forked from NVIDIA/spark-rapids-container
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathDockerfile
269 lines (244 loc) · 12 KB
/
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
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
# Copyright (c) 2022, NVIDIA CORPORATION.
#
# Licensed 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.
#############
# Combine all below Dockerfiles together:
# https://github.com/databricks/containers/blob/master/ubuntu/gpu/cuda-11/base/Dockerfile
# https://github.com/databricks/containers/blob/master/ubuntu/minimal/Dockerfile
# https://github.com/databricks/containers/blob/master/ubuntu/python/Dockerfile
# https://github.com/databricks/containers/blob/master/ubuntu/dbfsfuse/Dockerfile
# https://github.com/databricks/containers/blob/master/ubuntu/standard/Dockerfile
# https://github.com/databricks/containers/blob/master/experimental/ubuntu/ganglia/Dockerfile
# https://github.com/dayananddevarapalli/containers/blob/main/webterminal/Dockerfile
#############
ARG CUDA_VERSION=11.5.2
FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu20.04 as base
ARG CUDA_PKG_VERSION=11-5
#############
# Install all needed libs
#############
RUN set -ex && \
cd /etc/apt/sources.list.d && \
mv cuda.list cuda.list.disabled && \
apt-get -y update && \
apt-get -y install wget && \
wget -qO - https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/3bf863cc.pub | apt-key add - && \
cd /etc/apt/sources.list.d && \
mv cuda.list.disabled cuda.list && \
apt-get -y update && \
apt-get -y upgrade && \
apt-get install -y software-properties-common && \
add-apt-repository ppa:deadsnakes/ppa -y && \
apt-get -y install python3.8 virtualenv python3-filelock libcairo2 cuda-cupti-${CUDA_PKG_VERSION} \
cuda-toolkit-${CUDA_PKG_VERSION}-config-common cuda-toolkit-11-config-common cuda-toolkit-config-common \
openjdk-8-jdk-headless iproute2 bash sudo coreutils procps gpg fuse openssh-server && \
apt-get -y install cuda-cudart-dev-${CUDA_PKG_VERSION} cuda-cupti-dev-${CUDA_PKG_VERSION} cuda-driver-dev-${CUDA_PKG_VERSION} \
cuda-nvcc-${CUDA_PKG_VERSION} cuda-thrust-${CUDA_PKG_VERSION} cuda-toolkit-${CUDA_PKG_VERSION}-config-common cuda-toolkit-11-config-common \
cuda-toolkit-config-common python3.8-dev libpq-dev libcairo2-dev build-essential unattended-upgrades cmake ccache \
openmpi-bin linux-headers-5.4.0-117 linux-headers-5.4.0-117-generic linux-headers-generic libopenmpi-dev unixodbc-dev \
sysstat ssh tmux supervisor && \
apt-get install -y less vim && \
/var/lib/dpkg/info/ca-certificates-java.postinst configure && \
# Initialize the default environment that Spark and notebooks will use
virtualenv -p python3.8 --system-site-packages /databricks/python3 --no-download --no-setuptools --wheel 0.38.4 \
&& /databricks/python3/bin/pip install --no-cache-dir --upgrade pip \
&& /databricks/python3/bin/pip install \
databricks-cli \
ipython \
&& /databricks/python3/bin/pip install --force-reinstall \
virtualenv \
&& /databricks/python3/bin/pip cache purge && \
apt-get -y purge --autoremove software-properties-common cuda-cudart-dev-${CUDA_PKG_VERSION} cuda-cupti-dev-${CUDA_PKG_VERSION} \
cuda-driver-dev-${CUDA_PKG_VERSION} cuda-nvcc-${CUDA_PKG_VERSION} cuda-thrust-${CUDA_PKG_VERSION} \
python3.8-dev libpq-dev libcairo2-dev build-essential unattended-upgrades cmake ccache openmpi-bin \
linux-headers-5.4.0-117 linux-headers-5.4.0-117-generic linux-headers-generic libopenmpi-dev unixodbc-dev \
