Datenbanksysteme II: Implementation of Database Systems. Ulf Leser



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Transcription:

Datenbanksysteme II: Implementation of Database Systems Ulf Leser

Slides in English, Vortrag auf Deutsch Much input from Prof. J-C Freytag, HU Berlin Prof. K-U Sattler, TU Illmenau Prof. A Kemper, Dr. Eickler, TU München Goya Prof Freytag / Prof Leser DBS-1 formale Voraussetzung? Was studieren Sie? Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 2

My first contact with database Father: I need to track my customers Name, address, profession, prior contracts Young Ulf: No problem ~1984: Turbo Pascal 4.0, Schneider CPC646, 512 KB main memory Load customers from disk into memory Repeat until Q (S)earch and list customers (E)dit customer (D)elete customer (I)nsert customer (Q)uit Write customers to disk Invoice: 250.- DM Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 3

Story part 2 Father: I need to track my offers Customers have projects and call for bids, father makes offers Many customers have many projects over time Young naïve Ulf: No problem Reuse existing architecture Load offers from disk into memory Repeat until Q (S)earch and list offers (E)dit offer (D)elete offer (I)nsert offer (Q)uit Write offers to disk Invoice: 400.- DM Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 4

Part 3 Disaster! No dynamic arrays at this time Max. 500 customers Max. 40 offers Max. 2 KB per offer Gives 20.000 times 2.000 = 40 MEGABYTE! App. size of hard disc No way to load and hold all data at startup Wrong architecture Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 5

Solution 1 Repeat until Q (E)dit offer Open file Read and write until record found Read, edit, and write record Read and write until EOF (D)elete offer (I)nsert offer (Q)uit Very slow Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 6

Scalability Quelle: G. Witterstein, Dissertation, 2005 Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 7

Solution 2 Someone should take care of finding, loading, storing data I want to concentrate on what to store Buy dbase IV Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 8

Lessons learned Scalability is an issue Works fine for small datasets, breaks down for large datasets Data is Information is Knowledge is essential If offers-file corrupted father goes out of business Which will affect me too When is comes to large volumes of data get a database and a good database programmer Think before you program Project 100% over budget (dbase IV license) Project 300% over time (6 months instead of 2) Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 9

Today s Database Systems Databases are essential parts of enterprise infrastructures More important than OS Long-running, expensive, essential investment Holds the most important business asset: information Database administrator is a profession Many programmers, but few good database developers/ admins One of the skills most demanded in industry RDMS became an often invisible piece of software So nützlich wie fließendes Wasser (G. Weikum, MPI Saarbrücken) Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 10

Importance DBs are behind almost every non-trivial piece of software Data needs to be stored Disk access is the main performance bottleneck Hence: Optimize disk access in the RDBMS Data is manipulated from many clients Concurrent access quickly screws up data Hence: Synchronize access through the RDBMS Data is used by many applications with different requirements No good to design app-specific optimal data structures Hence: Use application independent languages Systems crash Crashes cannot be avoided Hence: Secure most valuable asset in a centralized manner Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 11

History Prior to relational databases Network databases, hierarchical databases, COBOL Waves and hypes Relational databases since 1980th Object-oriented databases early 1990th XML databases early 2000 th Big data since 2008 Few big vendors survived Oracle, IBM DB2, Microsoft SQL Server Some niche players Open Source: MySQL, PostgreSQL, Ingres, SAP DB Data Warehousing: Teradata, Tandem Mobile databases: Sybase Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 12

Complexity A RDBMS is a very, very complex piece of software One code base Oracle9i Database Release 2 Documentation for Microsoft Windows Oracle9i Database Release 2 Documentation for 64-bit Windows Oracle9i Database Release 2 Documentation for Solaris Operating System (SPARC) Oracle9i Database Release 2 Documentation for AIX-Based Systems Oracle9i Database Release 2 Documentation for Compaq Tru64 UNIX Oracle9i Database Release 2 Documentation for HP 9000 Series HP-UX Oracle9i Database Release 2 Documentation for HP-UX Itanium Oracle9i Database Release 2 Documentation for hp OpenVMS Alpha Oracle9i Database Release 2 Documentation for IBM OS-390 (MVS) Oracle9i Database Release 2 Documentation for Linux x86-64 Oracle9i Database Release 2 Documentation for Linux x86 Oracle9i Database Release 2 Documentation for Linux Itanium Oracle9i Database Release 2 Documentation for IBM Power based Linux Oracle9i Database Release 2 Documentation for Linux/390 Oracle9i Database Release 2 Documentation for Fujitsu Siemens Computers BS2000/OSD Oracle9i Database Release 2 Documentation for Stratus Continuum 600 and 1200 Series Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 13

