alexeykudinkin commented on code in PR #5272:
URL: https://github.com/apache/hudi/pull/5272#discussion_r849946852
##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/command/TruncateHoodieTableCommand.scala:
##########
@@ -18,115 +18,83 @@
package org.apache.spark.sql.hudi.command
import org.apache.hadoop.fs.Path
+import org.apache.hudi.HoodieSparkSqlWriter
+import org.apache.hudi.client.common.HoodieSparkEngineContext
import org.apache.hudi.common.fs.FSUtils
import org.apache.hudi.common.table.HoodieTableMetaClient
import org.apache.spark.sql.catalyst.TableIdentifier
import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
-import org.apache.spark.sql.catalyst.catalog.{CatalogStatistics,
CatalogTableType, HoodieCatalogTable}
+import org.apache.spark.sql.catalyst.catalog.{CatalogTableType,
HoodieCatalogTable}
import org.apache.spark.sql.hudi.HoodieSqlCommonUtils.{getPartitionPathToDrop,
normalizePartitionSpec}
-import org.apache.spark.sql.{AnalysisException, Row, SparkSession}
-
-import scala.util.control.NonFatal
+import org.apache.spark.sql.hudi.ProvidesHoodieConfig
+import org.apache.spark.sql.{AnalysisException, Row, SaveMode, SparkSession}
/**
* Command for truncate hudi table.
*/
case class TruncateHoodieTableCommand(
tableIdentifier: TableIdentifier,
- partitionSpec: Option[TablePartitionSpec])
- extends HoodieLeafRunnableCommand {
+ specs: Option[TablePartitionSpec])
+ extends HoodieLeafRunnableCommand with ProvidesHoodieConfig {
- override def run(spark: SparkSession): Seq[Row] = {
+ override def run(sparkSession: SparkSession): Seq[Row] = {
val fullTableName = s"${tableIdentifier.database}.${tableIdentifier.table}"
logInfo(s"start execute truncate table command for $fullTableName")
- val hoodieCatalogTable = HoodieCatalogTable(spark, tableIdentifier)
- val properties = hoodieCatalogTable.tableConfig.getProps
-
- try {
- // Delete all data in the table directory
- val catalog = spark.sessionState.catalog
- val table = catalog.getTableMetadata(tableIdentifier)
- val tableIdentWithDB = table.identifier.quotedString
-
- if (table.tableType == CatalogTableType.VIEW) {
- throw new AnalysisException(
- s"Operation not allowed: TRUNCATE TABLE on views: $tableIdentWithDB")
- }
-
- if (table.partitionColumnNames.isEmpty && partitionSpec.isDefined) {
- throw new AnalysisException(
- s"Operation not allowed: TRUNCATE TABLE ... PARTITION is not
supported " +
- s"for tables that are not partitioned: $tableIdentWithDB")
- }
+ val hoodieCatalogTable = HoodieCatalogTable(sparkSession, tableIdentifier)
- val basePath = hoodieCatalogTable.tableLocation
- val partCols = table.partitionColumnNames
- val locations = if (partitionSpec.isEmpty || partCols.isEmpty) {
- Seq(basePath)
- } else {
- val normalizedSpec: Seq[Map[String, String]] = Seq(partitionSpec.map {
spec =>
- normalizePartitionSpec(
- spec,
- partCols,
- table.identifier.quotedString,
- spark.sessionState.conf.resolver)
- }.get)
+ val catalog = sparkSession.sessionState.catalog
+ val table = catalog.getTableMetadata(tableIdentifier)
+ val tableIdentWithDB = table.identifier.quotedString
- val fullPartitionPath = FSUtils.getPartitionPath(basePath,
getPartitionPathToDrop(hoodieCatalogTable, normalizedSpec))
-
- Seq(fullPartitionPath)
- }
+ if (table.tableType == CatalogTableType.VIEW) {
+ throw new AnalysisException(
+ s"Operation not allowed: TRUNCATE TABLE on views: $tableIdentWithDB")
+ }
- val hadoopConf = spark.sessionState.newHadoopConf()
- locations.foreach { location =>
- val path = new Path(location.toString)
- try {
- val fs = path.getFileSystem(hadoopConf)
- fs.delete(path, true)
- fs.mkdirs(path)
- } catch {
- case NonFatal(e) =>
- throw new AnalysisException(
- s"Failed to truncate table $tableIdentWithDB when removing data
of the path: $path " +
- s"because of ${e.toString}")
- }
- }
+ if (table.partitionColumnNames.isEmpty && specs.isDefined) {
+ throw new AnalysisException(
+ s"Operation not allowed: TRUNCATE TABLE ... PARTITION is not supported
" +
+ s"for tables that are not partitioned: $tableIdentWithDB")
+ }
- // Also try to drop the contents of the table from the columnar cache
- try {
-
spark.sharedState.cacheManager.uncacheQuery(spark.table(table.identifier),
cascade = true)
- } catch {
- case NonFatal(_) =>
- }
+ val basePath = hoodieCatalogTable.tableLocation
+ val properties = hoodieCatalogTable.tableConfig.getProps
+ val hadoopConf = sparkSession.sessionState.newHadoopConf()
- if (table.stats.nonEmpty) {
- // empty table after truncation
- val newStats = CatalogStatistics(sizeInBytes = 0, rowCount = Some(0))
- catalog.alterTableStats(tableIdentifier, Some(newStats))
- }
- Seq.empty[Row]
- } catch {
- // TruncateTableCommand will delete the related directories first, and
then refresh the table.
- // It will fail when refresh table, because the hudi meta
directory(.hoodie) has been deleted at the first step.
- // So here ignore this failure, and refresh table later.
- case NonFatal(e) =>
- throw new AnalysisException(s"Exception when attempting to truncate
table ${tableIdentifier.quotedString}: " + e)
- }
+ if (specs.isEmpty) {
+ val targetPath = new Path(basePath)
+ val engineContext = new
HoodieSparkEngineContext(sparkSession.sparkContext)
+ val fs = FSUtils.getFs(basePath,
sparkSession.sparkContext.hadoopConfiguration)
+ FSUtils.deleteDir(engineContext, fs, targetPath,
sparkSession.sparkContext.defaultParallelism)
- // If we have not specified the partition, truncate will delete all the
data in the table path
Review Comment:
Let's keep the commentary to explain the semantic
##########
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestAlterTableDropPartition.scala:
##########
@@ -52,33 +52,6 @@ class TestAlterTableDropPartition extends TestHoodieSqlBase {
checkAnswer(s"show partitions $tableName")(Seq.empty: _*)
}
- test("Purge drop non-partitioned table") {
Review Comment:
Instead of removing these tests shall we just force cleaner instead?
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