A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.
The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also be inventions.
In conventional database systems, users access their data resources in one logical database. A user of such a conventional system typically retrieves data from and stores data on the system using the user's own systems. A user system might remotely access one of a plurality of server systems that might in turn access the database system. Data retrieval from the system might include the issuance of a query from the user system to the database system. The database system might process the request for information received in the query and send to the user system information relevant to the request.
During this process, data may be transformed through various formats and protocols in the various tiers of the system: from Extensible Markup Language (XML) or Hypertext Markup Language (HTML) text to JAVA® Objects to relational data structures and back again. In particular the latter transition is known in the industry as the O/R (object/relational) boundary and is the subject of a great amount of developer effort and 3rd party development tool support. Transitions across the object-to-relational data structure boundary can be difficult because the representation one uses typically in a procedural language like the JAVA® programming language, for a complex object, is typically quite different from the optimal manner in which that data is stored and indexed in a relational database, which is the dominant location for enterprise data of this sort.
A user of a relational database management systems (RDBMS) can implement a user interface (UI) using 3rd party programming tools, which automate transactions across the O/R boundary. These programming tools can include a programming language, such as Apex Code by salesforce.com of San Francisco, Calif., which is integrated with configurations or configured behaviors to help users graphically configure how their systems operate. These tools can be used effectively in on-demand and/or multi-tenant database systems.
Such tools allow fields in some objects to be automatically dependent upon other fields in other objects. For example, a summation field of a container object sums the values of fields of other objects. Some field values are automatically enforced based on other field values. An administrator may set the enforcement code. For example, it may not make sense to have a sales opportunity in which the forecast category is “committed” when it is still in the “negotiation” stage. If the opportunity is entered this way, then the administrator's rules can change the forecast category to one which makes sense, such as “not committed.”
The tools also allow for users to program custom code or set configurations. The custom code may incorporate dependencies, such that the field of one object depends upon a value of a field in another object.
Sometimes, a user's custom code may execute before a dependency has been updated. This can cause problems in that the wrong data or an unknown state can be introduced into the system. The end result is that a seemingly straightforward change can corrupt otherwise useful data in the database.
Embodiments in accordance with the present disclosure relate to synchronizing field values before saving a transaction to a database. This synchronization includes detecting a change in a field of one temporary object representing a portion of a database and updating field values in other like objects based on that change prior to committing any field to storage in the database. Updating, or field synchronization, can occur between each step of a multistep save process for a database and/or can occur before or after executing a trigger or event, a workflow, or a spanning formula.
One embodiment relates to accepting a change to a first field in a first transient data object, the first transient data object temporarily representing a portion of a database, determining a dependency exists of a second field in a second transient data object upon the first field in the first transient data object, the second transient data object temporarily representing a portion of the database, and updating the second field in the second transient data object using the change to the first field in the first transient data object and the dependency. After updating, user-supplied code is executed which references the second field to determine a value for a third field, and then the changed values in the first, second, and third fields are committed to the database in a save operation. Thus, the user-supplied code executes on updated or synchronized transient data object fields.
Other embodiments relate to systems and machine-readable tangible storage media which employ or store instructions for the methods described above.
Systems and methods are provided for synchronizing field values in transient data objects, such as JAVA® objects, before saving a transaction to a database. This allows a fully updated transaction, with all dependencies updated, to be saved to a database while avoiding multiple saves. Saving a transaction to a database can be slow, in that it is processor, cache, and bandwidth intensive.
A change to a field in a temporary or other transient object can be received or otherwise accepted, and a dependency on the field from another field in a second transient data object can be looked up, deciphered, searched, calculated, or otherwise determined. The field in the second transient data object is then updated based upon, calculated from, or otherwise using the change to the field in the first data object and the dependency. After the update, customer or other user-supplied code that references the field in the second data object is executed to determine a third field. The third field may be in the first or second transient data objects, or in a separate third data object. The changes, including the first change and those caused by the dependencies, are then all committed to the database. This can be especially useful in multi-tenant databases in which the physical database and resources are shared while data and transactions from individual customers are kept separate.
