class SparkConnectPlanner extends Logging
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- new SparkConnectPlanner(executeHolder: ExecuteHolder)
- new SparkConnectPlanner(sessionHolder: SessionHolder, executeHolderOpt: Option[ExecuteHolder] = None)
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- val executeHolderOpt: Option[ExecuteHolder]
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- def process(command: Command, responseObserver: StreamObserver[ExecutePlanResponse]): Unit
- def session: SparkSession
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- val sessionHolder: SessionHolder
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- def toString(): String
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- def transformExpression(exp: Expression): Expression
Transforms an input protobuf expression into the Catalyst expression.
Transforms an input protobuf expression into the Catalyst expression. This is usually not called directly. Typically the planner will traverse the expressions automatically, only plugins are expected to manually perform expression transformations.
- exp
the input expression
- returns
Catalyst expression
- Annotations
- @DeveloperApi()
- def transformRelation(rel: Relation, cachePlan: Boolean): LogicalPlan
The root of the query plan is a relation and we apply the transformations to it.
The root of the query plan is a relation and we apply the transformations to it.
- rel
The relation to transform.
- cachePlan
Set to true for a performance optimization, if the plan is likely to be reused, e.g. built upon by further dataset transformation. The default is false.
- returns
The resolved logical plan.
- Annotations
- @DeveloperApi()
- def transformRelation(rel: Relation): LogicalPlan
The root of the query plan is a relation and we apply the transformations to it.
The root of the query plan is a relation and we apply the transformations to it. The resolved logical plan will not get cached. If the result needs to be cached, use
transformRelation(rel, cachePlan = true)instead.- rel
The relation to transform.
- returns
The resolved logical plan.
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- def withLogContext(context: HashMap[String, String])(body: => Unit): Unit
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)