virtualenv python3-virtualenv && \
apt-get clean && \
rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* && \
mkdir -p /databricks/jars && \
mkdir -p /mnt/driver-daemon && \
#############
# Disable NVIDIA repos to prevent accidental upgrades.
#############
ln -s /databricks/jars /mnt/driver-daemon/jars && \
cd /etc/apt/sources.list.d && \
mv cuda.list cuda.list.disabled && \
# Create user "ubuntu"
useradd --create-home --shell /bin/bash --groups sudo ubuntu
#############
# Set all env variables
#############
ARG DATABRICKS_RUNTIME_VERSION=10.4
ENV PYSPARK_PYTHON=/databricks/python3/bin/python3
ENV DATABRICKS_RUNTIME_VERSION=${DATABRICKS_RUNTIME_VERSION}
ENV LANG=C.UTF-8
ENV USER=ubuntu
ENV PATH=/usr/local/nvidia/bin:/databricks/python3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin
FROM base as with-plugin
#############
# Spark RAPIDS configuration
#############
ARG DRIVER_CONF_FILE=00-custom-spark-driver-defaults.conf
ARG JAR_FILE=rapids-4-spark_2.12-22.12.0.jar
ARG JAR_URL=https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/22.12.0/${JAR_FILE}
ARG INIT_SCRIPT=init.sh
COPY ${DRIVER_CONF_FILE} /databricks/driver/conf/00-custom-spark-driver-defaults.conf
WORKDIR /databricks/jars
ADD $JAR_URL /databricks/jars/${JAR_FILE}
ADD $INIT_SCRIPT /opt/spark-rapids/init.sh
RUN chmod 755 /opt/spark-rapids/init.sh
WORKDIR /databricks
# libganglia1 in ubuntu 20.04 actually is missing the modpython.so library
# needed for the GPU metrics plugin
# this is actually a known packaging bug in Ubuntu
# See https://bugs.launchpad.net/ubuntu/+source/ganglia/+bug/1894045
# Therefore we need to download the package from Ubuntu 18.04 (which includes
# the missing library)
FROM ubuntu:18.04 as download-modpython
RUN cd /tmp && \
apt-get -y update && \
apt-get -y download libganglia1 && \
ls -al
#############
# Setup Ganglia
#############
FROM with-plugin as with-ganglia
ARG GANGLIA_WEBROOT=/usr/share/ganglia-webfrontend
WORKDIR /databricks
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get install -q -y --force-yes --fix-missing --ignore-missing \
ganglia-monitor \
ganglia-webfrontend \
ganglia-monitor-python \
libpython2.7 \
python3-pip \
wget \
rsync \
cron \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
# Upgrade Ganglia to 3.7.2 to patch XSS bug, see CJ-15250
# Upgrade Ganglia to 3.7.4 and use private forked repo to patch several security bugs, see CJ-20114
# SC-17279: We run gmetad as user ganglia, so change the owner from nobody to ganglia for the rrd directory
RUN cd /tmp \
&& export GANGLIA_WEB=ganglia-web-3.7.4-db-4 \
&& wget https://s3-us-west-2.amazonaws.com/databricks-build-files/$GANGLIA_WEB.tar.gz \
&& tar xvzf $GANGLIA_WEB.tar.gz \
&& cd $GANGLIA_WEB \
&& make install \
&& chown ganglia:ganglia /var/lib/ganglia/rrds
# Install Phantom.JS
RUN cd /tmp \
&& export PHANTOM_JS="phantomjs-2.1.1-linux-x86_64" \
&& wget https://s3-us-west-2.amazonaws.com/databricks-build-files/$PHANTOM_JS.tar.bz2 \
