Aws s3
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This document discusses Amazon S3, including CAP theory, eventual consistency vs read-after-write consistency, regions, security, comparisons between S3 and S3N, limitations of S3, use of S3 with Hadoop, and S3 performance. It explains that S3 provides eventual consistency by default but some regions support read-after-write consistency. It also notes limitations on file names for S3 buckets and the 5GB file size limit of S3N for Hadoop.
Aws s3
- 1. Amazon S3
- 2. 朕 S3 CAP 尖 恷K匯崑, 羨軸匯崑 Read after Write consistently S3N
- 5. Read after Write consistent Amazon S3 壓仟秀Y創r頁λ嗤c恬匯 崑來秘。 Less latency : 侭嗤Client 壓心欺仟秀Y創頁恷仟 議
- 6. 恷K匯崑來式匯崑來曳^ Eventually Consistent Read Consistent Read Stale reads possible No stale reads Lowest read latency Potential higher read latency Highest read throughput Potential lower read throughput
- 7. Region Region Puts (new object) OverWrite Puts,Delete US Standard eventual consistency eventual consistency US West (Oregon) Region read-after-write consistency eventual consistency US West (Northern California) Region read-after-write consistency eventual consistency EU (Ireland) Region read-after-write consistency eventual consistency Asia Pacific (Singapore,Tokyo,Syn de) Region read-after-write consistency eventual consistency ? South America (Sao Paulo) Region read-after-write consistency eventual consistency
- 8. Security ACL Access List Control
- 9. S3 式S3N NAME Type S3 Native FileSystem File S3 Block FileSystem Block
- 10. S3 渣 凋兆Bucket 音嬬淫凄 ｀.¨ 念瘁脅音佩式 DNS 鯉塀。
- 11. S3 cHadoop 辛恬HADOOP Υ羌紬dw徽頁壓S3N 嗤5GB 議渣橡參音辛參恬HDFS 議紋旗瞳 S3 辛參嗤階^n5GB, 參Block Method 徽音嬬 喘S3 tool 恬荷恬俶喘HADOOP TOOLS
- 12. S3 Performance Request Rate and Performance S3 bucket routinely exceeds 100 PUT/LIST/DELETE requests per second more than 300 GET requests per second TCP Window scaling Amazon S3 by supporting window sizes larger than 64 KB