U.S. patent application number 11/379900 was filed with the patent office on 2006-08-17 for proactive caching in olap databases.
This patent application is currently assigned to Microsoft Corporation. Invention is credited to Thomas P. Conlon, Amir Netz, Cristian Petculescu.
Application Number | 20060184518 11/379900 |
Document ID | / |
Family ID | 32989579 |
Filed Date | 2006-08-17 |
United States Patent
Application |
20060184518 |
Kind Code |
A1 |
Petculescu; Cristian ; et
al. |
August 17, 2006 |
PROACTIVE CACHING IN OLAP DATABASES
Abstract
The present invention leverages MOLAP performance for ROLAP
objects (dimensions, partitions and aggregations) by building, in a
background process, a MOLAP equivalent of that object. When the
background processing completes, queries are switched from ROLAP
queries to MOLAP queries. When changes occur to relevant relational
objects (such as tables that define content of OLAP objects), an
OLAP object is switched back to a ROLAP mode, and all relevant
caches are dropped while, as a background process, a new MOLAP
equivalent is created.
Inventors: |
Petculescu; Cristian;
(Redmond, WA) ; Netz; Amir; (Bellevue, WA)
; Conlon; Thomas P.; (Redmond, WA) |
Correspondence
Address: |
AMIN & TUROCY, LLP
24TH FLOOR, NATIONAL CITY CENTER
1900 EAST NINTH STREET
CLEVELAND
OH
44114
US
|
Assignee: |
Microsoft Corporation
Redmond
WA
|
Family ID: |
32989579 |
Appl. No.: |
11/379900 |
Filed: |
April 24, 2006 |
Related U.S. Patent Documents
|
|
|
|
|
|
Application
Number |
Filing Date |
Patent Number |
|
|
10402000 |
Mar 28, 2003 |
|
|
|
11379900 |
Apr 24, 2006 |
|
|
|
Current U.S.
Class: |
1/1 ;
707/999.003 |
Current CPC
Class: |
Y10S 707/954 20130101;
Y10S 707/99931 20130101; Y10S 707/99933 20130101; G06F 16/283
20190101; Y10S 707/957 20130101 |
Class at
Publication: |
707/003 |
International
Class: |
G06F 17/30 20060101
G06F017/30 |
Claims
1. A system for caching information, comprising: a multidimensional
objects interface that allows for accessing at least one
multidimensional object; a cache interface that allows for
accessing and controlling at least one cache providing dynamic
multidimensional analysis data derived from the multidimensional
object; and an analysis component that provides for proactively
controlling access to the multidimensional object and the
cache.
2. The system of claim 1, the analysis component comprising a query
interpreter for receiving and qualifying queries based upon an
input corresponding to proactively controlling the cache.
3. The system of claim 2, the input being at least one of a user
input and a system input.
4. The system of claim 1, the analysis component further comprising
an update component that automatically detects system
conditions.
5. The system of claim 3, the user input comprising at least one of
a quiet time delay, a quiet time delay override, a forced refresh
time, and a user initiated partial cache rebuild.
6. The system of claim 1, the analysis component having proactive
caching operational modes comprising at least one of a Relational
On-line Analytical Processing (ROLAP) mode, a Multidimensional
On-line Analytical Processing (MOLAP) mode, and a MOLAP and ROLAP
hybrid (MOLAP/ROLAP) mode.
7. The system of claim 1, the analysis component comprising an
adaptive tuning component that optimizes the analysis
component.
8. The system of claim 7, the adaptive tuning component,
comprising: a query interpreter that handles queries and initiates
query sessions with the multidimensional object and the cache; a
result comparator that determines differences between the query
sessions of the multidimensional object and the cache; and a
performance optimizer that optimizes the query interpreter based on
the differences determined by the result comparator.
9. The system of claim 1, further comprising an On-line Transaction
Processing (OLTP) component that facilitates interaction with an
OLTP system.
10. A method of proactive caching, comprising: determining an
operational mode of an analysis component based, at least in part,
upon an input, the analysis component having different operational
modes; proactively building at least one cache providing dynamic
multidimensional analysis data derived from at least one
multidimensional object; and proactively controlling the at least
one cache based at least in part on the determined operational
mode.
11. The method of claim 10, further comprising: switching the
analysis component to the determined operational mode; and
processing queries via the analysis component utilizing the
determined operational mode.
12. The method of claim 10, further comprising: determining if
relevant multidimensional objects have changed; and switching the
analysis component operational mode to access the multidimensional
objects when relevant changes have occurred.
13. The method of claim 12, further comprising: removing cache data
related to the relevant changes; and rebuilding the cache based on
the changed multidimensional objects.
14. The method of claim 12, determining if relevant
multidimensional objects have changed comprising: creating a list
of tracking tables; and utilizing the list of tracking tables to
ascertain whether an object has changed.
15. The method of claim 10, the input comprising at least one of
one or more user inputs and one or more system inputs.
16. The method of claim 10, further comprising determining whether
a cache rebuild parameter has been satisfied.
17. The method of claim 16, the cache rebuild parameter comprising
at least one selected from the group consisting of a forced refresh
rate, a quiet time delay, and a quiet time delay override.
18. The method of claim 10, further comprising setting the
operational mode to a MOLAP/ROLAP mode in response to at least one
of both real-time and low latency queries and partial rebuilding of
a MOLAP cache required.
19. The method of claim 10, further comprising: identifying
relevant changes during the building of the cache; canceling the
building of the cache if relevant changes occur before the
completion of the building of the cache; and at least one input for
determining when to proactively control the cache.
20. A system for caching information, comprising: means for
providing dynamic multidimensional analysis data; means for
proactively building a cache containing a first multidimensional
object and at least one equivalent object stored in a different
format than the first multidimensional object; and means for
proactively controlling access to a cache and multidimensional data
contained therein to provide a desired query response.
Description
RELATED APPLICATIONS
[0001] This application is a continuation of U.S. patent
application Ser. No. 10/402,000, filed Mar. 28, 2003, entitled
"SYSTEMS AND METHODS FOR PROACTIVE CACHING UTILIZING OLAP
VARIANTS". This application is also related to divisional U.S.
patent application Ser. No. 11/329,616, filed Jan. 11, 2006,
entitled "SYSTEMS AND METHODS FOR PROTECTIVE CACHING UTILIZING OLAP
VARIANTS" and divisional U.S. patent application Ser. No.
11/329,446, filed Jan. 11, 2006, entitled "SYSTEMS AND METHODS FOR
PROTECTIVE CACHING UTILIZING OLAP VARIANTS". The entireties of the
aforementioned applications are incorporated herein by
reference.
TECHNICAL FIELD
[0002] The present invention relates generally to caching data, and
more particularly to systems and methods for proactively caching
data utilizing OLAP variants.
BACKGROUND OF THE INVENTION
[0003] Computing and networking technologies have transformed many
important aspects of everyday life. Computers have become a
household staple instead of a luxury, educational tool or
entertainment center, and provide users with a tool to manage and
forecast finances, control household operations like heating,
cooling, lighting and security, and store records and images in a
permanent and reliable medium. Networking technologies like the
Internet provide users with virtually unlimited access to remote
systems, information and associated applications.
