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Description
When reading results with values larger than the ChunkedInputBuffer's default capacity, a non-descriptive error gets triggered.
It would be nice to have the buffer capacities configurable along with a specific error message.
I'm currently using this as a workaround:
class LargeChunkedInputBuffer(ChunkedInputBuffer):
def __init__(self, capacity=4194304):
super().__init__(capacity)
neo4j.bolt.connection.ChunkedInputBuffer = LargeChunkedInputBuffer
I realize it's not the best idea to store large values in Neo4j but as long as it's not prohibited they should be readable.
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