# 数据湖连接器

数据湖连接器 (connector) 使得 Trino 和 Spark 等计算引擎能够以结构化表格的形式查询数据。

Alluxio 支持的连接器包括：

* [Apache Hive](https://hive.apache.org/)
* [Apache Iceberg](https://iceberg.apache.org/)
* [Delta Lake](https://delta.io/)

配置各连接器的说明见各自的计算引擎文档。

* [Trino](https://documentation.alluxio.io/ee-da-cn/compute/pages/xIUhVARhNbl4mIf9g9ml#配置-additionalCatalogs)

## 已知限制

### Iceberg

考虑到 Iceberg 通过文件管理元数据的特性，强烈建议避免缓存相应的元数据文件。如果元数据文件被持久化到缓存中，则在访问相关文件时可能会出现错误和/或警告。

确定元数据文件的位置后，通过[缓存过滤功能](/ee-da-cn/cache/cache-filter-policy.md)将这些路径设置为 `skipCache`。

#### 写入 HDFS 时缓存数据

当使用 HDFS 作为 UFS 写入数据时，即使将写入类型配置为将数据持久化到缓存，数据在写入时也不会被缓存。只有在对新写入的数据进行冷读取时，数据才会持久化到 Alluxio 缓存中。请注意，使用 Trino 连接到 HDFS 时可观察到这种行为，但使用 Trino 连接到 S3 时则观察不到。


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