Primary caching 14: don't bake LatestAt(T-1) results into low-level range queries
#4793
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teh-cmc
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Jan 12, 2024
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) _99% grunt work, the only somewhat interesting thing happens in `query_archetype`_ Our query model always operates with two distinct timestamps: the timestamp you're querying for (`query_time`) vs. the timestamp of the data you get back (`data_time`). This is the result of our latest-at semantics: a query for a point at time `10` can return a point at time `2`. This is important to know when caching the data: a query at time `4` and a query at time `8` that both return the data at time `2` must share the same single entry or the memory budget would explode. This PR just updates all existing latest-at APIs so they return the data time in their response. This was already the case for range APIs. Note that in the case of `query_archetype`, which is a compound API that emits multiple queries, the data time of the final result is the most recent data time among all of its components. A follow-up PR will use the data time to deduplicate entries in the latest-at cache. --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800
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Jan 15, 2024
…ation (#4712) Introduces the notion of cache deduplication: given a query at time `4` and a query at time `8` that both returns data at time `2`, they must share a single cache entry. I.e. starting with this PR, scrubbing through the OPF example will not result if more cache memory being used. --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800
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Jan 15, 2024
Introduces a dedicated cache bucket for timeless data and properly forwards the information through all APIs downstream. --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800
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Jan 15, 2024
This implements cache invalidation via a `StoreSubscriber`. We keep track of the timestamps to invalidate in the `StoreSubscriber`, but we only do the actual removal of components at query time. This is similar to how we handle bucket sorting in the main store: doing it at query time has the benefit that the frame time effectively behaves as natural micro-batching mechanism that vastly improves performance. --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800
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Jan 15, 2024
) The primary cache now tracks memory statistics and display them in the memory panel. This immediately highlights a very stupid thing that the cache does: missing optional components that have been turned into streams of default values by the `ArchetypeView` are materialized as such :man_facepalming: - #4779 https://github.com/rerun-io/rerun/assets/2910679/876b264a-3f77-4d91-934e-aa8897bb32fe - Fixes #4730 --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800
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Jan 15, 2024
**Prefer on a per-commit basis, stuff has moved around** Range queries are back!... in the most primitive form possible. No invalidation, no bucketing, no optimization, no nothing. Just putting everything in place. https://github.com/rerun-io/rerun/assets/2910679/a65281e4-9843-4598-9547-ce7e45197995 --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800
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#4785) Title. https://github.com/rerun-io/rerun/assets/2910679/cf2c2748-a461-49fe-8124-c2a94164c956 --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800
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The most obvious and most important performance optimization when doing cached range queries: only upsert data at the edges of the bucket / ring-buffer. This works because our buckets (well, singular, at the moment) are always dense. - #4793  - #4800:  --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800
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Jan 23, 2024
Range queries used to A) return the frame a T-1, B) accumulate state starting at T-1 and then C) yield frames starting at T. A) was a huge issue for many reasons, which #4793 took care of by eliminating both A) and B). But we need B) for range queries to be context-free, i.e. to be guaranteed that `Range(5, 10)` and `Range(4, 10)` will return the exact same data for frame `5`. This is crucial for multi-tenant settings where those 2 example queries would share the same cache. It also is the nicer-nicer version of the range semantics that we wanted anyway, I just didn't realize back then that it would require so little changes, or I would've gone straight for that. --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800 - #4851 - #4852 - #4853 - #4856
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Jan 23, 2024
Simply add a timeless path for the range cache, and actually only iterate over the range the user asked for (we were still blindly iterating over everything until now). Also some very minimal clean up related to #4832, but we have a long way to go... - #4832 --- - Fixes #4821 --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800 - #4851 - #4852 - #4853 - #4856
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Jan 23, 2024
Implement range invalidation and do a quality pass over all the size tracking stuff in the cache. **Range caching is now enabled by default!** - Fixes #4809 - Fixes #374 --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800 - #4851 - #4852 - #4853 - #4856
teh-cmc
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Jan 23, 2024
- Quick sanity pass over all the intermediary locks and refcounts to make sure we don't hold anything for longer than we need. - Get rid of all static globals and let the caches live with their associated stores in `EntityDb`. - `CacheKey` no longer requires a `StoreId`. --- - Fixes #4815 --- Part of the primary caching series of PR (index search, joins, deserialization): - #4592 - #4593 - #4659 - #4680 - #4681 - #4698 - #4711 - #4712 - #4721 - #4726 - #4773 - #4784 - #4785 - #4793 - #4800 - #4851 - #4852 - #4853 - #4856
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Our low-level range APIs used to bake the latest-at results at
range.min - 1into the range results, which is a big problem in a multi tenant setting becauserange(1, 10)vs.latestat(1) + range(2, 10)are two completely different things.Side-effect: a plot with a window of len 1 now behaves as expected:
24-01-12_10.12.19.patched.mp4
Part of the primary caching series of PR (index search, joins, deserialization):
VecDequeextensions #4592FlatVecDeque#4593LatestAt(T-1)results into low-level range queries #4793Checklist
mainbuild: app.rerun.ionightlybuild: app.rerun.io