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https://issues.apache.org/jira/browse/ARROW-1579?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16359572#comment-16359572
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ASF GitHub Bot commented on ARROW-1579:
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xhochy 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_r167406938
##########
File path: dev/spark_integration/spark_integration.sh
##########
@@ -0,0 +1,107 @@
+#!/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
Review comment:
Call `set -e` here, then a command failure in the script will lead to a
failure of the whole script. Then you can get rid of the `if [[ $? -ne 0 ]];
then` blocks later on
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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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