async def _run(self, conn: Connection):
self.results.pg_settings, use_feature_id = await show_settings(conn)
print("\nValidating SQL fields in all layers of the tileset")
feature_id = use_feature_id and not self.disable_feature_ids
self.results.settings['use_feature_ids'] = feature_id
mvt = MvtGenerator(self.tileset, use_feature_id=feature_id)
self.results.layer_fields = {}
for layer_id, layer_def in mvt.get_layers():
fields = await mvt.validate_layer_fields(conn, layer_id, layer_def)
self.results.layer_fields[layer_id] = list(fields.keys())
for testcase in self.tests:
await self.run_test(conn, testcase)
print(f"\n\n================ SUMMARY ================")
self.print_summary_graphs('test_summary', lambda t: t.id,
lambda t: f"in test {t.id}", 'Per-test')
self.print_summary_graphs('zoom_summary', lambda tc: str(tc.zoom),
lambda t: f"at z{t.zoom}", 'Per-zoom')
if self.per_layer:
self.print_summary_graphs('layer_summary', lambda t: t.layers_id,
lambda t: f"at {t.fmt_layers()}",
'Per-layer')
self.results.summary = PerfSummary(
duration=sum((v.result.duration for v in self.tests), timedelta()),
tiles=sum(v.size() for v in self.tests),
bytes=sum(v.result.bytes for v in self.tests),
)
print(
self.results.summary.perf_format(self.old_run
and self.old_run.summary))
class Postserve:
pool: Pool
mvt: MvtGenerator
def __init__(self, host, port, pghost, pgport, dbname, user, password,
metadata, layers, tileset_path, sql_file, key_column,
disable_feature_ids, gzip, verbose, exclude_layers,
test_geometry):
self.host = host
self.port = port
self.pghost = pghost
self.pgport = pgport
self.dbname = dbname
self.user = user
self.password = password
self.metadata = metadata
self.tileset_path = tileset_path
self.sql_file = sql_file
self.layer_ids = layers
self.exclude_layers = exclude_layers
self.key_column = key_column
self.gzip = gzip
self.disable_feature_ids = disable_feature_ids
self.test_geometry = test_geometry
self.verbose = verbose
self.tileset = Tileset.parse(self.tileset_path)
async def init_connection(self):
self.metadata["tiles"] = [
f"http://{self.host}:{self.port}" + "/tiles/{z}/{x}/{y}.pbf",
]
self.metadata["vector_layers"] = []
async with self.pool.acquire() as conn:
await show_settings(conn)
self.mvt = MvtGenerator(
self.tileset,
postgis_ver=await get_postgis_version(conn),
zoom='$1',
x='$2',
y='$3',
layer_ids=self.layer_ids,
key_column=self.key_column,
gzip=self.gzip,
use_feature_id=False if self.disable_feature_ids else None,
test_geometry=self.test_geometry,
exclude_layers=self.exclude_layers,
)
pg_types = await get_sql_types(conn)
for layer_id, layer_def in self.mvt.get_layers():
fields = await self.mvt.validate_layer_fields(
conn, layer_id, layer_def)
unknown = {
name: oid
for name, oid in fields.items()
if oid not in pg_types and name != layer_def.geometry_field
}
if unknown:
print(
f"Ignoring fields with unknown SQL types (OIDs): "
f"[{', '.join([f'{n} ({o})' for n, o in unknown.items()])}]"
)
self.metadata["vector_layers"].append(
dict(
id=(layer_def["layer"]['id']),
fields={
name: pg_types[type_oid]
for name, type_oid in fields.items()
if type_oid in pg_types
},
maxzoom=self.metadata["maxzoom"],
minzoom=self.metadata["minzoom"],
description=layer_def["layer"]["description"],
))
def serve(self):
access_log.setLevel(logging.INFO if self.verbose else logging.ERROR)
print(f'Connecting to PostgreSQL at {self.pghost}:{self.pgport}, '
f'db={self.dbname}, user={self.user}...')
