d6be46eb9c
## What changes were proposed in this pull request? SPARK-24530 discovered a problem of generation python doc, and provided a fix: setting SPHINXPYTHON to python 3. This PR makes this fix automatic in the release script using docker. ## How was this patch tested? verified by the 2.4.0 rc2 Closes #22607 from cloud-fan/python. Authored-by: Wenchen Fan <wenchen@databricks.com> Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>
147 lines
4.3 KiB
Bash
Executable file
147 lines
4.3 KiB
Bash
Executable file
#!/usr/bin/env bash
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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#
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# Creates a Spark release candidate. The script will update versions, tag the branch,
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# build Spark binary packages and documentation, and upload maven artifacts to a staging
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# repository. There is also a dry run mode where only local builds are performed, and
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# nothing is uploaded to the ASF repos.
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#
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# Run with "-h" for options.
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#
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set -e
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SELF=$(cd $(dirname $0) && pwd)
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. "$SELF/release-util.sh"
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function usage {
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local NAME=$(basename $0)
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cat <<EOF
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Usage: $NAME [options]
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This script runs the release scripts inside a docker image. The image is hardcoded to be called
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"spark-rm" and will be re-generated (as needed) on every invocation of this script.
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Options are:
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-d [path] : required: working directory (output will be written to an "output" directory in
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the working directory).
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-n : dry run mode. Performs checks and local builds, but do not upload anything.
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-t [tag] : tag for the spark-rm docker image to use for building (default: "latest").
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-j [path] : path to local JDK installation to use for building. By default the script will
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use openjdk8 installed in the docker image.
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-s [step] : runs a single step of the process; valid steps are: tag, build, docs, publish
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EOF
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}
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WORKDIR=
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IMGTAG=latest
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JAVA=
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RELEASE_STEP=
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while getopts "d:hj:ns:t:" opt; do
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case $opt in
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d) WORKDIR="$OPTARG" ;;
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n) DRY_RUN=1 ;;
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t) IMGTAG="$OPTARG" ;;
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j) JAVA="$OPTARG" ;;
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s) RELEASE_STEP="$OPTARG" ;;
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h) usage ;;
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?) error "Invalid option. Run with -h for help." ;;
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esac
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done
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if [ -z "$WORKDIR" ] || [ ! -d "$WORKDIR" ]; then
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error "Work directory (-d) must be defined and exist. Run with -h for help."
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fi
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if [ -d "$WORKDIR/output" ]; then
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read -p "Output directory already exists. Overwrite and continue? [y/n] " ANSWER
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if [ "$ANSWER" != "y" ]; then
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error "Exiting."
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fi
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fi
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cd "$WORKDIR"
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rm -rf "$WORKDIR/output"
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mkdir "$WORKDIR/output"
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get_release_info
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# Place all RM scripts and necessary data in a local directory that must be defined in the command
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# line. This directory is mounted into the image.
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for f in "$SELF"/*; do
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if [ -f "$f" ]; then
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cp "$f" "$WORKDIR"
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fi
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done
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GPG_KEY_FILE="$WORKDIR/gpg.key"
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fcreate_secure "$GPG_KEY_FILE"
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$GPG --export-secret-key --armor "$GPG_KEY" > "$GPG_KEY_FILE"
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run_silent "Building spark-rm image with tag $IMGTAG..." "docker-build.log" \
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docker build -t "spark-rm:$IMGTAG" --build-arg UID=$UID "$SELF/spark-rm"
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# Write the release information to a file with environment variables to be used when running the
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# image.
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ENVFILE="$WORKDIR/env.list"
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fcreate_secure "$ENVFILE"
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function cleanup {
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rm -f "$ENVFILE"
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rm -f "$GPG_KEY_FILE"
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}
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trap cleanup EXIT
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cat > $ENVFILE <<EOF
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DRY_RUN=$DRY_RUN
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SKIP_TAG=$SKIP_TAG
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RUNNING_IN_DOCKER=1
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GIT_BRANCH=$GIT_BRANCH
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NEXT_VERSION=$NEXT_VERSION
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RELEASE_VERSION=$RELEASE_VERSION
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RELEASE_TAG=$RELEASE_TAG
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GIT_REF=$GIT_REF
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SPARK_PACKAGE_VERSION=$SPARK_PACKAGE_VERSION
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ASF_USERNAME=$ASF_USERNAME
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GIT_NAME=$GIT_NAME
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GIT_EMAIL=$GIT_EMAIL
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GPG_KEY=$GPG_KEY
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ASF_PASSWORD=$ASF_PASSWORD
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GPG_PASSPHRASE=$GPG_PASSPHRASE
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RELEASE_STEP=$RELEASE_STEP
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EOF
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JAVA_VOL=
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if [ -n "$JAVA" ]; then
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echo "JAVA_HOME=/opt/spark-java" >> $ENVFILE
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JAVA_VOL="--volume $JAVA:/opt/spark-java"
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fi
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# SPARK-24530: Sphinx must work with python 3 to generate doc correctly.
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echo "SPHINXPYTHON=/opt/p35/bin/python" >> $ENVFILE
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echo "Building $RELEASE_TAG; output will be at $WORKDIR/output"
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docker run -ti \
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--env-file "$ENVFILE" \
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--volume "$WORKDIR:/opt/spark-rm" \
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$JAVA_VOL \
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"spark-rm:$IMGTAG"
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