As used herein, the term multi-tenant database system refers to those systems in which various elements of hardware and software of the database system may be shared by one or more customers. For example, a given application server may simultaneously process requests for a great number of customers, and a given database table may store rows for a potentially much greater number of customers. As used herein, the term query plan refers to a set of steps used to access information in a database system.
System Overview
Environment 10 is an environment in which an on-demand database service exists. User system 12 may be any machine or system that is used by a user to access a database user system. For example, any of user systems 12 can be a handheld computing device, a mobile phone, a laptop computer, a work station, and/or a network of computing devices. As illustrated in
An on-demand database service, such as system 16, is a database system that is made available to outside users that do not need to necessarily be concerned with building and/or maintaining the database system, but instead may be available for their use when the users need the database system (e.g., on the demand of the users). Some on-demand database services may store information from one or more tenants stored into tables of a common database image to form a multi-tenant database system (MTS). Accordingly, “on-demand database service 16” and “system 16” will be used interchangeably herein. A database image may include one or more database objects. A relational database management system (RDMS) or the equivalent may execute storage and retrieval of information against the database object(s). Application platform 18 may be a framework that allows the applications of system 16 to run, such as the hardware and/or software, e.g., the operating system. In an embodiment, on-demand database service 16 may include an application platform 18 that enables creation, managing and executing one or more applications developed by the provider of the on-demand database service, users accessing the on-demand database service via user systems 12, or third party application developers accessing the on-demand database service via user systems 12.
The users of user systems 12 may differ in their respective capacities, and the capacity of a particular user system 12 might be entirely determined by permissions (permission levels) for the current user. For example, where a salesperson is using a particular user system 12 to interact with system 16, that user system has the capacities allotted to that salesperson. However, while an administrator is using that user system to interact with system 16, that user system has the capacities allotted to that administrator. In systems with a hierarchical role model, users at one permission level may have access to applications, data, and database information accessible by a lower permission level user, but may not have access to certain applications, database information, and data accessible by a user at a higher permission level. Thus, different users will have different capabilities with regard to accessing and modifying application and database information, depending on a user's security or permission level.
Network 14 is any network or combination of networks of devices that communicate with one another. For example, network 14 can be any one or any combination of a LAN (local area network), WAN (wide area network), telephone network, wireless network, point-to-point network, star network, token ring network, hub network, or other appropriate configuration. As the most common type of computer network in current use is a TCP/IP (Transfer Control Protocol and Internet Protocol) network, such as the global internetwork of networks often referred to as the “Internet” with a capital “I,” that network will be used in many of the examples herein. However, it should be understood that the networks that the present invention might use are not so limited, although TCP/IP is a frequently implemented protocol.
User systems 12 might communicate with system 16 using TCP/IP and, at a higher network level, use other common Internet protocols to communicate, such as HTTP, FTP, AFS, WAP, etc. In an example where HTTP is used, user system 12 might include an HTTP client commonly referred to as a “browser” for sending and receiving HTTP messages to and from an HTTP server at system 16. Such an HTTP server might be implemented as the sole network interface between system 16 and network 14, but other techniques might be used as well or instead. In some implementations, the interface between system 16 and network 14 includes load sharing functionality, such as round-robin HTTP request distributors to balance loads and distribute incoming HTTP requests evenly over a plurality of servers. At least as for the users that are accessing that server, each of the plurality of servers has access to the MTS' data; however, other alternative configurations may be used instead.
