address comments

Author: Davies Liu

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala

@@ -271,7 +271,7 @@ class CodeGenContext {
    * Splits the generated code of expressions into multiple functions, because function has
    * 64kb code size limit in JVM
    */
-  def splitExpressions(input: String, expressions: Seq[String]): String = {
+  def splitExpressions(row: String, expressions: Seq[String]): String = {
     val blocks = new ArrayBuffer[String]()
     val blockBuilder = new StringBuilder()
     for (code <- expressions) {
@@ -292,15 +292,15 @@ class CodeGenContext {
       val functions = blocks.zipWithIndex.map { case (body, i) =>
         val name = s"${apply}_$i"
         val code = s"""
-           |private void $name(InternalRow $input) {
+           |private void $name(InternalRow $row) {
            |  $body
            |}
          """.stripMargin
          addNewFunction(name, code)
          name
       }
 
-      functions.map(name => s"$name($input);").mkString("\n")
+      functions.map(name => s"$name($row);").mkString("\n")
     }
   }
 }

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/codegen/GeneratedProjectionSuite.scala

@@ -29,7 +29,7 @@ import org.apache.spark.unsafe.types.UTF8String
 class GeneratedProjectionSuite extends SparkFunSuite {
 
   test("generated projections on wider table") {
-    val N = 10
+    val N = 1000
     val wideRow1 = new GenericInternalRow((1 to N).toArray[Any])
     val schema1 = StructType((1 to N).map(i => StructField("", IntegerType)))
     val wideRow2 = new GenericInternalRow(