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-rw-r--r--src/pybind/mgr/pg_autoscaler/tests/test_cal_final_pg_target.py676
1 files changed, 676 insertions, 0 deletions
diff --git a/src/pybind/mgr/pg_autoscaler/tests/test_cal_final_pg_target.py b/src/pybind/mgr/pg_autoscaler/tests/test_cal_final_pg_target.py
new file mode 100644
index 000000000..655025bbe
--- /dev/null
+++ b/src/pybind/mgr/pg_autoscaler/tests/test_cal_final_pg_target.py
@@ -0,0 +1,676 @@
+# python unit test
+import unittest
+from tests import mock
+import pytest
+import json
+from pg_autoscaler import module
+
+
+class RootMapItem:
+
+ def __init__(self, pool_count, pg_target, pg_left):
+
+ self.pool_count = pool_count
+ self.pg_target = pg_target
+ self.pg_left = pg_left
+ self.pool_used = 0
+
+
+class TestPgAutoscaler(object):
+
+ def setup_method(self):
+ # a bunch of attributes for testing.
+ self.autoscaler = module.PgAutoscaler('module_name', 0, 0)
+
+ def helper_test(self, pools, root_map, bias, overlapped_roots):
+ # Here we simulate how _get_pool_pg_target() works.
+
+ bulk_pools = {}
+ even_pools = {}
+
+ # first pass
+ for pool_name, p in pools.items():
+ root_id = p['root_id']
+ if root_id in overlapped_roots:
+ # skip pools with overlapping roots
+ assert p['no_scale']
+ continue
+
+ final_ratio, pool_pg_target, final_pg_target = self.autoscaler._calc_final_pg_target(
+ p, pool_name, root_map,
+ p['root_id'], p['capacity_ratio'],
+ bias, even_pools, bulk_pools, 'first', p['bulk'])
+
+ if final_ratio == None:
+ # no final_ratio means current pool is an even pool
+ # and we do not have to do any assertion on it.
+ continue
+
+ assert p['expected_final_pg_target'] == final_pg_target
+ assert p['expected_final_ratio'] == final_ratio
+ assert not p['expected_bulk_pool'] and pool_name not in bulk_pools
+
+ # second pass
+ for pool_name, p in bulk_pools.items():
+ final_ratio, pool_pg_target, final_pg_target = self.autoscaler._calc_final_pg_target(
+ p, pool_name, root_map,
+ p['root_id'], p['capacity_ratio'],
+ bias, even_pools, bulk_pools, 'second', p['bulk'])
+
+ if final_ratio == None:
+ # no final_ratio means current pool is an even pool
+ # and we do not have to do any assertion on it.
+ continue
+
+ assert p['expected_final_pg_target'] == final_pg_target
+ assert p['expected_final_ratio'] == final_ratio
+ assert not p['even_pools'] and pool_name not in even_pools
+
+ #third pass
+ for pool_name, p in even_pools.items():
+ final_ratio, pool_pg_target, final_pg_target = self.autoscaler._calc_final_pg_target(
+ p, pool_name, root_map,
+ p['root_id'], p['capacity_ratio'],
+ bias, even_pools, bulk_pools, 'third', p['bulk'])
+
+ assert p['expected_final_pg_target'] == final_pg_target
+ assert p['expected_final_ratio'] == final_ratio
+ assert p['even_pools'] and pool_name in even_pools
+
+ def test_even_pools_one_meta_three_bulk(self):
+ pools = {
+
+ "meta_0": {
+
+ "pool": 0,
+ "pool_name": "meta_0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.2,
+ "root_id": 0,
+ "expected_final_pg_target": 64,
+ "expected_final_ratio": 0.2,
+ "expected_bulk_pool": False,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "bulk_0": {
+
+ "pool": 1,
+ "pool_name": "bulk_0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.2,
+ "root_id": 0,
+ "expected_final_pg_target": 128,
+ "expected_final_ratio": 1/3,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk_1": {
+
+ "pool": 2,
+ "pool_name": "bulk_1",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.2,
+ "root_id": 0,
+ "expected_final_pg_target": 128,
+ "expected_final_ratio": 1/3,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk_2": {
+
+ "pool": 3,
+ "pool_name": "bulk_2",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 128,
+ "expected_final_ratio": 1/3,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ }
+
+ root_map = {
+
+ 0: RootMapItem(4, 400, 400),
+ 1: RootMapItem(4, 400, 400),
+
+ }
+
+ bias = 1
+ overlapped_roots = set()
+ self.helper_test(pools, root_map, bias, overlapped_roots)
