KurtYoung commented on a change in pull request #10022: [FLINK-14135][hive][orc] Introduce orc ColumnarRow reader for hive connector URL: https://github.com/apache/flink/pull/10022#discussion_r352399929
########## File path: flink-formats/flink-orc/src/main/java/org/apache/flink/orc/vector/AbstractOrcColumnVector.java ########## @@ -0,0 +1,198 @@ +/* + * 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.flink.orc.vector; + +import org.apache.flink.table.types.logical.DecimalType; +import org.apache.flink.table.types.logical.LogicalType; + +import org.apache.hadoop.hive.common.type.HiveDecimal; +import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.TimestampColumnVector; + +import java.math.BigDecimal; +import java.nio.charset.StandardCharsets; +import java.sql.Date; +import java.sql.Timestamp; +import java.time.LocalDateTime; + +import static org.apache.flink.table.runtime.functions.SqlDateTimeUtils.dateToInternal; + +/** + * This column vector is used to adapt hive's ColumnVector to Flink's ColumnVector. + */ +public abstract class AbstractOrcColumnVector implements + org.apache.flink.table.dataformat.vector.ColumnVector { + + private ColumnVector vector; + + AbstractOrcColumnVector(ColumnVector vector) { + this.vector = vector; + } + + @Override + public boolean isNullAt(int i) { + return !vector.noNulls && vector.isNull[vector.isRepeating ? 0 : i]; + } + + @Override + public void reset() { + throw new UnsupportedOperationException(); + } + + public static org.apache.flink.table.dataformat.vector.ColumnVector createVector( + ColumnVector vector) { + if (vector instanceof LongColumnVector) { + return new OrcLongColumnVector((LongColumnVector) vector); + } else if (vector instanceof DoubleColumnVector) { + return new OrcDoubleColumnVector((DoubleColumnVector) vector); + } else if (vector instanceof BytesColumnVector) { + return new OrcBytesColumnVector((BytesColumnVector) vector); + } else if (vector instanceof DecimalColumnVector) { + return new OrcDecimalColumnVector((DecimalColumnVector) vector); + } else if (vector instanceof TimestampColumnVector) { + return new OrcTimestampColumnVector((TimestampColumnVector) vector); + } else { + throw new UnsupportedOperationException("Unsupport vector: " + vector.getClass().getName()); + } + } + + /** + * Create flink vector by hive vector from constant. + */ + public static org.apache.flink.table.dataformat.vector.ColumnVector createVectorFromConstant( + LogicalType type, Object value, int batchSize) { + return createVector(createHiveVectorFromConstant(type, value, batchSize)); + } + + /** + * Create a orc vector from partition spec value. + * See hive {@code VectorizedRowBatchCtx#addPartitionColsToBatch}. + */ + private static ColumnVector createHiveVectorFromConstant( + LogicalType type, Object value, int batchSize) { + switch (type.getTypeRoot()) { + case CHAR: + case VARCHAR: + case BINARY: + case VARBINARY: + return createBytesVector(batchSize, value); + case BOOLEAN: + return createLongVector(batchSize, (Boolean) value ? 1 : 0); + case TINYINT: + case SMALLINT: + case INTEGER: + case BIGINT: + return createLongVector(batchSize, value); + case DECIMAL: + DecimalType decimalType = (DecimalType) type; + return createDecimalVector( + batchSize, decimalType.getPrecision(), decimalType.getScale(), value); + case FLOAT: + case DOUBLE: + return createDoubleVector(batchSize, value); + case DATE: + return createLongVector(batchSize, dateToInternal((Date) value)); + case TIMESTAMP_WITHOUT_TIME_ZONE: + return createTimestampVector(batchSize, (LocalDateTime) value); + default: + throw new UnsupportedOperationException("Unsupported type: " + type); + } + } + + private static LongColumnVector createLongVector(int batchSize, Object value) { + LongColumnVector lcv = new LongColumnVector(batchSize); Review comment: You can create a vector with size 1 here and set repeating to true? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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