rdblue commented on code in PR #13219: URL: https://github.com/apache/iceberg/pull/13219#discussion_r2229607321
########## spark/v4.0/spark/src/test/java/org/apache/iceberg/spark/data/TestSparkVariants.java: ########## @@ -0,0 +1,238 @@ +/* + * 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 static org.assertj.core.api.Assertions.assertThat; + +import java.nio.ByteBuffer; +import java.nio.ByteOrder; +import java.util.UUID; +import org.apache.iceberg.spark.TestBase; +import org.apache.iceberg.types.Types; +import org.apache.iceberg.variants.ShreddedObject; +import org.apache.iceberg.variants.ValueArray; +import org.apache.iceberg.variants.Variant; +import org.apache.iceberg.variants.VariantMetadata; +import org.apache.iceberg.variants.VariantValue; +import org.apache.iceberg.variants.Variants; +import org.apache.spark.sql.types.VariantType$; +import org.apache.spark.unsafe.types.VariantVal; +import org.junit.jupiter.api.Test; + +public class TestSparkVariants extends TestBase { + + @Test + public void testIcebergVariantTypeToSparkVariantType() { + // Test that Iceberg's VariantType converts to Spark's VariantType + Types.VariantType icebergVariantType = Types.VariantType.get(); + + // This would be done by TypeToSparkType converter + // For now, we just verify the types exist and can be referenced + assertThat(icebergVariantType).isNotNull(); + assertThat(VariantType$.MODULE$).isNotNull(); + } + + @Test + public void testSparkVariantTypeToIcebergVariantType() { + // Test that Spark's VariantType converts to Iceberg's VariantType + org.apache.spark.sql.types.DataType sparkVariantType = VariantType$.MODULE$; + + // This would be done by SparkTypeToType converter + // For now, we just verify the types exist and can be referenced + assertThat(sparkVariantType).isNotNull(); + assertThat(Types.VariantType.get()).isNotNull(); + } + + @Test + public void testVariantValueSerialization() { + // Test that Iceberg Variant can be serialized to bytes that are compatible with Spark's + // VariantVal + VariantMetadata metadata = Variants.emptyMetadata(); + VariantValue stringValue = Variants.of("test"); + Variant variant = Variant.of(metadata, stringValue); + + // Serialize the variant + ByteBuffer metadataBuffer = + ByteBuffer.allocate(metadata.sizeInBytes()).order(ByteOrder.LITTLE_ENDIAN); + metadata.writeTo(metadataBuffer, 0); + + ByteBuffer valueBuffer = + ByteBuffer.allocate(stringValue.sizeInBytes()).order(ByteOrder.LITTLE_ENDIAN); + stringValue.writeTo(valueBuffer, 0); + + // Verify serialization worked - the writeTo method doesn't change buffer position + // Instead, verify that the data was written correctly by checking the buffer contents + assertThat(metadataBuffer.array().length).isEqualTo(metadata.sizeInBytes()); + assertThat(valueBuffer.array().length).isEqualTo(stringValue.sizeInBytes()); + + // Test that we can create a VariantVal from the serialized bytes + byte[] metadataBytes = metadataBuffer.array(); + byte[] valueBytes = valueBuffer.array(); + + // This tests the integration point - Spark VariantVal should be able to use these bytes + VariantVal sparkVariant = new VariantVal(valueBytes, metadataBytes); + assertThat(sparkVariant).isNotNull(); + } + + @Test + public void testVariantPrimitiveRoundTrip() { + // Test various primitive types + testPrimitiveVariant(Variants.ofNull(), null); + testPrimitiveVariant(Variants.of(true), true); + testPrimitiveVariant(Variants.of(false), false); + testPrimitiveVariant(Variants.of((byte) 42), (byte) 42); + testPrimitiveVariant(Variants.of((short) 1000), (short) 1000); + testPrimitiveVariant(Variants.of(123456), 123456); + testPrimitiveVariant(Variants.of(123456789L), 123456789L); + testPrimitiveVariant(Variants.of(3.14f), 3.14f); + testPrimitiveVariant(Variants.of(2.71828), 2.71828); + testPrimitiveVariant(Variants.of("hello world"), "hello world"); + } + + @Test + public void testVariantArrayRoundTrip() { + VariantMetadata metadata = Variants.emptyMetadata(); + ValueArray array = Variants.array(); + array.add(Variants.of("hello")); + array.add(Variants.of(42)); + array.add(Variants.ofNull()); + + testVariantRoundTrip(metadata, array); + } + + @Test + public void testVariantObjectRoundTrip() { + VariantMetadata metadata = Variants.metadata("name", "age", "active"); + ShreddedObject object = Variants.object(metadata); + object.put("name", Variants.of("John Doe")); + object.put("age", Variants.of(30)); + object.put("active", Variants.of(true)); + + testVariantRoundTrip(metadata, object); + } + + @Test + public void testVariantNestedStructures() { + VariantMetadata metadata = Variants.metadata("user", "scores", "address", "city", "state"); + + // Create nested object: address + ShreddedObject address = Variants.object(metadata); + address.put("city", Variants.of("Anytown")); + address.put("state", Variants.of("CA")); + + // Create array of scores + ValueArray scores = Variants.array(); + scores.add(Variants.of(95)); + scores.add(Variants.of(87)); + scores.add(Variants.of(92)); + + // Create main object + ShreddedObject mainObject = Variants.object(metadata); + mainObject.put("user", Variants.of("Jane")); + mainObject.put("scores", scores); + mainObject.put("address", address); + + testVariantRoundTrip(metadata, mainObject); + } + + @Test + public void testVariantDateTimeTypes() { + // Test date/time variants + // Calculate the correct day offset for 2024-01-15 + testPrimitiveVariant(Variants.ofIsoDate("2024-01-15"), 19737); // days since epoch (corrected) + testPrimitiveVariant(Variants.ofIsoTimestamptz("2024-01-15T10:30:00Z"), 1705314600000000L); + testPrimitiveVariant(Variants.ofIsoTimestampntz("2024-01-15T10:30:00"), 1705314600000000L); + testPrimitiveVariant(Variants.ofIsoTime("10:30:00"), 37800000000L); + } + + @Test + public void testVariantBinaryAndUUID() { + // Test binary and UUID variants + byte[] binaryData = {1, 2, 3, 4, 5}; + testPrimitiveVariant(Variants.of(ByteBuffer.wrap(binaryData)), ByteBuffer.wrap(binaryData)); + + UUID uuid = UUID.randomUUID(); + testPrimitiveVariant(Variants.ofUUID(uuid), uuid); + } + + @Test + public void testUnsupportedOperations() { + // Test that basic operations work + // This tests the current state where Spark integration is not fully implemented + + // These tests document the current behavior and should be updated + // when full Spark integration is implemented + + // This should not throw - just verify the classes exist and basic operations work + VariantVal sparkVariant = new VariantVal(new byte[] {0}, new byte[] {1, 0}); + assertThat(sparkVariant.toString()).isNotNull(); // Should not throw Review Comment: This uses Spark's `Variant` class that does work with the variant data because it converts to JSON, but I think it would be better to have tests that check the variant structure and values are correct, rather than just asserting that the structure can be converted to JSON. -- This is an automated message from the Apache Git Service. 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