| #!/usr/bin/env bash |
| |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one or more |
| # contributor license agreements. See the NOTICE file distributed with |
| # this work for additional information regarding copyright ownership. |
| # The ASF licenses this file to You under the Apache License, Version 2.0 |
| # (the "License"); you may not use this file except in compliance with |
| # the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| # This file is used for Binder integration to install PySpark available in |
| # Jupyter notebook. |
| |
| VERSION=$(python -c "exec(open('python/pyspark/version.py').read()); print(__version__)") |
| TAG=$(git describe --tags --exact-match 2>/dev/null) |
| |
| # If a commit is tagged, exactly specified version of pyspark should be installed to avoid |
| # a kind of accident that an old version of pyspark is installed in the live notebook environment. |
| # See SPARK-37170 |
| if [ -n "$TAG" ]; then |
| SPECIFIER="==" |
| else |
| SPECIFIER="<=" |
| fi |
| |
| if [[ ! $VERSION < "3.4.0" ]]; then |
| pip install plotly "pyspark[sql,ml,mllib,pandas_on_spark,connect]$SPECIFIER$VERSION" |
| else |
| pip install plotly "pyspark[sql,ml,mllib,pandas_on_spark]$SPECIFIER$VERSION" |
| fi |
| |
| # Set 'PYARROW_IGNORE_TIMEZONE' to surpress warnings from PyArrow. |
| echo "export PYARROW_IGNORE_TIMEZONE=1" >> ~/.profile |
| |
| # Add sbin to PATH to run `start-connect-server.sh`. |
| SPARK_HOME=$(python -c "from pyspark.find_spark_home import _find_spark_home; print(_find_spark_home())") |
| echo "export PATH=${PATH}:${SPARK_HOME}/sbin" >> ~/.profile |
| |
| # Add Spark version to env for running command dynamically based on Spark version. |
| SPARK_VERSION=$(python -c "import pyspark; print(pyspark.__version__)") |
| echo "export SPARK_VERSION=${SPARK_VERSION}" >> ~/.profile |
| |
| # Surpress warnings from Spark jobs, and UI progress bar. |
| mkdir -p ~/.ipython/profile_default/startup |
| echo """from pyspark.sql import SparkSession |
| SparkSession.builder.config('spark.ui.showConsoleProgress', 'false').getOrCreate().sparkContext.setLogLevel('FATAL') |
| """ > ~/.ipython/profile_default/startup/00-init.py |