mirror of
https://github.com/dragonflydb/dragonfly.git
synced 2024-12-15 17:51:06 +00:00
104 lines
2.7 KiB
Python
Executable file
104 lines
2.7 KiB
Python
Executable file
import redis.asyncio as aioredis
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import argparse
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import asyncio
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"""
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This script iterates over all keys and "recycles" them.
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Recycling is done by DUMPing the key first and then re-creating it with EXPIRE.
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This will trigger re-allocation of internal data structures in order to reduce
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memory fragmentation.
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"""
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SCRIPT = """
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local recycled = 0
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for _, key in ipairs(KEYS) do
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local ttl = redis.call('PTTL', key)
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local dumpedData = redis.call('DUMP', key)
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if dumpedData then
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redis.call('RESTORE', key, 0, dumpedData, 'REPLACE')
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if ttl > 0 then
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redis.call('PEXPIRE', key, ttl)
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end
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recycled = recycled + 1
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end
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end
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return recycled
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"""
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total_recycled = 0
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async def workerfn(client_supplier, sha, queue):
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global total_recycled
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r = client_supplier()
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while True:
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keys = await queue.get()
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try:
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recycled = await r.evalsha(sha, len(keys), *keys)
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except Exception as e:
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raise SystemExit(e)
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if isinstance(recycled, int):
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total_recycled += recycled
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else:
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print("Error recycling", recycled)
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queue.task_done()
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async def infofn():
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while True:
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await asyncio.sleep(0.5)
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print("Keys processed:", total_recycled)
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async def main(client_supplier, scan_type, num_workers, queue_size, batch_size):
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r = client_supplier()
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sha = await r.script_load(SCRIPT)
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queue = asyncio.Queue(maxsize=queue_size)
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workers = [
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asyncio.create_task(workerfn(client_supplier, sha, queue)) for _ in range(num_workers)
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]
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info_worker = asyncio.create_task(infofn())
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keys = []
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async for key in r.scan_iter("*", count=batch_size * 2, _type=scan_type):
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keys.append(key)
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if len(keys) >= batch_size:
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await queue.put(keys)
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keys = []
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await queue.put(keys)
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await queue.join()
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info_worker.cancel()
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for w in workers:
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w.cancel()
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await asyncio.gather(*workers, info_worker, return_exceptions=True)
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print("Recycled in total:", total_recycled)
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arg_parser = argparse.ArgumentParser()
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arg_parser.add_argument("--workers", type=int, default=8)
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arg_parser.add_argument("--batch", type=int, default=20)
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arg_parser.add_argument(
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"--type", type=str, default=None, help="Process keys only of specified type"
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)
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arg_parser.add_argument("--db", type=int)
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arg_parser.add_argument("--port", type=int, default=6379)
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arg_parser.add_argument("--host", type=str, default="localhost")
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args = arg_parser.parse_args()
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def client_supplier():
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return aioredis.StrictRedis(db=args.db, port=args.port, host=args.host)
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asyncio.run(main(client_supplier, args.type, args.workers, args.workers * 2, args.batch))
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