org.apache.paimon.spark.catalyst.analysis.PaimonIncompatiblePHRRules.scala Maven / Gradle / Ivy
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package org.apache.paimon.spark.catalyst.analysis
import org.apache.paimon.spark.commands.PaimonTruncateTableCommand
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.analysis.ResolvedPartitionSpec
import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, TruncatePartition}
import org.apache.spark.sql.catalyst.rules.Rule
/** These post-hoc resolution rules are incompatible between different versions of spark. */
case class PaimonIncompatiblePHRRules(session: SparkSession) extends Rule[LogicalPlan] {
override def apply(plan: LogicalPlan): LogicalPlan = {
plan match {
case t @ TruncatePartition(PaimonRelation(table), ResolvedPartitionSpec(names, ident, _))
if t.resolved =>
assert(names.length == ident.numFields, "Names and values of partition don't match")
val resolver = session.sessionState.conf.resolver
val schema = table.schema()
val partitionSpec = names.zipWithIndex.map {
case (name, index) =>
val field = schema.find(f => resolver(f.name, name)).getOrElse {
throw new RuntimeException(s"$name is not a valid partition column in $schema.")
}
(name -> ident.get(index, field.dataType).toString)
}.toMap
PaimonTruncateTableCommand(table, partitionSpec)
case _ => plan
}
}
}
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