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scylladb/test/boost
Botond Dénes af46894bb7 Merge 'Rack aware view pairing' from Benny Halevy
Enabled with the tablets_rack_aware_view_pairing cluster feature
rack-aware pairing pairs base to view replicas that are in the
same dc and rack, using their ordinality in the replica map

We distinguish between 2 cases:
- Simple rack-aware pairing: when the replication factor in the dc
  is a multiple of the number of racks and the minimum number of nodes
  per rack in the dc is greater than or equal to rf / nr_racks.

  In this case (that includes the single rack case), all racks would
  have the same number of replicas, so we first filter all replicas
  by dc and rack, retaining their ordinality in the process, and
  finally, we pair between the base replicas and view replicas,
  that are in the same rack, using their original order in the
  tablet-map replica set.

  For example, nr_racks=2, rf=4:
  base_replicas = { N00, N01, N10, N11 }
  view_replicas = { N11, N12, N01, N02 }
  pairing would be: { N00, N01 }, { N01, N02 }, { N10, N11 }, { N11, N12 }
  Note that we don't optimize for self-pairing if it breaks pairing ordinality.

- Complex rack-aware pairing: when the replication factor is not
  a multiple of nr_racks.  In this case, we attempt best-match
  pairing in all racks, using the minimum number of base or view replicas
  in each rack (given their global ordinality), while pairing all the other
  replicas, across racks, sorted by their ordinality.

  For example, nr_racks=4, rf=3:
  base_replicas = { N00, N10, N20 }
  view_replicas = { N11, N21, N31 }
  pairing would be: { N00, N31 }\*, { N10, N11 }, { N20, N21 }
  \* cross-rack pair

  If we'd simply stable-sort both base and view replicas by rack,
  we might end up with much worse pairing across racks:
  { N00, N11 }\*, { N10, N21 }\*, { N20, N31 }\*
  \* cross-rack pair

Fixes scylladb/scylladb#17147

* This is an improvement so no backport is required

Closes scylladb/scylladb#21453

* github.com:scylladb/scylladb:
  network_topology_strategy_test: add tablets rack_aware_view_pairing tests
  view: get_view_natural_endpoint: implement rack-aware pairing for tablets
  view: get_view_natural_endpoint: handle case when there are too few view replicas
  view: get_view_natural_endpoint: track replica locator::nodes
  locator: topology: consult local_dc_rack if node not found by host_id
  locator: node: add dc and rack getters
  feature_service: add tablet_rack_aware_view_pairing feature
  view: get_view_natural_endpoint: refactor predicate function
  view: get_view_natural_endpoint: clarify documentation
  view: mutate_MV: optimize remote_endpoints filtering check
  view: mutate_MV: lookup base and view erms synchronously
  view: mutate_MV: calculate keyspace-dependent flags once
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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:

  1. Some simple tests that check stand-alone C++ functions or classes use Boost's BOOST_AUTO_TEST_CASE.

  2. Some tests require Seastar features, and need to be declared with Seastar's extensions to Boost.Test, namely SEASTAR_TEST_CASE.

  3. 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() or do_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.