Added parameters for batch_size and insertion_delay (#15)

Added parameters for batch_size and sleep + changed default batch_size

custom-recipes/googlesheets-append/recipe.json

@@ -131,6 +131,24 @@
             "description": "",
             "type": "BOOLEAN",
             "defaultValue": false
+        },
+        {
+            "name": "batch_size",
+            "label": "Batch size",
+            "description": "Number of rows inserted in the dataframe at once. The bigger, the less API calls and the quickest pipeline, but putting too big a value could lead to out of memory errors, especially if there is a high number of columns.",
+            "type": "INT",
+            "visibilityCondition": "model.show_advanced_parameters==true",
+            "defaultValue": 200,
+            "minI": 1
+        },
+        {
+            "name": "insertion_delay",
+            "label": "Insertion delay (in ms)",
+            "description": "In milliseconds. Wait time between each API call to Google Sheets. If you are experiencing issues with API call limits, try increasing it to 10 or 20 ms, since there is a 60 write-per-minute limit on users (https://developers.google.com/sheets/api/limits). Warning: it will slow down your pipeline.",
+            "type": "INT",
+            "visibilityCondition": "model.show_advanced_parameters==true",
+            "defaultValue": 0,
+            "minI": 0
         }
     ],
 

custom-recipes/googlesheets-append/recipe.py

@@ -6,6 +6,7 @@
 from gspread.utils import rowcol_to_a1
 from safe_logger import SafeLogger
 from googlesheets_common import DSSConstants, extract_credentials, get_tab_ids
+from time import sleep
 from googlesheets_append import append_rows
 
 
@@ -40,6 +41,8 @@
 write_mode = config.get("write_mode", "append")
 session = GoogleSheetsSession(credentials, credentials_type)
 
+batch_size = config.get("batch_size", 200)
+insertion_delay = config.get("insertion_delay", 0)
 
 # Load worksheet
 worksheet = session.get_spreadsheet(doc_id, tab_id)
@@ -80,7 +83,9 @@ def serializer_dss(obj):
     # write to spreadsheet by batch
     batch.append([serializer(v) for k, v in list(row.items())])
 
-    if len(batch) >= 50:
+    if len(batch) >= batch_size:
+        if insertion_delay > 0:
+            sleep(0.01 * insertion_delay)
         worksheet.append_rows(batch, insert_format)
         batch = []