Commit Graph

160 Commits

Author SHA1 Message Date
Benny Halevy
35256d1b92 treewide: explicitly use flat_mutation_reader_opt
Unlike flat_mutation_reader_opt that is defined using
optimized_optional<flat_mutation_reader>, std::optional<T> does not evaluate
to `false` after being moved, only after it is explicitly reset.

Use flat_mutation_reader_opt rather than std::optional<flat_mutation_reader>
to make it easier to check if it was closed before it's destroyed
or being assigned-over.

Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
Message-Id: <20210215101254.480228-6-bhalevy@scylladb.com>
2021-02-17 17:57:34 +02:00
Tomasz Grabiec
94749b01eb Merge "futurize flat_mutation_reader::next_partition" from Benny
The main motivation for this patchset is to prepare
for adding a async close() method to flat_mutation_reader.

In order to close the reader before destroying it
in all paths we need to make next_partition asynchronous
so it can asynchronously close a current reader before
destoring it, e.g. by reassignment of flat_mutation_reader_opt,
as done in scanning_reader::next_partition.

Test: unit(release, debug)

* git@github.com:bhalevy/scylla.git futurize-next-partition-v1:
  flat_mutation_reader: return future from next_partition
  multishard_mutation_query: read_context: save_reader: destroy reader_meta from the calling shard
  mutation_reader: filtering_reader: fill_buffer: futurize inner loop
  flat_mutation_reader::impl: consumer_adapter: futurize handle_result
  flat_mutation_reader: consume_pausable/in_thread: futurize_invoke consumer
  flat_mutation_reader: FlatMutationReaderConsumer: support also async consumer
  flat_mutation_reader:impl: get rid of _consume_done member
2021-01-19 10:19:03 +02:00
Avi Kivity
60f5ec3644 Merge 'managed_bytes: switch to explicit linearization' from Michał Chojnowski
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
2021-01-18 11:01:28 +02:00
Michał Chojnowski
85048b349b memtable: fix accounting of managed_bytes in partition_snapshot_accounter
managed_bytes has a small overhead per each fragment. Due to that, managed_bytes
containing the same data can have different total memory usage in different
allocators. The smaller the preferred max allocation size setting is, the more
fragments are needed and the greater total per-fragment overhead is.
In particular, managed_bytes allocated in the LSA could grow in
memory usage when copied to the standard allocator, if the standard allocator
had a preferred max allocation setting smaller than the LSA.

partition_snapshot_accounter calculates the amount of memory used by
mutation fragments in the memtable (where they are allocated with LSA) based
on the memory usage after they are copied to the standard allocator.
This could result in an overestimation, as explained above.
But partition_snapshot_accounter must not overestimate the amount of freed
memory, as doing otherwise might result in OOM situations.

This patch prevents the overaccounting by adding minimal_external_memory_usage():
a new version of external_memory_usage(), which ignores allocator-dependent
overhead. In particular, it includes the per-fragment overhead in managed_bytes
only once, no matter how many fragments there are.
2021-01-15 18:21:13 +01:00
Benny Halevy
29002e3b48 flat_mutation_reader: return future from next_partition
To allow it to asynchronously close underlying readers
on next_partition().

Signed-off-by: Benny Halevy <bhalevy@scylladb.com>
2021-01-13 17:35:07 +02:00
Pavel Solodovnikov
8709844566 misc: fix indentation
The patch fixes indentation issues introduced in previous patches
related to removing `with_linearized_managed_bytes` uses from the
code tree.

Signed-off-by: Pavel Solodovnikov <pa.solodovnikov@scylladb.com>
2021-01-08 14:16:08 +01:00
Pavel Solodovnikov
bf8b138b42 memtable, row_cache: remove with_linearized_managed_bytes uses
Since `managed_bytes::data()` is deleted as well as other public
APIs of `managed_bytes` which would linearize stored values except
for explicit `with_linearized`, there is no point
invoking `with_linearized_managed_bytes` hack which would trigger
automatic linearization under the hood of managed_bytes.

Remove useless `with_linearized_managed_bytes` wrapper from
memtable and row_cache code.

Signed-off-by: Pavel Solodovnikov <pa.solodovnikov@scylladb.com>
2021-01-08 14:16:08 +01:00
Raphael S. Carvalho
738049cba2 memtable: Track min timestamp
Tracking both min and max timestamp will be required for memtable flush
to short-circuit interposer consumer if needed.

Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com>
2021-01-04 13:24:43 -03:00
Botond Dénes
ff623e70b3 reader_concurrency_semaphore: name permits
Require a schema and an operation name to be given to each permit when
created. The schema is of the table the read is executed against, and
the operation name, which is some name identifying the operation the
permit is part of. Ideally this should be different for each site the
permit is created at, to be able to discern not only different kind of
reads, but different code paths the read took.

As not all read can be associated with one schema, the schema is allowed
to be null.

The name will be used for debugging purposes, both for coredump
debugging and runtime logging of permit-related diagnostics.
2020-10-13 12:32:13 +03:00
Botond Dénes
dd372c8457 flat_mutation_reader: de-virtualize buffer_size()
The main user of this method, the one which required this method to
return the collective buffer size of the entire reader tree, is now
gone. The remaining two users just use it to check the size of the
reader instance they are working with.
So de-virtualize this method and reduce its responsibility to just
returning the buffer size of the current reader instance.
2020-10-06 08:22:56 +03:00
Botond Dénes
3fab83b3a1 flat_mutation_reader: impl: add reader_permit parameter
Not used yet, this patch does all the churn of propagating a permit
to each impl.

In the next patch we will use it to track to track the memory
consumption of `_buffer`.
2020-09-28 10:53:48 +03:00
Pavel Emelyanov
4d2f5f93a4 memtable: Switch onto B+ rails
The change is the same as with row-cache -- use B+ with int64_t token
as key and array of memtable_entry-s inside it.

The changes are:

Similar to those for row_cache:

- compare() goes away, new collection uses ring_position_comparator

- insertion and removal happens with the help of double_decker, most
  of the places are about slightly changed semantics of it

- flags are added to memtable_entry, this makes its size larger than
  it could be, but still smaller than it was before

Memtable-specific:

- when the new entry is inserted into tree iterators _might_ get
  invalidated by double-decker inner array. This is easy to check
  when it happens, so the invalidation is avoided when possible

- the size_in_allocator_without_rows() is now not very precise. This
  is because after the patch memtable_entries are not allocated
  individually as they used to. They can be squashed together with
  those having token conflict and asking allocator for the occupied
  memory slot is not possible. As the closest (lower) estimate the
  size of enclosing B+ data node is used

Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
2020-07-14 16:30:02 +03:00
Pavel Emelyanov
dff5eb6f25 memtable: Count partitions separately
The B+ will not have constant-time .size() call, so do it by hands

Signed-off-by: Pavel Emelyanov <xemul@scylladb.com>
2020-07-14 16:30:02 +03:00
Botond Dénes
9ede82ebf8 memtable: pass a valid permit to the delegate reader
All reader are soon going to require a valid permit, so make sure we
have a valid permit which we can pass to the delegate reader when
creating it. This means `memtable::make_flat_reader()` now also requires
a permit to be passed to it.
Internally the permit is stored in `scanning_reader`, which is used both
for flushes and normal reads. In the former case a permit is not
required.
2020-05-28 11:34:35 +03:00
Botond Dénes
196dd5fa9b treewide: throw std::bad_function_call with backtraces
We typically use `std::bad_function_call` to throw from
mandatory-to-implement virtual functions, that cannot have a meaningful
implementation in the derived class. The problem with
`std::bad_function_call` is that it carries absolutely no information
w.r.t. where was it thrown from.

I originally wanted to replace `std::bad_function_call` in our codebase
with a custom exception type that would allow passing in the name of the
function it is thrown from to be included in the exception message.
However after I ended up also including a backtrace, Benny Halevy
pointed out that I might as well just throw `std:bad_function_call` with
a backtrace instead. So this is what this patch does.

All users are various unimplemented methods of the
`flat_mutation_reader::impl` interface.

Signed-off-by: Botond Dénes <bdenes@scylladb.com>
Message-Id: <20200408075801.701416-1-bdenes@scylladb.com>
2020-04-08 13:54:06 +02:00
Botond Dénes
240b5e0594 frozen_schema: key() remove unused schema parameter
Signed-off-by: Botond Dénes <bdenes@scylladb.com>
Message-Id: <20200402092249.680210-1-bdenes@scylladb.com>
2020-04-02 14:43:35 +02:00
Rafael Ávila de Espíndola
eca0ac5772 everywhere: Update for deprecated apply functions
Now apply is only for tuples, for varargs use invoke.

This depends on the seastar changes adding invoke.

