cloud-fan commented on a change in pull request #31476: URL: https://github.com/apache/spark/pull/31476#discussion_r599346059
########## File path: sql/catalyst/src/main/java/org/apache/spark/sql/connector/CustomTaskMetric.java ########## @@ -0,0 +1,46 @@ +/* + * 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.connector; + +import org.apache.spark.annotation.Evolving; +import org.apache.spark.sql.connector.read.PartitionReader; + +/** + * A custom task metric. This is a logical representation of a metric reported by data sources + * at the executor side. During query execution, Spark will collect the task metrics per partition + * by {@link PartitionReader} and update internal metrics based on collected metric values. + * For streaming query, Spark will collect and combine metrics for a final result per micro batch. + * + * The metrics will be gathered during query execution back to the driver and then combined. How + * the task metrics are combined is defined by corresponding {@link CustomMetric} with same metric + * name. The final result will be shown up in the physical operator in Spark UI. Review comment: `physical operator` -> `data source scan operator` -- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
