Class JobsRecord
- All Implemented Interfaces:
JsonpSerializable
- See Also:
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Nested Class Summary
Nested Classes -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final JsonpDeserializer<JobsRecord>Json deserializer forJobsRecord -
Method Summary
Modifier and TypeMethodDescriptionfinal Stringwhy the job is or is not assigned to a nodefinal Stringbucket countfinal Stringexponential average bucket processing time (milliseconds)final Stringexponential average bucket processing time by hour (milliseconds)final Stringmaximum bucket processing timefinal Stringminimum bucket processing timefinal Stringtotal bucket processing timefinal Stringtotal bucket countfinal Stringearliest record timefinal Stringnumber of empty bucketsfinal Stringtotal input bytesfinal Stringtotal field countfinal Stringtotal record countfinal Stringnumber of records with invalid datesfinal StringdataLast()last time data was seenfinal Stringlast time an empty bucket occurredfinal Stringlast time a sparse bucket occurredfinal Stringlatest record timefinal Stringnumber of records with missing fieldsfinal Stringnumber of records handled out of orderfinal Stringnumber of processed fieldsfinal Stringnumber of processed recordsfinal Stringnumber of sparse bucketsfinal Stringaverage memory used by forecastsfinal Stringmaximum memory used by forecastsfinal Stringminimum memory used by forecastsfinal Stringtotal memory used by all forecastsfinal Stringaverage record count for forecastsfinal Stringmaximum record count for forecastsfinal Stringminimum record count for forecastsfinal Stringtotal record count for all forecastsfinal Stringaverage runtime for all forecasts (milliseconds)final Stringmaximum run time for forecastsfinal Stringminimum runtime for forecastsfinal Stringtotal runtime for all forecastsfinal Stringtotal number of forecastsfinal Stringid()the job_idfinal Stringnumber of bucket allocation failuresfinal Stringcount of 'by' fieldsfinal Stringmodel sizefinal Stringhow much the model has exceeded the limitfinal CategorizationStatuscurrent categorization statusfinal Stringcount of categorized documentsfinal Stringcount of dead categoriesfinal Stringcount of failed categoriesfinal Stringcount of frequent categoriesfinal Stringwhen the model stats were gatheredfinal Stringmodel memory limitfinal MemoryStatuscurrent memory statusfinal Stringcount of 'over' fieldsfinal Stringcount of 'partition' fieldsfinal Stringcount of rare categoriesfinal Stringthe time of the last record when the model stats were gatheredfinal Stringcount of categoriesfinal Stringnetwork address of the assigned nodefinal Stringephemeral id of the assigned nodefinal StringnodeId()id of the assigned nodefinal StringnodeName()name of the assigned nodestatic JobsRecordfinal Stringthe amount of time the job has been openedvoidserialize(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) Serialize this object to JSON.protected voidserializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) protected static voidfinal JobStatestate()the job statetoString()
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Field Details
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_DESERIALIZER
Json deserializer forJobsRecord
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Method Details
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of
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id
the job_idAPI name:
id -
state
the job stateAPI name:
state -
openedTime
the amount of time the job has been openedAPI name:
opened_time -
assignmentExplanation
why the job is or is not assigned to a nodeAPI name:
assignment_explanation -
dataProcessedRecords
number of processed recordsAPI name:
data.processed_records -
dataProcessedFields
number of processed fieldsAPI name:
data.processed_fields -
dataInputBytes
total input bytesAPI name:
data.input_bytes -
dataInputRecords
total record countAPI name:
data.input_records -
dataInputFields
total field countAPI name:
data.input_fields -
dataInvalidDates
number of records with invalid datesAPI name:
data.invalid_dates -
dataMissingFields
number of records with missing fieldsAPI name:
data.missing_fields -
dataOutOfOrderTimestamps
number of records handled out of orderAPI name:
