com.nvidia.spark.rapids.GpuColumnVectorUtils.scala Maven / Gradle / Ivy
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Creates the distribution package of the RAPIDS plugin for Apache Spark
/*
* Copyright (c) 2022-2024, NVIDIA CORPORATION.
*
* Licensed 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.nvidia.spark.rapids
import java.lang.reflect.Method
import ai.rapids.cudf.Table
import org.apache.spark.sql.types.DataType
import org.apache.spark.sql.vectorized.ColumnVector
object GpuColumnVectorUtils {
lazy val extractHostColumnsMethod: Method = ShimLoader.loadGpuColumnVector()
.getDeclaredMethod("extractHostColumns", classOf[Table], classOf[Array[DataType]])
/**
* Extract the columns from a table and convert them to RapidsHostColumnVector.
* @param table to be extracted
* @param colType the column types
* @return an array of ColumnVector
*/
def extractHostColumns(table: Table, colType: Array[DataType]): Array[ColumnVector] = {
val columnVectors = extractHostColumnsMethod.invoke(null, table, colType)
columnVectors.asInstanceOf[Array[ColumnVector]]
}
}