The `BatchedSerializer` class is a part of the `pyspark.serializers` module in Python's PySpark library. It is responsible for serializing and deserializing data objects in a batched manner.
When data objects need to be sent over the network or stored in a persistent storage, they are serialized into a byte stream. The `BatchedSerializer` optimizes this process by batching multiple objects together, reducing the overhead associated with serialization and deserialization.
This serializer provides efficient handling of data objects in PySpark's distributed computing framework, where large volumes of data are processed in parallel across a cluster of machines. By minimizing the serialization overhead, the `BatchedSerializer` helps improve the overall performance and efficiency of data processing in PySpark applications.
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