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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.catalyst
import org.apache.spark.SparkFunSuite
import org.apache.spark.sql.catalyst.optimizer.Optimizer
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.catalyst.rules.Rule
/**
* This is a test for SPARK-7727 if the Optimizer is kept being extendable
*/
class OptimizerExtendableSuite extends SparkFunSuite {
/**
* Dummy rule for test batches
*/
object DummyRule extends Rule[LogicalPlan] {
def apply(p: LogicalPlan): LogicalPlan = p
}
/**
* This class represents a dummy extended optimizer that takes the batches of the
* Optimizer and adds custom ones.
*/
class ExtendedOptimizer extends Optimizer {
// rules set to DummyRule, would not be executed anyways
val myBatches: Seq[Batch] = {
Batch("once", Once,
DummyRule) ::
Batch("fixedPoint", FixedPoint(100),
DummyRule) :: Nil
}
override def batches: Seq[Batch] = super.batches ++ myBatches
}
test("Extending batches possible") {
// test simply instantiates the new extended optimizer
val extendedOptimizer = new ExtendedOptimizer()
}
}
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