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From gatorsmile <...@git.apache.org>
Subject [GitHub] spark pull request #18421: [SPARK-21213][SQL] Support collecting partition-l...
Date Mon, 07 Aug 2017 16:53:30 GMT
Github user gatorsmile commented on a diff in the pull request:

    https://github.com/apache/spark/pull/18421#discussion_r131707260
  
    --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/command/AnalyzePartitionCommand.scala
---
    @@ -0,0 +1,138 @@
    +/*
    + * 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}
    +
    +/**
    + * 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 is calculated. When `noscan`
    + * is `false`, only total size in bytes is computed.
    + */
    +case class AnalyzePartitionCommand(
    +    tableIdent: TableIdentifier,
    +    partitionSpec: Map[String, Option[String]],
    +    noscan: Boolean = true) extends RunnableCommand {
    +
    +  private def validatePartitionSpec(table: CatalogTable): Option[TablePartitionSpec]
= {
    +    val partitionColumnNames = table.partitionColumnNames.toSet
    +    val invalidColumnNames = partitionSpec.keys.filterNot(partitionColumnNames.contains(_))
    +    if (invalidColumnNames.nonEmpty) {
    +      val tableId = table.identifier
    +      throw new AnalysisException(s"Partition specification for table '${tableId.table}'
" +
    +        s"in database '${tableId.database.get}' refers to unknown partition column(s):
" +
    +        invalidColumnNames.mkString(","))
    +    }
    +
    +    val filteredSpec = partitionSpec.filter(_._2.isDefined)
    --- End diff --
    
    In the table insert with the mixed partition spec, we have the following requirement:
    > In part_spec, the static partition keys must come before the dynamic partition keys.
That means, all partition columns having constant values need to appear before other partition
columns that do not have an assigned constant value.
    
    Do we have similar requirement in analyze table partitions? 


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