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.
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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catalog
state
discover
about
stream-maps
schema-flattening
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
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.
You can easily run tap-sybase
by itself or in a pipeline using Meltano.
tap-sybase --version
tap-sybase --help
tap-sybase --config CONFIG --discover > ./catalog.json
Follow these instructions to contribute to this project.
pipx install poetry
poetry install
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
See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.