[0004] As computing and networking technologies become robust,
secure and reliable, more consumers, wholesalers, retailers,
entrepreneurs, educational institutions and the like are shifting
paradigms and employing networks, such as the Internet, to perform
business instead of the traditional means. For example, many
businesses and consumers are providing web sites or on-line
services. For example, today a consumer can access his/her account
via the Internet and perform a growing number of available
transactions such as balance inquiries, funds transfers and bill
payment.
[0005] Typically, a network session includes a user interfacing
with a client application to interact with a server that stores
information in a database that is accessible to the client
application. For example, a stock market web site can provide the
user with tools for retrieving stock quotes and purchasing stock.
The user can type in a stock symbol and request a stock quote by
performing a mouse click to activate a query. The client
application queries a database table of stocks and returns a stock
quote.
[0006] A shortcoming of computing and networking technologies is
the limited bandwidth. A user consumes a portion of the bandwidth
whereby the portion consumed is not available to other users.
Therefore, as more and more users employ a network, the available
bandwidth decreases which can reduce response time and performance.
Another shortcoming of computing and networking technologies is the
limited available data transfer rates relative to the quantity of
data available. For example, requests that retrieve large amounts
of data (e.g., distributed across various servers) can be time
intensive, which can diminish performance also.
[0007] Thus, Business Intelligence (BI) solutions were developed to
aid in accessing information about large databases. Most businesses
in recent times have migrated to relational type databases. Data
warehouses were developed to store tactical information to answer
the "who" and "what" questions about the stored data related to
previous events. However, this proved limiting due to the fact that
data warehouses only have the capability of retrieving historical
data. Therefore, on-line analytical processing (OLAP) systems were
developed to not only answer the "who" and "what", but also the
"what if" and "why" of the data. OLAP systems are multidimensional
views of aggregate data that allow analysts, business managers, and
executives to gain insight into the information through a quick,
reliable, interactive process.
[0008] Analysis tools, including OLAP tools, help to reduce the
access times to extreme amounts of data. By utilizing these tools,
a user can ask general questions or "queries" about the data rather
than retrieve all the data verbatim. Thus, "data about data" or
metadata helps expedite the query process and reduce the required
network bandwidth. However, as is typical in a business
environment, what was fast yesterday is considered slow by today's
standard. There is always an increasing demand for faster
information delivery, in spite of the exponentially expanding sizes
of data stores.
SUMMARY OF THE INVENTION
[0009] The following presents a simplified summary of the invention
in order to provide a basic understanding of some aspects of the
invention. This summary is not an extensive overview of the
invention. It is not intended to identify key/critical elements of
the invention or to delineate the scope of the invention. Its sole
purpose is to present some concepts of the invention in a
simplified form as a prelude to the more detailed description that
is presented later.
[0010] The present invention relates generally to caching data, and
more particularly to systems and methods for proactively caching
data utilizing OLAP variants. OLAP variants are leveraged to create
multiple query sources about a data source. By efficiently
converting multidimensional object based on the data source to an
OLAP variant cache, such as a MOLAP (Multidimensional OLAP) cache,
users gain an ability to have queries quickly analyzed and also
maintain a capability to access the data source real-time. The
present invention also allows for interactive participation by the
user as to when a variant is utilized, providing faster and more
user-oriented query responses than by employing a non-proactive
caching scheme.
[0011] The present invention also facilitates data analysis by
decreasing the need to directly access large databases through
employment of a cache based, in part, on multidimensional analysis
data, extending the usefulness of existing data structures and
providing quick and efficient analysis of extremely large
databases. Because all OLAP variants have strengths and weaknesses,
a system utilizing a single variant generally does not satisfy a
user completely, returning stale data and/or responding slowly. The
present invention drastically decreases the query response time
and, at the same time, enables real-time information to be
extracted, allowing a user to receive data quickly and seemingly
transparent as to the variant utilized to respond to a query,
maximizing user-friendliness, increasing the speed of information
retrieval, and providing reliable information regardless of the
variant employed.
[0012] To the accomplishment of the foregoing and related ends,
certain illustrative aspects of the invention are described herein
in connection with the following description and the annexed
drawings. These aspects are indicative, however, of but a few of
the various ways in which the principles of the invention may be
employed and the present invention is intended to include all such
aspects and their equivalents. Other advantages and novel features
of the invention may become apparent from the following detailed
description of the invention when considered in conjunction with
the drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
[0013] FIG. 1 illustrates an exemplary proactive caching process in
accordance with an aspect of the present invention.
[0014] FIG. 2 is a block diagram of a database serving system in
accordance with an aspect of the present invention.
[0015] FIG. 3 is another block diagram of a database serving system
in accordance with an aspect of the present invention.
[0016] FIG. 4 is yet another block diagram of a database serving
system in accordance with an aspect of the present invention.
[0017] FIG. 5 is a block diagram of a cache development structure
in accordance with an aspect of the present invention.
[0018] FIG. 6 is another block diagram of a cache development
structure in accordance with an aspect of the present
invention.
[0019] FIG. 7 is a block diagram of a proactive caching system in
accordance with an aspect of the present invention.
[0020] FIG. 8 is another block diagram of a proactive caching
system in accordance with an aspect of the present invention.
[0021] FIG. 9 is a block diagram of proactive caching system inputs
in accordance with an aspect of the present invention.
[0022] FIG. 10 is a block diagram of proactive caching system
parameters in accordance with an aspect of the present
invention.
[0023] FIG. 11 is yet another block diagram of proactive caching
system in accordance with an aspect of the present invention.
[0024] FIG. 12 is a flow diagram illustrating a method of proactive
caching in accordance with an aspect of the present invention.
[0025] FIG. 13 is another flow diagram illustrating a method of
proactive caching in accordance with an aspect of the present
invention.
[0026] FIG. 14 is yet another flow diagram illustrating a method of
proactive caching in accordance with an aspect of the present
invention.
[0027] FIG. 15 is still yet another flow diagram illustrating a
method of proactive caching in accordance with an aspect of the
present invention.
[0028] FIG. 16 is still yet another flow diagram illustrating a
method of proactive caching in accordance with an aspect of the
present invention.
[0029] FIG. 17 is still yet another flow diagram illustrating a
method of proactive caching in accordance with an aspect of the
present invention.
[0030] FIG. 18 illustrates an example operating environment in
which the present invention can function.
[0031] FIG. 19 illustrates another example operating environment in
which the present invention can function.
[0032] FIG. 20 illustrates yet another example operating
environment in which the present invention can function.
DETAILED DESCRIPTION OF THE INVENTION
[0033] The present invention is now described with reference to the
drawings, wherein like reference numerals are used to refer to like
elements throughout. In the following description, for purposes of
explanation, numerous specific details are set forth in order to
provide a thorough understanding of the present invention. It may
be evident, however, that the present invention may be practiced
without these specific details. In other instances, well-known
structures and devices are shown in block diagram form in order to
facilitate describing the present invention.
