[SPARK-29313][SQL] Fix failure on writing to noop in benchmarks

### What changes were proposed in this pull request?
In the PR, I propose to specify the save mode explicitly while writing to the `noop` datasource in benchmarks. I set `Overwrite` mode in the following benchmarks:
- JsonBenchmark
- CSVBenchmark
- UDFBenchmark
- MakeDateTimeBenchmark
- ExtractBenchmark
- DateTimeBenchmark
- NestedSchemaPruningBenchmark

### Why are the changes needed?
Otherwise writing to `noop` fails with:
```
[error] Exception in thread "main" org.apache.spark.sql.AnalysisException: TableProvider implementation noop cannot be written with ErrorIfExists mode, please use Append or Overwrite modes instead.;
[error] 	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:284)
```
most likely due to #25876

### Does this PR introduce any user-facing change?
No

### How was this patch tested?
I generated results of `ExtractBenchmark` via the command:
```
SPARK_GENERATE_BENCHMARK_FILES=1 build/sbt "sql/test:runMain org.apache.spark.sql.execution.benchmark.ExtractBenchmark"
```

Closes #25988 from MaxGekk/noop-overwrite-mode.

Authored-by: Maxim Gekk <max.gekk@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>

Author: MaxGekk

sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/DateTimeBenchmark.scala

@@ -20,6 +20,7 @@ package org.apache.spark.sql.execution.benchmark
 import java.sql.Timestamp
 
 import org.apache.spark.benchmark.Benchmark
+import org.apache.spark.sql.SaveMode.Overwrite
 import org.apache.spark.sql.internal.SQLConf
 
 /**
@@ -36,7 +37,12 @@ import org.apache.spark.sql.internal.SQLConf
  */
 object DateTimeBenchmark extends SqlBasedBenchmark {
   private def doBenchmark(cardinality: Int, exprs: String*): Unit = {
-    spark.range(cardinality).selectExpr(exprs: _*).write.format("noop").save()
+    spark.range(cardinality)
+      .selectExpr(exprs: _*)
+      .write
+      .format("noop")
+      .mode(Overwrite)
+      .save()
   }
 
   private def run(cardinality: Int, name: String, exprs: String*): Unit = {
@@ -132,7 +138,10 @@ object DateTimeBenchmark extends SqlBasedBenchmark {
       benchmark.addCase("From java.sql.Timestamp", numIters) { _ =>
         spark.range(rowsNum)
           .map(millis => new Timestamp(millis))
-          .write.format("noop").save()
+          .write
+          .format("noop")
+          .mode(Overwrite)
+          .save()
       }
       benchmark.addCase("Collect longs", numIters) { _ =>
         spark.range(0, rowsNum, 1, 1)

sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/ExtractBenchmark.scala

@@ -20,6 +20,7 @@ package org.apache.spark.sql.execution.benchmark
 import java.time.Instant
 
 import org.apache.spark.benchmark.Benchmark
+import org.apache.spark.sql.SaveMode.Overwrite
 import org.apache.spark.sql.internal.SQLConf
 
 /**
@@ -44,6 +45,7 @@ object ExtractBenchmark extends SqlBasedBenchmark {
         .selectExpr(exprs: _*)
         .write
         .format("noop")
+        .mode(Overwrite)
         .save()
     }
   }

sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/MakeDateTimeBenchmark.scala

@@ -18,6 +18,7 @@
 package org.apache.spark.sql.execution.benchmark
 
 import org.apache.spark.benchmark.Benchmark
+import org.apache.spark.sql.SaveMode.Overwrite
 import org.apache.spark.sql.internal.SQLConf
 
 /**
@@ -41,6 +42,7 @@ object MakeDateTimeBenchmark extends SqlBasedBenchmark {
         .selectExpr(exprs: _*)
         .write
         .format("noop")
+        .mode(Overwrite)
         .save()
     }
   }

sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/NestedSchemaPruningBenchmark.scala

@@ -18,6 +18,7 @@
 package org.apache.spark.sql.execution.benchmark
 
 import org.apache.spark.benchmark.Benchmark
+import org.apache.spark.sql.SaveMode.Overwrite
 import org.apache.spark.sql.internal.SQLConf
 
