New Query ETL Dashboard Bisualize History Sandbox Joins · PDF fileNew Query ETL Dashboard...

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New Query ETL Dashboard Bisualize History Sandbox Joins DBA

System: Netezza Database: SQL_Class Execute

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Messages Results1

Drag a column here to group by that column

SELECT Employee_No

,Dept_No

,Last_Name

,First_Name

,Salary

FROM SQL_CLASS.Employee_Table ;

Query

Window

Results

Window

Employee_No Dept_No Last_Name First_Name Salary

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Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

____________ ________ _________ __________ _______

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Systems

Tree




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Messages Results1


Nexus allows you to query many different systems

simultaneously. Notice the beautiful Systems Tree

that lists the systems in the enterprise. Mainframe

systems, Data Warehouse systems, OLTP systems,

Appliances and even an internal Sandbox.




NetezzaT-

XSystems Query1 * X

SQL_Class

Tables

Addresses+

-

-

Claims+

Course_Table+

Customer_Table+

Department_Table+

Employee_Table+

Order_Table+

Providers+

Views+

Macros+

Procedures+

Triggers+

Join Indexes+

Functions+

Each Systems Tree is designed to look

exactly like the database vendor expects

This is an example of a Netezza System Tree,

which has Tables, Views, Macros, Procedures,

Triggers, Join Indexes and Functions




NetezzaT-

XSystems Query1 * X

SQL_Class

Tables

Addresses+

-

-

Claims+

Course_Table+

Customer_Table+

Department_Table+

Employee_Table+

Order_Table+

Providers+

The columns for each table are listed with their data types.

Blue indicates the Distribution Key (Employee_No). Drag

and Drop columns inside Nexus if you don’t want to type.

Columns-

Employee_No (Integer)

Dept_No (Smallint)

Last_Name (Char(20))

First_Name (Varchar(20))

Salary (Decimal(8,2))



NetezzaT-

XSystems Query1 * X

SQL_Class

Tables

Addresses+

-

-

Claims+

Course_Table+

Customer_Table+

Department_Table+

Employee_Table+

Order_Table+

Providers+

Views+

Macros+

Procedures+

Triggers+

Join Indexes+

Functions+

Connect tree to server

Disconnect tree from server

View Tree

Modify data source connection

Remove data source connection

Set as default data source connection

SmartCompress databases

SmartReplica databases

SmartSync data

SmartSync Objects

SmartScript

AIDBA Management

Dashboard

Refresh data source connection

Properties

How to Customize your System Tree View

Right Click on

the system Icon

Hierarchy

No Hierarchy

My Databases

All Databases and Users

All Databases and Users with Perm Space

All Databases

All Users

Edit My Databases

Edit My Databases

Add

Remove Please enter the database or user

SQL_Class




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Messages Results1


New Query

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Greenplum The New Query button will allow you

to query different systems simultaneously.

The next slide will show what happens

when we query them all simultaneously!




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Messages Results1


SELECT Employee_No

,Dept_No

,Last_Name

,First_Name

,Salary


Each Query

(and answer set)

is placed in a colored

tab that identifies the

system


1324657

2000000

1333454

1232578

1121334

2312225

2312225

2341218

200

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Coffing

Jones

Smith

Chambers

Strickling

Larkins

Reilly

Smythe

Billy

Squiggy

John

Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

____________ ________ _________ __________ _______

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Systems Query 6 * xQuery 1 * x xQuery 2 * xQuery 3 * xQuery 4 * xQuery 5 *

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Columns Answer Set AnalyticsSort Joins Where SQLObjects Metadata

The Super Join Builder has 9 Tabs that are all there for your single query. Manipulate through

the tabs and make changes to your query. The Super Join Builder does amazing things!

XSystems Query1 * X

I

Introducing the new Nexus Super Join Builder

All 9 Tabs work together to build your query or join.

Shows the

Tables/Views

In your

query

Use this to

manipulate

the

columns

Use this to

ORDER BY

Change the

Joins here

Add/Change

the WHERE

clause

See the SQL

Nexus has

generated

Turns Red

when your

Answer Set

arrives

Shows the

Metadata for

a Table/View

Build OLAP

commands

here

You just Drag and Drop (Tables or Views) and then

Point and Click (through the tabs) and your query is built!

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+ Department


Add Join Add and Remember Join

Drag two tables inside Nexus and define the Join Columns. Click on “Add and Remember Join”

and its in the Join Menu permanently. Check out the cool Join Menu on the next page.

Custom Joins Join Type INNER

ClaimsAddresses

XSystems Query1 * X

I

Define your Joins and tell Nexus to “Add and Remember Me”

Nexus knows what Tables Join together

How would you like to NEVER write another Join again? The Nexus makes that

possible with the Nexus Super Join Builder. Just Right Click on a table and the menu

tells you what other table(s) are eligible in the join. Then when you click on the next

table Nexus writes the Join SQL automatically.

Left click on the Add Join

and Nexus shows you

what other tables can join

in a beautiful menu.

Columns Answer Set Metadata AnalyticsSort Joins Where SQL

Add Join …

Providers

Services

Subscribers

Claims

Addresses

Objects

This tab displays the objects in your Query

Watch what happens on the next slide when

we click on the menu to Join our Claims table

to both the Subscribers table and the

Addresses Table.

Nexus Presents Tables and their columns in Color

All Three tables we wish to join appear now with their columns and data types. Each

table is a different color so when users utilize the other Tabs they see the columns in

color to indicate which table there from. The Join SQL is already built, but we can use

the other tabs to customize the SQL. The next picture will show the SQL already built!

