Publish 3.5.3 to docker registry

.github/workflows/build_3.5.3.yaml

@@ -0,0 +1,43 @@
+#
+# 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.
+#
+
+name: "Build and Test (3.5.3)"
+
+on:
+  pull_request:
+    branches:
+      - 'master'
+    paths:
+      - '3.5.3/**'
+
+jobs:
+  run-build:
+    strategy:
+      matrix:
+        image-type: ["all", "python", "scala", "r"]
+        java: [11, 17]
+    name: Run
+    secrets: inherit
+    uses: ./.github/workflows/main.yml
+    with:
+      spark: 3.5.3
+      scala: 2.12
+      java: ${{ matrix.java }}
+      image-type: ${{ matrix.image-type }}
+

.github/workflows/publish.yml

@@ -25,10 +25,10 @@ on:
       spark:
         description: 'The Spark version of Spark image.'
         required: true
-        default: '3.5.2'
+        default: '3.5.3'
         type: choice
         options:
-        - 3.5.2
+        - 3.5.3
       publish:
         description: 'Publish the image or not.'
         default: false

.github/workflows/test.yml

@@ -25,11 +25,12 @@ on:
       spark:
         description: 'The Spark version of Spark image.'
         required: true
-        default: '3.5.2'
+        default: '3.5.3'
         type: choice
         options:
         - 4.0.0-preview2
         - 4.0.0-preview1
+        - 3.5.3
         - 3.5.2
         - 3.5.1
         - 3.5.0

3.5.3/scala2.12-java11-python3-r-ubuntu/Dockerfile

@@ -0,0 +1,29 @@
+#
+# 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.
+#
+FROM spark:3.5.3-scala2.12-java11-ubuntu
+
+USER root
+
+RUN set -ex; \
+    apt-get update; \
+    apt-get install -y python3 python3-pip; \
+    apt-get install -y r-base r-base-dev; \
+    rm -rf /var/lib/apt/lists/*
+
+ENV R_HOME /usr/lib/R
+
+USER spark

3.5.3/scala2.12-java11-python3-ubuntu/Dockerfile

@@ -0,0 +1,26 @@
+#
+# 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.
+#
+FROM spark:3.5.3-scala2.12-java11-ubuntu
+
+USER root
+
+RUN set -ex; \
+    apt-get update; \
+    apt-get install -y python3 python3-pip; \
+    rm -rf /var/lib/apt/lists/*
+
+USER spark

3.5.3/scala2.12-java11-r-ubuntu/Dockerfile

@@ -0,0 +1,28 @@
+#
+# 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.
+#
+FROM spark:3.5.3-scala2.12-java11-ubuntu
+
+USER root
+
+RUN set -ex; \
+    apt-get update; \
+    apt-get install -y r-base r-base-dev; \
+    rm -rf /var/lib/apt/lists/*
+
+ENV R_HOME /usr/lib/R
+
+USER spark

