US20060106848A1 - Method and apparatus for handling directory operations - Google Patents

Method and apparatus for handling directory operations Download PDF

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Publication number
US20060106848A1
US20060106848A1 US11/134,251 US13425105A US2006106848A1 US 20060106848 A1 US20060106848 A1 US 20060106848A1 US 13425105 A US13425105 A US 13425105A US 2006106848 A1 US2006106848 A1 US 2006106848A1
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canceled
evaluator
alternate evaluator
query
alternate
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Richard Harvey
Damon Groenveld
Ronald Ramsay
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CA Inc
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Computer Associates Think Inc
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00—Network arrangements, protocols or services for addressing or naming
    • H04L61/45—Network directories; Name-to-address mapping
    • H04L61/4505—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols
    • H04L61/4523—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols using lightweight directory access protocol [LDAP]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2453—Query optimisation
    • G06F16/24534—Query rewriting; Transformation
    • G06F16/24539—Query rewriting; Transformation using cached or materialised query results
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00—Network arrangements, protocols or services for addressing or naming
    • H04L61/45—Network directories; Name-to-address mapping
    • H04L61/4552—Lookup mechanisms between a plurality of directories; Synchronisation of directories, e.g. metadirectories
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00—Network arrangements, protocols or services for addressing or naming
    • H04L61/45—Network directories; Name-to-address mapping
    • H04L61/4505—Network directories; Name-to-address mapping using standardised directories; using standardised directory access protocols

Definitions

  • the present disclosure relates to directory operations and, more specifically, to a method and apparatus for handling directory operations.
  • Directories are information services that provide users and applications with quick access to information. Directories are optimized for information retrieval.
  • a directory server is a computer application that provides directory service to users and applications.
  • One or more directory servers may be used to provide directory service to one or more users and/or applications. By utilizing additional directory servers, directory service may be simultaneously provided to a large number of users and/or applications. These directory servers may be located together or they may be distributed. Directory servers may be globally distributed and/or replicated to provide efficient directory service world-wide over a global computer network such as the internet.
  • X.500 is an international set of standards that defines directories.
  • X.500 includes protocols for allowing users and applications to access directory service.
  • Other protocols may also be used for allowing users and applications to access directory service.
  • LDAP or the Lightweight Directory Access Protocol
  • DSML Directory Services Markup Language
  • XML Extensible Markup Language
  • Directory protocols usually utilize TCP/IP transfer services or similar transfer services. Directory protocols may also include internal security features that may be useful for securing directory service access. Directory protocols are therefore well suited for providing access to directory service over the internet or private company intranets.
  • Users and applications may utilize directory services to gain access to one or more data objects.
  • the data objects may have one or more attributes and the attributes may contain one or more values.
  • Hierarchical arrangement of directory information may provide for efficient searching.
  • Hierarchical objects are commonly referred to as parent objects and child objects depending on their relationship to one another. For example, where a computer and a printer are represented as data objects, an object representing a printer may be the child of an object representing a computer.
  • directories are important aspects of overall directory performance.
  • Conventional methods for increasing directory performance involve increased use of hardware, software, or a combination of both hardware and software.
  • additional CPUs, disks, memory, directory server processes, etc. may be utilized in order to improve response times, latency in a replicated environment, and/or throughput or volume of operations, etc.
  • these conventional methods do improve performance, they do so at a high cost in terms of hardware, software, maintenance, and operations.
  • complex design and configuration such as, routing, security, administrative controls, etc., may be involved in addition to complex management of the system, including network, host administration, directory monitoring, distribution, replication, backup and recovery, etc.
  • Protocols for accessing directories define multiple operations that a user and/or application may perform. These operations may be categorized into three groups: queries, updates and connections. Queries are operations for retrieving information from a directory. Query operations include “read” for reading data, “list” for listing data, “search” for searching for data and “compare” for comparing data. Update operations include “add” for adding data, “remove” for deleting data, “modify” for changing data and “ModifyDN” for changing the distinguished name associated with data, i.e. renaming data.
  • a query operation may include one or more sub-queries.
  • a query may include a Navigation sub-query.
  • Caches are areas of memory, generally volatile memory, that are used to store previously accessed information so that subsequent access attempts may be rapidly accessed from the cache without having to go back to the disk itself.
  • Caches are generally incremental caches, copying the most recently accessed information from the disk to the cache. Caches improve access speed because commonly accessed information is likely to have been placed in the cache from the last time that information was accessed. Unfortunately, incremental caches may take time to load commonly used information to the cache as information is only loaded into the cache as that information is accessed from the disk. Additionally, because it is not always clear when a cache is fully loaded or what types of information are stored in the cache, it might not be possible to effectively optimize operations such as queries for use with the cache. Additionally, if the sizes of the incremental caches are set too high, the stability of the caches may be reduced.
