cff90755d8
Before this patch, the load balancer was equalizing tablet count per
shard, so it achieved balance assuming that:
1) tablets have the same size
2) shards have the same capacity
That can cause imbalance of utilization if shards have different
capacity, which can happen in heterogeneous clusters with different
instance types. One of the causes for capacity difference is that
larger instances run with fewer shards due to vCPUs being dedicated to
IRQ handling. This makes those shards have more disk capacity, and
more CPU power.
After this patch, the load balancer equalizes shard's storage
utilization, so it no longer assumes that shards have the same
capacity. It still assumes that each tablet has equal size. So it's a
middle step towards full size-aware balancing.
One consequence is that to be able to balance, the load balancer need
to know about every node's capacity, which is collected with the same
RPC which collects load_stats for average tablet size. This is not a
significant set back because migrations cannot proceed anyway if nodes
are down due to barriers. We could make intra-node migration
scheduling work without capacity information, but it's pointless due
to above, so not implemented.
Also, per-shard goal for tablet count is still the same for all nodes in the cluster,
so nodes with less capacity will be below limit and nodes with more capacity will
be slightly above limit. This shouldn't be a significant problem in practice, we could
compensate for this by increasing the limit.
Refs #23042
Closes scylladb/scylladb#23079
* github.com:scylladb/scylladb:
tablets: Make load balancing capacity-aware
topology_coordinator: Fix confusing log message
topology_coordinator: Refresh load stats after adding a new node
topology_coordinator: Allow capacity stats to be refreshed with some nodes down
topology_coordinator: Refactor load status refreshing so that it can be triggered from multiple places
test: boost: tablets_test: Always provide capacity in load_stats
test: perf_load_balancing: Set node capacity
test: perf_load_balancing: Convert to topology_builder
config, disk_space_monitor: Allow overriding capacity via config
storage_service, tablets: Collect per-node capacity in load_stats
(cherry picked from commit b1d9f80d85)
Scylla unit tests using C++ and the Boost test framework
The source files in this directory are Scylla unit tests written in C++ using the Boost.Test framework. These unit tests come in three flavors:
-
Some simple tests that check stand-alone C++ functions or classes use Boost's
BOOST_AUTO_TEST_CASE. -
Some tests require Seastar features, and need to be declared with Seastar's extensions to Boost.Test, namely
SEASTAR_TEST_CASE. -
Even more elaborate tests require not just a functioning Seastar environment but also a complete (or partial) Scylla environment. Those tests use the
do_with_cql_env()ordo_with_cql_env_thread()function to set up a mostly-functioning environment behaving like a single-node Scylla, in which the test can run.
While we have many tests of the third flavor, writing new tests of this type should be reserved to white box tests - tests where it is necessary to inspect or control Scylla internals that do not have user-facing APIs such as CQL. In contrast, black-box tests - tests that can be written only using user-facing APIs, should be written in one of newer test frameworks that we offer - such as test/cqlpy or test/alternator (in Python, using the CQL or DynamoDB APIs respectively) or test/cql (using textual CQL commands), or - if more than one Scylla node is needed for a test - using the test/topology* framework.
Running tests
Because these are C++ tests, they need to be compiled before running.
To compile a single test executable row_cache_test, use a command like
ninja build/dev/test/boost/row_cache_test
You can also use ninja dev-test to build all C++ tests, or use
ninja deb-build to build the C++ tests and also the full Scylla executable
(however, note that full Scylla executable isn't needed to run Boost tests).
Replace "dev" by "debug" or "release" in the examples above and below to use the "debug" build mode (which, importantly, compiles the test with ASAN and UBSAN enabling on and helps catch difficult-to-catch use-after-free bugs) or the "release" build mode (optimized for run speed).
To run an entire test file row_cache_test, including all its test
functions, use a command like:
build/dev/test/boost/row_cache_test -- -c1 -m1G
to run a single test function test_reproduce_18045() from the longer test
file, use a command like:
build/dev/test/boost/row_cache_test -t test_reproduce_18045 -- -c1 -m1G
In these command lines, the parameters before the -- are passed to
Boost.Test, while the parameters after the -- are passed to the test code,
and in particular to Seastar. In this example Seastar is asked to run on one
CPU (-c1) and use 1G of memory (-m1G) instead of hogging the entire
machine. The Boost.Test option -t test_reproduce_18045 asks it to run just
this one test function instead of all the test functions in the executable.
Unfortunately, interrupting a running test with control-C while doesn't
work. This is a known bug (#5696). Kill a test with SIGKILL (-9) if you
need to kill it while it's running.
Boost tests can also be run using test.py - which is a script that provides a uniform way to run all tests in scylladb.git - C++ tests, Python tests, etc.
Writing tests
Because of the large build time and build size of each separate test executable, it is recommended to put test functions into relatively large source files. But not too large - to keep compilation time of a single source file (during development) at reasonable levels.
When adding new source files in test/boost, don't forget to list the new source file in configure.py and also in CMakeLists.txt. The former is needed by our CI, but the latter is preferred by some developers.