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Hypertable Doug Judd CEO, Hypertable, Inc.
High Performance, Open Source Scalable Database ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hypertable Deployments
Architecture
Underlying Data Representation
Scaling (part I)
Scaling (part II)
Scaling (part III)
Request Routing
Query Handling
Features
[object Object],[object Object],[object Object],[object Object],[object Object]
Namespaces /development user tweet /testing user tweet /production /v1 user tweet /v2 user tweet
Column Family Options ,[object Object],[object Object],[object Object],[object Object],[object Object]
Access Groups ,[object Object],[object Object],[object Object],[object Object],[object Object],CREATE TABLE MyTable ( a, b, c, d, ACCESS GROUP first(a), ACCESS GROUP second (b, c, d) );
Regular Expression Filtering ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SELECT CELLS tag:/(?i)(nosql|bigtable)/ FROM MyTable WHERE ROW REGEXP "^+" AND  VALUE REGEXP ”(?i)hypertable";
Atomic Counters ,[object Object],[object Object],create table counts ( url COUNTER, ); Reset counter to n =n Decrement counter by n -n Increment counter by n [+]n Description Value Format
Group Commit ,[object Object],[object Object],[object Object],CREATE TABLE counts ( url, domain ) GROUP_COMMIT_INTERVAL=100;
Compression ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bloom Filter ,[object Object],[object Object],[object Object]
Performance Evaluation
Setup ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Latency
Throughput 220 Scan 10 byte values 75 Scan 100 byte values 58 Scan 1KB values 2 Scan 10KB values 129 Sequential Read 100 byte  values 68 Sequential Read 1KB values 1060 Sequential Read 10KB values 931 Random Write 10 byte values 427 Random Write 100 byte values 102 Random Write 1KB values 51 Random Write 10KB values 100 Random Read Zipfian 2.5 GB 777 Random Read Zipfian 20 GB 925 Random Read Zipfian 80 GB Hypertable Advantage Relative to HBase (%) Test
Why does Performance Matter? $$$
Upcoming Release (0.9.5) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Resources   blog .hypertable.com Blog:   www.hypertable.org Project Site:   hypertable Twitter:
Professional Support
Q&A

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Nosql series-part-3-hypertable

Editor's Notes

  1. -Why use the HT Hive extension? -select from and insert to Hypertable from Hive -currently HT doesn’t support types natively everything is a string, whereas Hive has an extensive type system -Hive allows you to do joins across multiple tables, some in HT, some in Hive or other sources -Keep fast changing data in HT and combine with other less frequently updated data sources -This is an initial working implementation , we have a fairly detailed roadmap of features we want to add going forward.