[0034] As used in this application, the term "component" is
intended to refer to a computer-related entity, either hardware, a
combination of hardware and software, software, or software in
execution. For example, a component may be, but is not limited to
being, a process running on a processor, a processor, an object, an
executable, a thread of execution, a program, and/or a computer. By
way of illustration, both an application running on a server and
the server can be a computer component. One or more components may
reside within a process and/or thread of execution and a component
may be localized on one computer and/or distributed between two or
more computers. A "thread" is the entity within a process that the
operating system kernel schedules for execution. As is well known
in the art, each thread has an associated "context" which is the
volatile data associated with the execution of the thread. A
thread's context includes the contents of system registers and the
virtual address belonging to the thread's process. Thus, the actual
data comprising a thread's context varies as it executes.
[0035] Since no single OLAP variant can provide both low latency
and real-time data, the present invention leverages MOLAP
performance for ROLAP objects (dimensions, partitions and
aggregations) by building, as a background process, a MOLAP
equivalent of that object. When the background processing is
completed, object usage is switched to MOLAP queries, enabling much
faster query response times. As changes occur to relevant
relational objects (such as tables that define a content of the
OLAP objects), the OLAP object is switched back to a ROLAP mode,
and all the relevant caches are dropped while, in the background, a
new MOLAP equivalent is created. Thus, the MOLAP equivalent is
employed to provide a cache which is proactively controlled
depending upon the mode being utilized to process the queries. This
allows a user to get the benefit of immediate browsing of data
(and/or to always reflect the most up-to-date picture of a
relational database) without paying the typical performance price
of querying ROLAP objects. This permits the user to perceive the
present invention as a shim layer of metadata around a database,
such as a relational database and the like, always providing the
most up-to-date data as quickly as possible. In order to achieve
maximum global performance users have various options by which they
can fine tune proactive caching and influence its behavior
vis-a-vis of changes in a relational database (these options are
detailed infra).
[0036] If a user is interested in viewing the most recent data
(real-time OLAP), but doesn't want the delay inherent in browsing
ROLAP data, the user can instruct a system to build, in a
background transaction, an equivalent MOLAP object and to "switch"
the queries to use a MOLAP "image" instead. When changes occur to
underlying relational objects, the system automatically responds to
them as soon as they occur and opens a short transaction that
reverts an object back to a ROLAP mode. Then, the system will
re-open the background transaction and rebuild the MOLAP image.
Should an update happen while the background transaction is in
progress, MOLAP processing is canceled and the background
transaction is restarted. These background transactions are
somewhat "second class citizens" in the sense that they can be
canceled in case a user initiated transaction needs to lock an
object in a mode incompatible with a current locking mode of an
object, due to a background transaction.
[0037] In FIG. 1, an exemplary proactive caching process 100 in
accordance with an aspect of the present invention is illustrated.
The proactive caching process 100 starts 102 and a ROLAP object is
processed into a MOLAP cache 104. The process 100 is completed 106,
unless a cancel is received, invoking a check on whether a database
has changed 108. If the database has no changes 108, the process
100 is completed 106. However, if the database has changes 108, the
process 100 is rescheduled and starts again 102. In a typical
instance of the present invention, actions are generated by a user
110. These actions 110 can include committing of processing of a
ROLAP object 112 which initiates the process 100. Another action
generated by the user 110 can include starting another transaction
on the ROLAP object 114, canceling an existing ROLAP object to
MOLAP cache process 104. A system can also automatically detect
conditions 116 such as, for example, a database change 118 and the
like. Once a database change 118 has occurred, an existing ROLAP
object to MOLAP cache process 104 is canceled.
[0038] A user can also specify a minimum duration of "quiet time"
via a "quiet time delay" feature before starting a background
transaction of building a new MOLAP image. This allows multiple
cross-transaction insert/updates into an OLTP (On-Line Transaction
Processing) (many OLTP applications update transactional data this
way, by individual inserts at a certain moment in time). This
reduces the query stress that an OLAP server puts on an OLTP system
by repetitive queries. The quiet time delay is accomplished by a
component that keeps track of a "last updated" time of any involved
tables.
[0039] Similar to the quiet time delay feature, an optional
"delayed" triggering feature specifies that all changes are tracked
in a background thread that treats accumulated changes every
designated time period (a configurable interval). In the logical
scheme, this feature is implemented by a queue implementation in
between the two threads, all of the invocations being handled
through this queue. This feature permits a notification mechanism
that can be presented by certain providers to prevent overloading
an OLTP with queries that ask whether the tables were updated or
not. Generally, this is accomplished on a per server basis (not per
object) because it describes a notification behavior of a whole
proactive caching subsystem.
[0040] Another feature allows for "manual" changes to be made via a
means for a user to mark certain tables/views/ROLAP objects as
being "dirty", triggering the above process manually. This is
typically done by a DDL (Data Definition Language) statement that
can be sent to a server through a regular mechanism, e.g., XML/A
(extensible Markup Language/Analysis) and the like. In one aspect
of the present invention, there can be two categories of marking:
relational object marking (potentially can affect multiple ROLAP
objects) and/or ROLAP object marking (basically bootstrapping a
relational layer as far as dependencies are concerned).
[0041] Yet another feature permits a means for creating a list of
tracking tables. A user can label tables that affect a certain
ROLAP object. The advantages of doing this include the following.
One advantage of this feature is that if a certain table on which
an object is based upon is not a real table but a view or a DSV
(Data Set Viewer) view (named query), it would be hard to track
events on whether a view changed (typical notification
mechanisms--SQL (Structured Query Language) notification and
triggers operate on tables and materialized views, not regular
views and named queries). In the absence of this feature, the only
reasonable way of tracking changes to a view is to parse its SQL
definition (but, again, it might be based on other views by itself
and parsing SQL is not a reasonable approach). Another advantage is
related to the "manual" change feature. Often, it is desirable to
mark an object as dirty even if it doesn't have bindings to a
certain table but that table changed.
[0042] In one aspect of the present invention, the means has a
capability for listing tables in at least one of two places: 1)
Within a DSV, a list of alternate tables is provided for proactive
caching tracking. Thus, for proactive caching purposes, when a
ROLAP object depends on this table, it registers itself as actually
depending on alternate tables. It is desirable that the alternate
tables are trackable relational objects (tables and/or materialized
views, not views). 2) Within a ROLAP object, a list of
alternate/additional tables is provided by which to track the
object. This is often needed for objects that do not have necessary
bindings to relational objects within a DSV (partitions). It is
desirable that these tables are trackable objects as well (tables
and/or materialized views).
[0043] Still yet another feature provides a means for a "Limited
latency". This feature specifies a duration between a start of a
new MOLAP image creation and a cancellation of an old MOLAP image
and reverting to ROLAP (if any). In one aspect of the present
invention, by default, this duration is zero (basically, two
transactions--one that rolls back an object to ROLAP and one that
starts building a MOLAP engine--start in parallel). Advantages of
this feature include having a duration in which queries go to a
ROLAP store drops to a minimum and providing analysis at the end of
building a MOLAP image of a ROLAP proactive cached dimension (in
case an expiration interval didn't pass yet). If a change was truly
incremental, a proactive cached partition is not affected. If a
change affected non-granularity attributes, it can drop (revert to
ROLAP and reschedule) flexible aggregations and leave everything
else untouched. Otherwise, the means reverts dependent
partitions/aggregations to ROLAP.