Signed-off-by: Rafael Ávila de Espíndola <espindola@scylladb.com>
Message-Id: <20200324163809.93648-1-espindola@scylladb.com>
2020-03-25 08:49:53 +02:00
Piotr Jastrzebski
ca4a89d239 dht: add dht::decorate_key
and replace all dht::global_partitioner().decorate_key
with dht::decorate_key

It is an improvement because dht::decorate_key takes schema
and uses it to obtain partitioner instead of using global
partitioner as it was before.

Signed-off-by: Piotr Jastrzebski <piotr@scylladb.com>
2020-02-17 10:59:06 +01:00
Botond Dénes
dfc8b2fc45 treewide: replace reader_resource_tracer with reader_permit
The former was never really more than a reader_permit with one
additional method. Currently using it doesn't even save one from any
includes. Now that readers will be using reader_permit we would have to
pass down both to mutation_source. Instead get rid of
reader_resource_tracker and just use reader_permit. Instead of making it
a last and optional parameter that is easy to ignore, make it a
first class parameter, right after schema, to signify that permits are
now a prominent part of the reader API.

This -- mostly mechanical -- patch essentially refactors mutation_source
to ask for the reader_permit instead of reader_resource_tracking and
updates all usage sites.
2020-01-28 08:13:16 +02:00
Piotr Dulikowski
59fbbb993f memtables: add partition/row hit/miss counters
Adds per-table metrics for counting partition and row reuse
in memtables. New metrics are as follows:
    - memtable_partition_writes - number of write operations performed
          on partitions in memtables,
    - memtable_partition_hits - number of write operations performed
          on partitions that previously existed in a memtable,
    - memtable_row_writes - number of row write operations performed
          in memtables,
    - memtable_row_hits - number of row write operations that ovewrote
          rows previously present in a memtable.

Tests: unit(release)
2019-11-12 13:35:41 +01:00
Kamil Braun
bbdb438d89 collection_mutation: easier (de)serialization of collection_mutation(s).
`collection_type_impl::serialize_mutation_form`
became `collection_mutation(_view)_description::serialize`.

Previously callers had to cast their data_type down to collection_type
to use serialize_mutation_form. Now it's done inside `serialize`.
In the future `serialize` will be generalized to handle UDTs.

`collection_type_impl::deserialize_mutation_form`
became a free standing function `deserialize_collection_mutation`
with similiar benefits. Actually, noone needs to call this function
manually because of the next paragraph.

A common pattern consisting of linearizing data inside a `collection_mutation_view`
followed by calling `deserialize_mutation_form` has been abstracted out
as a `with_deserialized` method inside collection_mutation_view.

serialize_mutation_form_only_live was removed,
because it hadn't been used anywhere.
2019-10-25 10:42:58 +02:00
Nadav Har'El
51fc6c7a8e make static_row optional to reduce memory footprint
Merged patch series from Avi Kivity:

The static row can be rare: many tables don't have them, and tables
that do will often have mutations without them (if the static row
is rarely updated, it may be present in the cache and in readers,
but absent in memtable mutations). However, it always consumes ~100
bytes of memory, even if it not present, due to row's overhead.

Change it to be optional by allocating it as an external object rather
than inlined into mutation_partition. This adds overhead when the
static row is present (17 bytes for the reference, back reference,
and lsa allocator overhead).

perf_simple_query appears to marginally (2%) faster. Footprint is
reduced by ~9% for a cache entry, 12% in memtables. More details are
provided in the patch commitlog.

Tests: unit (debug)

Avi Kivity (4):
  managed_ref: add get() accessor
  managed_ref: add external_memory_usage()
  mutation_partition: introduce lazy_row
  mutation_partition: make static_row optional to reduce memory
    footprint

 cell_locking.hh                          |   2 +-
 converting_mutation_partition_applier.hh |   4 +-
 mutation_partition.hh                    | 284 ++++++++++++++++++++++-
 partition_builder.hh                     |   4 +-
 utils/managed_ref.hh                     |  12 +
 flat_mutation_reader.cc                  |   2 +-
 memtable.cc                              |   2 +-
 mutation_partition.cc                    |  45 +++-
 mutation_partition_serializer.cc         |   2 +-
 partition_version.cc                     |   4 +-
 tests/multishard_mutation_query_test.cc  |   2 +-
 tests/mutation_source_test.cc            |   2 +-
 tests/mutation_test.cc                   |  12 +-
 tests/sstable_mutation_test.cc           |  10 +-
 14 files changed, 355 insertions(+), 32 deletions(-)
2019-10-22 12:25:15 +03:00
Avi Kivity
acc433b286 mutation_partition: make static_row optional to reduce memory footprint
The static row can be rare: many tables don't have them, and tables
that do will often have mutations without them (if the static row
is rarely updated, it may be present in the cache and in readers,
but absent in memtable mutations). However, it always consumes ~100
bytes of memory, even if it not present, due to row's overhead.

