dbt-ibm-netezza 1.0.6

The Netezza adapter plugin for dbt

dbt-ibm-netezza

The dbt-ibm-netezza package contains all of the code required to make dbt operate on a Netezza database. For more information on using dbt, consult their docs.

Performance Optimizations

Tables in Netezza have an optimization to improve query performance called distribution keys. Supplying these values as model-level configurations apply the corresponding settings in the generated CREATE TABLE DDL. Note that these settings will have no effect for models set to view or ephemeral models.

• dist can take a setting of random, a single column as a string (e.g. visit_key), or a list of columns (e.g. ['visit_key','visit_event_key'])

Dist keys can be added to the {{ config(...) }} block for a specific model .sql file, e.g.:

-- Example with one sort key
{{ config(materialized='table', dist='visit_key') }}

select ...


-- Example with multiple sort keys
{{ config(materialized='table', dist=['visit_key', 'visit_event_key']) }}

select ...

Dist keys can also be added to the dbt_project.yml file config to set a default, e.g.

# dbt_project.yml
name: "my_project"
version: "0.0.1"
config-version: 2

...

models:
  my_project:
    +materialized: table
    +dist: random

Testing Sample dbt project

Installation Guide

To install all the dependencies for the tool, follow these steps:

1. Navigate to the nz-dbt directory:

   cd nz-dbt
   

2. Install dbt-ibm-netezza using the command pip install .

Initialize a new dbt project using command dbt init and provide all the informantion prompted like project_name, hostname, database, etc. The details you put are case-sensitive.

This will create the configuration of your project inside the file with path

$HOME/.dbt/profiles.yml

The configuration should look like:

dbtnzsampleproject:
  outputs:
    dev:
      database: '"sampledb"'
      host: my_host
      password: 
      port: 5480
      schema: sampleschema
      threads: 1
      type: netezza
      user: '"ADMIN"'
  target: dev

Note:

We provide the database name and the user name inside double quotes in order to make it case sensitive. Other objects like schema is also case sensitive.

Check your dbt connection with netezza using the command :

dbt debug

Create the tables into your db using the info in the datainsertion.sql file.

Note:

Take note that we would be using the names of the tables created into our database as it is ,i.e., the tables created would be created as CUSTOMERS, ORDERS and PAYMENTS so we would use names of these objects in dbt as it is.

We can load the data into our tables using the dbt seed command , it would insert the data from all the seed files into tables created with the name of the seed files.

The et_options.yml file created after the initialization of a dbt project, is crucial for configuring the parameters for inserting data from an external file into your table.

Note:

The et_options.yml file allows you to specify the parameters for inserting data from an external source according to your needs. For detailed information on how to configure the et_options.yml file and the available options, refer to the Netezza documentation here: Netezza Option Details.

Make sure your et_options.yml file is correctly set up in your dbt project folder before running the dbt seed command. This ensures that data is inserted into your tables accurately as specified in the external file.

The file should look like:

- !ETOptions
    SkipRows: "1"
    Delimiter: "','"
    DateDelim: "'-'"
    MaxErrors: " 0 "

Working with dbt Models

Creating Models

You can create models as specified in our sample project. Models define the transformations and logic for your data.

Running Models

To execute your dbt models, use the dbt run command. This command will run all the models defined in your dbt project.

dbt run

Running Specific Models

If you want to run a specific model instead of all models, you can specify it using the --select option. For example, to run the stg_customers model, use:

dbt run --select stg_customers

Testing Models

After running your models, it is important to test the outputs to ensure they meet your expectations. Use the dbt test command to run all the tests defined in your dbt project.

After running the models we can run the dbt test command to test the output of the models.

dbt test

Testing Specific Models

To test a specific model, you can use the --select option with the dbt test command. For example, to test the stg_payments model, use:

dbt test --select stg_payments

We can generate docs using command:

dbt docs generate

We can view the documentation for the project using the command:

dbt docs serve

Using dbt Snapshot with Netezza

We can utilize the snapshot functionality provided by dbt to track historical changes to our data. However, to use this feature, you first need to install the SQL Extension Toolkit for Netezza on your database.

Note:

The SQL Extension Toolkit must be installed on the default ADMIN schema of your database. In this case, the database is sampledb. For detailed instructions on how to install the SQL Extension Toolkit, refer to the Netezza documentation here: SQL Extension Toolkit Installation.

Once the toolkit is installed, you can use the dbt snapshot command to capture historical data changes.

Steps to Use dbt snapshot

1. Install SQL Extension Toolkit: Ensure the toolkit is installed on the ADMIN schema of sampledb as outlined in the provided documentation.

2. Run the dbt snapshot Command: After installation, you can proceed with running the dbt snapshot command to create snapshots of your data.

   dbt snapshot