Then caller can decide whether to copy or move candidate set into the
function. cleanup_sstables_compaction_task can move candidates as
it's no longer needed once it retrieves all descriptors.
Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com>
Today, all compaction strategies will clean up their files using the
incremental approach of one sstable being rewritten at a time.
Turns out that's not the best approach performance wise. Let's take
STCS for example. As cleanup finishes rewriting one file, the output
file is placed into the sstable set. Regular now can compact that
file with another that was already there (e.g. produced by flush after
cleanup started). Inefficient compactions like this can keep happening
as cleanup incrementally places output file into the candidate list
for regular.
This method will allow strategies to clean up their files in batches.
For example, STCS can clean up all files in smallest tiers in single
round, allowing the output data to be added at once. So next compaction
rounds can be more efficient in terms of writeamp. Another benefit is
that deduplication and GC can happen more efficiently.
The drawback is the space requirement, as we no longer compact one file
a a time. However, the impact is minimized by cleaning up the smallest
tier first. With leveled strategy for example, even though 90% of data
is in highest level, the space requirement is not a problem because
we can apply the incremental compaction on its behalf. The same applies
to ICS. With STCS, the requirement is the size of the tier being
compacted, but that's already expected by its users anyway.
By the time being, all strategies have it unimplemented. so they still
use the old behavior where files are rewritten on at a time.
This will allow us to incrementally implement the cleanup method for
all compaction strategies.
Refs #10097.
Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com>
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
The gc_grace_seconds is a very fragile and broken design inherited from
Cassandra. Deleted data can be resurrected if cluster wide repair is not
performed within gc_grace_seconds. This design pushes the job of making
the database consistency to the user. In practice, it is very hard to
guarantee repair is performed within gc_grace_seconds all the time. For
example, repair workload has the lowest priority in the system which can
be slowed down by the higher priority workload, so that there is no
guarantee when a repair can finish. A gc_grace_seconds value that is
used to work might not work after data volume grows in a cluster. Users
might want to avoid running repair during a specific period where
latency is the top priority for their business.
To solve this problem, an automatic mechanism to protect data
resurrection is proposed and implemented. The main idea is to remove the
tombstone only after the range that covers the tombstone is repaired.
In this patch, a new table option tombstone_gc is added. The option is
used to configure tombstone gc mode. For example:
1) GC a tombstone after gc_grace_seconds
cqlsh> ALTER TABLE ks.cf WITH tombstone_gc = {'mode':'timeout'} ;
This is the default mode. If no tombstone_gc option is specified by the
user. The old gc_grace_seconds based gc will be used.
2) Never GC a tombstone
cqlsh> ALTER TABLE ks.cf WITH tombstone_gc = {'mode':'disabled'};
3) GC a tombstone immediately
cqlsh> ALTER TABLE ks.cf WITH tombstone_gc = {'mode':'immediate'};
4) GC a tombstone after repair
cqlsh> ALTER TABLE ks.cf WITH tombstone_gc = {'mode':'repair'};
In addition to the 'mode' option, another option 'propagation_delay_in_seconds'
is added. It defines the max time a write could possibly delay before it
eventually arrives at a node.
A new gossip feature TOMBSTONE_GC_OPTIONS is added. The new tombstone_gc
option can only be used after the whole cluster supports the new
feature. A mixed cluster works with no problem.
Tests: compaction_test.py, ninja test
Fixes#3560
[avi: resolve conflicts vs data_dictionary]
This strategy method was introduced unnecessarily. We assume it was
going to be needed, but turns out it was never needed, not even
for ICS. Also it's built on a wrong assumption as an output
sstable run being generated can never be compacted in parallel
as the non-overlapping requirement can be easily broken.
LCS for example can allow parallel compaction on different runs
(levels) but correctness cannto be guaranteed with same runs
are compacted in parallel.
Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com>
Last method in compaction_strategy using table. From now on,
compaction strategy no longer works directly with table.
Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com>
From now on, get_major_compaction_job() will use table_state instead of
a plain reference to table.
Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com>
From now on, get_sstables_for_compaction() will use table_state.
With table_state, we avoid layer violations like strategy using
manager and also makes testing easier.
Compaction unit tests were temporarily disabled to avoid a giant
commit which is hard to parse.
Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com>
Since compaction is layered on top of sstables, let's move all compaction code
into a new top-level directory.
This change will give me extra motivation to remove all layer violations, like
sstable calling compaction-specific code, and compaction entanglement with
other components like table and storage service.
Next steps:
- remove all layer violations
- move compaction code in sstables namespace into a new one for compaction.
- move compaction unit tests into its own file
Signed-off-by: Raphael S. Carvalho <raphaelsc@scylladb.com>
Message-Id: <20210707194058.87060-1-raphaelsc@scylladb.com>