Ability to batch messages in topic reader #491
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vgvoleg
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🌋 Here are results of SLO test for Python SDK over Table Service: |
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🌋 Here are results of SLO test for Python SDK over Query Service: |
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rekby
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Sep 26, 2024
| _state_changed: asyncio.Event | ||
| _closed: bool | ||
| _message_batches: typing.Deque[datatypes.PublicBatch] | ||
| _message_batches: typing.Dict[int, datatypes.PublicBatch] |
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| _message_batches: typing.Dict[int, datatypes.PublicBatch] | |
| _message_batches: typing.Dict[int, datatypes.PublicBatch] # keys are partition session ID |
| self._state_changed.clear() | ||
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| def _get_first_batch(self) -> typing.Tuple[int, datatypes.PublicBatch]: | ||
| first_id, batch = self._message_batches.popitem(last=False) |
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first_id -> partition_session_id - for understand mean of the number
| def _add_batch_to_queue(self, batch: datatypes.PublicBatch): | ||
| part_sess_id = batch._partition_session.id | ||
| if part_sess_id in self._message_batches: | ||
| self._message_batches[part_sess_id].messages.extend(batch.messages) |
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What about implement _push/_pop method for PublicBatch? it will be easer refctor internals in the future.
| return len(stream_reader._message_batches[partition_session_id].messages) | ||
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| initial_batches = batch_count() | ||
| initial_batch_size = batch_size() if not new_batch else 0 |
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what about invert condition?
Suggested change
| initial_batch_size = batch_size() if not new_batch else 0 | |
| initial_batch_size = 0 if new_batch else batch_size() |
rekby
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Sep 27, 2024
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