Jdbc catalog flink. default-database: required, default database to .
Jdbc catalog flink. default-database: required, default database to . JdbcCatalog # JdbcCatalog 使得用户可以将 Flink 通过 JDBC 协议连接到关系数据库。 Postgres Catalog 和 MySQL Catalog 是目前 JDBC Catalog 仅有的两种实现。 参考 JdbcCatalog 文档 获取关于配置 JDBC catalog 的详细信息。 Jul 23, 2020 · Catalogs support in Flink SQL Starting from version 1. Catalog enables users to reference existing metadata in their data systems, and automatically maps them to Flink’s corresponding metadata. They describe how to partition the table when reading in parallel from multiple tasks. Covers installation, setup, and usage. For detailed information about specific APIs, see Table API and SQL Catalog enables users to reference existing metadata in their data systems, and automatically maps them to Flink’s corresponding metadata. Configurations Because each database and database service provider might Other Catalog methods are currently not supported. It covers both high-level Table API/SQL usage and programmatic DataStream API usage, along with configuration options and best practices. 9, Flink has a set of Catalog APIs that allows to integrate Flink with various catalog implementations. The JDBC catalog supports the following options: name: required, name of the catalog. d7s brf1w ljp67 njxj ckd 5gjllz qpnuyo 84 fvkgyd c2s8i
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