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Original file line number Diff line number Diff line change
Expand Up @@ -17,19 +17,19 @@

import java.nio.charset.StandardCharsets;
import java.time.Duration;
import java.util.Collections;
import java.util.Optional;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;
import java.util.function.Consumer;
import java.util.function.Function;

import org.springframework.dao.PessimisticLockingFailureException;
import com.sun.istack.internal.Nullable;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisStringCommands.SetOption;
import org.springframework.data.redis.core.Cursor;
import org.springframework.data.redis.core.ScanOptions;
import org.springframework.data.redis.core.types.Expiration;
import org.springframework.lang.Nullable;
import org.springframework.util.Assert;

/**
* {@link RedisCacheWriter} implementation capable of reading/writing binary data from/to Redis in {@literal standalone}
Expand Down Expand Up @@ -179,11 +179,14 @@ public void clean(String name, byte[] pattern) {
wasLocked = true;
}

byte[][] keys = Optional.ofNullable(connection.keys(pattern)).orElse(Collections.emptySet())
.toArray(new byte[0][]);

if (keys.length > 0) {
connection.del(keys);
List<byte[]> keys = new ArrayList<byte[]>();

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Use LinkedList replace ArrayList because the list may be huge.

Cursor<byte[]> cursor = connection.scan(new ScanOptions.ScanOptionsBuilder().match(new String(pattern)).build());
while (cursor.hasNext()) {
byte[] bytes = cursor.next();
keys.add(bytes);
}
if (!keys.isEmpty()) {
connection.del(keys.toArray(new byte[][]{}));

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As the complexity of DEL is O(N), if the number of keys is huge, DEL command could time out as well, right?
Maybe we could do it batch by batch as well?

I was thinking of using UNLINK, but it's only supported in higher Redis version and it's a change of behavior (from sync to async)...

}
} finally {

Expand Down