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Another critical piece is the URL deduplication system. For a pool with millions of URLs, storing all visited URLs in memory is impossible. A Bloom filter (using the `phpa` library or implementing one with bit arrays in Redis) offers a probabilistic solution that has a tiny false positive rate but uses minimal space. Alternatively, a Redis set with expiration (`EXPIRE`) can be used for smaller crawls. The code snippet for adding a URL: `if (!$bloom->mightContain($url)) { $bloom->add($url); $redis->lpush('spider:queue', $url); }`. However, caution is needed – Bloom filters cannot delete items, so periodically resetting them or using a partitioned approach is wise.
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