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[SPARK-32268][SQL][TESTS][FOLLOW-UP] Use function registry in the SparkSession #36576

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[SPARK-32268][SQL][TESTS][FOLLOW-UP] Use function registry in the SparkSession #36576

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c01a877
Use function registry in the SparkSession
HyukjinKwon May 17, 2022
fe1d1ea
Remove if-else checkpoint
HyukjinKwon May 17, 2022
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34 changes: 18 additions & 16 deletions sql/core/src/test/scala/org/apache/spark/sql/BloomFilterAggregateQuerySuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,6 @@
package org.apache.spark.sql

import org.apache.spark.sql.catalyst.FunctionIdentifier
import org.apache.spark.sql.catalyst.analysis.FunctionRegistry
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.BloomFilterAggregate
import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec
Expand All @@ -35,23 +34,26 @@ class BloomFilterAggregateQuerySuite extends QueryTest with SharedSparkSession {
val funcId_bloom_filter_agg = new FunctionIdentifier("bloom_filter_agg")
val funcId_might_contain = new FunctionIdentifier("might_contain")

// Register 'bloom_filter_agg' to builtin.
FunctionRegistry.builtin.registerFunction(funcId_bloom_filter_agg,
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@HyukjinKwon HyukjinKwon May 17, 2022 •
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I think Scala version or something else caused the test failure by the different class reference order (vs. CI) during running tests:

  1. BloomFilterAggregateQuerySuite gets referred first somehow/somewhere
  2. These functions get registered first (because these previous codes will be executed when BloomFilterAggregateQuerySuite is referred).
  3. Other tests run before BloomFilterAggregateQuerySuite actually runs (and deregisters these functions at afterAll.
  4. Other tests fail because of two functions added by BloomFilterAggregateQuerySuite.

new ExpressionInfo(classOf[BloomFilterAggregate].getName, "bloom_filter_agg"),
(children: Seq[Expression]) => children.size match {
case 1 => new BloomFilterAggregate(children.head)
case 2 => new BloomFilterAggregate(children.head, children(1))
case 3 => new BloomFilterAggregate(children.head, children(1), children(2))
})

// Register 'might_contain' to builtin.
FunctionRegistry.builtin.registerFunction(funcId_might_contain,
new ExpressionInfo(classOf[BloomFilterMightContain].getName, "might_contain"),
(children: Seq[Expression]) => BloomFilterMightContain(children.head, children(1)))
override def beforeAll(): Unit = {
super.beforeAll()
// Register 'bloom_filter_agg' to builtin.
spark.sessionState.functionRegistry.registerFunction(funcId_bloom_filter_agg,
new ExpressionInfo(classOf[BloomFilterAggregate].getName, "bloom_filter_agg"),
(children: Seq[Expression]) => children.size match {
case 1 => new BloomFilterAggregate(children.head)
case 2 => new BloomFilterAggregate(children.head, children(1))
case 3 => new BloomFilterAggregate(children.head, children(1), children(2))
})

// Register 'might_contain' to builtin.
spark.sessionState.functionRegistry.registerFunction(funcId_might_contain,
new ExpressionInfo(classOf[BloomFilterMightContain].getName, "might_contain"),
(children: Seq[Expression]) => BloomFilterMightContain(children.head, children(1)))
}

override def afterAll(): Unit = {
FunctionRegistry.builtin.dropFunction(funcId_bloom_filter_agg)
FunctionRegistry.builtin.dropFunction(funcId_might_contain)
spark.sessionState.functionRegistry.dropFunction(funcId_bloom_filter_agg)
spark.sessionState.functionRegistry.dropFunction(funcId_might_contain)
super.afterAll()
}

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