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Run ETL processes in parallel (#1253)

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* WIP on parallelizing

* switching to get_tmp_path for nri

* switching to get_tmp_path everywhere necessary

* fixing linter errors

* moving heavy ETLs to front of line

* add hold

* moving cdc places up

* removing unnecessary print

* moving h&t up

* adding parallel to geo post

* better census labels

* switching to concurrent futures

* fixing output
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Lucas Merrill Brown 2022-02-11 14:04:53 -05:00 • committed by GitHub
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30 changed files with 286 additions and 160 deletions
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data/data-pipeline/data_pipeline/etl/sources/cdc_life_expectancy/etl.py
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@ -29,7 +29,9 @@ class CDCLifeExpectancy(ExtractTransformLoad):
def extract(self) -> None:
logger.info("Starting data download.")
download_file_name = self.TMP_PATH / "cdc_life_expectancy" / "usa.csv"
download_file_name = (
self.get_tmp_path() / "cdc_life_expectancy" / "usa.csv"
)
download_file_from_url(
file_url=self.FILE_URL,
download_file_name=download_file_name,