Abstract: Systems and methods for processing an index are described. A postings list of items containing a particular term are ordered in a desired retrieval order, e.g., most recent first. The ordered items are inserted into an inverted index in the desired retrieval order, resulting in an ordered inverted index from which items may be efficiently retrieved in the desired retrieval order. During retrieval, items may first be retrieved from a live index, and the retrieved items from the live and ordered indexes may be merged. The retrieved items may also be filtered in accordance with the items' file grouping parameters.

Abstract: Systems and methods for processing an index are described. A postings list of items containing a particular term are ordered in a desired retrieval order, e.g., most recent first. The ordered items are inserted into an inverted index in the desired retrieval order, resulting in an ordered inverted index from which items may be efficiently retrieved in the desired retrieval order. During retrieval, items may first be retrieved from a live index, and the retrieved items from the live and ordered indexes may be merged. The retrieved items may also be filtered in accordance with the items' file grouping parameters.

Abstract: Methods and apparatuses for searching metadata are described herein. In one embodiment, an example of a process for search metadata includes, hut is not limited to, in response to a search query for metadata stored in one or more of metadata stores, the search query is partitioned into multiple search query segments. Thereafter, searches corresponding to the search query segments are performed, where each search is performed independently within the one or more metadata stores. Other methods and apparatuses are also described.

Abstract: Systems and methods for processing an index are described. Searches are scope checked more efficiently using a forward lookup process based on the size of the requested search scope. In addition, an index is partitioned into separate stores based on a search scope that is learned based on where the user commonly conducts searches. As an example, a separate store may be created for a user's home directory should the user be conducting most of his or her searches in that directory. In addition to limiting the size of the index, during retrieval, intelligent index partitioning avoids the need to scope check a common search location.

Abstract: Systems and methods for processing an index are described. A postings list of items containing a particular term are ordered in a desired retrieval order, e.g., most recent first. The ordered items are inserted into an inverted index in the desired retrieval order, resulting in an ordered inverted index from which items may be efficiently retrieved in the desired retrieval order. During retrieval, items may first be retrieved from a live index, and the retrieved items from the live and ordered indexes may be merged. The retrieved items may also be filtered in accordance with the items' file grouping parameters.

Abstract: Systems and methods for processing an index are described. A postings list of items containing a particular term are ordered in a desired retrieval order, e.g., most recent first. The ordered items are inserted into an inverted index in the desired retrieval order, resulting in an ordered inverted index from which items may be efficiently retrieved in the desired retrieval order. During retrieval, items may first be retrieved from a live index, and the retrieved items from the live and ordered indexes may be merged. The retrieved items may also be filtered in accordance with the items' file grouping parameters.

Abstract: Methods and apparatuses for searching metadata are described herein. In one embodiment, an example of a process for search metadata includes, hut is not limited to, in response to a search query for metadata stored in one or more of metadata stores, the search query is partitioned into multiple search query segments. Thereafter, searches corresponding to the search query segments are performed, where each search is performed independently within the one or more metadata stores. Other methods and apparatuses are also described.

Abstract: Methods and apparatuses for searching metadata are described herein. In one embodiment, an example of a process for search metadata includes, but is not limited to, in response to a search query for metadata stored in one or more of metadata stores, the search query is partitioned into multiple search query segments. Thereafter, searches corresponding to the search query segments are performed, where each search is performed independently within the one or more metadata stores. Other methods and apparatuses are also described.

Abstract: Methods and apparatuses for searching metadata are described herein. In one embodiment, an example of a process for search metadata includes, but is not limited to, in response to a search query for metadata stored in one or more of metadata stores, the search query is partitioned into multiple search query segments. Thereafter, searches corresponding to the search query segments are performed, where each search is performed independently within the one or more metadata stores. Other methods and apparatuses are also described.

Abstract: Methods and apparatuses for searching metadata are described herein. In one embodiment, an example of a process for search metadata includes, but is not limited to, in response to a search query for metadata stored in one or more of metadata stores, the search query is partitioned into multiple search query segments. Thereafter, searches corresponding to the search query segments are performed, where each search is performed independently within the one or more metadata stores. Other methods and apparatuses are also described.