io_loop = IOLoop.current()
self.pool = io_loop.run_sync(
partial(create_pool,
dsn=f"postgresql://{self.user}:{self.password}@"
f"{self.pghost}:{self.pgport}/{self.dbname}"))
io_loop.run_sync(partial(self.init_connection))
if self.sql_file:
with open(self.sql_file) as stream:
query = stream.read()
print(f'Loaded {self.sql_file}')
else:
query = self.mvt.generate_sql()
if self.verbose:
print(f'Using SQL query:\n\n-------\n\n{query}\n\n-------\n\n')
application = Application([
(r"/", GetMetadata, dict(metadata=self.metadata)),
(r"/tiles/([0-9]+)/([0-9]+)/([0-9]+).pbf", GetTile,
dict(pool=self.pool,
query=query,
key_column=self.key_column,
gzip=self.gzip,
test_geometry=self.test_geometry,
verbose=self.verbose)),
])
application.listen(self.port)
print(f"Postserve started, listening on 0.0.0.0:{self.port}")
print(f"Use http://{self.host}:{self.port} as the data source")
IOLoop.instance().start()
class PerfTester:
mvt: MvtGenerator
test_cases: List[TestCase]
def __init__(self, tileset: str, tests: List[str], test_all,
layers: List[str], zooms: List[int], dbname: str, pghost,
pgport: str, user: str, password: str, summary: bool,
per_layer: bool, buckets: int, save_to: Union[None, str,
Path],
compare_with: Union[None, str, Path], key_column: bool,
gzip: bool, disable_feature_ids: bool, exclude_layers: bool,
verbose: bool, bboxes: List[str]):
self.tileset = Tileset.parse(tileset)
self.dbname = dbname
self.pghost = pghost
self.pgport = pgport
self.user = user
self.password = password
self.summary = summary
self.buckets = buckets
self.key_column = key_column
self.gzip = gzip
self.disable_feature_ids = disable_feature_ids
self.verbose = verbose
self.per_layer = per_layer
self.save_to = Path(save_to) if save_to else None
self.results = PerfRoot()
if compare_with:
path = Path(compare_with).resolve()
with path.open('r', encoding='utf-8') as fp:
self.old_run: PerfRoot = PerfRoot.from_dict(json.load(fp))
since = round_td(dt.utcnow() -
dt.fromisoformat(self.old_run.created))
print(
f"Comparing results with a previous run created {since} ago: {path}"
)
else:
self.old_run = None
self.all_test_cases = TEST_CASES.copy()
# Fake bbox tests as if they were defined, and create names for them
for bbox_idx, bbox in enumerate(bboxes, start=1):
tc = TestCase(f'bbox_test_{bbox_idx}', bbox, bbox=bbox)
self.all_test_cases[tc.id] = tc
tests.append(tc.id)
for test in tests:
if test not in self.all_test_cases:
cases = '\n'.join(
map(TestCase.fmt_table, self.all_test_cases.values()))
raise DocoptExit(f"Test '{test}' is not defined. "
f"Available tests are:\n{cases}\n")
if test_all:
# Do this after validating individual tests, they are ignored but validated
tests = [v for v in self.all_test_cases.keys() if v != 'null']
all_layers = [v.id for v in self.tileset.layers]
if layers and exclude_layers:
# inverse layers list
layers = [v for v in all_layers if v not in layers]
elif not layers and per_layer:
layers = all_layers
# Keep the order, but ensure no duplicates
self.layers = list(dict.fromkeys(layers))
self.tests = list(dict.fromkeys(tests))
self.zooms = list(dict.fromkeys(zooms))
async def run(self):
print(f'Connecting to PostgreSQL at {self.pghost}:{self.pgport}, '
f'db={self.dbname}, user={self.user}...')
async with asyncpg.create_pool(
database=self.dbname,
host=self.pghost,
port=self.pgport,
user=self.user,
password=self.password,
min_size=1,
max_size=1,
) as pool:
async with pool.acquire() as conn:
self.results.created = dt.utcnow().isoformat()
self.results.tileset = str(
Path(self.tileset.filename).resolve())
await self._run(conn)
self.results.tests = [v.result for v in self.test_cases]
self.save_results()
async def _run(self, conn: Connection):
self.results.pg_settings = await show_settings(conn)
print("\nValidating SQL fields in all layers of the tileset")
self.mvt = MvtGenerator(
self.tileset,
postgis_ver=await get_postgis_version(conn),
zoom='$1',
x='xval.x',
y='yval.y',
use_feature_id=False if self.disable_feature_ids else None,
gzip=self.gzip,
key_column=self.key_column,
)
self.results.layer_fields = {}
for layer_id, layer_def in self.mvt.get_layers():
await self.mvt.validate_layer_fields(conn, layer_id, layer_def)
self.results.layer_fields[layer_id] = layer_def.get_fields()
self.test_cases = []
old_tests = self.old_run.tests if self.old_run else None
for layer in (self.layers if self.per_layer else [None]):
for test in self.tests:
for z in self.zooms:
tc = self.create_testcase(test, z, layer or self.layers)
if old_tests:
tc.old_result = next(
(v for v in old_tests
if v.id == tc.id and v.layers == tc.layers_id
and v.zoom == tc.zoom), None)
self.test_cases.append(tc)
for testcase in self.test_cases:
await self.run_test(conn, testcase)
print(f"\n\n================ SUMMARY ================")
self.print_summary_graphs('test_summary', lambda t: t.id,
lambda t: f"in test {t.id}", 'Per-test')
self.print_summary_graphs('zoom_summary', lambda v: str(v.zoom),
lambda t: f"at z{t.zoom}", 'Per-zoom')
if self.per_layer:
self.print_summary_graphs('layer_summary', lambda t: t.layers_id,
lambda t: f"at {t.fmt_layers()}",
'Per-layer')
self.results.summary = PerfSummary(
duration=sum((v.result.duration for v in self.test_cases),
timedelta()),
tiles=sum(v.size() for v in self.test_cases),
bytes=sum(v.result.bytes for v in self.test_cases),
)
print(
self.results.summary.perf_format(self.old_run
and self.old_run.summary))
def create_testcase(self, test, zoom, layers) -> TestCase:
layers = [layers] if isinstance(layers, str) else layers
self.mvt.set_layer_ids(layers)
query = self.mvt.generate_sql()
if self.key_column:
query = f"SELECT mvt FROM ({query}) AS perfdata"
prefix = 'CAST($1 as int) as z, xval.x as x, yval.y as y,' \
if not self.summary else 'sum'
query = f"""\
SELECT {prefix}(COALESCE(LENGTH(({query})), 0)) AS len FROM
generate_series(CAST($2 as int), CAST($3 as int)) AS xval(x),
generate_series(CAST($4 as int), CAST($5 as int)) AS yval(y);
"""
return self.all_test_cases[test].make_test(zoom, layers, query)
async def run_test(self, conn: Connection, test: TestCase):
results = []
print(f"\nRunning {test.format()}...")
