Abstract:
The disclosed embodiments include a method performed by a data intake and query system to store and query metrics data. The method includes ingesting metrics, where each metric includes key values and numerical value indicative of a measured characteristic of a computing resource. The method further includes populating a first portion of a metric-series index (msidx) file with the key values and a second portion of the msidx file with numerical values indicative of a measured characteristic, where the first portion is distinct from the second portion. The method further includes receiving a query including criteria, evaluating the query by applying the criteria to the first portion of the msidx file to obtain query results indicative of metrics that satisfy the criteria, and displaying, on a display device, the query results or data indicative of the query results.
Abstract:
Embodiments are directed towards managing within a cluster environment having a plurality of indexers for data storage using redundancy the data being managed using a generation identifier, such that a primary indexer is designated for a given generation of data. When a master device for the cluster fails, data may continue to be stored using redundancy, and data searches performed may still be performed.
Abstract:
The present invention is related to a method for providing dynamic indexer discovery. The method comprises receiving, from an index manager, a status indication associated with a plurality of indexers, wherein each of the plurality of indexers indexes events of raw machine-generated data received from a plurality of data collectors. The method further comprises determining a weight associated with each of the plurality of indexers and selecting an indexer from the plurality of indexers. Subsequently, the method comprises allocating data to the indexer in accordance with a respective weight assigned to the indexer and transmitting the allocated data to the indexer.
Abstract:
The disclosed embodiments include a method performed by a data intake and query system to store and query metrics data. The method includes ingesting metrics, where each metric includes key values and numerical value indicative of a measured characteristic of a computing resource. The method further includes populating a first portion of a metric-series index (msidx) file with the key values and a second portion of the msidx file with numerical values indicative of a measured characteristic, where the first portion is distinct from the second portion. The method further includes receiving a query including criteria, evaluating the query by applying the criteria to the first portion of the msidx file to obtain query results indicative of metrics that satisfy the criteria, and displaying, on a display device, the query results or data indicative of the query results.
Abstract:
The disclosed embodiments include a method performed by a data intake and query system. The method includes ingesting data including raw data obtained over a computer network from a plurality of remote computer systems, and generating events, where each event includes a segment of the raw data and a respective timestamp. The method further includes extracting field values from at least a portion of the raw data of the events, where the field values each include a numerical value, and each numerical value is indicative of a measured characteristic of a computing device. The method further includes generating structured metrics, where each structured metric has a respective numerical value, and indexing the plurality of structured metrics.
Abstract:
Embodiments are directed towards managing and tracking item identification of a plurality of items to determine if an item is a new or existing item, where an existing item has been previously processed. In some embodiments, two or more item identifiers may be generated. In one embodiment, generating the two or more item identifiers may include analyzing the item using a small item size characteristic, a compressed item, or for an identifier collision. The two or more item identifiers may be employed to determine if the item is a new or existing item. In one embodiment, the two or more item identifiers may be compared to a record about an existing item to determine if the item is a new or existing item. If the item is an existing item, then the item may be further processed to determine if the existing item has actually changed.
Abstract:
Embodiments are directed towards managing and tracking item identification of a plurality of items to determine if an item is a new or existing item, where an existing item has been previously processed. In some embodiments, two or more item identifiers may be generated. In one embodiment, generating the two or more item identifiers may include analyzing the item using a small item size characteristic, a compressed item, or for an identifier collision. The two or more item identifiers may be employed to determine if the item is a new or existing item. In one embodiment, the two or more item identifiers may be compared to a record about an existing item to determine if the item is a new or existing item. If the item is an existing item, then the item may be further processed to determine if the existing item has actually changed.
Abstract:
Embodiments are directed towards managing and tracking item identification of a plurality of items to determine if an item is a new or existing item, where an existing item has been previously processed. In some embodiments, two or more item identifiers may be generated. In one embodiment, generating the two or more item identifiers may include analyzing the item using a small item size characteristic, a compressed item, or for an identifier collision. The two or more item identifiers may be employed to determine if the item is a new or existing item. In one embodiment, the two or more item identifiers may be compared to a record about an existing item to determine if the item is a new or existing item. If the item is an existing item, then the item may be further processed to determine if the existing item has actually changed.
Abstract:
Embodiments are directed towards a dynamic change evaluation mechanism, whereby items having a detected possible change are scheduled for re-evaluation for possible changes at a higher frequency than items detected to not have previously changed, while those items detected as not to have changed are dynamically scheduled for re-evaluation based on an evaluation backlog that may be in turn based, in part, on a time from when an item is assigned an expiration time to when the item is evaluated. In one embodiment, a possibly changed item may be assigned a new expiration time independent of the evaluation backlog. In another embodiment, if no change is detected, then the item may be assigned a new expiration time as a function of a previous expiration time and on the evaluation backlog.
Abstract:
Embodiments are directed towards managing and tracking item identification of a plurality of items to determine if an item is a new or existing item, where an existing item has been previously processed. In some embodiments, two or more item identifiers may be generated. In one embodiment, generating the two or more item identifiers may include analyzing the item using a small item size characteristic, a compressed item, or for an identifier collision. The two or more item identifiers may be employed to determine if the item is a new or existing item. In one embodiment, the two or more item identifiers may be compared to a record about an existing item to determine if the item is a new or existing item. If the item is an existing item, then the item may be further processed to determine if the existing item has actually changed.