harshmotw-db commented on code in PR #48172: URL: https://github.com/apache/spark/pull/48172#discussion_r1792525735
########## sql/core/src/main/scala/org/apache/spark/sql/execution/metric/VariantConstructionMetrics.scala: ########## @@ -0,0 +1,161 @@ +/* + * 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.metric + +import org.apache.spark.SparkContext +import org.apache.spark.types.variant.VariantMetrics + +case class VariantMetricDescriptor ( + name: String, + metricType: String, + description: String +) + +object VariantConstructionMetrics { + // Top level variant metrics + val VARIANT_BUILDER_TOP_LEVEL_NUMBER_OF_VARIANTS = "variantBuilderTopLevelNumVariants" + val VARIANT_BUILDER_TOP_LEVEL_BYTE_SIZE_BOUND = "variantBuilderTopLevelByteSizeBound" + val VARIANT_BUILDER_TOP_LEVEL_NUM_SCALARS = "variantBuilderTopLevelNumScalars" + val VARIANT_BUILDER_TOP_LEVEL_NUM_PATHS = "variantBuilderTopLevelNumPaths" + val VARIANT_BUILDER_TOP_LEVEL_MAX_DEPTH = "variantBuilderTopLevelMaxDepth" + // Nested variant metrics + val VARIANT_BUILDER_NESTED_NUMBER_OF_VARIANTS = "variantBuilderNestedNumVariants" + val VARIANT_BUILDER_NESTED_BYTE_SIZE_BOUND = "variantBuilderNestedByteSizeBound" + val VARIANT_BUILDER_NESTED_NUM_SCALARS = "variantBuilderNestedNumScalars" + val VARIANT_BUILDER_NESTED_NUM_PATHS = "variantBuilderNestedNumPaths" + val VARIANT_BUILDER_NESTED_MAX_DEPTH = "variantBuilderNestedMaxDepth" + + final val all: Array[VariantMetricDescriptor] = Array( + VariantMetricDescriptor( + VARIANT_BUILDER_TOP_LEVEL_NUMBER_OF_VARIANTS, + SQLMetrics.SUM_METRIC, + "variant top-level - total count" + ), + VariantMetricDescriptor( + VARIANT_BUILDER_TOP_LEVEL_BYTE_SIZE_BOUND, + SQLMetrics.SIZE_METRIC, + "variant top-level - total byte size" + ), + VariantMetricDescriptor( + VARIANT_BUILDER_TOP_LEVEL_NUM_SCALARS, + SQLMetrics.SUM_METRIC, + "variant top-level - total number of scalar values" + ), + VariantMetricDescriptor( + VARIANT_BUILDER_TOP_LEVEL_NUM_PATHS, + SQLMetrics.SUM_METRIC, + "variant top-level - total number of paths" + ), + VariantMetricDescriptor( + VARIANT_BUILDER_TOP_LEVEL_MAX_DEPTH, + SQLMetrics.MAX_METRIC, + "variant top-level - max depth" + ), + VariantMetricDescriptor( + VARIANT_BUILDER_NESTED_NUMBER_OF_VARIANTS, + SQLMetrics.SUM_METRIC, + "variant nested - total count" + ), + VariantMetricDescriptor( + VARIANT_BUILDER_NESTED_BYTE_SIZE_BOUND, + SQLMetrics.SIZE_METRIC, + "variant nested - total byte size" + ), + VariantMetricDescriptor( + VARIANT_BUILDER_NESTED_NUM_SCALARS, + SQLMetrics.SUM_METRIC, + "variant nested - total number of scalar values" + ), + VariantMetricDescriptor( + VARIANT_BUILDER_NESTED_NUM_PATHS, + SQLMetrics.SUM_METRIC, + "variant nested - total number of paths" + ), + VariantMetricDescriptor( + VARIANT_BUILDER_NESTED_MAX_DEPTH, + SQLMetrics.MAX_METRIC, + "variant nested - max depth" + ) + ) + + def createSQLMetrics(sparkContext: SparkContext): Map[String, SQLMetric] = { + all.map( + d => { + d.name -> { + d.metricType match { + case SQLMetrics.SUM_METRIC => SQLMetrics.createMetric(sparkContext, d.description) + case SQLMetrics.SIZE_METRIC => SQLMetrics.createSizeMetric(sparkContext, d.description) + case SQLMetrics.MAX_METRIC => SQLMetrics.createMaxMetric(sparkContext, d.description) + case _ => throw new IllegalArgumentException(s"Unknown metric type: ${d.metricType}") + } + } + } + ).toMap + } + + // Update SQL metrics with the data in topLevelVariantMetrics and nestedVariantMetrics + def updateSQLMetrics( + topLevelVariantMetrics: Option[VariantMetrics], + nestedVariantMetrics: Option[VariantMetrics], + sqlMetrics: Option[Map[String, SQLMetric]]): Unit = { Review Comment: Same response as https://github.com/apache/spark/pull/48172#discussion_r1792524947 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
