spans/unique

Author: crusaderky

distributed/scheduler.py

@@ -1063,11 +1063,12 @@ class TaskGroup:
     #: Cumulative duration of all completed actions, by action
     all_durations: defaultdict[str, float]
 
-    #: Span ID (see distributed.spans).
+    #: Span ID (see ``distributed.spans``).
+    #: Matches ``distributed.worker_state_machine.TaskState.span_id``.
     #: It is possible to end up in situation where different tasks of the same TaskGroup
     #: belong to different spans; the purpose of this attribute is to arbitrarily force
     #: everything onto the earliest encountered one.
-    span: tuple[str, ...]
+    span_id: str | None
 
     __slots__ = tuple(__annotations__)
 
@@ -1084,7 +1085,7 @@ def __init__(self, name: str):
         self.all_durations = defaultdict(float)
         self.last_worker = None
         self.last_worker_tasks_left = 0
-        self.span = ()
+        self.span_id = None
 
     def add_duration(self, action: str, start: float, stop: float) -> None:
         duration = stop - start
@@ -3338,6 +3339,7 @@ def _task_to_msg(self, ts: TaskState, duration: float = -1) -> dict[str, Any]:
             "resource_restrictions": ts.resource_restrictions,
             "actor": ts.actor,
             "annotations": ts.annotations,
+            "span_id": ts.group.span_id,
         }
         if self.validate:
             assert all(msg["who_has"].values())
@@ -4448,13 +4450,11 @@ def update_graph(
 
         spans_ext: SpansExtension | None = self.extensions.get("spans")
         if spans_ext:
-            span_annotations = spans_ext.new_tasks(new_tasks)
-            if span_annotations:
-                resolved_annotations["span"] = span_annotations
-            else:
-                # Edge case where some tasks define a span, while earlier tasks in the
-                # same TaskGroup don't define any
-                resolved_annotations.pop("span", None)
+            spans_ext.new_tasks(new_tasks)
+            # TaskGroup.span_id could be completely different from the one in the
+            # original annotations, so it has been dropped. Drop it here as well in
+            # order not to confuse SchedulerPlugin authors.
+            resolved_annotations.pop("span", None)
 
         for plugin in list(self.plugins.values()):
             try:

distributed/spans.py

@@ -1,9 +1,11 @@
 from __future__ import annotations
 
+import uuid
+import weakref
 from collections import defaultdict
 from collections.abc import Iterable, Iterator
 from contextlib import contextmanager
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Any
 
 import dask.config
 
@@ -15,18 +17,26 @@
 
 
 @contextmanager
-def span(*tags: str) -> Iterator[None]:
+def span(*tags: str) -> Iterator[str]:
     """Tag group of tasks to be part of a certain group, called a span.
 
-    This context manager can be nested, thus creating sub-spans.
-    Every cluster defines a global "default" span when no span has been defined by the client.
+    This context manager can be nested, thus creating sub-spans. If you close and
+    re-open a span context manager with the same tag, you'll end up with two separate
+    spans.
+
+    Every cluster defines a global "default" span when no span has been defined by the
+    client; the default span is automatically closed and reopened when all tasks
+    associated to it have been completed; in other words the cluster is idle save for
+    tasks that are explicitly annotated by a span. Note that, in some edge cases, you
+    may end up with overlapping default spans, e.g. if a worker crashes and all unique
+    tasks that were in memory on it need to be recomputed.
 
     Examples
     --------
     >>> import dask.array as da
     >>> import distributed
     >>> client = distributed.Client()
-    >>> with span("my_workflow"):
+    >>> with span("my workflow"):
     ...     with span("phase 1"):
     ...         a = da.random.random(10)
     ...         b = a + 1
@@ -36,39 +46,59 @@ def span(*tags: str) -> Iterator[None]:
     >>> d.compute()
 
     In the above example,
-    - Tasks of collections a and b will be annotated on the scheduler and workers with
-      ``{'span': ('my_workflow', 'phase 1')}``
-    - Tasks of collection c (that aren't already part of a or b) will be annotated with
-      ``{'span': ('my_workflow', 'phase 2')}``
-    - Tasks of collection d (that aren't already part of a, b, or c) will *not* be
-      annotated but will nonetheless be attached to span ``('default', )``
+    - Tasks of collections a and b are annotated to belong to span
+      ``('my workflow', 'phase 1')``, 'ids': (<id0>, <id1>)}``;
+    - Tasks of collection c (that aren't already part of a or b) are annotated to belong
+      to span ``('my workflow', 'phase 2')``;
+    - Tasks of collection d (that aren't already part of a, b, or c) are *not*
+      annotated but will nonetheless be attached to span ``('default', )``.
 
     You may also set more than one tag at once; e.g.
     >>> with span("workflow1", "version1"):
     ...     ...
 
