blob: 83b13b83341d070b561d4c6cd404c76c661fbcf1 [file] [log] [blame]
#!/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 script builds and pushes docker images when run from a release of Spark
# with Kubernetes support.
function error {
echo "$@" 1>&2
exit 1
}
if [ -z "${SPARK_HOME}" ]; then
SPARK_HOME="$(cd "`dirname "$0"`"/..; pwd)"
fi
. "${SPARK_HOME}/bin/load-spark-env.sh"
CTX_DIR="$SPARK_HOME/target/tmp/docker"
function is_dev_build {
[ ! -f "$SPARK_HOME/RELEASE" ]
}
function cleanup_ctx_dir {
if is_dev_build; then
rm -rf "$CTX_DIR"
fi
}
trap cleanup_ctx_dir EXIT
function image_ref {
local image="$1"
local add_repo="${2:-1}"
if [ $add_repo = 1 ] && [ -n "$REPO" ]; then
image="$REPO/$image"
fi
if [ -n "$TAG" ]; then
image="$image:$TAG"
fi
echo "$image"
}
function docker_push {
local image_name="$1"
if [ ! -z $(docker images -q "$(image_ref ${image_name})") ]; then
docker push "$(image_ref ${image_name})"
if [ $? -ne 0 ]; then
error "Failed to push $image_name Docker image."
fi
else
echo "$(image_ref ${image_name}) image not found. Skipping push for this image."
fi
}
function resolve_file {
local FILE=$1
if [ -n "$FILE" ]; then
local DIR=$(dirname $FILE)
DIR=$(cd $DIR && pwd)
FILE="${DIR}/$(basename $FILE)"
fi
echo $FILE
}
# Create a smaller build context for docker in dev builds to make the build faster. Docker
# uploads all of the current directory to the daemon, and it can get pretty big with dev
# builds that contain test log files and other artifacts.
#
# Three build contexts are created, one for each image: base, pyspark, and sparkr. For them
# to have the desired effect, the docker command needs to be executed inside the appropriate
# context directory.
#
# Note: docker does not support symlinks in the build context.
function create_dev_build_context {(
set -e
local BASE_CTX="$CTX_DIR/base"
mkdir -p "$BASE_CTX/kubernetes"
cp -r "resource-managers/kubernetes/docker/src/main/dockerfiles" \
"$BASE_CTX/kubernetes/dockerfiles"
cp -r "assembly/target/scala-$SPARK_SCALA_VERSION/jars" "$BASE_CTX/jars"
cp -r "resource-managers/kubernetes/integration-tests/tests" \
"$BASE_CTX/kubernetes/tests"
mkdir "$BASE_CTX/examples"
cp -r "examples/src" "$BASE_CTX/examples/src"
# Copy just needed examples jars instead of everything.
mkdir "$BASE_CTX/examples/jars"
for i in examples/target/scala-$SPARK_SCALA_VERSION/jars/*; do
if [ ! -f "$BASE_CTX/jars/$(basename $i)" ]; then
cp $i "$BASE_CTX/examples/jars"
fi
done
for other in bin sbin data; do
cp -r "$other" "$BASE_CTX/$other"
done
local PYSPARK_CTX="$CTX_DIR/pyspark"
mkdir -p "$PYSPARK_CTX/kubernetes"
cp -r "resource-managers/kubernetes/docker/src/main/dockerfiles" \
"$PYSPARK_CTX/kubernetes/dockerfiles"
mkdir "$PYSPARK_CTX/python"
cp -r "python/lib" "$PYSPARK_CTX/python/lib"
cp -r "python/pyspark" "$PYSPARK_CTX/python/pyspark"
local R_CTX="$CTX_DIR/sparkr"
mkdir -p "$R_CTX/kubernetes"
cp -r "resource-managers/kubernetes/docker/src/main/dockerfiles" \
"$R_CTX/kubernetes/dockerfiles"
cp -r "R" "$R_CTX/R"
)}
function img_ctx_dir {
if is_dev_build; then
echo "$CTX_DIR/$1"
else
echo "$SPARK_HOME"
fi
}
function build {
local BUILD_ARGS
local SPARK_ROOT="$SPARK_HOME"
if is_dev_build; then
create_dev_build_context || error "Failed to create docker build context."
