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File Systems & Storage
Memory-Centric Storage System
★ 4.2
Hadoop Distributed File System
★ 4.4
pip install alluxiopip install hdfspip install alluxiopip install hdfsPython data engineers use Alluxio to accelerate PySpark pipelines that repeatedly read the same S3 or HDFS data. By mounting S3 data into Alluxio's memory cache, subsequent Spark reads hit in-memory cache instead of object storage — reducing read latency from seconds to milliseconds for iterative ML training or repeated dashboard queries.
Python data engineers interact with HDFS using `pyarrow.fs.HadoopFileSystem` or the `hdfs` Python client. PySpark accesses HDFS transparently via `spark.read.parquet('hdfs:///path/')` — the cluster configuration points Spark to the NameNode. Python scripts that manage file operations (listing, deleting, moving files) use the `subprocess` module to call `hdfs dfs` commands or the WebHDFS REST API.
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