Change it to be optional by using lazy_row instead of row. Some call
sites treewide were adjusted to deal with the extra indirection.

perf_simple_query appears to improve by 2%, from 163krps to 165 krps,
though it's hard to be sure due to noisy measurements.

memory_footprint comparisons (before/after):

mutation footprint:		       mutation footprint:
 - in cache:	 1096		        - in cache:	992
 - in memtable:	 854		        - in memtable:	750
 - in sstable:	 351		        - in sstable:	351
 - frozen:	 540		        - frozen:	540
 - canonical:	 827		        - canonical:	827
 - query result: 342		        - query result: 342

 sizeof(cache_entry) = 112	        sizeof(cache_entry) = 112
 -- sizeof(decorated_key) = 36	        -- sizeof(decorated_key) = 36
 -- sizeof(cache_link_type) = 32        -- sizeof(cache_link_type) = 32
 -- sizeof(mutation_partition) = 200    -- sizeof(mutation_partition) = 96
 -- -- sizeof(_static_row) = 112        -- -- sizeof(_static_row) = 8
 -- -- sizeof(_rows) = 24	        -- -- sizeof(_rows) = 24
 -- -- sizeof(_row_tombstones) = 40     -- -- sizeof(_row_tombstones) = 40

 sizeof(rows_entry) = 232	        sizeof(rows_entry) = 232
 sizeof(lru_link_type) = 16	        sizeof(lru_link_type) = 16
 sizeof(deletable_row) = 168	        sizeof(deletable_row) = 168
 sizeof(row) = 112		        sizeof(row) = 112
 sizeof(atomic_cell_or_collection) = 8  sizeof(atomic_cell_or_collection) = 8

Tests: unit (dev)
2019-10-15 15:42:05 +03:00
Tomasz Grabiec
ea461a3884 memtable: Extract memtable_entry::upgrade_schema() 2019-10-03 22:03:29 +02:00
Tomasz Grabiec
aad1307b14 row_cache, memtable: Use upgrade_schema() 2019-10-03 13:28:33 +02:00
Avi Kivity
fd3c493961 memtable: fix pessimizing moves
Remove pessimizing moves, as reported by gcc 9.
2019-05-07 09:55:53 +03:00
Paweł Dziepak
341f186933 memtable: move encoding_stats_collector implementation out of header 2019-02-07 10:16:50 +00:00
Duarte Nunes
fa2b0384d2 Replace std::experimental types with C++17 std version.
Replace stdx::optional and stdx::string_view with the C++ std
counterparts.

Some instances of boost::variant were also replaced with std::variant,
namely those that called seastar::visit.

Scylla now requires GCC 8 to compile.

Signed-off-by: Duarte Nunes <duarte@scylladb.com>
Message-Id: <20190108111141.5369-1-duarte@scylladb.com>
2019-01-08 13:16:36 +02:00
Paweł Dziepak
18825af830 memtable: it is not a single partition read if partition fast-forwaring is enabled
Single-partition reader is less expensive than the one that accepts any
range of partitions, but it doesn't support fast-forwarding to another
partition range properly and therefore cannot be used if that option is
enabled.
2018-12-20 13:27:25 +00:00
Paweł Dziepak
637b9a7b3b atomic_cell_or_collection: make operator<< show cell content
After the new in-memory representation of cells was introduced there was
a regression in atomic_cell_or_collection::operator<< which stopped
printing the content of the cell. This makes debugging more incovenient
are time-consuming. This patch fixes the problem. Schema is propagated
to the atomic_cell_or_collection printer and the full content of the
cell is printed.

Fixes #3571.