data.out_of_order_timestamps -
dataEmptyBuckets
number of empty bucketsAPI name:
data.empty_buckets -
dataSparseBuckets
number of sparse bucketsAPI name:
data.sparse_buckets -
dataBuckets
total bucket countAPI name:
data.buckets -
dataEarliestRecord
earliest record timeAPI name:
data.earliest_record -
dataLatestRecord
latest record timeAPI name:
data.latest_record -
dataLast
last time data was seenAPI name:
data.last -
dataLastEmptyBucket
last time an empty bucket occurredAPI name:
data.last_empty_bucket -
dataLastSparseBucket
last time a sparse bucket occurredAPI name:
data.last_sparse_bucket -
modelBytes
model sizeAPI name:
model.bytes -
modelMemoryStatus
current memory statusAPI name:
model.memory_status -
modelBytesExceeded
how much the model has exceeded the limitAPI name:
model.bytes_exceeded -
modelMemoryLimit
model memory limitAPI name:
model.memory_limit -
modelByFields
count of 'by' fieldsAPI name:
model.by_fields -
modelOverFields
count of 'over' fieldsAPI name:
model.over_fields -
modelPartitionFields
count of 'partition' fieldsAPI name:
model.partition_fields -
modelBucketAllocationFailures
number of bucket allocation failuresAPI name:
model.bucket_allocation_failures -
modelCategorizationStatus
current categorization statusAPI name:
model.categorization_status -
modelCategorizedDocCount
count of categorized documentsAPI name:
model.categorized_doc_count -
modelTotalCategoryCount
count of categoriesAPI name:
model.total_category_count -
modelFrequentCategoryCount
count of frequent categoriesAPI name:
model.frequent_category_count -
modelRareCategoryCount
count of rare categoriesAPI name:
model.rare_category_count -
modelDeadCategoryCount
count of dead categoriesAPI name:
model.dead_category_count -
modelFailedCategoryCount
count of failed categoriesAPI name:
model.failed_category_count -
modelLogTime
when the model stats were gatheredAPI name:
model.log_time -
modelTimestamp
the time of the last record when the model stats were gatheredAPI name:
model.timestamp -
forecastsTotal
total number of forecastsAPI name:
forecasts.total -
forecastsMemoryMin
minimum memory used by forecastsAPI name:
forecasts.memory.min -
forecastsMemoryMax
maximum memory used by forecastsAPI name:
forecasts.memory.max -
forecastsMemoryAvg
average memory used by forecastsAPI name:
forecasts.memory.avg -
forecastsMemoryTotal
total memory used by all forecastsAPI name:
forecasts.memory.total -
forecastsRecordsMin
minimum record count for forecastsAPI name:
forecasts.records.min -
forecastsRecordsMax
maximum record count for forecastsAPI name:
forecasts.records.max -
forecastsRecordsAvg
average record count for forecastsAPI name:
forecasts.records.avg -
forecastsRecordsTotal
total record count for all forecastsAPI name:
forecasts.records.total -
forecastsTimeMin
minimum runtime for forecastsAPI name:
forecasts.time.min -
forecastsTimeMax
maximum run time for forecastsAPI name:
forecasts.time.max -
forecastsTimeAvg
average runtime for all forecasts (milliseconds)API name:
forecasts.time.avg -
forecastsTimeTotal
total runtime for all forecastsAPI name:
forecasts.time.total -
nodeId
id of the assigned nodeAPI name:
node.id -
nodeName
name of the assigned nodeAPI name:
node.name -
nodeEphemeralId
ephemeral id of the assigned nodeAPI name:
node.ephemeral_id -
nodeAddress
network address of the assigned nodeAPI name:
node.address -
bucketsCount
bucket countAPI name:
buckets.count -
bucketsTimeTotal
total bucket processing timeAPI name:
buckets.time.total -
bucketsTimeMin
minimum bucket processing timeAPI name:
buckets.time.min -
bucketsTimeMax
maximum bucket processing timeAPI name:
buckets.time.max -
bucketsTimeExpAvg
exponential average bucket processing time (milliseconds)API name:
buckets.time.exp_avg -
bucketsTimeExpAvgHour
exponential average bucket processing time by hour (milliseconds)API name:
buckets.time.exp_avg_hour -
serialize
Serialize this object to JSON.- Specified by:
serializein interfaceJsonpSerializable
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serializeInternal
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toString
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setupJobsRecordDeserializer
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