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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
This commit is contained in:
Lucas Merrill Brown 2022-02-11 14:04:53 -05:00 • committed by GitHub
commit a0d6e55f0a
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30 changed files with 286 additions and 160 deletions
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data/data-pipeline/data_pipeline/etl/sources/calenviroscreen/etl.py
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@ -14,7 +14,7 @@ class CalEnviroScreenETL(ExtractTransformLoad):
+ "/CalEnviroScreen_4.0_2021.zip"
)
self.CALENVIROSCREEN_CSV = (
self.TMP_PATH / "CalEnviroScreen_4.0_2021.csv"
self.get_tmp_path() / "CalEnviroScreen_4.0_2021.csv"
)
self.CSV_PATH = self.DATA_PATH / "dataset" / "calenviroscreen4"
@ -37,7 +37,7 @@ class CalEnviroScreenETL(ExtractTransformLoad):
logger.info("Downloading CalEnviroScreen Data")
super().extract(
self.CALENVIROSCREEN_FTP_URL,
self.TMP_PATH,
self.get_tmp_path(),
)
def transform(self) -> None: