BigInsights的python版本目前为2.6.6。如何在纱线上运行我的火花作业使用不同版本的Python?
请注意,云上BigInsights的用户没有root访问权限。
答案 0 :(得分:1)
安装Anaconda
此脚本在云端4.2企业集群上的BigInsights上安装anaconda python。 请注意,这些说明不适用于Basic集群,因为您只能登录shell节点而不能登录任何其他节点。
进入mastermanager节点,然后运行(更改环境的值):
export BI_USER=snowch
export BI_PASS=changeme
export BI_HOST=bi-hadoop-prod-4118.bi.services.us-south.bluemix.net
接下来运行以下内容。该脚本试图尽可能地具有同等性能,因此如果您多次运行它并不重要:
# abort if the script encounters an error or undeclared variables
set -euo
CLUSTER_NAME=$(curl -s -k -u $BI_USER:$BI_PASS -X GET https://${BI_HOST}:9443/api/v1/clusters | python -c 'import sys, json; print(json.load(sys.stdin)["items"][0]["Clusters"]["cluster_name"]);')
echo Cluster Name: $CLUSTER_NAME
CLUSTER_HOSTS=$(curl -s -k -u $BI_USER:$BI_PASS -X GET https://${BI_HOST}:9443/api/v1/clusters/${CLUSTER_NAME}/hosts | python -c 'import sys, json; items = json.load(sys.stdin)["items"]; hosts = [ item["Hosts"]["host_name"] for item in items ]; print(" ".join(hosts));')
echo Cluster Hosts: $CLUSTER_HOSTS
wget -c https://repo.continuum.io/archive/Anaconda2-4.1.1-Linux-x86_64.sh
# Install anaconda if it isn't already installed
[[ -d anaconda2 ]] || bash Anaconda2-4.1.1-Linux-x86_64.sh -b
# You can install your pip modules using something like this:
# ${HOME}/anaconda2/bin/python -c 'import yourlibrary' || ${HOME}/anaconda2/pip install yourlibrary
# Install anaconda on all of the cluster nodes
for CLUSTER_HOST in ${CLUSTER_HOSTS};
do
if [[ "$CLUSTER_HOST" != "$BI_HOST" ]];
then
echo "*** Processing $CLUSTER_HOST ***"
ssh $BI_USER@$CLUSTER_HOST "wget -q -c https://repo.continuum.io/archive/Anaconda2-4.1.1-Linux-x86_64.sh"
ssh $BI_USER@$CLUSTER_HOST "[[ -d anaconda2 ]] || bash Anaconda2-4.1.1-Linux-x86_64.sh -b"
# You can install your pip modules on each node using something like this:
# ssh $BI_USER@$CLUSTER_HOST "${HOME}/anaconda2/bin/python -c 'import yourlibrary' || ${HOME}/anaconda2/pip install yourlibrary"
# Set the PYSPARK_PYTHON path on all of the nodes
ssh $BI_USER@$CLUSTER_HOST "grep '^export PYSPARK_PYTHON=' ~/.bash_profile || echo export PYSPARK_PYTHON=${HOME}/anaconda2/bin/python2.7 >> ~/.bash_profile"
ssh $BI_USER@$CLUSTER_HOST "sed -i -e 's;^export PYSPARK_PYTHON=.*$;export PYSPARK_PYTHON=${HOME}/anaconda2/bin/python2.7;g' ~/.bash_profile"
ssh $BI_USER@$CLUSTER_HOST "cat ~/.bash_profile"
fi
done
echo 'Finished installing'
运行pyspark工作
如果你正在使用pyspark,你可以使用anaconda python,在运行pyspark命令之前设置以下变量:
export SPARK_HOME=/usr/iop/current/spark-client
export HADOOP_CONF_DIR=/usr/iop/current/hadoop-client/conf
# set these to the folders where you installed anaconda
export PYSPARK_PYTHON=/home/biadmin/anaconda2/bin/python2.7
export PYSPARK_DRIVER_PYTHON=/home/biadmin/anaconda2/bin/python2.7
spark-submit --master yarn --deploy-mode client ...
# NOTE: --deploy-mode cluster does not seem to use the PYSPARK_PYTHON setting
...
Zeppelin(可选)
如果您使用的是Zeppelin(as per these instructions for BigInsights on cloud),请在zeppelin_env.sh中设置以下变量:
# set these to the folders where you installed anaconda
export PYSPARK_PYTHON=/home/biadmin/anaconda2/bin/python2.7
export PYSPARK_DRIVER_PYTHON=/home/biadmin/anaconda2/bin/python2.7