Amazon Technologies, Inc.

Nanda Kaushik

Stefano Stefani

Yuri L Volobuev

Murali Brahmadesam

Sangyong Hwang

Punit Rajgaria

Saleem Mohideen

Changan Han

Jaeyun Noh

Navaneetha Krishnan Thanka Nadar

Kartikey Bhatt

Shriram Sridharan

Sangil Song

Haritabh Gupta

Aravind Kumar Kumar

Praveen Kannan

Ahmad Mohammad Radi Ahmad Alsmair

Jan Engelsberg

Gajanan Sharadchandra Chinchwadkar

Amit Krishnan

Kiran Pillarisetty

Sungheun Wi

Sambhavi Raghuraman

Awisha Makwana

Davor Prugovecki

Replication of a client-managed table may be configured across shards of system-managed tables in a database system for improved query performance. A client-managed table may be identified to replicate as a complete copy of the table respectively collocated with two or more shards of one or more other system-managed tables. The complete copy may be stored in respective storage volumes of the two or more shards of the one or more other system-managed tables. Metadata for performing access requests at a database system may be updated to identify the client-managed table as collocated with the two or more shards of the one or more other system-managed tables.

Configuring replication across shards of scalable database tables for improved query performance

Remote grouping operations may be used to perform queries for distinct values. A query may be received at a query engine that includes a request for distinct items from a data set stored in a data store. To perform the query, a request may be made to the data store to group items from the data set by value when returned from the data store to the query engine. The query engine may then evaluate the items grouped by value that are returned from the data store to determine distinct items as part of performing the query.

Remote grouping operations to perform queries for distinct values

Techniques for distributed database storage utilizing split volume types for redo log records and change log records are described. A database engine sends redo log data to a first set of page storage nodes and change log data to a second set of tuple storage nodes, where the change log data is stored in an indexed manner Client access to change log data may be provided through a separate set of streaming storage servers instead of through the database engine.

Streaming database change data from distributed storage

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Fremont, CA, United States of America

Nanda Kaushik