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Toad Data Modeler 7.3 - User Guide

Introduction User Interface Models and Model Objects
Physical Data Model
Entity Relationship Diagram Objects Basic Database Design Advanced Database Design
Universal Data Model Logical Data Model Working with Model Objects
Features and Tools
Application Variables Export/Import DDL Script Generation Graphics Model Actions Print Create New Project Reports Reverse Engineering Scripting and Customization About Templates Tips and Tricks Toad for Oracle Integration Toad Intelligence Central (TIC) Integration Tools Version Control
Options and Configuration Databases
Amazon Redshift 1.0 IBM DB2 LUW 9.5 IBM DB2 LUW 9.7 IBM DB2 LUW 10.1 IBM DB2 LUW 10.5 IBM DB2 LUW 11.1 IBM DB2 z/OS 10 IBM DB2 z/OS 11 Greenplum 4.1 Greenplum 4.2 Ingres 9.3 Ingres 10.0 EDB Postgres Advanced Server 10 Microsoft Access 2007/2010 Microsoft Azure SQL Database V12 Microsoft SQL Server 2005 Microsoft SQL Server 2008 Microsoft SQL Server 2012 Microsoft SQL Server 2014 Microsoft SQL Server 2016 Microsoft SQL Server 2017 Microsoft SQL Server 2019 MySQL 5.0 MySQL 5.1 MySQL 5.5 MySQL 5.6 MySQL 5.7 MySQL 8.0 Oracle 10g Oracle 11g Release 1 Oracle 11g Release 2 Oracle 12c Release 1 Oracle 12c Release 2 Oracle 18c Oracle 19c PostgreSQL 9.0 PostgreSQL 9.1 PostgreSQL 9.2 PostgreSQL 9.3 PostgreSQL 9.4 PostgreSQL 9.5 PostgreSQL 10 PostgreSQL 11 PostgreSQL 12 SQLite 3.7 Sybase ASE 15.5 Sybase ASE 15.7 SAP ASE 16.0 Sybase IQ 15.2 Sybase SQL Anywhere 11 SAP SQL Anywhere 17 Teradata 13 Vertica Database 8.0
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Reverse Engineering

Available Data Providers are:

  • Native Connection
  • Connection via ADO
  • Connection via ODBC

Native Connection:

Connection via ADO:

Connection via ODBC:

 

Script Generation

IBM DB2 LUW 10.5

Entity

 

Organize by Row Using Insert Time, Organize by Row Using Dimensionsand Organize by Column options added.

Example:

CREATE TABLE p_tab4 (a varchar(20), b char(10), c integer) organize by dimensions (b,c)

CREATE TABLE p_tab11 (a varchar(20), b char(10), c integer) organize by insert time

 

CREATE TABLE p_tab5 (a varchar(20), b char(10), c integer) organize by row

CREATE TABLE p_tab6 (a varchar(20), b char(10), c integer) organize by row using DIMENSIONS (b)

CREATE TABLE p_tab7 (a varchar(20), b char(10), c integer) organize by row using insert time

 

CREATE TABLE STAFF (

ID SMALLINT NOT NULL,

NAME VARCHAR(9),

DEPT SMALLINT)

ORGANIZE BY COLUMN;

 

  • New option to set parameters OCTETS/CODEUNITS16/CODEUNITS32 for the following Data Types:
    • CHAR, VARCHAR, CLOB allow OCTETS/CODEUNITS32
    • GRAPHIC, VARGRAPHIC, DBCLOB allow CODEUNITS16/CODEUNITS32

    Note: The attribute length must be always set!

    Example:

    CREATE TABLE A_TEST

    (

    a integer,

    b char,

    c char(21),

    d graphic,

    e graphic(12),

    f graphic (12 CODEUNITS16),

    g char(1 BYTE),

    h char (20 OCTETS)

    )

    Index

    • INDEX INCLUDE NULL KEYS / EXCLUDE NULL KEYS



      Example:

      CREATE TABLE P_TAB20 (A char, B char, C char)



      CREATE INDEX ix0 ON P_TAB20 (C) EXCLUDE NULL KEYS

      CREATE INDEX ix11 ON P_TAB20 (C) INCLUDE NULL KEYS
    • XML Index Specifications allows parameter OCTETS/CODEUNITS32



      Example:

      CREATE TABLE TEST_C (A INTEGER, B XML)



      CREATE UNIQUE INDEX MYIDX2 ON TEST_C(B)

      GENERATE KEY USING XMLPATTERN '/book/title'

      AS SQL VARCHAR(20 OCTETS)

    Type

    • New option to set parameters of data types
      • CHAR, VARCHAR, CLOB allow OCTETS/CODEUNITS32
      • GRAPHIC, VARGRAPHIC, DBCLOB allow CODEUNITS16/CODEUNITS32

      Example:

      CREATE TYPE dict3 AS Char(20 OCTETS) WITH COMPARISONS

      CREATE TYPE dict5 AS GRAPHIC(20 CODEUNITS16)

       

      CREATE TYPE arr7 AS GRAPHIC(1 CODEUNITS16) ARRAY[VARCHAR(8 OCTETS)]

    • Reverse Engineering

    Available Data Providers are:

    • Native Connection
    • Connection via ADO
    • Connection via ODBC

    Native Connection:

    Connection via ADO:

    Connection via ODBC:

     

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