+    Finally, you may capture the ID of a span on the client to match it with the
+    :class:`Span` objects the scheduler:
+    >>> cluster = distributed.LocalCluster()
+    >>> client = distributed.Client(cluster)
+    >>> with span("my workflow") as span_id:
+    ...     client.submit(lambda: "Hello world!").result()
+    >>> span = client.cluster.scheduler.extensions["spans"].spans[span_id]
 
-    Note
-    ----
+    Notes
+    -----
     Spans are based on annotations, and just like annotations they can be lost during
-    optimization. Set config ``optimizatione.fuse.active: false`` to prevent this issue.
+    optimization. Set config ``optimization.fuse.active: false`` to prevent this issue.
     """
-    prev_id = dask.config.get("annotations.span", ())
-    with dask.config.set({"annotations.span": prev_id + tags}):
-        yield
+    if not tags:
+        raise ValueError("Must specify at least one span tag")
+
+    prev_tags = dask.config.get("annotations.span.name", ())
+    # You must specify the full history of IDs, not just the parent, because
+    # otherwise you would not be able to uniquely identify grandparents when
+    # they have no tasks of their own.
+    prev_ids = dask.config.get("annotations.span.ids", ())
+    ids = tuple(str(uuid.uuid4()) for _ in tags)
+    with dask.annotate(span={"name": prev_tags + tags, "ids": prev_ids + ids}):
+        yield ids[-1]
 
 
 class Span:
     #: (<tag>, <tag>, ...)
-    #: Matches ``TaskState.annotations["span"]``, both on the scheduler and the worker,
-    #: as well as ``TaskGroup.span``.
-    #: Tasks with no 'span' annotation will be attached to Span ``("default", )``.
-    id: tuple[str, ...]
+    #: Matches ``TaskState.annotations["span"]["name"]``, both on the scheduler and the
+    #: worker.
+    name: tuple[str, ...]
+
+    #: <uuid>
+    #: Taken from ``TaskState.annotations["span"]["id"][-1]``.
+    #: Matches ``distributed.scheduler.TaskState.group.span_id``
+    #: and ``distributed.worker_state_machine.TaskState.span_id``.
+    id: str
 
-    #: Direct children of this span tree
-    #: Note: you can get the parent through
-    #: ``distributed.extensions["spans"].spans[self.id[:-1]]``
-    children: set[Span]
+    _parent: weakref.ref[Span] | None
+
+    #: Direct children of this span, sorted by creation time
+    children: list[Span]
 
     #: Task groups *directly* belonging to this span.
     #:
@@ -94,25 +124,40 @@ class Span:
     #: stop
     enqueued: float
 
+    # Support for weakrefs to a class with __slots__
+    __weakref__: Any
+
     __slots__ = tuple(__annotations__)
 
-    def __init__(self, span_id: tuple[str, ...], enqueued: float):
-        self.id = span_id
-        self.enqueued = enqueued
-        self.children = set()
+    def __init__(self, name: tuple[str, ...], id_: str, parent: Span | None):
+        self.name = name
+        self.id = id_
+        self._parent = weakref.ref(parent) if parent is not None else None
+        self.enqueued = time()
+        self.children = []
         self.groups = set()
 
     def __repr__(self) -> str:
-        return f"Span{self.id}"
+        return f"Span<name={self.name}, id={self.id}>"
+
+    @property
+    def parent(self) -> Span | None:
+        if self._parent:
+            out = self._parent()
+            assert out
+            return out
+        return None
 
     def traverse_spans(self) -> Iterator[Span]:
-        """Top-down recursion of all spans belonging to this span tree, including self"""
+        """Top-down recursion of all spans belonging to this branch off span tree,
+        including self
+        """
         yield self
         for child in self.children:
             yield from child.traverse_spans()
 
     def traverse_groups(self) -> Iterator[TaskGroup]:
-        """All TaskGroups belonging to this span tree"""
+        """All TaskGroups belonging to this branch of span tree"""
         for span in self.traverse_spans():
             yield from span.groups
 
@@ -161,10 +206,26 @@ def states(self) -> defaultdict[TaskStateState, int]:
         """
         out: defaultdict[TaskStateState, int] = defaultdict(int)
         for tg in self.traverse_groups():
-            for state, cnt in tg.states.items():
-                out[state] += cnt
+            for state, count in tg.states.items():
+                out[state] += count
         return out
 
+    @property
+    def done(self) -> bool:
+        """Return True if all tasks in this span tree are completed; False otherwise.
+
+        Notes
+        -----
+        This property may transition from True to False, e.g. when a new sub-span is
+        added or when a worker that contained the only replica of a task in memory
+        crashes and the task need to be recomputed.
+
+        See also
+        --------
+        distributed.scheduler.TaskGroup.done
+        """
+        return all(tg.done for tg in self.traverse_groups())
+
     @property
     def all_durations(self) -> defaultdict[str, float]:
         """Cumulative duration of all completed actions in this span tree, by action
@@ -205,72 +266,92 @@ def nbytes_total(self) -> int:
 class SpansExtension:
     """Scheduler extension for spans support"""
 
