tap-sybase

tap-sybase is a Singer tap for sybase.

Built with the Meltano Tap SDK for Singer Taps.

Singer tap that extracts data from a sybase database and produces JSON-formatted data following the Singer spec. This TAP was built against Sybase Version 16 also known as Adapter Server Enterprise or officially as SAP Adaptive Server Enterprise (ASE) 16.0. Compatibility with older versions of Sybase is unknown, I would recommend testing the TAP for compatibility.

Installation

Install from PyPi:

pipx install tap-sybase

Install from GitHub:

pipx install git+https://github.com/s7clarke10/tap-sybase-sdk.git@main

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Configuration

Accepted Config Options

Capabilities

• catalog
• state
• discover
• about
• stream-maps
• schema-flattening

Settings

Setting	Required	Default	Description
user	True	None	The user name used to connect to the Sybase database
password	True	None	The password for the connecting user to the Sybase database
host	True	None	The host name or IP Address running the Sybase Database
port	False	2638	The port that the database is running on, defaults to port 2638
filter_dbs	False	None	To filter the discovery to a particular schema within a database. This is useful if you have a large number of schemas and wish to speed up the discovery.
use_date_datatype	False	False	To emit a date as a date without a time component or time without an UTC offset. This is helpful to avoid time conversions or to just work with a date datetype in the target database. If this boolean config item is not set, the default behaviour is false i.e. emit date datatypes as a datetime. It is recommended to set this on if you have time datetypes and are having issues uploading into into a target database.
tds_version	False	None	Set the version of TDS to use when communicating with Sybase Server (the default is None). This is used by pymssql with connecting and fetching data from Sybase databases. See the pymssql documentation and FreeTDS documentation for more details.
characterset	False	utf8	The characterset for the database / source system. The default is utf8, however older databases might use a charactersets like cp1252 for the encoding. If you have errors with a UnicodeDecodeError: 'utf-8' codec can't decode byte .... then a solution is examine the characterset of the source database / system and make an appropriate substitution for utf8 like cp1252.
cursor_array_size	False	1	To make use of fetchmany(x) instead of fetchone(), use cursor_array_size with an integer value indicating the number of rows to pull. This can help in some architectures by pulling more rows into memory. The default if omitted is 1, the tap will still use fetchmany, but with an argument of 1, under the assumption that like cp1252.
use_singer_decimal	False	False	o emit all numeric values as strings and treat floats as string data types for the target, set use_singer_decimal to true. The resulting SCHEMA message will contain an attribute in additionalProperties containing the scale and precision of the discovered property
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.
flattening_enabled	False	None	'True' to enable schema flattening and automatically expand nested properties.
flattening_max_depth	False	None	The max depth to flatten schemas.

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

tap-sybase --about

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.

Source Authentication and Authorization

Usage

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

Executing the Tap Directly

tap-sybase --version
tap-sybase --help
tap-sybase --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 tap_sybase/tests subfolder and then run:

poetry run pytest

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

poetry run tap-sybase --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-sybase
meltano install

Now you can test and orchestrate using Meltano:

# Test invocation:
meltano invoke tap-sybase --version
# OR run a test `elt` pipeline:
meltano elt tap-sybase 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.