系统支持从 MySQL、PostgreSQL、Kafka 等源端自动获取表结构信息，智能映射至 Paimon、Iceberg、Hudi 等湖仓格式，并自动生成建表语句与执行脚本。用户无需编写代码，即可在目标端一键创建与源端一致的 300+ 张表，实现元数据快速同步。
But, range queries are not supported by the GIN index; asking for all products with the SIZE variations having value in a certain number range will not utilize the index. In cases like this, it is necessary to move some fields out of JSON documents to separate columns/tables and index them traditionally, using old and proven B-trees. In these instances, Mongo is more forgiving and flexible. It allows for strategies of the kind:。服务器推荐对此有专业解读
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