Add Spark 3.5 support (#514)

* Add Spark 3.5 support

* Replace with DataTypeUtils.fromAttributes

* Remove unintended new line

pom.xml

@@ -6,7 +6,7 @@
 
     <groupId>com.amazon.deequ</groupId>
     <artifactId>deequ</artifactId>
-    <version>2.0.6-spark-3.4</version>
+    <version>2.0.6-spark-3.5</version>
 
     <properties>
         <maven.compiler.source>1.8</maven.compiler.source>
@@ -18,7 +18,7 @@
         <artifact.scala.version>${scala.major.version}</artifact.scala.version>
         <scala-maven-plugin.version>4.8.1</scala-maven-plugin.version>
 
-        <spark.version>3.4.1</spark.version>
+        <spark.version>3.5.0</spark.version>
     </properties>
 
     <name>deequ</name>

src/main/scala/com/amazon/deequ/analyzers/catalyst/StatefulHyperloglogPlus.scala

@@ -27,6 +27,7 @@ import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.types._
 import org.apache.spark.sql.catalyst.expressions.aggregate.HLLConstants._
 import org.apache.spark.sql.catalyst.trees.UnaryLike
+import org.apache.spark.sql.catalyst.types.DataTypeUtils
 
 /** Adjusted version of org.apache.spark.sql.catalyst.expressions.aggregate.HyperloglogPlus */
 private[sql] case class StatefulHyperloglogPlus(
@@ -59,7 +60,7 @@ private[sql] case class StatefulHyperloglogPlus(
 
   override def dataType: DataType = BinaryType
 
-  override def aggBufferSchema: StructType = StructType.fromAttributes(aggBufferAttributes)
+  override def aggBufferSchema: StructType = DataTypeUtils.fromAttributes(aggBufferAttributes)
 
   /** Allocate enough words to store all registers. */
   override val aggBufferAttributes: Seq[AttributeReference] = Seq.tabulate(NUM_WORDS) { i =>