blob: 6ef6429ba700bd65459a22e034c9154c6ff05236 [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from typing import Optional
from skywalking import Component, agent, config
from skywalking import profile
from skywalking.agent import isfull
from skywalking.profile.profile_status import ProfileStatusReference
from skywalking.trace import ID
from skywalking.trace.carrier import Carrier
from skywalking.trace.segment import Segment, SegmentRef
from skywalking.trace.snapshot import Snapshot
from skywalking.trace.span import Span, Kind, NoopSpan, EntrySpan, ExitSpan
from skywalking.utils.counter import Counter
from skywalking.utils.exception import IllegalStateError
from skywalking.utils.time import current_milli_time
try: # attempt to use async-local instead of thread-local context and spans
import contextvars
__spans = contextvars.ContextVar('spans')
_spans = __spans.get
_spans_set = __spans.set # pyre-ignore
def _spans(): # need to do this because can't set mutable default = [] in contextvars.ContextVar()
spans = __spans.get(None)
if spans is not None:
return spans
spans = []
__spans.set(spans)
return spans
def _spans_dup():
spans = __spans.get()[:]
__spans.set(spans)
return spans
__spans.set([])
except ImportError:
import threading
class SwLocal(threading.local):
def __init__(self):
self.spans = []
__local = SwLocal()
def _spans():
return __local.spans
def _spans_set(spans):
__local.spans = spans
_spans_dup = _spans
class PrimaryEndpoint:
"""
Behavior mocks Java agent's PrimaryEndpoint.
Primary endpoint name is used for endpoint dependency. The name pick policy according to priority is
1. Use the first entry span's operation name
2. Use the first span's operation name
"""
def __init__(self, span: Span):
self.span: Span = span
def set_primary_endpoint(self, span):
if self.span.kind != Kind.Entry and span.kind == Kind.Entry:
self.span = span
def get_name(self):
return self.span.op
class SpanContext:
def __init__(self):
self.segment: Segment = Segment()
self._sid: Counter = Counter()
self._correlation: dict = {}
self._nspans: int = 0
self.profile_status: Optional[ProfileStatusReference] = None
self.create_time = current_milli_time()
self.primary_endpoint: Optional[PrimaryEndpoint] = None
@staticmethod
def ignore_check(op: str, kind: Kind, carrier: Optional[Carrier] = None):
if config.RE_IGNORE_PATH.match(op) or isfull() or (carrier is not None and carrier.is_suppressed):
return NoopSpan(context=NoopContext())
return None
def new_span(self, parent: Optional[Span], SpanType: type, **kwargs) -> Span: # noqa
finished = parent and not parent.depth
context = SpanContext() if finished else self
span = SpanType(context=context,
sid=context._sid.next(),
pid=parent.sid if parent and not finished else -1,
**kwargs)
# if parent finished and segment was archived before this child starts then we need to refer to parent
if finished:
carrier = Carrier(
trace_id=str(parent.context.segment.related_traces[0]),
segment_id=str(parent.context.segment.segment_id),
span_id=str(parent.sid),
service=config.agent_name,
service_instance=config.agent_instance_name,
endpoint=parent.op,
client_address=parent.peer,
correlation=parent.context._correlation,
)
Span.extract(span, carrier)
return span
def new_local_span(self, op: str) -> Span:
span = self.ignore_check(op, Kind.Local)
if span is not None:
return span
parent = self.peek()
return self.new_span(parent, Span, op=op, kind=Kind.Local)
def new_entry_span(self, op: str, carrier: Optional[Carrier] = None, inherit: Optional[Component] = None) -> Span:
span = self.ignore_check(op, Kind.Entry, carrier)
if span is not None:
return span
parent = self.peek()
# start profiling if profile_context is set
if self.profile_status is None:
self.profile_status = profile.profile_task_execution_service.add_profiling(self,
self.segment.segment_id,
op)
if parent is not None and parent.kind.is_entry and inherit == parent.component:
# Span's operation name could be overridden, recheck here
# if the op name now is being profiling, start profile it here
self.profiling_recheck(parent, op)
span = parent
span.op = op
else:
span = self.new_span(parent, EntrySpan, op=op)
if carrier is not None and carrier.is_valid: # TODO: should this be done irrespective of inheritance?
