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feat(pipeline) : Setup deduplication as a new processings module #350
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J'ai rebase pour deployer en staging l'import des tables analytics en staging. |
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datawarehouse/processings/src/data_inclusion/processings/deduplicate.py
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datawarehouse/processings/src/data_inclusion/processings/deduplicate.py
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pipeline/dbt/models/intermediate/deduplicate/_doublons_models.yml
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pipeline/dbt/models/intermediate/deduplicate/int__doublons_nb_multi_source.sql
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pipeline/dbt/models/intermediate/deduplicate/int__doublons_nb_mono_source.sql
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à part un petit point, nickel 💯 💯 💯
l'intuition que int__doublons_nb_cross_source
et int__doublons_nb_mono_source
pourraient être un seul et même modèle, mais ça ira très bien comme ça 👍
pipeline/dbt/models/intermediate/deduplicate/int__doublons_paires_structures.sql
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(.venv) [victor@W]<~/dev/data-inclusion/pipeline/dbt> time dbt run -s models/intermediate/int__doublons_structures.sql 10:06:25 Running with dbt=1.8.6 10:06:25 Registered adapter: postgres=1.8.2 10:06:25 Unable to do partial parsing because of a version mismatch 10:06:28 Found 137 models, 12 snapshots, 10 seeds, 793 data tests, 52 sources, 554 macros, 5 unit tests 10:06:28 10:06:28 Concurrency: 1 threads (target='dev') 10:06:28 10:06:28 1 of 1 START sql table model public_intermediate.int__doublons_structures ...... [RUN] 10:06:49 1 of 1 OK created sql table model public_intermediate.int__doublons_structures . [SELECT 9457 in 20.66s] 10:06:49 10:06:49 Finished running 1 table model in 0 hours 0 minutes and 20.93 seconds (20.93s). 10:06:49 10:06:49 Completed successfully 10:06:49 10:06:49 Done. PASS=1 WARN=0 ERROR=0 SKIP=0 TOTAL=1 real 0m25,923s user 0m4,834s sys 0m0,077s
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