Abstract: Embodiments are directed to managing file systems. Update information associated with a change of a metric associated with a target object may be provided. A journal that includes a base bin that includes base records that associate the metric with each object in the file system. Records that include the change of the metric associated with the ancestors of target object may be generated. Another record that includes the change of the metric associated with the target object may be generated. A level bin associated with the base bin of the journal may be provided based on the update information. The records may be stored in the level bin using a sort order based on the ordering of the base bin records. In response a query, the journal may be employed to reduce latency in generating query results.

Abstract: Embodiments are directed to managing file systems. Update information associated with a change of a metric associated with a target object may be provided. A journal that includes a base bin that includes base records that associate the metric with each object in the file system. Records that include the change of the metric associated with the ancestors of target object may be generated. Another record that includes the change of the metric associated with the target object may be generated. A level bin associated with the base bin of the journal may be provided based on the update information. The records may be stored in the level bin using a sort order based on the ordering of the base bin records. In response a query, the journal may be employed to reduce latency in generating query results.

Abstract: Embodiments are directed to managing file systems over a network. A hierarchical index may be provided based on a file system and a plurality of objects stored in the file system A token index may be generated based on the hierarchical index. Each token may be a portion of the path of the objects Metric indices may be generated based on the hierarchical index and a plurality of metrics associated with the objects such that the metrics indices include one or more rows that corresponds to a place position for a metric value. Employing the token index and the metric indices to generate query results based on the plurality of metrics associated with the objects.

Abstract: Embodiments are directed to managing file systems over a network. A hierarchical index may be provided based on a file system and a plurality of objects stored in the file system A token index may be generated based on the hierarchical index. Each token may be a portion of the path of the objects Metric indices may be generated based on the hierarchical index and a plurality of metrics associated with the objects such that the metrics indices include one or more rows that corresponds to a place position for a metric value. Employing the token index and the metric indices to generate query results based on the plurality of metrics associated with the objects.

Abstract: Embodiments are directed to managing file systems over a network. A hierarchical index may be provided based on a file system and a plurality of objects stored in the file system A token index may be generated based on the hierarchical index. Each token may be a portion of the path of the objects Metric indices may be generated based on the hierarchical index and a plurality of metrics associated with the objects such that the metrics indices include one or more rows that corresponds to a place position for a metric value. Employing the token index and the metric indices to generate query results based on the plurality of metrics associated with the objects.

Abstract: Embodiments are directed to managing file systems over a network. A hierarchical index may be provided based on a file system and a plurality of objects stored in the file system A token index may be generated based on the hierarchical index. Each token may be a portion of the path of the objects Metric indices may be generated based on the hierarchical index and a plurality of metrics associated with the objects such that the metrics indices include one or more rows that corresponds to a place position for a metric value. Employing the token index and the metric indices to generate query results based on the plurality of metrics associated with the objects.

Abstract: Embodiments are directed to managing file systems. Update information associated with a change of a metric associated with a target object may be provided. A journal that includes a base bin that includes base records that associate the metric with each object in the file system. Records that include the change of the metric associated with the ancestors of target object may be generated. Another record that includes the change of the metric associated with the target object may be generated. A level bin associated with the base bin of the journal may be provided based on the update information. The records may be stored in the level bin using a sort order based on the ordering of the base bin records. In response a query, the journal may be employed to reduce latency in generating query results.

Abstract: The subject disclosure is directed towards partially recalling file ranges of deduplicated files based on tracking dirty (write modified) ranges (user writes) in a way that eliminates or minimizes reading and writing already-optimized adjacent data. The granularity of the ranges does not depend on any file-system granularity for tracking ranges. In one aspect, lazy flushing of tracking data that preserves data-integrity and crash-consistency is provided. In one aspect, also described is supporting granular partial recall on an open file while a data deduplication system is optimizing that file.

Abstract: The subject disclosure is directed towards partially recalling file ranges of deduplicated files based on tracking dirty (write modified) ranges (user writes) in a way that eliminates or minimizes reading and writing already-optimized adjacent data. The granularity of the ranges does not depend on any file-system granularity for tracking ranges. In one aspect, lazy flushing of tracking data that preserves data-integrity and crash-consistency is provided. In one aspect, also described is supporting granular partial recall on an open file while a data deduplication system is optimizing that file.