List of Books 1 Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 14

List of Books 2 Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 15

List of Books 3 Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 16

List of Books 4 Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 17

List of Books 5 Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 18

3 Tier Servlets/ EJB Presentation Upwards: OO Interface Application Server Downwards: SQL Application logic Business processes State Storage, Backup & Recovery Synchronization DBMS Database 1 Database 2 Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 19

SAP R/3: Enterprise Resource Planning WAN (Internet) LAN ONE central database server (Possibly clustered) Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 20

Making the difference Databases are not self-* Self-administrating, -adapting, -developing, -healing Work mostly in the background no GUI or dialogs Good database development requires intensive knowledge about the why & what & how Which index to use and where to place it? Which synchronization level? When use parallel servers? Optimization possibilities? Where to look if something goes wrong? Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 21

DBS2: Implementation of Database Systems Lecture 4 SWS Tuesday, 15 17, RUD26, 1 305 Wednesday, 11 13, RUD26, 1 305 Contact Ulf Leser Room: IV.401 Tel: (030) 2093 3902 Mail: leser (at) informatik.hu-berlin.de Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 22

Praktikum & Exams Praktikum by Andre Koschmieder Presence & commitment are necessary Implementation of file-/ buffer-/ index manager in C++ Two groups (?) Tuesday, 13-15, RUD 26, Room 1'308 Wednesday, 13-15, RUD 26, Room 1'308 Starts next week Examination 30 minutes, oral exam Dates will be set mid-january Admission: Passing the Praktikum Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 23

Slides Slides are available shortly after the lecture Please send me any errors Slides are No script No substitution for listening to the lecture No substitution for reading a book Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 24

Contents Introduction Overview and architecture Storage and access methods B*-Trees, Extensible hashing, index-sequential files Multidimensional indexing: Grid-files, kd-trees, R-Trees Query processing and optimization Physical operators Cost-based optimization Recovery Transactions and concurrency control Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 25

Überblick Naive Benutzer Fortgeschrittene Benutzer Anwendungs- Programmierer Datenbankadministratoren Anwendung Interaktive Anfrage Präcompiler Verwaltungswerkzeug DML-Compiler Anfragebearbeitung DDL-Compiler DBMS Query processing Mehrbenutzersynchr. Fehlerbehandlung Datenbankmanager Schemaverwaltung Storage & access Dateiverwaltung Logdateien Indexe Datenbasis Datenwörterbuch Hintergrundspeicher Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 26

5 Schichten Architektur Mengenorientierter Zugriff Satzorientierter Zugriff Interne Satzschnittstelle Systempufferschnittstelle Datenmodellebene Logischer Zugriff Speicherstrukturen Dateischnittstelle Pufferverwaltung Betriebssystem Anfrageübersetzung, Zugriffspfadwahl, Zugriffskontrolle, Integritätskontrolle Sortierung, Transaktionsverwaltung, Cursorverwaltung Record Manager, Sperrverwaltung, Log / Recovery Speichermanagement, Puffermanagement, Caching-Strategien Externspeicherverwaltung Geräteschnittstelle Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 27

Guests January: Dr. Martin Grund, HPI Potsdam: Column-based main memory database systems January: Dr. Mike Sips, GFZ Potsdam: Spatial index structures Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 28

Literature Primary Saake, Heuer, Sattler Datenbanken: Implementierungstechniken, mitp Verlag, 2005 (2. Auflage) Garcia-Molina, Ullman, Widom: Database System Implementation, Prentice Hall, 2000 Other Kemper, Eickel: Datenbanksysteme Eine Einführung, Oldenburg, 5. Auflage 2004 Härder, Rahm: Datenbanksysteme. Konzepte und Techniken der Implementierung, Springer, 2. Auflage 2001 R. Elmasri und S.B. Navathe: Fundamentals of Database Systems, Benjamin Cummings Deutsche Übersetzung: Grundlagen von Datenbanksystemen, Pearson, 2002 Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 29

Datenbanken@Informatik Datenbanken 1: Grundlagen (BA) Datenbanken 2: Implementierung (MS) Data Warehousing und Data Mining (MS) Informationsintegration (MS) Inkl. Verteilter Anfrageoptimierung Informationssysteme Neue Konzepte und Techniken für Datenbanksysteme Techniken und Konzepte zum Schutz der Privatsphäre Text Analytics Schwerpunkt im Master Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 30

WBI Bachelor Algorithmen und Datenstrukturen (9SP) Grundlagen der Bioinformatik (5SP) Proseminar Maschinelles Lernen (3SP) Master/Diplom Data Warehousing und Data Mining (8SP) Algorithmische Bioinformatik (9SP) Informationsintegration (8SP) Text Analytics (8SP) Implementierung von Datenbanken (8SP) Grundlagen des Semantik Web (Wandelt, 5SP) Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 31

Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 32

Fragen? Ulf Leser: Implementation of Database Systems, Winter Semester 2012/2013 33