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:
In accordance with embodiments, there are provided mechanisms and methods for facilitating evaluation of data types for dynamic lightweight objects in an on-demand services environment. In one embodiment and by way of example, a method includes uploading a data file having data at a first computing device in response to a request, and detecting data types relating to the data within the data file. The detecting includes scanning data rows and data columns of the data file. The method may further include classifying the detected data types into one or more categories, and creating one or more dynamic objects based on the one or more categories.
Abstract:
Disclosed are examples of systems, apparatus, methods and computer program products for deleting data of an object within a multi-tenant database. Described is a mechanism for performing operations such as an efficient delete operation by introducing a new delete operation (or method) that is configured to allow a data structure such as an object to identify one or more records to be deleted. In order to ensure that the operation is efficient, the mechanism may perform a validation of the values provided to the delete operation based on the type of data store used for storing the records. For example, the validation may ensure that the values provided to the method correspond to a composite primary key when records are stored in a non-relational data store. Upon a successful validation, an initial delete request may be translated to an appropriate delete operation for the underlying database.
Abstract:
Disclosed are examples of systems, apparatus, methods and computer program products for providing run-time querying of muli-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:
In accordance with embodiments, there are provided mechanisms and methods for facilitating evaluation of data types for dynamic lightweight objects in an on-demand services environment. In one embodiment and by way of example, a method includes uploading a data file having data at a first computing device in response to a request, and detecting data types relating to the data within the data file. The detecting includes scanning data rows and data columns of the data file. The method may further include classifying the detected data types into one or more categories, and creating one or more dynamic objects based on the one or more categories.
Abstract:
Systems, methods, and computer-readable media for asynchronous (async) querying are described. In embodiments, a system may convert a user-issued query into a distributed execution instruction set (DEIS), and issue the DEIS to data stores that may have various database structures. The system may obtain database objects from the data stores, and store a result set indicating the obtained database objects in a location specified by the user-issued query. The system may also provide mechanisms to allow users to view progress of their async query jobs and/or cancel ongoing async query jobs. Other embodiments may be described and/or claimed.
Abstract:
Disclosed are examples of systems, apparatus, methods and computer program products for deleting data of an object within a multi-tenant database. Described is a mechanism for performing operations such as an efficient delete operation by introducing a new delete operation (or method) that is configured to allow a data structure such as an object to identify one or more records to be deleted. In order to ensure that the operation is efficient, the mechanism may determine characteristics of a data store and determine whether the information provided within the data structure provides an efficient identification of the data to be deleted. Upon a successful validation, an initial delete request may be translated to an appropriate delete operation for the underlying database.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for facilitating evaluation of data types for dynamic lightweight objects in an on-demand services environment. In one embodiment and by way of example, a method includes uploading a data file having data at a first computing device in response to a request, and detecting data types relating to the data within the data file. The detecting includes scanning data rows and data columns of the data file. The method may further include classifying the detected data types into one or more categories, and creating one or more dynamic objects based on the one or more categories.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for facilitating conversion and correction of data types for dynamic lightweight objects via a user interface in an on-demand services environment. In one embodiment and by way of example, a method includes receiving a first data file at a first computing device, identifying data types in the first data file that correspond to dynamic custom objects associated with the first data file, and linking the data types to their corresponding dynamic custom objects.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for facilitating evaluation of data types for dynamic lightweight objects in an on-demand services environment. In one embodiment and by way of example, a method includes uploading a data file having data at a first computing device in response to a request, and detecting data types relating to the data within the data file. The detecting includes scanning data rows and data columns of the data file. The method may further include classifying the detected data types into one or more categories, and creating one or more dynamic objects based on the one or more categories.