Files
neon/test_runner/fixtures/pageserver/http.py
Tristan Partin 5bd8e2363a Enable all pyupgrade checks in ruff
This will help to keep us from using deprecated Python features going
forward.

Signed-off-by: Tristan Partin <tristan@neon.tech>
2024-10-08 14:32:26 -05:00

988 lines
34 KiB
Python

from __future__ import annotations
import time
from collections import defaultdict
from dataclasses import dataclass
from datetime import datetime
from typing import TYPE_CHECKING, Any
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
from fixtures.common_types import Lsn, TenantId, TenantShardId, TimelineArchivalState, TimelineId
from fixtures.log_helper import log
from fixtures.metrics import Metrics, MetricsGetter, parse_metrics
from fixtures.pg_version import PgVersion
from fixtures.utils import Fn
if TYPE_CHECKING:
from typing import Optional, Union
class PageserverApiException(Exception):
def __init__(self, message, status_code: int):
super().__init__(message)
self.message = message
self.status_code = status_code
class TimelineCreate406(PageserverApiException):
def __init__(self, res: requests.Response):
assert res.status_code == 406
super().__init__(res.json()["msg"], res.status_code)
class TimelineCreate409(PageserverApiException):
def __init__(self, res: requests.Response):
assert res.status_code == 409
super().__init__(res.json()["msg"], res.status_code)
@dataclass
class InMemoryLayerInfo:
kind: str
lsn_start: str
lsn_end: Optional[str]
@classmethod
def from_json(cls, d: dict[str, Any]) -> InMemoryLayerInfo:
return InMemoryLayerInfo(
kind=d["kind"],
lsn_start=d["lsn_start"],
lsn_end=d.get("lsn_end"),
)
@dataclass(frozen=True)
class HistoricLayerInfo:
kind: str
layer_file_name: str
layer_file_size: int
lsn_start: str
lsn_end: Optional[str]
remote: bool
# None for image layers, true if pageserver thinks this is an L0 delta layer
l0: Optional[bool]
visible: bool
@classmethod
def from_json(cls, d: dict[str, Any]) -> HistoricLayerInfo:
# instead of parsing the key range lets keep the definition of "L0" in pageserver
l0_ness = d.get("l0")
assert l0_ness is None or isinstance(l0_ness, bool)
size = d["layer_file_size"]
assert isinstance(size, int)
return HistoricLayerInfo(
kind=d["kind"],
layer_file_name=d["layer_file_name"],
layer_file_size=size,
lsn_start=d["lsn_start"],
lsn_end=d.get("lsn_end"),
remote=d["remote"],
l0=l0_ness,
visible=d["access_stats"]["visible"],
)
@dataclass
class LayerMapInfo:
in_memory_layers: list[InMemoryLayerInfo]
historic_layers: list[HistoricLayerInfo]
@classmethod
def from_json(cls, d: dict[str, Any]) -> LayerMapInfo:
info = LayerMapInfo(in_memory_layers=[], historic_layers=[])
json_in_memory_layers = d["in_memory_layers"]
assert isinstance(json_in_memory_layers, list)
for json_in_memory_layer in json_in_memory_layers:
info.in_memory_layers.append(InMemoryLayerInfo.from_json(json_in_memory_layer))
json_historic_layers = d["historic_layers"]
assert isinstance(json_historic_layers, list)
for json_historic_layer in json_historic_layers:
info.historic_layers.append(HistoricLayerInfo.from_json(json_historic_layer))
return info
def kind_count(self) -> dict[str, int]:
counts: dict[str, int] = defaultdict(int)
for inmem_layer in self.in_memory_layers:
counts[inmem_layer.kind] += 1
for hist_layer in self.historic_layers:
counts[hist_layer.kind] += 1
return counts
def delta_layers(self) -> list[HistoricLayerInfo]:
return [x for x in self.historic_layers if x.kind == "Delta"]
def image_layers(self) -> list[HistoricLayerInfo]:
return [x for x in self.historic_layers if x.kind == "Image"]
def delta_l0_layers(self) -> list[HistoricLayerInfo]:
return [x for x in self.historic_layers if x.kind == "Delta" and x.l0]
def historic_by_name(self) -> set[str]:
return set(x.layer_file_name for x in self.historic_layers)
