Avoid Hadoop interfaces and classes in codecs
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描述
Currently the codecs implemented by Parquet implement the Hadoop Configurable and CompressionCodec interfaces. As part of the effort to decouple from Hadoop there need to be alternatives to these Hadoop implementations such that users are not forced to load Hadoop classes for this purpose at runtime.
**Reporter**: [Atour Mousavi Gourabi](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=amousavigourabi) / @amousavigourabi
#### Related issues:
- [Parquet without Hadoop dependencies](https://github.com/apache/parquet-java/issues/2473) (is related to)
- [Add interface layer between Parquet and Hadoop Configuration](https://github.com/apache/parquet-java/issues/2812) (is related to)
**Note**: *This issue was originally created as [PARQUET-2353](https://issues.apache.org/jira/browse/PARQUET-2353). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*
贡献指南
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调研方向
首先阅读有关移除 Hadoop 依赖项以及在 Parquet 和 Hadoop Configuration 之间添加接口层的相关 issue,然后检查当前使用 Hadoop Configurable 和 CompressionCodec 的 codec 实现。完成的标准是用户可以使用这些 codec,而无需在运行时加载 Hadoop 类,并且替代接口和兼容性行为由这项相关工作定义。
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- java
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- data-engineering
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