-    #: All Span objects by span_id
-    spans: dict[tuple[str, ...], Span]
+    #: All Span objects by id
+    spans: dict[str, Span]
 
-    #: Only the spans that don't have any parents {client_id: Span}.
+    #: Only the spans that don't have any parents, sorted by creation time.
     #: This is a convenience helper structure to speed up searches.
-    root_spans: dict[str, Span]
+    root_spans: list[Span]
 
-    #: All spans, keyed by the individual tags that make up their span_id.
+    #: All spans, keyed by their full name and sorted by creation time.
     #: This is a convenience helper structure to speed up searches.
-    spans_search_by_tag: defaultdict[str, set[Span]]
+    spans_search_by_name: defaultdict[tuple[str, ...], list[Span]]
+
+    #: All spans, keyed by the individual tags that make up their name and sorted by
+    #: creation time.
+    #: This is a convenience helper structure to speed up searches.
+    spans_search_by_tag: defaultdict[str, list[Span]]
 
     def __init__(self, scheduler: Scheduler):
         self.spans = {}
-        self.root_spans = {}
-        self.spans_search_by_tag = defaultdict(set)
+        self.root_spans = []
+        self.spans_search_by_name = defaultdict(list)
+        self.spans_search_by_tag = defaultdict(list)
 
-    def new_tasks(self, tss: Iterable[TaskState]) -> dict[str, tuple[str, ...]]:
+    def new_tasks(self, tss: Iterable[TaskState]) -> None:
         """Acknowledge the creation of new tasks on the scheduler.
         Attach tasks to either the desired span or to ("default", ).
-        Update TaskState.annotations["span"] and TaskGroup.span.
-
-        Returns
-        -------
-        {task key: span id}, only for tasks that explicitly define a span
+        Update TaskGroup.span_id and wipe TaskState.annotations["span"].
         """
-        out = {}
+        default_span = None
+
         for ts in tss:
             # You may have different tasks belonging to the same TaskGroup but to
             # different spans. If that happens, arbitrarily force everything onto the
             # span of the earliest encountered TaskGroup.
             tg = ts.group
-            if tg.span:
-                span_id = tg.span
-            else:
-                span_id = ts.annotations.get("span", ("default",))
-                assert isinstance(span_id, tuple)
-                tg.span = span_id
-                span = self._ensure_span(span_id)
+            if not tg.span_id:
+                ann = ts.annotations.get("span")
+                if ann:
+                    span = self._ensure_span(ann["name"], ann["ids"])
+                else:
+                    if not default_span:
+                        default_span = self._ensure_default_span()
+                    span = default_span
+
+                tg.span_id = span.id
                 span.groups.add(tg)
 
-            # Override ts.annotations["span"] with span_id from task group
-            if span_id == ("default",):
-                ts.annotations.pop("span", None)
-            else:
-                ts.annotations["span"] = out[ts.key] = span_id
-
-        return out
+            # The span may be completely different from the one referenced by the
+            # annotation, due to the TaskGroup collision issue explained above.
+            # Remove the annotation to avoid confusion, and instead rely on
+            # distributed.scheduler.TaskState.group.span_id and
+            # distributed.worker_state_machine.TaskState.span_id.
+            ts.annotations.pop("span", None)
+
+    def _ensure_default_span(self) -> Span:
+        """Return the currently active default span, or create one if the previous one
+        terminated. In other words, do not reuse the previous default span if all tasks
+        that were not explicitly annotated with :func:`spans` on the client side are
+        finished.
+        """
+        defaults = self.spans_search_by_name["default",]
+        if defaults and not defaults[-1].done:
+            return defaults[-1]
+        return self._ensure_span(("default",), (str(uuid.uuid4()),))
 
-    def _ensure_span(self, span_id: tuple[str, ...], enqueued: float = 0.0) -> Span:
+    def _ensure_span(self, name: tuple[str, ...], ids: tuple[str, ...]) -> Span:
         """Create Span if it doesn't exist and return it"""
         try:
-            return self.spans[span_id]
+            return self.spans[ids[-1]]
         except KeyError:
             pass
 
-        # When recursively creating parent spans, make sure that parents are not newer
-        # than the children
-        enqueued = enqueued or time()
+        assert len(name) == len(ids)
+        assert len(name) > 0
+
+        parent = None
+        for i in range(1, len(name)):
+            parent = self._ensure_span(name[:i], ids[:i])
 
-        span = self.spans[span_id] = Span(span_id, enqueued)
-        for tag in span_id:
-            self.spans_search_by_tag[tag].add(span)
-        if len(span_id) > 1:
-            parent = self._ensure_span(span_id[:-1], enqueued)
-            parent.children.add(span)
+        span = Span(name=name, id_=ids[-1], parent=parent)
+        self.spans[span.id] = span
+        self.spans_search_by_name[name].append(span)
+        for tag in name:
+            self.spans_search_by_tag[tag].append(span)
+        if parent:
+            parent.children.append(span)
         else:
-            self.root_spans[span_id[0]] = span
+            self.root_spans.append(span)
 
         return span