fix: limit number of steps in batch

src/neptune_scale/core/components/aggregating_queue.py

@@ -21,6 +21,7 @@
 from neptune_scale.parameters import (
     BATCH_WAIT_TIME_SECONDS,
     MAX_BATCH_SIZE,
+    MAX_BATCH_SNAPSHOT_SIZE,
     MAX_QUEUE_ELEMENT_SIZE,
 )
 
@@ -33,10 +34,12 @@ def __init__(
         max_queue_size: int,
         max_elements_in_batch: int = MAX_BATCH_SIZE,
         max_queue_element_size: int = MAX_QUEUE_ELEMENT_SIZE,
+        max_snapshots_in_batch: int = MAX_BATCH_SNAPSHOT_SIZE,
         wait_time: float = BATCH_WAIT_TIME_SECONDS,
     ) -> None:
         self._max_queue_size = max_queue_size
         self._max_elements_in_batch = max_elements_in_batch
+        self._max_snapshots_in_batch = max_snapshots_in_batch
         self._max_queue_element_size = max_queue_element_size
         self._wait_time = wait_time
 
@@ -110,6 +113,10 @@ def get(self) -> BatchedOperations:
                     logger.debug("Batch closed due to size limit %s", batch_bytes + element.metadata_size)
                     break
 
+                if batch_operations and len(batch_operations) >= self._max_snapshots_in_batch:
+                    logger.debug("Batch closed due to limit of snapshots in batch %s", len(batch_operations))
+                    break
+
                 new_operation = RunOperation()
                 new_operation.ParseFromString(element.operation)
                 if element.batch_key != last_batch_key:

src/neptune_scale/core/components/queue_element.py

@@ -11,7 +11,7 @@ class BatchedOperations(NamedTuple):
     sequence_id: int
     # Timestamp of the last operation in the batch
     timestamp: float
-    # Protobuf serialized (RunOperationBatch)
+    # Protobuf serialized (RunOperation)
     operation: bytes
 
 

src/neptune_scale/parameters.py

@@ -5,6 +5,7 @@
 # Operations queue
 MAX_BATCH_SIZE = 100000
 MAX_QUEUE_SIZE = 1000000
+MAX_BATCH_SNAPSHOT_SIZE = 2000
 MAX_MULTIPROCESSING_QUEUE_SIZE = 32767
 MAX_QUEUE_ELEMENT_SIZE = 1024 * 1024  # 1MB
 # Wait up to this many seconds for incoming operations before submitting a batch

tests/unit/test_aggregating_queue.py

@@ -218,6 +218,45 @@ def test__queue_element_size_limit_with_different_steps():
     assert queue.get() == BatchedOperations(sequence_id=2, timestamp=element2.timestamp, operation=element2.operation)
 
 
+def test__batch_snapshot_limit():
+    # given
+    update1 = UpdateRunSnapshot(step=Step(whole=1), assign={f"aa{i}": Value(int64=(i * 97)) for i in range(2)})
+    update2 = UpdateRunSnapshot(step=Step(whole=2), assign={f"bb{i}": Value(int64=(i * 25)) for i in range(2)})
+
+    # and
+    operation1 = RunOperation(update=update1, project="project", run_id="run_id")
+    operation2 = RunOperation(update=update2, project="project", run_id="run_id")
+
+    # and
+    element1 = SingleOperation(
+        sequence_id=1,
+        timestamp=time.process_time(),
+        operation=operation1.SerializeToString(),
+        is_batchable=True,
+        metadata_size=update1.ByteSize(),
+        batch_key=1.0,
+    )
+    element2 = SingleOperation(
+        sequence_id=2,
+        timestamp=time.process_time(),
+        operation=operation2.SerializeToString(),
+        is_batchable=True,
+        metadata_size=update2.ByteSize(),
+        batch_key=2.0,
+    )
+
+    # and
+    queue = AggregatingQueue(max_queue_size=2, max_elements_in_batch=2, max_snapshots_in_batch=1)
+
+    # when
+    queue.put_nowait(element=element1)
+    queue.put_nowait(element=element2)
+
+    # then
+    assert queue.get() == BatchedOperations(sequence_id=1, timestamp=element1.timestamp, operation=element1.operation)
+    assert queue.get() == BatchedOperations(sequence_id=2, timestamp=element2.timestamp, operation=element2.operation)
+
+
 @freeze_time("2024-09-01")
 def test__not_merge_two_run_creation():
     # given