Guosmilesmile commented on code in PR #15596: URL: https://github.com/apache/iceberg/pull/15596#discussion_r3214357004
########## flink/v2.1/flink/src/test/java/org/apache/iceberg/flink/TestFlinkVariantShreddingType.java: ########## @@ -0,0 +1,851 @@ +/* + * 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.flink; + +import static org.apache.parquet.schema.Types.optional; +import static org.assertj.core.api.Assertions.assertThat; + +import java.io.IOException; +import java.math.BigDecimal; +import java.util.List; +import org.apache.flink.table.data.GenericRowData; +import org.apache.flink.table.data.RowData; +import org.apache.flink.types.Row; +import org.apache.hadoop.conf.Configuration; +import org.apache.iceberg.CombinedScanTask; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.FileScanTask; +import org.apache.iceberg.Parameters; +import org.apache.iceberg.Table; +import org.apache.iceberg.catalog.Namespace; +import org.apache.iceberg.catalog.TableIdentifier; +import org.apache.iceberg.flink.source.DataIterator; +import org.apache.iceberg.flink.source.reader.ReaderUtil; +import org.apache.iceberg.io.CloseableIterable; +import org.apache.iceberg.relocated.com.google.common.base.Preconditions; +import org.apache.iceberg.relocated.com.google.common.collect.Lists; +import org.apache.iceberg.variants.Variant; +import org.apache.parquet.hadoop.ParquetFileReader; +import org.apache.parquet.hadoop.util.HadoopInputFile; +import org.apache.parquet.schema.GroupType; +import org.apache.parquet.schema.LogicalTypeAnnotation; +import org.apache.parquet.schema.MessageType; +import org.apache.parquet.schema.PrimitiveType; +import org.apache.parquet.schema.Type; +import org.junit.jupiter.api.AfterEach; +import org.junit.jupiter.api.BeforeEach; +import org.junit.jupiter.api.TestTemplate; + +class TestFlinkVariantShreddingType extends CatalogTestBase { + + private static final String TABLE_NAME = "test_table"; + private Table icebergTable; + + @Parameters(name = "catalogName={0}, baseNamespace={1}") + protected static List<Object[]> parameters() { + List<Object[]> parameters = Lists.newArrayList(); + parameters.add(new Object[] {"testhadoop", Namespace.empty()}); + parameters.add(new Object[] {"testhadoop_basenamespace", Namespace.of("l0", "l1")}); + return parameters; + } + + @Override + @BeforeEach + public void before() { + super.before(); + sql("CREATE DATABASE %s", flinkDatabase); + sql("USE CATALOG %s", catalogName); + sql("USE %s", DATABASE); + sql( + "CREATE TABLE %s (id int NOT NULL, address variant NOT NULL) with ('write.format.default'='%s','format-version'='3','parquet-shred-variants'='true','parquet-variant-inference-buffer-size'='10')", + TABLE_NAME, FileFormat.PARQUET.name()); + icebergTable = validationCatalog.loadTable(TableIdentifier.of(icebergNamespace, TABLE_NAME)); + } + + @Override + @AfterEach + public void clean() { + super.clean(); + getTableEnv() + .getConfig() + .getConfiguration() + .setString("table.exec.resource.default-parallelism", "4"); + } + + @TestTemplate + public void testExcludingNullValue() throws IOException { + String values = + "(1, parse_json('{\"name\": \"Alice\", \"age\": 30, \"dummy\": null}'))," + + " (2, parse_json('{\"name\": \"Bob\", \"age\": 25}'))," + + " (3, parse_json('{\"name\": \"Charlie\", \"age\": 35}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType name = + field( + "name", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.BINARY, LogicalTypeAnnotation.stringType())); + GroupType age = + field( + "age", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT32, LogicalTypeAnnotation.intType(8, true))); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(age, name)); + MessageType expectedSchema = parquetSchema(address); + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testConsistentType() throws IOException { + String values = + "(1, parse_json('{\"age\": \"25\"}'))," + + " (2, parse_json('{\"age\": 30}'))," + + " (3, parse_json('{\"age\": \"35\"}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType age = + field( + "age", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.BINARY, LogicalTypeAnnotation.stringType())); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(age)); + MessageType expectedSchema = parquetSchema(address); + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testPrimitiveType() throws IOException { + String values = "(1, parse_json('123')), (2, parse_json('\"abc\"')), (3, parse_json('12'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType address = + variant( + "address", + 2, + Type.Repetition.REQUIRED, + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT32, LogicalTypeAnnotation.intType(8, true))); + MessageType expectedSchema = parquetSchema(address); + + assertThat(SimpleDataUtil.tableRecords(icebergTable)).hasSize(3); + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testPrimitiveDecimalType() throws IOException { + String values = + "(1, parse_json('123.56')), (2, parse_json('\"abc\"')), (3, parse_json('12.56'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType