6]# bin/spark-submit --class com.mengyao.spark.app.WordCountApp --master yarn-cluster --num-executors 1 --driver-memory 512m --executor-cores 1 /usr/local/soft/SparkTest_jar.jar hdfs://soy1:9000/mapreduces/word.txt hdfs://soy1:9000/spark1
15/11/01 09:30:16 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
15/11/01 09:30:17 INFO yarn.Client: Requesting a new application from cluster with 3 NodeManagers
15/11/01 09:30:17 INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster (8192 MB per container)
15/11/01 09:30:17 INFO yarn.Client: Will allocate AM container, with 896 MB memory including 384 MB overhead
15/11/01 09:30:17 INFO yarn.Client: Setting up container launch context for our AM
15/11/01 09:30:17 INFO yarn.Client: Preparing resources for our AM container
15/11/01 09:30:18 INFO yarn.Client: Uploading resource file:/usr/local/installs/spark-1.4.1-bin-hadoop2.6/lib/spark-assembly-1.4.1-hadoop2.6.0.jar -> hdfs://ns1/user/root/.sparkStaging/application_1446335733827_0001/spark-assembly-1.4.1-hadoop2.6.0.jar
15/11/01 09:30:27 INFO yarn.Client: Uploading resource file:/usr/local/soft/SparkTest_jar.jar -> hdfs://ns1/user/root/.sparkStaging/application_1446335733827_0001/SparkTest_jar.jar
15/11/01 09:30:37 INFO yarn.Client: Uploading resource file:/tmp/spark-d3853661-1371-4c4f-86aa-18a432b6045b/__hadoop_conf__694912348735860853.zip -> hdfs://ns1/user/root/.sparkStaging/application_1446335733827_0001/__hadoop_conf__694912348735860853.zip
15/11/01 09:30:37 INFO yarn.Client: Setting up the launch environment for our AM container
15/11/01 09:30:37 INFO spark.SecurityManager: Changing view acls to: root
15/11/01 09:30:37 INFO spark.SecurityManager: Changing modify acls to: root
15/11/01 09:30:37 INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root)
15/11/01 09:30:38 INFO yarn.Client: Submitting application 1 to ResourceManager
15/11/01 09:30:38 INFO impl.YarnClientImpl: Submitted application application_1446335733827_0001
15/11/01 09:30:39 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:39 INFO yarn.Client:
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: N/A
     ApplicationMaster RPC port: -1
     queue: default
     start time: 1446341438409
     final status: UNDEFINED
     tracking URL: http://soy3:8088/proxy/application_1446335733827_0001/
     user: root
15/11/01 09:30:40 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:41 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:42 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:43 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:44 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:45 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:46 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:47 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:48 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:49 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:50 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:51 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:52 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:53 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:54 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:55 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:56 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:57 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:58 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:30:59 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:31:00 INFO yarn.Client: Application report for application_1446335733827_0001 (state: ACCEPTED)
15/11/01 09:31:01 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:01 INFO yarn.Client:
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: 192.168.1.107
     ApplicationMaster RPC port: 0
     queue: default
     start time: 1446341438409
     final status: UNDEFINED
     tracking URL: http://soy3:8088/proxy/application_1446335733827_0001/
     user: root
15/11/01 09:31:02 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:03 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:04 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:05 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:06 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:07 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:08 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:09 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:10 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:11 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:12 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:13 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:14 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:15 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:16 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:17 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:18 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:19 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:20 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:21 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:22 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:23 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:24 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:25 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:26 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:27 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:28 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:29 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:30 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:31 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:32 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:33 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:34 INFO yarn.Client: Application report for application_1446335733827_0001 (state: RUNNING)
15/11/01 09:31:35 INFO yarn.Client: Application report for application_1446335733827_0001 (state: FINISHED)
15/11/01 09:31:35 INFO yarn.Client:
     client token: N/A
     diagnostics: N/A
     ApplicationMaster host: 192.168.1.107
     ApplicationMaster RPC port: 0
     queue: default
     start time: 1446341438409
     final status: SUCCEEDED
     tracking URL: http://soy3:8088/proxy/application_1446335733827_0001/A
     user: root
15/11/01 09:31:35 INFO yarn.Client: Deleting staging directory .sparkStaging/application_1446335733827_0001
15/11/01 09:31:35 INFO util.Utils: Shutdown hook called
15/11/01 09:31:35 INFO util.Utils: Deleting directory /tmp/spark-d3853661-1371-4c4f-86aa-18a432b6045b

4、作业执行成功后,查看Spark输出到HDFS上的结果文件,如下::
4.1、检查HDFS
    [root@soy2 spark-1.4.1-bin-hadoop2.6]# hdfs dfs -ls /spark1
    Found 3 items
    -rw-r--r--   3 root supergroup          0 2015-11-01 09:31 /spark1/_SUCCESS
    -rw-r--r--   3 root supergroup         62 2015-11-01 09:31 /spark1/part-00000
    -rw-r--r--   3 root supergroup         71 2015-11-01 09:31 /spark1/part-00001
    [root@soy2 spark-1.4.1-bin-hadoop2.6]# hdfs dfs -cat /spark1/*
    (zookeeper,3)
    (storm,1)
    (sqoop,1)
    (spark,1)
    (redis,1)
    (pig,1)
    (mllib,1)
    (mahout,1)
    (kafka,1)
    (hive,2)
    (hbase,1)
    (hadoop,3)
    (flume,1)
    [root@soy2 spark-1.4.1-bin-hadoop2.6]#
4.2、查看YARN中的作业运行记录aaarticlea/png;base64,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alt="" />

到这里,Spark入门应用WordCount程序就运行成功了。

接下来,使用Spark的Java版本开发本地WordCount程序和集群模式的WordCount程序。

本地WordCount程序,如下

package com.mengyao.javaspark.application;

import java.util.Arrays;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.api.java.function.VoidFunction; import scala.Tuple2; /**
* Local WordCount Application
* @author mengyao
*
*/
public class WordCountApp { public static void main(String[] args) {
SparkConf conf = new SparkConf().setAppName("wordcount").setMaster("local");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> lines = sc.textFile("D:/word.txt");
JavaRDD<String> words = lines.flatMap(new FlatMapFunction<String, String>() {
private static final long serialVersionUID = 921776559012714233L;
@Override
public Iterable<String> call(String line) throws Exception {
return Arrays.asList(line.split("\t"));
}
});
JavaPairRDD<String, Integer> pairs = words.mapToPair(new PairFunction<String, String, Integer>() {
private static final long serialVersionUID = -1823807293840503627L;
@Override
public Tuple2<String, Integer> call(String word) throws Exception {
return new Tuple2<String, Integer>(word, 1);
}
});
JavaPairRDD<String, Integer> wordcounts = pairs.reduceByKey(new Function2<Integer, Integer, Integer>() {
private static final long serialVersionUID = 6902960074353889312L;
@Override
public Integer call(Integer v1, Integer v2) throws Exception {
return v1+v2;
}
});
wordcounts.foreach(new VoidFunction<Tuple2<String,Integer>>() {
private static final long serialVersionUID = 2076598418130686106L;
@Override
public void call(Tuple2<String, Integer> wordCount) throws Exception {
System.out.println(wordCount._1+"\t"+wordCount._2);
}
});
sc.close();
} }
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