CS317 File and Database Systems

Transcription

1 CS317 File and Database Systems Lecture 14 Network Client Access to DBMS November 15, 2017 Sam Siewert

2 Reminders PLEASE FILL OUT COURSE EVALUATIONS ON CANVAS [5 points bonus on Assignment #6] Assignment #6, DBMS Project of Your Interest POSTED Work with your Chosen Team Self-Directed Autonomy, Mastery, Purpose and Life-long Learning and Requires Some Research on Your Part Exam #2 Completes Material Week 15 Assignment #6 Assessed with Final Grading Sam Siewert 2

3 Interdisciplinary Nature of DBMS CS332 C++ & Java Final Lecture Week 14 SE300/310 OOA/OOD/OOP File Systems Operating Systems Programming Languages (SQL, OOP) MySQL Connectors C/C++, Java, Networking (Clusters, DR, Client/Server) DBMS? Big Data Analytics Security Storage (SAN, NAS, DAS) CS332 R Sam Siewert 3

4 Application Network Connection to DBMS MYSQL CONNECTORS Sam Siewert 4

5 Overview App Connectors For MySQL (other DBMS) Vendor DB Connectors 1. MS Visual Studio ActiveX Data Objects 2. Open DB Connector (Driver) 3. JDBC, Java API to DBC 4. Python API to DBC 5. C++ API to DBC 6. C API to DBC 7. C MySQL Client (Cmd/Data Transport) Sam Siewert 5

6 Driver Connection Methods ODBC (Open Database Connector Wider Range of RDBMS s) Send SQL Commands to a Driver (open, write, read, close) SQL Table Data (Rows, Columns) Returned Like any Driver, Accessible from any Programming Language (Just Like Opening a File from Any PL) Driver Marshalls Data To and From SQL Server and DB Language Specific API API Written in Language (E.g. C) Provides Connection, Command Interface and Data Marshalling Essentially Your Application Replaces SQL Client as an App Specific Client Sam Siewert 6

7 DB Connector Driver Connector from PL API SQL Commands and Data Marshalled over Network by the DB Connector Driver (Presentation/Session) L7 Application DBMS L6 ODBC Presentation ODBC Presentation L5 ODBC Session ODBC Session L4 Transport Transport L3 Network IP Router/Switch Network L2 Link Link L1 Physical Physical Internet Sam Siewert 7

8 DB Client API API for Command and Data Transport from PL API Send SQL Command as a Message over TCP/IP Table Data Returned in Messages (Marshalled) L7 Application DBMS L6 Conn: SQL Cmd, Data Conn: SQL Cmd, Data L5 Sockets API Sockets API L4 TCP TCP L3 IP IP Router/Switch IP L abgn - Wireless IEEE 802.3z - GigE L1 Radio Transmission Cat-6 UTP Internet Sam Siewert 8

9 Recall Simplest MySQL Default SELECT for Hello World at Interactive Command Prompt Remote Version? Sam Siewert 9

10 Remote SQL Query Marshall the Query [and/or Data] Over to MySQL Server Daemon Acts as Network Service for an Client Write Client in Some Procedural Programming Language Send the SQL over Transport Layer to Server Listening on Socket Port and IP Address, Results Returned on Virtual Connection, Connection Dropped Requires Client Code Library and Methods Sam Siewert 10

11 Building MySQL C Connector C API Client Manual Pages See my example conntest.c Can Run on localhost or over Network to Socket on IP Address Simple mysql> prompt written with C connector Sam Siewert 11

12 Example Run - Equivalent Sam Siewert 12

13 Connector Use Example Specify host, user and password prompt for PRClab use %./conntest -h localhost -p -u siewerts Enter password: SELECT statement succeeded SELECT statement succeeded information_schema BottAK DHv1_3 G1_InterviewAttire G2_Pokedex G3_DisneyMoviesOnDemand G4_GolfStat G4_WorkoutLog G5_EGR101Scoring G5_MissionPossible G#6_Mantrist PizzaDelievery bottedhv1 bottedhv2 testing 113 rows returned % Sam Siewert 13

14 Take-Away DBMS + Logical DB Design is Part of The Story The Other Part are the GUIs, Applications, Web Pages, and Mobile Applications that Access the Logical DB on a DBMS Server or Cluster Most Users Don t Want to Write SQL They Don t Even Want to Issue Stored Queries (Views) They Want Data from a GUI, Web Page, App with Data Sam Siewert 14

15 Summary Along with Connectors for Applications, This Completes CS317 Material Exam #2 on 12/4 and 12/6 Final Oral Exam on Saturday, Dec 9 th, 8AM Material We Ran Out of Time to Cover Distributed DBMS and Scaling Comprehensive Final Review (Final Oral Exam Instead) Sam Siewert 15