@dataclass
class TenantConfig:
tenant_specific_overrides: dict[str, Any]
effective_config: dict[str, Any]
@classmethod
def from_json(cls, d: dict[str, Any]) -> TenantConfig:
return TenantConfig(
tenant_specific_overrides=d["tenant_specific_overrides"],
effective_config=d["effective_config"],
)
class PageserverHttpClient(requests.Session, MetricsGetter):
def __init__(
self,
port: int,
is_testing_enabled_or_skip: Fn,
auth_token: Optional[str] = None,
retries: Optional[Retry] = None,
):
super().__init__()
self.port = port
self.auth_token = auth_token
self.is_testing_enabled_or_skip = is_testing_enabled_or_skip
if retries is None:
# We apply a retry policy that is different to the default `requests` behavior,
# because the pageserver has various transiently unavailable states that benefit
# from a client retrying on 503
retries = Retry(
# Status retries are for retrying on 503 while e.g. waiting for tenants to activate
status=5,
# Connection retries are for waiting for the pageserver to come up and listen
connect=5,
# No read retries: if a request hangs that is not expected behavior
# (this may change in future if we do fault injection of a kind that causes
# requests TCP flows to stick)
read=False,
backoff_factor=0.2,
status_forcelist=[503],
allowed_methods=None,
remove_headers_on_redirect=[],
)
self.mount("http://", HTTPAdapter(max_retries=retries))
if auth_token is not None:
self.headers["Authorization"] = f"Bearer {auth_token}"
def without_status_retrying(self) -> PageserverHttpClient:
retries = Retry(
status=0,
connect=5,
read=False,
backoff_factor=0.2,
status_forcelist=[],
allowed_methods=None,
remove_headers_on_redirect=[],
)
return PageserverHttpClient(
self.port, self.is_testing_enabled_or_skip, self.auth_token, retries
)
@property
def base_url(self) -> str:
return f"http://localhost:{self.port}"
def verbose_error(self, res: requests.Response):
try:
res.raise_for_status()
except requests.RequestException as e:
try:
msg = res.json()["msg"]
except: # noqa: E722
msg = ""
raise PageserverApiException(msg, res.status_code) from e
def check_status(self):
self.get(f"http://localhost:{self.port}/v1/status").raise_for_status()
def configure_failpoints(self, config_strings: tuple[str, str] | list[tuple[str, str]]):
self.is_testing_enabled_or_skip()
if isinstance(config_strings, tuple):
pairs = [config_strings]
else:
pairs = config_strings
log.info(f"Requesting config failpoints: {repr(pairs)}")
res = self.put(
f"http://localhost:{self.port}/v1/failpoints",
json=[{"name": name, "actions": actions} for name, actions in pairs],
)
log.info(f"Got failpoints request response code {res.status_code}")
self.verbose_error(res)
res_json = res.json()
assert res_json is None
return res_json
def reload_auth_validation_keys(self):
res = self.post(f"http://localhost:{self.port}/v1/reload_auth_validation_keys")
self.verbose_error(res)
def tenant_list(self) -> list[dict[Any, Any]]:
res = self.get(f"http://localhost:{self.port}/v1/tenant")
self.verbose_error(res)
res_json = res.json()
assert isinstance(res_json, list)
return res_json
def tenant_attach(
self,
tenant_id: Union[TenantId, TenantShardId],
generation: int,
config: None | dict[str, Any] = None,
):
config = config or {}
return self.tenant_location_conf(
tenant_id,
location_conf={
"mode": "AttachedSingle",
"secondary_conf": None,
"tenant_conf": config,
"generation": generation,
},
)
def tenant_detach(self, tenant_id: TenantId):
return self.tenant_location_conf(
tenant_id,
location_conf={
"mode": "Detached",
"secondary_conf": None,
"tenant_conf": {},
"generation": None,
},
)
def tenant_reset(self, tenant_id: Union[TenantId, TenantShardId], drop_cache: bool):
params = {}
if drop_cache:
params["drop_cache"] = "true"
res = self.post(f"http://localhost:{self.port}/v1/tenant/{tenant_id}/reset", params=params)
