rdblue commented on a change in pull request #875: [WIP] Spark: Implement an action to rewrite manifests URL: https://github.com/apache/incubator-iceberg/pull/875#discussion_r409780963
########## File path: spark/src/main/java/org/apache/iceberg/spark/SparkDataFile.java ########## @@ -0,0 +1,133 @@ +/* + * 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; + +import java.nio.ByteBuffer; +import java.util.List; +import java.util.Locale; +import java.util.Map; +import org.apache.iceberg.DataFile; +import org.apache.iceberg.FileFormat; +import org.apache.iceberg.StructLike; +import org.apache.iceberg.types.Type; +import org.apache.iceberg.types.Types; +import org.apache.spark.sql.Row; + +public class SparkDataFile implements DataFile { + + private final Type lowerBoundsType; + private final Type upperBoundsType; + private final int fieldShift; + private final SparkStructLike wrappedPartition; + private Row wrapped; + + public SparkDataFile(Types.StructType type) { + this.lowerBoundsType = type.fieldType("lower_bounds"); + this.upperBoundsType = type.fieldType("upper_bounds"); + this.wrappedPartition = new SparkStructLike(type.fieldType("partition").asStructType()); + // the partition field is absent for unpartitioned tables + this.fieldShift = wrappedPartition.size() != 0 ? 1 : 0; + } + + public SparkDataFile wrap(Row row) { + this.wrapped = row; + if (wrappedPartition.size() > 0) { + this.wrappedPartition.wrap(row.getAs(2)); + } + return this; + } + + @Override + public CharSequence path() { + return wrapped.getAs(0); + } + + @Override + public FileFormat format() { + String formatAsString = wrapped.<String>getAs(1).toUpperCase(Locale.ROOT); + return FileFormat.valueOf(formatAsString); + } + + @Override + public StructLike partition() { + return wrappedPartition; + } + + @Override + public long recordCount() { + return wrapped.getAs(fieldShift + 2); + } + + @Override + public long fileSizeInBytes() { + return wrapped.getAs(fieldShift + 3); + } + + @Override + public Map<Integer, Long> columnSizes() { + return wrapped.getJavaMap(fieldShift + 5); + } + + @Override + public Map<Integer, Long> valueCounts() { + return wrapped.getJavaMap(fieldShift + 6); + } + + @Override + public Map<Integer, Long> nullValueCounts() { + return wrapped.getJavaMap(fieldShift + 7); + } + + @Override + public Map<Integer, ByteBuffer> lowerBounds() { + return convert(lowerBoundsType, wrapped.getJavaMap(fieldShift + 8)); + } + + @Override + public Map<Integer, ByteBuffer> upperBounds() { + return convert(upperBoundsType, wrapped.getJavaMap(fieldShift + 9)); + } + + @Override + public ByteBuffer keyMetadata() { + byte[] bytes = (byte[]) wrapped.get(fieldShift + 10); + return bytes != null ? ByteBuffer.wrap(bytes) : null; + } + + @Override + public DataFile copy() { + throw new UnsupportedOperationException("Not implemented: copy"); + } + + @Override + public DataFile copyWithoutStats() { + throw new UnsupportedOperationException("Not implemented: copyWithoutStats"); + } + + @Override + public List<Long> splitOffsets() { + return wrapped.getList(fieldShift + 11); + } + + @SuppressWarnings("unchecked") + private <T> T convert(Type valueType, Object value) { Review comment: Is this needed? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
