Jayanta C Mondal

US Patent:

20190340291, Nov 7, 2019

Filed:

May 29, 2018

Appl. No.:

15/991880

Inventors:

- Redmond WA, US
Momin Mahmoud AL-GHOSIEN - Sammamish WA, US
Samer BOSHRA - Woodinville WA, US
Brandon CHONG - Kirkland WA, US
Madhan GAJENDRAN - Bengaluru, IN
Mikhail Mikhailovich KOLTACHEV - Redmond WA, US
Orestis KOSTAKIS - Bellevue WA, US
Aravind Ramachandran KRISHNA - Kirkland WA, US
Liang LI - Sammamish WA, US
Jayanta MONDAL - Seattle WA, US
Balachandar PERUMALSWAMY - Kirkland WA, US
Karan Vishwanath POPALI - Bellevue WA, US
Adrian Ilcu PREDESCU - Sammamish WA, US
Vivek RAVINDRAN - Redmond WA, US
Ankur Savailal SHAH - Redmond WA, US
Pankaj SHARMA - Kirkland WA, US
Dharma SHUKLA - Bellevue WA, US
Ashwini SINGH - Bellevue WA, US
Vinod SRIDHARAN - Redmond WA, US
Hari Sudan SUNDAR - Redmond WA, US
Krishnan SUNDARAM - Bellevue WA, US
Shireesh Kumar THOTA - Redmond WA, US
Oliver Drew Leonard TOWERS - Seattle WA, US
Siddhesh Dilip VETHE - Redmond WA, US

International Classification:

G06F 17/30

Abstract:

Databases are often provided according to various organizational models (e.g., document-oriented storage, key/value stores, and relational database), and are accessed through various access models (e.g., SQL, XPath, and schemaless queries). As data is shared across sources and applications, the dependency of a data service upon a particular organizational and/or access models may become confining. Instead, data services may store data in a base representation format, such as an atom-record-sequence model. New data received in a native item format may be converted into the base representation format for storage, and converted into a requested format to fulfill data requests. Queries may be translated from a native query format into a base query format that is applicable to the base representation format of the data set, e.g., via translation into an query intermediate language (such as JavaScript) and compilation into opcodes that are executed by a virtual machine within the database engine.

US Patent:

20170083566, Mar 23, 2017

Filed:

Sep 17, 2015

Appl. No.:

14/857284

Inventors:

- Redmond WA, US
Jayanta Mondal - Hyattsville MD, US

International Classification:

G06F 17/30

Abstract:

A partitioning advisor for online transaction processing (OLTP) workloads generates a workload dependency graph based on a schema defining a structure of a relational database and a workload associated with an OLTP application that accesses the relational database. Based on the workload dependency graph, the partitioning advisor generates one or more partitioning strategy recommendations for sharding the relational database. The partitioning advisor may also render a visualization based on the workload dependency graph, enabling a user to see the impact each recommended partitioning strategy is predicted to have.