In one embodiment, system 16, shown in
One arrangement for elements of system 16 is shown in
Several elements in the system shown in
According to one embodiment, each user system 12 and all of its components are operator configurable using applications, such as a browser, including computer code run using a central processing unit such as an Intel Pentium® processor or the like. Similarly, system 16 (and additional instances of an MTS, where more than one is present) and all of their components might be operator configurable using application(s) including computer code to run using a central processing unit such as processor system 17, which may include an Intel Pentium® processor or the like, and/or multiple processor units. A computer program product embodiment includes a machine-readable storage medium (media) having instructions stored thereon/in which can be used to program a computer to perform any of the processes of the embodiments described herein. Computer code for operating and configuring system 16 to intercommunicate and to process webpages, applications and other data and media content as described herein are preferably downloaded and stored on a hard disk, but the entire program code, or portions thereof, may also be stored in any other volatile or non-volatile memory medium or device as is well known, such as a ROM or RAM, or provided on any media capable of storing program code, such as any type of rotating media including floppy disks, optical discs, digital versatile disk (DVD), compact disk (CD), microdrive, and magneto-optical disks, and magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data. Additionally, the entire program code, or portions thereof, may be transmitted and downloaded from a software source over a transmission medium, e.g., over the Internet, or from another server, as is well known, or transmitted over any other conventional network connection as is well known (e.g., extranet, VPN, LAN, etc.) using any communication medium and protocols (e.g., TCP/IP, HTTP, HTTPS, Ethernet, etc.) as are well known. It will also be appreciated that computer code for implementing embodiments of the present invention can be implemented in any programming language that can be executed on a client system and/or server or server system such as, for example, C, C++, HTML, any other markup language, Java™, JavaScript, ActiveX, any other scripting language, such as VBScript, and many other programming languages as are well known may be used. (Java™ is a trademark of Sun Microsystems, Inc.).
According to one embodiment, each system 16 is configured to provide webpages, forms, applications, data and media content to user (client) systems 12 to support the access by user systems 12 as tenants of system 16. As such, system 16 provides security mechanisms to keep each tenant's data separate unless the data is shared. If more than one MTS is used, they may be located in close proximity to one another (e.g., in a server farm located in a single building or campus), or they may be distributed at locations remote from one another (e.g., one or more servers located in city A and one or more servers located in city B). As used herein, each MTS could include one or more logically and/or physically connected servers distributed locally or across one or more geographic locations. Additionally, the term “server” is meant to include a computer system, including processing hardware and process space(s), and an associated storage system and database application (e.g., OODBMS or RDBMS) as is well known in the art. It should also be understood that “server system” and “server” are often used interchangeably herein. Similarly, the database object described herein can be implemented as single databases, a distributed database, a collection of distributed databases, a database with redundant online or offline backups or other redundancies, etc., and might include a distributed database or storage network and associated processing intelligence.
User system 12, network 14, system 16, tenant data storage 22, and system data storage 24 were discussed above in
Application platform 18 includes an application setup mechanism 38 that supports application developers' creation and management of applications, which may be saved as metadata into tenant data storage 22 by save routines 36 for execution by subscribers as one or more tenant process spaces 104 managed by tenant management process 110 for example. Invocations to such applications may be coded using PL/SOQL 34 that provides a programming language style interface extension to API 32. A detailed description of some PL/SOQL language embodiments is discussed in commonly owned co-pending U.S. Provisional Patent Application 60/828,192 entitled, PROGRAMMING LANGUAGE METHOD AND SYSTEM FOR EXTENDING APIS TO EXECUTE IN CONJUNCTION WITH DATABASE APIS, by Craig Weissman, filed Oct. 4, 2006, which is incorporated in its entirety herein for all purposes. Invocations to applications may be detected by one or more system processes, which manages retrieving application metadata 116 for the subscriber making the invocation and executing the metadata as an application in a virtual machine.
Each application server 100 may be communicably coupled to database systems, e.g., having access to system data 25 and tenant data 23, via a different network connection. For example, one application server 1001 might be coupled via the network 14 (e.g., the Internet), another application server 100N-1 might be coupled via a direct network link, and another application server 100N might be coupled by yet a different network connection. Transfer Control Protocol and Internet Protocol (TCP/IP) are typical protocols for communicating between application servers 100 and the database system. However, it will be apparent to one skilled in the art that other transport protocols may be used to optimize the system depending on the network interconnect used.
