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Alerting

As explained in Architecting an Apache Iceberg Lakehouse

Alerting is the automated generation and delivery of notifications when monitored data satisfies configured conditions.

Alerting turns Iceberg maintenance from passive automation into active oversight by notifying operators when monitored conditions indicate failure, risk, or degraded performance. section 11.1.4

Orchestration tools query metadata tables, emit metrics to observability systems, and trigger alerts for signals such as excessive snapshots, delete files, or uncompacted data. section 11.1.4

Compaction failure

A failed compaction task records an open-files error and triggers the maintenance.compaction_failure alert. section 11.1.4

[2025-10-01 02:00:12,345] {taskinstance.py:1064} INFO - Starting task: compact_orders_table
[2025-10-01 02:00:13,678] {sql.py:76} INFO - Running SQL: CALL iceberg.system.rewrite_data_files('db.orders')
[2025-10-01 02:00:20,982] {sql.py:81} ERROR - Compaction failed: Too many open files
[2025-10-01 02:00:21,104] {taskinstance.py:1234} ERROR - Task failed with exception: OSError: [Errno 24] Too many open files
[2025-10-01 02:00:21,105] {taskinstance.py:1300} INFO - Marking task as FAILED
[2025-10-01 02:00:21,200] {taskinstance.py:1421} INFO - Triggering alert: maintenance.compaction_failure

Follow the task log from compaction start through failure detection and alert triggering. section 11.1.4

How Architecting an Apache Iceberg Lakehouse covers it

How deep it goes
Connects metadata queries to emitted metrics and alerts, but stops short of specifying alert rules or delivery configurations.
Examples
Uses snapshot age, delete-file counts, uncompacted-file size, small-file counts, and compaction failure logs.
What it assumes
Assumes familiarity with Iceberg maintenance tasks, metadata tables, and an external metrics or observability system.
What you can do after
Operate maintenance workflows with dashboards, trend tracking, and alerts driven by custom metrics.
How it connects
Connects Iceberg metadata tables, orchestration tools, observability, maintenance workflows, and monitoring platforms.

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This explainer was generated by Manning's knowledge graph from the text of Architecting an Apache Iceberg Lakehouse. The section links point to the parts of the book it draws on.