org.apache.spark.sql.execution.datasources.parquet.VectorizedValuesReader Maven / Gradle / Ivy
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* 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.spark.sql.execution.datasources.parquet;
import org.apache.spark.sql.execution.vectorized.WritableColumnVector;
import org.apache.parquet.io.api.Binary;
/**
* Interface for value decoding that supports vectorized (aka batched) decoding.
* TODO: merge this into parquet-mr.
*/
public interface VectorizedValuesReader {
boolean readBoolean();
byte readByte();
int readInteger();
long readLong();
float readFloat();
double readDouble();
Binary readBinary(int len);
/*
* Reads `total` values into `c` start at `c[rowId]`
*/
void readBooleans(int total, WritableColumnVector c, int rowId);
void readBytes(int total, WritableColumnVector c, int rowId);
void readIntegers(int total, WritableColumnVector c, int rowId);
void readLongs(int total, WritableColumnVector c, int rowId);
void readFloats(int total, WritableColumnVector c, int rowId);
void readDoubles(int total, WritableColumnVector c, int rowId);
void readBinary(int total, WritableColumnVector c, int rowId);
}