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authorMuriithi Frederick Muriuki2018-04-16 17:25:14 +0300
committerMuriithi Frederick Muriuki2018-04-16 17:25:14 +0300
commitbc1672f8617c56684ae3aeda7018362e818c46d6 (patch)
tree4215e0f9b82511edeb3dacde01a3f28de07e7a9f
parentfdd28defcaf3326f3c6b6507124708d83a1da119 (diff)
downloadgenenetwork2-bc1672f8617c56684ae3aeda7018362e818c46d6.tar.gz
Update mappings for Elasticsearch 6.2. Update logger
* Update the indexes mappings to be compatible with the newer
  Elasticsearch 6.2.* series.
  Close the index before updating it, and reopen it after to help with
  the re-indexing of the data.

* Update the error logger to include the exception that was thrown.
-rw-r--r--wqflask/utility/elasticsearch_tools.py9
1 files changed, 5 insertions, 4 deletions
diff --git a/wqflask/utility/elasticsearch_tools.py b/wqflask/utility/elasticsearch_tools.py
index 7d2ee8c9..0dc59d43 100644
--- a/wqflask/utility/elasticsearch_tools.py
+++ b/wqflask/utility/elasticsearch_tools.py
@@ -29,8 +29,8 @@ def get_elasticsearch_connection():
         es_logger = logging.getLogger("elasticsearch")
         es_logger.setLevel(logging.INFO)
         es_logger.addHandler(logging.NullHandler())
-    except:
-        logger.error("Failed to get elasticsearch connection")
+    except Exception as e:
+        logger.error("Failed to get elasticsearch connection", e)
         es = None
 
     return es
@@ -40,11 +40,12 @@ def setup_users_index(es_connection):
         index_settings = {
             "properties": {
                 "email_address": {
-                    "type": "string"
-                    , "index": "not_analyzed"}}}
+                    "type": "keyword"}}}
 
         es_connection.indices.create(index='users', ignore=400)
+        es_connection.indices.close(index="users")
         es_connection.indices.put_mapping(body=index_settings, index="users", doc_type="local")
+        es_connection.indices.open(index="users")
 
 def get_user_by_unique_column(es, column_name, column_value, index="users", doc_type="local"):
     return get_item_by_unique_column(es, column_name, column_value, index=index, doc_type=doc_type)