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105f66c4ce
## Problem This test writes ~5GB of data. It is not suitable to run in parallel with all the other small tests in test_runner/regress. via #9537 ## Summary of changes - Move test_parallel_copy into the performance directory, so that it does not run in parallel with other tests
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
from __future__ import annotations
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import asyncio
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from io import BytesIO
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from fixtures.neon_fixtures import Endpoint, NeonEnv
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async def repeat_bytes(buf, repetitions: int):
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for _ in range(repetitions):
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yield buf
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async def copy_test_data_to_table(endpoint: Endpoint, worker_id: int, table_name: str):
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buf = BytesIO()
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for i in range(1000):
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buf.write(
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f"{i}\tLoaded by worker {worker_id}. Long string to consume some space.\n".encode()
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)
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buf.seek(0)
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copy_input = repeat_bytes(buf.read(), 5000)
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pg_conn = await endpoint.connect_async()
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# PgProtocol.connect_async sets statement_timeout to 2 minutes.
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# That's not enough for this test, on a slow system in debug mode.
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await pg_conn.execute("SET statement_timeout='300s'")
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await pg_conn.copy_to_table(table_name, source=copy_input)
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async def parallel_load_same_table(endpoint: Endpoint, n_parallel: int):
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workers = []
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for worker_id in range(n_parallel):
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worker = copy_test_data_to_table(endpoint, worker_id, "copytest")
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workers.append(asyncio.create_task(worker))
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# await all workers
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await asyncio.gather(*workers)
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# Load data into one table with COPY TO from 5 parallel connections
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def test_parallel_copy(neon_simple_env: NeonEnv, n_parallel=5):
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env = neon_simple_env
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endpoint = env.endpoints.create_start("main")
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# Create test table
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conn = endpoint.connect()
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cur = conn.cursor()
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cur.execute("CREATE TABLE copytest (i int, t text)")
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# Run COPY TO to load the table with parallel connections.
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asyncio.run(parallel_load_same_table(endpoint, n_parallel))
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