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词条 Amazon Aurora
释义

  1. Key features

  2. Compatibility limitations with MySQL

      Performance  

  3. See also

  4. References

  5. External links

{{Infobox software
| logo =
| name = Amazon Aurora
| developer = Amazon.com
| released = {{Release date and age|2014|10}} [1]
| operating system = Cross-platform
| language = English
| genre = relational database SaaS
| license = Proprietary
| website = {{URL|https://aws.amazon.com/rds/aurora/}}
}}

Amazon Aurora is a hosted relational database service developed and offered by Amazon since October 2014.[1][2] Aurora is available as part of the Amazon Relational Database Service (RDS). Although it is a proprietary technology,[3] it offers MySQL compatible service since its release and PostgreSQL compatible since October 2017[4] and it is also possible to stop and start Aurora Clusters since September 2018[5].

Since August 2018 Amazon also offers a serverless version of AWS Aurora.[6]

Key features

Aurora does not require the user to provision database storage, as it automatically allocates storage in 10-gigabyte increments, as needed, up to a maximum of 64 terabytes.[7] Aurora offers automatic, six-way replication of those 10-gigabyte chunks across multiple locations for improved availability and fault-tolerance. Aurora also provides users with more comprehensive performance metrics, such as query throughput and latency, as compared to other RDS database engines.[8], since August 2017 also provided fast database cloning feature[9].

Compatibility limitations with MySQL

Amazon designed Aurora to be compatible with MySQL, meaning that tools for querying or managing MySQL databases (such as the {{Mono|mysql}} command-line client and the MySQL Workbench graphical user-interface) work with Amazon Aurora databases as well. Not all MySQL options and features are available, however: {{as of |2016 | September | lc = on}}, Amazon Aurora is compatible with two versions of MySQL (5.6, 5.7), and supports only InnoDB as a storage engine.[10]

Performance

Amazon claims fivefold performance improvements on benchmarking tests over MySQL on the same hardware, due to "tightly integrating the database engine with an SSD-based virtualized storage layer purpose-built for database workloads, reducing writes to the storage system, minimizing lock contention and eliminating delays created by database process threads".[10] Other independent tests have shown that Aurora performs better than competing technologies on some, but not all, combinations of workload and instance type.[11]

See also

  • Amazon Relational Database Service

References

1. ^https://aws.amazon.com/blogs/aws/highly-scalable-mysql-compat-rds-db-engine/
2. ^{{Cite web |url=http://www.eweek.com/cloud/amazon-claims-new-aurora-db-engine-screams-with-speed.html |first=Chris |last=Preimesberger |title=Amazon Claims New Aurora DB Engine Screams With Speed |website=eweek.com |date=2014-11-12 |accessdate=2014-11-13}}
3. ^{{cite web|last1=Hiltbrand|first1=Troy|title=Analysis: Aurora Is Amazon's Answer for Forgotten DBMS Users|url=https://upside.tdwi.org/Articles/2016/07/22/Analysis-Amazon-Aurora-DBMS.aspx|website=Upside|publisher=TDWI|accessdate=14 September 2016}}
4. ^https://aws.amazon.com/blogs/aws/now-available-amazon-aurora-with-postgresql-compatibility/
5. ^https://aws.amazon.com/about-aws/whats-new/2018/09/amazon-aurora-stop-and-start/
6. ^https://aws.amazon.com/blogs/aws/aurora-serverless-ga/
7. ^{{cite web|title=Amazon Aurora FAQs|url=https://aws.amazon.com/rds/aurora/details/|accessdate=14 September 2016}}
8. ^{{cite web|title=Monitoring Amazon Aurora performance metrics|url=https://www.datadoghq.com/blog/monitoring-amazon-aurora-performance-metrics/|publisher=Datadog|accessdate=15 September 2016}}
9. ^https://aws.amazon.com/blogs/aws/amazon-aurora-fast-database-cloning/
10. ^{{cite web|title= Amazon Aurora Product Details |url= https://aws.amazon.com/rds/aurora/faqs/|accessdate= 15 September 2016}}
11. ^{{cite web|last1= Tusa|first1= Marco|title= AWS Aurora Benchmarking part 2|url= https://www.percona.com/blog/2016/05/26/aws-aurora-benchmarking-part-2/|publisher= Percona|accessdate= 15 September 2016}}

External links

  • [https://dl.acm.org/citation.cfm?id=3056101 Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases] - SIGMOD'17 (ACM digital library)
  • {{cite press release |last1=Amazon Web Services, Inc. |authorlink=Amazon Web Services |date=2014-11-12 |title=Amazon Web Services Announces Amazon Aurora |url=http://phx.corporate-ir.net/phoenix.zhtml?c=176060&p=irol-newsArticle&ID=1988965 |work=phx.corporate-ir.net |type=Press release |location=Seattle, WA |publisher=Amazon.com |accessdate=2014-11-13}}
{{Amazon}}{{Database-stub}}

3 : 2014 software|Amazon Web Services|Cloud databases

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