Message-Id: <20181024095413.10736-1-pdziepak@scylladb.com>
2018-10-24 13:29:51 +03:00
Botond Dénes
eb357a385d flat_mutation_reader: make timeout opt-out rather than opt-in
Currently timeout is opt-in, that is, all methods that even have it
default it to `db::no_timeout`. This means that ensuring timeout is used
where it should be is completely up to the author and the reviewrs of
the code. As humans are notoriously prone to mistakes this has resulted
in a very inconsistent usage of timeout, many clients of
`flat_mutation_reader` passing the timeout only to some members and only
on certain call sites. This is small wonder considering that some core
operations like `operator()()` only recently received a timeout
parameter and others like `peek()` didn't even have one until this
patch. Both of these methods call `fill_buffer()` which potentially
talks to the lower layers and is supposed to propagate the timeout.
All this makes the `flat_mutation_reader`'s timeout effectively useless.

To make order in this chaos make the timeout parameter a mandatory one
on all `flat_mutation_reader` methods that need it. This ensures that
humans now get a reminder from the compiler when they forget to pass the
timeout. Clients can still opt-out from passing a timeout by passing
`db::no_timeout` (the previous default value) but this will be now
explicit and developers should think before typing it.

There were suprisingly few core call sites to fix up. Where a timeout
was available nearby I propagated it to be able to pass it to the
reader, where I couldn't I passed `db::no_timeout`. Authors of the
latter kind of code (view, streaming and repair are some of the notable
examples) should maybe consider propagating down a timeout if needed.
In the test code (the wast majority of the changes) I just used
`db::no_timeout` everywhere.

Tests: unit(release, debug)

Signed-off-by: Botond Dénes <bdenes@scylladb.com>

Message-Id: <1edc10802d5eb23de8af28c9f48b8d3be0f1a468.1536744563.git.bdenes@scylladb.com>
2018-09-20 11:31:24 +02:00
Tomasz Grabiec
567da3e063 memtable, cache: Fix exception safety of partition entry insertions
boost::intrusive::set::insert() may throw if keys require
linearization and that fails, in which case we will leak the entry.

When this happens in cache, we will also violate the invariant for
entry eviction, which assumes all tracked entries are linked, and
cause a SEGFAULT.

Use the non-throwing and faster insert_before() instead. Where we
can't use insert_before(), use alloc_strategy_unique_ptr<> to ensure
that entry is deallocated on insert failure.

Fixes #3585.
2018-07-17 16:30:01 +02:00
Tomasz Grabiec
074be4d4e8 memtable, cache: Run mutation_cleaner worker in its own scheduling group
The worker is responsible for merging MVCC snapshots, which is similar
to merging sstables, but in memory. The new scheduling group will be
therefore called "memory compaction".

We should run it in a separate scheduling group instead of
main/memtables, so that it doesn't disrupt writes and other system
activities. It's also nice for monitoring how much CPU time we spend
on this.
2018-06-27 21:51:04 +02:00
Tomasz Grabiec
6c6ffaee71 mutation_cleaner: Make merge() redirect old instance to the new one
If memtable snapshot goes away after memtable started merging to
cache, it would enqueue the snapshots for cleaning on the memtable's
cleaner, which will have to clean without deferrring when the memtable
is destroyed. That may stall the reactor. To avoid this, make merge()
cause the old instance of the cleaner to redirect to the new instance
(owned by cache), like we do for regions. This way the snapshots
mentioned earlier can be cleaned after memtable is destroyed,
gracefully.
2018-06-27 21:51:04 +02:00
Tomasz Grabiec
450985dfee mvcc: Use RAII to ensure that partition versions are merged
Before this patch, maybe_merge_versions() had to be manually called
before partition snapshot goes away. That is error prone and makes
client code more complicated. Delegate that task to a new
partition_snapshot_ptr object, through which all snapshots are
published now.
2018-06-27 21:51:04 +02:00
Paweł Dziepak
ec9d166a4f treewide: require type to compute cell memory usage 2018-05-31 15:51:11 +01:00
Tomasz Grabiec
3f19f76c67 mvcc: Destroy memtable partition versions gently
Now all snapshots will have a mutation_cleaner which they will use to
gently destroy freed partition_version objects.

Destruction of memtable entries during cache update is also using the
gentle cleaner now. We need to have a separate cleaner for memtable
objects even though they're owned by cache's region, because memtable
versions must be cleared without a cache_tracker.

Each memtable will have its own cleaner, which will be merged with the
cache's cleaner when memtable is merged into cache.