Claims Subscribers Addresses

The tables in our join are color coded. You will see why soon!

Columns Answer Set Metadata AnalyticsSort Joins Where SQLObjects


Nexus Builds your SQL Automagically

By clicking on the SQL Tab you can see the SQL generated by the Nexus. All we did

was click on the Objects Tab to select the tables and then we clicked on the columns we

wanted on our report. In seconds the Nexus built this beautiful SQL.

SELECT cla.Claim_Id, cla.Claim_Date, cla.Subscriber_No,

cla.Claim_Amt, cla.Provider_No, cla.Claim_Service,

sub.Last_Name, sub.First_Name,

“add”.Street, “add”.City, “add”.”State”, “add”.Zip

FROM SQL_Class.Claims cla

INNER JOIN

SQL_Class.Subscribers sub

ON cla.Subscriber_No = sub.Subscriber_No

AND cla.Member_No = sub.Member_No

INNER JOIN

SQL_Class.Addresses “add”

ON sub.Subscriber_No = “add”.Subscriber_No ;


This tab displays the SQL created by Nexus

Nexus can Cube a Table and Join to Everything Possible

When you click on the left side of a table in the Objects Tab and select CUBE the

Nexus will create the SQL to join every table in the entire relationship together. Watch

what happens on the next slide.

Left click on the Left Side

of a Table or View and press

Create Cube with Columns


Claims

Objects


Create Cube


Add Join

Check out the

next slide to see

what happens next.

Nexus can Cube a Table and Join to Everything Possible

After hitting Cube with all Columns all tables in the relationship are joined.


Add Join

Claims

Add Join

Subscribers

Add Join

Addresses

Add Join

Providers

Add Join

Services All five tables

have now been

joined by Nexus

Check out the

SQL tab on the

next slide

The Cube SQL created Automagically

SELECT cla.Claim_Id, cla.Claim_Date, cla.Subscriber_No, cla.Member_No,


sub.Last_Name, sub.First_Name, sub.Gender, sub.SSN,

sub.Member_No, sub.Subscriber_No,

"add".Street, "add".City, "add"."State", "add".Zip, "add".AreaCode, "add".Phone,

"add".Subscriber_No,

pro.Provider_Code, pro.Provider_Name, pro.P_Address, pro.P_City,

pro.P_State, pro.P_Zip, pro.P_Error_Rate,

ser.Service_Code, ser.Service_Desc, ser.Service_Pay

FROM SQL_CLASS.CLAIMS cla

INNER JOIN SQL_CLASS.SUBSCRIBERS sub



INNER JOIN SQL_CLASS.ADDRESSES "add"

ON sub.Subscriber_No = "add".Subscriber_No

INNER JOIN SQL_CLASS.PROVIDERS pro

ON cla.Provider_No = pro.Provider_Code

INNER JOIN SQL_CLASS.SERVICES ser

ON cla.Claim_Service = ser.Service_Code;


This SQL created by hitting

CREATE Cube with Columns

Manipulate the Columns with the Columns Tab

Rearrange the columns in the SELECT list by clicking and dragging. Control Click

highlights multiple columns and Shift Click highlights an entire range of columns.

Claim_Id Claim_Date Subscriber_No Member_No Claim_Amt

Provider_No Claim_Service Last_Name First_Name Street

City State Zip

Gender SSN Member_No Subscriber_No

AreaCode Phone Subscriber_No

Columns on Report

Columns NOT on Report

Drag columns here to remove them from the report


This tab displays the Columns in your Query and those columns NOT selected

Why are there different colors?

So you can tell which table each

column comes from! Ingenious!

Single Click and ORDER BY using the Sort Tab

Double-Click or drag any column to sort by that column(s) in ASC or DESC mode.


Claim_Id Claim_Date Subscriber_No Member_No Claim_Amt

Provider_No Claim_Service Last_Name First_Name Street

City State Zip

Gender SSN Member_No Subscriber_No

AreaCode Phone Subscriber_No

Columns on Report

Columns NOT on Report

Column Name Sort Type

Claim_Id ASC Double Click on a column

and it will ORDER BY that

column(s) in your SQL.Street DESC

Using the Joins Tab of Nexus

The Joins Tab shows all Join Conditions and allows you to change them to Outer Joins.

Join Type Join Objects

INNER

SQL_Class.Claims cla

JOINS to SQL_Class.Subscribers sub




JOINS to SQL_Class.Addresses add


AND sub.Subscriber_No = add.Subscriber_No

INNER

INNER

LEFT

RIGHT

FULL

We just changed this

portion of the join to a

RIGHT OUTER JOIN.


This tab displays how tables are being Joined

The SQL Tab reflects the changes we make in all other Tabs

This is the SQL generated after we changed our Join to a Right Outer Join in the Joins

Tab and in the Sort Tab dragged columns Claim_Id and Street for our ORDER BY.


Execute Send SQL to Nexus

Objects

SELECT cla.Claim_Id, cla.Claim_Date, cla.Subscriber_No,


sub.Last_Name, sub.First_Name,

“add”.Street, “add”.City, “add”.”State”, “add”.Zip

FROM SQL_Class.Claims cla

INNER JOIN




RIGHT OUTER JOIN

SQL_Class.Addresses “add”

ON sub.Subscriber_No = “add”.Subscriber_No

ORDER BY cla.Claim_Id ASC, “add”.Street DESC;




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XSystems Query1 * X

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Watch what happens when we go

to the Where Tab.