  • a directory operation that is evaluated may involve many time-consuming steps, such as, decoding the protocol, converting to SQL, interpreting the SQL, executing the SQL, handling by the disk cache buffers, and fetching the data.
  • cache memory may provide improvements in the speed of directories, a cache typically operates as a buffer and has little, if any, high level intelligence about the nature of directory operations. In addition, a cache may manage low-level data read/write operations without necessarily understanding what the data is.
  • a method for handling a directory service operation includes determining whether an alternate evaluator can respond to the operation and evaluating the operation using the alternate evaluator when it is determined that the alternate evaluator can respond to the operation.
  • a system for handling a directory service operation includes a switch for determining whether an alternate evaluator can respond to the operation and the alternate evaluator for evaluating the operation when it is determined that the alternate evaluator can respond to the operation.
  • a computer system includes a processor and a computer recording medium including computer executable code readable by the computer system.
  • the recording medium embodying a program of instructions executable by the processor for handling a directory service operation.
  • the computer executable code includes determining whether an alternate evaluator can respond to the operation and evaluating the operation using the alternate evaluator when it is determined that the alternate evaluator can respond to the operation.
  • a computer recording medium including computer executable code for handling a directory service operation.
  • the computer executable code includes determining whether an alternate evaluator can respond to the operation and evaluating the operation using the alternate evaluator when it is determined that the alternate evaluator can respond to the operation.
  • a method of processing a Directory operation in a directory system includes a disk based evaluator and an alternate evaluator. The method includes the step of examining the query to determine if it can be processed by the alternate evaluator.
  • a directory system adapted to process directory queries.
  • the system includes a disk based evaluator adapted to process directory queries in association with a data store.
  • An alternate evaluator adapted to process directory queries in association with a local data store.
  • Logic means adapted to examine the query to determine if it can be processed by the alternate evaluator.
  • the system includes a disk based evaluator adapted to process directory queries in association with a data store.
  • An alternate evaluator adapted to process directory queries in association with a local data store.
  • the improvement includes switch means adapted to examine the query to determine if it can be processed by the alternate evaluator.
  • FIG. 1 is a block diagram showing a system for processing directory operations
  • FIG. 2 is a block diagram showing a system for processing directory operations using an alternate evaluator according to an embodiment of the present disclosure
  • FIG. 3A is a block diagram showing a configuration with multiple switches and multiple alternate evaluators according to an embodiment of the present disclosure
  • FIG. 3B is a flow chart illustrating another embodiment of the present invention.
  • FIG. 4 is a flow chart showing a method for handling directory operations according to an embodiment of the present disclosure
  • FIG. 5 is a block diagram showing an apparatus for a directory server
  • FIG. 6 is a block diagram showing an apparatus for optimizing directory performance according to an embodiment of the present disclosure
  • FIG. 7 is a block diagram showing another embodiment of the present disclosure.
  • FIG. 8 is a block diagram showing another embodiment of the present disclosure.
  • FIG. 9 is a flow chart showing an embodiment of the present disclosure.
  • FIG. 10 is a block diagram showing an apparatus for enhancing directory performance according to an embodiment of the present disclosure.
  • FIG. 11 is a flow chart showing a method for enhancing directory performance according to an embodiment of the present disclosure.
  • FIG. 12 is a flow chart illustrating a method for enhancing directory performance according to an embodiment of the present disclosure
  • FIG. 13 shows an example of a computer system capable of implementing the method and apparatus according to embodiments of the present disclosure
  • FIG. 14 is a flow chart showing the loading of an alternative evaluator according to an embodiment of the present disclosure.
  • FIG. 15 is a flow chart detailing the loading of an alternative evaluator according to an embodiment of the present disclosure.
  • FIG. 16 is a flow chart showing an example of an update operation according to an embodiment of the present disclosure.
  • FIG. 17 is a flow chart showing another example of an update operation according to an embodiment of the present disclosure.
  • FIG. 18 shows an example of a computer system which may implement the method and system of the present disclosure.
  • the present disclosure provides tools (in the form of methodologies, apparatuses, and systems) for processing directory operations.
  • the tools may be embodied in one or more computer programs stored on a computer readable medium or program storage device and/or transmitted via a computer network or other transmission medium.
  • FIG. 1 is a block diagram showing a system for processing directory operations.
  • a directory operation for example a query 101 may be handled by a directory server infrastructure 102 , where the directory server 102 may utilize X.500 standards and X.500 protocols, LDAP protocols and/or DSML protocols.
  • the directory server infrastructure 102 may have multiple processing layers 104 - 108 to execute the query 101 .
  • the processing layers 104 - 108 may be functional components of a server.
  • processing layers 104 - 108 may be used to decode protocols used by the query, converting the query into standard protocols such as SQL, interpreting the SQL, executing the SQL, handling disk cache buffers, and/or utilizing an operating system to retrieve data from a database 109 .
