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I had searched in the issues and found no similar optimization requirement.
Description
en:
Currently, paimon is used as a cache medium for data source information and monitoring data. However, paimon's strong dependence on hadoop leads to a series of dependency and data problems that need to be optimized.
Option 1: Use spi method to expand and add new cache media of type sqllite or h2
Option 2: Directly use sqllite or h2 to replace paimon
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Description
en:
Currently, paimon is used as a cache medium for data source information and monitoring data. However, paimon's strong dependence on hadoop leads to a series of dependency and data problems that need to be optimized.
cn:
当前使用 paimon 作为数据源信息和监控数据的缓存介质,但是 paimon 强依赖 hadoop 导致一系列依赖和数据问题, 需要优化
方案一: 使用 spi 方式进行扩展新增类型为 sqllite 或者 h2 的缓存介质
方案 二: 直接使用 sqllite 或者 h2 替换掉paimon
Are you willing to submit a PR?
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