Abstract:
Methods, systems, and devices for data retention handling are described. In some data storage systems, data objects are stored in a non-relational database schema. The system may support configurable data retention policies for different tenants, users, or applications. For example, a data store may receive retention requests, where the retention requests may specify deletion or exportation actions to perform on records contained within data objects. The data store may determine retention rules based on these retention requests, and may periodically or aperiodically evaluate the rules to determine active actions to perform. To improve the efficiency of the system, the data store may aggregate the active actions (e.g., according to the dataset to perform the actions on), and may generate work items corresponding to the aggregate actions. A work processor may retrieve these work items and may efficiently perform the data retention actions on datasets stored in the data object store.
Abstract:
Disclosed are examples of systems, apparatus, methods and computer program products for creating custom platform objects for a multi-tenant non-relational database environment. A database system maintains a multi-tenant non-relational database associated with multiple enterprises and a number of records for each of the enterprises. The system also maintains a dynamic virtual table associated with a number of records. A request is received from one of the enterprises to define a custom data object within the database system, uniquely associated with an enterprise. The request is processed, and a custom object is generated based on the request. The custom object defines database columns corresponding to the data object and the enterprise. The virtual table is updated to include virtual columns corresponding to the database column definitions, and existing columns of a shared table in the non-relational database are updated to match the virtual columns. Access to the existing columns is then restricted for enterprises not uniquely associated with the custom data object.
Abstract:
Disclosed are examples of systems, apparatus, methods and computer program products for providing a web application builder framework in a database system. A database system maintains a multi-tenant non-relational database associated with a number of enterprises, a number of records, and a number of data objects for each of the enterprises. A dynamic virtual table is maintained as well, associated with the number of records and number of data objects. A user request is received to define a composite key for a data object. A metadata model is generated representing the data object, and a data definition script is generated. The dynamic virtual table is updated to include one or more virtual columns corresponding to the data definition script, and one or more columns of a shared table in the non-relational database are updated to match the virtual columns.
Abstract:
Techniques and structures for providing a multitenant environment having both a relational database and a non-relational database. A database query is received with at least one server computing device providing a multitenant environment having a relational database system and a non-relational database system, the database query in a format corresponding to the relational database system. The query is parsed with the at least one server computing device to find one or more components of the query directed to data stored in the non-relational database system. One or more components of the query directed to data stored in the non-relational database system are converted to one or more scans of the non-relational database system. Results from the query of the relational database system and results from the one or more scans of the non-relational database system are collected. The results from the query and the results of the one or more scans to a combined result are combined. The combined results are provided to a client entity.
Abstract:
Disclosed are examples of systems, apparatus, methods and computer program products for creating custom platform objects for a multi-tenant non-relational database environment. A database system maintains a multi-tenant non-relational database associated with multiple enterprises and a number of records for each of the enterprises. The system also maintains a dynamic virtual table associated with a number of records. A request is received from one of the enterprises to define a custom data object within the database system, uniquely associated with an enterprise. The request is processed, and a custom object is generated based on the request. The custom object defines database columns corresponding to the data object and the enterprise. The virtual table is updated to include virtual columns corresponding to the database column definitions, and existing columns of a shared table in the non-relational database are updated to match the virtual columns. Access to the existing columns is then restricted for enterprises not uniquely associated with the custom data object.
Abstract:
Systems and methods are provided for cleaning data in a customer relationship management system. A system receives a plurality of records from an on-demand system. The system identifies a record from the plurality of records that matches a stored record for a customer relationship management system. The system determines whether to update the stored record using the identified record. The system updates the stored record using the identified record in response to a determination to update the stored record using the identified record.
Abstract:
Disclosed are examples of systems, apparatus, methods and computer program products for providing run-time querying of multi-tenant non-relational database objects. A database system maintains a multi-tenant non-relational database associated with a number of enterprises, a number of records, and a number of data objects for each of the enterprises, each data object having at least one composite key field. A request is received during runtime to query data related to a data object, and the system determines that the data object is defined to be used in associated with a non-relational database. The system then retrieves a metadata model of the data object, determines that the request includes at least one composite key field for the data object, and processes the requery to query data in synchronous fashion. Finally, a query response is provided to the user.
Abstract:
Systems and techniques for managing data in a relational database environment and a non-relational database environment. Data in the relational database environment that is static and to be maintained beyond a preselected threshold length of time is identified. The data is copied from the relational database and stored in the data the non-relational database. Access to the data is provided from the non-relational database via a user interface that accesses both the relational database and the non-relational database.
Abstract:
Systems, methods, and computer-readable media for asynchronous (async) querying are described. In embodiments, an application server obtains a user-issued query comprising one or more query components; identifies data space characteristics of a data storage space associated with a user that issued the user-issued query; and analyzes the one or more query components to obtain performance data. The performance data is indicative of resource consumption for execution of the user-issued query. The application server selects a query execution engine to execute the user-issued query from among a plurality of query execution engines, and provides the user-issued query to the selected query execution engine. The selection is based on the data space characteristics and the performance data. Other embodiments may be described and/or claimed.
Abstract:
Techniques and systems for completing a database query. A time to complete a synchronous query in response to receiving an original database query is estimated by a database management system provided by one or more computing devices. A synchronous database query corresponding to the original database query is performed with the database management system if the estimated time to complete the synchronous query is less than a pre-selected threshold time. One or more asynchronous queries corresponding to the original database query are performed with the database management system if the estimated time to complete the synchronous query is greater than the pre-selected threshold time. A result, whether from a synchronous query or one or more asynchronous queries, is stored in an object within a non-relational database system.