Reuse the existing `reclaim_timer` for stall detection.
* Since a timer is now set around every reclaim and compaction, use a
coarse one for speed.
* Set log level according to conditions (stalls deserve a warning).
* Add compaction/migration/eviction/allocation stats.
Refs #4186.
Signed-off-by: Michael Livshin <michael.livshin@scylladb.com>
Introduced in d72b91053b.
If region was not compactible, for example because it has dense
segments, we would keep evicting even though the target for reclaimed
segments was met. In the worst case we may have to evict whole cache.
Refs #9038 (unlikely to be the cause though)
Message-Id: <20210720104039.463662-1-tgrabiec@scylladb.com>
lsa_buffer allocations are aligned to 4K. If smaller size is
requested, whole 4K is used. However, only requested size was used in
accounting segment occupancy. This can confuse reclaimer which may
think the segment is sparse while it is actually dense, and compacting
it will yield no or little gain. This can cause inefficient memory
reclamation or lack of progress.
Refs #9038
Message-Id: <20210720104110.463812-1-tgrabiec@scylladb.com>
_free_space may be initialized with garbage so kind() getter should
only look at the bit which corresponds to the kind. Misclasification
of segment as being of different kind may result in a hang during
segment compaction.
Surfaced in debug mode build where the field is filled with 0xbebebebe.
Introduced in b5ca0eb2a2.
Fixes#9057
Message-Id: <20210719232734.443964-1-tgrabiec@scylladb.com>
"
The main goal of this series is to improve efficiency of reads from large partitions by
reducing amount of I/O needed to read the sstable index. This is achieved by caching
index file pages and partition index entries in memory.
Currently, the pages are cached by individual reads only for the duration of the read.
This was done to facilitate binary search in the promoted index (intra-partition index).
After this series, all reads share the index file page cache, which stays around even after reads stop.
The page cache is subject to eviction. It uses the same region as the current row cache and shares
the LRU with row cache entries. This means that LRU objects need to be virtualized. This series takes
an easy approach and does this by introducing a virtual base class. This adds an overhead to row cache
entry to store the vtable pointer.
SStable indexes have a hierarchy. There is a summary, which is a sparse partition key index into the
full partition index. This one is already kept in memory. The partition index is divided by the summary
into pages. Each entry in the partition index contains promoted index, which is a sparse index into atoms
identified by the clustering key (rows, tombstones).
In order to read the promoted index, the reader needs to read the partition index entry first.
To speed this up, this series also adds caching of partition index entries. This cache survives
reads and is subject to eviction, just like the index file page cache. The unit of caching is
the partition index page. Without this cache, each access to promoted index would have to be
preceded with the parsing of the partition index page containing the partition key.
Performance testing results follow.
1) scylla-bench large partition reads
Populated with:
perf_fast_forward --run-tests=large-partition-skips --datasets=sb-large-part-ds1 \
-c1 -m1G --populate --value-size=1024 --rows=10000000
Single partition, 9G data file, 4MB index file
Test execution:
build/release/scylla -c1 -m4G
scylla-bench -workload uniform -mode read -limit 1 -concurrency 100 -partition-count 1 \
-clustering-row-count 10000000 -duration 60m
TL;DR: after: 2x throughput, 0.5 median latency
Before (c1daf2bb24):
Results
Time (avg): 5m21.033180213s
Total ops: 966951
Total rows: 966951
Operations/s: 3011.997048812112
Rows/s: 3011.997048812112
Latency:
max: 74.055679ms
99.9th: 63.569919ms
99th: 41.320447ms
95th: 38.076415ms
90th: 37.158911ms
median: 34.537471ms
mean: 33.195994ms
After:
Results
Time (avg): 5m14.706669345s
Total ops: 2042831
Total rows: 2042831
Operations/s: 6491.22243800942
Rows/s: 6491.22243800942
Latency:
max: 60.096511ms
99.9th: 35.520511ms
99th: 27.000831ms
95th: 23.986175ms
90th: 21.659647ms
median: 15.040511ms
mean: 15.402076ms
2) scylla-bench small partitions
I tested several scenarios with a varying data set size, e.g. data fully fitting in memory,
half fitting, and being much larger. The improvement varied a bit but in all cases the "after"
code performed slightly better.
