[NSE-958] Fix SQLMetrics inaccuracy in JVM/Native R2C and CoalesceBatcth

arrow-data-source/common/src/main/scala/com/intel/oap/sql/execution/RowToArrowColumnarExec.scala

@@ -297,7 +297,7 @@ case class RowToArrowColumnarExec(child: SparkPlan) extends UnaryExecNode {
               rowCount += 1
             }
             vectors.foreach(v => v.asInstanceOf[ArrowWritableColumnVector].setValueCount(rowCount))
-            processTime.set(NANOSECONDS.toMillis(elapse))
+            processTime += NANOSECONDS.toMillis(elapse)
             numInputRows += rowCount
             numOutputBatches += 1
             last_cb = new ColumnarBatch(vectors.toArray, rowCount)

native-sql-engine/core/src/main/scala/com/intel/oap/execution/ArrowCoalesceBatchesExec.scala

@@ -102,7 +102,6 @@ case class ArrowCoalesceBatchesExec(child: SparkPlan) extends UnaryExecNode {
             val arrBufSizes = new ArrayBuffer[Array[Long]]()
             val numrows = ListBuffer[Int]()
 
-            val beforeConcat = System.nanoTime
             while (hasNext && rowCount < recordsPerBatch) {
               val delta: ColumnarBatch = iter.next()
               delta.retain()
@@ -134,16 +133,17 @@ case class ArrowCoalesceBatchesExec(child: SparkPlan) extends UnaryExecNode {
             val schema = new Schema(expected_output_arrow_fields.asJava)
             val arrowSchema = ConverterUtils.getSchemaBytesBuf(schema)
 
+            val beforeConcat = System.nanoTime
             val serializedRecordBatch = jniWrapper.nativeCoalesceBatches(
               arrowSchema, rowCount, numrows.toArray, arrBufAddrs.toArray, arrBufSizes.toArray,
               SparkMemoryUtils.contextMemoryPool().getNativeInstanceId)
+            concatTime += System.nanoTime - beforeConcat
             val rb = UnsafeRecordBatchSerializer.deserializeUnsafe(SparkMemoryUtils.contextAllocator(), serializedRecordBatch)
             val ColVecArr = ConverterUtils.fromArrowRecordBatch(schema, rb)
             val outputNumRows = rb.getLength
             ConverterUtils.releaseArrowRecordBatch(rb)
             val bigColBatch = new ColumnarBatch(ColVecArr.map(v => v.asInstanceOf[ColumnVector]).toArray, rowCount)
 
-            concatTime += System.nanoTime - beforeConcat
             numOutputRows += rowCount
             numInputBatches += batchesToAppend.length
             numOutputBatches += 1

native-sql-engine/core/src/main/scala/com/intel/oap/execution/ArrowRowToColumnarExec.scala

@@ -146,7 +146,6 @@ case class ArrowRowToColumnarExec(child: SparkPlan) extends UnaryExecNode {
               val rowLength = new ListBuffer[Long]()
               var rowCount = 0
               var offset = 0
-              val start = System.nanoTime()
 
               assert(firstRow.isInstanceOf[UnsafeRow])
               val unsafeRow = firstRow.asInstanceOf[UnsafeRow]
@@ -180,8 +179,10 @@ case class ArrowRowToColumnarExec(child: SparkPlan) extends UnaryExecNode {
               if (schemaBytes == null) {
                 schemaBytes = ConverterUtils.getSchemaBytesBuf(arrowSchema)
               }
+              val start = System.nanoTime()
               val serializedRecordBatch = jniWrapper.nativeConvertRowToColumnar(schemaBytes, rowLength.toArray,
                 arrowBuf.memoryAddress(), SparkMemoryUtils.contextMemoryPool().getNativeInstanceId)
+              elapse = System.nanoTime() - start
               numInputRows += rowCount
               numOutputBatches += 1
               val rb = UnsafeRecordBatchSerializer.deserializeUnsafe(allocator, serializedRecordBatch)
@@ -190,8 +191,7 @@ case class ArrowRowToColumnarExec(child: SparkPlan) extends UnaryExecNode {
               ConverterUtils.releaseArrowRecordBatch(rb)
               arrowBuf.close()
               last_cb = new ColumnarBatch(output.map(v => v.asInstanceOf[ColumnVector]).toArray, outputNumRows)
-              elapse = System.nanoTime() - start
-              processTime.set(NANOSECONDS.toMillis(elapse))
+              processTime += NANOSECONDS.toMillis(elapse)
               last_cb
             } else {
               logInfo("not unsaferow, fallback to java based r2c")
@@ -212,7 +212,7 @@ case class ArrowRowToColumnarExec(child: SparkPlan) extends UnaryExecNode {
                 rowCount += 1
               }
               vectors.foreach(v => v.asInstanceOf[ArrowWritableColumnVector].setValueCount(rowCount))
-              processTime.set(NANOSECONDS.toMillis(elapse))
+              processTime += NANOSECONDS.toMillis(elapse)
               numInputRows += rowCount
               numOutputBatches += 1
               last_cb = new ColumnarBatch(vectors.toArray, rowCount)