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It seems like useless chatter. The endpoint.start() itself prints a "Running command ... neon_local endpoint start" message too.
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
import threading
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import time
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import pytest
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from fixtures.log_helper import log
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from fixtures.neon_fixtures import NeonEnv, PgBin
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#
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# Test branching, when a transaction is in prepared state
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#
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@pytest.mark.timeout(600)
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def test_lfc_resize(neon_simple_env: NeonEnv, pg_bin: PgBin):
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env = neon_simple_env
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env.neon_cli.create_branch("test_lfc_resize", "empty")
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endpoint = env.endpoints.create_start(
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"test_lfc_resize",
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config_lines=[
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"neon.file_cache_path='file.cache'",
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"neon.max_file_cache_size=1GB",
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"neon.file_cache_size_limit=1GB",
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],
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)
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n_resize = 10
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scale = 10
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def run_pgbench(connstr: str):
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log.info(f"Start a pgbench workload on pg {connstr}")
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pg_bin.run_capture(["pgbench", "-i", f"-s{scale}", connstr])
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pg_bin.run_capture(["pgbench", "-c4", f"-T{n_resize}", "-Mprepared", connstr])
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thread = threading.Thread(target=run_pgbench, args=(endpoint.connstr(),), daemon=True)
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thread.start()
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conn = endpoint.connect()
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cur = conn.cursor()
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for i in range(n_resize):
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cur.execute(f"alter system set neon.file_cache_size_limit='{i*10}MB'")
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cur.execute("select pg_reload_conf()")
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time.sleep(1)
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thread.join()
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