-
Notifications
You must be signed in to change notification settings - Fork 3
/
pyspark.Dockerfile
46 lines (39 loc) · 1.86 KB
/
pyspark.Dockerfile
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
# 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.
#
ARG base_img=spark:latest
FROM $base_img
WORKDIR /
# Reset to root to run installation tasks
USER 0
RUN mkdir ${SPARK_HOME}/python
RUN apt-get update && \
# Add wget to download maven jars
apt install -y python3 python3-pip wget && \
pip3 install --upgrade pip setuptools && \
# Removed the .cache to save space
rm -r /root/.cache && rm -rf /var/cache/apt/*
COPY python/pyspark ${SPARK_HOME}/python/pyspark
COPY python/lib ${SPARK_HOME}/python/lib
# Add S3A support
RUN wget -O /opt/spark/jars/hadoop-aws-3.2.2.jar https://repo1.maven.org/maven2/org/apache/hadoop/hadoop-aws/3.2.2/hadoop-aws-3.2.2.jar
RUN wget -O /opt/spark/jars/aws-java-sdk-bundle-1.12.270.jar https://repo1.maven.org/maven2/com/amazonaws/aws-java-sdk-bundle/1.12.270/aws-java-sdk-bundle-1.12.270.jar
# Add Postgres support
RUN wget -O /opt/spark/jars/postgresql-42.2.20.jar https://repo1.maven.org/maven2/org/postgresql/postgresql/42.2.20/postgresql-42.2.20.jar
WORKDIR /opt/spark/work-dir
ENTRYPOINT [ "/opt/entrypoint.sh" ]
# Specify the User that the actual main process will run as
ARG spark_uid=185
USER ${spark_uid}