self.verbose_error(res)
def tenant_location_conf(
self,
tenant_id: Union[TenantId, TenantShardId],
location_conf=dict[str, Any],
flush_ms=None,
lazy: Optional[bool] = None,
):
body = location_conf.copy()
params = {}
if flush_ms is not None:
params["flush_ms"] = str(flush_ms)
if lazy is not None:
params["lazy"] = "true" if lazy else "false"
res = self.put(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/location_config",
json=body,
params=params,
)
self.verbose_error(res)
return res.json()
def tenant_list_locations(self):
res = self.get(
f"http://localhost:{self.port}/v1/location_config",
)
self.verbose_error(res)
res_json = res.json()
assert isinstance(res_json["tenant_shards"], list)
return res_json
def tenant_get_location(self, tenant_id: TenantShardId):
res = self.get(
f"http://localhost:{self.port}/v1/location_config/{tenant_id}",
)
self.verbose_error(res)
return res.json()
def tenant_delete(self, tenant_id: Union[TenantId, TenantShardId]):
res = self.delete(f"http://localhost:{self.port}/v1/tenant/{tenant_id}")
self.verbose_error(res)
return res
def tenant_status(
self, tenant_id: Union[TenantId, TenantShardId], activate: bool = False
) -> dict[Any, Any]:
"""
:activate: hint the server not to accelerate activation of this tenant in response
to this query. False by default for tests, because they generally want to observed the
system rather than interfering with it. This is true by default on the server side,
because in the field if the control plane is GET'ing a tenant it's a sign that it wants
to do something with it.
"""
params = {}
if not activate:
params["activate"] = "false"
res = self.get(f"http://localhost:{self.port}/v1/tenant/{tenant_id}", params=params)
self.verbose_error(res)
res_json = res.json()
assert isinstance(res_json, dict)
return res_json
def tenant_config(self, tenant_id: Union[TenantId, TenantShardId]) -> TenantConfig:
res = self.get(f"http://localhost:{self.port}/v1/tenant/{tenant_id}/config")
self.verbose_error(res)
return TenantConfig.from_json(res.json())
def tenant_heatmap_upload(self, tenant_id: Union[TenantId, TenantShardId]):
res = self.post(f"http://localhost:{self.port}/v1/tenant/{tenant_id}/heatmap_upload")
self.verbose_error(res)
def tenant_secondary_download(
self, tenant_id: Union[TenantId, TenantShardId], wait_ms: Optional[int] = None
) -> tuple[int, dict[Any, Any]]:
url = f"http://localhost:{self.port}/v1/tenant/{tenant_id}/secondary/download"
if wait_ms is not None:
url = url + f"?wait_ms={wait_ms}"
res = self.post(url)
self.verbose_error(res)
return (res.status_code, res.json())
def tenant_secondary_status(self, tenant_id: Union[TenantId, TenantShardId]):
url = f"http://localhost:{self.port}/v1/tenant/{tenant_id}/secondary/status"
res = self.get(url)
self.verbose_error(res)
return res.json()
def set_tenant_config(self, tenant_id: Union[TenantId, TenantShardId], config: dict[str, Any]):
assert "tenant_id" not in config.keys()
res = self.put(
f"http://localhost:{self.port}/v1/tenant/config",
json={**config, "tenant_id": str(tenant_id)},
)
self.verbose_error(res)
def patch_tenant_config_client_side(
self,
tenant_id: TenantId,
inserts: Optional[dict[str, Any]] = None,
removes: Optional[list[str]] = None,
):
current = self.tenant_config(tenant_id).tenant_specific_overrides
if inserts is not None:
current.update(inserts)
if removes is not None:
for key in removes:
del current[key]
self.set_tenant_config(tenant_id, current)
def tenant_size(self, tenant_id: Union[TenantId, TenantShardId]) -> int:
return self.tenant_size_and_modelinputs(tenant_id)[0]
def tenant_size_and_modelinputs(
self, tenant_id: Union[TenantId, TenantShardId]
) -> tuple[int, dict[str, Any]]:
"""
Returns the tenant size, together with the model inputs as the second tuple item.
