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Defines configuration settings for individual compute nodes within a distributed processing cluster.
Distinguishing note: Focuses on node-level resource and identity settings, distinct from high-level cluster orchestration.
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Polars is a high-performance columnar data processing library designed for efficient analytical workflows. It functions as a structured data library that organizes information into typed columns, utilizing the Apache Arrow memory format to enable zero-copy data sharing and cache-friendly, vectorized operations. The engine is built to handle large-scale tabular datasets, providing both local and distributed analytical runtimes that scale from single-machine environments to multi-node clusters. The project distinguishes itself through a sophisticated lazy query engine that constructs abstract e
Defines cluster node settings including identifiers, license paths, and memory limits for cluster deployments.