[GitHub] spark pull request #13704: [SPARK-15985][SQL] Eliminate redundant cast from ...

[cloud-fan <gi...@git.apache.org>]

Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13704#discussion_r70386711
  
    --- Diff: sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/SimplifyCastsSuite.scala ---
    @@ -0,0 +1,120 @@
    +/*
    + * 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.optimizer
    +
    +import org.apache.spark.sql.catalyst.dsl.expressions._
    +import org.apache.spark.sql.catalyst.dsl.plans._
    +import org.apache.spark.sql.catalyst.expressions._
    +import org.apache.spark.sql.catalyst.plans.PlanTest
    +import org.apache.spark.sql.catalyst.plans.logical._
    +import org.apache.spark.sql.catalyst.rules.RuleExecutor
    +import org.apache.spark.sql.types._
    +
    +class SimplifyCastsSuite extends PlanTest {
    +
    +  object Optimize extends RuleExecutor[LogicalPlan] {
    +    val batches = Batch("SimplifyCasts", FixedPoint(50), SimplifyCasts) :: Nil
    +  }
    +
    +  test("non-nullable to non-nullable array cast") {
    +    val input = LocalRelation('a.array(ArrayType(IntegerType, false)))
    +    val array_intPrimitive = Literal.create(
    +      Seq(1, 2, 3, 4, 5), ArrayType(IntegerType, false))
    +    val plan = input.select(array_intPrimitive
    +      .cast(ArrayType(IntegerType, false)).as('a)).analyze
    +    val optimized = Optimize.execute(plan)
    +    val expected = input.select(array_intPrimitive.as('a)).analyze
    +    comparePlans(optimized, expected)
    +  }
    +
    +  test("non-nullable to nullable array cast") {
    +    val input = LocalRelation('a.array(ArrayType(IntegerType, false)))
    +    val array_intPrimitive = Literal.create(
    +      Seq(1, 2, 3, 4, 5), ArrayType(IntegerType, false))
    +    val plan = input.select(array_intPrimitive
    +      .cast(ArrayType(IntegerType, true)).as('a)).analyze
    +    val optimized = Optimize.execute(plan)
    +    val expected = input.select(array_intPrimitive.as('a)).analyze
    +    comparePlans(optimized, expected)
    +  }
    +
    +  test("nullable to non-nullable array cast") {
    +    val input = LocalRelation('a.array(ArrayType(IntegerType, true)))
    +    val array_intNull = Literal.create(
    +      Seq(1, 2, null, 4, 5), ArrayType(IntegerType, true))
    +    val plan = input.select(array_intNull
    +      .cast(ArrayType(IntegerType, false)).as('a)).analyze
    +    val optimized = Optimize.execute(plan)
    +    assert(optimized.resolved === false)
    --- End diff --
    
    we can check `comparePlans(optimized, plan)`


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org