Sap Se

Sap Ag

Vladislav Leonkev

Volker Sauermann

Arne Harren

Simon Lueders

Alexander Bunte

Jonathan Bregler

Andreas Kellner

Daniel Kuntze

Michael Schnaubelt

Le-Huan Stefan Tran

Michael Wintergerst

Cornelia Kinder

Christopher Schildt

Ralph Debusmann

Kai Morich

Oliver Rebholz

Andreas Thumfart

Andre Hildebrandt

Stefan A Baeuerle

Anil Kumar Goel

Meinolf Block

Klaus Kopecz

Juergen Bachmann

Otto Kuehn

Roger Killian-Kehr

Systems and methods are disclosed for connection multiplexing in a parallel processing environment. An example method includes requesting, responsive to a request to perform multiple database operations in a single transaction, a connection identifier for a physical connection to the database, providing the connection identifier to each of a plurality of workers, and performing the multiple database operations using the plurality of workers. Each worker may obtain a work item from a work queue, initiate a database request for the work item, and provide the database request to a database server. The database request represents one of the multiple database operations and includes the connection identifier. The database server may determine that the connection identifier corresponds to the physical connection, add the request to a connection queue associated with the physical connection, and execute requests from the connection queue against the database via the physical connection.

Connection multiplexing for a parallel processing environment

Parameter-based deployment control for database objects is provided, in which processes for deploying database artifacts into a database as database objects are implemented. Many different techniques may be used in executing such deployment processes, including whether and how to combine various deployment-related jobs, identify/record/assess/correct potential errors, govern or instruct artifact conversion operations, or generally manage available resources with respect to executing the deployment(s) efficiently. By providing for selectable parameter values that are executed in an efficient, e.g., hierarchical, manner, deployment procedures may be implemented in a highly efficient and customizable manner.

Parameter-based deployment control for deployment of database artifacts

A computer-implemented method for exporting a database container from a database includes exporting database container metadata including artifact definitions in the metadata along with the actual metadata content to a database management system, exporting the database container including the database objects deployed therein to the database management system. The exporting of the database container includes exporting dependencies and structures of the database objects deployed therein, but not the actual content of the database objects. In some instances, however, exporting of the database container can include exporting the actual content of the database objects in response to user request. The method further includes packing the exported database container metadata and the exported database container in an archive. The data in the archive can be unpacked in substantially reverse order to import the database container into another database.

Exporting and importing database containers

Systems and methods are disclosed for automatically detecting a connection status in an asynchronous processing request. An example method includes obtaining, at a processing client and responsive to a first request from a requesting client to perform a plurality of database operations in a single transaction, a connection identifier for a connection to a database on a database server, the connection to be used to execute the plurality database operations and storing the connection identifier in a row of a status table. In some implementations the existence of the row indicates the status of the connection is active. In some implementations the row includes a flag indicating the status. The method also includes providing the connection identifier to the requesting client, receiving a second request from the requesting client, the second request being for a status of the connection, determining the status using the status table.

Automatic status detection for an asynchronous processing request

A computer-implemented method for deploying a new artifact file in a database. The new artifact file provides specifications for one or more new run-time database objects to be created in the database by processing of the new artifact file by artifact-type specific conversion engines. The method includes assigning ownership of the one or more new run-time database objects to be created in the database to the new artifact file, and, when an existing database object in the database provided by another artifact file corresponds to a new run-time database object specified in the new artifact file, assigning ownership of the existing database object in the database to the new artifact file being deployed.

Ownership transfer of database artifacts between files

A database includes a run-time database container, which provides an isolated computing environment for a database object deployed therein. The database further includes a public synonym object outside the run-time database container in the database. The public synonym object is associated with the database object deployed inside the run-time database container and provides external access to the database object deployed inside the run-time database container independent of the location of the run-time database container.

External access to database container artifacts

Systems and methods deploy artifacts to a database in a self-organizing matter as a single transaction. An example method includes determining one or more root nodes in a dependency graph, the dependency graph including a node for each of the plurality of artifacts, each node having a respective dependency count, wherein the one or more root nodes have a respective dependency count of zero. The method also includes generating a work item for each of the root nodes and placing the work item in a work queue. In such a method, a plurality of workers can pop work items off the work queue in parallel and initiate deployment of the artifacts represented by the work items. Each worker of the plurality of workers can also reduce by one the dependency count of nodes in the dependency graph that are successor nodes of the root node deployed using the worker.

Self-organizing parallel deployment of database artifacts

Techniques for dynamically highlighting text in electronic documents are provided. In a first set of embodiments, a computing device can, upon presenting an electronic document to a user, receive a user selection of an entity associated with the document. The entity can represent a category of terms deemed relevant to the electronic document, where a term is a word or a combination of word(s) and/or punctuation(s) that have semantic significance. In response, the computing device can automatically highlight terms in the presented document that belong to the selected entity. In a second set of embodiments, the computing device can, upon presenting the electronic document to the user, receive a user selection of a word in the document. In response, the computing device can automatically highlight terms in the presented document that include the selected word, as well as other terms that are related to those terms.

Dynamic highlighting of text in electronic documents

A system, a method, and a computer program product for deployment of objects are disclosed. At least one configuration for deploying of at least one artifact during runtime of an application is defined. The configuration includes at least one dependency for the artifact. The configuration is applied to the artifact. The artifact is deployed based on the applied configuration during runtime of the application. The configuration can include at least one of the following: a default configuration for the artifact and an explicit configuration for the artifact.

User-configurable database artifacts

Systems and techniques for ordering deployment of artifacts to a database include collecting predecessor node information for nodes in a dependency graph. The dependency graph includes available edges connecting the nodes of the dependency graph, where each node in the dependency graph represents at least one artifact. A data structure contained within each of the nodes is populated with the predecessor node information. Successor node information is determined using the predecessor node information and an updated dependency graph is created by adding additional edges to the dependency graph using the predecessor node information in the data structure within each of the nodes and the successor node information. The artifacts are ordered for deployment to the database using the updated dependency graph.

Prioritized deployment of database artifacts

A system, a method, and a computer program product for deployment of objects are disclosed. Using a deployment infrastructure of a database system, a deployment container for deployment of at least one object at runtime of an application is generated. The container includes at least one artifact for the object and a container schema indicative of at least one dependency associated with the object. At least one deployment privilege is associated based on the container schema with the artifact for the object. The artifact of the deployment container is deployed based on the associated deployment schema during runtime of the application. The container can be an isolated container and an access privilege to an object can be requested based on a synonym for deployment purposes.

Database level containers

Systems and techniques for performing a simulated deployment to a database include generating a dependency graph of multiple artifacts contained in a container for deployment to a database and receiving an indication to perform a simulated deployment of the artifacts. In response to receiving the indication, the container is marked for simulated deployment. The artifacts are deployed to the database using the marked container and the generated dependency graph without committing the artifacts to the database. The deployed artifacts are rolled back such that no state changes are made to the database due to the simulated deployment.

Growing community of inventors

Walldorf, Germany

Vladislav Leonkev