[0044] A "quiet time override" feature provides a means to specify
that if this amount of time after an initial notification is
reached, MOLAP imaging kicks in unconditionally. However, it should
be noted that, in one aspect of the present invention, if a MOLAP
imaging has been started due to an override and if another
notification comes while this is in building, that notification
does not cancel the MOLAP imaging that is in progress. It is
recorded for normal treatment (while if a processing has been
started using a "normal" path, a notification results in the
canceling of a MOLAP imaging if the current storage mode is
ROLAP).
[0045] A "force rebuild" feature specifies that a MOLAP imaging
starts unconditionally at this time after a fresh image has been
built. In one aspect of the present invention, if notifications
come while this is in progress, they are queued for normal
treatment.
[0046] Turning to FIG. 2, a block diagram of a database serving
system 200 in accordance with an aspect of the present invention is
shown. The database serving system 200 is comprised of a proactive
caching system 202, multidimensional objects 208, such as "OLAP
objects" and the like, with a multidimensional objects subset 232,
and a database 210 with a capability of accepting updates 218. The
proactive caching system 202 is comprised of an analysis component
204 and at least one cache 206 with a cache subset 230. This system
200 provides query analysis and response to users via the proactive
caching system 202. The proactive caching system 202 leverages
multidimensional objects 208 based on the database 210 to provide a
system for providing low latency responses and/or real-time
responses while remaining seemingly transparent to a user.
[0047] In this aspect of the present invention, the analysis
component 204 has inputs comprising a query input 220, a user input
212, a system input 214, and a database input 216 for update
notifications and the like. In other instances of the present
invention, the database input 216 is part of the system input 214.
The analysis component 204 has a cache interface 222 and a
multidimensional objects interface 224. These interfaces 222, 224
provide access from the analysis component 204 to the cache 206
and/or the multidimensional objects 208, dependent upon a desired
query response (i.e., proactively seeking an appropriate cache for
an appropriate response). In other aspects of the present
invention, the analysis component has a cache subset interface 226
to the cache subset 230 and a multidimensional objects subset
interface 228 to the multidimensional objects subset 232. The
subset interfaces 226, 228 provide access to subsets of the cache
206 and the multidimensional objects 208 while other parts of the
cache 206 and/or the multidimensional objects 208 are being
updated. The cache 206 is comprised of information derived from the
multidimensional objects 208. The multidimensional objects 208 are
based on the database 210.
[0048] In one instance of the present invention, a system for
caching information is comprised of at least one multidimensional
object 208 providing dynamic multidimensional analysis data derived
from a database 210, at least one cache 206 providing dynamic
multidimensional analysis data from at least one multidimensional
object 208 and at least one analysis component 204 coupled to the
multidimensional object 208 and the cache 206 for proactively
controlling access to the multidimensional object 208 and the cache
206. In other instances of the present invention, the
multidimensional object 208 is comprised of OLAP objects, such as
ROLAP objects and the like. In yet another instance of the present
invention, the analysis component 204 is comprised of a UDM
(Unified Dimensional Model). In still yet another instance of the
present invention, the cache 206 is comprised of a MOLAP cache and
the like. Other instances of the present invention include, but are
not limited to, the multidimensional object 208 comprising
real-time access analysis data and the cache 206 comprising quick
access analysis data. Even other instances of the present invention
include a database 210 being comprised of a relational
database.
[0049] Additional instances of the present invention also include a
proactive caching system 202 that is comprised of an analysis
component 204, a cache 206, and a multidimensional objects
interface 224 that allows for accessing at least one
multidimensional object 208. The analysis component having
capabilities to control access to the multidimensional objects 208
and to the cache 206. Thus, it is not necessary for the
multidimensional objects 208 to be part of the proactive caching
system 202. The multidimensional objects 208 can be part of a
database management system. The present invention, therefore,
allows flexibility in its employment by having a capability to be
utilized with existing database management systems. This enhances
existing systems, maximizing their usefulness while increasing
their performance.
[0050] Further instances of the present invention additionally
include a proactive caching system 202 that is comprised of an
analysis component 204, a cache interface 222 that allows for
accessing and controlling a cache 206, and a multidimensional
objects interface 224 that allows for accessing at least one
multidimensional object 208. Thus, the cache 206 can reside
external to the proactive caching system 202. This allows even
greater flexibility in implementing the present invention to
existing platforms with caching resources already available.
[0051] Referring to FIG. 3, another block diagram of a database
serving system 300 in accordance with an aspect of the present
invention is depicted. The database serving system 300 is comprised
of a proactive caching system 302, multidimensional objects 308,
such as OLAP objects and the like, and a database 310 with a
capability of accepting updates 318. The proactive caching system
302 is comprised of an analysis component 304 and a cache 306. In
this aspect of the present invention, the analysis component 304
has inputs comprising a query input 320, a user input 312, a system
input 314, and a database input 316 for update notifications and
the like. In other instances of the present invention, the database
input 316 is part of the system input 314. The analysis component
304 has a multidimensional objects interface 322. In this aspect of
the present invention, the cache 306 is being built in a background
operation based on the multidimensional objects 308. Therefore, the
analysis component 304 is not actively interfacing to respond to
queries with the cache 306 at this particular time. Thus, the
analysis component 304 responds to query inputs 320 by accessing
the multidimensional objects 308 only.
[0052] Moving on to FIG. 4, yet another block diagram of a database
serving system 400 in accordance with an aspect of the present
invention is illustrated. The database serving system 400 is
comprised of a proactive caching system 402, multidimensional
objects 408, such as OLAP objects and the like, and a database 410
with a capability of accepting updates 418 to a database table 426.
The proactive caching system 402 is comprised of an analysis
component 404 and a new cache 406. In this aspect of the present
invention, the analysis component 404 has inputs comprising a query
input 420, a user input 412, a system input 414, and a database
input 416 for update notifications and the like. In other instances
of the present invention, the database input 416 is part of the
system input 414. The analysis component 404 has a multidimensional
objects interface 422. In this aspect of the present invention, the
new cache 406 is being built in a background operation from the
multidimensional objects 408. Therefore, the analysis component 404
is not actively interfacing to respond to queries with the new
cache 406 at this particular time. Thus, the analysis component 404
responds to query inputs 420 by accessing the multidimensional
objects 408 only. Additionally, an update 418 is received that
affects the database table 426. In this example of one aspect of
the present invention, the change in the database table 426 also
affects the multidimensional objects 408 from which the query input
420 relies upon for a response. Thus, an old cache 424, based on
database data prior to the update 418, is removed and the new cache
406 is built in a background process of the proactive caching
system 402 in order to reflect the latest database data update. In
other instances of the present invention, the removal of the old
cache 424 can be caused by a user input 412 and/or a system input
414.