  • a response 110 to the query 101 may be generated by accessing the database 109 that may be stored on one or more physical disks, for example a hard disk or a RAID array.
  • One or more of the processing layers 106 - 108 may be located within a disk based evaluator 103 that may be responsible for invoking one or more interactions with the disk 109 .
  • a query 101 may be passed from one processing layer 104 - 108 to another until a response 110 may be generated by accessing data on the disk 109 .
  • the response 110 may then be passed back along the processing layers 104 - 108 allowing the response 110 to be delivered to the same location and conforming to the same protocols as the query 101 .
  • processing layers 104 - 108 may provide an important step in the processing of the query 101 .
  • processing layers 104 and 105 may be software for decoding protocols, authentication and/or routing.
  • processing layers 106 , 107 , and 108 may be software for checking schema, controlling access and/or optimizing filters.
  • processing layers 104 - 108 may be useful for processing a query 101 to generate a response 110 , having multiple layers may increase the time required to respond to a query 101 . It may therefore be possible to lessen the time needed to process queries 101 , in some instances, by reducing the number of processing layers 104 - 108 required to process queries 101 .
  • an alternate evaluator may be used to lessen the time needed to process a query 101 and generate a response 110 .
  • An alternate evaluator may be a directory operation processor that may be capable of processing directory operations.
  • FIG. 2 is a block diagram showing a system for processing directory operations using an alternate evaluator according to an embodiment of the present disclosure.
  • a switch 211 may be provided at a point along the data path that connects the processing layers 104 - 108 .
  • the switch 211 may be placed before the first processing layer 104 .
  • the switch may examine an incoming operation, for example a query 101 to determine whether an alternate evaluator 212 may be able to process the query 101 to generate a response 110 .
  • the switch 211 may rely on local configurations, for example, programmed logic that resides locally within the switch 211 .
  • the switch 211 may be programmed to redirect some or all queries 101 that are search queries to the alternate evaluator 212 for processing.
  • the alternate evaluator 212 may then process the query 101 by accessing information stored on a local data store 213 that resides locally within the alternate evaluator 212 .
  • a response 110 may then be generated and returned along the same data path that the query 101 was sent over. In this way, one or more processing layers 104 - 108 may be avoided potentially reducing the time required to process the query 101 .
  • the local data store 213 may be persistent or non-persistent information store. In a preferred form, the local data store 213 uses local memory.
  • the determination as to whether the alternate evaluator 212 may be able to process the query 101 may be made by the switch 211 in conjunction with the alternate evaluator 212 .
  • the switch 211 may be configured to categorize the query 101 according to one or more known query types and/or recognize the content of the query 101 . If it is determined that the alternate evaluator 212 may not be able to process the query 101 , the switch 211 may allow the query 101 to proceed through the processing layers 104 - 108 according to the data path rather than being diverted to the alternate evaluator 212 .
  • the switch 211 may allow a query 101 to proceed to the alternate evaluator 212 and to proceed through the processing layers 104 - 108 potentially allowing the query to be evaluated in both ways.
  • the processing of the query 101 through the processing layers 104 - 108 may then later be discontinued if the alternate evaluator 212 is able to successfully process the query 101 .
  • the alterative evaluator 212 may reside within the directory server infrastructure 102 . According to another embodiment of the present disclosure, the alternate evaluator 212 may reside outside of the directory server infrastructure 102 .
  • FIG. 3A is a block diagram showing a configuration with multiple switches 301 - 303 and multiple alternate evaluators 304 - 306 according to an embodiment of the present disclosure.
  • One or more switches 301 - 303 may be provided at multiple points along the data path that connects the processing layers 104 - 106 .
  • one alternate evaluator 304 - 306 may be provided for each switch 301 - 303 .
  • multiple switches for example switches 301 and 302 , may each be capable of redirecting a directory operation, for example a query 101 to the same alternate evaluator, for example 304 . This may be beneficial in situations where a query 101 may be able to be handled by an alternate evaluator 304 either before being processed by one or more processing layers, for example processing layer 104 , or after being processed by the one or more processing layers.
  • a single switch may be able to redirect a query 101 to one of one or more alternate evaluators, for example alternate evaluators 305 and 306 . This may be useful when a switch determines that a query 101 may be handled by one alternate evaluator but not another.
  • Each alternate evaluator 304 - 306 may have its own respective local data store 307 - 309 or alternatively, one or more alternate evaluators 304 - 306 may share one or more local data stores 307 - 309 .
  • a query 101 may be progressively evaluated and/or transformed into a number of sub-queries.
  • the alternate evaluators 304 - 306 may be able to process one or more queries 101 , one or more parts of a query 101 , partly evaluated queries, and/or sub-queries.
  • FIG. 3B is a flow chart illustrating another embodiment of the present invention.
