Sap Se

Sap Ag

Martin Strenge

Boris Gruschko

Christian Mohr

Florian Foebel

Bjoern Friedmann

Franz Faerber

Meinolf Block

Sascha Zorn

Christoph Weyerhaeuser

Steffen Geissinger

Helmut Prestel

Reiner Singer

Sebastian Seifert

Gerd G Forstmann

Rolf Hammer

Kai Baumgarten

Sigrid K Wortmann

Philipp Grosse

Yu Su

Veit Spaegele

Thomas Elvers

Junhui Liu

Juan Ge

Jianfeng Yan

In one embodiment, the present invention includes a computer-implemented method comprising storing data in an application using an application custom data type and application custom data structure. The data is stored in a database using the application custom data type and the application custom data structure. In one embodiment, a request is sent to access the data from the application to the database. The data is retrieved from the database in response to the request in the application custom data type and the application custom data structure. In one embodiment, the data is sent from the database to a shared memory in the application custom data type and the application custom data structure and the data is retrieved by the application from the shared memory in the application custom data type and the application custom data structure.

Integrated application server and data server processes with matching data formats

In one respect, there is provided a distributed database system that includes a global scheduler node and a first local scheduler node. The global scheduler node can be configured to generate an execution plan for a query requiring data stored at and/or managed by a first and a second worker node assigned to the first local scheduler node. The execution plan can include a first fragment having operations to be performed by the first and second worker node. The first local scheduler node can be configured to coordinate the execution of a portion of the first fragment of the execution plan by distributing, to the first and second worker node, operations included in the first fragment of the execution plan, and routing, between the first and second worker node, messages associated with executing the first fragment of the execution plan. Related methods and computer program products are also provided.

Static hierarchy based query execution

The present disclosure involves systems, software, and computer implemented methods for preventing reader starvation in a distributed system. One example method includes receiving, at a node that manages a data stream, a write-intent request from a writer for a first partition, the data stream associated with a graph that includes levels of partitions including a current level; identifying the first partition for the writer; providing partition information for the first partition to enable the writer to write to the first partition; determining that the writer has previously written to a second partition associated with the current level; in response to determining that the writer has previously written to the second partition: creating a new current level; associating the first partition with the new current level; identifying partitions associated with the current level; and providing a close-level instruction to each local node that includes a partition associated with the current level.

Preventing reader starvation during order preserving data stream consumption

In one respect, there is provided a distributed database system that includes a first local scheduler node and a second local scheduler node. The first local scheduler node can be configured to coordinate a performance of a first task and a second task by a first worker node associated with the first local scheduler node. The second local scheduler node can be configured to respond to a defect at the first local scheduler node by at least: collecting, from the first worker node, a log indicating one or more tasks completed by the first worker node prior to the defect at the first local scheduler node; determining, based at least on the log, that the first worker node has completed the first task but not the second task; and coordinating a performance of the second task by the first worker node. Related methods and articles of manufacture are also provided.

Handling failovers at one or more nodes in a distributed database system

In one respect, there is provided a distributed database system. The distributed database system can include a plurality of nodes and a plurality of optimizers. A first optimizer of the plurality of optimizers can be configured to: receive, from a client, a command; generate, based at least in part on global metadata cached by the first optimizer, an execution plan for fulfilling the command that includes one or more tasks to be performed by at least a first node of the plurality of nodes; determine that at least one task of the one or more tasks are not successfully performed by the first node; and in response to determining that at least one task of the one or more tasks are not successfully performed by the first node, updating the cached global metadata at the first optimizer.

Metadata versioning in a distributed database

A system includes reception of a request to modify the data of a database, the request including first data, execution of processing to fulfill the request, determination, during execution of the processing, that a validation exit is associated with a current state of the processing, storage of the first data in a local temporary table in response to the determination, passage of the local temporary table to the validation exit, and execution of the validation exit to validate the first data based on the local temporary table and on the data of the database.

Validation of web-based database updates

In one aspect, a computer-implemented method includes calculating cardinality differences and combined sizes for one or more data block pairs in a relational database. The method also includes selecting a data block pair from the one or more data block pairs based on a calculated cardinality difference and a calculated combined size associated with the selected data block pair. The method further includes merging the selected data block pair to form a merged data block, and replacing the selected data block pair in the relational database by the merged data block.

Mechanism for constant-space indexing optimized data block merging

A distributed database system can include a plurality of nodes. In order to execute a query at the distributed database system, one or more of the plurality of nodes can perform operations included in an execution plan for the query. A first node of the plurality of nodes can group the plurality of nodes into at least a first cluster. The first node can further select a second node to act as a gateway node for the first cluster. The first node can determine that at least one recipient node of a message is included in the first cluster and route the message to the recipient node by at least sending the message to the second node. Related methods and articles of manufacture are also disclosed.

Dynamic hierarchy based message distribution

A system includes acquisition of executable code of a database job, generation of a definition of the database job in a database repository, the definition of the database job comprising metadata specifying the executable code of the database job and a schedule for executing the executable code, association of a user with the database job, and activation of the database job.

Database job description and scheduling

A system, a method, and a computer program product for scalable processes for write-order preserving data stream consumption. A data partition in a plurality of data partitions of data stream is selected based on a request received from a client processing node. The plurality of data partitions are distributed among a plurality of broker nodes in a distributed messaging system. A broker node in the plurality of broker nodes hosting the selected data partition is identified. The identified broker node provides the selected data partition to the client processing node for performing at least one function.

Write order preserving data stream consumption

A system includes activation of an OData service exposing a parameterized database view, the OData service exposing a Parameter Entity Type and a Result Entity Type, wherein the Parameter Entity Type specifies one or more input parameters of the database view as properties of the Parameter Entity Type, and defines a Parameter Entity Type key formed by each of the one or more input parameters, and wherein the Result Entity Type specifies the one or more input parameters and one or more output of the database view as properties of the Result Entity Type, and defines a Result Entity Type key formed by each of the one or more input parameters and at least one of the one or more output parameters. Also included is reception of an OData request comprising a Uniform Resource Indicator, the Uniform Resource Indicator including the OData service, the Result Entity Type, and a value for each of one or more input parameters of the database view and for at least one of the one or more output parameters of the database view, and execution, in response to the request, of the OData service to return a single entity associated with the values.

Accessing single entities in OData entity sets

A system includes establishment of a WebSocket connection at a WebSocket endpoint of the system with a WebSocket client, registration of a callback at the WebSocket endpoint for an event associated with an update to data of the database, identification of an update to the data of the database at an HTTP endpoint of the system, sending, in response to the identification of the update, a trigger event from the HTTP endpoint, reception of the trigger event at the WebSocket endpoint, and execution of the callback by the WebSocket endpoint to transmit the update to the WebSocket client.

Growing community of inventors

Berlin, Germany

Martin Strenge