Below is a representative run over data set which does not fit in memory.
scylla -c1 -m4G
scylla-bench -workload uniform -mode read -concurrency 400 -partition-count 10000000 \
-clustering-row-count 1 -duration 60m -no-lower-bound
Before:
Time (avg): 51.072411913s
Total ops: 3165885
Total rows: 3165885
Operations/s: 61988.164024260645
Rows/s: 61988.164024260645
Latency:
max: 34.045951ms
99.9th: 25.985023ms
99th: 23.298047ms
95th: 19.070975ms
90th: 17.530879ms
median: 3.899391ms
mean: 6.450616ms
After:
Time (avg): 50.232410679s
Total ops: 3778863
Total rows: 3778863
Operations/s: 75227.58014424688
Rows/s: 75227.58014424688
Latency:
max: 37.027839ms
99.9th: 24.805375ms
99th: 18.219007ms
95th: 14.090239ms
90th: 12.124159ms
median: 4.030463ms
mean: 5.315111ms
The results include the warmup phase which populates the partition index cache, so the hot-cache effect
is dampened in the statistics. See the 99th percentile. Latency gets better after the cache warms up which
moves it lower.
3) perf_fast_forward --run-tests=large-partition-skips
Caching is not used here, included to show there are no regressions for the cold cache case.
TL;DR: No significant change
perf_fast_forward --run-tests=large-partition-skips --datasets=large-part-ds1 -c1 -m1G
Config: rows: 10000000, value size: 2000
Before:
read skip time (s) iterations frags frag/s mad f/s max f/s min f/s avg aio aio (KiB) blocked dropped idx hit idx miss idx blk c hit c miss c blk cpu
1 0 36.429822 4 10000000 274500 62 274521 274429 153889.2 153883 19696986 153853 0 0 0 0 0 0 0 22.5%
1 1 36.856236 4 5000000 135662 7 135670 135650 155652.0 155652 19704117 139326 1 0 1 1 0 0 0 38.1%
1 8 36.347667 4 1111112 30569 0 30570 30569 155652.0 155652 19704117 139071 1 0 1 1 0 0 0 19.5%
1 16 36.278866 4 588236 16214 1 16215 16213 155652.0 155652 19704117 139073 1 0 1 1 0 0 0 16.6%
1 32 36.174784 4 303031 8377 0 8377 8376 155652.0 155652 19704117 139056 1 0 1 1 0 0 0 12.3%
1 64 36.147104 4 153847 4256 0 4256 4256 155652.0 155652 19704117 139109 1 0 1 1 0 0 0 11.1%
1 256 9.895288 4 38911 3932 1 3933 3930 100869.2 100868 3178298 59944 38912 0 1 1 0 0 0 14.3%
1 1024 2.599921 4 9757 3753 0 3753 3753 26604.0 26604 801850 15071 9758 0 1 1 0 0 0 14.6%
1 4096 0.784568 4 2441 3111 1 3111 3109 7982.0 7982 205946 3772 2442 0 1 1 0 0 0 13.8%
64 1 36.553975 4 9846154 269359 10 269369 269337 155663.8 155652 19704117 139230 1 0 1 1 0 0 0 28.2%
64 8 36.509694 4 8888896 243467 8 243475 243449 155652.0 155652 19704117 139120 1 0 1 1 0 0 0 26.5%
64 16 36.466282 4 8000000 219381 4 219385 219374 155652.0 155652 19704117 139232 1 0 1 1 0 0 0 24.8%