  • a determination may be made as to whether to direct (forward) an operation, for example a query, to an alternate evaluator.
  • a first test may be made to determine whether the alternate evaluator is available (Step S 30 ). For example, if the alternate evaluator is enabled, busy or loading, the alternate evaluator would not be considered “available” (No, Step S 30 ) and the query would not be forwarded to the alternate evaluator (Step S 34 ).
  • Step S 30 If the alternate evaluator is available (Yes, Step S 30 ), the first parameter(s) are determined (Step S 31 ) and the second parameter(s) are determined (Step S 32 ).
  • first parameters of the query which are examined include its type, complexity, operands and properties, and the attribute types including those required to process a query and those needed to be returned.
  • second parameters include type, complexity, operands and properties, and the attributes available including those indexed and those carried (not indexed).
  • a test may be performed to determine if the first parameters are supported by the second parameters (Step S 33 ). If they are not supported (No, Step S 33 ) then the query is not forwarded to the alternate evaluator (Step S 34 ). If the first parameters are supported by the second parameters (Yes, Step S 33 ), then a further test may be performed to determine if there are third (optional) parameters (Step S 35 ).
  • third parameters include pre-determined criteria provided by the user or system, arbitrary data provided by user, system policies, origin of query, user or user's role, operating conditions such as load, size limits and time limits. If there are no third parameters (No, Step S 35 ), then the query may be forwarded to an alternate evaluator (Step S 36 ). If there are third parameters (Yes, Step S 35 ), then third parameters may be determined (Step S 37 ).
  • a further test may be performed to determine if the third parameters require the query to be redirected in view of the third parameters (Step S 38 ). If the query is not to be redirected (No, Step S 38 ), then the query is not forwarded to the alternate evaluator (Step S 34 ).
  • Step S 38 a further test may be made to determine if the first parameters are supported by the third parameters (Step S 39 ). If they are not supported (No, Step S 39 ), then the query is not directed to the alternate evaluator (Step S 34 ). However, if the first parameters are supported by the third parameters (Yes, Step S 39 ), then the query may be forwarded to the alternate evaluator (Step S 36 ).
  • Example of the first parameters include: Operation type—For example operation types are Read, Search, Compare, List, Add, Modify, etc.
  • Operation complexity For example of complexity would be a multi-term filter.
  • Operation operands For example substring match, approximate match, greater than or equal to match etc.
  • Operation attribute(s) required to process a query For example the attributes in a Search filter or the attribute in a Compare.
  • Operation attribute(s) that needs to be returned For example the attributes to return on a Search or Read.
  • Service controls For example size limit, time limit, prefer chaining, originator, attribute size limit, priority, other X.500 service control options.
  • LDAP controls for example proxied user, sorting, paging, event management.
  • Network information for example source address.
  • Supported operation types For example operation types are Read, Search, Compare, List, Add, Modify, etc.
  • Supported operation complexity For example of complexity would be a multi-term filter.
  • Supported operation operands For example substring match, approximate match, greater than or equal to match etc. Attribute(s) that are indexed. Attribute(s) that are carried (not indexed).
  • third parameters include: Arbitrary data provided by user. System policies. Origin of query. User or user's role. Operating conditions such as load. Administrative thresholds—for example size limit, time limit, prefer chaining, security level, attribute size limit, priority or other physical limitations. Service options—for example sorting, paging, event management, or other functional abilities.
  • FIG. 4 is a flow chart showing a method for handling directory operations according to an embodiment of the present disclosure.
  • An operation for example a query may be received (Step S 41 ).
  • it may be determined whether the query may be processed using an alternate evaluator (Step S 42 ). If the query may be so processed (Yes, Step S 42 ), then the query may be redirected to the alternate evaluator (Step S 43 ). The alternate evaluator may then evaluate the query using a local data store (Step S 44 ). If it is determined that the query cannot be processed by the alternate evaluator (No, Step S 42 ), then the query may be evaluated using a disk-based database.
  • switches 211 and alternate evaluators 212 or a directory service incorporating one or more switches and/or one or more alternate evaluators may be thought of more generally as an apparatus for optimizing directory performance.
  • FIG. 5 is a block diagram showing an apparatus for optimizing directory performance.
  • Directory operations for example queries may originate form a location, for example from one or more query clients 52 . Responses returned in response to the queries may be directed to the same query client 52 . Queries may be sent from the query client 52 to a server 50 .
  • the server 50 may contain a first directory alternate evaluator, for example a front-end processor 53 that may manage communications, queries and/or responses.
  • the server 50 may also contain a second directory alternate evaluator, for example a back-end processor 54 that may manage the evaluation of operations, for example queries, using information stored on a disk 51 .
  • the server 50 may provide a directory service.
  • the server 50 may be a directory server conforming to implement directory X.500 standards and one or more communications protocols, for example X.500 protocols, LDAP protocols and DSML protocols.
