International Business Machines Corporation

Amazon Technologies, Inc.

Ramakrishna Dwivedula

Anoop Gupta

Roger C Raphael

Robert Michael Rees

Tanmoy Dutta

Thomas K Clark

Brian L Welcker

Aravind Ramarathinam

Sandor Loren Maurice

Alexey Kuznetsov

Lawrence Douglas Webley

Amit Purohit

Yuhui Yuan

Jagdeep Singh Sidhu

Serhii Poliakov

Parijatham Santosh Kumar Vodela

James H Mlodgenski

Sachin Honnudike

Sundaresan Krishnamurthy

Techniques for query execution against relational databases using connection pooling are described. According to some embodiments, a query processing service is disclosed that enables users to execute queries against target relational databases implemented by a relational database service. The service receives query requests originated by a client application at a web service endpoint and identifies a connection to a particular target database. In some examples, the query request is a Hyper Text Transfer Protocol (HTTP) message comprising a query to be executed by a target database instance within the provider network. The service transmits the query for execution at the target database via the connection and obtains a query result based on the execution of the query. The service transforms the query result into a format suitable for the client and transmits a query response to the client.

SQL execution over HTTP for relational databases using connection pooling

An apparatus, system, and method are disclosed for managing storage space allocation. The apparatus includes a recognizing module, a reserving module, and a managing module. The recognizing module recognizes a trigger event at a client of the data storage system. The reserving module reserves logical units of space for data storage. The management module manages the logical units of space at the client. Such an arrangement provides for distributed management of storage space allocation within a storage area network (SAN). Facilitating client management of the logical units of space in this manner may reduce the number of required metadata transactions between the client and a metadata server and may increase performance of the SAN file system. Reducing metadata transactions effectively lowers network overhead, while increasing data throughput.

Apparatus, system, and method for managing storage space allocation

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San Jose, CA, United States of America

Ramakrishna Dwivedula