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async_cluster: optimisations (redis#2205)
- return true from execute_pipeline if there are any errors - use todo list to speedup retries - store initialisation node in CommandsParser object - add sync context manager for pipeline - use if/else instead of try/except - make command a function argument in _determine_nodes & _determine_slot - add async cluster pipeline benchmark script
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Original file line number | Diff line number | Diff line change |
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import asyncio | ||
import functools | ||
import time | ||
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import aioredis_cluster | ||
import aredis | ||
import uvloop | ||
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import redis.asyncio as redispy | ||
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def timer(func): | ||
@functools.wraps(func) | ||
async def wrapper(*args, **kwargs): | ||
tic = time.perf_counter() | ||
await func(*args, **kwargs) | ||
toc = time.perf_counter() | ||
return f"{toc - tic:.4f}" | ||
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return wrapper | ||
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@timer | ||
async def warmup(client): | ||
await asyncio.gather( | ||
*(asyncio.create_task(client.exists(f"bench:warmup_{i}")) for i in range(100)) | ||
) | ||
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@timer | ||
async def run(client): | ||
data_str = "a" * size | ||
data_int = int("1" * size) | ||
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for i in range(count): | ||
with client.pipeline() as pipe: | ||
await ( | ||
pipe.set(f"bench:str_{i}", data_str) | ||
.set(f"bench:int_{i}", data_int) | ||
.get(f"bench:str_{i}") | ||
.get(f"bench:int_{i}") | ||
.hset("bench:hset", str(i), data_str) | ||
.hget("bench:hset", str(i)) | ||
.incr("bench:incr") | ||
.lpush("bench:lpush", data_int) | ||
.lrange("bench:lpush", 0, 300) | ||
.lpop("bench:lpush") | ||
.execute() | ||
) | ||
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async def main(loop): | ||
arc = aredis.StrictRedisCluster( | ||
host=host, | ||
port=port, | ||
password=password, | ||
max_connections=2**31, | ||
max_connections_per_node=2**31, | ||
readonly=False, | ||
reinitialize_steps=count, | ||
skip_full_coverage_check=True, | ||
decode_responses=False, | ||
max_idle_time=count, | ||
idle_check_interval=count, | ||
) | ||
print(f"{loop} {await warmup(arc)} aredis") | ||
print(await run(arc)) | ||
arc.connection_pool.disconnect() | ||
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aiorc = await aioredis_cluster.create_redis_cluster( | ||
[(host, port)], | ||
password=password, | ||
state_reload_interval=count, | ||
idle_connection_timeout=count, | ||
pool_maxsize=2**31, | ||
) | ||
print(f"{loop} {await warmup(aiorc)} aioredis-cluster") | ||
print(await run(aiorc)) | ||
aiorc.close() | ||
await aiorc.wait_closed() | ||
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async with redispy.RedisCluster( | ||
host=host, | ||
port=port, | ||
password=password, | ||
reinitialize_steps=count, | ||
read_from_replicas=False, | ||
decode_responses=False, | ||
max_connections=2**31, | ||
) as rca: | ||
print(f"{loop} {await warmup(rca)} redispy") | ||
print(await run(rca)) | ||
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if __name__ == "__main__": | ||
host = "localhost" | ||
port = 16379 | ||
password = None | ||
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count = 10000 | ||
size = 256 | ||
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asyncio.run(main("asyncio")) | ||
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uvloop.install() | ||
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asyncio.run(main("uvloop")) |
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