  • FIG. 6 is a block diagram showing an apparatus for optimizing directory performance according to an embodiment of the present disclosure.
  • the server 50 may additionally contain an alternate evaluator 60 .
  • the alternate evaluator 60 may be provided between the front-end processor 53 and the back-end processor 54 as shown in FIG. 6 .
  • the alternate evaluator 60 may act as an alternate evaluator as described above and may be able to generate a response for a received query without having to send the query to the back-end processor 54 . Queries that may be responded to by the alternate evaluator 60 may be responded to more quickly than queries that may be responded to by the back-end processor 54 that uses the disk 51 .
  • the alternate evaluator 60 may contain logic 61 and data 62 .
  • the logic 61 may manage the evaluation of the queries.
  • the logic 61 may use the data 62 to evaluate the queries.
  • the data 52 may be a local data store as described above.
  • the data 62 may be stored using a cache or a similar memory store that may be faster than the disk 51 .
  • FIG. 7 is a block diagram showing another embodiment of the present disclosure.
  • the alternate evaluator 60 may be connected to the front-end processor 53 alone.
  • the alternate evaluator 60 may be able to receive and handle a query sent by the front-end processor 53 .
  • FIG. 8 is a block diagram showing another embodiment of the present disclosure.
  • the alternate evaluator 60 may be connected to the back-end processor 54 .
  • the alternate evaluator 60 may be able to receive and handle a query sent by the back-end processor.
  • the front-end processor 53 , the alternate evaluator 60 , and the back-end processor 54 need not be located on the same server 50 .
  • each of the front-end processor 53 , the alternate evaluator 60 , and the back-end processor 54 may be provided as a separate server, wherein each of the servers may be interconnected.
  • any two of the front-end processor 53 , the alternate evaluator 60 , and the back-end processor 54 may be provided on a first server while the other may be provided on a second server, wherein each of the servers may be interconnected.
  • FIG. 9 is a flow chart showing an embodiment of the present disclosure.
  • a directory operation for example a query may be received, for example, from a client, by a front-end processor (Step S 91 ).
  • An alternate evaluator may attempt to evaluate the query using data in the alternate evaluator, for example, data stored in a cache (Step S 92 ). If the evaluation is successful (Yes, Step S 93 ) then a response to the query may be returned to the query client. If the evaluation is not successful (No, Step S 93 ) then the query may be passed to a back-end processor (Step S 94 ). The back-end processor may evaluate the query using a disk (Step S 95 ). A response to the query may thereby be returned to the query client.
  • the alternate evaluator's data may be a cache of random access memory (RAM).
  • the alternate evaluator may be preloaded with selected information from the disk or disk's conventional cache (a cache associated with the disk as opposed to the local data store that is associated with the alternate evaluator) prior to the use of the alternate evaluator.
  • the preloading of the alternate evaluator may allow the alternate evaluator to evaluate the query without having to access the disk.
  • the apparatus 120 includes a determining means 121 , retrieving means 122 , normalizing means 123 and indexing means 124 .
  • the determining means 121 may determine one or more data types from the disk or disk cache (storage) to be loaded into the alternate evaluator (Step S 131 ).
  • the retrieving means 122 may retrieve data from the storage based on the determined data types (Step S 132 ).
  • the normalizing means 123 may determine and normalize one or more index values for the data retrieved by the retrieving means 122 (Step S 133 ).
  • the indexing means 124 may load an alternate evaluator with the retrieved data and the normalized index values (Step S 134 ).
  • any of the determining means 121 , retrieving means 122 , normalizing means 123 or indexing means 124 may be based on control variables 150 ( FIG. 13 ).
  • the alternate evaluator or other logic may be able to determine if the alternate evaluator can process a given query without having to access the disk storage. Additionally, by preloading the alternate evaluator, the alternate evaluator may be able to achieve maximum performance on startup, unlike conventional caches that may require time to warm up.
  • selected information may be preloaded into the alternate evaluator from storage before a query is handled by the system.
  • Storage may include a physical disk, disk cache, memory, or any other means of storing data.
  • the process of pre-loading may include, for example, extracting from storage, such as a disk, selected information which can be indexed by the alternate evaluator.
  • the selected information may be determined by a configuration as defined in the alternate evaluator. For example, index “CommonName” and carry “Surname” and “TelephoneNumber” may be provided in the configuration. It should be noted that “carry” means that certain information may be stored in an alternate evaluator, but may not be indexed.
  • the index values may be normalized, or transformed into a standard form according to matching rules for the data type. For example, a “case-ignore” matching rule would convert the data types into one case.
  • the selected information may be in a raw format, or stored in a binary encoded form, such as Abstract Syntax Notation 1 (ASN.1).