"""
res = self.get(f"http://localhost:{self.port}/v1/tenant/{tenant_id}/synthetic_size")
self.verbose_error(res)
res = res.json()
assert isinstance(res, dict)
assert TenantId(res["id"]) == tenant_id
size = res["size"]
assert isinstance(size, int)
inputs = res["inputs"]
assert isinstance(inputs, dict)
return (size, inputs)
def tenant_size_debug(self, tenant_id: Union[TenantId, TenantShardId]) -> str:
"""
Returns the tenant size debug info, as an HTML string
"""
res = self.get(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/synthetic_size",
headers={"Accept": "text/html"},
)
return res.text
def tenant_time_travel_remote_storage(
self,
tenant_id: Union[TenantId, TenantShardId],
timestamp: datetime,
done_if_after: datetime,
shard_counts: Optional[list[int]] = None,
):
"""
Issues a request to perform time travel operations on the remote storage
"""
if shard_counts is None:
shard_counts = []
body: dict[str, Any] = {
"shard_counts": shard_counts,
}
res = self.put(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/time_travel_remote_storage?travel_to={timestamp.isoformat()}Z&done_if_after={done_if_after.isoformat()}Z",
json=body,
)
self.verbose_error(res)
def timeline_list(
self,
tenant_id: Union[TenantId, TenantShardId],
include_non_incremental_logical_size: bool = False,
include_timeline_dir_layer_file_size_sum: bool = False,
) -> list[dict[str, Any]]:
params = {}
if include_non_incremental_logical_size:
params["include-non-incremental-logical-size"] = "true"
if include_timeline_dir_layer_file_size_sum:
params["include-timeline-dir-layer-file-size-sum"] = "true"
res = self.get(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline", params=params
)
self.verbose_error(res)
res_json = res.json()
assert isinstance(res_json, list)
return res_json
def timeline_create(
self,
pg_version: PgVersion,
tenant_id: Union[TenantId, TenantShardId],
new_timeline_id: TimelineId,
ancestor_timeline_id: Optional[TimelineId] = None,
ancestor_start_lsn: Optional[Lsn] = None,
existing_initdb_timeline_id: Optional[TimelineId] = None,
**kwargs,
) -> dict[Any, Any]:
body: dict[str, Any] = {
"new_timeline_id": str(new_timeline_id),
"ancestor_start_lsn": str(ancestor_start_lsn) if ancestor_start_lsn else None,
"ancestor_timeline_id": str(ancestor_timeline_id) if ancestor_timeline_id else None,
"existing_initdb_timeline_id": str(existing_initdb_timeline_id)
if existing_initdb_timeline_id
else None,
}
if pg_version != PgVersion.NOT_SET:
body["pg_version"] = int(pg_version)
res = self.post(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline", json=body, **kwargs
)
if res.status_code == 409:
raise TimelineCreate409(res)
if res.status_code == 406:
raise TimelineCreate406(res)
self.verbose_error(res)
res_json = res.json()
assert isinstance(res_json, dict)
return res_json
def timeline_detail(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
include_non_incremental_logical_size: bool = False,
include_timeline_dir_layer_file_size_sum: bool = False,
force_await_initial_logical_size: bool = False,
**kwargs,
) -> dict[Any, Any]:
params = {}
if include_non_incremental_logical_size:
params["include-non-incremental-logical-size"] = "true"
if include_timeline_dir_layer_file_size_sum:
params["include-timeline-dir-layer-file-size-sum"] = "true"
if force_await_initial_logical_size:
params["force-await-initial-logical-size"] = "true"
res = self.get(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}",
params=params,
**kwargs,
)
self.verbose_error(res)
res_json = res.json()
assert isinstance(res_json, dict)
return res_json
def timeline_delete(
self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId, **kwargs
):
"""
Note that deletion is not instant, it is scheduled and performed mostly in the background.
