chore(profiling): fix race condition when generating upload files seque…

ddtrace/internal/datadog/profiling/dd_wrapper/include/uploader.hpp

@@ -22,6 +22,7 @@ class Uploader
     static inline ddog_CancellationToken cancel{ .inner = nullptr };
     static inline std::atomic<uint64_t> upload_seq{ 0 };
     std::string output_filename;
+    uint64_t instance_upload_seq;  // Captured sequence number for this instance
     ddog_prof_ProfileExporter ddog_exporter{ .inner = nullptr };
 
     bool export_to_file(ddog_prof_EncodedProfile* encoded);

ddtrace/internal/datadog/profiling/dd_wrapper/src/uploader.cpp

@@ -17,9 +17,11 @@ Datadog::Uploader::Uploader(std::string_view _output_filename, ddog_prof_Profile
   : output_filename{ _output_filename }
   , ddog_exporter{ _ddog_exporter }
 {
-    // Increment the upload sequence number every time we build an uploader.
-    // Upoloaders are use-once-and-destroy.
-    upload_seq++;
+    // Atomically increment and capture the upload sequence number for this instance.
+    // This prevents race conditions where multiple threads creating Uploaders concurrently
+    // could result in duplicate sequence numbers in filenames.
+    // Uploaders are use-once-and-destroy.
+    instance_upload_seq = ++upload_seq;
 }
 
 bool
@@ -28,6 +30,7 @@ Datadog::Uploader::export_to_file(ddog_prof_EncodedProfile* encoded)
     // Write the profile to a file using the following format for filename:
     // <output_filename>.<process_id>.<sequence_number>
     std::ostringstream oss;
+    // oss << output_filename << "." << getpid() << "." << instance_upload_seq;
     oss << output_filename << "." << getpid() << "." << upload_seq;
     std::string filename = oss.str();
     std::ofstream out(filename, std::ios::binary);

tests/profiling_v2/exporter/test_ddup.py

@@ -62,3 +62,116 @@ def test_tags_propagated():
     # Profiler could add tags, so check that tags is a superset of config.tags
     for k, v in config.tags.items():
         assert tags[k] == v
+
+
+@pytest.mark.skipif(not ddup.is_available, reason="ddup not available")
+def test_concurrent_upload_sequence_numbers(tmp_path):
+    """Test that concurrent uploads produce unique, sequential file sequence numbers.
+
+    This is a regression test for a race condition in the C++ Uploader class where
+    multiple threads creating Uploader objects concurrently could result in files
+    with duplicate or non-sequential sequence numbers.
+
+    The bug occurred because:
+    1. Thread A creates Uploader -> upload_seq becomes 1
+    2. Thread B creates Uploader -> upload_seq becomes 2
+    3. Thread B exports file -> uses current upload_seq value (2)
+    4. Thread A exports file -> uses current upload_seq value (2, not 1!)
+
+    This resulted in duplicate sequence numbers or missing sequences.
+
+    The fix captures the sequence number atomically in the Uploader constructor
+    (instance_upload_seq = ++upload_seq) so each instance has its own unique number.
+    """
+    import glob
+    import os
+    import threading
+    import time
+
+    from ddtrace.profiling.collector.threading import ThreadingLockCollector
+
+    test_name = "test_concurrent_upload"
+    pprof_prefix = str(tmp_path / test_name)
+    output_filename = pprof_prefix + "." + str(os.getpid())
+
+    # Configure ddup
+    ddup.config(
+        env="test",
+        service=test_name,
+        version="test_version",
+        output_filename=pprof_prefix,
+    )
+    ddup.start()
+
+    num_threads = 10
+    num_uploads_per_thread = 5
+    barrier = threading.Barrier(num_threads)  # Synchronize thread start for maximum contention
+
+    def upload_worker():
+        """Each thread collects samples and uploads multiple times."""
+        # Wait for all threads to be ready
+        barrier.wait()
+
+        for _ in range(num_uploads_per_thread):
+            # Collect some samples (using lock collector to generate profile data)
+            with ThreadingLockCollector(capture_pct=100):
+                lock = threading.Lock()
+                with lock:
+                    time.sleep(0.001)  # Small amount of work
+
+            # Upload immediately to create race condition
+            ddup.upload()
+
+    # Start threads
+    threads = []
+    for _ in range(num_threads):
+        t = threading.Thread(target=upload_worker)
+        threads.append(t)
+        t.start()
+
+    # Wait for all threads to complete
+    for t in threads:
+        t.join()
+
+    # Analyze the created files
+    files = glob.glob(output_filename + ".*")
+
+    # Extract sequence numbers from filenames
+    # Format: <prefix>.<pid>.<seq>
+    sequence_numbers = []
+    for f in files:
+        seq = int(f.rsplit(".", 1)[-1])
+        sequence_numbers.append(seq)
+
+    sequence_numbers.sort()
+
+    print(f"\nCreated {len(files)} files")
+    print(f"Sequence numbers: {sequence_numbers}")
+
+    # Check for issues
+    expected_count = num_threads * num_uploads_per_thread
+
+    # Issue 1: Missing files (duplicates overwrite each other)
+    assert len(files) == expected_count, (
+        f"Expected {expected_count} files, but found {len(files)}. "
+        f"This suggests duplicate sequence numbers caused file overwrites!"
+    )
+
+    # Issue 2: Duplicate sequence numbers
+    assert len(sequence_numbers) == len(
+        set(sequence_numbers)
+    ), f"Duplicate sequence numbers found! Sequences: {sequence_numbers}"
+
+    # Issue 3: Gaps in sequence numbers
+    # Sequences should be continuous (no gaps)
+    for i in range(len(sequence_numbers) - 1):
+        assert (
+            sequence_numbers[i + 1] == sequence_numbers[i] + 1
+        ), f"Gap in sequence numbers: {sequence_numbers[i]} -> {sequence_numbers[i + 1]}"
+
+    # Cleanup
+    for f in files:
+        try:
+            os.remove(f)
+        except Exception as e:
+            print(f"Error removing file {f}: {e}")