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分类: LINUX

2017-08-14 15:56:02

此文的环境接着"hadoop,zookeeper,hbase集群配置",链接:http://blog.chinaunix.net/uid-16361381-id-5769123.html
spark的版本要和hadoop的版本对应,下载后,解压spark到任意目录:tar -xzf spark-2.1.0-bin-hadoop2.7.tgz -C /usr/local/
接着配置spark的环境文件,spark-env.sh:

点击(此处)折叠或打开

  1. #!/usr/bin/env bash

  2. #
  3. # Licensed to the Apache Software Foundation (ASF) under one or more
  4. # contributor license agreements. See the NOTICE file distributed with
  5. # this work for additional information regarding copyright ownership.
  6. # The ASF licenses this file to You under the Apache License, Version 2.0
  7. # (the "License"); you may not use this file except in compliance with
  8. # the License. You may obtain a copy of the License at
  9. #
  10. # http://www.apache.org/licenses/LICENSE-2.0
  11. #
  12. # Unless required by applicable law or agreed to in writing, software
  13. # distributed under the License is distributed on an "AS IS" BASIS,
  14. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  15. # See the License for the specific language governing permissions and
  16. # limitations under the License.
  17. #

  18. # This file is sourced when running various Spark programs.
  19. # Copy it as spark-env.sh and edit that to configure Spark for your site.

  20. # Options read when launching programs locally with
  21. # ./bin/run-example or ./bin/spark-submit
  22. # - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
  23. # - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
  24. # - SPARK_PUBLIC_DNS, to set the public dns name of the driver program
  25. # - SPARK_CLASSPATH, default classpath entries to append

  26. # Options read by executors and drivers running inside the cluster
  27. # - SPARK_LOCAL_IP, to set the IP address Spark binds to on this node
  28. # - SPARK_PUBLIC_DNS, to set the public DNS name of the driver program
  29. # - SPARK_CLASSPATH, default classpath entries to append
  30. # - SPARK_LOCAL_DIRS, storage directories to use on this node for shuffle and RDD data
  31. # - MESOS_NATIVE_JAVA_LIBRARY, to point to your libmesos.so if you use Mesos

  32. # Options read in YARN client mode
  33. # - HADOOP_CONF_DIR, to point Spark towards Hadoop configuration files
  34. # - SPARK_EXECUTOR_INSTANCES, Number of executors to start (Default: 2)
  35. # - SPARK_EXECUTOR_CORES, Number of cores for the executors (Default: 1).
  36. # - SPARK_EXECUTOR_MEMORY, Memory per Executor (e.g. 1000M, 2G) (Default: 1G)
  37. # - SPARK_DRIVER_MEMORY, Memory for Driver (e.g. 1000M, 2G) (Default: 1G)

  38. # Options for the daemons used in the standalone deploy mode
  39. # - SPARK_MASTER_HOST, to bind the master to a different IP address or hostname
  40. # - SPARK_MASTER_PORT / SPARK_MASTER_WEBUI_PORT, to use non-default ports for the master
  41. # - SPARK_MASTER_OPTS, to set config properties only for the master (e.g. "-Dx=y")
  42. # - SPARK_WORKER_CORES, to set the number of cores to use on this machine
  43. # - SPARK_WORKER_MEMORY, to set how much total memory workers have to give executors (e.g. 1000m, 2g)
  44. # - SPARK_WORKER_PORT / SPARK_WORKER_WEBUI_PORT, to use non-default ports for the worker
  45. # - SPARK_WORKER_INSTANCES, to set the number of worker processes per node
  46. # - SPARK_WORKER_DIR, to set the working directory of worker processes
  47. # - SPARK_WORKER_OPTS, to set config properties only for the worker (e.g. "-Dx=y")
  48. # - SPARK_DAEMON_MEMORY, to allocate to the master, worker and history server themselves (default: 1g).
  49. # - SPARK_HISTORY_OPTS, to set config properties only for the history server (e.g. "-Dx=y")
  50. # - SPARK_SHUFFLE_OPTS, to set config properties only for the external shuffle service (e.g. "-Dx=y")
  51. # - SPARK_DAEMON_JAVA_OPTS, to set config properties for all daemons (e.g. "-Dx=y")
  52. # - SPARK_PUBLIC_DNS, to set the public dns name of the master or workers

  53. # Generic options for the daemons used in the standalone deploy mode
  54. # - SPARK_CONF_DIR Alternate conf dir. (Default: ${SPARK_HOME}/conf)
  55. # - SPARK_LOG_DIR Where log files are stored. (Default: ${SPARK_HOME}/logs)
  56. # - SPARK_PID_DIR Where the pid file is stored. (Default: /tmp)
  57. # - SPARK_IDENT_STRING A string representing this instance of spark. (Default: $USER)
  58. # - SPARK_NICENESS The scheduling priority for daemons. (Default: 0)
  59. # - SPARK_NO_DAEMONIZE Run the proposed command in the foreground. It will not output a PID file.

  60. export JAVA_HOME=/usr/local/lib/jdk1.8.0_144
  61. export SCALA_HOME=/usr/local/scala-2.13.0-M1
  62. export HADOOP_HOME=/usr/local/hadoop

  63. export STANDALONE_SPARK_MASTER_HOST=test
  64. export SPARK_MASTER_IP=$STANDALONE_SPARK_MASTER_HOST

  65. ### Let's run everything with JVM runtime, instead of Scala
  66. export SPARK_LAUNCH_WITH_SCALA=0
  67. export SPARK_LIBRARY_PATH=${SPARK_HOME}/lib
  68. export SCALA_LIBRARY_PATH=${SPARK_HOME}/lib
  69. export SPARK_MASTER_WEBUI_PORT=18080
  70. #export SPARK_MASTER_PORT=7077
  71. #export SPARK_WORKER_PORT=7078
  72. #export SPARK_WORKER_WEBUI_PORT=18081
  73. #export SPARK_WORKER_DIR=/var/run/spark/work
  74. #export SPARK_LOG_DIR=/var/log/spark
  75. #export SPARK_PID_DIR='/var/run/spark/
添加节点到slaves文件,把 spark整个目录拷贝到每个节点,然后就可以启动了,/usr/local/spark-2.1.0-bin-hadoop2.7/sbin/start-all.sh

每个节点会根据spark-env.sh配置的"export STANDALONE_SPARK_MASTER_HOST=test",寻找主机。
登陆spark shell尽行验证:/usr/local/spark-2.1.0-bin-hadoop2.7/bin/spark-shell
可以成功登陆 spark shell说明spark已经启动成功了!
暂时写到这里,以后再更新!

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