simple test DAG

airflow/dags/import_skg_if.py

@@ -88,6 +88,13 @@ def skg_if_pipeline():
             pool_maxsize=20
         )
 
+        client.cluster.put_settings(body={
+            "persistent": {
+                "cluster.routing.allocation.balance.prefer_primary": True,
+                "segrep.pressure.enabled": True
+            }
+        })
+
         for entity in ENTITIES:
             if client.indices.exists(entity):
                 client.indices.delete(entity)
@@ -99,12 +106,22 @@ def skg_if_pipeline():
                         "number_of_replicas": 0,
                         "refresh_interval": -1,
 
+                        "translog.flush_threshold_size": "2048MB",
+
                         "codec": "zstd_no_dict",
                         "replication.type": "SEGMENT"
                     }
 
                 },
-                "mappings": mappings[entity]
+                # "mappings": mappings[entity]
+                "mappings":{
+                    "dynamic": False,
+                    "properties": {
+                        "local_identifier": {
+                            "type": "keyword"
+                        }
+                    }
+                }
             })
 
     def compute_batches(ds=None, **kwargs):
@@ -122,7 +139,7 @@ def skg_if_pipeline():
 
         return list(split_list(pieces, len(pieces)//BULK_PARALLELISM))
 
-    @task
+    @task(execution_timeout=timedelta(days=3))
     def bulk_load(files: list[(str, str)]):
         client = OpenSearch(
             hosts=[{'host': OPENSEARCH_HOST, 'port': 9200}],