public class StreamingQueryProgress
extends Object
implements scala.Serializable
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.Modifier and Type | Method and Description |
---|---|
long |
batchDuration() |
long |
batchId() |
java.util.Map<String,Long> |
durationMs() |
java.util.Map<String,String> |
eventTime() |
java.util.UUID |
id() |
double |
inputRowsPerSecond()
The aggregate (across all sources) rate of data arriving.
|
String |
json()
The compact JSON representation of this progress.
|
String |
name() |
long |
numInputRows()
The aggregate (across all sources) number of records processed in a trigger.
|
java.util.Map<String,Row> |
observedMetrics() |
String |
prettyJson()
The pretty (i.e.
|
double |
processedRowsPerSecond()
The aggregate (across all sources) rate at which Spark is processing data.
|
java.util.UUID |
runId() |
SinkProgress |
sink() |
SourceProgress[] |
sources() |
StateOperatorProgress[] |
stateOperators() |
String |
timestamp() |
String |
toString() |
public long batchDuration()
public long batchId()
public java.util.Map<String,Long> durationMs()
public java.util.Map<String,String> eventTime()
public java.util.UUID id()
public double inputRowsPerSecond()
public String json()
public String name()
public long numInputRows()
public java.util.Map<String,Row> observedMetrics()
public String prettyJson()
public double processedRowsPerSecond()
public java.util.UUID runId()
public SinkProgress sink()
public SourceProgress[] sources()
public StateOperatorProgress[] stateOperators()
public String timestamp()
public String toString()
toString
in class Object