Employee_Table

Add Join

Select *

Employee_No integer

First_Name Varchar(12)

Last_Name Char(20)

Dept_No Smallint

Salary Decimal(8,2)

WHERE Tab shows Tables Indexes


Where

WHERE Employee_No = < value >

AND

OR

IN

BETWEEN

LIKE

NOT IN

= <>

>

Click on any column or index and it

goes in the WHERE clause. Notice

here we clicked on Employee_No.

Employee_No

Columns Used in Report

First_Name Last_Name

Dept_No Salary

Unique Distribution Key

Employee_No

Unique Secondary Index

Last_Name First_Name

Non-Unique Secondary Index

Last_Name Dept_No Salary

Indexes





OLAP Moving

Column Sorting Partitioning Window

Daily_Sales Product_ID ASC

Sale_Date ASC

Product_ID 3


Product_ID Sale_Date Daily_Sales

OLAP

Function

With

Partitioning

SELECT * SELECT *

CSUM CSUM

MSUM MSUM

MAVG MAVG

MDIFF MDIFF

COUNT COUNT

RANK GROUPING SETSOLAP

Drag the Columns to their above designations and then Check

(right) on which OLAP functions you desire.





OLAP

Column Sorting Partitioning

Daily_Sales Product_ID DESC Product_ID



OLAP

Function

With

Partitioning

RANK RANK



(right) on which OLAP functions you desire.

Turn the Page and check

out the Answer Set

The Answer Set Tab shows the Results

To get here we put the Sales_Table inside the Super Join Builder. Then we selected the

columns we wanted and then went to the Analytics Tab. There we built our RANK

report and pressed Execute. Then (above) we received the Answer Set.



Objects

Results1


This is the

Answer Set

from our

previous slide

that performed a

RANK

RANK

Product_ID Sale_Date Daily_Sales Sal.Daily_Sales

1000

3000

2000

1000

1000

2000

1000

2000

3000

2000

10/03/2000

09/28/2000

10/01/2000

10/04/2000

09/29/2000

09/30/2000

09/28/2000

09/29/2000

09/30/2000

10/03/2000

1

2

3

4

5

6

7

8

9

10

__________ __________ __________ _____________

64300.00

61301.77

54850.29

54553.10

54500.22

49850.03

48850.40

48000.00

43868.86

43200.18

1

2

3

4

5

6

7

8

9

10





Product Date Column Sum

Product_ID

Columns


Group By Functions

SELECT *



(right) on which Grouping Sets desire. Turn the Page and check

out how to Execute the queries

Sale_Date Daily_Sales

Date Extract

Year

Month

Grouping Sets

Rollup

Cubes


Product Date Column Sum

Product_ID

Columns


Group By Functions

SELECT *


Sale_Date Daily_Sales

Date Extract

Year

Month Grouping Sets

Rollup

Cubes

Execute

SQL

Grouping Sets

Rollup

Cube

Execute All


(right) on which Grouping Sets desire.

Just hit the EXECUTE button and your query(s) run

The next page will show you the Answer Sets


To get here we put the Sales_Table inside the Super Join Builder. Then we selected the

columns we wanted and then went to the Analytics Tab. There we built our RANK

report and pressed Execute. Then (above) we received the Answer Set.



Objects


This is Answer

Set # 1 from our

previous slide

that performed

Grouping Sets

Product_ID Mth Year Sum_Daily_Sales

3000

2000

1000

?

?

?

?

?

?

10

9

?

224587.82

306611.81

331204.72

443634.99

418769.36

862404.35

__________ _____ ____ ________________

?

?

?

?

?

2000

1

2

3

4

5

6

Results1 Results 2 Results 3




Objects


This is Answer

Set # 2 from our

previous slide

that performed

Group by Rollup


3000

3000

3000

3000

3000

2000

2000

2000

2000

2000

1000

1000

1000

1000

1000

?

10

10

9

9

?

10

10

9

9

?

10

10

9

9

?

?

84908.06

84908.06

139679.76

139679.76

224587.82

166872.90

166872.90

139738.91

139738.91

306611.81

191854.03

191854.03

139350.69

139350.69

331204.72

862404.35

__________ _____ ____ ________________

2000

?

2000

?

?

2000

?

2000

?

?

2000

?

2000

?

?

?

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16





Objects


This is Answer

Set # 3 from our

previous slide

that performed

Group by Cube


3000

3000

3000

3000

3000

3000

2000

2000

2000

2000

2000

2000

1000

1000

1000

1000

10

10

9

9

?

?

10

10

9

9

?

?

10

10

9

9

84908.06

84908.06

139679.76

139679.76

224587.82

224587.82

166872.90

166872.90

139738.91

139738.91

306611.81

306611.81

191854.03

191854.03

139350.69

139350.69

__________ _____ ____ ________________

2000

?

2000

?

2000

?

2000

?

2000

?

2000

?

2000

?

2000

?

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16


Entire result set not

displayed

The Metadata Tab shows Metadata



Objects

Subscriber_No

Member_no

Claim_service

Provider_no

Claims

Subscriber_no

Addresses Subscribers

Subscriber_No

Member_No

Service_Code

Services

Provider_Code

Providers

This is the

Logical Model

for the

Insurance Tables

The Metadata tab allows a company to create Metadata for each table or object. This

can be a word document, Power Point slide or whatever the company decides.