64 32 36.395926 4 6666688 183171 6 183180 183165 155652.0 155652 19704117 139158 1 0 1 1 0 0 0 21.8%
64 64 36.296856 4 5000000 137753 4 137757 137737 155652.0 155652 19704117 139105 1 0 1 1 0 0 0 17.7%
64 256 20.590392 4 2000000 97133 18 97151 94996 135248.8 131395 7877402 98335 31282 0 1 1 0 0 0 15.7%
64 1024 6.225773 4 588288 94492 1436 95434 88748 46066.5 41321 2324378 30360 9193 0 1 1 0 0 0 15.8%
64 4096 1.856069 4 153856 82893 54 82948 82721 16115.0 16043 583674 11574 2675 0 1 1 0 0 0 16.3%
After:
read skip time (s) iterations frags frag/s mad f/s max f/s min f/s avg aio aio (KiB) blocked dropped idx hit idx miss idx blk c hit c miss c blk cpu
1 0 36.429240 4 10000000 274505 38 274515 274417 153887.8 153883 19696986 153849 0 0 0 0 0 0 0 22.4%
1 1 36.933806 4 5000000 135377 15 135385 135354 155658.0 155658 19704085 139398 1 0 1 1 0 0 0 40.0%
1 8 36.419187 4 1111112 30509 2 30510 30507 155658.0 155658 19704085 139233 1 0 1 1 0 0 0 22.0%
1 16 36.353475 4 588236 16181 0 16182 16181 155658.0 155658 19704085 139183 1 0 1 1 0 0 0 19.2%
1 32 36.251356 4 303031 8359 0 8359 8359 155658.0 155658 19704085 139120 1 0 1 1 0 0 0 14.8%
1 64 36.203692 4 153847 4249 0 4250 4249 155658.0 155658 19704085 139071 1 0 1 1 0 0 0 13.0%
1 256 9.965876 4 38911 3904 0 3906 3904 100875.2 100874 3178266 60108 38912 0 1 1 0 0 0 17.9%
1 1024 2.637501 4 9757 3699 1 3700 3697 26610.0 26610 801818 15071 9758 0 1 1 0 0 0 19.5%
1 4096 0.806745 4 2441 3026 1 3027 3024 7988.0 7988 205914 3773 2442 0 1 1 0 0 0 18.3%
64 1 36.611243 4 9846154 268938 5 268942 268921 155669.8 155705 19704085 139330 2 0 1 1 0 0 0 29.9%
64 8 36.559471 4 8888896 243135 11 243156 243124 155658.0 155658 19704085 139261 1 0 1 1 0 0 0 28.1%
64 16 36.510319 4 8000000 219116 15 219126 219101 155658.0 155658 19704085 139173 1 0 1 1 0 0 0 26.3%
64 32 36.439069 4 6666688 182954 9 182964 182943 155658.0 155658 19704085 139274 1 0 1 1 0 0 0 23.2%
64 64 36.334808 4 5000000 137609 11 137612 137596 155658.0 155658 19704085 139258 2 0 1 1 0 0 0 19.1%
64 256 20.624759 4 2000000 96971 88 97059 92717 138296.0 131401 7877370 98332 31282 0 1 1 0 0 0 17.2%
64 1024 6.260598 4 588288 93967 1429 94905 88051 45939.5 41327 2324346 30361 9193 0 1 1 0 0 0 17.8%
64 4096 1.881338 4 153856 81780 140 81920 81520 16109.8 16092 582714 11617 2678 0 1 1 0 0 0 18.2%
4) perf_fast_forward --run-tests=large-partition-slicing
Caching enabled, each line shows the median run from many iterations
TL;DR: We can observe reduction in IO which translates to reduction in execution time,
especially for slicing in the middle of partition.
perf_fast_forward --run-tests=large-partition-slicing --datasets=large-part-ds1 -c1 -m1G --keep-cache-across-test-cases
Config: rows: 10000000, value size: 2000
Before:
offset read time (s) iterations frags frag/s mad f/s max f/s min f/s avg aio aio (KiB) blocked dropped idx hit idx miss idx blk c hit c miss c blk allocs tasks insns/f cpu
0 1 0.000491 127 1 2037 24 2109 127 4.0 4 128 2 2 0 1 1 0 0 0 157 80 3058208 15.0%
0 32 0.000561 1740 32 56995 410 60031 47208 5.0 5 160 3 2 0 1 1 0 0 0 386 111 113353 17.5%
0 256 0.002052 488 256 124736 7111 144762 89053 16.6 17 672 14 2 0 1 1 0 0 0 2113 446 52669 18.6%
0 4096 0.016437 61 4096 249199 692 252389 244995 69.4 69 8640 57 5 0 1 1 0 0 0 26638 1717 23321 22.4%
5000000 1 0.002171 221 1 461 2 466 221 25.0 25 268 3 3 0 1 1 0 0 0 638 376 14311524 10.2%
5000000 32 0.002392 404 32 13376 48 13528 13015 27.0 27 332 5 3 0 1 1 0 0 0 931 432 489691 11.9%
5000000 256 0.003659 279 256 69967 764 73130 52563 39.5 41 780 19 3 0 1 1 0 0 0 2689 825 93756 15.8%
5000000 4096 0.018592 55 4096 220313 433 234214 218803 94.2 94 9484 62 9 0 1 1 0 0 0 27349 2213 26562 21.0%
After:
offset read time (s) iterations frags frag/s mad f/s max f/s min f/s avg aio aio (KiB) blocked dropped idx hit idx miss idx blk c hit c miss c blk allocs tasks insns/f cpu
0 1 0.000229 115 1 4371 85 4585 115 2.1 2 64 1 1 1 0 0 0 0 0 90 31 1314749 22.2%
0 32 0.000277 2174 32 115674 1015 128109 14144 3.0 3 96 2 1 1 0 0 0 0 0 319 62 52508 26.1%
0 256 0.001786 576 256 143298 5534 179142 113715 14.7 17 544 15 1 1 0 0 0 0 0 2110 453 45419 21.4%
0 4096 0.015498 61 4096 264289 2006 268850 259342 67.4 67 8576 59 4 1 0 0 0 0 0 26657 1738 22897 23.7%
5000000 1 0.000415 233 1 2411 15 2456 234 4.1 4 128 2 2 1 0 0 0 0 0 199 72 2644719 16.8%
5000000 32 0.000635 1413 32 50398 349 51149 46439 6.0 6 192 4 2 1 0 0 0 0 0 458 128 125893 18.6%
5000000 256 0.002028 486 256 126228 3024 146327 82559 17.8 18 1024 13 4 1 0 0 0 0 0 2123 385 51787 19.6%
5000000 4096 0.016836 61 4096 243294 814 263434 241660 73.0 73 9344 62 8 1 0 0 0 0 0 26922 1920 24389 22.4%
Future work:
- Check the impact on non-uniform workloads. Caching sstable indexes takes space away from the row cache
which may reduce the hit ratio.
- Reduce memory footprint of partition index cache. Currently, about 8x bloat over the on-disk size.
- Disable cache population for "bypass cache" reads
- Add a switch to disable sstable index caching, per-node, maybe per-table
- Better sstable index format. Current format leads to inefficiency in caching since only some elements of the cached
page can be hot. A B-tree index would be more efficient. Same applies to the partition index. Only some elements in
the partition index page can be hot.
- Add heuristic for reducing index file IO size when large partitions are anticipated. If we're bound by disk's
bandwidth it's wasteful to read the front of promoted index using 32K IO, better use 4K which should cover the
partition entry and then let binary search read the rest.
In V2:
- Fixed perf_fast_forward regression in the number of IOs used to read partition index page
The reader uses 32K reads, which were split by page cache into 4K reads
Fix by propagating IO size hints to page cache and using single IO to populate it.
New patch: "cached_file: Issue single I/O for the whole read range on miss"
- Avoid large allocations to store partition index page entries (due to managed_vector storage).
There is a unit test which detects this and fails.
Fixed by implementing chunked_managed_vector, based on chunked_vector.
- fixed bug in cached_file::evict_gently() where the wrong allocation strategy was used to free btree chunks
- Simplify region_impl::free_buf() according to Avi's suggestions
- Fit segment_kind in segment_descriptor::_free_space and lift requirement that _buf_pointers emptiness determines the kind
- Workaround sigsegv which was most likely due to coroutine miscompilation. Worked around by manipulating local object scope.
- Wire up system/drop_sstable_caches RESTful API
- Fix use-after-move on permit for the old scanning ka/la index reader
- Fixed more cases of double open_data() in tests leading to assert failure
- Adjusted cached_file class doc to account for changes in behavior.
