rdblue commented on code in PR #5120: URL: https://github.com/apache/iceberg/pull/5120#discussion_r915210643
########## flink/v1.15/flink/src/main/java/org/apache/iceberg/flink/sink/PartitionTransformUdf.java: ########## @@ -0,0 +1,159 @@ +/* + * 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 Licenet ideajoinet ideajoin for the + * specific language governing permissions and limitations + * under the License. + */ + +package org.apache.iceberg.flink.sink; + +import java.math.BigDecimal; +import java.nio.ByteBuffer; +import java.time.Instant; +import java.time.LocalDate; +import java.time.LocalDateTime; +import java.time.LocalTime; +import java.time.ZoneOffset; +import java.util.Optional; +import java.util.concurrent.TimeUnit; +import org.apache.flink.table.annotation.DataTypeHint; +import org.apache.flink.table.api.DataTypes; +import org.apache.flink.table.catalog.DataTypeFactory; +import org.apache.flink.table.functions.ScalarFunction; +import org.apache.flink.table.types.inference.TypeInference; +import org.apache.flink.table.types.logical.LogicalTypeRoot; +import org.apache.iceberg.transforms.Transform; +import org.apache.iceberg.transforms.Transforms; +import org.apache.iceberg.types.Types; + +public class PartitionTransformUdf { + + public static class Truncate extends ScalarFunction { + + public int eval(int num, int value) { + Transform<Integer, Integer> truncate = Transforms.truncate(Types.IntegerType.get(), num); + return truncate.apply(value); + } + + public long eval(int num, long value) { + Transform<Long, Long> truncate = Transforms.truncate(Types.LongType.get(), num); + return truncate.apply(value); + } + + public String eval(int num, String value) { + Transform<String, String> truncate = Transforms.truncate(Types.StringType.get(), num); + return truncate.apply(value); + } + + public byte[] eval(int num, byte[] value) { + ByteBuffer wrap = ByteBuffer.wrap(value); + Transform<ByteBuffer, ByteBuffer> truncate = Transforms.truncate(Types.BinaryType.get(), num); + ByteBuffer byteBuffer = truncate.apply(wrap); + byte[] out = new byte[byteBuffer.remaining()]; + byteBuffer.get(out, 0, out.length); + return out; + } + + public BigDecimal eval(int num, BigDecimal value) { + Transform<BigDecimal, BigDecimal> truncate = Transforms.truncate( + Types.DecimalType.of(value.precision(), value.scale()), + num); + return truncate.apply(value); + } + + @Override + public TypeInference getTypeInference(DataTypeFactory typeFactory) { + return TypeInference.newBuilder() + .outputTypeStrategy(callContext -> { + LogicalTypeRoot typeRoot = callContext.getArgumentDataTypes().get(1).getLogicalType().getTypeRoot(); + if (typeRoot == LogicalTypeRoot.CHAR) { + return Optional.of(DataTypes.STRING()); + } else if (typeRoot == LogicalTypeRoot.BINARY) { + return Optional.of(DataTypes.BYTES()); + } + return Optional.of(callContext.getArgumentDataTypes().get(1)); + }) + .build(); + } + } + + public static class Bucket extends ScalarFunction { + + public int eval(int num, int value) { + Transform<Object, Integer> bucket = Transforms.bucket(Types.IntegerType.get(), num); + return bucket.apply(value); + } + + public int eval(int num, long value) { + Transform<Object, Integer> bucket = Transforms.bucket(Types.LongType.get(), num); + return bucket.apply(value); + } + + public int eval(int num, BigDecimal value) { + Transform<Object, Integer> bucket = + Transforms.bucket(Types.DecimalType.of(value.precision(), value.scale()), num); + return bucket.apply(value); + } + + public int eval(int num, String value) { + Transform<Object, Integer> bucket = Transforms.bucket(Types.StringType.get(), num); + return bucket.apply(value); + } + + public int eval(int num, byte[] value) { + ByteBuffer wrap = ByteBuffer.wrap(value); + Transform<Object, Integer> bucket = Transforms.bucket(Types.BinaryType.get(), num); + return bucket.apply(wrap); + } + + public int eval(int num, @DataTypeHint("DATE") LocalDate value) { + Transform<Object, Integer> bucket = Transforms.bucket(Types.DateType.get(), num); + int days = (int) value.toEpochDay(); + return bucket.apply(days); + } + + public int eval(int num, @DataTypeHint("TIME") LocalTime value) { + Types.TimeType type = Types.TimeType.get(); + Transform<Object, Integer> bucket = Transforms.bucket(type, num); + long micros = TimeUnit.NANOSECONDS.toMicros(value.toNanoOfDay()); Review Comment: Can you use the conversion functions in `DateTimeUtil`? -- This is an automated message from the Apache Git Service. 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