Nexus Makes a View look like a Table

Views in the Super Join Builder look like tables and can join to other views in a menu-

driven fashion. Views looking like tables is brilliant and quite beneficial.

Add Join …

Providers_V

Services_V

Subscribers_V

Claims_V

Addresses_V

Nexus allows views to join to other views


View

Nexus Joins Views to other Views in seconds

Views looking like tables is brilliant and quite beneficial. We can even join views to

other views in seconds and pick the columns we want on our report.


Claims_V Subscribers_V Addresses_V

With a few clicks of the mouse the SQL to

join these three views is complete

Nexus can Cube a View and Join to all other related Views

When you click on the left side of a View in the Objects Tab and select CUBE the

Nexus will create the SQL to join every View in the entire relationship together. Watch

what happens on the next slide.

Left click on the Left Side

of a View and select



Claims_V

Objects


Create Cube


Add Join

Check out the

next slide to see

what happens next.

Nexus Cubes Views in Seconds

After hitting Cube with all Columns all Views in the relationship are joined.


Add Join

Claims_V

Add Join

Subscribers_V

Add Join

Addresses_V

Add Join

Providers_V

Add Join

Services_V All five Views

have now been

joined by Nexus

The Cube SQL created on Views is done Automagically

SELECT cla.Claim_Id, cla.Claim_Date, cla.Subscriber_No, cla.Member_No,


sub.Last_Name, sub.First_Name, sub.Gender, sub.SSN,

sub.Member_No, sub.Subscriber_No,

"add".Street, "add".City, "add"."State", "add".Zip, "add".AreaCode, "add".Phone,

"add".Subscriber_No,

pro.Provider_Code, pro.Provider_Name, pro.P_Address, pro.P_City,

pro.P_State, pro.P_Zip, pro.P_Error_Rate,

ser.Service_Code, ser.Service_Desc, ser.Service_Pay

FROM SQL_CLASS.CLAIMS_V cla

INNER JOIN SQL_CLASS.SUBSCRIBERS_V sub



INNER JOIN SQL_CLASS.ADDRESSES_V "add"

ON sub.Subscriber_No = "add".Subscriber_No

INNER JOIN SQL_CLASS.PROVIDERS_V pro

ON cla.Provider_No = pro.Provider_Code

INNER JOIN SQL_CLASS.SERVICES_V ser

ON cla.Claim_Service = ser.Service_Code;


This SQL created by hitting

CREATE Cube with Columns

is seen here joining five views.

Views with the Underlying Indexes of the Base Tables

We have just placed a view called Employee_V inside the Super Join Builder. We have

selected all the columns. Now watch what happens when we go to the WHERE Tab.



Employee_V

Add Join

Select *

Emp_No integer

Lname char(20)

Fname Varchar(12)

Sal Decimal(8,2)

Dept Smallint

If we go to the WHERE Tab we

can see the underlying indexes.

Turn the page and see!

WHERE Tab shows Views Underlying Base Table Indexes


Emp_No


Fname Lname DeptSal

Unique Distribution Key

Emp_No

Unique Secondary Index

Lname Fname

Non-Unique Secondary Index

Lname Dept Sal

Where

WHERE Emp_No = < value >

AND

OR

IN

BETWEEN

LIKE

NOT IN

= <>

>

Click on any column or index and it

goes in the WHERE clause. Notice

here we clicked on Emp_No.

Indexes of the

underlying Base

Tables

After an Answer Set Returns you can do many things

After the Answer Set returns the Nexus allows you to manipulate the results further.

You can perform OLAP calculations, Rank and many more.



Objects

Results1


Options after

the Answer

Set Returns


1324657

2000000

1333454

1232578

1121334

2312225

2312225

2341218

200

?

200

100

400

300

400

10

Coffing

Jones

Smith

Chambers

Strickling

Larkins

Reilly

Smythe

Billy

Squiggy

John

Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

____________ ________ _________ __________ _______

1

2

3

4

5

6

7

8

OLAP

Rank

Pivot Result Set

Bisualize

Field Chooser

Export/Save as

Print Results

Set Grid Font

MSUM MSUM

After an Answer Set Returns Perform OLAP Calculations

We just performed OLAP on the answer set. Now the report comes (above in yellow),

but what is amazing is that all calculations were performed internally by Nexus.



1324657

2000000

1333454

1232578

1121334

2312225

2312225

2341218

200

?

200

100

400

300

400

10

Coffing

Jones

Smith

Chambers

Strickling

Larkins

Reilly

Smythe

Billy

Squiggy

John

Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

____________ ________ _________ __________ _______

1

2

3

4

5

6

7

8

OLAP Moving

Column Sorting Partitioning Window

Salary Dept_No ASC Dept_No 3

OLAP

Function

With

Partitioning

SELECT * SELECT *

CSUM CSUMUse Ctrl and Drag to move result grid column headers to OLAP Control

Results1 Report1


After an Answer Set Returns you can Graph and Chart

After the Answer Set returns the Nexus allows you to manipulate the results further.

You can use Bisualize to Graph and Chart your answer set dynamically.



Objects

Results1


Options after

the Answer

Set Returns


1324657

2000000

1333454

1232578

1121334

2312225

2312225

2341218

200

?

