- Structured Streaming production checklist for Azure Databricks - checkpoints, rate limits, state, idempotent sinks and monitoringDatabricks on Azure · 9 Nov 2026
- Delta stream fails with 'Detected a data update in the source table': skipChangeCommits or Change Data Feed?Databricks on Azure · 7 Nov 2026
- Auto Loader stream stopped after a new column: schema evolution modes and rescued dataDatabricks on Azure · 6 Nov 2026
- Delta small files from streaming tables: optimized writes, auto compaction and safe OPTIMIZEDatabricks on Azure · 6 Nov 2026
- Renaming or dropping a Delta column broke the streaming jobs: column mapping, schema tracking and safe rolloutData Platform · 3 Nov 2026
- Spark Kafka stream fails with failOnDataLoss: offsets out of range, aged-out data and recreated topicsData Platform · 2 Nov 2026
- Sev1: Databricks streaming job won't restart after a code change — checkpoint incompatibility and safe recoveryDatabricks on Azure · 31 Oct 2026
- foreachBatch MERGE in Azure Databricks: duplicates after restarts, 'multiple source rows matched' and merges that get slower every dayDatabricks on Azure · 28 Oct 2026
- Spark Structured Streaming state keeps growing: watermarks that don't work, unbounded dropDuplicates and stream-stream joinsData Platform · 28 Oct 2026
- Optimization: cutting Structured Streaming cost on Azure Databricks - triggers, availableNow, state store and stream packingDatabricks on Azure · 25 Oct 2026
- Sev1: Auto Loader stream stuck or failing — checkpoint, schema and notification problemsDatabricks on Azure · 25 Oct 2026
- Sev1: Databricks streaming job falling behind Event Hubs — lag growing, data hours lateDatabricks on Azure · 25 Oct 2026
- Transformation: from hourly batch ETL to streaming with Kafka and Spark Structured StreamingData Platform · 25 Oct 2026