In certain embodiments, each application server 100 is configured to handle requests for any user associated with any organization that is a tenant. Because it is desirable to be able to add and remove application servers from the server pool at any time for any reason, there is preferably no server affinity for a user and/or organization to a specific application server 100. In one embodiment, therefore, an interface system implementing a load balancing function (e.g., an F5 Big-IP load balancer) is communicably coupled between the application servers 100 and the user systems 12 to distribute requests to the application servers 100. In one embodiment, the load balancer uses a least connections algorithm to route user requests to the application servers 100. Other examples of load balancing algorithms, such as round robin and observed response time, also can be used. For example, in certain embodiments, three consecutive requests from the same user could hit three different application servers 100, and three requests from different users could hit the same application server 100. In this manner, system 16 is multi-tenant, wherein system 16 handles storage of, and access to, different objects, data and applications across disparate users and organizations.
As an example of storage, one tenant might be a company that employs a sales force where each salesperson uses system 16 to manage their sales process. Thus, a user might maintain contact data, leads data, customer follow-up data, performance data, goals and progress data, etc., all applicable to that user's personal sales process (e.g., in tenant data storage 22). In an example of a MTS arrangement, since all of the data and the applications to access, view, modify, report, transmit, calculate, etc., can be maintained and accessed by a user system having nothing more than network access, the user can manage his or her sales efforts and cycles from any of many different user systems. For example, if a salesperson is visiting a customer and the customer has Internet access in their lobby, the salesperson can obtain critical updates as to that customer while waiting for the customer to arrive in the lobby.
While each user's data might be separate from other users' data regardless of the employers of each user, some data might be organization-wide data shared or accessible by a plurality of users or all of the users for a given organization that is a tenant. Thus, there might be some data structures managed by system 16 that are allocated at the tenant level while other data structures might be managed at the user level. Because an MTS might support multiple tenants including possible competitors, the MTS should have security protocols that keep data, applications, and application use separate. Also, because many tenants may opt for access to an MTS rather than maintain their own system, redundancy, up-time, and backup are additional functions that may be implemented in the MTS. In addition to user-specific data and tenant-specific data, system 16 might also maintain system level data usable by multiple tenants or other data. Such system level data might include industry reports, news, postings, and the like that are sharable among tenants.
In certain embodiments, user systems 12 (which may be client systems) communicate with application servers 100 to request and update system-level and tenant-level data from system 16 that may require sending one or more queries to tenant data storage 22 and/or system data storage 24. System 16 (e.g., an application server 100 in system 16) automatically generates one or more SQL statements (e.g., one or more SQL queries) that are designed to access the desired information. System data storage 24 may generate query plans to access the requested data from the database.
Each database can generally be viewed as a collection of objects, such as a set of logical tables, containing data fitted into predefined categories. A “table” is one representation of a data object, and may be used herein to simplify the conceptual description of objects and custom objects according to the present invention. It should be understood that “table” and “object” may be used interchangeably herein. Each table generally contains one or more data categories logically arranged as columns or fields in a viewable schema. Each row or record of a table contains an instance of data for each category defined by the fields. For example, a CRM database may include a table that describes a customer with fields for basic contact information such as name, address, phone number, fax number, etc. Another table might describe a purchase order, including fields for information such as customer, product, sale price, date, etc. In some multi-tenant database systems, standard entity tables might be provided for use by all tenants. For CRM database applications, such standard entities might include tables for Account, Contact, Lead, and Opportunity data, each containing pre-defined fields. It should be understood that the word “entity” may also be used interchangeably herein with “object” and “table”.
In some multi-tenant database systems, tenants may be allowed to create and store custom objects, or they may be allowed to customize standard entities or objects, for example by creating custom fields for standard objects, including custom index fields. U.S. patent application Ser. No. 10/817,161, filed Apr. 2, 2004, entitled “CUSTOM ENTITIES AND FIELDS IN A MULTI-TENANT DATABASE SYSTEM”, and which is hereby incorporated herein by reference, teaches systems and methods for creating custom objects as well as customizing standard objects in a multi-tenant database system. In certain embodiments, for example, all custom entity data rows are stored in a single multi-tenant physical table, which may contain multiple logical tables per organization. It is transparent to customers that their multiple “tables” are in fact stored in one large table or that their data may be stored in the same table as the data of other customers.