+
+ def test_even_pools_two_meta_two_bulk(self):
+ pools = {
+
+ "meta0": {
+
+ "pool": 0,
+ "pool_name": "meta0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.2,
+ "root_id": 0,
+ "expected_final_pg_target": 64,
+ "expected_final_ratio": 0.2,
+ "expected_bulk_pool": False,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "meta1": {
+
+ "pool": 1,
+ "pool_name": "meta1",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.2,
+ "root_id": 0,
+ "expected_final_pg_target": 64,
+ "expected_final_ratio": 0.2,
+ "expected_bulk_pool": False,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "bulk0": {
+
+ "pool": 2,
+ "pool_name": "bulk0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.2,
+ "root_id": 0,
+ "expected_final_pg_target": 128,
+ "expected_final_ratio": 0.5,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk1": {
+
+ "pool": 3,
+ "pool_name": "test3",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 128,
+ "expected_final_ratio": 0.5,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ }
+
+ root_map = {
+
+ 0: RootMapItem(4, 400, 400),
+ 1: RootMapItem(4, 400, 400),
+
+ }
+
+ bias = 1
+ overlapped_roots = set()
+ self.helper_test(pools, root_map, bias, overlapped_roots)
+
+ def test_uneven_pools_one_meta_three_bulk(self):
+ pools = {
+
+ "meta0": {
+
+ "pool": 0,
+ "pool_name": "meta0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 32,
+ "expected_final_ratio": 0.1,
+ "expected_bulk_pool": False,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "bulk0": {
+
+ "pool": 1,
+ "pool_name": "bulk0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.5,
+ "root_id": 0,
+ "expected_final_pg_target": 128,
+ "expected_final_ratio": 0.5,
+ "expected_bulk_pool": True,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk1": {
+
+ "pool": 2,
+ "pool_name": "bulk1",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 64,
+ "expected_final_ratio": 0.5,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk2": {
+
+ "pool": 3,
+ "pool_name": "bulk2",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 64,
+ "expected_final_ratio": 0.5,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ }
+
+ root_map = {
+
+ 0: RootMapItem(4, 400, 400),
+ 1: RootMapItem(4, 400, 400),
+
+ }
+
+ bias = 1
+ overlapped_roots = set()
+ self.helper_test(pools, root_map, bias, overlapped_roots)
+
+ def test_uneven_pools_two_meta_two_bulk(self):
+ pools = {
+
+ "meta0": {
+
+ "pool": 0,
+ "pool_name": "meta0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 32,
+ "expected_final_ratio": 0.1,
+ "expected_bulk_pool": False,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "meta1": {
+
+ "pool": 1,
+ "pool_name": "meta1",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 32,
+ "expected_final_ratio": 0.1,
+ "expected_bulk_pool": False,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "bulk0": {
+
+ "pool": 2,
+ "pool_name": "bulk0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.5,
+ "root_id": 0,
+ "expected_final_pg_target": 128,
+ "expected_final_ratio": 0.5,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk1": {
+
+ "pool": 3,
+ "pool_name": "bulk1",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 128,
+ "expected_final_ratio": 0.5,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ }
+
+ root_map = {
+
+ 0: RootMapItem(4, 400, 400),
+ 1: RootMapItem(4, 400, 400),
+
+ }
+
+ bias = 1
+ overlapped_roots = set()
+ self.helper_test(pools, root_map, bias, overlapped_roots)
+
+ def test_uneven_pools_with_diff_roots(self):
+ pools = {
+
+ "meta0": {
+
+ "pool": 0,
+ "pool_name": "meta0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.3,
+ "root_id": 0,
+ "expected_final_pg_target": 1024,
+ "expected_final_ratio": 0.3,
+ "expected_bulk_pool": False,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "meta1": {
+
+ "pool": 1,
+ "pool_name": "meta1",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.6,
+ "root_id": 1,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 0.6,
