merica-dlh/merica
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

docs: note pre-installed apache-airflow-providers-git and dbt-postgres in base image

Browse Source
This commit is contained in:
syahril
2026-10-21 17:47:34 +07:00
parent 2e31a14351
commit 5a137dba42
1 changed files with 3 additions and 5 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/panduan_integrasi_existing_airflow.md
+3 -5
View File
@@ -237,17 +237,15 @@ docker ps --filter "name=airflow" --format "table {{.Names}}\t{{.Image}}\t{{.Sta
*Catat nama kontainer scheduler dan dag processor serta port host webserver (misal: `0.0.0.0:12082->8080/tcp`).* *Catat nama kontainer scheduler dan dag processor serta port host webserver (misal: `0.0.0.0:12082->8080/tcp`).*
#### 2. Injeksi Pustaka Engine ke Kontainer Berjalan (Tanpa Restart) #### 2. Injeksi Pustaka Engine ke Kontainer Berjalan (Tanpa Restart)
Gunakan `docker exec` untuk memasang dependensi engine (`astronomer-cosmos`, `dbt-postgres`, `apache-airflow-providers-git`, dan `dlt`) langsung ke worker/scheduler tanpa mematikan layanan. *(Catatan: Pustaka `duckdb` dan `pyiceberg` sudah tersedia bawaan image)*: Gunakan `docker exec` untuk memasang pustaka yang belum ada (`astronomer-cosmos` dan `dlt`) langsung ke worker/scheduler tanpa mematikan layanan. *(Catatan: Pustaka `apache-airflow-providers-git`, `dbt-postgres`, `duckdb`, `pyiceberg`, dan `sling` sudah tersedia bawaan (*built-in*) di image resmi)*:
```bash ```bash
# Injeksi ke Scheduler # Injeksi ke Scheduler
docker exec -u airflow <nama_kontainer_scheduler> pip install --no-cache-dir \ docker exec -u airflow <nama_kontainer_scheduler> pip install --no-cache-dir \
astronomer-cosmos==1.15.1 dbt-postgres==1.11.0 apache-airflow-providers-git==1.0.0 \ astronomer-cosmos==1.15.1 dlt[duckdb,filesystem]==1.6.1
dlt[duckdb,filesystem]==1.6.1
# Injeksi ke DAG Processor # Injeksi ke DAG Processor
docker exec -u airflow <nama_kontainer_dag_processor> pip install --no-cache-dir \ docker exec -u airflow <nama_kontainer_dag_processor> pip install --no-cache-dir \
astronomer-cosmos==1.15.1 dbt-postgres==1.11.0 apache-airflow-providers-git==1.0.0 \ astronomer-cosmos==1.15.1 dlt[duckdb,filesystem]==1.6.1
dlt[duckdb,filesystem]==1.6.1
# Verifikasi instalasi berhasil # Verifikasi instalasi berhasil
docker exec <nama_kontainer_scheduler> python -c "import cosmos, duckdb, pyiceberg; print('✅ Airflow Engine Ready!')" docker exec <nama_kontainer_scheduler> python -c "import cosmos, duckdb, pyiceberg; print('✅ Airflow Engine Ready!')"