200

100

400

300

400

10

Coffing

Jones

Smith

Chambers

Strickling

Larkins

Reilly

Smythe

Billy

Squiggy

John

Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

____________ ________ _________ __________ _______

1

2

3

4

5

6

7

8

OLAP

Rank

Pivot Result Set

Bisualize

Field Chooser

Export/Save as

Print Results

Set Grid Font

Rows

Columns

Auto-Text

Encodings

Markin

Label

Pages

Color

Size

Find

Sale_Date

Measures

Product_ID

Daily_Sales

Values

Data

Filters

Level of Detail

Attributes

Measures

File Edit View Data Layout Help BisualizeExecute

Bisualize Builds Dynamic Charts

Pay attention to the next slide because we are

going to Drag and Drop the Attributes and

Measures to their proper places and our chart

will display beautifully!

Rows

Columns

Auto-Bar

Encodings

Markin

Label

Pages

Color

Size

Find

Sale_Date

Measures

Product_ID

Daily_Sales

Values

Data

Filters

Level of Detail

Attributes

Measures

File Edit View Data Layout Help Bisualize Builds Dynamic ChartsExecute

Sale_Date

Daily_Sales

Daily_Sales

Sale_Date

Daily_Sales

150K-

140K-

130K-

120K-

110K-

100K-

90K-

80K-

70K-

60K-

50K-

40K-

30K-

20K-

10K-

010/1/99 10/2/99 10/3/99 10/4/99 9/28/99 9/29/99 9/30/99

Sale_Date 10/2/1999

Daily_Sales $88,501.37

Saving an Answer Set in another Format

You can save an Answer Set directly to Excel or to many different formats.


Results1


Options after

the Answer

Set Returns


1324657

2000000

1333454

1232578

1121334

2312225

2312225

2341218

200

?

200

100

400

300

400

10

Coffing

Jones

Smith

Chambers

Strickling

Larkins

Reilly

Smythe

Billy

Squiggy

John

Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

____________ ________ _________ __________ _______

1

2

3

4

5

6

7

8

OLAP

Rank

Pivot Result Set

Bisualize

Field Chooser

Export/Save as

Print Results

Set Grid Font

Microsoft Excel (*.xlsx)

Microsoft Excel (97-2003) (*.xls)

Comma separated values (*.csv)

User delimited text (*.txt)

XML (*.xml)

Microsoft Access (*.mdb)

Export/Save As

Custom Joins With Nexus

1. Right-click on a table or view and Select “Super Join builder”.

2. Drag any table or view in the same system to the “Super Join Buidler”. The customer joins dialog will open.

3. Select the first set of columns you want to join on and then click the “down” arrow.

4. The join will be added. Repeat if you want to add additional join columns.

5. Click on the “Add and Remember Join” button and the join will be added to your User Defined Joins database.

6. You can actually create the model relationships by hand and then share them with your entire company's Nexus users. Just load your hand

modeled database. Right-click on Start and open “Window Explorer” %appdata%/Coffing Data Warehousing/Nexus Portal/Model.

7. Copy the UserDefinedJoins.sdf to your shared drive.

Users Who Want to Load the Model

User’s can either put the file in their %appdata%/Coffing Data Warehousing/Nexus Portal/Model

directory or to map to a different model directory they would do this.

1. Go to Tools > Options and go to “Join Builder” > “Models” in the tree.

2. Click on the folder icon next to open the folder dialog and select a new model store directory.

3. Click “OK”.

4. Go back into Tools > Options > Join Builder > Models and click on the “Load and Manage Models” button.

Users Who Want to Load the Model (Continued)

5. Click on the “Attach Model” tab.

6. Select the system you want to attach a model to and then drag your model from available models to active models.

7. Click the button which says “Click to Save the Changes for the Selected System”.

How Customer Joins Will Look in the Super Join Builder

8. Now when you go back into the Super Join Builder you should see the joins you have defined in blue. The image below is showing two joins

from the department table to the employee table. The first is a join defined in a demo model database we load by default for our sql_class

and sql_views schema/databases and the second is the custom join which we defined.

9. To remove a custom join just right-click on it and select delete.

Loading an ERwin Model

2. Under the “Join Builder” tree node, click on the “Models” node. Here you can change the location of your

Nexus Model Store which is where all of your Nexus models are saved to and sourced from.

3. To load a new ERwin model click on the “Load and Manage Models” button.

1. Click on Tools > Options

Loading an ERwin Model (Continued)

4. Enter a name for your model.

5. Click on the “Select model to load” button and select your ERwin model to load.

6. Finally, click the “Load your model” button.

7. When you are finished, you should see the following dialog. Click “OK”.

Attaching The ERwin Model

1. Click on the “Attach Model” tab.

2. Select the system you want to attach you model to from the left tree.

3. Drag your model from “Available Models” to “Active Models” (they will turn blue).

Attaching The ERwin Model (Continued)

4. Finally, click on the “Click to Save Changes for the Selected System” button. You should see the

following confirmation for the system you attached the models to. You model is saved to an

encrypted database which can be read by Nexus and the Super Join Builder.

You may attach multiple models to the same system, however, be aware that duplicates in your

models will be reflected in the Super Join Builder.

Managing The ERwin Model (Continued)

1. Click on the “Manage Model” tab.

2. To delete a model right-click on it and select “Delete”

3. To change where you save your final models (for example, you may want to save them to a

shared drive) click on the “folder” icon to select your new directory and the “save” icon to save it.



