bogao007 commented on code in PR #40892:
URL: https://github.com/apache/spark/pull/40892#discussion_r1173392468
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connector/connect/client/jvm/src/main/scala/org/apache/spark/sql/streaming/progress.scala:
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@@ -17,6 +17,297 @@
package org.apache.spark.sql.streaming
-class StreamingQueryProgress private[sql] (val json: String) {
- // TODO(SPARK-43128): (Implement full object by parsing from json).
+import java.{util => ju}
+import java.lang.{Long => JLong}
+import java.util.UUID
+
+import scala.collection.JavaConverters._
+import scala.util.control.NonFatal
+
+import com.fasterxml.jackson.annotation.{JsonSetter, Nulls}
+import com.fasterxml.jackson.databind.annotation.JsonDeserialize
+import org.json4s._
+import org.json4s.JsonAST.JValue
+import org.json4s.JsonDSL._
+import org.json4s.jackson.JsonMethods._
+
+import org.apache.spark.annotation.Evolving
+import org.apache.spark.sql.Row
+import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
+import org.apache.spark.sql.streaming.SafeJsonSerializer.{safeDoubleToJValue,
safeMapToJValue}
+import org.apache.spark.sql.streaming.SinkProgress.DEFAULT_NUM_OUTPUT_ROWS
+
+/**
+ * Information about updates made to stateful operators in a
[[StreamingQuery]] during a trigger.
+ */
+@Evolving
+class StateOperatorProgress private[spark] (
+ val operatorName: String,
+ val numRowsTotal: Long,
+ val numRowsUpdated: Long,
+ val allUpdatesTimeMs: Long,
+ val numRowsRemoved: Long,
+ val allRemovalsTimeMs: Long,
+ val commitTimeMs: Long,
+ val memoryUsedBytes: Long,
+ val numRowsDroppedByWatermark: Long,
+ val numShufflePartitions: Long,
+ val numStateStoreInstances: Long,
+ val customMetrics: ju.Map[String, JLong] = new ju.HashMap())
+ extends Serializable {
+
+ /** The compact JSON representation of this progress. */
+ def json: String = compact(render(jsonValue))
+
+ /** The pretty (i.e. indented) JSON representation of this progress. */
+ def prettyJson: String = pretty(render(jsonValue))
+
+ private[sql] def copy(
+ newNumRowsUpdated: Long,
+ newNumRowsDroppedByWatermark: Long): StateOperatorProgress =
+ new StateOperatorProgress(
+ operatorName = operatorName,
+ numRowsTotal = numRowsTotal,
+ numRowsUpdated = newNumRowsUpdated,
+ allUpdatesTimeMs = allUpdatesTimeMs,
+ numRowsRemoved = numRowsRemoved,
+ allRemovalsTimeMs = allRemovalsTimeMs,
+ commitTimeMs = commitTimeMs,
+ memoryUsedBytes = memoryUsedBytes,
+ numRowsDroppedByWatermark = newNumRowsDroppedByWatermark,
+ numShufflePartitions = numShufflePartitions,
+ numStateStoreInstances = numStateStoreInstances,
+ customMetrics = customMetrics)
+
+ private[sql] def jsonValue: JValue = {
+ ("operatorName" -> JString(operatorName)) ~
+ ("numRowsTotal" -> JInt(numRowsTotal)) ~
+ ("numRowsUpdated" -> JInt(numRowsUpdated)) ~
+ ("allUpdatesTimeMs" -> JInt(allUpdatesTimeMs)) ~
+ ("numRowsRemoved" -> JInt(numRowsRemoved)) ~
+ ("allRemovalsTimeMs" -> JInt(allRemovalsTimeMs)) ~
+ ("commitTimeMs" -> JInt(commitTimeMs)) ~
+ ("memoryUsedBytes" -> JInt(memoryUsedBytes)) ~
+ ("numRowsDroppedByWatermark" -> JInt(numRowsDroppedByWatermark)) ~
+ ("numShufflePartitions" -> JInt(numShufflePartitions)) ~
+ ("numStateStoreInstances" -> JInt(numStateStoreInstances)) ~
+ ("customMetrics" -> {
+ if (!customMetrics.isEmpty) {
+ val keys = customMetrics.keySet.asScala.toSeq.sorted
+ keys.map { k => k -> JInt(customMetrics.get(k).toLong): JObject
}.reduce(_ ~ _)
+ } else {
+ JNothing
+ }
+ })
+ }
+
+ override def toString: String = prettyJson
+}
+
+/**
+ * Information about progress made in the execution of a [[StreamingQuery]]
during a trigger. Each
+ * event relates to processing done for a single trigger of the streaming
query. Events are
+ * emitted even when no new data is available to be processed.
+ *
+ * @param id
+ * A unique query id that persists across restarts. See
`StreamingQuery.id()`.
+ * @param runId
+ * A query id that is unique for every start/restart. See
`StreamingQuery.runId()`.
+ * @param name
+ * User-specified name of the query, null if not specified.
+ * @param timestamp
+ * Beginning time of the trigger in ISO8601 format, i.e. UTC timestamps.
+ * @param batchId
+ * A unique id for the current batch of data being processed. Note that in
the case of retries
+ * after a failure a given batchId my be executed more than once. Similarly,
when there is no
+ * data to be processed, the batchId will not be incremented.
+ * @param batchDuration
+ * The process duration of each batch.
+ * @param durationMs
+ * The amount of time taken to perform various operations in milliseconds.
+ * @param eventTime
+ * Statistics of event time seen in this batch. It may contain the following
keys:
+ * {{{
+ * "max" -> "2016-12-05T20:54:20.827Z" // maximum event
time seen in this trigger
+ * "min" -> "2016-12-05T20:54:20.827Z" // minimum event
time seen in this trigger
+ * "avg" -> "2016-12-05T20:54:20.827Z" // average event
time seen in this trigger
+ * "watermark" -> "2016-12-05T20:54:20.827Z" // watermark
used in this trigger
+ * }}}
+ * All timestamps are in ISO8601 format, i.e. UTC timestamps.
+ * @param stateOperators
+ * Information about operators in the query that store state.
+ * @param sources
+ * detailed statistics on data being read from each of the streaming sources.
+ * @since 3.5.0
+ */
+@Evolving
+class StreamingQueryProgress private[spark] (
+ val id: UUID,
+ val runId: UUID,
+ val name: String,
+ val timestamp: String,
+ val batchId: Long,
+ val batchDuration: Long,
+ val durationMs: ju.Map[String, JLong],
+ val eventTime: ju.Map[String, String],
+ val stateOperators: Array[StateOperatorProgress],
+ val sources: Array[SourceProgress],
+ val sink: SinkProgress,
+ @JsonSetter(nulls = Nulls.AS_EMPTY)
+ @JsonDeserialize(contentAs = classOf[GenericRowWithSchema])
+ val observedMetrics: ju.Map[String, Row])
+ extends Serializable {
+
+ /** The aggregate (across all sources) number of records processed in a
trigger. */
+ def numInputRows: Long = sources.map(_.numInputRows).sum
Review Comment:
Aggregated metrics like `numInputRows`, `inputRowsPerSecond` and
`processedRowsPerSecond` are being calculated inside this class. Can they be
safely deserialized from json string? Might also worth to add them into the
test case.
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