3.5.3/scala2.12-java11-ubuntu/Dockerfile

@@ -0,0 +1,81 @@
+#
+# 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.
+#
+FROM eclipse-temurin:11-jre-focal
+
+ARG spark_uid=185
+
+RUN groupadd --system --gid=${spark_uid} spark && \
+    useradd --system --uid=${spark_uid} --gid=spark spark
+
+RUN set -ex; \
+    apt-get update; \
+    apt-get install -y gnupg2 wget bash tini libc6 libpam-modules krb5-user libnss3 procps net-tools gosu libnss-wrapper; \
+    mkdir -p /opt/spark; \
+    mkdir /opt/spark/python; \
+    mkdir -p /opt/spark/examples; \
+    mkdir -p /opt/spark/work-dir; \
+    chmod g+w /opt/spark/work-dir; \
+    touch /opt/spark/RELEASE; \
+    chown -R spark:spark /opt/spark; \
+    echo "auth required pam_wheel.so use_uid" >> /etc/pam.d/su; \
+    rm -rf /var/lib/apt/lists/*
+
+# Install Apache Spark
+# https://downloads.apache.org/spark/KEYS
+ENV SPARK_TGZ_URL=https://archive.apache.org/dist/spark/spark-3.5.3/spark-3.5.3-bin-hadoop3.tgz \
+    SPARK_TGZ_ASC_URL=https://archive.apache.org/dist/spark/spark-3.5.3/spark-3.5.3-bin-hadoop3.tgz.asc \
+    GPG_KEY=None
+
+RUN set -ex; \
+    export SPARK_TMP="$(mktemp -d)"; \
+    cd $SPARK_TMP; \
+    wget -nv -O spark.tgz "$SPARK_TGZ_URL"; \
+    wget -nv -O spark.tgz.asc "$SPARK_TGZ_ASC_URL"; \
+    export GNUPGHOME="$(mktemp -d)"; \
+    gpg --batch --keyserver hkps://keys.openpgp.org --recv-key "$GPG_KEY" || \
+    gpg --batch --keyserver hkps://keyserver.ubuntu.com --recv-keys "$GPG_KEY"; \
+    gpg --batch --verify spark.tgz.asc spark.tgz; \
+    gpgconf --kill all; \
+    rm -rf "$GNUPGHOME" spark.tgz.asc; \
+    \
+    tar -xf spark.tgz --strip-components=1; \
+    chown -R spark:spark .; \
+    mv jars /opt/spark/; \
+    mv RELEASE /opt/spark/; \
+    mv bin /opt/spark/; \
+    mv sbin /opt/spark/; \
+    mv kubernetes/dockerfiles/spark/decom.sh /opt/; \
+    mv examples /opt/spark/; \
+    ln -s "$(basename $(ls /opt/spark/examples/jars/spark-examples_*.jar))" /opt/spark/examples/jars/spark-examples.jar; \
+    mv kubernetes/tests /opt/spark/; \
+    mv data /opt/spark/; \
+    mv python/pyspark /opt/spark/python/pyspark/; \
+    mv python/lib /opt/spark/python/lib/; \
+    mv R /opt/spark/; \
+    chmod a+x /opt/decom.sh; \
+    cd ..; \
+    rm -rf "$SPARK_TMP";
+
+COPY entrypoint.sh /opt/
+
+ENV SPARK_HOME /opt/spark
+
+WORKDIR /opt/spark/work-dir
+
+USER spark
+
+ENTRYPOINT [ "/opt/entrypoint.sh" ]

