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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.streaming
import java.{util => ju}
import java.lang.{Long => JLong}
import java.util.UUID
import scala.collection.JavaConverters._
import scala.util.control.NonFatal
import org.json4s._
import org.json4s.JsonAST.JValue
import org.json4s.JsonDSL._
import org.json4s.jackson.JsonMethods._
import org.apache.spark.annotation.InterfaceStability
/**
* Information about updates made to stateful operators in a [[StreamingQuery]] during a trigger.
*/
@InterfaceStability.Evolving
class StateOperatorProgress private[sql](
val numRowsTotal: Long,
val numRowsUpdated: Long,
val memoryUsedBytes: Long
) 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): StateOperatorProgress =
new StateOperatorProgress(numRowsTotal, newNumRowsUpdated, memoryUsedBytes)
private[sql] def jsonValue: JValue = {
("numRowsTotal" -> JInt(numRowsTotal)) ~
("numRowsUpdated" -> JInt(numRowsUpdated)) ~
("memoryUsedBytes" -> JInt(memoryUsedBytes))
}
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 An 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 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 2.1.0
*/
@InterfaceStability.Evolving
class StreamingQueryProgress private[sql](
val id: UUID,
val runId: UUID,
val name: String,
val timestamp: String,
val batchId: Long,
val durationMs: ju.Map[String, JLong],
val eventTime: ju.Map[String, String],
val stateOperators: Array[StateOperatorProgress],
val sources: Array[SourceProgress],
val sink: SinkProgress) extends Serializable {
/** The aggregate (across all sources) number of records processed in a trigger. */
def numInputRows: Long = sources.map(_.numInputRows).sum
/** The aggregate (across all sources) rate of data arriving. */
def inputRowsPerSecond: Double = sources.map(_.inputRowsPerSecond).sum
/** The aggregate (across all sources) rate at which Spark is processing data. */
def processedRowsPerSecond: Double = sources.map(_.processedRowsPerSecond).sum
/** 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))
override def toString: String = prettyJson
private[sql] def jsonValue: JValue = {
def safeDoubleToJValue(value: Double): JValue = {
if (value.isNaN || value.isInfinity) JNothing else JDouble(value)
}
/** Convert map to JValue while handling empty maps. Also, this sorts the keys. */
def safeMapToJValue[T](map: ju.Map[String, T], valueToJValue: T => JValue): JValue = {
if (map.isEmpty) return JNothing
val keys = map.asScala.keySet.toSeq.sorted
keys.map { k => k -> valueToJValue(map.get(k)) : JObject }.reduce(_ ~ _)
}
("id" -> JString(id.toString)) ~
("runId" -> JString(runId.toString)) ~
("name" -> JString(name)) ~
("timestamp" -> JString(timestamp)) ~
("batchId" -> JInt(batchId)) ~
("numInputRows" -> JInt(numInputRows)) ~
("inputRowsPerSecond" -> safeDoubleToJValue(inputRowsPerSecond)) ~
("processedRowsPerSecond" -> safeDoubleToJValue(processedRowsPerSecond)) ~
("durationMs" -> safeMapToJValue[JLong](durationMs, v => JInt(v.toLong))) ~
("eventTime" -> safeMapToJValue[String](eventTime, s => JString(s))) ~
("stateOperators" -> JArray(stateOperators.map(_.jsonValue).toList)) ~
("sources" -> JArray(sources.map(_.jsonValue).toList)) ~
("sink" -> sink.jsonValue)
}
}
/**
* Information about progress made for a source in the execution of a [[StreamingQuery]]
* during a trigger. See [[StreamingQueryProgress]] for more information.
*
* @param description Description of the source.
* @param startOffset The starting offset for data being read.
* @param endOffset The ending offset for data being read.
* @param numInputRows The number of records read from this source.
* @param inputRowsPerSecond The rate at which data is arriving from this source.
* @param processedRowsPerSecond The rate at which data from this source is being processed by
* Spark.
* @since 2.1.0
*/
@InterfaceStability.Evolving
class SourceProgress protected[sql](
val description: String,
val startOffset: String,
val endOffset: String,
val numInputRows: Long,
val inputRowsPerSecond: Double,
val processedRowsPerSecond: Double) 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))
override def toString: String = prettyJson
private[sql] def jsonValue: JValue = {
def safeDoubleToJValue(value: Double): JValue = {
if (value.isNaN || value.isInfinity) JNothing else JDouble(value)
}
("description" -> JString(description)) ~
("startOffset" -> tryParse(startOffset)) ~
("endOffset" -> tryParse(endOffset)) ~
("numInputRows" -> JInt(numInputRows)) ~
("inputRowsPerSecond" -> safeDoubleToJValue(inputRowsPerSecond)) ~
("processedRowsPerSecond" -> safeDoubleToJValue(processedRowsPerSecond))
}
private def tryParse(json: String) = try {
parse(json)
} catch {
case NonFatal(e) => JString(json)
}
}
/**
* Information about progress made for a sink in the execution of a [[StreamingQuery]]
* during a trigger. See [[StreamingQueryProgress]] for more information.
*
* @param description Description of the source corresponding to this status.
* @since 2.1.0
*/
@InterfaceStability.Evolving
class SinkProgress protected[sql](
val description: String) 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))
override def toString: String = prettyJson
private[sql] def jsonValue: JValue = {
("description" -> JString(description))
}
}
