RussellSpitzer commented on a change in pull request #3723: URL: https://github.com/apache/iceberg/pull/3723#discussion_r770983167
########## File path: spark/v3.2/spark/src/test/java/org/apache/iceberg/spark/data/TestParquetReader.java ########## @@ -0,0 +1,140 @@ +/* + * 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.spark.data; + +import java.io.File; +import java.io.FilenameFilter; +import java.io.IOException; +import java.util.Arrays; +import java.util.Collections; +import java.util.List; +import java.util.Objects; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.fs.Path; +import org.apache.iceberg.Files; +import org.apache.iceberg.Schema; +import org.apache.iceberg.io.CloseableIterable; +import org.apache.iceberg.mapping.MappingUtil; +import org.apache.iceberg.parquet.Parquet; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.spark.SparkSchemaUtil; +import org.apache.parquet.hadoop.ParquetFileReader; +import org.apache.parquet.hadoop.util.HadoopInputFile; +import org.apache.parquet.schema.MessageType; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.sql.SaveMode; +import org.apache.spark.sql.SparkSession; +import org.apache.spark.sql.catalyst.InternalRow; +import org.apache.spark.sql.types.ArrayType; +import org.apache.spark.sql.types.DataTypes; +import org.apache.spark.sql.types.Metadata; +import org.apache.spark.sql.types.StructField; +import org.apache.spark.sql.types.StructType; +import org.junit.AfterClass; +import org.junit.Assert; +import org.junit.BeforeClass; +import org.junit.Rule; +import org.junit.Test; +import org.junit.rules.TemporaryFolder; + +public class TestParquetReader { + private static SparkSession spark = null; + + @Rule + public TemporaryFolder temp = new TemporaryFolder(); + + @BeforeClass + public static void startSpark() { + TestParquetReader.spark = SparkSession.builder().master("local[2]") + .config("spark.sql.parquet.writeLegacyFormat", true) + .getOrCreate(); + } + + @AfterClass + public static void stopSpark() { + SparkSession currentSpark = TestParquetReader.spark; + TestParquetReader.spark = null; + currentSpark.stop(); + } + + @Test + public void testHiveStyleThreeLevelList() throws IOException { + File location = new File(temp.getRoot(), "parquetReaderTest"); + StructType sparkSchema = + new StructType( + new StructField[]{ + new StructField( + "col1", new ArrayType( + new StructType( + new StructField[]{ + new StructField( + "col2", + DataTypes.IntegerType, + false, + Metadata.empty()) + }), true), true, Metadata.empty())}); + + String expectedParquetSchema = + "message spark_schema {\n" + + " optional group col1 (LIST) {\n" + + " repeated group bag {\n" + + " optional group array {\n" + + " required int32 col2;\n" + + " }\n" + + " }\n" + + " }\n" + + "}\n"; + + + // generate parquet file with required schema + List<String> testData = Collections.singletonList("{\"col1\": [{\"col2\": 1}]}"); + spark.read().schema(sparkSchema).json( + JavaSparkContext.fromSparkContext(spark.sparkContext()).parallelize(testData)) + .coalesce(1).write().format("parquet").mode(SaveMode.Append).save(location.getPath()); + + File parquetFile = Arrays.stream(Objects.requireNonNull(location.listFiles(new FilenameFilter() { + @Override + public boolean accept(File dir, String name) { + return name.endsWith("parquet"); + } + }))).findAny().get(); + + // verify generated parquet file has expected schema + ParquetFileReader pqReader = ParquetFileReader.open( + HadoopInputFile.fromPath(new Path(parquetFile.getPath()), new Configuration())); + MessageType schema = pqReader.getFooter().getFileMetaData().getSchema(); + Assert.assertEquals(expectedParquetSchema, schema.toString()); + + // read from Iceberg's parquet reader and ensure data is read correctly into Spark's internal row + Schema icebergSchema = SparkSchemaUtil.convert(sparkSchema); Review comment: We should also have the low level tests in TestParquetSchemaUtil.java -- This is an automated message from the Apache Git Service. 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