Fixes some sources of reactor stalls on cache update when there are
large partition entries in memtables.
2018-05-30 14:41:40 +02:00
Tomasz Grabiec
c2d702622e memtable: Destroy partitions incrementally from clear_gently()
Destroying large partitions may stall the reactor for a long
time. Avoid this by clearing incrementally.
2018-05-30 14:41:40 +02:00
Tomasz Grabiec
81d231f35b mvcc: Remove rows from tracker gently
Some parititons may have a lot of rows. Better to iterate over them
incrementally as part of clear_gently() to avoid stalls.
2018-05-30 14:41:40 +02:00
Tomasz Grabiec
40cc766cf2 database: Add API for incremental clearing of partition entries
Partitions can get very large. Destroying them all at once can stall
the reactor for significant amount of time. We want to avoid that by
doing destruction incrementally, deferring in between. A new API is
added for that at various levels:

  stop_iteration clear_gently() noexcept;

It returns stop_iteration::yes when the object is fully cleared and
can be now destroyed quickly. So a deferring destruction can look like
this:

  return repeat([this] { return clear_gently(); });

The reason why clear_gently() doesn't return a future<> itself is that some
contexts cannot defer, like memory reclamation.
2018-05-30 12:18:56 +02:00
Vladimir Krivopalov
948c4d79d3 Collect encoding statistics for memtable updates.
We keep track of all updates and store the minimal values of timestamps,
TTLs and local deletion times across all the inserted data.
These values are written as a part of serialization_header for
Statistics.db and used for delta-encoding values when writing Data.db
file in SSTables 3.0 (mc) format.

For #1969.

Signed-off-by: Vladimir Krivopalov <vladimir@scylladb.com>
2018-04-25 15:39:14 -07:00
Vladimir Krivopalov
e1ee833861 Always pass mutation_partitions to partition_entry::apply()
Previously it was also possible to pass a frozen_mutation to it.
Now we de-serialize frozen mutations at the calling side.

This is a pre-requisite for collecting memtable statistics needed for
writing into the SSTables 3.0 format.

For #1969.

Signed-off-by: Vladimir Krivopalov <vladimir@scylladb.com>
2018-04-25 14:58:47 -07:00
Botond Dénes
f488ae3917 Add buffer_size() to flat_mutation_reader
buffer_size() exposes the collective size of the external memory
consumed by the mutattion-fragments in the flat reader's buffer. This
provides a basis to build basic memory accounting on. Altought this is
not the entire memory consumption of any given reader it is the most
volatile component and usually by far the largest one too.
2018-03-13 10:34:34 +02:00
Tomasz Grabiec
5320705300 cache: Propagate cache_tracker to places manipulating evictable entries
cache_tracker reference will be needed to link/unlink row entries.

No change of behavior in this patch.
2018-03-06 11:50:27 +01:00
Piotr Jastrzebski
29eb9f30bc Fix memtable::clear_gently to work in debug mode.
It was getting into an infinite loop because
need_preempt was always returning true.

Tests: units (release,debug)

Signed-off-by: Piotr Jastrzebski <piotr@scylladb.com>
Message-Id: <a324e7f576b247124080830455c920bdad1f617b.1520025213.git.piotr@scylladb.com>
2018-03-04 14:11:54 +02:00
Avi Kivity
404172652e Merge "Use xxHash for digest instead of MD5" from Duarte
"This series changes digest calculation to use a faster algorithm
(xxHash) and to also cache calculated cell hashes that can be kept in
memory to speed up subsequent digest requests.

The MD5 hash function has proved to be slow for large cell values:

size = 256; elapsed = 4us
size = 512; elapsed = 8us
size = 1024; elapsed = 14us
size = 2048; elapsed = 21us
size = 4096; elapsed = 33us
size = 8192; elapsed = 51us
size = 16384; elapsed = 86us
size = 32768; elapsed = 150us
size = 65536; elapsed = 278us
size = 131072; elapsed = 531us
size = 262144; elapsed = 1032us
size = 524288; elapsed = 2026us
size = 1048576; elapsed = 4004us
size = 2097152; elapsed = 7943us
size = 4194304; elapsed = 15800us
size = 8388608; elapsed = 31731us
size = 16777216; elapsed = 64681us
size = 33554432; elapsed = 130752us
size = 67108864; elapsed = 263154us

