Databricks tables suffer from small files and skew
Data engineering3 posts from 3 people3d active+22 posts in the last 7 days, 0 the 7 days before (rising)
Posts per day
The posts behind it
3, newest first[Docs] Document `spark.databricks.delta.optimize.maxThreads` in Compaction (bin-packing) sectionPage: https://docs.delta.io/optimizations-oss/#compaction-bin-packing Description The note block in the Compaction (bin-packing) section documents spark.databricks.delta.optimize.repartition.enabled. It does not mention spark.databricks.delta.optimize.maxThreads, which sets the...delta-io/delta · kckohOpen ↗Small high frequent data ingestion cheaply...data to be available in our data products near realtime.. Databricks makes it extremely hard to achieve this goal.. I tried doing 5 min schedule poc pipeline and the bill was 1000$ for 1 pipeline per month which is insane.. In this poc i did streaming table raw(reads from...r/databricks · u/PerceptionBig940Open ↗How do you debug a slow Databricks query?...joins, partitioning, or cluster resources?. What steps do you follow to find the actual bottleneck?.r/databricks · u/No_Ambition8323Open ↗
Companies and products named
About this problem
Evidence
3 posts from 3 people in 2 places, about 1 a week over 31 days. Mostly on r/databricks, delta-io/delta. Tools named alongside: Apache Spark, Microsoft Azure, Delta Lake.
Frustration Frustration 2 of 3· Seen on Reddit, GitHub issues
How it was grouped
Posts that state a pain and match the "file-formats" rule about Databricks. First post Sep 22, 2026, latest Oct 22, 2026. Corroborated: 3 or more posts from 2 or more people or places. Method
The same problem elsewhere
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History
Databricks tables suffer from small files and skew (3 posts)