- Rebased
Fixes#7079.
Refs #363.
"
* tag 'sstable-index-caching-v2' of github.com:tgrabiec/scylla: (39 commits)
api: Drop sstable index caches on system/drop_sstable_caches
cached_file: Issue single I/O for the whole read range on miss
row_cache: cache_tracker: Do not register metrics when constructed for tests
sstables, cached_file: Evict cache gently when sstable is destroyed
sstables: Hide partition_index_cache implementation away from sstables.hh
sstables: Drop shared_index_lists alias
sstables: Destroy partition index cache gently
sstables: Cache partition index pages in LSA and link to LRU
utils: Introduce lsa::weak_ptr<>
sstables: Rename index_list to partition_index_page and shared_index_lists to partition_index_cache
sstables, cached_file: Avoid copying buffers from cache when parsing promoted index
cached_file: Introduce get_page_units()
sstables: read: Document that primitive_consumer::read_32() is alloc-free
sstables: read: Count partition index page evictions
sstables: Drop the _use_binary_search flag from index entries
sstables: index_reader: Keep index objects under LSA
lsa: chunked_managed_vector: Adapt more to managed_vector
utils: lsa: chunked_managed_vector: Make LSA-aware
test: chunked_managed_vector_test: Make exception_safe_class standard layout
lsa: Copy chunked_vector to chunked_managed_vector
...
logalloc has a nice leak/double-free sanitizer, with the nice
feature of capturing backtraces to make error reports easy to
track down. But capturing backtraces is itself very expensive.
This patch makes backtrace capture optional, reducing database_test
runtime from 30 minutes to 20 minutes on my machine.
Closes#8978
lsa_buffer is similar in spirit to std::unique_ptr<char[]>. It owns
buffers allocated inside LSA segments. It uses an alternative
allocation method which differs from regular LSA allocations in the
following ways:
1) LSA segments only hold buffers, they don't hold metadata. They
also don't mix with standard allocations. So a 128K segment can
hold 32 4K buffers.
2) objects' life time is managed by lsa_buffer, an owning smart
pointer, which is automatically updated when buffers are migrated
to another segment. This makes LSA allocations easier to use and
off-loads metadata management to the client (which can keep the
lsa_buffer wherever he wants).
The metadata is kept inside segment_descriptor, in a vector. Each
allocated buffer will have an entangled object there (8 bytes), which
is paired with an entabled object inside lsa_buffer.
The reason to have an alternative allocation method is to efficiently
pack buffers inside LSA segments.
To make it possible to use the express encoder, lsa needs to
make sure that the value is below express supreme value and
provide the size of the gap after the encoded value.
Both requirements can be satisfied when encoding the migrator
index on object allocation.
On free the encoded value can be larger, so the extended
express encoder will need more instructions and will not be
that efficient, so the old encoder is used there.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
The LSA code encodes an object descriptor before the object
itself. The descriptor is 32-bit value and to put it in an
efficient manner it's encoded into unsigned little-endian
base-64 sequence.
The encoding code is going to be optimized, so put it into a
dedicated header in advance.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
As an optimization for optimistic cases, reclaim_from_evictable first evicts
the requested amount of memory before attempting to reclaim segments through
compactions. However, due to an oversight, it does this before every compaction
instead of once before all compactions.
Usually reclaim_from_evictable is called with small targets, or is preemptible,
and in those cases this issue is not visible. However, when the target is bigger
than one segment and the reclaim is not preemptible, which is he case when it's
called from allocating_section, this results in a quadratic explosion of
evictions, which can evict several hundred MiB to reclaim a few MiB.
Fix that by calculating the target of memory eviction only once, instead of
recalculating it after every compaction.
Fixes#8542.
Closes#8611
If the shares are currently low, we might not get enough CPU time to
adjust the shares in time.
This is currently no-op, since Seastar runs the callback outside
scheduling groups (and only uses the scheduling group for inherited
continuations); but better be insulated against such details.
adjust_shares() thinks it needs to do nothing if the main loop
is running, but in reality it can only avoid waking the main loop;
it still needs to adjust the shares unconditionally. Otherwise,
the background reclaim shares can get locked into a low value.