&& tar xvjf $PHANTOM_JS.tar.bz2 \
&& mv $PHANTOM_JS /usr/local/share \
&& ln -sf /usr/local/share/$PHANTOM_JS/bin/phantomjs /usr/local/bin
# Install ganglia modpython from Ubuntu 18.04
COPY --from=download-modpython /tmp/libganglia1_*.deb /tmp
RUN cd /tmp \
&& mkdir -p /tmp/libganglia1 \
&& dpkg-deb -xv libganglia1_*.deb /tmp/libganglia1 \
&& cp /tmp/libganglia1/usr/lib/ganglia/modpython.so /usr/lib/ganglia/ \
&& rm -rf /tmp/libganglia1
# Apache2 config. The `sites-enabled` config files are loaded into the container
# later.
RUN rm /etc/apache2/sites-enabled/* && a2enmod proxy && a2enmod proxy_http
RUN mkdir -p /etc/monit/conf.d
RUN echo '\
check process ganglia-monitor with pidfile /var/run/ganglia-monitor.pid\n\
start program = "/usr/sbin/service ganglia-monitor start"\n\
stop program = "/usr/sbin/service ganglia-monitor stop"\n\
if memory usage > 500 MB for 3 cycles then restart\n\
' > /etc/monit/conf.d/ganglia-monitor-not-active
RUN echo '\
check process gmetad with pidfile /var/run/gmetad.pid\n\
start program = "/usr/sbin/service gmetad start"\n\
stop program = "/usr/sbin/service gmetad stop"\n\
if memory usage > 500 MB for 3 cycles then restart\n\
\n\
check process apache2 with pidfile /var/run/apache2/apache2.pid\n\
start program = "/usr/sbin/service apache2 start"\n\
stop program = "/usr/sbin/service apache2 stop"\n\
if memory usage > 500 MB for 3 cycles then restart\n\
' > /etc/monit/conf.d/gmetad-not-active
RUN echo '\
check process spark-slave with pidfile /tmp/spark-root-org.apache.spark.deploy.worker.Worker-1.pid\n\
start program = "/databricks/spark/scripts/restart-workers"\n\
stop program = "/databricks/spark/scripts/kill_worker.sh"\n\
' > /etc/monit/conf.d/spark-slave-not-active
# add Ganglia configuration file indicating the DocumentRoot - Databricks checks this to enable Ganglia upon cluster startup
RUN mkdir -p /etc/apache2/sites-enabled
ADD ganglia/ganglia.conf /etc/apache2/sites-enabled
RUN chmod 775 /etc/apache2/sites-enabled/ganglia.conf
ADD ganglia/gconf/*.conf /etc/ganglia/
RUN mkdir -p /databricks/spark/scripts/ganglia/
RUN mkdir -p /databricks/spark/scripts/
RUN mkdir -p $GANGLIA_WEBROOT/graph.d
ADD ganglia/start_spark_slave.sh /databricks/spark/scripts/start_spark_slave.sh
# add local monit shell script in the right location
RUN mkdir -p /etc/init.d
ADD scripts/monit /etc/init.d
RUN chmod 775 /etc/init.d/monit
# For GPU monitoring in Ganglia, you need the modules available here:
# https://github.com/ganglia/gmond_python_modules/tree/master/gpu/nvidia/python_modules
ADD ganglia/gconf/conf.d/* /etc/ganglia/conf.d/
ADD ganglia/python_modules/* /usr/lib/ganglia/python_modules
RUN /usr/bin/pip install --upgrade -t /usr/lib/ganglia/python_modules/ nvidia-ml-py
# Copy the files needed for GPU monitoring in Ganglia
#############
# Set up webterminal ssh
#############
FROM with-ganglia as with-webterminal
RUN wget https://github.com/tsl0922/ttyd/releases/download/1.6.3/ttyd.x86_64 && \
mkdir -p /databricks/driver/logs && \
mkdir -p /databricks/spark/scripts/ttyd/ && \
mkdir -p /etc/monit/conf.d/ && \
mv ttyd.x86_64 /databricks/spark/scripts/ttyd/ttyd && \
export TTYD_BIN_FILE=/databricks/spark/scripts/ttyd/ttyd
ENV TTYD_DIR=/databricks/spark/scripts/ttyd
ENV TTYD_BIN_FILE=$TTYD_DIR/ttyd
COPY webterminal/setup_ttyd_daemon.sh $TTYD_DIR/setup_ttyd_daemon.sh
COPY webterminal/stop_ttyd_daemon.sh $TTYD_DIR/stop_ttyd_daemon.sh
COPY webterminal/start_ttyd_daemon.sh $TTYD_DIR/start_ttyd_daemon.sh
COPY webterminal/webTerminalBashrc $TTYD_DIR/webTerminalBashrc
RUN echo '\
check process ttyd with pidfile /var/run/ttyd-daemon.pid\n\
start program = "/databricks/spark/scripts/ttyd/start_ttyd_daemon.sh"\n\
stop program = "/databricks/spark/scripts/ttyd/stop_ttyd_daemon.sh"' > /etc/monit/conf.d/ttyd-daemon-not-active
FROM with-webterminal as with-alluxio
#############
# Setup Alluxio
#############
RUN apt-get update && apt-get install -q -y git maven
ARG ALLUXIO_VERSION=2.9.0
ARG ALLUXIO_HOME="/opt/alluxio-${ALLUXIO_VERSION}"
ARG ALLUXIO_TAR_FILE="alluxio-${ALLUXIO_VERSION}-bin.tar.gz"
ADD Alluxio-2.9.0-without-CVE /tmp/Alluxio-2.9.0-without-CVE
# clone 2.9.0 source, fix CVE issues, compile, then install to /opt/alluxio-x.x.x
RUN /tmp/Alluxio-2.9.0-without-CVE/build-from-src-and-fix-CVE.sh
RUN cp ${ALLUXIO_HOME}/client/alluxio-${ALLUXIO_VERSION}-client.jar /databricks/jars/
#############
# Setup Prometheus
#############
ARG PROMETHEUS_VERSION=2.37.3
ARG PROMETHEUS_TAR_FILE=prometheus-${PROMETHEUS_VERSION}.linux-amd64.tar.gz
ARG PROMETHEUS_DOWNLOAD_URL=https://github.com/prometheus/prometheus/releases/download/v${PROMETHEUS_VERSION}/${PROMETHEUS_TAR_FILE}
RUN wget -O /tmp/${PROMETHEUS_TAR_FILE} ${PROMETHEUS_DOWNLOAD_URL} \
&& tar zxf /tmp/${PROMETHEUS_TAR_FILE} -C /opt/ \
&& rm -f /tmp/${PROMETHEUS_TAR_FILE}
#############
# Allow ubuntu user to sudo without password
#############
RUN echo "ubuntu ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/ubuntu \
&& chmod 555 /etc/sudoers.d/ubuntu