Amazon Technologies, Inc.

Turkay Mert Hocanin

Rahul Sharma Pathak

Abhishek Rajnikant Sinha

Xing Wu

Luca Natali

Bhargava Ram Kalathuru

Jason Douglas Denton

Jian Fang

Sumeetkumar Veniklal Maru

Pratik Bhagwat Gawande

Yuanyuan Yue

Armen Tangamyan

Yufeng Jiang

Anthony A Virtuoso

Andrew Edward Caldwell

Jonathan Andrew Fritz

Ramkumar Kamalapuram Sugavanam

Marc Howard Beitchman

Gitesh Tyagi

Nachimuthu Govindasamy

Anurag Windlass Gupta

Rajul Mittal

Montana Norman Wong

Carey Michael Crook

Mahmoud Salem

Yugandhar Maram

Shiyu Sun

Yu Yan

Aditya Manohar

A database management system receives a request to process a database query on behalf of a security principal. The database management system determines that processing the database query requires access to an encrypted portion of a file containing data subject to access conditions. The database management system determines that the security principle is authorized to use a key that corresponds to the encrypted portion of the file. The database management system then completes processing of the query by using the key to access the encrypted portion of the file.

Column access control

A multi-framework blockchain service may be implemented with a common interface to manage different types of blockchain networks. Requests to create a blockchain network may be received via an interface for the control plane that triggers the creation of the blockchain network according to an identified workflow. Various operations to change the blockchain network, including membership changes, node additions, governance changes, analytics changes, and monitoring changes may be allowed or denied by the control plane according to a distributed governance policy in effect for the blockchain network.

Multi-framework managed blockchain service

Queries may be received and executed by a managed query service. A query directed to data sets that are separately stored in a remote data store may be received. Computing resources to execute the query may be provisioned from a pool of computing resources that are configured to execute queries. The query may be routed to the provisioned computing resources to execute the query. Results may be obtained from the computing resource and provided to a submitter of the query.

Managed query service

Query execution status may be tracked to selectively route queries to resources for execution. The completion of queries executing at computing resources obtained from a pool of computing resources configured to execute queries may be detected. Instead of returning the computing resources to the pool, the computing resources may be identified as available in resource management data. When another query is received, the resource management data may be evaluated to select an available computing resource. The query may then be routed to the selected computing resource for execution.

Tracking query execution status for selectively routing queries

Access across private networks may be enabled for blockchain networks in a managed blockchain service. Requests to enable access for a node hosted in a private network to one or more nodes hosted in a different private network that hosts the blockchain network as part of a managed blockchain service may be received. Routes to enable the access may be determined and added to networking devices so that communications between the node in the private network to specified nodes in the private network of the managed blockchain service may be correctly routed.

Enabling access across private networks for a managed blockchain service

The configuration of computing resources for executing queries may be selected. A comparison of the configuration of computing resources that executed previous queries may be made to select the configuration of computing resources for a received query. A historical query execution model maybe applied, in some embodiments, to determine a resource configuration for computing resources to execute a query. The computing resources may be selected from available computing resources according to the determined resource configuration.

Selecting resource configurations for query execution

Independent scheduling of resources may be performed for distributed data processing programs. When a request is received that causes the performance of a distributed data processing program, a plan to perform the distributed data processing program may be generated. Different resources may be obtained to perform different portions of the distributed data processing program according to different portions of the generated plan. A result of the request may be provided to a user. In some embodiments, resources obtained for different portions of the distributed data processing program may be returned for use by other programs.

Independent resource scheduling for distributed data processing programs

Partitions of a database table may be predicted for processing database queries. When a database query to a database is received, partitions of the database table that may exist may be predicted according to a partitioning scheme. The predicted partitions may be accessed in order to perform the query. In some embodiments, the partitioning scheme may be received from a user of the database. In some embodiments, the partitioning scheme may be obtained by analyzing the database table.

Predicting partitions of a database table for processing a database query

Growing community of inventors

New York, NY, United States of America

Turkay Mert Hocanin