Process delayed alert conditions in batches of 10,000

src/sentry/buffer/base.py

@@ -34,6 +34,7 @@ class Buffer(Service):
         "push_to_hash",
         "get_sorted_set",
         "get_hash",
+        "get_hash_length",
         "delete_hash",
         "delete_key",
     )
@@ -54,6 +55,11 @@ def get_hash(
     ) -> dict[str, str]:
         return {}
 
+    def get_hash_length(
+        self, model: type[models.Model], field: dict[str, models.Model | str | int]
+    ) -> int:
+        raise NotImplementedError
+
     def get_sorted_set(self, key: str, min: float, max: float) -> list[tuple[int, datetime]]:
         return []
 
@@ -69,6 +75,14 @@ def push_to_hash(
     ) -> None:
         return None
 
+    def push_to_hash_bulk(
+        self,
+        model: type[models.Model],
+        filters: dict[str, models.Model | str | int],
+        data: dict[str, str],
+    ) -> None:
+        raise NotImplementedError
+
     def delete_hash(
         self,
         model: type[models.Model],

src/sentry/buffer/redis.py

@@ -86,8 +86,10 @@ class RedisOperation(Enum):
     SORTED_SET_GET_RANGE = "zrangebyscore"
     SORTED_SET_DELETE_RANGE = "zremrangebyscore"
     HASH_ADD = "hset"
+    HASH_ADD_BULK = "hmset"
     HASH_GET_ALL = "hgetall"
     HASH_DELETE = "hdel"
+    HASH_LENGTH = "hlen"
 
 
 class PendingBuffer:
@@ -296,6 +298,15 @@ def push_to_hash(
         key = self._make_key(model, filters)
         self._execute_redis_operation(key, RedisOperation.HASH_ADD, field, value)
 
+    def push_to_hash_bulk(
+        self,
+        model: type[models.Model],
+        filters: dict[str, models.Model | str | int],
+        data: dict[str, str],
+    ) -> None:
+        key = self._make_key(model, filters)
+        self._execute_redis_operation(key, RedisOperation.HASH_ADD_BULK, data)
+
     def get_hash(
         self, model: type[models.Model], field: dict[str, models.Model | str | int]
     ) -> dict[str, str]:
@@ -311,6 +322,12 @@ def get_hash(
 
         return decoded_hash
 
+    def get_hash_length(
+        self, model: type[models.Model], field: dict[str, models.Model | str | int]
+    ) -> int:
+        key = self._make_key(model, field)
+        return self._execute_redis_operation(key, RedisOperation.HASH_LENGTH)
+
     def process_batch(self) -> None:
         try:
             redis_buffer_registry.callback(BufferHookEvent.FLUSH)

src/sentry/rules/processing/delayed_processing.py

@@ -4,13 +4,15 @@
 from collections import defaultdict
 from collections.abc import Sequence
 from datetime import datetime, timedelta, timezone
+from itertools import islice
 from typing import Any, DefaultDict, NamedTuple
 
 import sentry_sdk
 from django.db.models import OuterRef, Subquery
 
 from sentry import buffer, nodestore
 from sentry.buffer.redis import BufferHookEvent, redis_buffer_registry
+from sentry.db import models
 from sentry.eventstore.models import Event, GroupEvent
 from sentry.issues.issue_occurrence import IssueOccurrence
 from sentry.models.group import Group
@@ -45,6 +47,7 @@
 logger = logging.getLogger("sentry.rules.delayed_processing")
 EVENT_LIMIT = 100
 COMPARISON_INTERVALS_VALUES = {k: v[1] for k, v in COMPARISON_INTERVALS.items()}
+CHUNK_BATCH_SIZE = 10000
 
 
 class UniqueConditionQuery(NamedTuple):
@@ -85,8 +88,15 @@ def fetch_project(project_id: int) -> Project | None:
         return None
 
