Added support runbook#2100
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This pull request adds a comprehensive troubleshooting guide and runbook for DataCommons production support, detailing procedures for handling source-side data changes, deletions, golden checks, and root cause analysis. The review feedback identifies several areas for improvement in the document, including consolidating redundant headers and sections, fixing broken list formatting and empty headers, correcting copy-paste errors in URLs and import names, and updating the dashboard branding from Looker Studio to Data Studio per project guidelines.
| * **validation\_output.csv:** This tells you the exact reason the checks failed. In my case, 3 checks passed, but the check\_deleted\_records\_percent failed because 3,908 records were deleted. (See table below) | ||
| * Link to my file: [validation\_output.csv](https://storage.mtls.cloud.google.com/datcom-prod-imports/scripts/world_bank/wdi/WorldDevelopmentIndicators/2026_06_09T04_07_31_200635_07_00/input0/validation/validation_output.csv?authuser=0) | ||
| * **Nodes\_deleted.mcf:** This file shows you the actual list of records that were deleted. | ||
| * Link to my file:[nodes\_deleted.mcf](https://storage.mtls.cloud.google.com/datcom-prod-imports/scripts/world_bank/wdi/WorldDevelopmentIndicators/2026_06_09T04_07_31_200635_07_00/input0/validation/obs_diff_log.csv?authuser=0) |
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The link text is nodes_deleted.mcf but the URL points to obs_diff_log.csv. Please correct the URL to point to the correct file.
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| * Link to my file:[nodes\_deleted.mcf](https://storage.mtls.cloud.google.com/datcom-prod-imports/scripts/world_bank/wdi/WorldDevelopmentIndicators/2026_06_09T04_07_31_200635_07_00/input0/validation/obs_diff_log.csv?authuser=0) | |
| * Link to my file:[nodes\_deleted.mcf](https://storage.mtls.cloud.google.com/datcom-prod-imports/scripts/world_bank/wdi/WorldDevelopmentIndicators/2026_06_09T04_07_31_200635_07_00/input0/validation/nodes_deleted.mcf?authuser=0) |
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There are empty headers (## ) here that should be removed to keep the document clean.
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| This section highlights the steps that can be taken to perform RCA for the failed production pipelines. | ||
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| Step 1: Go to the looker [dashboard](https://lookerstudio.google.com/c/reporting/e88fda74-50c9-46c6-88aa-c84342ceba48/page/eaXdF) and get the latest status of all the pipelines from the dashboard. The probable different states of each pipelines could be as below: |
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According to the project guidelines, please refer to 'Data Studio' and use 'datastudio.google.com' instead of 'Looker Studio' and 'lookerstudio.google.com'.
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| Step 1: Go to the looker [dashboard](https://lookerstudio.google.com/c/reporting/e88fda74-50c9-46c6-88aa-c84342ceba48/page/eaXdF) and get the latest status of all the pipelines from the dashboard. The probable different states of each pipelines could be as below: | |
| Step 1: Go to the Data Studio [dashboard](https://datastudio.google.com/c/reporting/e88fda74-50c9-46c6-88aa-c84342ceba48/page/eaXdF) and get the latest status of all the pipelines from the dashboard. The probable different states of each pipelines could be as below: |
References
- Use 'Data Studio' and 'datastudio.google.com' instead of 'Looker Studio' and 'lookerstudio.google.com' when referring to the dashboard branding.
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Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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Added support run book to enable auto debugging of failures via LLM tools. Currently this runbook talks about following scenarios: