hypertable berlin buzzwords

HypertableHypertable

Doug JuddDoug Judd

CEO, Hypertable, Inc.CEO, Hypertable, Inc.

High Performance, Open SourceHigh Performance, Open SourceScalable DatabaseScalable Database

Modeled after Modeled after BigtableBigtable High Performance Implementation (C++)High Performance Implementation (C++) Project Started in March 2007Project Started in March 2007 Thrift Interface for all popular languagesThrift Interface for all popular languages

JavaJava PHPPHP RubyRuby PythonPython Perl, etc.Perl, etc.

Bigtable: the infrastructure that Bigtable: the infrastructure that Google is built onGoogle is built on

YouTubeYouTube BloggerBlogger Google EarthGoogle Earth Google MapsGoogle Maps Orkut (social network)Orkut (social network) GmailGmail Google AnalyticsGoogle Analytics Google Book SearchGoogle Book Search Google CodeGoogle Code Crawl DatabaseCrawl Database … … plus 90 other Google services …plus 90 other Google services …

FunctionalityFunctionality

Massive sparse tables of informationMassive sparse tables of information Single primary key indexSingle primary key index Cells can have mulitple timestamped Cells can have mulitple timestamped

versionsversions Not RelationalNot Relational

No joins (not yet)No joins (not yet) No secondary indexes (not yet)No secondary indexes (not yet) Not a transaction system (not yet)Not a transaction system (not yet)

Hypertable DeploymentsHypertable Deployments

Other ArchitecturesOther Architectures

Auto-ShardingAuto-Sharding

MongoDBMongoDB

AsterDataAsterData

GreenplumGreenplum

MongoDBMongoDB

Dynamo-based Hash Table Dynamo-based Hash Table ArchitecturesArchitectures

CassandraCassandra

Project VoldemortProject Voldemort

RiakRiak

Eventual ConsistencyEventual Consistency

Consistent HashingConsistent Hashing

Order Preserving Partitioner Order Preserving Partitioner (Cassandra)(Cassandra)

www.recipezaar.com 1091721999…629750272 1091721999…629750272

++www.ribbonprinters.com 1091721999…965293103 1091721999…965293103

/ 2 =/ 2 =www.rgb????i?pQdp?.??? 1091721999…297521687?.??? 1091721999…297521687

Order Preserving PartitionerOrder Preserving PartitionerBalance ProblemBalance Problem

Hypertable ArchitectureHypertable Architecture

Conceptual Table LayoutConceptual Table Layout

Table: Actual RepresentationTable: Actual Representation

Range DistributionRange Distribution

Google StackGoogle Stack

Google File SystemGoogle File System

Google File SystemGoogle File System

System OverviewSystem Overview

Log Structured Merge (LSM) TreeLog Structured Merge (LSM) Tree

Eliminates random I/O on writesEliminates random I/O on writes Converts random I/O to sequential I/OConverts random I/O to sequential I/O Write pathWrite path

1.1. Commit log on disk (DFS)Commit log on disk (DFS)

2.2. In-memory mapIn-memory map In-memory map gets “compacted” to diskIn-memory map gets “compacted” to disk Disk files periodically get mergedDisk files periodically get merged

Range ServerRange Server Manages ranges of table dataManages ranges of table data CellCache: In-memory map containing recent updatesCellCache: In-memory map containing recent updates CellStore: On-disk (DFS) file containing “compacted” cell CellStore: On-disk (DFS) file containing “compacted” cell

cachecache

Range Server: CellStoreRange Server: CellStore

Sequence of 65K Sequence of 65K blocks of compressed blocks of compressed key/value pairskey/value pairs

CompressionCompression Cell Store blocks are compressedCell Store blocks are compressed Commit Log updates are compressedCommit Log updates are compressed Supported Compression SchemesSupported Compression Schemes

zlib (--best and --fast)zlib (--best and --fast) lzolzo quicklzquicklz bmzbmz nonenone

Bloom FilterBloom Filter Probabilistic data structure associated with every Probabilistic data structure associated with every

CellStoreCellStore Indicates if key is Indicates if key is notnot present present

CachingCaching Block CacheBlock Cache

Caches CellStore blocksCaches CellStore blocks Blocks are cached uncompressedBlocks are cached uncompressed Dynamically adjusted size based on workloadDynamically adjusted size based on workload

Query CacheQuery Cache Caches query resultsCaches query results

Dynamic Memory AdjustmentDynamic Memory Adjustment

Performance EvaluationPerformance Evaluation

Hypertable vs. HBaseHypertable vs. HBase

Test SetupTest Setup

Hypertable v0.9.3.2 (not yet released)Hypertable v0.9.3.2 (not yet released) HBase 0.20.3HBase 0.20.3 HDFS 0.20.2HDFS 0.20.2 10 machines10 machines

3 Hyperspace / Zookeeper replicas3 Hyperspace / Zookeeper replicas 1 Master / 4 Tablet Servers (5GB RAM)1 Master / 4 Tablet Servers (5GB RAM) 1 Test Dispatcher / 4 Test Clients1 Test Dispatcher / 4 Test Clients

Machine profileMachine profile 1 X 1.8 GHz Dual-core Opteron1 X 1.8 GHz Dual-core Opteron 10 GB RAM10 GB RAM 3 X 250 GB SATA drives3 X 250 GB SATA drives

Random Write / Sequential ReadRandom Write / Sequential Read

Random ReadRandom Read

Project ResourcesProject Resources

Twitter: hypertableTwitter: hypertable www.hypertable.orgwww.hypertable.org

Professional SupportProfessional Support