DBT: Cd Disaggregated Beef 2019
File location: s3://trase-storage/brazil/beef/trade/cd/disaggregated/CD_DISAGGREGATED_BEEF_2019.csv
DBT model name: cd_disaggregated_beef_2019
Explore on Metabase: Full table; summary statistics
DBT details
- Lineage
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Dbt path:
trase_production.main_brazil.cd_disaggregated_beef_2019 -
Containing yaml link: trase/data_pipeline/models/brazil/beef/trade/cd/disaggregated/_schema_cd_disaggregated_beef.yml
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Model file: trase/data_pipeline/models/brazil/beef/trade/cd/disaggregated/cd_disaggregated_beef_2019.py
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Calls script:
trase\tools\aws\metadata.py -
Tags:
mock_model,beef,brazil,cd,disaggregated,trade
Description
This model was auto-generated based off .yml 'lineage' files in S3. The DBT model just raises an error; the actual script that created the data lives elsewhere. The script is located at trase/tools/aws/metadata.py [permalink]. It was last run by Nanxu Su.
Details
| Column | Type | Description |
|---|---|---|
Models / Seeds
source.trase_duckdb.trase-storage-raw.brazil_mdic_disaggregated_2019_beefmodel.trase_duckdb.brazil_bol_2019model.trase_duckdb.brazil_mdic_port_2019model.trase_duckdb.empresas_cadastro_2019
Sources
['trase-storage-raw', 'brazil_mdic_disaggregated_2019_beef']
No called script or script source not found.
import pandas as pd
def model(dbt, cursor):
dbt.ref("brazil_bol_2019")
dbt.source("trase-storage-raw", "brazil_mdic_disaggregated_2019_beef")
dbt.ref("brazil_mdic_port_2019")
dbt.ref("empresas_cadastro_2019")
raise NotImplementedError()
return pd.DataFrame({"hello": ["world"]})