SPARK_ROOT="$CTX_DIR/base"
fi
# Verify that the Docker image content directory is present
if [ ! -d "$SPARK_ROOT/kubernetes/dockerfiles" ]; then
error "Cannot find docker image. This script must be run from a runnable distribution of Apache Spark."
fi
# Verify that Spark has actually been built/is a runnable distribution
# i.e. the Spark JARs that the Docker files will place into the image are present
local TOTAL_JARS=$(ls $SPARK_ROOT/jars/spark-* | wc -l)
TOTAL_JARS=$(( $TOTAL_JARS ))
if [ "${TOTAL_JARS}" -eq 0 ]; then
error "Cannot find Spark JARs. This script assumes that Apache Spark has first been built locally or this is a runnable distribution."
fi
local BUILD_ARGS=(${BUILD_PARAMS})
# If a custom SPARK_UID was set add it to build arguments
if [ -n "$SPARK_UID" ]; then
BUILD_ARGS+=(--build-arg spark_uid=$SPARK_UID)
fi
local BINDING_BUILD_ARGS=(
${BUILD_ARGS[@]}
--build-arg
base_img=$(image_ref spark)
)
local BASEDOCKERFILE=${BASEDOCKERFILE:-"kubernetes/dockerfiles/spark/Dockerfile"}
local PYDOCKERFILE=${PYDOCKERFILE:-false}
local RDOCKERFILE=${RDOCKERFILE:-false}
local ARCHS=${ARCHS:-"--platform linux/amd64,linux/arm64"}
(cd $(img_ctx_dir base) && docker build $NOCACHEARG "${BUILD_ARGS[@]}" \
-t $(image_ref spark) \
-f "$BASEDOCKERFILE" .)
if [ $? -ne 0 ]; then
error "Failed to build Spark JVM Docker image, please refer to Docker build output for details."
fi
if [ "${CROSS_BUILD}" != "false" ]; then
(cd $(img_ctx_dir base) && docker buildx build $ARCHS $NOCACHEARG "${BUILD_ARGS[@]}" --push \
-t $(image_ref spark) \
-f "$BASEDOCKERFILE" .)
fi
if [ "${PYDOCKERFILE}" != "false" ]; then
(cd $(img_ctx_dir pyspark) && docker build $NOCACHEARG "${BINDING_BUILD_ARGS[@]}" \
-t $(image_ref spark-py) \
-f "$PYDOCKERFILE" .)
if [ $? -ne 0 ]; then
error "Failed to build PySpark Docker image, please refer to Docker build output for details."
fi
if [ "${CROSS_BUILD}" != "false" ]; then
(cd $(img_ctx_dir pyspark) && docker buildx build $ARCHS $NOCACHEARG "${BINDING_BUILD_ARGS[@]}" --push \
-t $(image_ref spark-py) \
-f "$PYDOCKERFILE" .)
fi
fi
if [ "${RDOCKERFILE}" != "false" ]; then
(cd $(img_ctx_dir sparkr) && docker build $NOCACHEARG "${BINDING_BUILD_ARGS[@]}" \
-t $(image_ref spark-r) \
-f "$RDOCKERFILE" .)
if [ $? -ne 0 ]; then
error "Failed to build SparkR Docker image, please refer to Docker build output for details."
fi
if [ "${CROSS_BUILD}" != "false" ]; then
(cd $(img_ctx_dir sparkr) && docker buildx build $ARCHS $NOCACHEARG "${BINDING_BUILD_ARGS[@]}" --push \
-t $(image_ref spark-r) \
-f "$RDOCKERFILE" .)
fi
fi
}
function push {
docker_push "spark"
docker_push "spark-py"
docker_push "spark-r"
}
function usage {
cat <<EOF
Usage: $0 [options] [command]
Builds or pushes the built-in Spark Docker image.
Commands:
build Build image. Requires a repository address to be provided if the image will be
pushed to a different registry.
push Push a pre-built image to a registry. Requires a repository address to be provided.
Options:
-f file Dockerfile to build for JVM based Jobs. By default builds the Dockerfile shipped with Spark.
-p file (Optional) Dockerfile to build for PySpark Jobs. Builds Python dependencies and ships with Spark.
Skips building PySpark docker image if not specified.
-R file (Optional) Dockerfile to build for SparkR Jobs. Builds R dependencies and ships with Spark.
Skips building SparkR docker image if not specified.
-r repo Repository address.
-t tag Tag to apply to the built image, or to identify the image to be pushed.
-m Use minikube's Docker daemon.
-n Build docker image with --no-cache
-u uid UID to use in the USER directive to set the user the main Spark process runs as inside the
resulting container
-X Use docker buildx to cross build. Automatically pushes.
See https://docs.docker.com/buildx/working-with-buildx/ for steps to setup buildx.
-b arg Build arg to build or push the image. For multiple build args, this option needs to
be used separately for each build arg.
Using minikube when building images will do so directly into minikube's Docker daemon.
There is no need to push the images into minikube in that case, they'll be automatically
available when running applications inside the minikube cluster.
Check the following documentation for more information on using the minikube Docker daemon:
https://kubernetes.io/docs/getting-started-guides/minikube/#reusing-the-docker-daemon
Examples:
- Build image in minikube with tag "testing"
$0 -m -t testing build
- Build PySpark docker image
$0 -r docker.io/myrepo -t v2.3.0 -p kubernetes/dockerfiles/spark/bindings/python/Dockerfile build
- Build and push image with tag "v2.3.0" to docker.io/myrepo
$0 -r docker.io/myrepo -t v2.3.0 build
$0 -r docker.io/myrepo -t v2.3.0 push
- Build and push JDK11-based image with tag "v3.0.0" to docker.io/myrepo
$0 -r docker.io/myrepo -t v3.0.0 -b java_image_tag=11-jre-slim build
$0 -r docker.io/myrepo -t v3.0.0 push
- Build and push JDK11-based image for multiple archs to docker.io/myrepo
$0 -r docker.io/myrepo -t v3.0.0 -X -b java_image_tag=11-jre-slim build
# Note: buildx, which does cross building, needs to do the push during build
# So there is no separate push step with -X
EOF
}
if [[ "$@" = *--help ]] || [[ "$@" = *-h ]]; then
usage
exit 0
fi
REPO=
TAG=
BASEDOCKERFILE=
PYDOCKERFILE=
RDOCKERFILE=
NOCACHEARG=
BUILD_PARAMS=
SPARK_UID=
CROSS_BUILD="false"
while getopts f:p:R:mr:t:Xnb:u: option
do
case "${option}"
in
f) BASEDOCKERFILE=$(resolve_file ${OPTARG});;
p) PYDOCKERFILE=$(resolve_file ${OPTARG});;
R) RDOCKERFILE=$(resolve_file ${OPTARG});;
r) REPO=${OPTARG};;
t) TAG=${OPTARG};;
n) NOCACHEARG="--no-cache";;
b) BUILD_PARAMS=${BUILD_PARAMS}" --build-arg "${OPTARG};;
X) CROSS_BUILD=1;;
m)
if ! which minikube 1>/dev/null; then
error "Cannot find minikube."
fi
if ! minikube status 1>/dev/null; then
error "Cannot contact minikube. Make sure it's running."
fi
eval $(minikube docker-env --shell bash)
;;
u) SPARK_UID=${OPTARG};;
esac
done
case "${@: -1}" in
build)
build
;;
push)
if [ -z "$REPO" ]; then
usage
exit 1
fi
push
;;
*)
usage
exit 1
;;
esac