Merge branch 'master' into parallelize-smoke-test

metadata-ingestion/src/datahub/ingestion/source/gc/datahub_gc.py

@@ -34,6 +34,7 @@
     SoftDeletedEntitiesCleanupConfig,
     SoftDeletedEntitiesReport,
 )
+from datahub.ingestion.source_report.ingestion_stage import IngestionStageReport
 
 logger = logging.getLogger(__name__)
 
@@ -86,6 +87,7 @@ class DataHubGcSourceReport(
     DataProcessCleanupReport,
     SoftDeletedEntitiesReport,
     DatahubExecutionRequestCleanupReport,
+    IngestionStageReport,
 ):
     expired_tokens_revoked: int = 0
 
@@ -139,31 +141,40 @@ def get_workunits_internal(
     ) -> Iterable[MetadataWorkUnit]:
         if self.config.cleanup_expired_tokens:
             try:
+                self.report.report_ingestion_stage_start("Expired Token Cleanup")
                 self.revoke_expired_tokens()
             except Exception as e:
                 self.report.failure("While trying to cleanup expired token ", exc=e)
         if self.config.truncate_indices:
             try:
+                self.report.report_ingestion_stage_start("Truncate Indices")
                 self.truncate_indices()
             except Exception as e:
                 self.report.failure("While trying to truncate indices ", exc=e)
         if self.config.soft_deleted_entities_cleanup.enabled:
             try:
+                self.report.report_ingestion_stage_start(
+                    "Soft Deleted Entities Cleanup"
+                )
                 self.soft_deleted_entities_cleanup.cleanup_soft_deleted_entities()
             except Exception as e:
                 self.report.failure(
                     "While trying to cleanup soft deleted entities ", exc=e
                 )
-        if self.config.execution_request_cleanup.enabled:
-            try:
-                self.execution_request_cleanup.run()
-            except Exception as e:
-                self.report.failure("While trying to cleanup execution request ", exc=e)
         if self.config.dataprocess_cleanup.enabled:
             try:
+                self.report.report_ingestion_stage_start("Data Process Cleanup")
                 yield from self.dataprocess_cleanup.get_workunits_internal()
             except Exception as e:
                 self.report.failure("While trying to cleanup data process ", exc=e)
+        if self.config.execution_request_cleanup.enabled:
+            try:
+                self.report.report_ingestion_stage_start("Execution request Cleanup")
+                self.execution_request_cleanup.run()
+            except Exception as e:
+                self.report.failure("While trying to cleanup execution request ", exc=e)
+        # Otherwise last stage's duration does not get calculated.
+        self.report.report_ingestion_stage_start("End")
         yield from []
 
     def truncate_indices(self) -> None:
@@ -281,6 +292,8 @@ def revoke_expired_tokens(self) -> None:
             list_access_tokens = expired_tokens_res.get("listAccessTokens", {})
             tokens = list_access_tokens.get("tokens", [])
             total = list_access_tokens.get("total", 0)
+            if tokens == []:
+                break
             for token in tokens:
                 self.report.expired_tokens_revoked += 1
                 token_id = token["id"]

metadata-ingestion/src/datahub/ingestion/source/gc/execution_request_cleanup.py

@@ -1,3 +1,4 @@
+import datetime
 import logging
 import time
 from typing import Any, Dict, Iterator, Optional
@@ -42,16 +43,28 @@ class DatahubExecutionRequestCleanupConfig(ConfigModel):
         description="Global switch for this cleanup task",
     )
 
+    runtime_limit_seconds: int = Field(
+        default=3600,
+        description="Maximum runtime in seconds for the cleanup task",
+    )
+
+    max_read_errors: int = Field(
+        default=10,
+        description="Maximum number of read errors before aborting",
+    )
+
     def keep_history_max_milliseconds(self):
         return self.keep_history_max_days * 24 * 3600 * 1000
 
 
 class DatahubExecutionRequestCleanupReport(SourceReport):
-    execution_request_cleanup_records_read: int = 0
-    execution_request_cleanup_records_preserved: int = 0
-    execution_request_cleanup_records_deleted: int = 0
-    execution_request_cleanup_read_errors: int = 0
-    execution_request_cleanup_delete_errors: int = 0
+    ergc_records_read: int = 0
+    ergc_records_preserved: int = 0
+    ergc_records_deleted: int = 0
+    ergc_read_errors: int = 0
+    ergc_delete_errors: int = 0
+    ergc_start_time: Optional[datetime.datetime] = None
+    ergc_end_time: Optional[datetime.datetime] = None
 
 
 class CleanupRecord(BaseModel):
@@ -124,6 +137,13 @@ def _scroll_execution_requests(
         params.update(overrides)
 
