2019-07-12 02:10:28 +02:00
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import uvloop, asyncio, sqlite3, time, sys
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2019-07-12 01:20:58 +02:00
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from concurrent.futures import ProcessPoolExecutor
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from contextvars import ContextVar
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db_path = '/tmp/wallet-server/claims.db'
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db = ContextVar('db')
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def init():
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conn = sqlite3.connect(db_path)
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db.set(conn)
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def reader():
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conn = db.get()
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2019-07-12 02:10:28 +02:00
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start = time.time()
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conn.execute("""
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SELECT
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claimtrie.claim_hash as is_controlling,
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claimtrie.last_take_over_height,
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claim.claim_hash, claim.txo_hash,
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claim.claims_in_channel,
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claim.height, claim.creation_height,
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claim.activation_height, claim.expiration_height,
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claim.effective_amount, claim.support_amount,
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claim.trending_group, claim.trending_mixed,
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claim.trending_local, claim.trending_global,
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claim.short_url, claim.canonical_url,
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claim.channel_hash, channel.txo_hash AS channel_txo_hash,
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channel.height AS channel_height, claim.signature_valid
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FROM claim
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LEFT JOIN claimtrie USING (claim_hash)
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LEFT JOIN claim as channel ON (claim.channel_hash=channel.claim_hash)
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WHERE
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EXISTS(
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SELECT 1 FROM tag WHERE claim.claim_hash=tag.claim_hash
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AND tag IN ('alexandria ocasio-cortez', 'Alien', 'alt news', 'art', 'audio',
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'automotive', 'beliefs', 'blockchain', 'dog grooming', 'economics', 'food',
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'learning', 'mature', 'nature', 'news', 'physics', 'science', 'technology')
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)
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AND NOT EXISTS(
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SELECT 1 FROM tag WHERE claim.claim_hash=tag.claim_hash AND tag IN ('nsfw', 'xxx', 'mature')
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)
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ORDER BY claim.height DESC, claim.normalized ASC
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LIMIT 20 OFFSET 100
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""").fetchall()
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elapsed = time.time() - start
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return elapsed
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2019-07-12 01:20:58 +02:00
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async def run_times(executor, iterations, show=True):
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start = time.time()
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2019-07-12 02:10:28 +02:00
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timings = await asyncio.gather(*(
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asyncio.get_running_loop().run_in_executor(executor, reader) for _ in range(iterations)
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))
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total = time.time() - start
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2019-07-12 01:20:58 +02:00
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if show:
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2019-07-12 02:10:28 +02:00
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avg = sum(timings)/len(timings)
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print(f"{iterations:4}: {total:.5f}ms total concurrent, {len(timings)*avg:.5f}ms total sequential (avg*runs)")
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print(f" {total/len(timings):.5f}ms/query concurrent (total/runs)")
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print(f" {avg:.5f}ms/query actual average (sum(queries)/runs)")
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sys.stdout.write(' sample:')
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for i, t in zip(range(10), timings[::-1]):
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sys.stdout.write(f' {t:.5f}ms')
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print(' ...\n' if len(timings) > 10 else '\n')
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2019-07-12 01:20:58 +02:00
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async def main():
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executor = ProcessPoolExecutor(4, initializer=init)
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await run_times(executor, 4, show=False)
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await run_times(executor, 1)
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2019-07-12 02:10:28 +02:00
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await run_times(executor, 2**3)
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await run_times(executor, 2**5)
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await run_times(executor, 2**7)
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await run_times(executor, 2**9)
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await run_times(executor, 2**11)
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await run_times(executor, 2**13)
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2019-07-12 01:20:58 +02:00
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executor.shutdown(True)
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if __name__ == '__main__':
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2019-07-12 02:10:28 +02:00
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uvloop.install()
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2019-07-12 01:20:58 +02:00
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asyncio.run(main())
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