+ "expected_bulk_pool": False,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "bulk2": {
+
+ "pool": 2,
+ "pool_name": "bulk2",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.6,
+ "root_id": 0,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 0.6,
+ "expected_bulk_pool": True,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk3": {
+
+ "pool": 3,
+ "pool_name": "test3",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 1024,
+ "expected_final_ratio": 1,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk4": {
+
+ "pool": 4,
+ "pool_name": "bulk4",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.4,
+ "root_id": 1,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 1,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ }
+
+ root_map = {
+
+ 0: RootMapItem(3, 5000, 5000),
+ 1: RootMapItem(2, 5000, 5000),
+
+ }
+
+ bias = 1
+ overlapped_roots = set()
+ self.helper_test(pools, root_map, bias, overlapped_roots)
+
+ def test_even_pools_with_diff_roots(self):
+ pools = {
+
+ "meta0": {
+
+ "pool": 0,
+ "pool_name": "meta0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.4,
+ "root_id": 0,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 0.4,
+ "expected_bulk_pool": False,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "meta1": {
+
+ "pool": 1,
+ "pool_name": "meta1",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.6,
+ "root_id": 1,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 0.6,
+ "expected_bulk_pool": False,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": False,
+ "bulk": False,
+ },
+
+ "bulk1": {
+
+ "pool": 2,
+ "pool_name": "bulk1",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.2,
+ "root_id": 0,
+ "expected_final_pg_target": 1024,
+ "expected_final_ratio": 0.5,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk2": {
+
+ "pool": 3,
+ "pool_name": "bulk2",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 1024,
+ "expected_final_ratio": 0.5,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ "bulk3": {
+
+ "pool": 4,
+ "pool_name": "bulk4",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.25,
+ "root_id": 1,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 1,
+ "expected_bulk_pool": True,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": False,
+ "bulk": True,
+ },
+
+ }
+
+ root_map = {
+
+ 0: RootMapItem(3, 5000, 5000),
+ 1: RootMapItem(2, 5000, 5000),
+
+ }
+
+ bias = 1
+ overlapped_roots = set()
+ self.helper_test(pools, root_map, bias, overlapped_roots)
+
+ def test_uneven_pools_with_overlapped_roots(self):
+ pools = {
+
+ "test0": {
+
+ "pool": 0,
+ "pool_name": "test0",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.4,
+ "root_id": 0,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 0.4,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": True,
+ },
+
+ "test1": {
+
+ "pool": 1,
+ "pool_name": "test1",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.6,
+ "root_id": 1,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 0.6,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": True,
+ },
+
+ "test2": {
+
+ "pool": 2,
+ "pool_name": "test2",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.5,
+ "root_id": 0,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 0.5,
+ "even_pools": False,
+ "size": 1,
+ "no_scale": True,
+ },
+
+ "test3": {
+
+ "pool": 3,
+ "pool_name": "test3",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.1,
+ "root_id": 0,
+ "expected_final_pg_target": 512,
+ "expected_final_ratio": 1,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": True,
+ },
+
+ "test4": {
+
+ "pool": 4,
+ "pool_name": "test4",
+ "pg_num_target": 32,
+ "capacity_ratio": 0.4,
+ "root_id": 1,
+ "expected_final_pg_target": 2048,
+ "expected_final_ratio": 1,
+ "even_pools": True,
+ "size": 1,
+ "no_scale": True,
+ },
+
+ }
+
+ root_map = {
+
+ 0: RootMapItem(3, 5000, 5000),
+ 1: RootMapItem(2, 5000, 5000),
+
+ }
+
+ bias = 1
+ overlapped_roots = {0, 1}
+ self.helper_test(pools, root_map, bias, overlapped_roots)