A field can have a dependency from another field. For example, at an early stage of negotiation, the forecast category can be forced to equal “not committed,” because it makes sense that nothing would be committed at an early stage of negotiation. Also, at an early stage of negotiation, the probability that the business opportunity will come through can be held to a percentage below 50%. This may make sense depending on the business model and experience of the salespeople. Other fields may depend on yet other fields by way of a mathematical operation or other calculation. For example, a rollup summary field 312 adds the values in amount field 306. There is a dependency of rollup summary field 312 on all of the fields which it sums.
Table 300 is but one representation of the fields and data in a portion of a database. Further subdividing of objects can be used to handle transactions to the database. For example, each row of table 300 can be one object, and other fields, such as rollup summary field 312, can be yet another object, such as a ‘container object.’
Field Synchronization Overview
It is desirable to ensure that certain fields in objects, for example objects represented by the class EntityObject 402, remain in sync with each other. Fields within instantiations of EntityObjects 402 can be defaulted from another between objects, or the fields should be evaluated together and their individual values set appropriately. To accomplish this, it is desirable to prevent setting such fields on the objects represented by EntityObject 402 one by one, but rather to collect the fields and set them on the EntityObject all together.
In the exemplary embodiment, DefaultValueProvider 404 is an instance variable in EntityObject 402. The instantiation of DefaultValueProvider 404 handles collecting the field values, defaulting them and setting the values on the corresponding EntityObject. Each EntityObject type that needs this behavior should override the doDefaulting( ) method 406 in the DefaultValueProvider class 404 and provide specific implementation details.
DependentFieldValueContainer 408 is a data structure class in which instantiations of objects hold the fields and their values, until they are defaulted.
DependentFieldInsertObject 410 objects hold the value(s) to be inserted in the fields. The objects can also hold the context that the values were set. For example, the attribute FieldInsertContext attribute 412 can be set to either Provided or Defaulted.
EntityObject Changes
1. fieldChangeHook_preChange
In one embodiment this hook is modified to check in step 502 whether a particular field being set on the EntityObject is a Dependent or a Controlling Field. If either a Dependent or a Controlling Field, then the DependentFieldValueProviderinsert( )method is called in step 504 and the value will be held in the DependentFieldValueContainer in step 506 until the method saveHook_HandleDefaultValues( ) is called.
2. EntityObject save( )
Transient Data Objects
Data objects 804, 806, and 808 have at least one field 810, such as Field1 in first transient data object 804, Field2 in second transient data object 806, and Field3 in third transient data object 808. Field1 includes attributes, such as dependency attribute 816 and value 818. Dependency attribute 816 is empty or null, indicating that a dependency does not exist. That is, Field1 does not depend on another field.
Referring to a field without specifying the attribute generally is a reference to the value within the field.
Field2 includes dependency attribute 820, shown as the formula, “=OBJ1!Field1+5”. The dependency, shown as dependency 828, is to the value in Field1 in OBJ1. The equation adds 5 to the referenced value. Thus, the value for Field2 is “15”, which is shown in value attribute 822. Because the dependency attribute is populated, dependency 820 does exist.
Field3 includes dependency attribute 824, shown as the formula, “=OBJ2!Field2*10”. The dependency, shown as dependency 830, is to the value in Field2 in OBJ2. The equation multiplies the referenced value by 10. Thus, the value for Field3 is “150”, which is shown in value attribute 826.
When a change is made to the value in Field1 of the first transient data object, one can determine whether a dependency exists by looking at dependency attribute 820. If it is empty, then there is no dependency. If it is populated with a formula that refers to another field, then a dependency does exist. After determining that a dependency does exist, such as in step 502 of
After updating, user-supplied code such as “=OBJ2!Field2*10” in third transient data object 808 is run or otherwise executed to determine value 826. User-supplied code can include code in an event or a trigger, a workflow, or a spanning formula. After all fields are updated or synchronized, the changed values in the fields of the objects are committed or saved to database 802.
While the invention has been described by way of example and in terms of the specific embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. To the contrary, it is intended to cover various modifications and similar arrangements as would be apparent to those skilled in the art. Therefore, the scope of the appended claims should be accorded the broadest interpretation so as to encompass all such modifications and similar arrangements.
