Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/15821#discussion_r122280237
--- Diff: python/pyspark/serializers.py ---
@@ -182,6 +182,23 @@ def loads(self, obj):
raise NotImplementedError
+class ArrowSerializer(FramedSerializer):
+ """
+ Serializes an Arrow stream.
+ """
+
+ def dumps(self, obj):
+ raise NotImplementedError
+
+ def loads(self, obj):
+ import pyarrow as pa
+ reader = pa.RecordBatchFileReader(pa.BufferReader(obj))
+ return reader.read_all()
--- End diff --
This will read all batches in a framed byte array from a stream and return.
The stream can have multiple framed byte arrays, so it repeats until end of
stream.
How many batches this reads depends on how it serialized. When calling
`toPandas()`, it collects all batches and then serializes each one to Python as
an iterator. So in this case, `reader.read_all()` will read 1 batch at a time.
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