com.nvidia.spark.rapids.GpuBatchScanExecMetrics.scala Maven / Gradle / Ivy
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Creates the distribution package of the RAPIDS plugin for Apache Spark
/*
* Copyright (c) 2022-2023, 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 org.apache.spark.sql.connector.read.Scan
trait GpuBatchScanExecMetrics extends GpuExec {
import GpuMetric._
def scan: Scan
override def supportsColumnar = true
override val outputRowsLevel: MetricsLevel = ESSENTIAL_LEVEL
override val outputBatchesLevel: MetricsLevel = MODERATE_LEVEL
override lazy val additionalMetrics: Map[String, GpuMetric] = Map(
GPU_DECODE_TIME -> createNanoTimingMetric(MODERATE_LEVEL, DESCRIPTION_GPU_DECODE_TIME),
BUFFER_TIME -> createNanoTimingMetric(MODERATE_LEVEL, DESCRIPTION_BUFFER_TIME),
FILTER_TIME -> createNanoTimingMetric(DEBUG_LEVEL, DESCRIPTION_FILTER_TIME)
) ++ fileCacheMetrics
lazy val fileCacheMetrics: Map[String, GpuMetric] = {
// File cache only supported on Parquet files for now.
scan match {
case _: GpuParquetScan | _: GpuOrcScan => createFileCacheMetrics()
case _ => Map.empty
}
}
}