So if you need to wait for it to complete use `timeline_delete_wait_completed`.
For longer description consult with pageserver openapi spec.
"""
res = self.delete(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}", **kwargs
)
self.verbose_error(res)
res_json = res.json()
assert res_json is None
def timeline_gc(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
gc_horizon: Optional[int],
) -> dict[str, Any]:
"""
Unlike most handlers, this will wait for the layers to be actually
complete registering themselves to the deletion queue.
"""
self.is_testing_enabled_or_skip()
log.info(
f"Requesting GC: tenant {tenant_id}, timeline {timeline_id}, gc_horizon {repr(gc_horizon)}"
)
res = self.put(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/do_gc",
json={"gc_horizon": gc_horizon},
)
log.info(f"Got GC request response code: {res.status_code}")
self.verbose_error(res)
res_json = res.json()
assert res_json is not None
assert isinstance(res_json, dict)
return res_json
def timeline_block_gc(self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId):
res = self.post(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/block_gc",
)
log.info(f"Got GC request response code: {res.status_code}")
self.verbose_error(res)
def timeline_unblock_gc(
self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId
):
res = self.post(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/unblock_gc",
)
log.info(f"Got GC request response code: {res.status_code}")
self.verbose_error(res)
def timeline_compact(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
force_repartition=False,
force_image_layer_creation=False,
force_l0_compaction=False,
wait_until_uploaded=False,
enhanced_gc_bottom_most_compaction=False,
):
self.is_testing_enabled_or_skip()
query = {}
if force_repartition:
query["force_repartition"] = "true"
if force_image_layer_creation:
query["force_image_layer_creation"] = "true"
if force_l0_compaction:
query["force_l0_compaction"] = "true"
if wait_until_uploaded:
query["wait_until_uploaded"] = "true"
if enhanced_gc_bottom_most_compaction:
query["enhanced_gc_bottom_most_compaction"] = "true"
log.info(f"Requesting compact: tenant {tenant_id}, timeline {timeline_id}")
res = self.put(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/compact",
params=query,
)
log.info(f"Got compact request response code: {res.status_code}")
self.verbose_error(res)
res_json = res.json()
assert res_json is None
def timeline_preserve_initdb_archive(
self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId
):
log.info(
f"Requesting initdb archive preservation for tenant {tenant_id} and timeline {timeline_id}"
)
res = self.post(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/preserve_initdb_archive",
)
self.verbose_error(res)
def timeline_archival_config(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
state: TimelineArchivalState,
):
config = {"state": state.value}
log.info(
f"requesting timeline archival config {config} for tenant {tenant_id} and timeline {timeline_id}"
)
res = self.put(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/archival_config",
json=config,
)
self.verbose_error(res)
def timeline_get_lsn_by_timestamp(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
timestamp: datetime,
with_lease: bool = False,
**kwargs,
):
log.info(
f"Requesting lsn by timestamp {timestamp}, tenant {tenant_id}, timeline {timeline_id}, {with_lease=}"
)
with_lease_query = f"{with_lease=}".lower()
res = self.get(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/get_lsn_by_timestamp?timestamp={timestamp.isoformat()}Z&{with_lease_query}",
**kwargs,
)
self.verbose_error(res)
res_json = res.json()
return res_json
def timeline_lsn_lease(