address = + variant( + "address", + 2, + Type.Repetition.REQUIRED, + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT32, LogicalTypeAnnotation.decimalType(2, 5))); + MessageType expectedSchema = parquetSchema(address); + assertThat(SimpleDataUtil.tableRecords(icebergTable)).hasSize(3); + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testBooleanType() throws IOException { + String values = + "(1, parse_json('{\"active\": true}'))," + + " (2, parse_json('{\"active\": false}'))," + + " (3, parse_json('{\"active\": true}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType active = field("active", shreddedPrimitive(PrimitiveType.PrimitiveTypeName.BOOLEAN)); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(active)); + MessageType expectedSchema = parquetSchema(address); + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testDecimalTypeWithInconsistentScales() throws IOException { + String values = + "(1, parse_json('{\"price\": 123.456789}'))," + + " (2, parse_json('{\"price\": 678.90}'))," + + " (3, parse_json('{\"price\": 999.99}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType price = + field( + "price", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT32, LogicalTypeAnnotation.decimalType(6, 9))); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(price)); + MessageType expectedSchema = parquetSchema(address); + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testDecimalTypeWithConsistentScales() throws IOException { + String values = + "(1, parse_json('{\"price\": 123.45}'))," + + " (2, parse_json('{\"price\": 678.90}'))," + + " (3, parse_json('{\"price\": 999.99}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType price = + field( + "price", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT32, LogicalTypeAnnotation.decimalType(2, 5))); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(price)); + MessageType expectedSchema = parquetSchema(address); + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testArrayType() throws IOException { + String values = + "(1, parse_json('[\"java\", \"scala\", \"python\"]'))," + + " (2, parse_json('[\"rust\", \"go\"]'))," + + " (3, parse_json('[\"javascript\"]'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType arr = + list( + element( + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.BINARY, LogicalTypeAnnotation.stringType()))); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, arr); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testNestedArrayType() throws IOException { + + String values = + "(1, parse_json('{\"tags\": [\"java\", \"scala\", \"python\"]}'))," + + " (2, parse_json('{\"tags\": [\"rust\", \"go\"]}'))," + + " (3, parse_json('{\"tags\": [\"javascript\"]}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType tags = + field( + "tags", + list( + element( + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.BINARY, + LogicalTypeAnnotation.stringType())))); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(tags)); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testNestedObjectType() throws IOException { + + String values = + "(1, parse_json('{\"location\": {\"city\": \"Seattle\", \"zip\": 98101}, \"tags\": [\"java\", \"scala\", \"python\"]}'))," + + " (2, parse_json('{\"location\": {\"city\": \"Portland\", \"zip\": 97201}}'))," + + " (3, parse_json('{\"location\": {\"city\": \"NYC\", \"zip\": 10001}}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType city = + field( + "city", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.BINARY, LogicalTypeAnnotation.stringType())); + GroupType zip = + field( + "zip", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT32, LogicalTypeAnnotation.intType(32, true))); + GroupType location = field("location", objectFields(city, zip)); + GroupType tags = + field( + "tags", + list( + element( + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.BINARY, + LogicalTypeAnnotation.stringType())))); + + GroupType address = + variant("address", 2, Type.Repetition.REQUIRED, objectFields(location, tags)); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testLazyInitializationWithBufferedRows() throws IOException { + + String values = + "(1, parse_json('{\"name\": \"Alice\", \"age\": 30}'))," + + " (2, parse_json('{\"name\": \"Bob\", \"age\": 25}'))," + + " (3, parse_json('{\"name\": \"Charlie\", \"age\": 35}'))," + + " (4, parse_json('{\"name\": \"David\", \"age\": 28}'))," + + " (5, parse_json('{\"name\": \"Eve\", \"age\": 32}'))," + + " (6, parse_json('{\"name\": \"Frank\", \"age\": 40}'))," + + " (7, parse_json('{\"name\": \"Grace\", \"age\": 27}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType name = + field( + "name", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.BINARY, LogicalTypeAnnotation.stringType())); + GroupType age = + field( + "age", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT32, LogicalTypeAnnotation.intType(8, true))); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(age, name)); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + