[GitHub] [incubator-iceberg] rdsr commented on a change in pull request #843: InputFormat support for Iceberg

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rdsr commented on a change in pull request #843: InputFormat support for Iceberg
URL: https://github.com/apache/incubator-iceberg/pull/843#discussion_r402075912
 
 

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 File path: mr/src/test/java/org/apache/iceberg/mr/TestIcebergInputFormat.java
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+/*
+ * 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.
+ */
+
+package org.apache.iceberg.mr;
+
+import com.google.common.collect.FluentIterable;
+import com.google.common.collect.ImmutableMap;
+import java.io.File;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Locale;
+import java.util.function.Function;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.mapreduce.InputSplit;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.RecordReader;
+import org.apache.hadoop.mapreduce.TaskAttemptContext;
+import org.apache.hadoop.mapreduce.TaskAttemptID;
+import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl;
+import org.apache.iceberg.DataFile;
+import org.apache.iceberg.DataFiles;
+import org.apache.iceberg.FileFormat;
+import org.apache.iceberg.Files;
+import org.apache.iceberg.PartitionSpec;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.StructLike;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.TableProperties;
+import org.apache.iceberg.TestHelpers.Row;
+import org.apache.iceberg.avro.Avro;
+import org.apache.iceberg.catalog.Catalog;
+import org.apache.iceberg.catalog.TableIdentifier;
+import org.apache.iceberg.data.RandomGenericData;
+import org.apache.iceberg.data.Record;
+import org.apache.iceberg.data.avro.DataWriter;
+import org.apache.iceberg.data.parquet.GenericParquetWriter;
+import org.apache.iceberg.hadoop.HadoopCatalog;
+import org.apache.iceberg.hadoop.HadoopTables;
+import org.apache.iceberg.io.FileAppender;
+import org.apache.iceberg.parquet.Parquet;
+import org.apache.iceberg.types.Types;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Rule;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+import org.junit.runner.RunWith;
+import org.junit.runners.Parameterized;
+
+import static org.apache.iceberg.types.Types.NestedField.required;
+
+
+@RunWith(Parameterized.class)
+public class TestIcebergInputFormat {
 
 Review comment:
   I tried writing a test with DFS and Mini MR cluster. I'm facing class-path issues particularly with Guava. Any suggestions on how to go about it? I was thinking maybe we can have an integration testing module per  framework. For example for MR we'd have `mr-runtime` module which would be shaded. Now to test MR we could have a `mr-runtime-test` module which can setup DFS and MR clusters. Since mr runtime would be shaded completely there wouldn't be any classpath issues
   I've added more unit tests though.

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