dbx_ingestion_monitoring #126
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..._connector_monitoring_dab/dashboards/CDC Connector Monitoring Dashboard Template.lvdash.json
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...stion_monitoring/cdc_connector_monitoring_dab/monitoring_etl/cdc_monitoring_pipeline_main.py
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...stion_monitoring/cdc_connector_monitoring_dab/monitoring_etl/cdc_monitoring_pipeline_main.py
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| import sys | ||
| import logging | ||
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| sys.path.append("../../lib") |
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Honestly, it's a bit too much magic IMO. This way one can execute the notebook manually too.
...gestion_monitoring/generic_sdp_monitoring_dab/monitoring_etl/sdp_monitoring_pipeline_main.py
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contrib/databricks_ingestion_monitoring/common/src/build_pipeline_tags_index.ipynb
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contrib/databricks_ingestion_monitoring/common/resources/build_pipeline_tags_index.job.yml
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lennartkats-db
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Dec 11, 2025
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Please review the directory structure: should jobs/ not be called src/? Otherwise this LGTM
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Done. Renamed |
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This commit fixes formatting issues in the databricks_ingestion_monitoring files that were introduced in PR #126. The files were merged without being properly formatted according to ruff standards, causing CI checks to fail. Changes: - Reformatted 14 files (Python files and Jupyter notebooks) using ruff format - No functional changes, only formatting improvements 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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…139) This commit fixes formatting issues in the databricks_ingestion_monitoring files that were introduced in PR #126. The files were merged without being properly formatted according to ruff standards, causing CI checks to fail. Changes: - Reformatted 14 files (Python files and Jupyter notebooks) using ruff format - No functional changes, only formatting improvements 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude <noreply@anthropic.com>
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This directory contains common code and DABs to deploy observability ETL and dashboards for Databricks ingestion projects. The goal is to provide an example and a starting point for building ingestion observability across pipelines and datasets.
In particular, the package provides:
cloud_file_states, system tables and other."tier:T0;team:data,tier:T1") instead of maintaining lists of pipeline IDsCurrently Generic SDP pipelines and Lakeflow CDC Connector pipelines are supported.