aokolnychyi commented on a change in pull request #63: Use Iceberg writers for Parquet data written from Spark. URL: https://github.com/apache/incubator-iceberg/pull/63#discussion_r255294955
########## File path: spark/src/main/java/com/netflix/iceberg/spark/data/SparkParquetWriters.java ########## @@ -0,0 +1,447 @@ +/* + * 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 com.netflix.iceberg.spark.data; + +import com.google.common.base.Preconditions; +import com.google.common.collect.Lists; +import com.netflix.iceberg.Schema; +import com.netflix.iceberg.parquet.ParquetTypeVisitor; +import com.netflix.iceberg.parquet.ParquetValueReaders.ReusableEntry; +import com.netflix.iceberg.parquet.ParquetValueWriter; +import com.netflix.iceberg.parquet.ParquetValueWriters; +import com.netflix.iceberg.parquet.ParquetValueWriters.PrimitiveWriter; +import com.netflix.iceberg.parquet.ParquetValueWriters.RepeatedKeyValueWriter; +import com.netflix.iceberg.parquet.ParquetValueWriters.RepeatedWriter; +import com.netflix.iceberg.types.TypeUtil; +import org.apache.parquet.column.ColumnDescriptor; +import org.apache.parquet.io.api.Binary; +import org.apache.parquet.schema.DecimalMetadata; +import org.apache.parquet.schema.GroupType; +import org.apache.parquet.schema.MessageType; +import org.apache.parquet.schema.PrimitiveType; +import org.apache.parquet.schema.Type; +import org.apache.spark.sql.catalyst.InternalRow; +import org.apache.spark.sql.catalyst.util.ArrayData; +import org.apache.spark.sql.catalyst.util.MapData; +import org.apache.spark.sql.types.DataType; +import org.apache.spark.sql.types.Decimal; +import org.apache.spark.unsafe.types.UTF8String; +import java.math.BigDecimal; +import java.math.BigInteger; +import java.util.Iterator; +import java.util.List; +import java.util.Map; +import java.util.NoSuchElementException; + +import static com.netflix.iceberg.parquet.ParquetValueWriters.option; +import static com.netflix.iceberg.spark.SparkSchemaUtil.convert; + +public class SparkParquetWriters { + private SparkParquetWriters() { + } + + @SuppressWarnings("unchecked") + public static <T> ParquetValueWriter<T> buildWriter(Schema schema, MessageType type) { + return (ParquetValueWriter<T>) ParquetTypeVisitor.visit(type, new WriteBuilder(schema, type)); + } + + private static class WriteBuilder extends ParquetTypeVisitor<ParquetValueWriter<?>> { + private final Schema schema; + private final MessageType type; + + WriteBuilder(Schema schema, MessageType type) { + this.schema = schema; + this.type = type; + } + + @Override + public ParquetValueWriter<?> message(MessageType message, + List<ParquetValueWriter<?>> fieldWriters) { + return struct(message.asGroupType(), fieldWriters); + } + + @Override + public ParquetValueWriter<?> struct(GroupType struct, + List<ParquetValueWriter<?>> fieldWriters) { + List<Type> fields = struct.getFields(); + List<ParquetValueWriter<?>> writers = Lists.newArrayListWithExpectedSize(fieldWriters.size()); + List<DataType> sparkTypes = Lists.newArrayList(); + for (int i = 0; i < fields.size(); i += 1) { + Type fieldType = struct.getType(i); + int fieldD = type.getMaxDefinitionLevel(path(fieldType.getName())); + writers.add(option(fieldType, fieldD, fieldWriters.get(i))); + sparkTypes.add(convert(schema.findType(fieldType.getId().intValue()))); + } + + return new InternalRowWriter(writers, sparkTypes); + } + + @Override + public ParquetValueWriter<?> list(GroupType array, ParquetValueWriter<?> elementWriter) { + GroupType repeated = array.getFields().get(0).asGroupType(); + String[] repeatedPath = currentPath(); + + int repeatedD = type.getMaxDefinitionLevel(repeatedPath); + int repeatedR = type.getMaxRepetitionLevel(repeatedPath); + + org.apache.parquet.schema.Type elementType = repeated.getType(0); + int elementD = type.getMaxDefinitionLevel(path(elementType.getName())); + + DataType elementSparkType = convert(schema.findType(elementType.getId().intValue())); + + return new ArrayDataWriter<>(repeatedD, repeatedR, + option(elementType, elementD, elementWriter), + elementSparkType); + } + + @Override + public ParquetValueWriter<?> map(GroupType map, + ParquetValueWriter<?> keyWriter, Review comment: Out of curiosity, how many args do we want to keep per line? I've seen a few args per line in other places. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on 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]