 
-def fetch_rulegroup_to_event_data(project_id: int) -> dict[str, str]:
-    return buffer.backend.get_hash(model=Project, field={"project_id": project_id})
+def fetch_rulegroup_to_event_data(project_id: int, batch_key: str | None = None) -> dict[str, str]:
+    field: dict[str, models.Model | int | str] = {
+        "project_id": project_id,
+    }
+
+    if batch_key:
+        field["batch_key"] = batch_key
+
+    return buffer.backend.get_hash(model=Project, field=field)
 
 
 def get_rules_to_groups(rulegroup_to_event_data: dict[str, str]) -> DefaultDict[int, set[int]]:
@@ -463,6 +473,53 @@ def bucket_num_groups(num_groups: int) -> str:
     return "1"
 
 
+def process_rulegroups_in_batches(project_id: int, batch_size=CHUNK_BATCH_SIZE):
+    """
+    This will check the number of rulegroup_to_event_data items in the Redis buffer for a project.
+
+    If the number is larger than the batch size, it will chunk the items and process them in batches.
+
+    The batches are replicated into a new redis hash with a unique filter (a uuid) to identify the batch.
+    We need to use a UUID because these batches can be created in multiple processes and we need to ensure
+    uniqueness across all of them for the centralized redis buffer. The batches are stored in redis because
+    we shouldn't pass complex objects in the celery task arguments, and we can't send a page of data in the
+    batch becaues redis may not maintain the sort of the hash response.
+
+    `apply_delayed` will fetch the batch from redis and process the rules.
+    """
+    event_count = buffer.backend.get_hash_length(Project, {"project_id": project_id})
+
+    if event_count < batch_size:
+        return apply_delayed.delayed(project_id)
+
+    logger.info(
+        "delayed_processing.process_large_batch",
+        extra={"project_id": project_id, "count": event_count},
+    )
+
+    # if the dictionary is large, get the items and chunk them.
+    rulegroup_to_event_data = fetch_rulegroup_to_event_data(project_id)
+
+    with metrics.timer("delayed_processing.process_batch.duration"):
+        items = iter(rulegroup_to_event_data.items())
+
+        while batch := dict(islice(items, batch_size)):
+            batch_key = str(uuid.uuid4())
+
+            buffer.backend.push_to_hash_bulk(
+                model=Project,
+                filters={"project_id": project_id, "batch_key": batch_key},
+                data=batch,
+            )
+
+            # remove the batched items from the project rulegroup_to_event_data
+            buffer.backend.delete_hash(
+                model=Project, filters={"project_id": project_id}, fields=list(batch.keys())
+            )
+
+            apply_delayed.delayed(project_id, batch_key)
+
+
 def process_delayed_alert_conditions() -> None:
     with metrics.timer("delayed_processing.process_all_conditions.duration"):
         fetch_time = datetime.now(tz=timezone.utc)
@@ -473,7 +530,7 @@ def process_delayed_alert_conditions() -> None:
         logger.info("delayed_processing.project_id_list", extra={"project_ids": log_str})
 
         for project_id, _ in project_ids:
-            apply_delayed.delay(project_id)
+            process_rulegroups_in_batches(project_id)
 
         buffer.backend.delete_key(PROJECT_ID_BUFFER_LIST_KEY, min=0, max=fetch_time.timestamp())
 
@@ -487,32 +544,15 @@ def process_delayed_alert_conditions() -> None:
     time_limit=60,
     silo_mode=SiloMode.REGION,
 )
-def apply_delayed(project_id: int, *args: Any, **kwargs: Any) -> None:
+def apply_delayed(project_id: int, batch_key: str | None = None, *args: Any, **kwargs: Any) -> None:
     """
     Grab rules, groups, and events from the Redis buffer, evaluate the "slow" conditions in a bulk snuba query, and fire them if they pass
     """
     project = fetch_project(project_id)
     if not project:
-        # Should we remove the project_id from the redis queue?
-        return
-
-    rulegroup_to_event_data = fetch_rulegroup_to_event_data(project_id)
-    num_groups = len(rulegroup_to_event_data)
-    num_groups_bucketed = bucket_num_groups(num_groups)
-    metrics.incr("delayed_processing.num_groups", tags={"num_groups": num_groups_bucketed})
-
-    if num_groups >= 10000:
-        logger.error(
-            "delayed_processing.too_many_groups",
-            extra={
-                "project_id": project_id,
-                "num_groups": num_groups,
-                "organization_id": project.organization_id,
-            },
-        )
-        # TODO @saponifi3d - Split the processing from here into smaller groups
         return
 
