Add UT

Signed-off-by: Chen Dai <[email protected]>

flint-spark-integration/src/main/scala/org/opensearch/flint/spark/skipping/bloomfilter/BloomFilterMightContain.scala

@@ -16,7 +16,7 @@ import org.apache.spark.sql.catalyst.expressions.{BinaryComparison, Expression}
 import org.apache.spark.sql.catalyst.expressions.codegen.{CodegenContext, ExprCode}
 import org.apache.spark.sql.catalyst.expressions.codegen.Block.BlockHelper
 import org.apache.spark.sql.functions.{col, lit}
-import org.apache.spark.sql.types.{BooleanType, DataType}
+import org.apache.spark.sql.types._
 
 /**
  * Bloom filter function that returns the membership check result for values of `valueExpression`
@@ -42,7 +42,18 @@ case class BloomFilterMightContain(bloomFilterExpression: Expression, valueExpre
 
   override def symbol: String = "BLOOM_FILTER_MIGHT_CONTAIN"
 
-  override def checkInputDataTypes(): TypeCheckResult = TypeCheckResult.TypeCheckSuccess
+  override def checkInputDataTypes(): TypeCheckResult = {
+    (left.dataType, right.dataType) match {
+      case (BinaryType, NullType) | (NullType, LongType) | (NullType, NullType) |
+          (BinaryType, LongType) =>
+        TypeCheckResult.TypeCheckSuccess
+      case _ =>
+        TypeCheckResult.TypeCheckFailure(s"""
+           | Input to function $prettyName should be Binary expression followed by a Long value,
+           | but it's [${left.dataType.catalogString}, ${right.dataType.catalogString}].
+           | """.stripMargin)
+    }
+  }
 
   override protected def withNewChildrenInternal(
       newBloomFilterExpression: Expression,

flint-spark-integration/src/test/scala/org/opensearch/flint/spark/skipping/bloomfilter/BloomFilterMightContainSuite.scala

@@ -0,0 +1,45 @@
+/*
+ * Copyright OpenSearch Contributors
+ * SPDX-License-Identifier: Apache-2.0
+ */
+
+package org.opensearch.flint.spark.skipping.bloomfilter
+
+import org.apache.spark.FlintSuite
+import org.apache.spark.sql.catalyst.analysis.TypeCheckResult._
+import org.apache.spark.sql.catalyst.expressions.Literal
+import org.apache.spark.sql.types.{BinaryType, DoubleType, LongType, StringType}
+import org.apache.spark.unsafe.types.UTF8String
+
+class BloomFilterMightContainSuite extends FlintSuite {
+
+  test("checkInputDataTypes should succeed for valid input types") {
+    val binaryExpression = Literal(Array[Byte](1, 2, 3), BinaryType)
+    val longExpression = Literal(42L, LongType)
+
+    val bloomFilterMightContain = BloomFilterMightContain(binaryExpression, longExpression)
+    assert(bloomFilterMightContain.checkInputDataTypes() == TypeCheckSuccess)
+  }
+
+  test("checkInputDataTypes should succeed for valid input types with nulls") {
+    val binaryExpression = Literal.create(null, BinaryType)
+    val longExpression = Literal.create(null, LongType)
+
+    val bloomFilterMightContain = BloomFilterMightContain(binaryExpression, longExpression)
+    assert(bloomFilterMightContain.checkInputDataTypes() == TypeCheckSuccess)
+  }
+
+  test("checkInputDataTypes should fail for invalid input types") {
+    val stringExpression = Literal(UTF8String.fromString("invalid"), StringType)
+    val doubleExpression = Literal(3.14, DoubleType)
+
+    val bloomFilterMightContain = BloomFilterMightContain(stringExpression, doubleExpression)
+    val expectedErrorMsg =
+      s"""
+         | Input to function bloom_filter_might_contain should be Binary expression followed by a Long value,
+         | but it's [${stringExpression.dataType.catalogString}, ${doubleExpression.dataType.catalogString}].
+         | """.stripMargin
+
+    assert(bloomFilterMightContain.checkInputDataTypes() == TypeCheckFailure(expectedErrorMsg))
+  }
+}