rdblue commented on code in PR #9466: URL: https://github.com/apache/iceberg/pull/9466#discussion_r1475293311
########## kafka-connect/kafka-connect/src/main/java/org/apache/iceberg/connect/data/SchemaUtils.java: ########## @@ -0,0 +1,375 @@ +/* + * 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.connect.data; + +import static java.util.stream.Collectors.toList; + +import java.math.BigDecimal; +import java.time.LocalDate; +import java.time.LocalDateTime; +import java.time.LocalTime; +import java.time.OffsetDateTime; +import java.util.List; +import java.util.Map; +import java.util.Objects; +import java.util.Optional; +import java.util.regex.Matcher; +import java.util.regex.Pattern; +import org.apache.iceberg.PartitionSpec; +import org.apache.iceberg.Table; +import org.apache.iceberg.UpdateSchema; +import org.apache.iceberg.connect.IcebergSinkConfig; +import org.apache.iceberg.connect.data.SchemaUpdate.AddColumn; +import org.apache.iceberg.connect.data.SchemaUpdate.MakeOptional; +import org.apache.iceberg.connect.data.SchemaUpdate.UpdateType; +import org.apache.iceberg.relocated.com.google.common.base.Splitter; +import org.apache.iceberg.types.Type; +import org.apache.iceberg.types.Type.PrimitiveType; +import org.apache.iceberg.types.Type.TypeID; +import org.apache.iceberg.types.Types.BinaryType; +import org.apache.iceberg.types.Types.BooleanType; +import org.apache.iceberg.types.Types.DateType; +import org.apache.iceberg.types.Types.DecimalType; +import org.apache.iceberg.types.Types.DoubleType; +import org.apache.iceberg.types.Types.FloatType; +import org.apache.iceberg.types.Types.IntegerType; +import org.apache.iceberg.types.Types.ListType; +import org.apache.iceberg.types.Types.LongType; +import org.apache.iceberg.types.Types.MapType; +import org.apache.iceberg.types.Types.NestedField; +import org.apache.iceberg.types.Types.StringType; +import org.apache.iceberg.types.Types.StructType; +import org.apache.iceberg.types.Types.TimeType; +import org.apache.iceberg.types.Types.TimestampType; +import org.apache.iceberg.util.Pair; +import org.apache.iceberg.util.Tasks; +import org.apache.kafka.connect.data.Date; +import org.apache.kafka.connect.data.Decimal; +import org.apache.kafka.connect.data.Schema; +import org.apache.kafka.connect.data.Time; +import org.apache.kafka.connect.data.Timestamp; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +public class SchemaUtils { + + private static final Logger LOG = LoggerFactory.getLogger(SchemaUtils.class); + + private static final Pattern TRANSFORM_REGEX = Pattern.compile("(\\w+)\\((.+)\\)"); + + public static PrimitiveType needsDataTypeUpdate(Type currentIcebergType, Schema valueSchema) { + if (currentIcebergType.typeId() == TypeID.FLOAT && valueSchema.type() == Schema.Type.FLOAT64) { + return DoubleType.get(); + } + if (currentIcebergType.typeId() == TypeID.INTEGER && valueSchema.type() == Schema.Type.INT64) { + return LongType.get(); + } + return null; + } + + public static void applySchemaUpdates(Table table, SchemaUpdate.Consumer updates) { + if (updates == null || updates.empty()) { + // no updates to apply + return; + } + + Tasks.range(1) + .retry(IcebergSinkConfig.SCHEMA_UPDATE_RETRIES) + .run(notUsed -> commitSchemaUpdates(table, updates)); + } + + private static void commitSchemaUpdates(Table table, SchemaUpdate.Consumer updates) { + // get the latest schema in case another process updated it + table.refresh(); + + // filter out columns that have already been added + List<AddColumn> addColumns = + updates.addColumns().stream() + .filter(addCol -> !columnExists(table.schema(), addCol)) + .collect(toList()); + + // filter out columns that have the updated type + List<UpdateType> updateTypes = + updates.updateTypes().stream() + .filter(updateType -> !typeMatches(table.schema(), updateType)) + .collect(toList()); + + // filter out columns that have already been made optional + List<MakeOptional> makeOptionals = + updates.makeOptionals().stream() + .filter(makeOptional -> !isOptional(table.schema(), makeOptional)) + .collect(toList()); + + if (addColumns.isEmpty() && updateTypes.isEmpty() && makeOptionals.isEmpty()) { + // no updates to apply + LOG.info("Schema for table {} already up-to-date", table.name()); + return; + } + + // apply the updates + UpdateSchema updateSchema = table.updateSchema(); + addColumns.forEach( + update -> updateSchema.addColumn(update.parentName(), update.name(), update.type())); + updateTypes.forEach(update -> updateSchema.updateColumn(update.name(), update.type())); + makeOptionals.forEach(update -> updateSchema.makeColumnOptional(update.name())); + updateSchema.commit(); Review Comment: Minor: this whole method can be retried since it calls `refresh` at the start. -- This is an automated message from the Apache Git Service. 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