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* add update_concurrency to control the parallelism of updating shards * reformat the files * reformat * add update_concurrency control to shard updates * use unwrap_or * test using buffer_ordered * use buffered (testing) * Pre-allocate space for update futures * use NonZeroUsize * linter * use NonZeroUsize in the test * consensus test for update_concurrency * update config commit --------- Co-authored-by: Di Zhao <diz@twitter.com> Co-authored-by: timvisee <tim@visee.me> Co-authored-by: generall <andrey@vasnetsov.com>
36 lines
909 B
Python
36 lines
909 B
Python
import logging
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import pathlib
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from .fixtures import create_collection, upsert_random_points, count_counts
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from .utils import *
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger()
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N_PEERS = 3
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N_SHARDS = 1
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N_REPLICAS = 2
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COLLECTION_NAME = "test_collection"
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def test_listener_node(tmp_path: pathlib.Path):
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assert_project_root()
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peer_api_uris, peer_dirs, bootstrap_uri = start_cluster(
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tmp_path,
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N_PEERS,
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extra_env={
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"QDRANT__STORAGE__UPDATE_CONCURRENCY": "1",
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}
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)
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create_collection(peer_api_uris[0], shard_number=N_SHARDS, replication_factor=N_REPLICAS)
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wait_collection_exists_and_active_on_all_peers(collection_name=COLLECTION_NAME, peer_api_uris=peer_api_uris)
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upsert_random_points(peer_api_uris[0], 100)
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for uri in peer_api_uris:
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count = count_counts(uri, COLLECTION_NAME)
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assert count == 100
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