tap-sumologic
is a Singer tap for sumologic.
Built with the Meltano Tap SDK for Singer Taps.
The main advantage of this version of tap-sumologic vs. other versions on github is that it
includes the ability to set the api parameter autoParsingMode
to intelligent
. This is a
feature that also precludes the use of the sumologic-python-sdk
which doesn't not allow for setting this parameter either.
Other improvements include the ability to set a start and end date for your search job queries, as well as other general Meltano SDK improvements.
This tap infers stream schemas based on a sample response from the query.
If using via Meltano, add the following lines to your meltano.yml
file and run the following command:
plugins:
extractors:
- name: tap-sumologic
namespace: tap_sumologic
pip_url: git+https://github.com/Widen/tap-sumologic.git
executable: tap-sumologic
capabilities:
- state
- catalog
- discover
settings:
- name: access_id
kind: password
- name: access_key
kind: password
- name: start_date
kind: string
- name: end_date
kind: string
- name: time_zone
kind: string
- name: tables
kind: array
meltano install extractor tap-rest-api-msdk
A full list of supported settings and capabilities for this tap is available by running:
tap-sumologic --about
access_id
: str: required: The access id for authenticating against the Sumologic API.access_key
: str: required: The access key for authenticating against the Sumologic API.root_url
: str: optional: The Sumologic endpoint for your deployment. Defaults to:https://api.sumologic.com/api
.start_date
: str: optional: The earliest record date to sync. Same start date for all tables. Format: YYYY-MM-DDTHH: mm:ss.end_date
: str: optional: The latest record date to sync. Same end date for all tables. Format: YYYY-MM-DDTHH:mm:ss.time_zone
: str: optional: The time zone for the queries. Sets the parameter for all queries.tables
: array: required: This is the list of configurations for each table/query/stream.
query
: str: required: the Sumo Logic Search Job query. Any query that works in the Sumo Logic UI should work in the api.table_name
: str: required: the name for the table/stream.query_type
: str: optional: The type of query result to return. Defaults tomessages
. Must be one ofmessages
orrecords
.primary_keys
: array: optional: Additional fields to include in the primary keys. Defaults to[]
.by_receipt_time
: bool: optional: Define as true to run the search using receipt time. Defaults tofalse
.auto_parsing_mode
: str: optional: This enables dynamic parsing, when specified as intelligent, Sumo automatically runs field extraction on your JSON log messages when you run a search. By default, searches run in performance mode.quantization
: int: optional: Segregates time series data by time period. This allows you to create aggregated results in buckets of fixed intervals (for example, 5-minute intervals). The value is in milliseconds. Only applicable on 'metrics' queries.rollup
: str: optional: Can be Avg, Sum, Min, Max, Count or None. Only applicable on 'metrics' queries.timeshift
: int: optional: Shifts the time series from your metrics query by the specified amount of time. This can help when comparing a time series across multiple time periods. Specified as a signed duration in milliseconds. Only applicable on 'metrics' queries.schema
: optional: A valid Singer schema or a path-like string that provides the path to a.json
file that contains a valid Singer schema. If provided, the schema will not be inferred from the results of an api call.
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.
See the Sumologic API documentation
for details on how to get your access_id
, access_key
, as well as for your
root url.
Most other relevant documentation can be found here.
You can easily run tap-sumologic
by itself or in a pipeline using Meltano.
tap-sumologic --version
tap-sumologic --help
tap-sumologic --config CONFIG --discover > ./catalog.json
pipx install poetry
poetry install
Create tests within the tap_sumologic/tests
subfolder and
then run:
poetry run pytest
You can also test the tap-sumologic
CLI interface directly using poetry run
:
poetry run tap-sumologic --help
Run through the full suite of tests and linters by running
poetry run tox -e py
These must pass in order for PR's to be merged.
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.
Your project comes with a custom meltano.yml
project file already created. Open the meltano.yml
and follow any "
TODO" items listed in
the file.
Next, install Meltano (if you haven't already) and any needed plugins:
# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-sumologic
meltano install
Now you can test and orchestrate using Meltano:
# Test invocation:
meltano invoke tap-sumologic --version
# OR run a test `elt` pipeline:
meltano elt tap-sumologic target-jsonl
See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.