Documentation 8.0
Aqua Data Studio 8.0
Supported RDBMS Servers
1. Installation
    1.1 Minimum Requirements
    1.2 Installing Aqua Data Studio in Windows OS
    1.3 Installing Aqua Data Studio in Linux OS
    1.4 Installing Aqua Data Studio in Mac OS
    1.5 Launcher & Memory Configuration
    1.6 Interface Language, Fonts & Character sets
    1.7 Charts and OpenGL/JOGL Configuration
    1.8 Application Logs & Support Information
    1.9 Configuration & Connection files
2. Registering a Database Server
    2.1 Oracle
    2.2 Oracle OCI
    2.3 DB2 iSeries
    2.4 DB2 LUW
    2.5 DB2 zOS
    2.6 MS SQL Server
    2.7 Sybase ASE
    2.8 Sybase Anywhere
    2.9 Sybase IQ
    2.10 Informix
    2.11 Teradata
    2.12 Aster nCluster
    2.13 MySQL
    2.14 PostgreSQL
    2.15 Apache Derby
    2.16 Generic JDBC
    2.17 Generic ODBC
3. JDBC Driver Configuration
    3.1 Oracle 8i JDBC Drivers
    3.2 Oracle 9i JDBC Drivers
    3.3 Oracle 10g JDBC Drivers
    3.4 Oracle 11g JDBC Drivers
    3.5 DB2 iSeries JDBC Drivers
    3.6 DB2 z/OS JDBC Drivers
    3.7 DB2 LUW 7.2 JDBC Drivers
    3.8 DB2 LUW 8.1 and DB2 UDB 8.2
    3.9 DB2 LUW 9.0 and DB2 UDB 9.5
    3.10 SQL Server JDBC Drivers
    3.11 Sybase ASE JDBC Drivers
    3.12 Sybase Anywhere JDBC Drivers
    3.13 Sybase IQ JDBC Drivers
    3.14 Informix JDBC Drivers
    3.15 Teradata JDBC Drivers
    3.16 Aster nCluster Drivers
    3.17 PostgreSQL JDBC Drivers
    3.18 MySQL JDBC Drivers
    3.19 Apache Derby JDBC Drivers
    3.20 SQLite JDBC Drivers
    3.21 Firebird JDBC Drivers
4. Workspace and Docking Framework
    4.1 Menus and Toolbar
    4.2 Shortcuts Toolbar
    4.3 Schema Browser
    4.4 Scripts Browser
    4.5 Details View
5. Query Analyzer - SQL Tool in ADS
    5.1 Invoking the Query Analyzer (CTRL+Q)
    5.2 Using the Query Analyzer
    5.3 Query Analyzer and its Environment
    5.4 Server Side Comments
    5.5 Parameterized Scripts
    5.6 Displaying Results of Queries
    5.7 Saving Query Results
    5.8 Tips and Tricks
    5.9. SQL Automation
        5.9.1 Insert, Update, Select
        5.9.2 Introduce Columns and Value Stubs
        5.9.3 Morph to Delimited List
        5.9.4 Formatting Statements
        5.9.5 Auto Completion
        5.9.6 Aqua Commands
    5.10. Charting Grids and Pivot Grids
        5.10.1 Working with Grids and Pivot Grids
        5.10.2 Working with Enhanced Charts
        5.10.3 Scripting Charts
        5.10.4 Chart Options
        5.10.5 Function Series
    5.11. Visual Explain Plan
        5.11.1 Using Explain Diagrams
        5.11.2 Sample Query Tuning Demo
6. SQL History (CTRL+ ALT+H)
7. Query Builder Tool in ADS
    7.1 Building Queries
    7.2 Workspace Reference
8. GUI Tools for Database Objects
    8.1 Creating Databases
    8.2 Creating Tables
    8.3 Creating Constraints
    8.4 Creating Indexes
    8.5 Creating Views & Triggers
    8.6 Creating Aliases & Synonyms
    8.7 Creating Storage Objects
    8.8 Multi Scripting Objects
9. Tools and Features
    9.1 How to Import Data using ADS
    9.2 How to Export Data using ADS
    9.3 Generate SQL Scripts using ADS
    9.4 Table Data Editor
    9.5 Server Script Generator
    9.6 Using Object Search in ADS
    9.7 Comparing two Database Schemas
    9.8 Using the Visual Explain White Board
    9.9 Using the Execution Monitor
    9.10 Generating ER Diagrams
10. Procedure, Function & Package Editor
11. SQL Debugger
    11.1.1 Oracle Debugger
    11.1.2 DB2 Debugger
    11.1.3 MS SQL Debugger
    11.1.4 Sybase Debugger
12. ER Modeler in ADS
    12.1 Notation and Normalization
    12.2 Creating Tables
    12.3 Creating Indexes
    12.4 Creating Constraints
    12.5 Creating Relationships & Subcategories
    12.6 Adding Notes and Regions
    12.7 Saving and Exporting an ER Model
    12.8 Forward Engineering
    12.9 Reverse Engineering
    12.10 ER Modeler Demo
    12.11 Converting ER Models DB to DB
13. Version Control in ADS
    13.1 Using a Subversion Repository
    13.2 Using a CVS Repository
    13.3 File Search in Version Control
14. Database Administrator Tools
    14.1 ORACLE DBA Tools
        14.1.1 Server Statistics
         14.1.2 Rollback Manager
         14.1.3 Log Manager
         14.1.4 Session Manager
         14.1.5 Instance Manager
         14.1.6 Storage Manager
         14.1.7 Security Manager
         14.1.8 SGA Manager
    14.2 SQL SERVER DBA Tools
        14.2.1 Instance Manager
        14.2.2 Session Manager
        14.2.3 Security Manager
        14.2.4 Storage Manager
        14.2.5 SQL Agent Manager
    14.3 SYBASE DBA Tools
        14.3.1 Instance Manager
        14.3.2 Session Manager
        14.3.3 Security Manager
        14.3.4 Storage Manager
    14.4 MySQL DBA Tools
        14.4.1 Instance Manager
        14.4.2 Session Manager
        14.4.3 Storage Manager
        14.4.4 Security Manager
    14.5 DB2 for LUW DBA Tools
        14.5.1 Instance Manager
        14.5.2 Session Manager
        14.5.3 Storage Manager
        14.5.4 Security Manager
15. Compare Tools in ADS
    15.1 File Compare
    15.2 Results Compare
    15.3 Directory Compare
    15.4 Tab Compare
    15.5 Schema Compare
    15.6 Copy History Compare
16. Editors & Viewers
17. Aqua Data Studio OPTIONS
    17.1 General Options
    17.2 Editor Options
    17.3 Compare and Results Options
    17.4 Query Analyzer Options
    17.5 Scripts and Results Options
    17.6 Visual Explain Options
    17.7 Formatter Options
    17.8 Permissions and Registration Options
    17.9 Key Mapping Options and Key Assist Tool
    17.10 Command line

