Something like: `XADD MAXSIZE ~ 2147484000 * foo bar` to cap the stream at 2GB + 1 node.
- UUIDs use a different epoch (15 Oct 1582 vs 1 Jan 1970) - UUIDs count 100 ns blocks instead of ms - UUIDs include a 6 byte "node id" - UUIDs allow only up to 15 bits of "sequence"
I think that last one is the biggest deal, since as currently specced redis allows 64 bits of sequence, which is obviously much bigger than 15. The options I see are either up the time resolution used by redis, encode some of redis's sequence bits into the UUID's time bits, or just live with it as a limitation--in practice 2^15 is a lot of messages to get in a single millisecond (though in cases of clocks jumping back might not be too much).
You'd also need to come up with some thing for the node id, perhaps the first 6 bytes of a cluster node ID or similar.
Since 64 bits is overkill for milliseconds (45 bits covers the next 1000 years or so) I was thinking you could put 2 bytes of the node id in the high order bytes there (perhaps could call this the "clock id"?) and the remaining 4 bytes of the node id could go in the high order bytes of the sequence, which would still leave 32 bits for actual sequence values (but we should only use 26 or so). This means we'd get a translation roughly as follows (numbering bytes and bits from high to low significance):
Redis Version 1 UUID
Timestamp
Byte 0-1 "clock id" Bytes 4&5 of node id
Byte 2-7 millis since 1 Jan 1970 * 10000 => ~45 high order timestamp bits
Sequence
Byte 0-3 "node id" Bytes 0-3 of node id
Byte 4-7
6 bits wasted space ignored
26 bits actual sequence value
13 high order bits => clock sequence
13 low order bits => low order timestamp bits
Another implication of this scheme is that if redis has access to a clock that offers higher than millisecond resolution it could store everything more precise than millisecond into the sequence portion of the id.On a side note it seems that the clock sequence in the UUID is intended to be reset to a random value at start up and every time a clock jump is detected rather than just incremented. Redis could do something similar by incrementing some of the 13 high-order bits of the sequence every time a clock jump is detected (and/or if the 13 low-order bits overflow)
[0]: https://github.com/antirez/redis/commit/1189d90d749c84e98424...
Example:
c - h72gsb32 - 0000 - udoc - l363eofy
The groups, in order, are:
1. 'c' - identifies this as a cuid, and allows you to use it in html entity ids. The fixed value helps keep the ids sequential.
2. Timestamp
3. Counter - a single process might generate the same random string. The weaker the pseudo-random source, the higher the probability. That problem gets worse as processors get faster. The counter will roll over if the value gets too big.
4. Client fingerprint. For example, the first two chars are extracted from the process.pid. The next two chars are extracted from the hostname.
5. Pseudo random (Math.random())