openinx commented on a change in pull request #2566: URL: https://github.com/apache/iceberg/pull/2566#discussion_r629024922
########## File path: flink/src/main/java/org/apache/iceberg/flink/data/vectorized/VectorizedFlinkOrcReaders.java ########## @@ -0,0 +1,381 @@ +/* + * 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.data.vectorized; + +import java.util.List; +import java.util.Map; +import org.apache.flink.orc.nohive.vector.OrcNoHiveBytesVector; +import org.apache.flink.orc.nohive.vector.OrcNoHiveDecimalVector; +import org.apache.flink.orc.nohive.vector.OrcNoHiveDoubleVector; +import org.apache.flink.orc.nohive.vector.OrcNoHiveLongVector; +import org.apache.flink.orc.nohive.vector.OrcNoHiveTimestampVector; +import org.apache.flink.table.data.ArrayData; +import org.apache.flink.table.data.ColumnarArrayData; +import org.apache.flink.table.data.ColumnarRowData; +import org.apache.flink.table.data.DecimalData; +import org.apache.flink.table.data.TimestampData; +import org.apache.flink.table.data.binary.BinaryStringData; +import org.apache.flink.table.data.vector.ArrayColumnVector; +import org.apache.flink.table.data.vector.ColumnVector; +import org.apache.flink.table.data.vector.RowColumnVector; +import org.apache.flink.table.data.vector.VectorizedColumnBatch; +import org.apache.iceberg.MetadataColumns; +import org.apache.iceberg.Schema; +import org.apache.iceberg.orc.OrcBatchReader; +import org.apache.iceberg.orc.OrcSchemaWithTypeVisitor; +import org.apache.iceberg.types.Type; +import org.apache.iceberg.types.Types; +import org.apache.orc.TypeDescription; +import org.apache.orc.storage.ql.exec.vector.BytesColumnVector; +import org.apache.orc.storage.ql.exec.vector.DecimalColumnVector; +import org.apache.orc.storage.ql.exec.vector.DoubleColumnVector; +import org.apache.orc.storage.ql.exec.vector.ListColumnVector; +import org.apache.orc.storage.ql.exec.vector.LongColumnVector; +import org.apache.orc.storage.ql.exec.vector.StructColumnVector; +import org.apache.orc.storage.ql.exec.vector.TimestampColumnVector; +import org.apache.orc.storage.ql.exec.vector.VectorizedRowBatch; + +public class VectorizedFlinkOrcReaders { + private VectorizedFlinkOrcReaders() { + } + + public static OrcBatchReader<VectorizedColumnBatch> buildReader(Schema expectedSchema, TypeDescription fileSchema, + Map<Integer, ?> idToConstant) { + Converter converter = OrcSchemaWithTypeVisitor.visit(expectedSchema, fileSchema, new ReadBuilder(idToConstant)); + + return new OrcBatchReader<VectorizedColumnBatch>() { + private long batchOffsetInFile; + + @Override + public VectorizedColumnBatch read(VectorizedRowBatch batch) { + StructConverter.FlinkRowColumnVector cv = + (StructConverter.FlinkRowColumnVector) converter.convert(new StructColumnVector(batch.size, batch.cols), + batch.size, batchOffsetInFile); + + VectorizedColumnBatch columnarBatch = new VectorizedColumnBatch(cv.getFieldVectors()); + columnarBatch.setNumRows(batch.size); + return columnarBatch; + } + + @Override + public void setBatchContext(long batchOffsetInFile) { + this.batchOffsetInFile = batchOffsetInFile; + } + }; + } + + private interface Converter { + ColumnVector convert(org.apache.orc.storage.ql.exec.vector.ColumnVector columnVector, int batchSize, + long batchOffsetInFile); + } + + private static class ReadBuilder extends OrcSchemaWithTypeVisitor<Converter> { + private final Map<Integer, ?> idToConstant; + + private ReadBuilder(Map<Integer, ?> idToConstant) { + this.idToConstant = idToConstant; + } + + @Override + public Converter record(Types.StructType iStruct, TypeDescription record, List<String> names, + List<Converter> fields) { + return new StructConverter(iStruct, fields, idToConstant); + } + + @Override + public Converter list(Types.ListType iList, TypeDescription array, Converter element) { + return new StructConverter.ArrayConverter(element); + } + + @Override + public Converter map(Types.MapType iMap, TypeDescription map, Converter key, Converter value) { + throw new UnsupportedOperationException(); + } + + @Override + public Converter primitive(Type.PrimitiveType iPrimitive, TypeDescription primitive) { + return (vector, batchSize, batchOffsetInFile) -> { + if (vector instanceof LongColumnVector) { + return new OrcNoHiveLongVector((LongColumnVector) vector); + } else if (vector instanceof DoubleColumnVector) { + return new OrcNoHiveDoubleVector((DoubleColumnVector) vector); + } else if (vector instanceof BytesColumnVector) { + return new OrcNoHiveBytesVector((BytesColumnVector) vector); + } else if (vector instanceof DecimalColumnVector) { + return new OrcNoHiveDecimalVector((DecimalColumnVector) vector); + } else if (vector instanceof TimestampColumnVector) { + return new OrcNoHiveTimestampVector((TimestampColumnVector) vector); + } else { + throw new UnsupportedOperationException( + "Unsupported vector: " + vector.getClass().getName()); + } + }; + } + } + + private static class StructConverter implements Converter { + private final Types.StructType structType; + private final List<Converter> fieldConverters; + private final Map<Integer, ?> idToConstant; + + private StructConverter(Types.StructType structType, List<Converter> fieldConverters, + Map<Integer, ?> idToConstant) { + this.structType = structType; + this.fieldConverters = fieldConverters; + this.idToConstant = idToConstant; + } + + @Override + public ColumnVector convert(org.apache.orc.storage.ql.exec.vector.ColumnVector vector, int batchSize, + long batchOffsetInFile) { + StructColumnVector structVector = (StructColumnVector) vector; + List<Types.NestedField> fields = structType.fields(); + ColumnVector[] fieldVectors = new ColumnVector[fields.size()]; + for (int pos = 0; pos < fields.size(); pos++) { + Types.NestedField field = fields.get(pos); + if (idToConstant.containsKey(field.fieldId())) { + fieldVectors[pos] = getConstantVectors(field.type(), idToConstant.get(field.fieldId())); + } else if (field.equals(MetadataColumns.ROW_POSITION)) { + fieldVectors[pos] = new org.apache.flink.table.data.vector.LongColumnVector() { + + @Override + public boolean isNullAt(int i) { + return false; + } + + @Override + public long getLong(int i) { + return batchOffsetInFile + i; + } + }; Review comment: Maybe we could just introduce a `ConstantColumnVectors` class, and the just move the following static classes inside that class and provide the method to access them, similar to the class `OrcValueReaders`. * IntOrcColumnVector * LongOrcColumnVector; * BooleanOrcColumnVector; * DoubleOrcColumnVector * FloatOrcColumnVector * DecimalOrcColumnVector * ... -- This is an automated message from the Apache Git Service. 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