curl -X GET "https://localhost:9200/_cat/ml/anomaly_detectors?v=true&pretty" --cacert $ES_HOME/config/certs/http_ca.crt -u "elastic:ohCxPH=QBE+s5=*lo7F9"
执行结果输出如下：
curl -X GET "https://localhost:9200/_cat/ml/anomaly_detectors?v=true&pretty" --cacert $ES_HOME/config/certs/http_ca.crt -u "elastic:ohCxPH=QBE+s5=*lo7F9"
id state data.processed_records model.bytes model.memory_status forecasts.total buckets.count
查看帮助，命令如下：
curl -X GET "https://localhost:9200/_cat/ml/anomaly_detectors?v=true&help=true&pretty" --cacert $ES_HOME/config/certs/http_ca.crt -u "elastic:ohCxPH=QBE+s5=*lo7F9"
执行结果输出如下：
id | | the job_id
state | s | the job state
opened_time | ot | the amount of time the job has been opened
assignment_explanation | ae | why the job is or is not assigned to a node
data.processed_records | dpr,dataProcessedRecords | number of processed records
data.processed_fields | dpf,dataProcessedFields | number of processed fields
data.input_bytes | dib,dataInputBytes | total input bytes
data.input_records | dir,dataInputRecords | total record count
data.input_fields | dif,dataInputFields | total field count
data.invalid_dates | did,dataInvalidDates | number of records with invalid dates
data.missing_fields | dmf,dataMissingFields | number of records with missing fields
data.out_of_order_timestamps | doot,dataOutOfOrderTimestamps | number of records handled out of order
data.empty_buckets | deb,dataEmptyBuckets | number of empty buckets
data.sparse_buckets | dsb,dataSparseBuckets | number of sparse buckets
data.buckets | db,dataBuckets | total bucket count
data.earliest_record | der,dataEarliestRecord | earliest record time
data.latest_record | dlr,dataLatestRecord | latest record time
data.last | dl,dataLast | last time data was seen
data.last_empty_bucket | dleb,dataLastEmptyBucket | last time an empty bucket occurred
data.last_sparse_bucket | dlsb,dataLastSparseBucket | last time a sparse bucket occurred
model.bytes | mb,modelBytes | model size
model.memory_status | mms,modelMemoryStatus | current memory status
model.bytes_exceeded | mbe,modelBytesExceeded | how much the model has exceeded the limit
model.memory_limit | mml,modelMemoryLimit | model memory limit
model.by_fields | mbf,modelByFields | count of 'by' fields
model.over_fields | mof,modelOverFields | count of 'over' fields
model.partition_fields | mpf,modelPartitionFields | count of 'partition' fields
model.bucket_allocation_failures | mbaf,modelBucketAllocationFailures | number of bucket allocation failures
model.categorization_status | mcs,modelCategorizationStatus | current categorization status
model.categorized_doc_count | mcdc,modelCategorizedDocCount | count of categorized documents
model.total_category_count | mtcc,modelTotalCategoryCount | count of categories
model.frequent_category_count | mfcc,modelFrequentCategoryCount | count of frequent categories
model.rare_category_count | mrcc,modelRareCategoryCount | count of rare categories
model.dead_category_count | mdcc,modelDeadCategoryCount | count of dead categories
model.failed_category_count | mfcc,modelFailedCategoryCount | count of failed categories
model.log_time | mlt,modelLogTime | when the model stats were gathered
model.timestamp | mt,modelTimestamp | the time of the last record when the model stats were gathered
forecasts.total | ft,forecastsTotal | total number of forecasts
forecasts.memory.min | fmmin,forecastsMemoryMin | minimum memory used by forecasts
forecasts.memory.max | fmmax,forecastsMemoryMax | maximum memory used by forecasts
forecasts.memory.avg | fmavg,forecastsMemoryAvg | average memory used by forecasts
forecasts.memory.total | fmt,forecastsMemoryTotal | total memory used by all forecasts
forecasts.records.min | frmin,forecastsRecordsMin | minimum record count for forecasts
forecasts.records.max | frmax,forecastsRecordsMax | maximum record count for forecasts
forecasts.records.avg | fravg,forecastsRecordsAvg | average record count for forecasts
forecasts.records.total | frt,forecastsRecordsTotal | total record count for all forecasts
forecasts.time.min | ftmin,forecastsTimeMin | minimum runtime for forecasts
forecasts.time.max | ftmax,forecastsTimeMax | maximum run time for forecasts
forecasts.time.avg | ftavg,forecastsTimeAvg | average runtime for all forecasts (milliseconds)
forecasts.time.total | ftt,forecastsTimeTotal | total runtime for all forecasts
node.id | ni,nodeId | id of the assigned node
node.name | nn,nodeName | name of the assigned node
node.ephemeral_id | ne,nodeEphemeralId | ephemeral id of the assigned node
node.address | na,nodeAddress | network address of the assigned node
buckets.count | bc,bucketsCount | bucket count
buckets.time.total | btt,bucketsTimeTotal | total bucket processing time
buckets.time.min | btmin,bucketsTimeMin | minimum bucket processing time
buckets.time.max | btmax,bucketsTimeMax | maximum bucket processing time
buckets.time.exp_avg | btea,bucketsTimeExpAvg | exponential average bucket processing time (milliseconds)
buckets.time.exp_avg_hour | bteah,bucketsTimeExpAvgHour | exponential average bucket processing time by hour (milliseconds)
相关资料
- ElasticSearch detectors anomaly API catelasticsearch detectors anomaly api elasticsearch segments api cat elasticsearch plugins api cat elasticsearch repositories api cat elasticsearch datafeeds api cat elasticsearch allocation api cat elasticsearch templates api cat elasticsearch transforms api cat elasticsearch master api cat elasticsearch health api cat