Pyspark on Yarn解决pythony依赖问题及pyspark设置python3

Pyspark on Yarn解决pythony依赖问题

python版本 3.6.8

spark版本 2.4.5

• 创建python虚拟环境，详情见

• 压缩虚拟环境

  cd /usr/local/thirdparty/
  zip -q -r ai_test.zip ai_test/
  

• 虚拟环境put到HDFS

  hdfs dfs -put ai_test.zip /ai
  

• spark submit提交任务

  spark-submit --master yarn \
  --deploy-mode cluster \
  --archives hdfs:///ai/ai_test.zip#py3 \
  --conf spark.yarn.appMasterEnv.PYSPARK_PYTHON='py3/ai_test/bin/python' \
  xxx.py
  
  --archives hdfs:///ai/ai_test.zip#py3     #py3 是一个别名，可任意取，便于spark.yarn.appMasterEnv.PYSPARK_PYTHON定位python环境
  

pyspark设置python3

• 修改spark-env.sh文件，新增配置

  vim spark-env.sh
  
  export PYSPARK_PYTHON=/usr/local/bin/python3
  

• 修改bin目录下的pyspark

  vim pyspark
  
  if [[ -z "$PYSPARK_PYTHON" ]]; then
    if [[ $PYSPARK_DRIVER_PYTHON == *ipython* && ! $WORKS_WITH_IPYTHON ]]; then
      echo "IPython requires Python 2.7+; please install python2.7 or set PYSPARK_PYTHON" 1>&2
      exit 1
    else
      PYSPARK_PYTHON=python3  #修改此处
    fi
  fi
  export PYSPARK_PYTHON