[0053] Turning to FIG. 5, a block diagram of a cache development
structure 500 in accordance with an aspect of the present invention
is shown. The structure 500 is comprised of a database 502
containing a database table 510, a metadata set 504, a dimensional
model (multidimensional objects such as "OLAP objects" and the
like) 506, and a cache 508. Typically, information about data from
the database 502 is compiled into the metadata set 504. Metadata
objects are constructed from the metadata set 504 to form the
dimensional model 506. The dimensional model 506 usually includes
dimensions, cubes, and measures and the like. This allows an OLAP
management tree to access the metadata objects in the dimensional
model 506. In this manner, a cache 508 with dynamic
multidimensional analysis data derived from a multidimensional
object based on a relevant database can be constructed from the
dimensional model 506.
[0054] Continuing on with FIG. 6, another block diagram of a cache
development structure 600 in accordance with an aspect of the
present invention is shown. In this instance of the present
invention, the structure 600 is comprised of a relational database
602 containing a relational database table 610, a metadata set 604,
ROLAP objects 606, and a MOLAP cache 608. In this example, the
MOLAP cache 608 is constructed from ROLAP objects derived from the
metadata set 604 and the relational database 610. Having two
different OLAP data set variants available (e.g., ROLAP and MOLAP
variants and the like), allows for proactively accessing an
appropriate data set to transparently deliver a query response in a
fashion desired by a user and/or a system.
[0055] In FIG. 7, a block diagram of a proactive caching system 700
in accordance with an aspect of the present invention is
illustrated. The proactive caching system 700 is comprised of an
analysis component 702, a cache 704 with a cache subset 720, and
multidimensional objects 706, such as OLAP objects and the like,
with a multidimensional objects subset 722. In one aspect of the
present invention, the analysis component 702 comprises a query
interpreter 710, a low latency terminal 714, and a real-time
terminal 712. The analysis component 702 can accept inputs such as
a user input 716, a system input 718, and a query input 708 and the
like. In one aspect of the present invention, the query interpreter
710 can parse or resolve a complex query into "parts" and
proactively decide which terminal 712, 714 is appropriate based
upon content of the query input 708. For example, Part #1 can be
labeled "time sensitive data" and be directed to the low latency
terminal 714 in order to access the cache 704 and, specifically,
the cache subset 720. Likewise, Part #2 can be labeled "latest
data" and be directed to the real-time terminal 712 in order to
access the multidimensional objects 706 and, specifically, the
multidimensional objects subset 722. In a similar fashion, Part #n
(where "n" represents an integer from 1 to infinity) can be labeled
as either of the above categories and be directed to either the
cache 706 and/or the multidimensional objects 708. In yet another
aspect of the present invention, parsing of the query input 708 can
be based on the user input 716 and/or the system input 718
(including database statuses and the like). Although "low latency"
and "real-time" are described as "terminals," they are in fact part
of the analysis component and do not need to be separate entities
as depicted in FIG. 7. Thus, these can be included as part of the
query interpreter 710, as part of the cache 706 and/or the
multidimensional objects 704 as an embedded filter that controls
incoming data, and/or as part of an external filter.
[0056] Referring to FIG. 8, another block diagram of a proactive
caching system 800 in accordance with an aspect of the present
invention is shown. The proactive caching system 800 is comprised
of an analysis component 802, a cache 804, and multidimensional
objects 806, such as OLAP objects and the like. In one aspect of
the present invention, the analysis component 802 comprises a query
interpreter 816, a low latency terminal 818, and a real-time
terminal 820. The query interpreter 816 handles multiple query
inputs 808. This can include any number of inputs, but for the sake
of a brief illustration, three inputs are shown. These inputs
include User #1 input 810, User #2 input 812, and User #3 input
814. Each user input constitutes at least one query which the query
interpreter 816 analyzes. For example, if the first User #1 input
contains Query #1 with a dimension of "product info" and database
status relative to that information of "database stable", the query
interpreter 816 can direct that access to the low latency terminal
818 for accessing the cache 804. The cache 804 can be a
multidimensional OLAP cache with fast response time and the like.
If the second User #2 input contains Query #2 with a dimension of
"demographics" and database status relative to that information of
"database updating", the query interpreter 816 can direct that
access to the real-time terminal 820 for accessing the
multidimensional objects 806. The multidimensional objects'
characteristics can include real-time data access and the like.
Likewise, if the third User #3 input has a dimension of "financial
data" and a database status relative to that information of
"database updating", the query interpreter 816 can direct that
access to the real-time terminal 820 for accessing the
multidimensional objects 806. In this fashion, the proactive
caching system 800 provides a user with desired responses without
having active user input as to which cache is to be utilized.
However, the present invention does not preclude utilizing user
and/or system inputs to determine how and/or when to proactively
cache.
[0057] Turning to FIG. 9, a block diagram of proactive caching
system inputs 900 in accordance with an aspect of the present
invention is illustrated. As described supra, an analysis component
902 can have multiple inputs. These include, but are not limited
to, query inputs 904, user inputs 906, and system inputs 908. User
inputs 906 include, but are not limited to, quiet time delay 910,
quiet time delay override 912, forced refresh time 914, user
initiated partial cache rebuild 916, and user input "n" 918 (where
"n" represents any unlimited number and/or types of inputs), and
the like. System inputs 908 include, but are not limited to, last
database update tracker 920, tables affecting OLAP objects 922,
dependent OLAP objects data source tracker 924, and system input
"n" 926 (where "n" represents any unlimited number and/or types of
inputs), and the like.
[0058] Quiet time delay 910 is comprised of a means to keep track
of how much time has passed since a database has been updated
relative to some pertinent information. That pertinent information
can be an actual data table entry and/or an OLAP object. Quiet time
override 912 is comprised of a means determined by a system and/or
a user to override and rebuild a cache even though the quiet time
delay 910 has not been met. This prevents a cache from never being
updated due to sporadic but frequent updates to a database, always
occurring just before the quiet time delay 910 is reached. Forced
refresh time 914 is comprised of a means to force a refresh of the
cache at a given interval. This prevents a cache from containing
stale data in spite of the fact that a database has not reported
any updates within the forced refresh time 914. This also ensures
that even in a case where the database is unable to send status
data, the cache can be updated. User initiated partial cache
rebuild 916 is comprised of a means to allow a user to control what
portion and/or when that portion of the cache is to be rebuilt.
This allows a user to selectively decide if a particular subset,
for example, should be rebuilt while retaining other data for quick
accessibility. User input "n" 918 is comprised of any means for
aiding in proactive caching by the analysis component 902. One
skilled in the art can appreciate that many different timing
parameters and/or data parameters can be input by a user to aid in
more effectively utilizing proactive caching. One such means, for
example, includes allowing a user to input manual changes to mark
certain tables/views/OLAP objects as requiring an update.