if self.verbose:
print(
f'Using SQL query:\n\n-------\n\n{test.query}\n\n-------\n\n')
args = [
test.query,
test.zoom,
test.start[0],
test.before[0] - 1,
test.start[1],
test.before[1] - 1,
]
start = dt.utcnow()
if self.summary:
test.result.bytes = await conn.fetchval(*args)
else:
for row in await conn.fetch(*args):
results.append(((row['z'], row['x'], row['y']), row['len']))
test.result.bytes += row['len']
test.result.duration = dt.utcnow() - start
test.result.__post_init__()
old = test.old_result
if self.summary:
print(test.result.perf_format(old))
return
if test.size() != len(results):
print(
f"WARNING: Requested {test.size():,} tiles != got {len(results):,}"
)
if not results:
print(f"Query returned no data after {test.result.duration}")
return
test.tiles = len(results)
results.sort(key=lambda v: v[1])
buckets = min(test.tiles, self.buckets)
sums = [0] * buckets
first = [buckets + 1] * buckets
last = [buckets + 1] * buckets
last_ind = -1
for ind, val in enumerate(results):
i = int(float(ind) / test.tiles * buckets)
sums[i] += val[1]
last[i] = ind
if last_ind != i:
first[i] = ind
last_ind = i
test.result.buckets = []
for i in range(buckets):
smallest = results[first[i]]
largest = results[last[i]]
test.result.buckets.append(
PerfBucket(
smallest_id='/'.join(map(str, smallest[0])),
smallest_size=smallest[1],
largest_id='/'.join(map(str, largest[0])),
largest_size=largest[1],
bytes=sums[i],
tiles=(last[i] - first[i] + 1),
))
old_buckets = old and old.buckets or []
print_graph(
f"Tile sizes for {test.tiles:,} tiles "
f"(~{test.tiles / buckets:.0f}/line) done in "
f"{round_td(test.result.duration)} "
f"({test.result.gen_speed:,.1f} tiles/s"
f"{change(old.gen_speed, test.result.gen_speed, True) if old else ''})",
[
v.graph_msg(
old_buckets[ind] if ind < len(old_buckets) else None)
for ind, v in enumerate(test.result.buckets)
],
is_bytes=True)
def print_summary_graphs(self, kind, key: Callable[[TestCase], Any],
key_fmt: Callable[[TestCase], Any], long_msg):
groups = {key(v): key_fmt(v) for v in self.test_cases}
if len(groups) <= 1:
return # do not print one-liner graphs
durations = defaultdict(timedelta)
tile_sizes = defaultdict(int)
tile_counts = defaultdict(int)
for res in self.test_cases:
durations[key(res)] += res.result.duration
tile_sizes[key(res)] += res.result.bytes
tile_counts[key(res)] += res.size()
stats = {
g: PerfSummary(duration=durations[g],
tiles=tile_counts[g],
bytes=tile_sizes[g])
for g in groups
}
setattr(self.results, kind, stats)
old_stats = getattr(self.old_run, kind, None) if self.old_run else None
speed_data = []
size_data = []
for grp, grp_desc in groups.items():
old = old_stats[grp] if old_stats and grp in old_stats else None
speed_data.append(stats[grp].graph_msg(True, grp_desc, old))
size_data.append(stats[grp].graph_msg(False, grp_desc, old))
print_graph(f"{long_msg} generation speed (longer is better)",
speed_data)
print_graph(f"{long_msg} average tile sizes (shorter is better)",
size_data,
is_bytes=True)
def save_results(self):
if self.save_to:
print(f"Saving results to {self.save_to}")
with self.save_to.open('w', encoding='utf-8') as fp:
json.dump(self.results.to_dict(), fp, indent=2)