Abstract: Systems and methods for processing an index are described. To insure that the most updated index is available without having to update the index after every change (which can consume enormous resources), a specially marked postings list is generated for a changed item. During retrieval, the specially marked postings list supplements the existing content of an inverted index referencing the changed item. In this manner, the retrieval result for items containing the term under which the changed item was originally indexed is updated in accordance with the specially marked postings list to insure the most accurate retrieval result.

Abstract: Systems and methods for processing an index are described. A pulse in an inverted index refers to a group of items that do not occur in any other pulse in the index. When processing a query against an inverted index in which pulses are present, the query is processed against a single pulse. The end of the pulse is determined based on the characteristics of the pulse and the linked list nodes that comprise the postings lists from which the index was generated. In some embodiments, index updates are applied to the query result obtained from a single pulse to provide an efficient and up to date query result.

Abstract: Systems and methods for processing an index are described. An index may be merged with another index of comparable age and size into a single index. Since older indexes are less likely to need updating, they are “set aside” to age based on certain adaptive criteria such as the age and size of the index, percentage of deletions, and how long it takes to update the index. An index that has been set aside may be compacted into a format that is optimized for fast searching.

Abstract: Systems and methods for processing an index are described. An index may be merged with another index of comparable age and size into a single index. Since older indexes are less likely to need updating, they are “set aside” to age based on certain adaptive criteria such as the age and size of the index, percentage of deletions, and how long it takes to update the index. An index that has been set aside may be compacted into a format that is optimized for fast searching.

Abstract: Systems and methods for processing an index are described. A pulse in an inverted index refers to a group of items that do not occur in any other pulse in the index. When processing a query against an inverted index in which pulses are present, the query is processed against a single pulse. The end of the pulse is determined based on the characteristics of the pulse and the linked list nodes that comprise the postings lists from which the index was generated. In some embodiments, index updates are applied to the query result obtained from a single pulse to provide an efficient and up to date query result.

Abstract: Systems and methods for improving indexing are described. In one exemplary method, a 2-level table is used to improve performance when searching an index. A first table contains a subset of more frequently occurring terms and a second and larger table contains terms that occur rarely, with the first table optimized for updating and the second table optimized for searching. The second table is searched only when a search of the first table is unsuccessful. Other methods are described and data processing systems and machine readable media are also described.

Abstract: Systems and methods for processing an index are described. A pulse in an inverted index refers to a group of items that do not occur in any other pulse in the index. When processing a query against an inverted index in which pulses are present, the query is processed against a single pulse. The end of the pulse is determined based on the characteristics of the pulse and the linked list nodes that comprise the postings lists from which the index was generated. In some embodiments, index updates are applied to the query result obtained from a single pulse to provide an efficient and up to date query result.

Abstract: Methods and apparatuses for searching metadata are described herein. In one embodiment, an example of a process for search metadata includes, but is not limited to, in response to a search query for metadata stored in one or more of metadata stores, the search query is partitioned into multiple search query segments. Thereafter, searches corresponding to the search query segments are performed, where each search is performed independently within the one or more metadata stores. Other methods and apparatuses are also described.

Abstract: Methods and apparatuses for searching metadata are described herein. In one embodiment, an example of a process for search metadata includes, but is not limited to, in response to a search query for metadata stored in one or more of metadata stores, the search query is partitioned into multiple search query segments. Thereafter, searches corresponding to the search query segments are performed, where each search is performed independently within the one or more metadata stores. Other methods and apparatuses are also described.

Abstract: Methods and apparatuses for searching metadata are described herein. In one embodiment, an example of a process for search metadata includes, but is not limited to, in response to a search query for metadata stored in one or more of metadata stores, the search query is partitioned into multiple search query segments. Thereafter, searches corresponding to the search query segments are performed, where each search is performed independently within the one or more metadata stores. Other methods and apparatuses are also described.