| package org.apache.spark.sql.hive |
| |
| import org.apache.spark.sql.CarbonDatasourceHadoopRelation |
| import org.apache.spark.sql.catalyst.expressions.{Exists, In, ListQuery, ScalarSubquery} |
| import org.apache.spark.sql.catalyst.plans.logical.{Filter, LogicalPlan} |
| import org.apache.spark.sql.execution.datasources.LogicalRelation |
| |
| object CarbonOptimizerUtil { |
| def transformForScalarSubQuery(plan: LogicalPlan): LogicalPlan = { |
| // In case scalar subquery add flag in relation to skip the decoder plan in optimizer rule, And |
| // optimize whole plan at once. |
| val transFormedPlan = plan.transform { |
| case filter: Filter => |
| filter.transformExpressions { |
| case s: ScalarSubquery => |
| val tPlan = s.plan.transform { |
| case lr: LogicalRelation |
| if lr.relation.isInstanceOf[CarbonDatasourceHadoopRelation] => |
| lr.relation.asInstanceOf[CarbonDatasourceHadoopRelation].isSubquery += true |
| lr |
| } |
| ScalarSubquery(tPlan, s.children, s.exprId) |
| case e: Exists => |
| val tPlan = e.plan.transform { |
| case lr: LogicalRelation |
| if lr.relation.isInstanceOf[CarbonDatasourceHadoopRelation] => |
| lr.relation.asInstanceOf[CarbonDatasourceHadoopRelation].isSubquery += true |
| lr |
| } |
| Exists(tPlan, e.children.map(_.canonicalized), e.exprId) |
| |
| case In(value, Seq(l:ListQuery)) => |
| val tPlan = l.plan.transform { |
| case lr: LogicalRelation |
| if lr.relation.isInstanceOf[CarbonDatasourceHadoopRelation] => |
| lr.relation.asInstanceOf[CarbonDatasourceHadoopRelation].isSubquery += true |
| lr |
| } |
| In(value, Seq(ListQuery(tPlan, l.children, l.exprId))) |
| } |
| } |
| transFormedPlan |
| } |
| } |
