Databricks now supports on-demand state repartitioning for Apache Spark Structured Streaming, allowing users to resize partitions without rebuilding checkpoint state, enabling more flexible tuning and scaling of stateful streaming queries. This feature is available in Databricks Runtime 18 and above with the RocksDB state store provider. AI summary
Firehose
Filtered to tagged “state repartitioning” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives
Browse by tag
artificial intelligence 89continual learning 27AI 23AI safety 13reinforcement learning 13agentic coding 12open-weight models 12AI agents 10machine learning 9AI ethics 8cybersecurity 8existential risk 8language models 8natural language processing 8ethics 7Reinforcement learning 6Diffusion models 5large language models 5multi-agent systems 5open-source 5recursive self-improvement 5robotics 5security 5software development 5Agentic AI 4artificial general intelligence 4mathematics 4Recursive self-improvement 4agents 3AI infrastructure 3