nsivabalan commented on code in PR #8010: URL: https://github.com/apache/hudi/pull/8010#discussion_r1122335452
########## hudi-utilities/src/test/java/org/apache/hudi/utilities/testutils/SanitizationTestBase.java: ########## @@ -0,0 +1,197 @@ +/* + * 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.hudi.utilities.testutils; + +import org.apache.hudi.avro.HoodieAvroUtils; +import org.apache.hudi.utilities.deltastreamer.TestSourceFormatAdapter; + +import org.apache.avro.Schema; +import org.apache.avro.SchemaBuilder; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.sql.SparkSession; +import org.apache.spark.sql.types.ArrayType; +import org.apache.spark.sql.types.DataTypes; +import org.apache.spark.sql.types.MapType; +import org.apache.spark.sql.types.Metadata; +import org.apache.spark.sql.types.StructField; +import org.apache.spark.sql.types.StructType; +import org.junit.jupiter.api.AfterAll; +import org.junit.jupiter.api.BeforeAll; +import org.junit.jupiter.params.provider.Arguments; + +import java.util.stream.Stream; + +public class SanitizationTestBase { Review Comment: I see all the methods here are static. So, may not be right choice to make it a base class. lets make it SanitizationTestUtils static class and move these there. ########## hudi-utilities/src/test/java/org/apache/hudi/utilities/sources/helpers/TestSanitizaitonUtils.java: ########## @@ -0,0 +1,83 @@ +/* + * 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.hudi.utilities.sources.helpers; + +import org.apache.hudi.common.fs.FSUtils; +import org.apache.hudi.common.util.FileIOUtils; +import org.apache.hudi.exception.HoodieIOException; +import org.apache.hudi.utilities.testutils.SanitizationTestBase; + +import org.apache.avro.Schema; +import org.apache.hadoop.fs.FSDataInputStream; +import org.apache.hadoop.fs.FileSystem; +import org.apache.hadoop.fs.Path; +import org.apache.spark.sql.Dataset; +import org.apache.spark.sql.Row; +import org.apache.spark.sql.types.StructType; +import org.junit.jupiter.api.Test; +import org.junit.jupiter.params.ParameterizedTest; +import org.junit.jupiter.params.provider.MethodSource; + +import java.io.IOException; + +import static org.junit.jupiter.api.Assertions.assertEquals; + +public class TestSanitizaitonUtils extends SanitizationTestBase { + + @ParameterizedTest + @MethodSource("provideDataFiles") + public void testSanitizeDataset(String unsanitizedDataFile, String sanitizedDataFile, StructType unsanitizedSchema, StructType sanitizedSchema) { + Dataset<Row> expectedSantitizedDataset = spark.read().schema(sanitizedSchema).format("json").load(sanitizedDataFile); + Dataset<Row> unsanitizedDataset = spark.read().schema(unsanitizedSchema).format("json").load(unsanitizedDataFile); + Dataset<Row> sanitizedDataset = SanitizationUtils.sanitizeColumnNamesForAvro(unsanitizedDataset,invalidCharMask); + assertEquals(unsanitizedDataset.count(), sanitizedDataset.count()); + assertEquals(expectedSantitizedDataset.schema(), sanitizedDataset.schema()); + assertEquals(expectedSantitizedDataset.collectAsList(), sanitizedDataset.collectAsList()); + } + + private void testSanitizeSchema(String unsanitizedSchema, Schema expectedSanitizedSchema) { + Schema sanitizedSchema = SanitizationUtils.parseAvroSchema(unsanitizedSchema, true, invalidCharMask); + assertEquals(sanitizedSchema, expectedSanitizedSchema); + } + + @Test + public void testGoodAvroSchema() { + String goodJson = getJson("src/test/resources/delta-streamer-config/file_schema_provider_valid.avsc"); + testSanitizeSchema(goodJson,generateProperFormattedSchema()); + } + + @Test + public void testBadAvroSchema() { + String badJson = getJson("src/test/resources/delta-streamer-config/file_schema_provider_invalid.avsc"); Review Comment: can we also test if sanitization is not enable and if bad schema is passed, exception is thrown -- This is an automated message from the Apache Git Service. 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