+ DB2

Oracle

Netezza

Greenplum

ParAccel

Kognitio

Netezza

PDW

N

O

A

M

T

+

+

+

+

+

+

-

XSystems Query1 * X

I

Sandbox – How to Create a Sandbox (1 of 5)

Click on

Sandbox

Click on

Create

new database

Give it a

name and hit

Save

Your new

Sandbox will

then appear

SandboxS+

Sandbox


+ DB2

Oracle

Netezza

Greenplum

ParAccel

Kognitio

PDW

Sandbox

N

O

A

M

S

+

+

+

+

+

+

+

XSystems Query1 * X

I

Messages Results1


SELECT Employee_No

,Dept_No

,Last_Name

,First_Name

,Salary



1324657

2000000

1333454

1232578

1121334

2312225

2312225

2341218

200

?

200

100

400

300

400

10

Coffing

Jones

Smith

Chambers

Strickling

Larkins

Reilly

Smythe

Billy

Squiggy

John

Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

____________ ________ _________ __________ _______

1

2

3

4

5

6

7

8

Database

Tables

+

+

+ Oracle_Dept_Tbl

This is your

sandbox.

Drag answer

sets here and

re-query or

join them

along with

other answer

sets.

All queries on

your sandbox

Tables run

internally on

your PC!

Sandbox - Join Answer Sets from different Systems (2 of 5)

Right Click on Results1 Tab and Rename the Tab.


+ DB2

Oracle

Netezza

Greenplum

ParAccel

Kognitio

PDW

Sandbox

N

O

A

M

S

+

+

+

+

+

+

+

XSystems Query1 * X

I

Messages Netezza_Emp_Tbl


SELECT Employee_No

,Dept_No

,Last_Name

,First_Name

,Salary



1324657

2000000

1333454

1232578

1121334

2312225

2312225

2341218

200

?

200

100

400

300

400

10

Coffing

Jones

Smith

Chambers

Strickling

Larkins

Reilly

Smythe

Billy

Squiggy

John

Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

____________ ________ _________ __________ _______

1

2

3

4

5

6

7

8

Database

Tables

+

+

+ Oracle_Dept_Tbl


After Renaming just

Drag this Tab to your

Sandbox to the Tables Icon


+ DB2

Oracle

Netezza

Greenplum

ParAccel

Kognitio

PDW

Sandbox

N

O

A

M

S

+

+

+

+

+

+

+

XSystems Query1 * X

I

Messages Netezza_Emp_Tbl


SELECT Employee_No

,Dept_No

,Last_Name

,First_Name

,Salary



1324657

2000000

1333454

1232578

1121334

2312225

2312225

2341218

200

?

200

100

400

300

400

10

Coffing

Jones

Smith

Chambers

Strickling

Larkins

Reilly

Smythe

Billy

Squiggy

John

Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

____________ ________ _________ __________ _______

1

2

3

4

5

6

7

8

Database

Tables

+

+

+ Oracle_Dept_Tbl


Netezza_Emp_Tbl+

We now have an Oracle

Table and a Netezza Table in

our sandbox.


+ DB2

Oracle

Netezza

Greenplum

ParAccel

Kognitio

PDW

Sandbox

N

O

A

M

S

+

+

+

+

+

+

+

XSystems Query1 * X

I

Messages


SELECT T.*, Mgr_No

FROM Oracle_Dept_Tbl as O

INNER JOIN

Netezza_Emp_Tbl as T

ON O.Dept_No = T.Dept_No ;

Emp_No Dept_No Last_Name First_Name Salary Mgr_No

1324657

2000000

1333454

1232578

1121334

2312225

2312225

2341218

200

?

200

100

400

300

400

10

Coffing

Jones

Smith

Chambers

Strickling

Larkins

Reilly

Smythe

Billy

Squiggy

John

Mandee

Cletus

Loraine

William

Richard

41888.88

32800.50

48000.00

48850.00

54500.00

40200.00

36000.00

64300.00

________ ________ _________ __________ ________ _______

Database

Tables

+

+

+ Oracle_Dept_Tbl


Netezza_Emp_Tbl+


DB2

Oracle

Netezza

ParAccel

Kognitio

Netezza

PDW

Sandbox

N

O

A

M

S

T

I

Greenplum

Results 1

1000234

1000234

1256349

1256349

1256349

1256349

1256349

1333454

This query ran

from our

Sandbox

internally on

our PC!

We just did a Join on a Netezza

and Oracle answer set



NetezzaT-

XSystems Query1 * X

SQL_Class

Tables

Addresses+

-

-

Claims+

Course_Table+

Customer_Table+

Department_Table+

Employee_Table+

Order_Table+

Providers+

Views+

Macros+

Procedures+

Triggers+

Join Indexes+

Functions+

Show all objects

Create database

Create user

Drop database

Add to My Databases

SmartCompress database

SmartReplica database

SmartSync data

SmartSync objects

SmartScript

SmartDBAdmin

Refresh database

Properties

Refresh data source connection

Properties

How to Compress the Tables in an Entire Database

Right Click on

the Database

Execute Schedule Compress DB SmartCompress Suffix _sc

Compress Staged for Replace Reports Custom Values Log

SQL_Class 110,080

Addresses

Claims

Course_Table

Customer_Table

Department_Table

Employee_Table

Emp_Job_Table

Hierarchy_Table

Job_Table

Names_Table

Order_Table

Providers

2,560

4,096

4,096

5,120

5,120

9,216

3,072

3,584

3,072

3072

5,120

2,560

Name Size

-

+

+

+

+

+

+

+

+

+

+

+

Processing Options

Compress Only

Compress and Replace

Replace Only

Compress In-Place (ALTER)