9.1 How to Import Data using ADS

The Import Data Tool allows data of different formats to be imported and inserted into databases, tables, objects and files. The following steps describe how to use the Import Data Tool.

1. Select Tools->Import Data from the Menu bar. This will prompt you to choose a server in which to import data. Navigate and select your server and click ok. This will bring up the Import dialog. It is also possible to right click within the schema browser and select Tools->Import Data to launch the Import Tool.

2. The first tab in the Import Data dialog window is the General Tab. Browse and select the file to import. Once the file is selected a sample of the file will be displayed in the bottom grid to indicate how it will form columns on import. Then, select the encoding and platform the file is formatted in. The sample columns will be refreshed as the options are changed. Select whether the file is delimited or has fixed width columns. If the file has fixed width columns, type the widths of columns separated by commas (eg: 15,25,35,60 ). While typing the column widths the sample data will not change, so make sure to click on the Fixed Width radio box to refresh. Select whether the first row in the file contains the column names to help the import tool map to the table. Last, select the quote identifier for data values. Make sure the sample data being displayed is formatted correctly before proceeding, then click next.

3. In the Format Tab, select the database, schema and table in which to import the data. To import into a new table, click on the "..." button which will open a Create Table dialog (see the Create Tables page for more) with the columns defined in the sample file. If needed change the names and datatypes of the columns in the table and then click ok. At this point, it is possible import into the newly created table. If the sample file contains the column names of the values, Aqua Data Studio will make an attempt at matching the column names of the import file to the names of the columns of the table. It is possible to reorder the column mapping by changing the Position column value to match the column number in the sample file, or remove the position value to exclude the column from being imported. Once all columns are mapped, click next.

4. In the Options Tab begin by selecting whether "(null)" text values are to be converted to NULL values. Then, select the format of the dates & time. Date and time values will be formatted in the text file to be imported into date/time columns. If a date string is to be imported into a VARCHAR column then the format does not apply. There is an option to import directly into the database, or generate an SQL file with INSERT statements to import into the database. A sample of the file's values are provided below for configuring the date/time formats. When ready, click the Next button to import the data. If the Import Tool is being used to generate a script file for use in Aqua Data Studio's Query Analyzer, it is strongly suggested that the statement separator "GO" be selected.

5. Once the Status Tab takes focus, the import has begun. It is possible to cancel the import at any time by clicking on the cancel button at the bottom of the dialog. If any errors or warnings occur, they will be displayed in the message text window.

Date and time formats are specified by date and time pattern strings. Within date and time pattern strings, unquoted letters from ’A’ to ’Z’ and from ’a’ to ’z’ are interpreted as pattern letters representing the components of a date or time string. Text can be quoted using single quotes (’) to avoid interpretation. "’’" represents a single quote. All other characters are not interpreted; they’re simply copied into the output string during formatting or matched against the input string during parsing.

Letter Date or Time Component Presentation Examples
G Era designator Text AD
y Year Year 1996; 96
M Month in year Month July; Jul; 07
w Week in year Number 27
W Week in month Number 2
D Day in year Number 189
d Day in month Number 10
F Day of week in month Number 2
E Day in week Text Tuesday; Tue
a Am/pm marker Text PM
H Hour in day (0-23) Number 0
k Hour in day (1-24) Number 24
K Hour in am/pm (0-11) Number 0
h Hour in am/pm (1-12) Number 12
m Minute in hour Number 30
s Second in minute Number 55
S Millisecond Number 978
z Time zone General time zone Pacific Standard Time; PST; GMT-08:00
Z Time zone RFC 822 time zone -0800

The following examples show how date and time patterns are interpreted in the U.S. locale. The given date and time are 2001-07-04 12:08:56 local time in the U.S. Pacific Time time zone.

Date and Time Pattern Result
"yyyy.MM.dd G ’at’ HH:mm:ss z" 2001.07.04 AD at 12:08:56 PDT
"EEE, MMM d, ’’yy" Wed, Jul 4, ’01
"h:mm a" 12:08 PM
"hh ’o’’clock’ a, zzzz" 12 o’clock PM, Pacific Daylight Time
"K:mm a, z" 0:08 PM, PDT
"yyyyy.MMMMM.dd GGG hh:mm aaa" 02001.July.04 AD 12:08 PM
"EEE, d MMM yyyy HH:mm:ss Z" Wed, 4 Jul 2001 12:08:56 -0700
"yyMMddHHmmssZ" 010704120856-0700