span.extract(carrier=carrier)
return span
def new_exit_span(self, op: str, peer: str,
component: Optional[Component] = None, inherit: Optional[Component] = None) -> Span:
span = self.ignore_check(op, Kind.Exit)
if span is not None:
return span
parent = self.peek()
if parent is not None and parent.kind.is_exit and component == parent.inherit:
span = parent
span.op = op
span.peer = peer
span.component = component
else:
span = self.new_span(parent, ExitSpan, op=op, peer=peer, component=component)
if inherit:
span.inherit = inherit
return span
def profiling_recheck(self, span: Span, op_name: str):
# only check first span, e.g, first opname is correct.
if span.sid != 0:
return
profile.profile_task_execution_service.profiling_recheck(self, self.segment.segment_id, op_name)
def start(self, span: Span):
self._nspans += 1
spans = _spans_dup()
if span not in spans:
spans.append(span)
# check primary endpoint is set
if not self.primary_endpoint:
self.primary_endpoint = PrimaryEndpoint(span)
else:
self.primary_endpoint.set_primary_endpoint(span)
def stop(self, span: Span) -> bool:
spans = _spans_dup()
span.finish(self.segment)
try:
spans.remove(span)
except ValueError:
pass
self._nspans -= 1
if self._nspans == 0:
agent.archive(self.segment)
return True
return False
@staticmethod
def peek() -> Optional[Span]:
spans = _spans()
return spans[-1] if spans else None
@property
def active_span(self):
active_span = self.peek()
if not active_span:
raise IllegalStateError('No active span')
return active_span
def get_correlation(self, key):
if key in self._correlation:
return self._correlation[key]
return None
def put_correlation(self, key, value):
if key is None:
return
if value is None:
self._correlation.pop(key, value)
return
if len(value) > config.correlation_value_max_length:
return
if len(self._correlation) > config.correlation_element_max_number:
return
self._correlation[key] = value
def capture(self):
spans = _spans()
if len(spans) == 0:
return None
return Snapshot(
segment_id=str(self.segment.segment_id),
span_id=self.active_span.sid,
trace_id=self.segment.related_traces[0],
endpoint=spans[0].op,
correlation=self._correlation,
)
def continued(self, snapshot: 'Snapshot'):
if snapshot is None:
return None
if not snapshot.is_from_current(self) and snapshot.is_valid():
ref = SegmentRef.build_ref(snapshot)
span = self.active_span
span.refs.append(ref)
self.segment.relate(ID(ref.trace_id))
self._correlation.update(snapshot.correlation)
class NoopContext(SpanContext):
def __init__(self):
super().__init__()
def new_local_span(self, op: str) -> Span:
return NoopSpan(self)
def new_entry_span(self, op: str, carrier: Optional[Carrier] = None, inherit: Optional[Component] = None) -> Span:
return NoopSpan(self)
def new_exit_span(self, op: str, peer: str,
component: Optional[Component] = None, inherit: Optional[Component] = None) -> Span:
return NoopSpan(self)
def stop(self, span: Span) -> bool:
spans = _spans_dup()
try:
spans.remove(span)
except ValueError:
pass
self._nspans -= 1
return self._nspans == 0
def capture(self):
return Snapshot(
segment_id=None,
span_id=-1,
trace_id=None,
endpoint=None,
correlation=self._correlation,
)
def continued(self, snapshot: 'Snapshot'):
self._correlation.update(snapshot.correlation)
def get_context() -> SpanContext:
spans = _spans()
if spans:
return spans[-1].context
return SpanContext()