Fix by splitting the conditional into two.
With the larger gap, logalloc reserved more memory for std than
the background reclaim threshold for running, so it was triggered
rarely.
With the gap reduced, background reclaim is constantly running in
an allocating workload (e.g. cache misses).
Set up a coroutine in a new scheduling group to ensure there is
a "cushion" of free memory. It reclaims in preemptible mode in
order to reduce reactor stalls (constrast with synchronous reclaim
that cannot preempt until it achieved its goal).
The free memory target is arbitrarily set at 60MB. The reclaimer's
shares are proportional to the distance from the free memory target;
so a workload that allocates memory rapidly will have the background
reclaimer working harder.
I rolled my own condition variable here, mostly as an experiment.
seastar::condition_variable requires several allocations, while
the one here requires none. We should formalize it after we gain
more experience with it.
Add an option (currently unused by all callers) to preempt
reclaim. If reclaim is preempted, it just stops what it is
doing, even if it reclaimed nothing. This is useful for background
reclaim.
Currently, preemption checks are on segment granularity. This is
probably too coarse, and should be refined later, but is already
better than the current granularity which does not allow preemption
until the entire requested memory size was reclaimed.
scoped_critical_alloc_section was recently introduced to replace
disable_failure_guard and made the old class deprecated.
This patch replaces all occurences of disable_failure_guard with
scoped_critical_alloc_section.
Without this patch the build prints many warnings like:
warning: 'disable_failure_guard' is deprecated: Use scoped_critical_section instead [-Wdeprecated-declarations]
Signed-off-by: Piotr Jastrzebski <piotr@scylladb.com>
Message-Id: <ca2a91aaf48b0f6ed762a6aa687e6ac5e936355d.1605621284.git.piotr@scylladb.com>
The log-structured allocator (LSA) reserves memory when performing
operations, since its operations are performed with reclaiming disabled
and if it runs out, it cannot evict cache to gain more. The amount of
memory to reserve is remembered across calls so that it does not have
to repeat the fail/increase-reserve/retry cycle for every operation.
However, we currently lack decaying the amount to reserve. This means
that if a single operation increased the reserve in the distant past,
all current operations also require this large reserve. Large reserves
are expensive since they can cause large amounts of cache to be evicted.
This patch adds reserve decay. The time-to-decay is inversely proportional
to reserve size: 10GB/reserve. This means that a 20MB reserve is halved
after 500 operations (10GB/20MB) while a 20kB reserve is halved after
500,000 operations (10GB/20kB). So large, expensive reserves are decayed
quickly while small, inexpensive reserves are decayed slowly to reduce
the risk of allocation failures and exceptions.
A unit test is added.
Fixes#325.
... and tests. Printin a pointer in logs is considered to be a bad practice,
so the proposal is to keep this explicit (with fmt::ptr) and allow it for
.debug and .trace cases.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
The constructors of these global variables can allocate memory. Since
the variables are thread_local, they are initialized at first use.
There is nothing we can do if these allocations fail, so use
disable_failure_guard.
Signed-off-by: Rafael Ávila de Espíndola <espindola@scylladb.com>
Message-Id: <20200729184901.205646-1-espindola@scylladb.com>
When reclaiming segments to the seastar the code tries to free the segments
sequentially. For this it walks the segments from left to right and frees
them, but every time a non-empty segment is met it gets migrated to another
segment, that's allocated from the right end of the list.
This is waste of cycles sometimes. The destination segment inherits the
holes from the source one, and thus it will be compacted some time in the
future. Why not compact it right at the reclamation time? It will take the
same time or less, but will result in better compaction.
To acheive this, the segment to be reclaimed is compacted with the existing
compact_segment_locked() code with some special care around it.
1. The allocation of new segments from seastar is locked
2. The reclaiming of segments with evict-and-compact is locked as well
3. The emergency pool is opened (the compaction is called with non-empty
reserve to avoid bad_alloc exception throw in the middle of compaction)
4. The segment is forcibly removed from the histogram and the closed_occupancy
is updated just like it is with general compaction
The segments-migration auxiliary code can be removed after this.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
The lock disables the segment_pool to call for more segments from
the underlying allocator.