Advanced

Rebuild Indexes

Re-collect Statistics

Load Data

Replace from Original

Drop Prior Compressed Table

Delete Compressed Data

Sample

Max Compress Values

Add custom value

Convert to CHAR

How to Compress the Tables in an Entire Database

Checkmark the tables and

select the Processing Options

and hit EXECUTE


NetezzaT-

XSystems Query1 * X

SQL_Class

Tables

Addresses+

-

-

Claims+

Course_Table+

Customer_Table+

Department_Table+

Employee_Table+

Order_Table+

Providers+

Views+

Macros+

Procedures+

Triggers+

Join Indexes+

Functions+

Super Join Builder

Quick Select

View DDL

Query Designer

Query Templates

SmartCompress Table

SmartReplica Object

SmartSync data

SmartSync object

SmartScript

Data Cleanser

Create Cube

Open – All rows

Open - Selection

Drop table

How to Compress A Single Table

Right Click on

the Table

Rename table

Refresh table

Properties

+


Compress Staged for Replace Reports Custom Values Log

SQL_Class 110,080

Addresses 2,560

Name Size

-

+

Processing Options

Compress Only

Compress and Replace

Replace Only

Compress In-Place (ALTER)

Advanced

Rebuild Indexes

Re-collect Statistics

Load Data

Replace from Original

Drop Prior Compressed Table

Delete Compressed Data

Sample

Max Compress Values

Add custom value

Convert to CHAR

How to Compress a Single Table

Checkmark the table and

select the Processing Options

and hit EXECUTE


Compress Staged for Replace Custom Values Log

Report Name

Compression Reports

Compress Savings

Compressible Columns Candidate Rank

Percentage of Compressed Savings Per Column

Compressed Savings and Cost Per Column

Reports


NetezzaT-

XSystems Query1 * X

SQL_Class

Tables

Addresses+

-

-

Claims+

Course_Table+

Customer_Table+

Department_Table+

Employee_Table+

Order_Table+

Providers+

Views+

Macros+

Procedures+

Triggers+

Join Indexes+

Functions+

Super Join Builder

Quick Select

View DDL

Query Designer

Query Templates

SmartCompress Table

SmartReplica Object

SmartSync data

SmartSync object

SmartScript

Data Cleanser

Create Cube

Open – All rows

Open - Selection

Drop table

Let Nexus Build your Load Scripts with SmartScript

Right Click on

the Table

Rename table

Refresh table

Properties

+

FastLoad

FastExport

BTEQ

MultiLoad

TPump

ARCMAIN

Execute System: Netezza Edit…

Quick Start Script Log

SmartScript FastLoad

* Indicates required information

Database *

Table *

SQL_Class

Addresses

Error Database *

Error Table 1 *

SQL_Class

Addresses_ERR1

Error Table 2 * Addresses_ERR2

Drop Existing Table

Drop Existing Error Tables

Drop Existing Table

Drop Existing Error Tables Define Table

Standard Advanced

Input

Type *

File *

FILE Format * FORMATTED

Options

Indicators

Display Errors

No Stop

Insert Into Values

Define Statement

Delimiter

Build Script

C:\Temp\Address_Flatfile.txt

.LOGON Netezza/dbc,**PASSWORD**;

SET RECORD FORMATTED ;

Preview of Script

SmartScript Building a FastLoad

Put in the Input Filename and hit BUILD SCRIPT

Execute System: Netezza Edit…

Quick Start Script Log

SmartScript FastLoad

SmartScript Building a FastLoad

/* Please verify that you have the correct TDPID. */

/* You can change the TDPID by clicking Edit on the toolbar, and selecting a host file entry. */

.LOGON Netezza/dbc,**PASSWORD**;

SET RECORD FORMATTED;

DEFINE

Subscriber_No (INTEGER)

, Street (VARCHAR(30))

, City (VARCHAR(20))

, State (CHAR(2))

, Zip (INTEGER)

, AreaCode (SMALLINT)

, Phone (INTEGER)

FILE='C:\Temp\Addresses_Flatfile.txt';

BEGIN LOADING SQL_CLASS.Addresses

ERRORFILES SQL_CLASS.Addresses_ERR1, SQL_CLASS.Addresses_ERR2

Review/Edit your Script and hit Execute or Schedule your Script to run

DBA Launchpad

Please select a menu item on the

left to get started

Direct Data Export

Direct Data Import

SmartReplica

DBAdmin

AI DBA

Create User

Create Database

DDL Builder

View Builder

Convert DDL

Tera-Trivia

Data Cleanser



The Netezza DBA Launchpad



Convert Netezza DDL to Another Database Vendor

SQL_Class

Addresses

Claims

Course_Table

Customer_Table

Department_Table

Employee_Table

Emp_Job_Table

Hierarchy_Table

Job_Table

Names_Table

Order_Table

Providers

-

+

+

+

+

+

+

+

+

+

+

+

Tables -

SQL_Class

Addresses

Claims

Course_Table

Customer_Table

Department_Table

Employee_Table

Emp_Job_Table

Hierarchy_Table

Job_Table

Names_Table

Order_Table

Providers

Tables

Objects To be converted

1. Select the objects you would like to convert on the left

2. Click the blue arrow to send them into the conversion queue on the right

3. Finally, click the Convert DDL button to convert

Convert DDL to Netezza

CREATE TABLE ADDRESSES

(

SUBSCRIBER_NO INTEGER,

STREET VARCHAR(30),

CITY VARCHAR(20),

STATE CHAR(2),

ZIP INTEGER,

AREACODE SMALLINT,

PHONE INTEGER

, UNIQUE (SUBSCRIBER_NO))

