tap-athena

Athena tap class.

Built with the Meltano Singer SDK.

Capabilities

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

Settings

Setting	Required	Default	Description
aws_access_key_id	True	None
aws_secret_access_key	True	None
aws_region	True	None
s3_staging_dir	True	None
schema_name	True	None
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 is available by running: tap-athena --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-athena by itself or in a pipeline using Meltano.

Executing the Tap Directly

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

Developer Resources

Follow these instructions to contribute to this project.

Initialize your Development Environment

# Install pipx if you haven't already
pip install pipx
pipx ensurepath

# Restart your terminal here, if needed, to get the updated PATH
pipx install poetry

# Optional: Install Tox if you want to use it to run auto-formatters, linters, tests, etc.
pipx install tox

Create and Run Tests

To run the automated tests, create the following test table in Athena. Make sure to alter to use your database name and S3 path.

CREATE EXTERNAL TABLE `my_sample_data`.`test_data` (
  `complex-1` decimal(1),
  `complex_2` int,
  `Complex3` array < string >,
  `complex_4_date` date,
  `complex_5_bool` boolean,
  `complex_6_float` float,
  `complex_7_timestamp` timestamp
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
WITH SERDEPROPERTIES ('field.delim' = ',')
STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat' OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION 's3://[YOUR_BUKET_NAME]/complex_data/'
TBLPROPERTIES (
  'classification' = 'csv',
  'skip.header.line.count' = '0',
  'write.compression' = 'GZIP'
);


INSERT INTO "test_data" values(cast(2.0 as decimal(1,0)),2,ARRAY['d','e','f'], cast('2023-05-11' as date),false,cast(2.001 as real), CAST('2023-05-02 02:02:02.02' as  TIMESTAMP));

select * from "test_data";

Add your config.json to the .secrets directory:

Create tests within the tests subfolder and then run:

pipx run tox -e pytest
pipx run tox -e pytest -- tests/test_core.py

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

poetry run tap-athena --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.

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-athena
meltano install

Now you can test and orchestrate using Meltano:

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