Amazon Technologies, Inc.

Qiang Yu

Joseph Elmar Magerramov

David C Jernberg

Sudipta Sengupta

Rama Krishna Sandeep Pokkunuri

Bing Xiang

Ramesh M Nallapati

Alexander Johannes Smola

Parminder Bhatia

Atul Deo

Andrew Oliver Arnold

Matthew Lee

Srinivas Iragavarapu

Ankur Deepak Desai

Wasi Uddin Ahmad

Wei Fang

Lei Gao

Venkat Rakshith Reddy Swamireddy

Sathish Arumugam Selvaraj

Code completion suggestions may be proactively obtained and validated. An event that triggers obtaining a code completion suggestion for inclusion in a code file being edited using an integrated development environment may be detected. The code completion suggestion may be obtained. The characters of the code completion suggestion may be compared with characters added to the code file after the detection of the event that triggered obtaining the code completion suggestion to determine whether the code completion suggestion is valid. A valid code completion suggestion may then be displayed.

Validating and providing proactively generated code completion suggestions for code development

Disclosed are various embodiments for employing spillover tables that may improve the performance of data store updates. In some embodiments, transaction data that specifies a value by which to adjust a field in a data table is received. The field in the data table is associated with a predefined constraint. An attempt to obtain an exclusive lock for at least a portion of the data table is initiated. Whether the value has a potential to cause the predefined constraint to remain satisfied is identified. The transaction data is stored in a spillover table in response to a failure to obtain the exclusive lock and in further response to the value having the potential to cause the predefined constraint to remain satisfied.

Employing spillover tables for data updates

Disclosed are various embodiments for employing spillover tables to improve performance of data store updates. A request to update a data field is received, and if an exclusive lock on a data table cannot be obtained, the request is placed in a spillover table until the exclusive lock can be obtained. If the request causes a constraint on the data field to be violated or causes the data field to move closer to the constraint, the request is not placed in the spillover table. A spillover task can collapse entries in the spillover table into the data store when an exclusive lock can be obtained.

Growing community of inventors

Issaquah, WA, United States of America

Qiang Yu