Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/21221#discussion_r195751572
--- Diff: core/src/main/scala/org/apache/spark/status/api/v1/api.scala ---
@@ -98,14 +101,53 @@ class ExecutorSummary private[spark](
val removeReason: Option[String],
val executorLogs: Map[String, String],
val memoryMetrics: Option[MemoryMetrics],
- val blacklistedInStages: Set[Int])
+ val blacklistedInStages: Set[Int],
+ @JsonSerialize(using = classOf[PeakMemoryMetricsSerializer])
+ @JsonDeserialize(using = classOf[PeakMemoryMetricsDeserializer])
+ val peakMemoryMetrics: Option[Array[Long]])
class MemoryMetrics private[spark](
val usedOnHeapStorageMemory: Long,
val usedOffHeapStorageMemory: Long,
val totalOnHeapStorageMemory: Long,
val totalOffHeapStorageMemory: Long)
+/** deserialzer for peakMemoryMetrics: convert to array ordered by metric
name */
+class PeakMemoryMetricsDeserializer extends
JsonDeserializer[Option[Array[Long]]] {
+ override def deserialize(
+ jsonParser: JsonParser,
+ deserializationContext: DeserializationContext): Option[Array[Long]]
= {
+ val metricsMap = jsonParser.readValueAs(classOf[Option[Map[String,
Object]]])
--- End diff --
ok I remember now -- the problem is that `classOf` just has the erased
type. But jackson has something to get around this, with its `TypeReference`:
```scala
val json = """{"a":1,"b":2147483648}"""
val parsedWithTRef = mapper.readValue[Option[Map[String, Long]]](json, new
TypeReference[Option[Map[String, java.lang.Long]]] {})
val parsedWithClass = mapper.readValue(json, classOf[Option[Map[String,
java.lang.Long]]])
scala> parsedWithTRef.get.get("a").get
res26: Long = 1
scala> parsedWithClass.get.get("a").get
java.lang.ClassCastException: java.lang.Integer cannot be cast to
java.lang.Long
... 48 elided
```
I think there is another scala-specific api to avoid repeating the type
twice ... but also wouldn't really worry about it
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