self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId, lsn: Lsn
):
data = {
"lsn": str(lsn),
}
log.info(f"Requesting lsn lease for {lsn=}, {tenant_id=}, {timeline_id=}")
res = self.post(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/lsn_lease",
json=data,
)
self.verbose_error(res)
res_json = res.json()
return res_json
def timeline_get_timestamp_of_lsn(
self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId, lsn: Lsn
):
log.info(f"Requesting time range of lsn {lsn}, tenant {tenant_id}, timeline {timeline_id}")
res = self.get(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/get_timestamp_of_lsn?lsn={lsn}",
)
self.verbose_error(res)
res_json = res.json()
return res_json
def timeline_layer_map_info(
self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId
):
log.info(f"Requesting layer map info of tenant {tenant_id}, timeline {timeline_id}")
res = self.get(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/layer",
)
self.verbose_error(res)
res_json = res.json()
return res_json
def timeline_checkpoint(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
force_repartition=False,
force_image_layer_creation=False,
force_l0_compaction=False,
wait_until_uploaded=False,
compact: Optional[bool] = None,
**kwargs,
):
self.is_testing_enabled_or_skip()
query = {}
if force_repartition:
query["force_repartition"] = "true"
if force_image_layer_creation:
query["force_image_layer_creation"] = "true"
if force_l0_compaction:
query["force_l0_compaction"] = "true"
if wait_until_uploaded:
query["wait_until_uploaded"] = "true"
if compact is not None:
query["compact"] = "true" if compact else "false"
log.info(f"Requesting checkpoint: tenant {tenant_id}, timeline {timeline_id}")
res = self.put(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/checkpoint",
params=query,
**kwargs,
)
log.info(f"Got checkpoint request response code: {res.status_code}")
self.verbose_error(res)
res_json = res.json()
assert res_json is None
def timeline_spawn_download_remote_layers(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
max_concurrent_downloads: int,
) -> dict[str, Any]:
body = {
"max_concurrent_downloads": max_concurrent_downloads,
}
res = self.post(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/download_remote_layers",
json=body,
)
self.verbose_error(res)
res_json = res.json()
assert res_json is not None
assert isinstance(res_json, dict)
return res_json
def timeline_poll_download_remote_layers_status(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
spawn_response: dict[str, Any],
poll_state=None,
) -> None | dict[str, Any]:
res = self.get(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/download_remote_layers",
)
self.verbose_error(res)
res_json = res.json()
assert res_json is not None
assert isinstance(res_json, dict)
# assumption in this API client here is that nobody else spawns the task
assert res_json["task_id"] == spawn_response["task_id"]
if poll_state is None or res_json["state"] == poll_state:
return res_json
return None
def timeline_download_remote_layers(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
max_concurrent_downloads: int,
errors_ok=False,
at_least_one_download=True,
):
res = self.timeline_spawn_download_remote_layers(
tenant_id, timeline_id, max_concurrent_downloads
)
while True:
completed = self.timeline_poll_download_remote_layers_status(
tenant_id, timeline_id, res, poll_state="Completed"
)
if not completed:
time.sleep(0.1)
continue
if not errors_ok:
assert completed["failed_download_count"] == 0
if at_least_one_download:
assert completed["successful_download_count"] > 0
return completed
def get_metrics_str(self) -> str:
"""You probably want to use get_metrics() instead."""