3.5.3/scala2.12-java11-ubuntu/entrypoint.sh

@@ -0,0 +1,130 @@
+#!/bin/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.
+#
+# Prevent any errors from being silently ignored
+set -eo pipefail
+
+attempt_setup_fake_passwd_entry() {
+  # Check whether there is a passwd entry for the container UID
+  local myuid; myuid="$(id -u)"
+  # If there is no passwd entry for the container UID, attempt to fake one
+  # You can also refer to the https://github.com/docker-library/official-images/pull/13089#issuecomment-1534706523
+  # It's to resolve OpenShift random UID case.
+  # See also: https://github.com/docker-library/postgres/pull/448
+  if ! getent passwd "$myuid" &> /dev/null; then
+      local wrapper
+      for wrapper in {/usr,}/lib{/*,}/libnss_wrapper.so; do
+        if [ -s "$wrapper" ]; then
+          NSS_WRAPPER_PASSWD="$(mktemp)"
+          NSS_WRAPPER_GROUP="$(mktemp)"
+          export LD_PRELOAD="$wrapper" NSS_WRAPPER_PASSWD NSS_WRAPPER_GROUP
+          local mygid; mygid="$(id -g)"
+          printf 'spark:x:%s:%s:${SPARK_USER_NAME:-anonymous uid}:%s:/bin/false\n' "$myuid" "$mygid" "$SPARK_HOME" > "$NSS_WRAPPER_PASSWD"
+          printf 'spark:x:%s:\n' "$mygid" > "$NSS_WRAPPER_GROUP"
+          break
+        fi
+      done
+  fi
+}
+
+if [ -z "$JAVA_HOME" ]; then
+  JAVA_HOME=$(java -XshowSettings:properties -version 2>&1 > /dev/null | grep 'java.home' | awk '{print $3}')
+fi
+
+SPARK_CLASSPATH="$SPARK_CLASSPATH:${SPARK_HOME}/jars/*"
+for v in "${!SPARK_JAVA_OPT_@}"; do
+    SPARK_EXECUTOR_JAVA_OPTS+=( "${!v}" )
+done
+
+if [ -n "$SPARK_EXTRA_CLASSPATH" ]; then
+  SPARK_CLASSPATH="$SPARK_CLASSPATH:$SPARK_EXTRA_CLASSPATH"
+fi
+
+if ! [ -z "${PYSPARK_PYTHON+x}" ]; then
+    export PYSPARK_PYTHON
+fi
+if ! [ -z "${PYSPARK_DRIVER_PYTHON+x}" ]; then
+    export PYSPARK_DRIVER_PYTHON
+fi
+
+# If HADOOP_HOME is set and SPARK_DIST_CLASSPATH is not set, set it here so Hadoop jars are available to the executor.
+# It does not set SPARK_DIST_CLASSPATH if already set, to avoid overriding customizations of this value from elsewhere e.g. Docker/K8s.
+if [ -n "${HADOOP_HOME}"  ] && [ -z "${SPARK_DIST_CLASSPATH}"  ]; then
+  export SPARK_DIST_CLASSPATH="$($HADOOP_HOME/bin/hadoop classpath)"
+fi
+
+if ! [ -z "${HADOOP_CONF_DIR+x}" ]; then
+  SPARK_CLASSPATH="$HADOOP_CONF_DIR:$SPARK_CLASSPATH";
+fi
+
+if ! [ -z "${SPARK_CONF_DIR+x}" ]; then
+  SPARK_CLASSPATH="$SPARK_CONF_DIR:$SPARK_CLASSPATH";
+elif ! [ -z "${SPARK_HOME+x}" ]; then
+  SPARK_CLASSPATH="$SPARK_HOME/conf:$SPARK_CLASSPATH";
+fi
+
+# SPARK-43540: add current working directory into executor classpath
+SPARK_CLASSPATH="$SPARK_CLASSPATH:$PWD"
+
+# Switch to spark if no USER specified (root by default) otherwise use USER directly
+switch_spark_if_root() {
+  if [ $(id -u) -eq 0 ]; then
+    echo gosu spark
+  fi
+}
+
+case "$1" in
+  driver)
+    shift 1
+    CMD=(
+      "$SPARK_HOME/bin/spark-submit"
+      --conf "spark.driver.bindAddress=$SPARK_DRIVER_BIND_ADDRESS"
+      --conf "spark.executorEnv.SPARK_DRIVER_POD_IP=$SPARK_DRIVER_BIND_ADDRESS"
+      --deploy-mode client
+      "$@"
+    )
+    attempt_setup_fake_passwd_entry
+    # Execute the container CMD under tini for better hygiene
+    exec $(switch_spark_if_root) /usr/bin/tini -s -- "${CMD[@]}"
+    ;;
+  executor)
+    shift 1
+    CMD=(
+      ${JAVA_HOME}/bin/java
+      "${SPARK_EXECUTOR_JAVA_OPTS[@]}"
+      -Xms"$SPARK_EXECUTOR_MEMORY"
+      -Xmx"$SPARK_EXECUTOR_MEMORY"
+      -cp "$SPARK_CLASSPATH:$SPARK_DIST_CLASSPATH"
+      org.apache.spark.scheduler.cluster.k8s.KubernetesExecutorBackend
+      --driver-url "$SPARK_DRIVER_URL"
+      --executor-id "$SPARK_EXECUTOR_ID"
+      --cores "$SPARK_EXECUTOR_CORES"
+      --app-id "$SPARK_APPLICATION_ID"
+      --hostname "$SPARK_EXECUTOR_POD_IP"
+      --resourceProfileId "$SPARK_RESOURCE_PROFILE_ID"
+      --podName "$SPARK_EXECUTOR_POD_NAME"
+    )
+    attempt_setup_fake_passwd_entry
+    # Execute the container CMD under tini for better hygiene
+    exec $(switch_spark_if_root) /usr/bin/tini -s -- "${CMD[@]}"
+    ;;
+
+  *)
+    # Non-spark-on-k8s command provided, proceeding in pass-through mode...
+    exec "$@"
+    ;;
+esac

3.5.3/scala2.12-java17-python3-r-ubuntu/Dockerfile

@@ -0,0 +1,29 @@
+#
+# 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.
+#
+FROM spark:3.5.3-scala2.12-java17-ubuntu
+
+USER root
+
+RUN set -ex; \
+    apt-get update; \
+    apt-get install -y python3 python3-pip; \
+    apt-get install -y r-base r-base-dev; \
+    rm -rf /var/lib/apt/lists/*
+
+ENV R_HOME /usr/lib/R
+
+USER spark