+    rulegroup_to_event_data = fetch_rulegroup_to_event_data(project_id, batch_key)
     rules_to_groups = get_rules_to_groups(rulegroup_to_event_data)
     alert_rules = fetch_alert_rules(list(rules_to_groups.keys()))
     condition_groups = get_condition_query_groups(alert_rules, rules_to_groups)

tests/sentry/buffer/test_base.py

@@ -2,6 +2,7 @@
 from unittest import mock
 
 from django.utils import timezone
+from pytest import raises
 
 from sentry.buffer.base import Buffer
 from sentry.db import models
@@ -77,3 +78,9 @@ def test_signal_only(self, create_or_update):
         self.buf.process(Group, columns, filters, {"last_seen": the_date}, signal_only=True)
         group.refresh_from_db()
         assert group.times_seen == prev_times_seen
+
+    def test_push_to_hash_bulk(self):
+        raises(NotImplementedError, self.buf.push_to_hash_bulk, Group, {"id": 1}, {"foo": "bar"})
+
+    def test_get_hash_length(self):
+        raises(NotImplementedError, self.buf.get_hash_length, Group, {"id": 1})

tests/sentry/buffer/test_redis.py

@@ -1,6 +1,7 @@
 import datetime
 import pickle
 from collections import defaultdict
+from collections.abc import Mapping
 from unittest import mock
 from unittest.mock import Mock
 
@@ -367,6 +368,36 @@ def test_process_uses_signal_only(self, process):
         self.buf.process("foo")
         process.assert_called_once_with(mock.Mock, {"times_seen": 1}, {"pk": 1}, {}, True)
 
+    @mock.patch("sentry.buffer.redis.RedisBuffer._make_key", mock.Mock(return_value="foo"))
+    def test_get_hash_length(self):
+        client = get_cluster_routing_client(self.buf.cluster, self.buf.is_redis_cluster)
+        data: Mapping[str | bytes, bytes | float | int | str] = {
+            "f": '{"pk": ["i","1"]}',
+            "i+times_seen": "1",
+            "m": "unittest.mock.Mock",
+            "s": "1",
+        }
+
+        client.hmset("foo", data)
+        buffer_length = self.buf.get_hash_length("foo", field={"bar": 1})
+        assert buffer_length == len(data)
+
+    @mock.patch("sentry.buffer.redis.RedisBuffer._make_key", mock.Mock(return_value="foo"))
+    def test_push_to_hash_bulk(self):
+        def decode_dict(d):
+            return {k: v.decode("utf-8") if isinstance(v, bytes) else v for k, v in d.items()}
+
+        client = get_cluster_routing_client(self.buf.cluster, self.buf.is_redis_cluster)
+        data = {
+            "f": '{"pk": ["i","1"]}',
+            "i+times_seen": "1",
+            "m": "unittest.mock.Mock",
+            "s": "1",
+        }
+        self.buf.push_to_hash_bulk(model=Project, filters={"project_id": 1}, data=data)
+        result = _hgetall_decode_keys(client, "foo", self.buf.is_redis_cluster)
+        assert decode_dict(result) == data
+
 
 #    @mock.patch("sentry.buffer.redis.RedisBuffer._make_key", mock.Mock(return_value="foo"))
 #    def test_incr_uses_signal_only(self):