DISTRIBUTE ON (SUBSCRIBER_NO);

CREATE TABLE CLAIMS

(

CLAIM_ID INTEGER,

CLAIM_DATE DATE,

CLAIM_SERVICE SMALLINT,

SUBSCRIBER_NO INTEGER,

MEMBER_NO SMALLINT,

CLAIM_AMT NUMERIC(12,2),

PROVIDER_NO SMALLINT

,UNIQUE (CLAIM_ID, CLAIM_DATE,

CLAIM_SERVICE))

DISTRIBUTE ON (CLAIM_ID,

CLAIM_DATE,

CLAIM_SERVICE);

CREATE TABLE Course_Table

(

Course_ID INTEGER,



Replicate Data from One Netezza System to Another

SQL_Class

Addresses

Claims

Course_Table

Customer_Table

Department_Table

Employee_Table

Emp_Job_Table

Hierarchy_Table

Job_Table

Names_Table

Order_Table

Providers

-

+

+

+

+

+

+

+

+

+

+

+

Tables -

SQL_Class

Addresses

Claims

Course_Table

Customer_Table

Department_Table

Employee_Table

Emp_Job_Table

Hierarchy_Table

Job_Table

Names_Table

Order_Table

Providers

Tables

Source System Target System- Package

Execute

Source: Netezza Production Target: Netezza Test Database Setting

SQL_Test

Same name as source

Object Setting

Same name as source

Data

Data Quantity Volume

All Data

None

Subset

Sample

Selection Edit

SmartReplica


NetezzaT-

XSystems Query1 * X

SQL_Class

Tables

Addresses+

-

-

Claims+

Course_Table+

Customer_Table+

Department_Table+

Employee_Table+

Order_Table+

Providers+

Views+

Macros+

Procedures+

Triggers+

Join Indexes+

Functions+

Super Join Builder

Quick Select

View DDL

Query Designer

Query Templates

SmartCompress Table

SmartReplica Object

SmartSync data

SmartSync object

SmartScript

Data Cleanser

Create Cube

Open – All rows

Open - Selection

Drop table

Compare and Synchronize with SmartSync

Right Click on

a Database

Rename table

Refresh table

Properties

+

Right Click on

a Table

OR

SmartSync Data will allow you

to compare the data on two different

Netezza Systems, Databases or Tables

and it will show you the differences.

SmartSync Data will also be able to

reconcile those differences!

SmartSync Object will allow you

to compare the DDL on two different

Netezza Systems, Databases or Tables

and it will show you the differences.

Execute Source: Netezza Target: Netezza Edit…

Objects Results Synchronize

Compare Data on Two tables with SmartSync

Source System Target System

Database

Object

SQL_Class

Employee_Table

Database

Object

SQL_Class_BKP

Employee_Table

Employee_Table

Employee_No

Dept_No

Last_Name

First_Name

Salary (Decimal

Object Settings (blue indicates Distribution

Key)Data Quantity

All Data

Subset

Selection Edit

Options

Intersystem compare

Show identical rows

Difference Threshold 500

Choose your Target System

and then press Execute

Compare Data and See the Results with SmartSync

1 row exists in Source Table Sql_Class.Employee_Table that does not exist in Target SQL_Class_BKP.Employee_Table


2312225 300 Larkins Loraine 40200.00

____________ ________ __________ __________ ________

0 rows exist in Source Table Sql_Class.Employee_Table that does not exist in Target SQL_Class_BKP.Employee_Table

3 rows different in Source Table Sql_Class.Employee_Table and Target object SQL_Class_BKP.Employee_Table


SOURCE

TARGET

SOURCE

TARGET

SOURCE

TARGET

____________ ________ __________ __________ ________

1256349

1256349

1324657

1324657

2000000

2000000

400

400

200

200

?

0

Harrison

Harrison

Coffing

Coffing

Jones

James

Herbert

Herbby

Billy

Billy

Squiggy

Squiggy

54500.00

54500.00

41888.88

123.00

32800.50

32800.50

3

In Source, Not Target

1

2

In Target, Not Source

In Both with Differences




Synchronize the Data with SmartSync

Synchronize Target Object to Source Object

Insert missing rows

Delete extra rows

Update differences with matching rows

Perform Synchronization

Preview in Query Window

Synchronize Source Object to Target Object

Insert missing rows

Delete extra rows

Update differences with matching rows

Perform Synchronization

Preview in Query Window

You have the ability to choose how you

want to synchronize!


Objects Results Log

Compare DDL with SmartSync

Source System Target System

Database

Object

SQL_Class

Employee_Table

Database

Object

SQL_Class_BKP

Employee_Table

Compare Level

Object Database System

Select/Unselect All

Compare Object Headers

Compare Columns

Compare Indexes

Compare Statistics

Compare Definitions

Compare Options

Select Function

Compare Object Rights

-

+

+

+

+

+

+

Unchanged Rows

Changed Rows

Unmatched Rows in Source

Unmatched Rows in Target

Show Line Numbers

Silent Processing

Results Counts and Results

Advanced

Filters LogDefinitionDisplay

Schedule

New Query ETL Dashboard Bisualize History Sandbox Joins · PDF fileNew Query ETL Dashboard...

Documents

Transcript of New Query ETL Dashboard Bisualize History Sandbox Joins · PDF fileNew Query ETL Dashboard...