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https://issues.apache.org/jira/browse/ARROW-1579?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16345872#comment-16345872
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ASF GitHub Bot commented on ARROW-1579:
---------------------------------------
BryanCutler commented on a change in pull request #1319: [WIP] ARROW-1579:
[Java] Adding containerized Spark Integration tests
URL: https://github.com/apache/arrow/pull/1319#discussion_r164890683
##########
File path: dev/spark_integration/spark_integration.sh
##########
@@ -0,0 +1,106 @@
+#!/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.
+#
+
+# Set up environment and working directory
+cd /apache-arrow
+
+export ARROW_BUILD_TYPE=release
+export ARROW_HOME=$(pwd)/arrow
+CONDA_BASE=/home/ubuntu/miniconda
+export LD_LIBRARY_PATH=${ARROW_HOME}/lib:${CONDA_BASE}/lib:${LD_LIBRARY_PATH}
+export PYTHONPATH=${ARROW_HOME}/python:${PYTHONPATH}
+export MAVEN_OPTS="-Xmx2g -XX:ReservedCodeCacheSize=512m"
+
+# Activate our pyarrow-dev conda env
+source activate pyarrow-dev
+
+# Build arrow-cpp and install
+pushd arrow/cpp
+rm -rf build/*
+mkdir -p build
+cd build/
+cmake -DARROW_PYTHON=on -DARROW_HDFS=on -DCMAKE_BUILD_TYPE=Release
-DCMAKE_INSTALL_PREFIX=$ARROW_HOME ..
+make -j4
+if [[ $? -ne 0 ]]; then
+ exit 1
+fi
+make install
+popd
+
+# Build pyarrow and install inplace
+pushd arrow/python
+python setup.py clean
+python setup.py build_ext --build-type=release --inplace
+if [[ $? -ne 0 ]]; then
+ exit 1
+fi
+popd
+
+# Install Arrow to local maven repo and get the version
+pushd arrow/java
+echo "Building and installing Arrow Java"
+mvn -DskipTests -Drat.skip=true clean install
+ARROW_VERSION=`mvn org.apache.maven.plugins:maven-help-plugin:2.1.1:evaluate
-Dexpression=project.version | sed -n -e '/^\[.*\]/ !{ /^[0-9]/ { p; q } }'`
+echo "Using Arrow version $ARROW_VERSION"
+popd
+
+# Build Spark with Arrow
+SPARK_REPO=https://github.com/apache/spark.git
Review comment:
Thanks @felixcheung ! Yeah, it would probably be best to use Apache, I'll
change it
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> [Java] Add dockerized test setup to validate Spark integration
> --------------------------------------------------------------
>
> Key: ARROW-1579
> URL: https://issues.apache.org/jira/browse/ARROW-1579
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Java - Vectors
> Reporter: Wes McKinney
> Assignee: Bryan Cutler
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> cc [~bryanc] -- the goal of this will be to validate master-to-master to
> catch any regressions in the Spark integration
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