The xxHash is a non-cryptographic, 64bit (there's work in progress on
the 128 version) hash that can be used to replace MD5. It performs much
better:

size = 256; elapsed = 2us
size = 512; elapsed = 1us
size = 1024; elapsed = 1us
size = 2048; elapsed = 2us
size = 4096; elapsed = 2us
size = 8192; elapsed = 3us
size = 16384; elapsed = 5us
size = 32768; elapsed = 8us
size = 65536; elapsed = 14us
size = 131072; elapsed = 28us
size = 262144; elapsed = 59us
size = 524288; elapsed = 116us
size = 1048576; elapsed = 226us
size = 2097152; elapsed = 456us
size = 4194304; elapsed = 935us
size = 8388608; elapsed = 1848us
size = 16777216; elapsed = 4723us
size = 33554432; elapsed = 10507us
size = 67108864; elapsed = 21622us

Performance was tested using a 3 node cluster with 1 cpu and 8GB,
and with the following cassandra-stress loaders. Measurements are for
the read workload.

sudo taskset -c 4-15 ./cassandra-stress write cl=ALL n=5000000 -schema 'replication(factor=3)' -col 'size=FIXED(1024) n=FIXED(4)' -mode native cql3 -rate threads=100
sudo taskset -c 4-15 ./cassandra-stress mixed cl=ALL 'ratio(read=1)' n=10000000 -pop 'dist=gauss(1..5000000,5000000,500000)' -col 'size=FIXED(1024) n=FIXED(4)' -mode native cql3 -rate threads=100

xxhash + caching:

Results:
op rate                   : 32699 [READ:32699]
partition rate            : 32699 [READ:32699]
row rate                  : 32699 [READ:32699]
latency mean              : 3.0 [READ:3.0]
latency median            : 3.0 [READ:3.0]
latency 95th percentile   : 3.9 [READ:3.9]
latency 99th percentile   : 4.5 [READ:4.5]
latency 99.9th percentile : 6.6 [READ:6.6]
latency max               : 24.0 [READ:24.0]
Total partitions          : 10000000 [READ:10000000]
Total errors              : 0 [READ:0]
total gc count            : 0
total gc mb               : 0
total gc time (s)         : 0
avg gc time(ms)           : NaN
stdev gc time(ms)         : 0
Total operation time      : 00:05:05
END

md5:

Results:
op rate                   : 25241 [READ:25241]
partition rate            : 25241 [READ:25241]
row rate                  : 25241 [READ:25241]
latency mean              : 3.9 [READ:3.9]
latency median            : 3.9 [READ:3.9]
latency 95th percentile   : 5.1 [READ:5.1]
latency 99th percentile   : 5.8 [READ:5.8]
latency 99.9th percentile : 8.0 [READ:8.0]
latency max               : 24.8 [READ:24.8]
Total partitions          : 10000000 [READ:10000000]
Total errors              : 0 [READ:0]
total gc count            : 0
total gc mb               : 0
total gc time (s)         : 0
avg gc time(ms)           : NaN
stdev gc time(ms)         : 0
Total operation time      : 00:06:36
END

This translates into a 21% improvoment for this workload.

Bigger cell values were also tested:

sudo taskset -c 4-15 ./cassandra-stress write cl=ALL n=1000000 -schema 'replication(factor=3)' -col 'size=FIXED(4096) n=FIXED(4)' -mode native cql3 -rate threads=100
sudo taskset -c 4-15 ./cassandra-stress mixed cl=ALL 'ratio(read=1)' n=10000000 -pop 'dist=gauss(1..1000000,500000,100000)' -col 'size=FIXED(4096) n=FIXED(4)' -mode native cql3 -rate threads=100

xxhash + caching:

Results:
op rate                   : 19964 [READ:19964]
partition rate            : 19964 [READ:19964]
row rate                  : 19964 [READ:19964]
latency mean              : 4.9 [READ:4.9]
latency median            : 4.6 [READ:4.6]
latency 95th percentile   : 7.2 [READ:7.2]
latency 99th percentile   : 11.5 [READ:11.5]
latency 99.9th percentile : 13.6 [READ:13.6]
latency max               : 29.2 [READ:29.2]
Total partitions          : 10000000 [READ:10000000]
Total errors              : 0 [READ:0]
total gc count            : 0
total gc mb               : 0
total gc time (s)         : 0
avg gc time(ms)           : NaN
stdev gc time(ms)         : 0
Total operation time      : 00:08:20
END

md5:

Results:
op rate                   : 12773 [READ:12773]
partition rate            : 12773 [READ:12773]
row rate                  : 12773 [READ:12773]
latency mean              : 7.7 [READ:7.7]
latency median            : 7.3 [READ:7.3]
latency 95th percentile   : 10.2 [READ:10.2]
latency 99th percentile   : 16.8 [READ:16.8]
latency 99.9th percentile : 19.2 [READ:19.2]
latency max               : 71.5 [READ:71.5]
Total partitions          : 10000000 [READ:10000000]
Total errors              : 0 [READ:0]
total gc count            : 0
total gc mb               : 0
total gc time (s)         : 0
avg gc time(ms)           : NaN
stdev gc time(ms)         : 0
Total operation time      : 00:13:02
END

This translates into a 37% improvoment for this workload.

