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/*
* 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 scala.util.control.NonFatal
import org.apache.hadoop.fs.{FileSystem, Path}
import org.apache.spark.sql.{AnalysisException, Dataset, Row, SparkSession}
import org.apache.spark.sql.catalyst.analysis.EliminateSubqueryAliases
import org.apache.spark.sql.catalyst.catalog.{CatalogRelation, CatalogTable}
import org.apache.spark.sql.catalyst.plans.logical.Statistics
import org.apache.spark.sql.execution.datasources.LogicalRelation
/**
* Analyzes the given table in the current database to generate statistics, which will be
* used in query optimizations.
*/
case class AnalyzeTableCommand(tableName: String, noscan: Boolean = true) extends RunnableCommand {
override def run(sparkSession: SparkSession): Seq[Row] = {
val sessionState = sparkSession.sessionState
val tableIdent = sessionState.sqlParser.parseTableIdentifier(tableName)
val relation = EliminateSubqueryAliases(sessionState.catalog.lookupRelation(tableIdent))
relation match {
case relation: CatalogRelation =>
val catalogTable: CatalogTable = relation.catalogTable
// This method is mainly based on
// org.apache.hadoop.hive.ql.stats.StatsUtils.getFileSizeForTable(HiveConf, Table)
// in Hive 0.13 (except that we do not use fs.getContentSummary).
// TODO: Generalize statistics collection.
// TODO: Why fs.getContentSummary returns wrong size on Jenkins?
// Can we use fs.getContentSummary in future?
// Seems fs.getContentSummary returns wrong table size on Jenkins. So we use
// countFileSize to count the table size.
val stagingDir = sessionState.conf.getConfString("hive.exec.stagingdir", ".hive-staging")
def calculateTableSize(fs: FileSystem, path: Path): Long = {
val fileStatus = fs.getFileStatus(path)
val size = if (fileStatus.isDirectory) {
fs.listStatus(path)
.map { status =>
if (!status.getPath.getName.startsWith(stagingDir)) {
calculateTableSize(fs, status.getPath)
} else {
0L
}
}.sum
} else {
fileStatus.getLen
}
size
}
val newTotalSize =
catalogTable.storage.locationUri.map { p =>
val path = new Path(p)
try {
val fs = path.getFileSystem(sparkSession.sessionState.newHadoopConf())
calculateTableSize(fs, path)
} catch {
case NonFatal(e) =>
logWarning(
s"Failed to get the size of table ${catalogTable.identifier.table} in the " +
s"database ${catalogTable.identifier.database} because of ${e.toString}", e)
0L
}
}.getOrElse(0L)
updateTableStats(catalogTable, newTotalSize)
// data source tables have been converted into LogicalRelations
case logicalRel: LogicalRelation if logicalRel.catalogTable.isDefined =>
updateTableStats(logicalRel.catalogTable.get, logicalRel.relation.sizeInBytes)
case otherRelation =>
throw new AnalysisException(s"ANALYZE TABLE is not supported for " +
s"${otherRelation.nodeName}.")
}
def updateTableStats(catalogTable: CatalogTable, newTotalSize: Long): Unit = {
val oldTotalSize = catalogTable.stats.map(_.sizeInBytes.toLong).getOrElse(0L)
val oldRowCount = catalogTable.stats.flatMap(_.rowCount.map(_.toLong)).getOrElse(-1L)
var newStats: Option[Statistics] = None
if (newTotalSize > 0 && newTotalSize != oldTotalSize) {
newStats = Some(Statistics(sizeInBytes = newTotalSize))
}
// We only set rowCount when noscan is false, because otherwise:
// 1. when total size is not changed, we don't need to alter the table;
// 2. when total size is changed, `oldRowCount` becomes invalid.
// This is to make sure that we only record the right statistics.
if (!noscan) {
val newRowCount = Dataset.ofRows(sparkSession, relation).count()
if (newRowCount >= 0 && newRowCount != oldRowCount) {
newStats = if (newStats.isDefined) {
newStats.map(_.copy(rowCount = Some(BigInt(newRowCount))))
} else {
Some(Statistics(sizeInBytes = oldTotalSize, rowCount = Some(BigInt(newRowCount))))
}
}
}
// Update the metastore if the above statistics of the table are different from those
// recorded in the metastore.
if (newStats.isDefined) {
sessionState.catalog.alterTable(catalogTable.copy(stats = newStats))
// Refresh the cached data source table in the catalog.
sessionState.catalog.refreshTable(tableIdent)
}
}
Seq.empty[Row]
}
}
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