avoid two query calls

Author: shuoweil

bigframes/display/anywidget.py

@@ -89,9 +89,10 @@ def __init__(self, dataframe: bigframes.dataframe.DataFrame):
         # Create pandas batches from the ExecuteResult
         self._batches = execute_result.to_pandas_batches(page_size=initial_page_size)
 
-        # Set page_size after _batches is available since traitlets observers
-        # may depend on _batches being initialized when the change trigger happens
-        self.page_size = initial_page_size
+        # Set page_size after _batches is available, but avoid triggering observers
+        # by setting the underlying traitlet value directly
+        self._trait_values["page_size"] = initial_page_size
+        self._trait_notifiers["page_size"] = {}  # Initialize notifiers if needed
 
         self._set_table_html()
 
@@ -168,11 +169,8 @@ def _get_next_batch(self) -> bool:
             batch = next(iterator)
             self._cached_batches.append(batch)
             return True
-        except StopIteration as e:
+        except StopIteration:
             self._all_data_loaded = True
-            if not isinstance(e, StopIteration):
-                # If we fail to get a batch, assume no more data is available.
-                self.row_count = 0
             return False
 
     @property

notebooks/dataframes/anywidget_mode.ipynb

@@ -130,19 +130,7 @@
     {
      "data": {
       "text/html": [
-       "Query job 3245c62b-5969-4b78-b1f2-4330592d3c65 is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:3245c62b-5969-4b78-b1f2-4330592d3c65&page=queryresults\">Open Job</a>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "Query job 1a5cec48-7128-4986-86a6-369a8f366974 is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:1a5cec48-7128-4986-86a6-369a8f366974&page=queryresults\">Open Job</a>"
+       "Query job 087c4276-8c26-467f-852b-c0d31848f666 is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:087c4276-8c26-467f-852b-c0d31848f666&page=queryresults\">Open Job</a>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -154,7 +142,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d59362abcff6445ea879b5f43e0ca9b3",
+       "model_id": "c2a4111b39c3462a8d0f4f2e4a01635b",
        "version_major": 2,
        "version_minor": 1
       },
@@ -198,19 +186,7 @@
     {
      "data": {
       "text/html": [
-       "Query job 356f561b-5017-413f-950b-2bc4c7798a24 is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:356f561b-5017-413f-950b-2bc4c7798a24&page=queryresults\">Open Job</a>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "Query job 72162728-56a3-47ce-bdb1-61b038cc2146 is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:72162728-56a3-47ce-bdb1-61b038cc2146&page=queryresults\">Open Job</a>"
+       "Query job 86d748cf-699c-407c-8eba-2d6421375aad is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:86d748cf-699c-407c-8eba-2d6421375aad&page=queryresults\">Open Job</a>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -229,7 +205,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8fac39e9b92e42d283883137f155526f",
+       "model_id": "401985bd2b3f40f3a2f7e48eeabb272d",
        "version_major": 2,
        "version_minor": 1
       },
@@ -317,19 +293,7 @@
     {
      "data": {
       "text/html": [
-       "Query job 77f0582b-b68c-46a7-bf25-463837a4ef3f is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:77f0582b-b68c-46a7-bf25-463837a4ef3f&page=queryresults\">Open Job</a>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "Query job ec2bcbc2-0f5a-45e9-affc-485183cb245e is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:ec2bcbc2-0f5a-45e9-affc-485183cb245e&page=queryresults\">Open Job</a>"
+       "Query job 2cb31c3a-ccbc-40fc-b548-ce8503fd2cc3 is DONE. 171.4 MB processed. <a target=\"_blank\" href=\"https://console.cloud.google.com/bigquery?project=bigframes-dev&j=bq:US:2cb31c3a-ccbc-40fc-b548-ce8503fd2cc3&page=queryresults\">Open Job</a>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -348,7 +312,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "fe6358fd83d6431198944e601ea00372",
+       "model_id": "9d2e3ced089a4cadbec9eb06d3724237",
        "version_major": 2,
        "version_minor": 1
       },