HeartSaVioR commented on a change in pull request #23747: 
[SPARK-26848][SQL][SS] Introduce new option to Kafka source: offset by 
timestamp (starting/ending)
URL: https://github.com/apache/spark/pull/23747#discussion_r324865820
 
 

 ##########
 File path: 
external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/JsonUtils.scala
 ##########
 @@ -68,20 +68,35 @@ private object JsonUtils {
           partOffsets.map { case (part, offset) =>
               new TopicPartition(topic, part) -> offset
           }
-      }.toMap
+      }
     } catch {
       case NonFatal(x) =>
         throw new IllegalArgumentException(
           s"""Expected e.g. {"topicA":{"0":23,"1":-1},"topicB":{"0":-2}}, got 
$str""")
     }
   }
 
+  def partitionTimestamps(str: String): Map[TopicPartition, Long] = {
+    try {
+      Serialization.read[Map[String, Map[Int, Long]]](str).flatMap { case 
(topic, partTimestamps) =>
+        partTimestamps.map { case (part, timestamp) =>
+          new TopicPartition(topic, part) -> timestamp
+        }
+      }
+    } catch {
+      case NonFatal(x) =>
+        throw new IllegalArgumentException(
+          s"""Expected e.g. {"topicA": {"0": 1549597128110, "1": 
1549597128110},
 
 Review comment:
   Hmm... that's consistent exception message with `partitionOffsets`, as it 
provides hard-code values to represent example of input. (These values just 
look oddly long, as they're representing timestamp.) Do you have suggestion to 
make it better?

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