Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/10883#discussion_r50766742
--- Diff:
common/sketch/src/test/scala/org/apache/spark/util/sketch/BloomFilterSuite.scala
---
@@ -0,0 +1,109 @@
+/*
+ * 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.util.sketch
+
+import scala.reflect.ClassTag
+import scala.util.Random
+
+import org.scalatest.FunSuite // scalastyle:ignore funsuite
+
+class BloomFilterSuite extends FunSuite { // scalastyle:ignore funsuite
+
+ def testAccuracy[T: ClassTag](typeName: String, numItems: Int)(itemGen:
Random => T): Unit = {
+ test(s"accuracy - $typeName") {
+ // use a fixed seed to make the test predictable.
+ val r = new Random(37)
+ val fpp = 0.05
+ val numInsertion = numItems / 10
+
+ val allItems = Array.fill(numItems)(itemGen(r))
+
+ val filter = BloomFilter.create(numInsertion, fpp)
+
+ // insert first `numInsertion` items.
+ var i = 0
+ while (i < numInsertion) {
+ filter.put(allItems(i))
+ i += 1
+ }
+
+ i = 0
+ while (i < numInsertion) {
+ // false negative is not allowed.
+ assert(filter.mightContain(allItems(i)))
+ i += 1
+ }
+
+ // The number of inserted items doesn't exceed `expectedNumItems`,
so the `expectedFpp`
+ // should not be significantly higher than the one we passed in to
create this bloom filter.
+ assert(filter.expectedFpp() - fpp < 0.001)
+
+ var errorCount = 0
+ while (i < numItems) {
+ if (filter.mightContain(allItems(i))) errorCount += 1
+ i += 1
+ }
+
+ // Also check the actual fpp is not significantly higher than we
expected.
+ val actualFpp = errorCount.toDouble / (numItems - numInsertion)
+ // Skip error count that is too small.
+ assert(errorCount < 50 || actualFpp - fpp < 0.001)
+ }
+ }
+
+ def testMergeInPlace[T: ClassTag](typeName: String, numItems:
Int)(itemGen: Random => T): Unit = {
+ test(s"mergeInPlace - $typeName") {
+ // use a fixed seed to make the test predictable.
+ val r = new Random(37)
+
+ val items1 = Array.fill(numItems / 2)(itemGen(r))
+ val items2 = Array.fill(numItems / 2)(itemGen(r))
+
+ val filter1 = BloomFilter.create(numItems)
+ items1.foreach(filter1.put)
+
+ val filter2 = BloomFilter.create(numItems)
+ items2.foreach(filter2.put)
+
+ filter1.mergeInPlace(filter2)
+
+ // After merge, `filter1` has `numItems` items which doesn't exceed
`expectedNumItems`, so the
+ // `expectedFpp` should not be significantly higher than the default
one: 3%
+ // Skip byte type as it has too little distinct values.
+ assert(typeName == "Byte" || 0.03 - filter1.expectedFpp() < 0.001)
+
+ items1.foreach(i => assert(filter1.mightContain(i)))
+ items2.foreach(i => assert(filter1.mightContain(i)))
+ }
+ }
+
+ def testItemType[T: ClassTag](typeName: String, numItems: Int)(itemGen:
Random => T): Unit = {
+ testAccuracy[T](typeName, numItems)(itemGen)
+ testMergeInPlace[T](typeName, numItems)(itemGen)
+ }
+
+ testItemType[Byte]("Byte", 200) { _.nextInt().toByte }
+
+ testItemType[Short]("Short", 1000) { _.nextInt().toShort }
+
+ testItemType[Int]("Int", 100000) { _.nextInt() }
+
+ testItemType[Long]("Long", 100000) { _.nextLong() }
+
+ testItemType[String]("String", 100000) { r =>
r.nextString(r.nextInt(512)) }
+}
--- End diff --
Would be nice to add another test case for incompatible merge (like [this
one][1]).
[1]:
https://github.com/apache/spark/pull/10893/files#diff-2d63de5e2683ff296c8b0fb058cc995dR138
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