Fixes #2884

Tests: unit-tests (release), dtests (smp=2)

Note: dtests are kinda broken in master (> 30 failures), so take the
tests tag with a grain of himalayan salt."

* 'xxhash/v5' of https://github.com/duarten/scylla: (29 commits)
  tests/row_cache_test: Test hash caching
  tests/memtable_test: Test hash caching
  tests/mutation_test: Use xxHash instead of MD5 for some tests
  tests/mutation_test: Test xx_hasher alongside md5_hasher
  schema: Remove unneeded include
  service/storage_proxy: Enable hash caching
  service/storage_service: Add and use xxhash feature
  message/messaging_service: Specify algorithm when requesting digest
  storage_proxy: Extract decision about digest algorithm to use
  cache_flat_mutation_reader: Pre-calculate cell hash
  partition_snapshot_reader: Pre-calculate cell hash
  query::partition_slice: Add option to specify when digest is requested
  row: Use cached hash for hash calculation
  mutation_partition: Replace hash_row_slice with appending_hash
  mutation_partition: Allow caching cell hashes
  mutation_partition: Force vector_storage internal storage size
  test.py: Increase memory for row_cache_stress_test
  atomic_cell_hash: Add specialization for atomic_cell_or_collection
  query-result: Use digester instead of md5_hasher
  range_tombstone: Replace feed_hash() member function with appending_hash
  ...
2018-02-08 18:24:58 +02:00
Tomasz Grabiec
cce1a2bce8 Merge "Use the CPU scheduler" from Glauber & Avi
In this patchset I am resubmitting Avi's enablement of the CPU scheduler
in his behalf. I've done a ton of testing in the series and there are
some improvements / changes that I had previously sent as a separate series.

What you see here is the result of merging that work.

After this patchset is applied, workloads are smoother and we are able to
uphold the pre-defined shares among the various actors.

We also finally have everything we need to merge the CPU and I/O controllers.
After that is done the code is now much simpler. But also, as a bonus,
controllers that were previously available for I/O only (compactions) are
enabled for CPU as well.

* git@github.com:glommer/scylla.git cpusched-v7:

Avi Kivity (4):
  database, sstables, compaction: convert use of thread_scheduling_group
    to seastar cpu scheduler
  memtable, database: make memtable::clear_gently() inherit
    scheduling_group
  config: mark background_writer_scheduling_quota as Unused
  database: place data_query execution stage into scheduling_group

Glauber Costa (9):
  database, main: set up scheduling_groups for our main tasks
  row_cache: actually use the scheduling group for update_cache
  allow update_cache and clear_gently to use the entire task quota.
  database: remove cpu_flush_quota metric
  controllers: retire auto_adjust_flush_quota
  controllers: allow memtable I/O controller to have shares statically
    set
  controllers: update control points for memtable I/O controller
  controllers: allow a static priority to override the controller output
  controllers: unify the I/O and CPU controllers
2018-02-08 15:58:40 +01:00
Glauber Costa
c4974392b7 allow update_cache and clear_gently to use the entire task quota.
We have had a quota of partitions to process in clear_gently /
update_cache, so that we don't overwork. However, with those things now
being in their own task group there is no harm in allowing it to run
until we reach a natural preemption point.

While we are at it, clear_gently did not check for need_preempt()
before, so this patch fixes it.

Signed-off-by: Glauber Costa <glauber@scylladb.com>
2018-02-07 17:19:29 -05:00
Avi Kivity
ac525c9124 memtable, database: make memtable::clear_gently() inherit scheduling_group
Instead of using a private thread_scheduling_group, make clear_gently use
its caller's scheduling_group to control resource usage.
2018-02-07 17:19:29 -05:00
Tomasz Grabiec
d85d651e0f memtable: Make printable
Useful when debugging test failures.
2018-02-06 14:24:19 +01:00