  • a pointer to the existing value may be added to the alternate evaluator rather than adding the selected information to the alternate evaluator multiple times.
  • FIG. 12 is a flow chart illustrating a method for enhancing directory performance according to an embodiment of the present disclosure.
  • the configuration of the alternate evaluator may be read (Step S 142 ).
  • the configuration may specify the attribute types to be loaded, or may specify that all attribute types are to be loaded.
  • the configuration may also specify whether each attribute type is indexed.
  • the appropriate data may be retrieved from storage (Step S 143 ).
  • the retrieved data may include at least one directory object, where each object may include one or more attributes, and where each attribute may include one or more values.
  • Step S 144 For each data value retrieved, it may be determined whether the data is already loaded in the alternate evaluator (Step S 144 ). If the data is already loaded in the alternate evaluator (Yes, Step S 144 ), then the duplicate data may be determined and a pointer may be provided to the existing value in the alternate evaluator (Step S 145 ). If the data is not already loaded in the alternate evaluator (No, Step S 144 ), then the index values for the data are determined (Step S 146 ) provided that the data values are indexed (based on the configuration), and the index values are normalized (Step S 147 ).
  • the normalized index values may be stored as a structured index, such as, a BTREE, BTREE+, and/or any other indexing structures.
  • the alternate evaluator may then be loaded with the data values and the normalized index values (Step S 148 ).
  • the indexes may be determined dynamically upon loading of the alternate evaluator.
  • the indexes may be determined in accordance with control variables.
  • a BTREE is a tree data structure that may be used by databases and indexes to facilitate searching. BTREEs allow for amortized logarithmic time insertions and deletions of tree elements.
  • the alternate evaluator may be loaded with all the data values and the index values in a single pass. According to another embodiment of the present disclosure, the alternate evaluator may be loaded with the data values in one step and loaded with the index values in another step.
  • the alternate evaluator for example a local data store within an alternate evaluator, may comprise a memory store.
  • the alternate evaluator may be pre-loaded and progressively updated to enhance the alternate evaluator's ability to quickly and accurately handle directory operations, for example queries.
  • the alternate evaluator may receive progressive updates to maintain accuracy of stored data, efficiency of memory storage and speed of evaluation. For example, data structures may be retrieved from storage and used to progressively update data stored in the alternate evaluator. In so doing, embodiments of the present disclosure may be able to facilitate the storage of a high occupancy of indexes, minimize the number of comparisons required to execute a query and to provide multiple index types, such as, for example, reverse indexes.
  • control variables may be considered. Additionally, the type of attributes that are indexed may be considered. Control variables may describe, for example, whether an alternate evaluator is available, what indexes are in effect, what attributes are stored, and/or the maximum amount of alternate evaluator memory available. For example, entries and/or attributes relating to one or more attribute indexes may be loaded and/or progressively updated to the alternate evaluator. It may also be possible to load and/or progressively update all entries and/or attributes, for example, where a configuration of indexed attributes is set to “all attributes.”
  • Embodiments of the present disclosure may utilize one or more methods for efficiently utilizing alternate evaluator memory. For example, where data is repeated in multiple locations of the alternate evaluator memory, the instances of that data may be replaced with a pointer. For example, attribute type data may be replaced with a pointer that points to an attribute type store where attribute type data is stored. For example, where data utilizes names that are comprised of a context prefix (the distinguished name of a root entry) and a relative name, the context prefix may be removed from the name to reduce the amount of memory required to store the names.
  • a context prefix the distinguished name of a root entry
  • the context prefix may be removed from the name to reduce the amount of memory required to store the names.
  • an available memory list may be maintained to keep track of available memory so that memory that was previously used may be quickly identifiable as free memory.
  • a list of normalized values may be maintained for attribute values that are indexed so that multiple units of data do not need to individually store normalized values for the same sets of values. Normalized values may be created from attribute values that are configured as indexed attributes.
  • data stored in the alternate evaluator need not be updated every time the data in storage (external data source), upon which the data stored in the alternate evaluator was loaded from, is updated.
  • the stored and/or indexed attributes may only be updated when those stored and/or indexed attributers are modified on the list of entries and may not be updated when the list is modified but the stored and/or indexed attributes remain unchanged.
  • FIG. 13 is a block diagram showing an alternate evaluator according to an embodiment of the present disclosure.
  • Directory operations for example queries may be directed towards the alternate evaluator 151 over a data path for receiving operations 153 . Each query directed towards the alternate evaluator 151 may result in a response. The response may be sent along a data path for providing results 154 .
  • Data loaded into the alternate evaluator 151 may be organized into one or more lists 155 - 159 within an arrangement of memory included within the alternate evaluator.
  • the lists 155 - 159 may represent data structures for the storing of data entries, attributes, attribute vales, normalized values, indexes, available memory, etc.
  • Control variables may be entered into the alternate evaluator 151 and stored within a portion of memory provided to store control variables 150 .
