Amazon Technologies, Inc.

Naveen Muralimanohar

Ippokratis Pandis

Martin Grund

Andrew Edward Caldwell

Bhaven Avalani

Naresh Chainani

Venkatraman Govindaraju

Fabian Oliver Nagel

Kiran Kumar Chinta

William Michael McCreedy

Michalis Petropoulos

Nikolaos Armenatzoglou

Compiled portions of code generated to perform a query plan at a query engine may be shared with other query engines. A data store, separate from the query engines, may store compiled portions of query code generated for different queries. If a query engine does not have a locally stored compiled portion of query code, then the separate data store may be accessed in order to obtain a compiled portion of query code, allowing reuse of compiled query code across different queries engines for queries directed to different databases.

Sharing compiled code for executing queries across query engines

Caching results of sub-queries to different locations in a data store may be performed. A database query may be received that causes different storage engines to perform sub-queries to different locations in a data store that stores data for a database. The results of the sub-queries may be stored in a cache. When another database query is received, sub-queries generated to perform the other database query that are the same as one or more of the previously performed sub-queries may obtain the results of the sub-queries from the cache instead of performing the sub-queries again.

Caching results for sub-queries to different data store locations

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San Jose, CA, United States of America

Naveen Muralimanohar