tap-ibm-db2 0.8.1

`Tap-DB2` is a Singer tap for IBM DB2 data sources.

Tap-DB2 👑

Tap-DB2 is a Singer tap for IBM DB2 data sources. Built with the Meltano Tap SDK for Singer Taps.

Installation ⚙️

Install from PyPi:

pipx install tap-ibm-db2

Install from GitHub:

pipx install git+https://github.com/danielptv/tap-db2.git@main

Configuration 📝

Setting	Required	Default	Description
host	True	localhost	The DB2 hostname.
port	True	50000	The DB2 port.
database	True	None	The DB2 database.
schema	False	None	The DB2 schema.
user	True	None	The DB2 username.
password	True	None	The DB2 password.
encryption	True	None	Encryption settings for the DB2 connection. Disabled if omitted.
connection_parameters	False	None	Additional parameters to be appended to the connection string. This is an objects containing key-value pairs.
sqlalchemy_execution_options	False	None	Additional execution options to be passed to SQLAlchemy. This is an objects containing key-value pairs.
query_partitioning	False	None	Partition query into smaller subsets.
filter	False	None	Apply a custom WHERE condition per stream. Unlike the filter available in stream_maps, this will be evaluated BEFORE extracting the data.
ignore_supplied_tables	False	True	Ignore DB2-supplied user tables. For more info check out Db2-supplied user tables.
ignore_views	False	False	Ignore views.
stream_maps	False	None	Config object for stream maps capability. For more information check out Stream Maps.
stream_map_config	False	None	User-defined config values to be used within map expressions.

A full list of supported settings and capabilities for this tap is available by running:

tap-db2 --about --format json

Configure using environment variables ✏️

This Singer tap will automatically import any environment variables within the working directory's .env if the --config=ENV is provided, such that config values will be considered if a matching environment variable is set either in the terminal context or in the .env file.

Configure encryption settings 🔒

This Singer tap supports encrypted connection settings to DB2 according to the python-ibmdb driver.

SSL without additional options:

...
plugins:
  extractors:
  - name: tap-db2
    variant: danielptv
    pip_url: tap-ibm-db2
    config:
      ...
      encryption: {}

This will append SECURITY=SSL; to the connection string.

SSL using SSLServerCertificate keyword:

...
plugins:
  extractors:
  - name: tap-db2
    variant: danielptv
    pip_url: tap-ibm-db2
    config:
      ...
      encryption:
        ssl_server_certificate: <Full path to the server certificate>

This will append SECURITY=SSL;SSLServerCertificate=<Full path to the server certificate>; to the connection string.

SSL using SSLClientKeyStoreDB and SSLClientKeyStoreDBPassword keywords:

...
plugins:
  extractors:
  - name: tap-db2
    variant: danielptv
    pip_url: tap-ibm-db2
    config:
      ...
      encryption:
        ssl_client_key_store_db:
          database: <Full path to the client keystore database>
          password: <Keystore password>

This will append SECURITY=SSL;SSLClientKeyStoreDB=<Full path to the client keystore database>;SSLClientKeyStoreDBPassword=<Keystore password>; to the connection string.

SSL using SSLClientKeyStoreDB and SSLClientKeyStash keywords:

...
plugins:
  extractors:
  - name: tap-db2
    variant: danielptv
    pip_url: tap-ibm-db2
    config:
      ...
      encryption:
        ssl_client_key_store_db:
          database: <Full path to the client keystore database>
          key_stash: <Full path to the client keystore stash>

This will append SECURITY=SSL;SSLClientKeyStoreDB=<Full path to the client keystore database>;SSLClientKeyStash=<Full path to the client keystore stash>; to the connection string.

Configure query partitioning 🧩

This Singer tap supports the partitioning of SQL queries into smaller sub-queries to reduce the CPU load on the database. This is particularly useful when working with large amounts of data and a DB2 that has set strict resource limits per query. Note: This only works for streams with a numeric primary key.

The configuration for query partitioning should look as follows:

...
plugins:
  extractors:
  - name: tap-db2
    variant: danielptv
    pip_url: tap-ibm-db2
    config:
      ...
      query_partitioning:
      <stream>:
        primary_key: <primary key>
        partition_size: 1000

Replace <stream> with the stream name and <primary key> with the stream's primary key. Use * to apply a query partitioning setting to all streams not explicitly declared.

Usage 👷‍♀️

You can easily run tap-db2 by itself or in a pipeline using Meltano.

Executing the Tap Directly 🔨

tap-db2 --version
tap-db2 --help
tap-db2 --config CONFIG --discover > ./catalog.json

Developer Resources 👩🏼‍💻

Follow these instructions to contribute to this project.

Initialize your Development Environment

pipx install poetry
poetry install

Create and Run Tests 🧪

Create tests within the tests subfolder and then run:

poetry run pytest

You can also test the tap-db2 CLI interface directly using poetry run:

poetry run tap-db2 --help

Testing with Meltano

Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.

Next, install Meltano (if you haven't already) and any needed plugins:

# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-db2
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-db2 --version
# OR run a test `elt` pipeline:
meltano elt tap-db2 target-jsonl

SDK Dev Guide

See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.