  • Control variables 150 may be used to define a set of controls, for example, to define what data is to be stored from an external data store 152 to the one or more lists 155 - 159 . For example, to determine what indexes are in effect and/or to determine the maximum amount of available memory
  • the control variables 150 may be used, for example, to define attributes to be indexed. For example, the control variables 150 may define that all attributes be indexed by setting an indexed attribute control variable to “all attributes.” Similarly, the control variables 150 may define attributes to be stored. For example, the control variables 150 may define that all attributes be stored by setting a stored attribute control variable to “all attributes.”
  • the control variables 150 may be used, for example, to define entries to be loaded into the alternate evaluator 151 from the external data store 152 .
  • the control variables 150 may define that all entries should be loaded by setting the indexed attribute control variable to “all entries.”
  • the indexed attribute control variable may be set to a list of attributes. In such a case only those attributes present in the list may be loaded.
  • the control variables 150 may be used, for example, to define attributes to be loaded with each entry. For example, where either the indexed attribute control variable or the stored attribute control variable is set to “all attributes” then all attributes within each entry may be loaded. For example, where both the indexed attribute control variable and the stored attribute control variable are set to a list of attributes, then the attributes loaded within each entry may be a combination of both lists.
  • a configuration function (not shown) may be provided to set the control variables.
  • An alternate evaluator 151 may have a first list 155 .
  • Data may be first loaded into the first list 155 via a data path 160 from a disk 152 and/or directory 161 .
  • the first list 155 may comprise one or more entries. Each entry may have a name and/or one or more attributes. Each attribute may have a type and/or one or more values.
  • the entries may be directory entries.
  • the name may be a distinguished name for the directory entry.
  • the attributes may be directory attributes.
  • the types may be object identifiers or strings, either of which may represent the types of the attributes.
  • the values may be the values of the attributes and may be stored in binary form.
  • entries that are loaded into the alternate evaluator 151 may have the context prefix removed from their distinguished name.
  • the alternate evaluator 151 may have a second list 156 .
  • the second list 156 may be loaded with normalized values of data that has been loaded into the first list 155 .
  • the normalized values may be representations of the values in a predetermined format, for example in the internationally defined X.500 matching format. Normalizing values may allow for comparison regardless of the format of the values. For example, where a CommonName attribute for an entry is “Rick Harvey” a CaselgnoreString matching rule may be used to create the normalized value “RICK HARVEY” where the CaseIgnoreString matching rule is defined as removing leading and trailing spaces, replacing multiple consecutive spaces with a single space and converting the string into upper case.
  • the second list 156 may additionally be loaded with pointers that point to the corresponding data that has been loaded into the first list 155 .
  • the indexed attribute control variable may determine what normalized data and pointers may be loaded into the second list 156 .
  • the alternate evaluator 151 may have a third list 157 .
  • the third list 157 may be loaded with indexes and pointers to the normalized values that have been loaded into the second list 156 .
  • the third list 157 may have at least one index that is organized as a BTREE.
  • the alternate evaluator 151 may have a fourth list 158 .
  • the fourth list 158 may be a list of available memory locations.
  • the fourth list may list one or more memory fragments not currently used by the alternate evaluator.
  • the fourth list 158 may be initially empty.
  • the fourth list may be updated during the operation of the alternate evaluator as memory fragments are used and become available (returned to an unused state).
  • the alternate evaluator 151 may have a context prefix store (not shown).
  • the context prefix store may be used to store the context prefix of data names, for example, entry names.
  • the context prefix store may store a normalized value of the content prefix.
  • the context prefix store may be associated with the data path for receiving operations 153 and/or the data path for providing results 154
  • the alternate evaluator 151 may have a fifth list 159 .
  • the fifth list 159 may be a list of types, for example, attribute types, that occur one or more times in the first list 155 . Types may take the form of an object identifier or a string.
  • the first list 155 may replace instances of attribute types stored in the fifth list 159 with pointers that point to the same attribute type in the fifth list 159 . By utilizing these pointers to the fifth list 159 , available memory may be saved by reducing the number of times the same attribute type is stored.
  • FIG. 14 is a flow chart showing the loading of a list according to an embodiment of the present disclosure.
  • Control variables may be retrieved (Step S 162 ).
  • the retrieved control variables may then be used to determine data to be loaded from the external data store (Step S 163 ).
  • the context prefixes from distinguished names may be removed from the determined data (Step S 164 ).
  • the determined data may then be loaded into the alternate evaluator and/or a list, for example a list within an alternate evaluator (Step S 165 ).
  • FIG. 15 is a flow chart detailing the loading of lists, such any of the lists in an alternate evaluator according to an embodiment of the present disclosure.
  • the first list may be loaded, for example, the first list may be loaded based on inputted control variables (Step S 171 ).
