Sybase, Inc.

Sap Se

Paresh Manhar Rathod

Amit Pathak

Swati Sharma

Nikhil Jamadagni

Prateek Agarwal

Debashis Banerjee

Kavitha Krishnan

Graham Ivey

Aditya Gurajada

Dheren Gala

Rahul Mittal

Hemanth Basrur

Jay Gorakhnath Sudrik

Aditya Kelkar

Carlos Ruiz Muñoz

Shrikant Awate

Mitali Yadav

Samar Desai

According to some embodiments, a system, method and non-transitory, computer readable medium are provided comprising a memory storing processor-executable program code; and a processing unit to cause the system to: receive a range of persistent volume disk size values from a cloud service provider; receive a value for an upper bound of a number of persistent volume disks attachable to a virtual machine per the cloud service; determine a number of persistent volume disks based on the upper bound, wherein the number is at least two; generate a plurality of configurations of the determined number of persistent volume disks, wherein a configuration is provided for each persistent volume disk size value, and each configuration divides the persistent volume disk size value between two or more persistent volume disks; and aggregate the generated plurality of configurations in a decision table. Numerous other aspects are provided.

Storage for multi-cloud database as a service

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program observes a parameter associated with a computing system. Upon receiving a change associated with the parameter, the program further determines a routine definition from a set of routine definitions associated with the parameter. Each routine definition in the set of routine definitions specifies a set of instructions associated with a particular parameter associated with the computing system. The program also executes the set of instructions specified in the determined routine definition.

Dynamic generation of logic for computing systems

Techniques of implementing partition level operations with concurrent activities are disclosed. A first operation can be performed on a first partition of a table of data. The first partition can be one of a plurality of partitions of the table, where each partition has a plurality of rows. A first partition level lock can be applied to the first partition for a period in which the first operation is being performed on the first partition, thereby preventing any operation other than the first operation from being performed on the first partition during the period the first partition level lock is being applied to the first partition. A second operation can be performed on a second partition of the table at a point in time during which the first operation is being performed on the first partition.

Partition level operation with concurrent activities

A system for an in-memory row storage architecture can be provided. In some implementations, the system performs operations comprising determining that data stored at a first location in a persistent page store is active, copying the data to a second location in an in-memory row store in response to determining that the data is active, indexing the data in an index table in response to determining that the data is active, accessing the data at the second location in the in-memory row store based on the index table, and performing an update of the data in the in-memory row store. Related systems, methods, and articles of manufacture are also described.

In-memory row storage architecture

The capability to perform data backup and restore within a distributed database system environment is provided. The embodiments includes initiating a backup operation of a database distributed across a plurality of nodes, and coordinating synchronization of the backup operation within and among the plurality of nodes for parallel, local data dumping with transactional consistency to a single point in time.

Parallel backup for distributed database system environments

Synchronization of metadata structures in a multi-threaded system includes receiving, by a first thread of a processing device, a request for a metadata structure located in a first cache associated with an object, obtaining, by the first thread of the processing device, a synchronization mechanism associated with the first cache, holding, by the first thread of the processing device, the metadata structure associated with the object, receiving, by a second thread of the processing device, a request for the metadata structure in a second cache associated with the object, obtaining, by the second thread of the processing device, a synchronization mechanism associated with the second cache and informing the second thread of the processing device that the metadata structure associated with the object is not available.

Synchronization of metadata in a multi-threaded system

Growing community of inventors

Maharashtra, India

Paresh Manhar Rathod