To be used in next patch.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
This includes 3 small changes to facilitate next patching:
- rename region::impl::compact into compact_segment_locked
- merging former compact with compact_single_segment_locked
- moving log print and stats update into compact_segment_locked
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
The tracker::impl::reclaim is already in reclaim-locked
section, no need for yet another nested lock.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
When calling alloc_small the migrator is passed just to get the
object descriptor, but during compaction the descriptor is already
at hands, so no need to re-get it again.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
The timer.stop() call, that reports not only the time-taken, but also
the reclaimation rate, was unintentionally dropped while expanding its
scope (c70ebc7c).
Take it back (and mark the compact_and_evict_locked as private while
at it).
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Message-Id: <20200528185331.10537-1-xemul@scylladb.com>
Instead of doing 3 smp::invoke_on_all-s and duplicating
tracker::impl API for the tracker itself, introduce the
tracker::configure, simplify the tracker configuration
and narrow down the public tracker API.
Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
Message-Id: <20200528185442.10682-1-xemul@scylladb.com>
This allows us to drop a #include <reactor.hh>, reducing compile time.
Several translation units that lost access to required declarations
are updated with the required includes (this can be an include of
reactor.hh itself, in case the translation unit that lost it got it
indirectly via logalloc.hh)
Ref #1.
Reclaim consults the _regions vector, so we don't want it moving around while
allocating more capacity. For that we take the reclaim lock. However, that
can cause a false-positive OOM during startup:
1. all memory is allocated to LSA as part of priming (2baa16b371)
2. the _regions vector is resized from 64k to 128k, requiring a segment
to be freed (plenty are free)
3. but reclaiming_lock is taken, so we cannot reclaim anything.
To fix, resize the _regions vector outside the lock.
Fixes#6003.
Message-Id: <20200311091217.1112081-1-avi@scylladb.com>
"
The original fix (10f6b125c8) didn't
take into account that if there was a failed memtable flush (Refs
flush) but is not a flushable memtable because it's not the latest in
the memtable list. If that happens, it means no other memtable is
flushable as well, cause otherwise it would be picked due to
evictable_occupancy(). Therefore the right action is to not flush
anything in this case.
Suspected to be observed in #4982. I didn't manage to reproduce after
triggering a failed memtable flush.
Fixes#3717
"
* tag 'avoid-ooming-with-flush-continuations-v2' of github.com:tgrabiec/scylla:
database: Avoid OOMing with flush continuations after failed memtable flush
lsa: Introduce operator bool() to occupancy_stats
lsa: Expose region_impl::evictable_occupancy in the region class
`segment_manager' now uses a decorated version of `timed_out_error'
with hardcoded name. On the other hand `region_group' uses named
`on_request_expiry' within its `expiring_fifo'.
This simplifies the debug implementation and it now should work with
scylla-gdb.py.
It is not clear what, if anything, is lost by not using random
ids. They were never being reused in the debug implementation anyway.
Signed-off-by: Rafael Ávila de Espíndola <espindola@scylladb.com>
Message-Id: <20190618144755.31212-1-espindola@scylladb.com>
In debug mode the LSA needs objects to be 8-byte aligned in order to
maximise coverage from the AddressSanitizer.
Usually `close_active()` creates a dummy objects that covers the end of
the segment being closed. However, it the last real objects ends in the
last eight bytes of the segment then that dummy won't be created because
of the alignment requirements. This broke exit conditions on loops
trying to read all objects in the segment and caused them to attempt to
dereference address at the end of the segment. This patch fixes that.
Fixes#4653.
This change aligns descriptors and values to 8 bytes so that poisoning
a descriptor or value doesn't interfere with other descriptors and
values.
Signed-off-by: Rafael Ávila de Espíndola <espindola@scylladb.com>
With this patch, when using asan, we poison segment memory that has
been allocated from the system but should not be accessible to user
code.
Should help with debugging user after free bugs.
Signed-off-by: Rafael Ávila de Espíndola <espindola@scylladb.com>
Message-Id: <20190607140313.5988-1-espindola@scylladb.com>