assertThat(genericRowData()).hasSize(7); + } + + @TestTemplate + public void testColumnIndexTruncateLength() throws IOException { + sql("ALTER TABLE %s SET('parquet-variant-inference-buffer-size'='3')", TABLE_NAME); + + int customTruncateLength = 10; + sql( + "ALTER TABLE %s SET ('%s'='%d')", + TABLE_NAME, "parquet.columnindex.truncate.length", customTruncateLength); + + StringBuilder valuesBuilder = new StringBuilder(); + for (int i = 1; i <= 10; i++) { + if (i > 1) { + valuesBuilder.append(", "); + } + + String longValue = "A".repeat(20); + valuesBuilder.append( + String.format( + "(%d, parse_json('{\"description\": \"%s\", \"id\": %d}'))", i, longValue, i)); + } + sql("INSERT INTO %s VALUES %s", TABLE_NAME, valuesBuilder.toString()); + + GroupType description = + field( + "description", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.BINARY, LogicalTypeAnnotation.stringType())); + GroupType id = + field( + "id", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT32, LogicalTypeAnnotation.intType(8, true))); + GroupType address = + variant("address", 2, Type.Repetition.REQUIRED, objectFields(description, id)); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + assertThat(genericRowData()).hasSize(10); + } + + @TestTemplate + public void testIntegerFamilyPromotion() throws IOException { + + // Mix of INT8, INT16, INT32, INT64 - should promote to INT64 + String values = + "(1, parse_json('{\"value\": 10}'))," + + " (2, parse_json('{\"value\": 1000}'))," + + " (3, parse_json('{\"value\": 100000}'))," + + " (4, parse_json('{\"value\": 10000000000}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType value = + field( + "value", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT64, LogicalTypeAnnotation.intType(64, true))); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(value)); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testDecimalFamilyPromotion() throws IOException { + + // Test that they get promoted to the most capable decimal type observed + String values = + "(1, parse_json('{\"value\": 1.5}'))," + + " (2, parse_json('{\"value\": 123.456789}'))," + + " (3, parse_json('{\"value\": 123456789123456.789}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType value = + field( + "value", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.FIXED_LEN_BYTE_ARRAY, + 16, + LogicalTypeAnnotation.decimalType(6, 21))); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(value)); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testDataRoundTripWithShredding() throws IOException { + String values = + "(1, parse_json('{\"name\": \"Alice\", \"age\": 30}'))," + + " (2, parse_json('{\"name\": \"Bob\", \"age\": 25}'))," + + " (3, parse_json('{\"name\": \"Charlie\", \"age\": 35}'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType name = + field( + "name", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.BINARY, LogicalTypeAnnotation.stringType())); + GroupType age = + field( + "age", + shreddedPrimitive( + PrimitiveType.PrimitiveTypeName.INT32, LogicalTypeAnnotation.intType(8, true))); + GroupType address = variant("address", 2, Type.Repetition.REQUIRED, objectFields(age, name)); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + + // Verify that we can read the data back correctly + List<Row> rows = + sql( + "SELECT id, JSON_VALUE(address, '$.name')," + + " JSON_VALUE(address, '$.age' RETURNING int)" + + " FROM %s ORDER BY id", + TABLE_NAME); + assertThat(rows).hasSize(3); + assertThat(rows.get(0).getField(0)).isEqualTo(1); + assertThat(rows.get(0).getField(1)).isEqualTo("Alice"); + assertThat(rows.get(0).getField(2)).isEqualTo(30); + assertThat(rows.get(1).getField(0)).isEqualTo(2); + assertThat(rows.get(1).getField(1)).isEqualTo("Bob"); + assertThat(rows.get(1).getField(2)).isEqualTo(25); + assertThat(rows.get(2).getField(0)).isEqualTo(3); + assertThat(rows.get(2).getField(1)).isEqualTo("Charlie"); + assertThat(rows.get(2).getField(2)).isEqualTo(35); + } + + @TestTemplate + public void testVariantWithNullValues() throws IOException { + + String values = + "(1, parse_json('null'))," + " (2, parse_json('null'))," + " (3, parse_json('null'))"; + sql("INSERT INTO %s VALUES %s", TABLE_NAME, values); + + GroupType address = variant("address", 2, Type.Repetition.REQUIRED); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testArrayOfNullElementsWithShredding() throws IOException { + + sql( + "INSERT INTO %s VALUES (1, parse_json('[null, null, null]')), " + + "(2, parse_json('[null]'))", + TABLE_NAME); + + // Array elements are all null, element type is null, falls back to unshredded + GroupType address = variant("address", 2, Type.Repetition.REQUIRED); + MessageType expectedSchema = parquetSchema(address); + + verifyParquetSchema(icebergTable, expectedSchema); + } + + @TestTemplate + public void testInfrequentFieldPruning() throws IOException { Review Comment: Good point. 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