  • the second list may be loaded, for example, based on the first list (Step S 172 ).
  • the third list may be loaded, for example, based on the second list (Step S 173 ).
  • the fourth list may be used to store items removed from any of the other lists during operation.
  • the fifth list may be loaded, for example, based on the first list (Step S 174 ). Loading of the lists may be executed, for example, in the fashion described above.
  • the update operation may include, for example, one or more of the following: Adding an entry with a name and/or a set of attributes, each attribute containing one or more attribute values. Removing an entry including any of its associated names, attributes and/or attribute values. Modifying an entry to add and/or remove an attribute and/or attribute values. Rename an entry to change an entry's name by adding, removing or selecting existing attribute values.
  • FIG. 16 is a flow chart showing an example of an update operation according to an embodiment of the present disclosure.
  • the update operation may involve adding data, for example, entries, attributes and/or attribute values, to the first list.
  • added data may be indexed attributes or stored attributes.
  • context prefixes may be removed from names within the data (Step 181 ).
  • attribute types within the data may be replaced with pointers that point to the same attribute type in the fifth list (Step S 182 ). Where the attribute type is not already present in the fifth list (No, Step S 183 ), it may be added to the fifth list (Step S 184 ).
  • the data may be added to the first list within available memory that may be determined using the fourth list (Step S 185 ). Available memory may then be updated within the fourth list based on the memory used in storing the data (Step S 186 ).
  • the second list may be checked to see if it contains normalized values of the data (Step S 187 ). Where it does not (No, Step S 187 ), normalized values may be added to the second list and a pointer to the data is added to the normalized values in the second list (Step S 188 ). In adding to the second list, available memory may be ascertained from the fourth list and memory used may be reflected in the fourth list, for example, by removing the used memory from the fourth list. Additions made to the second list may be reflected within the index and pointers of the third list (Step S 189 ). For example, a pointer may be added to the index.
  • FIG. 17 is a flow chart showing another example of an update operation according to an embodiment of the present disclosure.
  • the update operation may involve removing data, for example, entries, attributes and/or attribute values, to the first list.
  • First the data may be removed from the first list (Step S 191 ). If the removed data is pointed to by a pointer in the second list corresponding to normalized values for the data, the corresponding pointers may be removed from the second list (Step S 192 ).
  • the normalized value may be removed and the corresponding pointer may be removed from the index on the third list (Step S 194 ).
  • the fourth list may then be updated to reflect that the memory used by deleted elements is available memory (Step S 195 ).
  • the lists may be of any length. According to embodiments of the present disclosure, the lists may be dynamic in size and content, for example, during the operation of the alternate evaluator. According to embodiments of the present disclosure, the lists may be linked lists and/or arrays.
  • FIG. 18 shows an example of a computer system which may implement the method and system of the present disclosure.
  • the system and method of the present disclosure may be implemented in the form of a software application running on a computer system, for example, a mainframe, personal computer (PC), handheld computer, server, etc.
  • the software application may be stored on a recording media locally accessible by the computer system and accessible via a hard wired or wireless connection to a network, for example, a local area network, or the Internet.
  • the computer system referred to generally as system 1000 may include, for example, a central processing unit (CPU) 1001 , random access memory (RAM) 1004 , a printer interface 1010 , a display unit 1011 , a local area network (LAN) data transmission controller 1005 , a LAN interface 1006 , a network controller 1003 , an internal bus 1002 , and one or more input devices 1009 , for example, a keyboard, mouse etc.
  • the system 1000 may be connected to a data storage device, for example, a hard disk, 1008 via a link 1007 .

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US20050273457A1 (en) 2005-12-08
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US20050267859A1 (en) 2005-12-01
WO2005114490A2 (fr) 2005-12-01
WO2005114491A2 (fr) 2005-12-01
US8489551B2 (en) 2013-07-16
WO2005114490A3 (fr) 2006-05-11
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US8943050B2 (en) 2015-01-27
WO2005114485A3 (fr) 2006-01-26
WO2005114486A1 (fr) 2005-12-01
EP1756737A1 (fr) 2007-02-28
ATE534960T1 (de) 2011-12-15
WO2005114491A3 (fr) 2006-05-11
WO2005114485A2 (fr) 2005-12-01
EP1759312B1 (fr) 2017-08-02
WO2005114483A3 (fr) 2006-01-19
EP1756736B1 (fr) 2017-07-05
WO2005114492A3 (fr) 2006-05-11
US8521696B2 (en) 2013-08-27
US20050267857A1 (en) 2005-12-01
US20060294114A1 (en) 2006-12-28
US9002780B2 (en) 2015-04-07
EP1759312A2 (fr) 2007-03-07
EP1756736A2 (fr) 2007-02-28
WO2005114492A2 (fr) 2005-12-01
US20050267858A1 (en) 2005-12-01

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