[0059] Last database update tracker 920 is comprised of a means to
track when the database was last updated. This input can be
utilizes along with other inputs to determine the staleness of
cache data and the like. Tables affecting OLAP objects 922 is
comprised of a means to track/list database table data that is
related to an OLAP object that a cache is based upon. This allows
filtering of caching updates to prevent updating the cache when a
database has an unrelated table update. Dependent OLAP objects data
source tracker 924 is comprised of a means to track a dependency of
cache data to a particular OLAP object. This also allows filtering
of caching updates to prevent updating a cache when an unrelated
OLAP object changes. System input "n" 926 is comprised of any means
for aiding in proactive caching by the analysis component 902. One
skilled in the art can appreciate that many different timing
parameters and/or data parameters can be input by a system to aid
in more effectively utilizing proactive caching. This includes, but
is not limited to, database update notifications and the like
also.
[0060] It is important to note that although the above input
parameters are illustrated as going to the analysis component 902,
the analysis component 902 itself can include subcomponents that
provide functionality to perform the functions necessary to utilize
the inputs described above. It is also possible for external
components to the analysis component 920 to provide some and/or all
of the functionality required.
[0061] In FIG. 10, a block diagram of proactive caching system
parameters 1000 in accordance with an aspect of the present
invention are shown. In one instance of the present invention, the
proactive caching system parameters 1000 are comprised of
operational modes 1002 and triggers 1010 and the like. The
operational modes are comprised of ROLAP Mode 1004, MOLAP mode
1006, and MOLAP/ROLAP mode 1008 and the like. The triggers 1010 for
ROLAP Mode 1004 are comprised of quiet time delay met 1012, quiet
time delay override met 1014, forced refresh time met 1016, and
database update 1018 and the like. The triggers 1010 for MOLAP Mode
1006 are comprised of an equivalent MOLAP and ROLAP data set 1020
and a user demand for quick query response 1022 over a need for
real-time data and the like. The triggers 1010 for MOLAP/ROLAP Mode
are comprised of when low latency and real-time queries are both
required 1024 and when partial rebuilding of a MOLAP cache is
required 1026.
[0062] ROLAP Mode 1004 allows only ROLAP data to be accessed for
queries. This is typically a slower mode with real-time data
access. MOLAP Mode 1006 only allows MOLAP data to be accessed for
queries and is typically a default mode due to its quick
performance. To ensure data integrity and increased performance,
MOLAP Mode can be employed anytime MOLAP data equals ROLAP data.
This insures that no data accuracy is lost by utilizing the faster
means. It can also be employed by a user demanding quick access
over a need for real-time data and the like (other user inputs).
MOLAP/ROLAP Mode 1008 is a hybrid mode that allows access to both
MOLAP and ROLAP data. This permits a user and/or system to retrieve
any type of data desired at any type of latency desired. It also
permits partial rebuilding of the MOLAP cache with ROLAP objects
providing information for that portion of the MOLAP cache under
construction.
[0063] One skilled in the art can appreciate that the
aforementioned triggers and operational modes are in no way
exhaustive lists. FIG. 10 represents an example only of one aspect
of the present invention. Additional modes and triggers can also be
employed within the scope of the present invention as well.
[0064] Looking at FIG. 11, yet another block diagram of proactive
caching system 1100 in accordance with an aspect of the present
invention is illustrated. The proactive caching system comprising
an analysis component 1102, a MOLAP cache 1104, and OLAP objects
1106. The analysis component 1102 comprising an adaptive tuning
component 1110, a first session 1114, and a second session 1116.
The adaptive tuning component 1110 comprising a query interpreter
1112, a performance optimizer 1118, and a result comparator 1120. A
typical query 1108 is input into the query interpreter 1112. In
this aspect of the present invention, the query interpreter 1112 is
part of the adaptive tuning component 1110. Therefore, for
performance tuning, the query interpreter 1112 establishes a dual
session with the same query 1108. Thus, the query 1108 is sent via
session #1 1114 to the MOLAP cache 1104 and via session #2 1116 to
the OLAP objects 1106. Each session 1114, 1116 produces a response
that is sent to the result comparator 1120. The result comparator
1120, in turn, determines any differences between the two sessions
1114, 1116. These differences, if any, are reported to the
performance optimizer 1118. The performance optimizer 1118 tracks
the differences and adaptively alters how the query interpreter
1112 reacts to future queries. One skilled in the art will
recognize that not all queries need to be continuously processed
via the two sessions 1114, 1116. Once a particular query has been
optimized, an occasional sampling is all that is required.
"Occasional" can be per minute, hourly, daily, monthly and/or
yearly and the like depending on the frequency that data is
queried. For example, previous sales records from a year ago can
result in identical results whether via session #1 1114 or session
#2 1116. Thus, when queried about sales records for the same time
period, the performance optimizer 1118 instructs the query
interpreter 1112 to only utilize the MOLAP cache 1104 for a quick
response. The performance optimizer 1118 can track data, usage, and
associated parameters to provide adaptive tuning even to user
settings, possibly providing a user with performance
suggestions.
[0065] In view of the exemplary systems shown and described above,
methodologies that may be implemented in accordance with the
present invention will be better appreciated with reference to the
flow charts of FIGS. 12-17. While, for purposes of simplicity of
explanation, the methodologies are shown and described as a series
of blocks, it is to be understood and appreciated that the present
invention is not limited by the order of the blocks, as some blocks
may, in accordance with the present invention, occur in different
orders and/or concurrently with other blocks from that shown and
described herein. Moreover, not all illustrated blocks may be
required to implement the methodologies in accordance with the
present invention.
[0066] The invention may be described in the general context of
computer-executable instructions, such as program modules, executed
by one or more components. Generally, program modules include
routines, programs, objects, data structures, etc. that perform
particular tasks or implement particular abstract data types.
Typically the functionality of the program modules may be combined
or distributed as desired in various embodiments.
[0067] Turning to FIG. 12, a flow diagram illustrating a method
1200 of proactive caching in accordance with an aspect of the
present invention is depicted. The method 1200 starts 1202 by
beginning to build a MOLAP cache equivalent of ROLAP objects in a
background process 1204. A determination is then made to detect
when the MOLAP cache is completed 1206. When completed, operational
mode is switched to utilizing the MOLAP mode 1208. Queries are then
processed employing the MOLAP cache 1210. A determination is then
made as to whether there has been any relevant change to the ROLAP
objects 1212. This can include any relevant changes to any
underlying data also. If no relevant changes have been made,
queries are continued to be processed utilizing the MOLAP cache
1210. However, if changes are present, the operational mode is
switched to ROLAP mode 1214. All relevant caches are then dropped
1216, ending the flow 1218. This cycle can be repeated indefinitely
in order to keep the MOLAP cache fresh in spite of any relevant
database changes.
[0068] Moving on to FIG. 13, another flow diagram illustrating a
method 1300 of proactive caching in accordance with an aspect of
the present invention is shown. The method 1300 starts 1302 by
providing a user input 1304. A determination is made as to whether
a MOLAP mode request was made 1306. If not, queries are continued
to be processed utilizing ROLAP mode 1322, ending the flow 1316.
