Github user gatorsmile commented on a diff in the pull request: https://github.com/apache/spark/pull/18421#discussion_r133892798 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/command/AnalyzePartitionCommand.scala --- @@ -0,0 +1,149 @@ +/* + * 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.command + +import org.apache.spark.sql.{AnalysisException, Column, Row, SparkSession} +import org.apache.spark.sql.catalyst.TableIdentifier +import org.apache.spark.sql.catalyst.analysis.{NoSuchPartitionException, UnresolvedAttribute} +import org.apache.spark.sql.catalyst.catalog.{CatalogTable, CatalogTableType} +import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec +import org.apache.spark.sql.catalyst.expressions.{And, EqualTo, Literal} +import org.apache.spark.sql.execution.datasources.PartitioningUtils + +/** + * Analyzes a given set of partitions to generate per-partition statistics, which will be used in + * query optimizations. + * + * When `partitionSpec` is empty, statistics for all partitions are collected and stored in + * Metastore. + * + * When `partitionSpec` mentions only some of the partition columns, all partitions with + * matching values for specified columns are processed. + * + * If `partitionSpec` mentions unknown partition column, an `AnalysisException` is raised. + * + * By default, total number of rows and total size in bytes are calculated. When `noscan` + * is `true`, only total size in bytes is computed. + */ +case class AnalyzePartitionCommand( + tableIdent: TableIdentifier, + partitionSpec: Map[String, Option[String]], + noscan: Boolean = true) extends RunnableCommand { + + private def getPartitionSpec(table: CatalogTable): Option[TablePartitionSpec] = { + val normalizedPartitionSpec = + PartitioningUtils.normalizePartitionSpec(partitionSpec, table.partitionColumnNames, + table.identifier.quotedString, conf.resolver); + + // Report an error if partition columns in partition specification do not form + // a prefix of the list of partition columns defined in the table schema + val isSpecified = --- End diff -- -> `isNotSpecified`
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