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We often have new self-managed users asking us to provide recommendations around orchestration and how to scale to dozens, if not hundreds, of nodes. While technologies such as Kubernetes have made the deployment of multiple instances of stateless applications relatively simple, this pattern should, in nearly all cases, not be required for ClickHouse. Unlike other databases, which may be restricted to a machine size due to inherent limits, e.g., JVM heap size, ClickHouse was designed from the ground up to utilize the full resources of a machine. We commonly find successful deployments with ClickHouse deployed on servers with hundreds of cores, terabytes of RAM, and petabytes of disk space. Most analytical queries have a sort, filter, and aggregation stage. Each of these can be parallelized independently and will, by default, use as many threads as cores, thus utilizing the full machine resources for a query.
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每卖一台 BaaS 车（电池租赁），蔚来就要把电池卖给蔚能（蔚能不并表蔚来财务报表），让蔚能提供换电服务，这等于将蔚来的电池资产转移给了蔚能，极大减轻了蔚来的资产负债表压力，至此蔚来既可以享受换电模式带来的用户体验带来的收益增加，但在财报里又不需要背负相应的资产摊销压力，此架构的设计确实高明。。关于这个话题，whatsapp提供了深入分析