res = self.get(f"http://localhost:{self.port}/metrics")
self.verbose_error(res)
return res.text
def get_metrics(self) -> Metrics:
res = self.get_metrics_str()
return parse_metrics(res)
def get_timeline_metric(
self, tenant_id: TenantId, timeline_id: TimelineId, metric_name: str
) -> float:
metrics = self.get_metrics()
return metrics.query_one(
metric_name,
filter={
"tenant_id": str(tenant_id),
"timeline_id": str(timeline_id),
},
).value
def get_remote_timeline_client_queue_count(
self,
tenant_id: TenantId,
timeline_id: TimelineId,
file_kind: str,
op_kind: str,
) -> Optional[int]:
metrics = [
"pageserver_remote_timeline_client_calls_started_total",
"pageserver_remote_timeline_client_calls_finished_total",
]
res = self.get_metrics_values(
metrics,
filter={
"tenant_id": str(tenant_id),
"timeline_id": str(timeline_id),
"file_kind": str(file_kind),
"op_kind": str(op_kind),
},
absence_ok=True,
)
if len(res) != 2:
return None
inc, dec = (res[metric] for metric in metrics)
queue_count = int(inc) - int(dec)
assert queue_count >= 0
return queue_count
def layer_map_info(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
) -> LayerMapInfo:
res = self.get(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/layer/",
)
self.verbose_error(res)
return LayerMapInfo.from_json(res.json())
def download_layer(
self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId, layer_name: str
):
res = self.get(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/layer/{layer_name}",
)
self.verbose_error(res)
assert res.status_code == 200
def download_all_layers(
self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId
):
info = self.layer_map_info(tenant_id, timeline_id)
for layer in info.historic_layers:
if not layer.remote:
continue
self.download_layer(tenant_id, timeline_id, layer.layer_file_name)
def detach_ancestor(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
batch_size: int | None = None,
**kwargs,
) -> set[TimelineId]:
params = {}
if batch_size is not None:
params["batch_size"] = batch_size
res = self.put(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/detach_ancestor",
params=params,
**kwargs,
)
self.verbose_error(res)
json = res.json()
return set(map(TimelineId, json["reparented_timelines"]))
def evict_layer(
self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId, layer_name: str
):
res = self.delete(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/layer/{layer_name}",
)
self.verbose_error(res)
assert res.status_code in (200, 304)
def evict_all_layers(self, tenant_id: Union[TenantId, TenantShardId], timeline_id: TimelineId):
info = self.layer_map_info(tenant_id, timeline_id)
for layer in info.historic_layers:
self.evict_layer(tenant_id, timeline_id, layer.layer_file_name)
def disk_usage_eviction_run(self, request: dict[str, Any]):
res = self.put(
f"http://localhost:{self.port}/v1/disk_usage_eviction/run",
json=request,
)
self.verbose_error(res)
return res.json()
def tenant_break(self, tenant_id: Union[TenantId, TenantShardId]):
res = self.put(f"http://localhost:{self.port}/v1/tenant/{tenant_id}/break")
self.verbose_error(res)
def post_tracing_event(self, level: str, message: str):
res = self.post(
f"http://localhost:{self.port}/v1/tracing/event",
json={
"level": level,
"message": message,
},
)
self.verbose_error(res)
def deletion_queue_flush(self, execute: bool = False):
self.put(
f"http://localhost:{self.port}/v1/deletion_queue/flush?execute={'true' if execute else 'false'}"
).raise_for_status()
def timeline_wait_logical_size(self, tenant_id: TenantId, timeline_id: TimelineId) -> int:
detail = self.timeline_detail(
tenant_id,
timeline_id,
include_non_incremental_logical_size=True,
force_await_initial_logical_size=True,
)
current_logical_size = detail["current_logical_size"]
non_incremental = detail["current_logical_size_non_incremental"]
assert current_logical_size == non_incremental
assert isinstance(current_logical_size, int)
return current_logical_size
def top_tenants(
self, order_by: str, limit: int, where_shards_lt: int, where_gt: int
) -> dict[Any, Any]:
res = self.post(
f"http://localhost:{self.port}/v1/top_tenants",
json={
"order_by": order_by,
"limit": limit,
"where_shards_lt": where_shards_lt,
"where_gt": where_gt,
},
)
self.verbose_error(res)
return res.json() # type: ignore
def perf_info(
self,
tenant_id: Union[TenantId, TenantShardId],
timeline_id: TimelineId,
):
self.is_testing_enabled_or_skip()
log.info(f"Requesting perf info: tenant {tenant_id}, timeline {timeline_id}")
res = self.post(
f"http://localhost:{self.port}/v1/tenant/{tenant_id}/timeline/{timeline_id}/perf_info",
)
log.info(f"Got perf info response code: {res.status_code}")
self.verbose_error(res)
return res.json()