cloud-fan commented on a change in pull request #28629:
URL: https://github.com/apache/spark/pull/28629#discussion_r446795038



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File path: core/src/test/scala/org/apache/spark/util/ThreadUtilsSuite.scala
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@@ -25,11 +25,27 @@ import scala.concurrent.duration._
 import scala.util.Random
 
 import org.scalatest.concurrent.Eventually._
+import org.slf4j.MDC
 
 import org.apache.spark.SparkFunSuite
 
 class ThreadUtilsSuite extends SparkFunSuite {
 
+  test("newDaemonSingleThreadExecutor with MDC") {
+    val appIdValue = s"appId-${System.currentTimeMillis()}"
+    MDC.put("appId", appIdValue)

Review comment:
       I mean user-facing APIs. Eventually, we have to call `MDC.put` as this 
is how MDC works.
   
   Maybe it's better to say that Spark can propagate the MDC properties to both 
driver thread pools and executor tasks. So end-users only need to call 
`MDC.put`.




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