This application claims the benefit of U.S. Provisional Application No. 61/096,644, filed Sep. 12, 2008, hereby incorporated by reference in its entirety for all purposes.
Number | Name | Date | Kind |
---|---|---|---|
5577188 | Zhu | Nov 1996 | A |
5608872 | Schwartz et al. | Mar 1997 | A |
5649104 | Carleton et al. | Jul 1997 | A |
5715450 | Ambrose et al. | Feb 1998 | A |
5761419 | Schwartz et al. | Jun 1998 | A |
5799305 | Bortvedt et al. | Aug 1998 | A |
5819038 | Carleton et al. | Oct 1998 | A |
5821937 | Tonelli et al. | Oct 1998 | A |
5831610 | Tonelli et al. | Nov 1998 | A |
5873096 | Lim et al. | Feb 1999 | A |
5918159 | Fomukong et al. | Jun 1999 | A |
5963953 | Cram et al. | Oct 1999 | A |
6092083 | Brodersen et al. | Jul 2000 | A |
6169534 | Raffel et al. | Jan 2001 | B1 |
6178425 | Brodersen et al. | Jan 2001 | B1 |
6189011 | Lim et al. | Feb 2001 | B1 |
6216135 | Brodersen et al. | Apr 2001 | B1 |
6233617 | Rothwein et al. | May 2001 | B1 |
6266669 | Brodersen et al. | Jul 2001 | B1 |
6295530 | Ritchie et al. | Sep 2001 | B1 |
6324568 | Diec et al. | Nov 2001 | B1 |
6324693 | Brodersen et al. | Nov 2001 | B1 |
6336137 | Lee et al. | Jan 2002 | B1 |
D454139 | Feldcamp et al. | Mar 2002 | S |
6367077 | Brodersen et al. | Apr 2002 | B1 |
6393605 | Loomans | May 2002 | B1 |
6405220 | Brodersen et al. | Jun 2002 | B1 |
6434550 | Warner et al. | Aug 2002 | B1 |
6446089 | Brodersen et al. | Sep 2002 | B1 |
6449622 | LaRue et al. | Sep 2002 | B1 |
6535909 | Rust | Mar 2003 | B1 |
6549908 | Loomans | Apr 2003 | B1 |
6553563 | Ambrose et al. | Apr 2003 | B2 |
6560461 | Fomukong et al. | May 2003 | B1 |
6574635 | Stauber et al. | Jun 2003 | B2 |
6577726 | Huang et al. | Jun 2003 | B1 |
6601087 | Zhu et al. | Jul 2003 | B1 |
6604117 | Lim et al. | Aug 2003 | B2 |
6604128 | Diec | Aug 2003 | B2 |
6609150 | Lee et al. | Aug 2003 | B2 |
6621834 | Scherpbier et al. | Sep 2003 | B1 |
6654032 | Zhu et al. | Nov 2003 | B1 |
6665648 | Brodersen et al. | Dec 2003 | B2 |
6665655 | Warner et al. | Dec 2003 | B1 |
6684438 | Brodersen et al. | Feb 2004 | B2 |
6711565 | Subramaniam et al. | Mar 2004 | B1 |
6724399 | Katchour et al. | Apr 2004 | B1 |
6728702 | Subramaniam et al. | Apr 2004 | B1 |
6728960 | Loomans et al. | Apr 2004 | B1 |
6732095 | Warshavsky et al. | May 2004 | B1 |
6732100 | Brodersen et al. | May 2004 | B1 |
6732111 | Brodersen et al. | May 2004 | B2 |
6754681 | Brodersen et al. | Jun 2004 | B2 |
6763351 | Subramaniam et al. | Jul 2004 | B1 |
6763501 | Zhu et al. | Jul 2004 | B1 |
6768904 | Kim | Jul 2004 | B2 |
6782383 | Subramaniam et al. | Aug 2004 | B2 |
6804330 | Jones et al. | Oct 2004 | B1 |
6826565 | Ritchie et al. | Nov 2004 | B2 |
6826582 | Chatterjee et al. | Nov 2004 | B1 |
6826745 | Coker | Nov 2004 | B2 |
6829655 | Huang et al. | Dec 2004 | B1 |
