Instead of lengthy blurbs, switch to single-line, machine-readable
standardized (https://spdx.dev) license identifiers. The Linux kernel
switched long ago, so there is strong precedent.
Three cases are handled: AGPL-only, Apache-only, and dual licensed.
For the latter case, I chose (AGPL-3.0-or-later and Apache-2.0),
reasoning that our changes are extensive enough to apply our license.
The changes we applied mechanically with a script, except to
licenses/README.md.
Closes#9937
Prepare for updating seastar submodule to a change
that requires deferred actions to be noexcept
(and return void).
Test: unit(dev, debug)
Signed-off-by: Benny Halevy <bhalevy@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>
Simplifies managing non-owning references to LSA-managed objects. The
lsa::weak_ptr is a smart pointer which is not invalidated by LSA and
can be used safely in any allocator context. Dereferenced will always
give a valid reference.
This can be used as a building block for implementing cursors into
LSA-based caches.
Example simple use:
// LSA-managed
struct X : public lsa::weakly_referencable<X> {
int value;
};
lsa::weak_ptr<X> x_ptr = with_allocator(region(), [] {
X* x = current_allocator().construct<X>();
return x->weak_from_this();
});
std::cout << x_ptr->value;
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.
Test that the background reclaimer is able to compete with a
fake load and reclaim 10 MB/s. The test is quite stressful as the "LRU"
is fully randomized.
If the background reclaimer is disabled, the test fails as soon as the
20MB "gap" is exhausted. With the reclaimer enabled, it is able to
free memory ahead of the allocations.
This is a revival of #7490.
Quoting #7490:
The managed_bytes class now uses implicit linearization: outside LSA, data is never fragmented, and within LSA, data is linearized on-demand, as long as the code is running within with_linearized_managed_bytes() scope.
We would like to stop linearizing managed_bytes and keep it fragmented at all times, since linearization can require large contiguous chunks. Large contiguous allocations are hard to satisfy and cause latency spikes.
As a first step towards that, we remove all implicitly linearizing accessors and replace them with an explicit linearization accessor, with_linearized().
Some of the linearization happens long before use, by creating a bytes_view of the managed_bytes object and passing it onwards, perhaps storing it for later use. This does not work with with_linearized(), which creates a temporary linearized view, and does not work towards the longer term goal of never linearizing. As a substitute a managed_bytes_view class is introduced that acts as a view for managed_bytes (for interoperability it can also be a view for bytes and is compatible with bytes_view).
By the end of the series, all linearizations are temporary, within the scope of a with_linearized() call and can be converted to fragmented consumption of the data at leisure.
This has limited practical value directly, as current uses of managed_bytes are limited to keys (which are limited to 64k). However, it enables converting the atomic_cell layer back to managed_bytes (so we can remove IMR) and the CQL layer to managed_bytes/managed_bytes_view, removing contiguous allocations from the coordinator.
Closes#7820
* github.com:scylladb/scylla:
test: add hashers_test
memtable: fix accounting of managed_bytes in partition_snapshot_accounter
test: add managed_bytes_test
utils: fragment_range: add a fragment iterator for FragmentedView
keys: update comments after changes and remove an unused method
mutation_test: use the correct preferred_max_contiguous_allocation in measuring_allocator
row_cache: more indentation fixes
utils: remove unused linearization facilities in `managed_bytes` class
misc: fix indentation
treewide: remove remaining `with_linearized_managed_bytes` uses
memtable, row_cache: remove `with_linearized_managed_bytes` uses
utils: managed_bytes: remove linearizing accessors
keys, compound: switch from bytes_view to managed_bytes_view
sstables: writer: add write_* helpers for managed_bytes_view
compound_compat: transition legacy_compound_view from bytes_view to managed_bytes_view
types: change equal() to accept managed_bytes_view
types: add parallel interfaces for managed_bytes_view
types: add to_managed_bytes(const sstring&)
serializer_impl: handle managed_bytes without linearizing
utils: managed_bytes: add managed_bytes_view::operator[]
utils: managed_bytes: introduce managed_bytes_view
utils: fragment_range: add serialization helpers for FragmentedMutableView
bytes: implement std::hash using appending_hash
utils: mutable_view: add substr()
utils: fragment_range: add compare_unsigned
utils: managed_bytes: make the constructors from bytes and bytes_view explicit
utils: managed_bytes: introduce with_linearized()
utils: managed_bytes: constrain with_linearized_managed_bytes()
utils: managed_bytes: avoid internal uses of managed_bytes::data()
utils: managed_bytes: extract do_linearize_pure()
thrift: do not depend on implicit conversion of keys to bytes_view
clustering_bounds_comparator: do not depend on implicit conversion of keys to bytes_view
cql3: expression: linearize get_value_from_mutation() eariler
bytes: add to_bytes(bytes)
cql3: expression: mark do_get_value() as static
Use the thread_local seastar::testing::local_random_engine
in all seastar tests so they can be reproduced using
the --random-seed option.
Test: unit(dev)
Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
Message-Id: <20210112103713.578301-2-bhalevy@scylladb.com>
Conversions from views to owners have no business being implicit.
Besides, they would also cause various ambiguity problems when adding
managed_bytes_view.
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.
test_compaction_with_multiple_regions() has two calls to std::shuffle(),
one using std::default_random_engine() has the PRNG, but the other, later
on, using the std::random_device directly. This can cause failures due to
entropy pool exhaustion.
Fix by making the `random` variable refer to the PRNG, not the random_device,
and adjust the first std::shuffle() call. This hides the random_device so
it can't be used more than once.
Message-Id: <20200527124247.2187364-1-avi@scylladb.com>
We use boost test logging primarily to generate nice XML xunit
files used in Jenkins. These XML files can be bloated
with messages from BOOST_TEST_MESSAGE(), hundreds of megabytes
of build archives, on every build.
Let's use seastar logger for test logging instead, reserving
the use of boost log facilities for boost test markup information.
1. Move tests to test (using singular seems to be a convention
in the rest of the code base)
2. Move boost tests to test/boost, other
(non-boost) unit tests to test/unit, tests which are
expected to be run manually to test/manual.
Update configure.py and test.py with new paths to tests.
