公开(公告)号：US11327937B1

公开(公告)日：2022-05-10

申请号：US14859059

申请日：2015-09-18

Applicant: Amazon Technologies, Inc.

Inventor： Kiran Kumar Muniswamy Reddy ,  Yijun Lu ,  Wei Xiao ,  Pejus Manoj Das ,  Shirley Xue Yi Ly ,  Aanchal Gupta

IPC: G06F16/22 ,  G06F16/27 ,  G06F16/28 ,  G06F16/2457 ,  G06F16/24

Abstract: A distributed data storage system may implement determining indexing progress for a table stored in the distributed data storage system. A table may be stored in multiple table partitions. When a secondary index is created for the table, each partition may independently index the items stored within the table partition in order to identify those items in the partition that should be stored in the secondary index. During creation of the secondary index, creation progress points that indicate the progress of the indexing across the table partitions may be determined. The creation progress points may be provided via a programmatic, textual, or graphical interface to the distributed data storage system.

公开(公告)号：US10146814B1

公开(公告)日：2018-12-04

申请号：US14859075

申请日：2015-09-18

Applicant: Amazon Technologies, Inc.

Inventor： Aanchal Gupta ,  Kiran Kumar Muniswamy Reddy ,  Stuart Henry Seelye Marshall

IPC: G06F17/30

Abstract: A data storage system may implement recommending throughput capacity for generating a secondary index for an online table. Secondary indexes may be created for a table stored in multiple partitions in the data storage system. The data storage system may allow users to provision throughput capacity to process access requests at secondary indexes. The throughput capacity may also be used to perform updates at the secondary index as part of generating the secondary index. A creation throughput capacity may be determined that compensates for performing the updates to generate the secondary index. A user may receive a recommendation with the creation throughput capacity for creating the secondary index and may accept or modify the creation throughput capacity. The creation throughput may be automatically provisioned to create the secondary index, in some embodiments.

公开(公告)号：US10135703B1

公开(公告)日：2018-11-20

申请号：US14858360

申请日：2015-09-18

Applicant: Amazon Technologies, Inc.

Inventor： Aanchal Gupta ,  Kiran Kumar Muniswamy Reddy ,  Shirley Xue Yi Ly ,  Lokendra Singh Panwar ,  Pejus Manoj Das

IPC: H04L12/26 ,  G06F17/30

Abstract: A data storage system may implement generating creation performance metrics for a secondary index of a table. Metrics may be collected from different partitions of a table and different partitions of a secondary index in a table store upon initiating creation of the secondary index for the table that utilize provisioned resources for creating the secondary index. The metrics may be analyzed to generate performance metrics for the creation of the table. The performance metrics may be provided to clients of the data store or to monitoring systems. Monitoring systems may send performance event notifications to clients or automatically perform modifications to the provisioned throughput capacity.

公开(公告)号：US09235609B1

公开(公告)日：2016-01-12

申请号：US14054773

申请日：2013-10-15

Applicant: Amazon Technologies, Inc.

Inventor： Prashant Pandey ,  Swaminathan Sivasubramanian ,  Khawaja Salman Shams ,  Omer Ahmed Zaki ,  David Craig Yanacek ,  Johanna S Olson ,  Hendrik Jacobus de Kock ,  Johnny Ying Wu ,  Aanchal Gupta

IPC: G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30309 ,  G06F17/30557

Abstract: A local data store may also be configured to process updates using a common API with reference to a common schema. The common API and common schema may also be employed by hosted applications utilizing a remote distributed data store. Behavior of the remote distributed data store may be emulated by the local data store. Behaviors of the distributed data store that may be simulated include eventual consistency, provisioned throughput and latency based on horizontal partitioning.

Abstract translation: 还可以将本地数据存储器配置为使用通用API参考公共模式来处理更新。 常用的API和通用模式也可以由托管的应用程序利用远程分布式数据存储。 远程分布式数据存储的行为可能由本地数据存储器模拟。 可以模拟的分布式数据存储的行为包括基于水平分区的最终一致性，提供的吞吐量和延迟。