| /* |
| * 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.hive.utils |
| |
| import org.apache.spark.internal.Logging |
| import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, ShuffleQueryStageExec} |
| import org.apache.spark.sql.execution.{FileSourceScanExec, KylinFileSourceScanExec, SparkPlan} |
| import org.apache.spark.sql.hive.execution.HiveTableScanExec |
| |
| import scala.collection.JavaConverters.seqAsJavaListConverter |
| |
| object QueryMetricUtils extends Logging { |
| |
| def collectScanMetrics(plan: SparkPlan): (java.util.List[java.lang.Long], java.util.List[java.lang.Long], |
| java.util.List[java.lang.Long], java.util.List[java.lang.Long], java.util.List[java.lang.Long]) = { |
| try { |
| val metrics = plan.collect { |
| case exec: AdaptiveSparkPlanExec => metricLine(recursiveGetSparkPlan(exec.executedPlan)) |
| case exec: KylinFileSourceScanExec => metricLine(exec) |
| case exec: FileSourceScanExec => metricLine(exec) |
| case exec: HiveTableScanExec => metricLine(exec) |
| } |
| |
| val scanRows = metrics.map(metric => java.lang.Long.valueOf(metric._1)) |
| .filter(_ >= 0L).toList.asJava |
| val scanFiles = metrics.map(metrics => java.lang.Long.valueOf(metrics._2)) |
| .filter(_ >= 0L).toList.asJava |
| val metadataTime = metrics.map(metrics => java.lang.Long.valueOf(metrics._3)) |
| .filter(_ >= 0L).toList.asJava |
| val scanTime = metrics.map(metrics => java.lang.Long.valueOf(metrics._4)) |
| .filter(_ >= 0L).toList.asJava |
| val scanBytes = metrics.map(metric => java.lang.Long.valueOf(metric._5)) |
| .filter(_ >= 0L).toList.asJava |
| |
| (scanRows, scanFiles, metadataTime, scanTime, scanBytes) |
| } catch { |
| case throwable: Throwable => |
| logWarning("Error occurred when collect query scan metrics.", throwable) |
| (List.empty[java.lang.Long].asJava, List.empty[java.lang.Long].asJava, List.empty[java.lang.Long].asJava, |
| List.empty[java.lang.Long].asJava, List.empty[java.lang.Long].asJava) |
| } |
| } |
| |
| private def metricLine(exec: SparkPlan) = { |
| ( |
| exec.metrics.get("numOutputRows").map(_.value).getOrElse(-1L), |
| exec.metrics.get("numFiles").map(_.value).getOrElse(-1L), |
| exec.metrics.get("metadataTime").map(_.value).getOrElse(-1L), |
| exec.metrics.get("scanTime").map(_.value).getOrElse(-1L), |
| exec.metrics.get("filesSize").map(_.value).getOrElse(-1L) |
| ) |
| } |
| |
| private def recursiveGetSparkPlan(sparkPlan: SparkPlan): SparkPlan = { |
| sparkPlan match { |
| case exec: ShuffleQueryStageExec => |
| recursiveGetSparkPlan(exec.plan) |
| case exec: KylinFileSourceScanExec => |
| exec |
| case exec: FileSourceScanExec => |
| exec |
| case exec: HiveTableScanExec => |
| exec |
| case _ => { |
| if (sparkPlan.children.isEmpty) { |
| return null |
| } |
| recursiveGetSparkPlan(sparkPlan.children.head) |
| } |
| } |
| } |
| } |