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"The following code can be used to install packages on each executor node at runtime. \\\n",
"**Note**: This functionality is not available on a non-root BDC deployment (including OpenShift). This installation is temporary, and must be performed each time a new Spark session is invoked.\n",
"\n",
"If you want to use this from CU5 upwards, you must add two settings pre-deployment.\n",
"\n",
"In contron.json, add (under security):\n",
"\n",
"_\"allowRunAsRoot\": true_\n",
"\n",
"In BDC.json, add (under spec.services.spark.settings): \n",
"\n",
"_\"yarn-site.yarn.nodemanager.container-executor.class\": \"org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor\"_\n",
"\n",
"``` Python\n",
"import subprocess\n",
"\n",
"import os\n",
"os.environ[\"XDG_CACHE_HOME\"]=\"/tmp\"\n",
"# Install TensorFlow\n",
"stdout = subprocess.check_output(\n",
" \"pip3 install tensorflow\",\n",
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