         while True:
+            if self._reached_runtime_limit():
+                break
+            if self.report.ergc_read_errors >= self.config.max_read_errors:
+                self.report.failure(
+                    f"ergc({self.instance_id}): too many read errors, aborting."
+                )
+                break
             try:
                 url = f"{self.graph.config.server}/openapi/v2/entity/{DATAHUB_EXECUTION_REQUEST_ENTITY_NAME}"
                 response = self.graph._session.get(url, headers=headers, params=params)
@@ -141,7 +161,7 @@ def _scroll_execution_requests(
                 logger.error(
                     f"ergc({self.instance_id}): failed to fetch next batch of execution requests: {e}"
                 )
-                self.report.execution_request_cleanup_read_errors += 1
+                self.report.ergc_read_errors += 1
 
     def _scroll_garbage_records(self):
         state: Dict[str, Dict] = {}
@@ -150,7 +170,7 @@ def _scroll_garbage_records(self):
         running_guard_timeout = now_ms - 30 * 24 * 3600 * 1000
 
         for entry in self._scroll_execution_requests():
-            self.report.execution_request_cleanup_records_read += 1
+            self.report.ergc_records_read += 1
             key = entry.ingestion_source
 
             # Always delete corrupted records
@@ -171,15 +191,15 @@ def _scroll_garbage_records(self):
 
             # Do not delete if number of requests is below minimum
             if state[key]["count"] < self.config.keep_history_min_count:
-                self.report.execution_request_cleanup_records_preserved += 1
+                self.report.ergc_records_preserved += 1
                 continue
 
             # Do not delete if number of requests do not exceed allowed maximum,
             # or the cutoff date.
             if (state[key]["count"] < self.config.keep_history_max_count) and (
                 entry.requested_at > state[key]["cutoffTimestamp"]
             ):
-                self.report.execution_request_cleanup_records_preserved += 1
+                self.report.ergc_records_preserved += 1
                 continue
 
             # Do not delete if status is RUNNING or PENDING and created within last month. If the record is >month old and it did not
@@ -188,7 +208,7 @@ def _scroll_garbage_records(self):
                 "RUNNING",
                 "PENDING",
             ]:
-                self.report.execution_request_cleanup_records_preserved += 1
+                self.report.ergc_records_preserved += 1
                 continue
 
             # Otherwise delete current record
@@ -200,7 +220,7 @@ def _scroll_garbage_records(self):
                     f"record timestamp: {entry.requested_at}."
                 )
             )
-            self.report.execution_request_cleanup_records_deleted += 1
+            self.report.ergc_records_deleted += 1
             yield entry
 
     def _delete_entry(self, entry: CleanupRecord) -> None:
@@ -210,17 +230,31 @@ def _delete_entry(self, entry: CleanupRecord) -> None:
             )
             self.graph.delete_entity(entry.urn, True)
         except Exception as e:
-            self.report.execution_request_cleanup_delete_errors += 1
+            self.report.ergc_delete_errors += 1
             logger.error(
                 f"ergc({self.instance_id}): failed to delete ExecutionRequest {entry.request_id}: {e}"
             )
 
+    def _reached_runtime_limit(self) -> bool:
+        if (
+            self.config.runtime_limit_seconds
+            and self.report.ergc_start_time
+            and (
+                datetime.datetime.now() - self.report.ergc_start_time
+                >= datetime.timedelta(seconds=self.config.runtime_limit_seconds)
+            )
+        ):
+            logger.info(f"ergc({self.instance_id}): max runtime reached.")
+            return True
+        return False
+
     def run(self) -> None:
         if not self.config.enabled:
             logger.info(
                 f"ergc({self.instance_id}): ExecutionRequest cleaner is disabled."
             )
             return
+        self.report.ergc_start_time = datetime.datetime.now()
 
         logger.info(
             (
@@ -232,8 +266,11 @@ def run(self) -> None:
         )
 
         for entry in self._scroll_garbage_records():
+            if self._reached_runtime_limit():
+                break
             self._delete_entry(entry)
 
+        self.report.ergc_end_time = datetime.datetime.now()
         logger.info(
             f"ergc({self.instance_id}): Finished cleanup of ExecutionRequest records."
         )

metadata-ingestion/src/datahub/ingestion/source_report/ingestion_stage.py

@@ -42,4 +42,5 @@ def report_ingestion_stage_start(self, stage: str) -> None:
             self._timer = PerfTimer()
 
         self.ingestion_stage = f"{stage} at {datetime.now(timezone.utc)}"
+        logger.info(f"Stage started: {self.ingestion_stage}")
         self._timer.start()