6842748 | Warner et al. | Jan 2005 | B1 |
6850895 | Brodersen et al. | Feb 2005 | B2 |
6850949 | Warner et al. | Feb 2005 | B2 |
7089293 | Grosner et al. | Aug 2006 | B2 |
7340411 | Cook | Mar 2008 | B2 |
7620655 | Larsson et al. | Nov 2009 | B2 |
7698160 | Beaven et al. | Apr 2010 | B2 |
8082301 | Ahlgren et al. | Dec 2011 | B2 |
8095413 | Beaven | Jan 2012 | B1 |
8095594 | Beaven et al. | Jan 2012 | B2 |
8275836 | Beaven et al. | Sep 2012 | B2 |
20010044791 | Richter et al. | Nov 2001 | A1 |
20020072951 | Lee et al. | Jun 2002 | A1 |
20020082892 | Raffel | Jun 2002 | A1 |
20020129352 | Brodersen et al. | Sep 2002 | A1 |
20020140731 | Subramaniam et al. | Oct 2002 | A1 |
20020143997 | Huang et al. | Oct 2002 | A1 |
20020156798 | Larue et al. | Oct 2002 | A1 |
20020162090 | Parnell et al. | Oct 2002 | A1 |
20020165742 | Robins | Nov 2002 | A1 |
20030004971 | Gong | Jan 2003 | A1 |
20030018705 | Chen et al. | Jan 2003 | A1 |
20030018830 | Chen et al. | Jan 2003 | A1 |
20030066031 | Laane et al. | Apr 2003 | A1 |
20030066032 | Ramachandran et al. | Apr 2003 | A1 |
20030069936 | Warner et al. | Apr 2003 | A1 |
20030070000 | Coker et al. | Apr 2003 | A1 |
20030070004 | Mukundan et al. | Apr 2003 | A1 |
20030070005 | Mukundan et al. | Apr 2003 | A1 |
20030074418 | Coker | Apr 2003 | A1 |
20030120675 | Stauber et al. | Jun 2003 | A1 |
20030151633 | George et al. | Aug 2003 | A1 |
20030159136 | Huang et al. | Aug 2003 | A1 |
20030187921 | Diec et al. | Oct 2003 | A1 |
20030189600 | Gune et al. | Oct 2003 | A1 |
20030204427 | Gune et al. | Oct 2003 | A1 |
20030206192 | Chen et al. | Nov 2003 | A1 |
20030225730 | Warner et al. | Dec 2003 | A1 |
20040001092 | Rothwein et al. | Jan 2004 | A1 |
20040010489 | Rio et al. | Jan 2004 | A1 |
20040015981 | Coker et al. | Jan 2004 | A1 |
20040027388 | Berg et al. | Feb 2004 | A1 |
20040128001 | Levin et al. | Jul 2004 | A1 |
20040186860 | Lee et al. | Sep 2004 | A1 |
20040193510 | Catahan et al. | Sep 2004 | A1 |
20040199489 | Barnes-Leon et al. | Oct 2004 | A1 |
20040199536 | Barnes-Leon et al. | Oct 2004 | A1 |
20040199543 | Braud et al. | Oct 2004 | A1 |
20040249854 | Barnes-Leon et al. | Dec 2004 | A1 |
20040260534 | Pak et al. | Dec 2004 | A1 |
20040260659 | Chan et al. | Dec 2004 | A1 |
20040268299 | Lei et al. | Dec 2004 | A1 |
20050050555 | Exley et al. | Mar 2005 | A1 |
20050091098 | Brodersen et al. | Apr 2005 | A1 |
20050223022 | Weissman et al. | Oct 2005 | A1 |
Entry |
---|
C. Mohan, “Aries: a transaction recovery method supporting fine-granularity locking and partial rollbacks using write-ahead logging”, ACM Transactions on Database Systems (TODS), vol. 17 Issue 1, Mar. 1992, pp. 94-162. |
Number | Date | Country | |
---|---|---|---|
20100070480 A1 | Mar 2010 | US |
Number | Date | Country | |
---|---|---|---|
61096644 | Sep 2008 | US |