Refactor BatchLogRecordProcessor

Author: DylanRussell

opentelemetry-sdk/src/opentelemetry/sdk/_logs/_internal/export/__init__.py

@@ -21,8 +21,7 @@
 import sys
 import threading
 from os import environ, linesep
-from time import time_ns
-from typing import IO, Callable, Deque, List, Optional, Sequence
+from typing import IO, Callable, Deque, Optional, Sequence
 
 from opentelemetry.context import (
     _SUPPRESS_INSTRUMENTATION_KEY,
@@ -55,6 +54,12 @@ class LogExportResult(enum.Enum):
     FAILURE = 1
 
 
+class BatchLogExportStrategy(enum.Enum):
+    EXPORT_ALL = 0
+    EXPORT_WHILE_BATCH_EXCEEDS_THRESHOLD = 1
+    EXPORT_AT_LEAST_ONE_BATCH = 2
+
+
 class LogExporter(abc.ABC):
     """Interface for exporting logs.
 
@@ -140,14 +145,6 @@ def force_flush(self, timeout_millis: int = 30000) -> bool:  # pylint: disable=n
         return True
 
 
-class _FlushRequest:
-    __slots__ = ["event", "num_log_records"]
-
-    def __init__(self):
-        self.event = threading.Event()
-        self.num_log_records = 0
-
-
 _BSP_RESET_ONCE = Once()
 
 
@@ -166,8 +163,6 @@ class BatchLogRecordProcessor(LogRecordProcessor):
     """
 
     _queue: Deque[LogData]
-    _flush_request: _FlushRequest | None
-    _log_records: List[LogData | None]
 
     def __init__(
         self,
@@ -189,7 +184,7 @@ def __init__(
             max_export_batch_size = (
                 BatchLogRecordProcessor._default_max_export_batch_size()
             )
-
+        # Not used. No way currently to pass timeout to export.
         if export_timeout_millis is None:
             export_timeout_millis = (
                 BatchLogRecordProcessor._default_export_timeout_millis()
@@ -201,26 +196,43 @@ def __init__(
 
         self._exporter = exporter
         self._max_queue_size = max_queue_size
-        self._schedule_delay_millis = schedule_delay_millis
+        self._schedule_delay = schedule_delay_millis / 1e3
         self._max_export_batch_size = max_export_batch_size
+        # Not used. No way currently to pass timeout to export.
         self._export_timeout_millis = export_timeout_millis
+        # Deque is thread safe.
         self._queue = collections.deque([], max_queue_size)
         self._worker_thread = threading.Thread(
             name="OtelBatchLogRecordProcessor",
             target=self.worker,
             daemon=True,
         )
-        self._condition = threading.Condition(threading.Lock())
+
         self._shutdown = False
-        self._flush_request = None
-        self._log_records = [None] * self._max_export_batch_size
+        self._export_lock = threading.Lock()
+        self._worker_sleep = threading.Event()
         self._worker_thread.start()
         if hasattr(os, "register_at_fork"):
             os.register_at_fork(after_in_child=self._at_fork_reinit)  # pylint: disable=protected-access
         self._pid = os.getpid()
 
+    def _should_export_batch(
+        self, batch_strategy: BatchLogExportStrategy, num_iterations: int
+    ) -> bool:
+        if not self._queue:
+            return False
+        # Always continue to export while queue length exceeds max batch size.
+        if len(self._queue) >= self._max_export_batch_size:
+            return True
+        if batch_strategy == BatchLogExportStrategy.EXPORT_ALL:
+            return True
+        if batch_strategy == BatchLogExportStrategy.EXPORT_AT_LEAST_ONE_BATCH:
+            return num_iterations == 0
+        return False
+
     def _at_fork_reinit(self):
-        self._condition = threading.Condition(threading.Lock())
+        self._export_lock = threading.Lock()
+        self._worker_sleep = threading.Event()
         self._queue.clear()
         self._worker_thread = threading.Thread(
             name="OtelBatchLogRecordProcessor",
@@ -231,152 +243,75 @@ def _at_fork_reinit(self):
         self._pid = os.getpid()
 