However, if a MOLAP mode request is made, a MOLAP equivalent of
ROLAP objects are built as a background process 1308. A
determination is then made as to whether changes relevant to the
ROLAP objects have occurred 1310. If changes have occurred, the
MOLAP equivalent build is canceled 1318, the operational mode is
switched to ROLAP mode 1320, and a MOLAP equivalent of the ROLAP
objects is again constructed 1308. However, if no relevant changes
have occurred after completing the build of the MOLAP cache, the
operational mode is switched to MOLAP mode 1312 and query
processing utilizes the MOLAP cache 1314, ending the flow 1316.
[0069] Referring to FIG. 14, yet another flow diagram illustrating
a method 1400 of proactive caching in accordance with an aspect of
the present invention is illustrated. The method 1400 begins 1402
with a quiet time delay user input provided 1404. A MOLAP
equivalent of ROLAP objects is constructed in a background process
1406. A determination is then made as to whether any relevant
changes have occurred to the ROLAP objects 1408. If no changes have
occurred, queries are processed utilizing the MOLAP cache 1410,
ending the flow 1412. However, if changes have occurred to the
ROLAP objects, a determination is made as to whether the quiet time
delay has been met 1414. If not, a determination is made as to
whether a quiet time delay override has been met 1418. If the quiet
time delay override has not been met, the queries are processed
using the MOLAP cache 1410, ending the flow 1412. However, if the
quiet time delay override has been met, an operational mode is
switched to ROLAP mode and a MOLAP cache is once again constructed
1406. If, however, the quiet time delay has been met after
detecting relevant changes to the ROLAP objects, the operational
mode is switched to ROLAP mode 1416 and the MOLAP cache is built in
a back ground process 1406, continuing the cycle.
[0070] Turning to FIG. 15, still yet another flow diagram
illustrating a method 1500 of proactive caching in accordance with
an aspect of the present invention is shown. The method 1500 starts
1502 by providing a manual user input 1504. The manual user input
contains parameters that allow a user to designate certain
tables/views/objects and the like as "dirty" (i.e., in need of
updating if they are required to be accessed). A determination 1506
is made as to whether any relevant changes have occurred to ROLAP
objects 1506. This takes into account that dirty inputs may change
data relevant to cached data. If no relevant changes have occurred,
queries are processed employing a MOLAP cache 1514, ending the flow
1516. Typically, due to a higher performance gain, utilizing MOLAP
cache is a default condition for a proactive caching system and is
performed unless directed otherwise by a user and/or a system.
However, if relevant changes have occurred to the ROLAP objects
1506 (due to the dirty inputs and/or database updates and the
like), operational mode is switched to ROLAP mode 1508. The MOLAP
cache is then rebuilt in a background process 1510, and the
operational mode is switched to MOLAP mode once again 1512 when the
cache is completed. Query processing then continues to employ the
MOLAP cache 1514, ending the flow 1516.
[0071] In FIG. 16, still yet another flow diagram illustrating a
method 1600 of proactive caching in accordance with an aspect of
the present invention is shown. The method 1600 starts 1602 by a
user providing relative ROLAP object data inputs 1604. The input
data is then linked to appropriate ROLAP objects as being pertinent
1606. In this manner, a user can tag data as being relative to
cached data even though it was not derived specifically from this
data. A determination is then made as to whether any relevant
changes have occurred to ROLAP objects. This checks to see if the
new data links have established links from the ROLAP objects to
data that has changed. If no changes are found, queries are
processed employing a MOLAP cache 1616, ending the flow 1618. Due
to performance gains, MOLAP mode is considered the default mode.
However if changes have been made to relevant ROLAP objects 1608,
operational mode is switched to ROLAP mode 1610. A MOLAP cache is
then rebuilt from the ROLAP objects in a background process 1612.
Once completed, the operational mode is switched to MOLAP mode 1614
and queries are once again processed utilizing the MOLAP cache
1616, ending the flow 1618.
[0072] Looking at FIG. 17, still yet another flow diagram
illustrating a method 1700 of proactive caching in accordance with
an aspect of the present invention is depicted. The method 1700
starts 1702 with a user providing a forced refresh rate input 1704.
A determination is then made as to whether this input has been met
1706. If not, queries are processed utilizing a MOLAP cache 1714,
ending the flow 1716. Due to performance gains, MOLAP mode is
considered the default mode. However, if the forced refreshed rate
input has been met 1706, operational mode is switched to ROLAP mode
1708. The MOLAP cache is then rebuilt as a background process 1710.
Once completed, the operation mode is then switched back to MOLAP
mode 1712 and queries are processed employing the MOLAP cache 1714,
ending the flow 1716.
[0073] The aforementioned flows are meant to be representative
flows of various methods of the present invention. They in no way
encompass every iteration and variance within the scope of the
present invention. Those skilled in the art can appreciate that a
method can incorporate modifications and still remain within the
purview of the present invention.
[0074] In order to provide additional context for implementing
various aspects of the present invention, FIG. 18 and the following
discussion are intended to provide a brief, general description of
a suitable computing environment 1800 in which the various aspects
of the present invention may be implemented. While the invention
has been described above in the general context of
computer-executable instructions of a computer program that runs on
a local computer and/or remote computer, those skilled in the art
will recognize that the invention also may be implemented in
combination with other program modules. Generally, program modules
include routines, programs, components, data structures, etc. that
perform particular tasks and/or implement particular abstract data
types. Moreover, those skilled in the art will appreciate that the
inventive methods may be practiced with other computer system
configurations, including single-processor or multi-processor
computer systems, minicomputers, mainframe computers, as well as
personal computers, hand-held computing devices,
microprocessor-based and/or programmable consumer electronics, and
the like, each of which may operatively communicate with one or
more associated devices. The illustrated aspects of the invention
may also be practiced in distributed computing environments where
certain tasks are performed by remote processing devices that are
linked through a communications network. However, some, if not all,
aspects of the invention may be practiced on stand-alone computers.
In a distributed computing environment, program modules may be
located in local and/or remote memory storage devices.
[0075] As used in this application, the term "component" is
intended to refer to a computer-related entity, either hardware, a
combination of hardware and software, software, or software in
execution. For example, a component may be, but is not limited to,
a process running on a processor, a processor, an object, an
executable, a thread of execution, a program, and a computer. By
way of illustration, an application running on a server and/or the
server can be a component. In addition, a component may include one
or more subcomponents.
[0076] With reference to FIG. 18, an exemplary system environment
1800 for implementing the various aspects of the invention includes
a conventional computer 1802, including a processing unit 1804, a
system memory 1806, and a system bus 1808 that couples various
system components, including the system memory, to the processing
unit 1804. The processing unit 1804 may be any commercially
available or proprietary processor. In addition, the processing
unit may be implemented as multi-processor formed of more than one
processor, such as may be connected in parallel.
[0077] The system bus 1808 may be any of several types of bus
structure including a memory bus or memory controller, a peripheral
bus, and a local bus using any of a variety of conventional bus
architectures such as PCI, VESA, Microchannel, ISA, and EISA, to
name a few. The system memory 1806 includes read only memory (ROM)
1810 and random access memory (RAM) 1812. A basic input/output
system (BIOS) 1814, containing the basic routines that help to
transfer information between elements within the computer 1802,
such as during start-up, is stored in ROM 1810.
