Salesforce Com, Inc.

Salesforce, Inc.

Scott Hansma

Steven Tamm

Simon Y Wong

Eric David Bezar

David Brooks

Benji Jasik

Douglas Eliot Chasman

Adam Gross

Lewis Wiley Tucker

Timothy Mason

Tien Tzuo

Craig David Weissman

Scott William Yancey

Jesse Yarbro Collins

Kevin Oliver

Pallav Kothari

Paul Nakada

Jeanine Walters

Alan Arbizu

Ronald Yang

Lars Hofhansl

Karthik Rajan

Ian Varley

Nathan Jensen-Horne

Andrey Dmitriyevich Gusev

Paul Burstein

Simon Zak Fell

Benjamin Busjaeger

Sridevi Gopala Krishnan

Michael Sgroi

Ryan Brainard

Deepa Gupta

Gary J Baker

Steve Fisher

Xuerong Tang

Jiahan Jiang

Christopher Wilson Kifuthu

Andrey Gusev

Lee Horner

In accordance with embodiments, there are provided mechanisms and methods for creating, exporting, viewing and testing, and importing custom applications in a multitenant database environment. These mechanisms and methods can enable embodiments to provide a vehicle for sharing applications across organizational boundaries. The ability to share applications across organizational boundaries can enable tenants in a multi-tenant database system, for example, to easily and efficiently import and export, and thus share, applications with other tenants in the multi-tenant environment.

Systems and methods for exporting, publishing, browsing and installing on-demand applications in a multi-tenant database environment

Methods and systems for making effective use of system resources. A plurality of requests for access to a resource are received. Each request has an associated group of features. The group of features for each request is analyzed to collect observations about the plurality of requests. A function to predict an outcome of a subsequent request is generated based on the observations. Resources are allocated to service the subsequent request based on the function.

Methods and systems for making effective use of system resources

A multi-master replication system is disclosed. The multi-master replication system allows a large set of peer instances to collaboratively replicate data to each other. According to an example, a change detection thread running on a first server associated with a first instance of multiple instances of a replicated database monitors for changes to any of multiple records within one or more shared tables of the replicated database. Responsive to detection of a change to a record, an item is stored by the change detection thread onto a queue containing information regarding the change. Groups of changes are packaged into multiple chunks, in which each chunk (i) corresponds to a discrete unit of progress for both change detection and transport; (ii) is associated with multiple changed records; (iii) contains metadata about the multiple changed records; and (iv) does not contain data from the one or more shared tables.

Multi-master data replication in a distributed multi-tenant system

Techniques for database multiplexing. Within a group of two or more logical databases, each having a plurality of database nodes, the group of logical databases being part of a multitenant database environment that stores data for multiple client entities each identified by a tenant identifier (ID) having one of one or more users associated with the tenant ID, wherein users of each of multiple client entities can only access data identified by a tenant ID associated with the respective client entity, and wherein the multitenant database is a hosted database provided by an entity separate from the client entities, and provides on-demand database service to the client entities, the tenant ID is used to determine a mapping between the tenant ID and one of the plurality of logical databases. A plurality of application servers coupled with two or more of the logical databases are used to service requests received from remote client device using the mapping to access a selected logical database corresponding to the tenant ID.

Database multiplexing architectures

In various embodiments, a computer system implements a service that stores a plurality of database templates that define data types supported for a non-relational database accessible to a plurality of applications. The service receives, from a developer of an application, a selection of one of the plurality of database templates to be used by the application. In response to the selection, the service issues a set of data definition language (DDL) instructions to provision the non-relational database with a schema that implements a particular data type defined by the selected template. Requests from the application to manipulate a value of the particular data type stored in the non-relational database system are serviced. In some embodiments, the servicing includes identifying a set of data manipulation language (DML) instructions to be executed and issuing the set of DML, instructions to the non-relational database.

Data templates associated with non-relational database systems

Search systems and methods for searching structured data and enhancing the relevancy of search results provided to a requesting user or application. Enhanced search results are provided by searching a cache of a user's most recently used items to eliminate or reduce search indexing latency. Also, more relevant search results are provided by re-ranking results based on use history, data security models and/or hierarchical user role models. Further, enhanced search results are provided by including user information in the search index.

Methods and systems for optimizing text searches over structured data in a multi-tenant environment

Systems and methods for installing and upgrading application packages to an application platform. Application packages may be uploaded to a directory by developing users (developers) for installation by subscribing users (subscribers). Alternatively, a developer may send identification information to a subscribing user to allow that user to access and install that application package created by the developer. Application packages may also be upgraded. If a developer changes the original source package, a subscriber can choose to pull into their organization the change(s) made by the publisher while preserving any data rows the subscriber had created since first importing the package.

Methods and systems for upgrading and installing application packages to an application platform

A system may store data in a shared table of a distributed database based on generating a tenant-specific partition key. The system may receive a message from a first tenant that indicates certain data to be written to or retrieved from a shared table (e.g., shared between multiple tenants). The system may then identify a data key, a tenant identifier, and a data type identifier associated with the data and generate a partition key that includes the data key, tenant identifier, and data type identifier. The system may then transmit the partition key to the shared table, and data may be written to or retrieved from the table based on the tenant-specific partition key.

Multi-tenant tables of a distributed database

A computer implemented method of developing computer applications, the method comprising providing to multiple users access, over a network, to information on a data center, with a subgroup of the users having access to a sub-portion of the information that is different from the sub-portion accessible by the remaining tenants of the subgroup; and communicating wide the data center over the network employing a computer system associated with a user of the sub-group to establish application functionality with the sub-portion that may be accessed, over the network, by additional parties authorized by the user. Also disclosed is a machine-readable medium and a data center, both of which facilitate carrying-out the steps of the method.

Application directory for a multi-user computer system environment

In an example, a database system may be configured to validate relational database instructions using a plurality of validators. In some examples, validation may be pre-production for relational database instructions based on simulated user inputs and/or file, such as plan files (e.g., PL/SQL (procedural language/structured query language) files). In some examples, validation may be in production for relational database instructions based on system views of a database engine.

Relational database instruction validation

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San Francisco, CA, United States of America

Scott Hansma