HeartSaVioR commented on a change in pull request #26109: [SPARK-29461][SQL] 
Measure the number of records being updated for JDBC writer
URL: https://github.com/apache/spark/pull/26109#discussion_r337864313
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
 ##########
 @@ -615,7 +615,7 @@ object JdbcUtils extends Logging {
       batchSize: Int,
       dialect: JdbcDialect,
       isolationLevel: Int,
-      options: JDBCOptions): Iterator[Byte] = {
+      options: JDBCOptions): Long = {
 
 Review comment:
   Yeah but looks like SparkHadoopWriter just updates the metric for any output 
being written - maybe that's because of nonexistence of transaction. If we take 
transaction into account, it would make sense to only update metric when the 
transaction is committed, but we *might* also want to update metric when both 
`committed` and `supportsTransactions` are false to reflect metric for dirty 
outputs. WDYT?

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