[0078] The computer 1802 also may include, for example, a hard disk
drive 1816, a magnetic disk drive 1818, e.g., to read from or write
to a removable disk 1820, and an optical disk drive 1822, e.g., for
reading from or writing to a CD-ROM disk 1824 or other optical
media. The hard disk drive 1816, magnetic disk drive 1818, and
optical disk drive 1822 are connected to the system bus 1808 by a
hard disk drive interface 1826, a magnetic disk drive interface
1828, and an optical drive interface 1830, respectively. The drives
1816-1822 and their associated computer-readable media provide
nonvolatile storage of data, data structures, computer-executable
instructions, etc. for the computer 1802. Although the description
of computer-readable media above refers to a hard disk, a removable
magnetic disk and a CD, it should be appreciated by those skilled
in the art that other types of media which are readable by a
computer, such as magnetic cassettes, flash memory cards, digital
video disks, Bernoulli cartridges, and the like, can also be used
in the exemplary operating environment 1800, and further that any
such media may contain computer-executable instructions for
performing the methods of the present invention.
[0079] A number of program modules may be stored in the drives
1816-1822 and RAM 1812, including an operating system 1832, one or
more application programs 1834, other program modules 1836, and
program data 1838. The operating system 1832 may be any suitable
operating system or combination of operating systems. By way of
example, the application programs 1834 and program modules 1836 can
include a database serving system and/or a proactive caching system
that utilizes data in accordance with an aspect of the present
invention. Additionally, the program data 1838 can include input
data for controlling and/or biasing a proactive caching system in
accordance with an aspect of the present invention.
[0080] A user can enter commands and information into the computer
1802 through one or more user input devices, such as a keyboard
1840 and a pointing device (e.g., a mouse 1842). Other input
devices (not shown) may include a microphone, a joystick, a game
pad, a satellite dish, wireless remote, a scanner, or the like.
These and other input devices are often connected to the processing
unit 1804 through a serial port interface 1844 that is coupled to
the system bus 1808, but may be connected by other interfaces, such
as a parallel port, a game port or a universal serial bus (USB). A
monitor 1846 or other type of display device is also connected to
the system bus 1808 via an interface, such as a video adapter 1848.
In addition to the monitor 1846, the computer 1802 may include
other peripheral output devices (not shown), such as speakers,
printers, etc.
[0081] It is to be appreciated that the computer 1802 can operate
in a networked environment using logical connections to one or more
remote computers 1860. The remote computer 1860 may be a
workstation, a server computer, a router, a peer device or other
common network node, and typically includes many or all of the
elements described relative to the computer 1802, although, for
purposes of brevity, only a memory storage device 1862 is
illustrated in FIG. 18. The logical connections depicted in FIG. 18
can include a local area network (LAN) 1864 and a wide area network
(WAN) 1866. Such networking environments are commonplace in
offices, enterprise-wide computer networks, intranets and the
Internet.
[0082] When used in a LAN networking environment, for example, the
computer 1802 is connected to the local network 1864 through a
network interface or adapter 1868. When used in a WAN networking
environment, the computer 1802 typically includes a modem (e.g.,
telephone, DSL, cable, etc.) 1870, or is connected to a
communications server on the LAN, or has other means for
establishing communications over the WAN 1866, such as the
Internet. The modem 1870, which can be internal or external
relative to the computer 1802, is connected to the system bus 1808
via the serial port interface 1844. In a networked environment,
program modules (including application programs 1834) and/or
program data 1838 can be stored in the remote memory storage device
1862. It will be appreciated that the network connections shown are
exemplary and other means (e.g., wired or wireless) of establishing
a communications link between the computers 1802 and 1860 can be
used when carrying out an aspect of the present invention.
[0083] In accordance with the practices of persons skilled in the
art of computer programming, the present invention has been
described with reference to acts and symbolic representations of
operations that are performed by a computer, such as the computer
1802 or remote computer 1860, unless otherwise indicated. Such acts
and operations are sometimes referred to as being
computer-executed. It will be appreciated that the acts and
symbolically represented operations include the manipulation by the
processing unit 1804 of electrical signals representing data bits
which causes a resulting transformation or reduction of the
electrical signal representation, and the maintenance of data bits
at memory locations in the memory system (including the system
memory 1806, hard drive 1816, floppy disks 1820, CD-ROM 1824, and
remote memory 1862) to thereby reconfigure or otherwise alter the
computer system's operation, as well as other processing of
signals. The memory locations where such data bits are maintained
are physical locations that have particular electrical, magnetic,
or optical properties corresponding to the data bits.
[0084] FIG. 19 is another block diagram of a sample computing
environment 1900 with which the present invention can interact. The
system 1900 further illustrates a system that includes one or more
client(s) 1902. The client(s) 1902 can be hardware and/or software
(e.g., threads, processes, computing devices). The system 1900 also
includes one or more server(s) 1904. The server(s) 1904 can also be
hardware and/or software (e.g., threads, processes, computing
devices). The servers 1904 can house threads to perform
transformations by employing the present invention, for example.
One possible communication between a client 1902 and a server 1904
may be in the form of a data packet adapted to be transmitted
between two or more computer processes. The system 1900 includes a
communication framework 1908 that can be employed to facilitate
communications between the client(s) 1902 and the server(s) 1904.
The client(s) 1902 are operably connected to one or more client
data store(s) 1910 that can be employed to store information local
to the client(s) 1902. Similarly, the server(s) 1904 are operably
connected to one or more server data store(s) 1906 that can be
employed to store information local to the servers 1904.
[0085] Turning to FIG. 20, an example operating environment 2000 in
which the present invention can function is shown. This typical
environment 2000 comprises an analysis services component 2002
linked to a data source 2010 and user interfaces 2012. The user
interfaces 2012 are comprised of OLAP browsers, reporting tools,
and other BI (Business Intelligence) applications and the like. The
analysis services component 2002 typically has an interface 2014
with the user interfaces 2012 via interfaces 2008 like XML/A
(eXtensible Markup Language/Analysis) and MDX (Multidimensional
Exchange Language) and the like. The analysis services component
2002 is comprised of a UDM (Unified Dimensional Model) component
2004 and a cache 2006. In this example, the present invention is
employed within the analysis services component 2002 via the UDM
component 2004 and the cache 2006. The UDM component can
proactively access the cache 2006 and/or the data directly.
[0086] What has been described above includes examples of the
present invention. It is, of course, not possible to describe every
conceivable combination of components or methodologies for purposes
of describing the present invention, but one of ordinary skill in
the art may recognize that many further combinations and
permutations of the present invention are possible. Accordingly,
the present invention is intended to embrace all such alterations,
modifications and variations that fall within the spirit and scope
of the appended claims. Furthermore, to the extent that the term
"includes" is used in either the detailed description or the
claims, such term is intended to be inclusive in a manner similar
to the term "comprising" as "comprising" is interpreted when
employed as a transitional word in a claim.
* * * * *