     def worker(self):
-        timeout = self._schedule_delay_millis / 1e3
-        flush_request: Optional[_FlushRequest] = None
         while not self._shutdown:
-            with self._condition:
-                if self._shutdown:
-                    # shutdown may have been called, avoid further processing
-                    break
-                flush_request = self._get_and_unset_flush_request()
-                if (
-                    len(self._queue) < self._max_export_batch_size
-                    and flush_request is None
-                ):
-                    self._condition.wait(timeout)
-
-                    flush_request = self._get_and_unset_flush_request()
-                    if not self._queue:
-                        timeout = self._schedule_delay_millis / 1e3
-                        self._notify_flush_request_finished(flush_request)
-                        flush_request = None
-                        continue
-                    if self._shutdown:
-                        break
-
-            start_ns = time_ns()
-            self._export(flush_request)
-            end_ns = time_ns()
-            # subtract the duration of this export call to the next timeout
-            timeout = self._schedule_delay_millis / 1e3 - (
-                (end_ns - start_ns) / 1e9
-            )
-
-            self._notify_flush_request_finished(flush_request)
-            flush_request = None
-
-        # there might have been a new flush request while export was running
-        # and before the done flag switched to true
-        with self._condition:
-            shutdown_flush_request = self._get_and_unset_flush_request()
-
-        # flush the remaining logs
-        self._drain_queue()
-        self._notify_flush_request_finished(flush_request)
-        self._notify_flush_request_finished(shutdown_flush_request)
-
-    def _export(self, flush_request: Optional[_FlushRequest] = None):
-        """Exports logs considering the given flush_request.
-
-        If flush_request is not None then logs are exported in batches
-        until the number of exported logs reached or exceeded the num of logs in
-        flush_request, otherwise exports at max max_export_batch_size logs.
-        """
-        if flush_request is None:
-            self._export_batch()
-            return
-
-        num_log_records = flush_request.num_log_records
-        while self._queue:
-            exported = self._export_batch()
-            num_log_records -= exported
-
-            if num_log_records <= 0:
+            # Lots of strategies in the spec for setting next timeout.
+            # https://github.com/open-telemetry/opentelemetry-specification/blob/main/specification/trace/sdk.md#batching-processor.
+            # Shutdown will interrupt this sleep. Emit will interrupt this sleep only if the queue is bigger then threshold.
+            sleep_interrupted = self._worker_sleep.wait(self._schedule_delay)
+            if self._shutdown:
                 break
-
-    def _export_batch(self) -> int:
-        """Exports at most max_export_batch_size logs and returns the number of
-        exported logs.
-        """
-        idx = 0
-        while idx < self._max_export_batch_size and self._queue:
-            record = self._queue.pop()
-            self._log_records[idx] = record
-            idx += 1
-        token = attach(set_value(_SUPPRESS_INSTRUMENTATION_KEY, True))
-        try:
-            self._exporter.export(self._log_records[:idx])  # type: ignore
-        except Exception:  # pylint: disable=broad-exception-caught
-            _logger.exception("Exception while exporting logs.")
-        detach(token)
-
-        for index in range(idx):
-            self._log_records[index] = None
-        return idx
-
-    def _drain_queue(self):
-        """Export all elements until queue is empty.
-
-        Can only be called from the worker thread context because it invokes
-        `export` that is not thread safe.
-        """
-        while self._queue:
-            self._export_batch()
-
-    def _get_and_unset_flush_request(self) -> Optional[_FlushRequest]:
-        flush_request = self._flush_request
-        self._flush_request = None
-        if flush_request is not None:
-            flush_request.num_log_records = len(self._queue)
-        return flush_request
-
-    @staticmethod
-    def _notify_flush_request_finished(
-        flush_request: Optional[_FlushRequest] = None,
-    ):
-        if flush_request is not None:
-            flush_request.event.set()
-
-    def _get_or_create_flush_request(self) -> _FlushRequest:
-        if self._flush_request is None:
-            self._flush_request = _FlushRequest()
-        return self._flush_request
+            self._export(
+                BatchLogExportStrategy.EXPORT_WHILE_BATCH_EXCEEDS_THRESHOLD
+                if sleep_interrupted
+                else BatchLogExportStrategy.EXPORT_AT_LEAST_ONE_BATCH
+            )
+            self._worker_sleep.clear()
+        self._export(BatchLogExportStrategy.EXPORT_ALL)
+
+    def _export(self, batch_strategy: BatchLogExportStrategy) -> None:
+        with self._export_lock:
+            iteration = 0
+            # We could see concurrent export calls from worker and force_flush. We call _should_export_batch
+            # once the lock is obtained to see if we still need to make the requested export.
+            while self._should_export_batch(batch_strategy, iteration):
+                iteration += 1
+                token = attach(set_value(_SUPPRESS_INSTRUMENTATION_KEY, True))
+                try:
+                    self._exporter.export(
+                        [
+                            # Oldest records are at the back, so pop from there.
+                            self._queue.pop()
+                            for _ in range(
+                                min(
+                                    self._max_export_batch_size,
+                                    len(self._queue),
+                                )
+                            )
+                        ]
+                    )
+                except Exception:  # pylint: disable=broad-exception-caught
+                    _logger.exception("Exception while exporting logs.")
+                detach(token)
 
     def emit(self, log_data: LogData) -> None:
-        """Adds the `LogData` to queue and notifies the waiting threads
-        when size of queue reaches max_export_batch_size.
-        """
         if self._shutdown:
+            _logger.warning("Shutdown called, ignoring log.")
             return
         if self._pid != os.getpid():
             _BSP_RESET_ONCE.do_once(self._at_fork_reinit)
 
+        if len(self._queue) == self._max_queue_size:
+            _logger.warning("Queue full, dropping log.")
         self._queue.appendleft(log_data)
         if len(self._queue) >= self._max_export_batch_size:
-            with self._condition:
-                self._condition.notify()
+            self._worker_sleep.set()
 
     def shutdown(self):
+        if self._shutdown:
+            return
+        # Prevents emit and force_flush from further calling export.
         self._shutdown = True
-        with self._condition:
-            self._condition.notify_all()
+        # Interrupts sleep in the worker, if it's sleeping.
+        self._worker_sleep.set()
+        # Main worker loop should exit after one final export call with flush all strategy.
         self._worker_thread.join()
         self._exporter.shutdown()
 
     def force_flush(self, timeout_millis: Optional[int] = None) -> bool:
-        if timeout_millis is None:
-            timeout_millis = self._export_timeout_millis
         if self._shutdown:
-            return True
-
-        with self._condition:
-            flush_request = self._get_or_create_flush_request()
-            self._condition.notify_all()
-
-        ret = flush_request.event.wait(timeout_millis / 1e3)
-        if not ret:
-            _logger.warning("Timeout was exceeded in force_flush().")
-        return ret
+            return
+        # Blocking call to export.
+        self._export(BatchLogExportStrategy.EXPORT_ALL)
 
     @staticmethod
     def _default_max_queue_size():