 /**
@@ -47,7 +48,11 @@ abstract class NestedSchemaPruningBenchmark extends SqlBasedBenchmark {
 
   private def addCase(benchmark: Benchmark, name: String, sql: String): Unit = {
     benchmark.addCase(name) { _ =>
-      spark.sql(sql).write.format("noop").save()
+      spark.sql(sql)
+        .write
+        .format("noop")
+        .mode(Overwrite)
+        .save()
     }
   }
 

sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/UDFBenchmark.scala

@@ -18,6 +18,7 @@
 package org.apache.spark.sql.execution.benchmark
 
 import org.apache.spark.benchmark.Benchmark
+import org.apache.spark.sql.SaveMode.Overwrite
 import org.apache.spark.sql.catalyst.expressions.Literal
 import org.apache.spark.sql.expressions.UserDefinedFunction
 import org.apache.spark.sql.functions._
@@ -42,16 +43,25 @@ object UDFBenchmark extends SqlBasedBenchmark {
     val nullableIntCol = when(
       idCol % 2 === 0, idCol.cast(IntegerType)).otherwise(Literal(null, IntegerType))
     val stringCol = idCol.cast(StringType)
-    spark.range(cardinality).select(
-      udf(idCol, nullableIntCol, stringCol)).write.format("noop").save()
+    spark.range(cardinality)
+      .select(udf(idCol, nullableIntCol, stringCol))
+      .write
+      .format("noop")
+      .mode(Overwrite)
+      .save()
   }
 
   private def doRunBenchmarkWithPrimitiveTypes(
       udf: UserDefinedFunction, cardinality: Int): Unit = {
     val idCol = col("id")
     val nullableIntCol = when(
       idCol % 2 === 0, idCol.cast(IntegerType)).otherwise(Literal(null, IntegerType))
-    spark.range(cardinality).select(udf(idCol, nullableIntCol)).write.format("noop").save()
+    spark.range(cardinality)
+      .select(udf(idCol, nullableIntCol))
+      .write
+      .format("noop")
+      .mode(Overwrite)
+      .save()
   }
 
   override def runBenchmarkSuite(mainArgs: Array[String]): Unit = {
@@ -104,16 +114,25 @@ object UDFBenchmark extends SqlBasedBenchmark {
       val benchmark = new Benchmark("UDF identity overhead", cardinality, output = output)
 
       benchmark.addCase(s"Baseline", numIters = 5) { _ =>
-        spark.range(cardinality).select(
-          col("id"), col("id") * 2, col("id") * 3).write.format("noop").save()
+        spark.range(cardinality)
+          .select(col("id"), col("id") * 2, col("id") * 3)
+          .write
+          .format("noop")
+          .mode(Overwrite)
+          .save()
       }
 
       val identityUDF = udf { x: Long => x }
       benchmark.addCase(s"With identity UDF", numIters = 5) { _ =>
-        spark.range(cardinality).select(
-          identityUDF(col("id")),
-          identityUDF(col("id") * 2),
-          identityUDF(col("id") * 3)).write.format("noop").save()
+        spark.range(cardinality)
+          .select(
+            identityUDF(col("id")),
+            identityUDF(col("id") * 2),
+            identityUDF(col("id") * 3))
+          .write
+          .format("noop")
+          .mode(Overwrite)
+          .save()
       }
 
       benchmark.run()

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVBenchmark.scala

@@ -21,6 +21,7 @@ import java.time.{Instant, LocalDate}
 
 import org.apache.spark.benchmark.Benchmark
 import org.apache.spark.sql.{Column, Dataset, Row}
+import org.apache.spark.sql.SaveMode.Overwrite
 import org.apache.spark.sql.execution.benchmark.SqlBasedBenchmark
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.types._
@@ -42,7 +43,9 @@ import org.apache.spark.sql.types._
 object CSVBenchmark extends SqlBasedBenchmark {
   import spark.implicits._
 
-  private def toNoop(ds: Dataset[_]): Unit = ds.write.format("noop").save()
+  private def toNoop(ds: Dataset[_]): Unit = {
+    ds.write.format("noop").mode(Overwrite).save()
+  }
 
   private def quotedValuesBenchmark(rowsNum: Int, numIters: Int): Unit = {
     val benchmark = new Benchmark(s"Parsing quoted values", rowsNum, output = output)

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/json/JsonBenchmark.scala

@@ -21,6 +21,7 @@ import java.time.{Instant, LocalDate}
 
 import org.apache.spark.benchmark.Benchmark
 import org.apache.spark.sql.{Dataset, Row}
+import org.apache.spark.sql.SaveMode.Overwrite
 import org.apache.spark.sql.execution.benchmark.SqlBasedBenchmark
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.types._
@@ -49,7 +50,7 @@ object JSONBenchmark extends SqlBasedBenchmark {
   }
 
   private def run(ds: Dataset[_]): Unit = {
-    ds.write.format("noop").save()
+    ds.write.format("noop").mode(Overwrite).save()
   }
 
   def schemaInferring(rowsNum: Int, numIters: Int): Unit = {