db4o Teching Software-Engineering Great stuff! 20 years with Relational Databases PostgreSQL, SQLite, Oracle...
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1 select fun, profit from real_world where rational = false Teching Software-Engineering 20 years with Relational Databases PostgreSQL, SQLite, Oracle... Great stuff! db4o
2 Reallygreat stuff! Sorry. No books available! nosqlberlin.de nosqlfrankfurt.de nosql powerdays 2010 Oracle, IBM, etc. wollen auch non-relational Und nicht vergessen Einfache Installation / Handling + Fun!
3 Scale-out! Open-Source nur indirekte finanzielle Interessen Web-Scale = Historie Schema free Strange Loop Pattern: Design for Crash!
4 Replication fun? kommt noch nosqltapes.com! NoSQL is specialization!
5 NoSQL foundations: Paralellization Contracts Stonebraker A A giant step back! Imcompatible, missing features, not new, compile, analyze, optimize Starke Konkurrenz: Stratosphere (TUB), epic, SwissBox, etc. auf einer atmenden Cloud!
6 Eventually Consistent Consistency Models ACID Amazon Dynamo MySQL Replikation BASE Wilfried Springer NoSQL Rollercoaster CAP Theoreme Don t throw C away so easy! It s complex. Pick 2! ACID / Isolation Consistency Clients see equal data System is always on Availability Clients find replicas Klassiker NoSQL Partition Tolerance What you really have is: 1. Applicationerrors 2. Repetable DBMS errors 3. Unrepeatable DBMS errors 4. Operating System errors 5. Hardware failure in cluster 6. Network partition in local cluster 7. A disaster 8. WAN failure
7 6 = Network Partition is rare 3,4,5,6 is mostly a Single Node Algorithms can help! Consistent Hashing M:[0,5) R:[25,30) N:[5,10) HASH KNOTEN REPLIKAT 2 M N,O 8 N O,P 10 O P,Q 17 P Q,R 22 Q R,M 26 R M,N give up Prather than sacrificing C. Use VoltDB or NimbusDB Q:[20,25) W = 2*W R = 1*R P:[15,20) O:[10,15) ausfallsicher leicht erweiterbar gut verteilt / vnodes pessimistisches Locking?
8 Anna laufen A:1 L:1 Paul surfen P:1 L:1 surfen L:2 P:1 A:0 laufen A:1 L:1 P:0 => surfen P:2 A:1 L:2 Laura laufen L:1 surfen L:2 P:1 Google Protocol Buffers automatic RPC generation =>
9 Column Family DocumentDBs Key/ValueDBs Voldemort, Chordless, Scalaris, Dynamo / Dynomite GraphDBs andere db4o, Versant, Objectivity, Gemstone, Progress, Mark Logic, EMC Momentum, Tamino, GigaSpaces, Hazelcast, Terracotta, Wide Column Stores / Column Families + Skalierung = new node + Community + API - Replikation - Aufsetzen, Optimierung, Wartung + stressfreie SaaS Lösung + transparent scaling -UTF UTF-8 String - Daten liegen bei Amazon -kein tuning / config + Skalierung = new node + Replikation + Konfiguration (r, w) - Dokumentation -Abfragen -(storage (storage-conf.xml)
10 Document DBs Views + memory mapped, indexes, queries, marketing - durability, single instance design 1 URL Replikation 67 GB 2 Days off NoSQL Divergenz: CouchDB = NoNoSQL NoSQL Konvergenz: K/V-Stores Data Structure Server -> + sehr schnell > /sek + konfigurierbarer Disc sync + API für eigene Anbindung + einfache Replikation + hash, list, set, sorted set, messages + Installation UNIX: 38 sek Windows: 18 sek - noch nicht skalierbar (2.*)
11 Property Graph Neo4j, Sones, HyperGraphDB, InfiniteGraph, InfoGrid, Dex, VertexDB, Filament, OrientDB X DataModel, Query Methods, Languaes, License, Protocol DB Key / ValueDB + DocumentDB + ObjectDB + GraphDB +schneller
12 > 220 DBs Entscheider 10 Seiten Analyse Bitten um Hilfe Bauchentscheidung nichtfunktionales Requirement! NoSQL Consulting Graph Start-Ups 1. Data 2. Transactions 3. Performance etablierte Unternehmen 4. Queries 5. Architecture 6. other Non-Functional Requirements
13 Analyse your Data Domain-Data, Log-Data, Event-Data, Message-Data, critical Data, Business-Data, Meta-Data, temp Data, Session-Data, Geo Data, etc. Data- / Storage-Model: relational, column-o, doc-alike, graphs, objects, etc. What Types / Type-System? Data-Navigation, Data Amount, Data Komplexity (Deep XML?) ACID vs. BASE vs. Mixture? CAP decisions Performance Dimension Analysis Latency, Request behaviour, Throughput Scale-Up vs Scale-Out Query Requirements Typical queries, Tools, Ad-Hoc Queries, SQL / LINQ needed, Map/Reduce? NoSQL Lessons learned Distribution Architecture local, parallel, distributed / grid, service, cloud, mobile, p2p, Data Access Patterns read / write distribution, random / sequential, Access Design Patterns Non Functional Requirements: Replication, Refactoring Frequency, DB-Support, Qualification / simplicity, Company restrictions, DB diversity (allowed?), Security, Safety / Backup & Restore, Crash Resistance, Licence Think outside the MyOracleSql Box RAM + SSD rocks RethinkDB VoltDB Vertica GenieDB MonetDB Hadoop++... Lot s of >1 PT RAM DBs in CA! Queries in FPGA!
14 Tonnen cleverer hybrid Lösungen da! The world is diverse! Act accordingly! Excel! Relational & SQL! Map& Reduce! Document! XML. Coffee? Tupel! OO-Model! Graphs! Key-Value! N SQL DaaS=> best Mix! Polyglot Persistence This talk is supported by they want you for Cloud Computing!
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