From 26dd4703abff292d2a5ecb5ac626cd84b2029356 Mon Sep 17 00:00:00 2001
From: Vinay Sharma <vinaysz@google.com>
Date: Tue, 21 Jul 2026 21:33:49 +0530
Subject: [PATCH 1/3] Minor fixes (PG17+ Call out and check)

---
 ...lerated_hnsw_vector_search_benchmark.ipynb | 442 +++++++++---------
 1 file changed, 234 insertions(+), 208 deletions(-)

diff --git a/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb b/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb
index 7d68652dcd..54056bf75c 100644
--- a/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb
+++ b/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb
@@ -36,10 +36,14 @@
         "\n",
         "🚨 **IMPORTANT PREREQUISITES:**\n",
         "\n",
-        "Ensure that **Public IP is enabled** on the instance *(Note: there is no need to authorize any networks!)* and the following database flags are set on your AlloyDB primary instance:\n",
-        "* `google_columnar_engine.enabled` = `on`\n",
-        "* `google_columnar_engine.enable_index_caching` = `on`\n",
-        "* `google_columnar_engine.memory_size_in_mb` = `1024` (or greater)\n",
+        "Before running this notebook, verify the following requirements:\n",
+        "Before running this notebook, verify the following requirements:\n",
+        "1. **PostgreSQL 17+**: Ensure you have an **AlloyDB for PostgreSQL 17 (or greater)** cluster created. (HNSW Columnar Engine caching is not supported on PG14/PG15).\n",
+        "2. **Public IP** is enabled on the instance (Note: there is no need to authorize any networks!).\n",
+        "3. The following **Database Flags** are configured on your AlloyDB primary instance:\n",
+        "   * `google_columnar_engine.enabled` = `on`\n",
+        "   * `google_columnar_engine.enable_index_caching` = `on`\n",
+        "   * `google_columnar_engine.memory_size_in_mb` = `1024` (or larger)\n",
         "\n",
         "📚 **Helpful Resources:**\n",
         "\n",
@@ -196,25 +200,34 @@
         "# 5. CORE FUNCTIONS\n",
         "# ==========================================\n",
         "async def verify_columnar_flags(conn):\n",
-        "    print_step(\"Step 2/9:\", \"🔍 Verifying Columnar Engine Flags...\")\n",
+        "    print_step(\"Step 2/9:\", \"🔍 Verifying PostgreSQL Version & Columnar Engine Flags...\")\n",
+        "\n",
+        "    # 1. Verify PostgreSQL Version (Requires PG17+)\n",
+        "    pg_version = await conn.fetchval(\"SHOW server_version_num;\")\n",
+        "    if not pg_version or int(pg_version) < 170000:\n",
+        "        actual_ver = await conn.fetchval(\"SHOW server_version;\")\n",
+        "        print_step(\"❌\", f\"PostgreSQL version is {actual_ver}. HNSW Columnar Engine caching is only supported on PostgreSQL 17 or higher.\", is_error=True)\n",
+        "        raise RuntimeError(\"Unsupported PostgreSQL Version.\")\n",
+        "\n",
+        "    # 2. Fetch Columnar Engine GUC Settings\n",
         "    enabled = await conn.fetchval(\"SELECT current_setting('google_columnar_engine.enabled', true);\")\n",
         "    caching = await conn.fetchval(\"SELECT current_setting('google_columnar_engine.enable_index_caching', true);\")\n",
         "    mem_size = await conn.fetchval(\"SELECT current_setting('google_columnar_engine.memory_size_in_mb', true);\")\n",
         "\n",
         "    warnings = []\n",
-        "    if enabled != 'on': warnings.append(\"google_columnar_engine.enabled is NOT 'on'\")\n",
-        "    if caching != 'on': warnings.append(\"google_columnar_engine.enable_index_caching is NOT 'on'\")\n",
-        "    try:\n",
-        "        if not mem_size or int(mem_size) < 1024:\n",
-        "            warnings.append(f\"memory_size_in_mb is '{mem_size}' (Must be at least 1024)\")\n",
-        "    except ValueError:\n",
-        "        warnings.append(f\"Could not parse memory_size_in_mb: {mem_size}\")\n",
+        "    if enabled != 'on':\n",
+        "        warnings.append(\"google_columnar_engine.enabled is NOT 'on'\")\n",
+        "    if caching != 'on':\n",
+        "        warnings.append(\"google_columnar_engine.enable_index_caching is NOT 'on'\")\n",
+        "    if not mem_size or int(mem_size) < 1024:\n",
+        "        warnings.append(f\"memory_size_in_mb is '{mem_size}' (Must be at least 1024)\")\n",
         "\n",
         "    if warnings:\n",
-        "        for w in warnings: print_step(\"❌\", w, is_error=True)\n",
+        "        for w in warnings:\n",
+        "            print_step(\"❌\", w, is_error=True)\n",
         "        raise RuntimeError(\"Missing required Database Flags. Please update your cluster settings and restart.\")\n",
         "    else:\n",
-        "        print_step(\"✅\", \"All strict Columnar Engine flags are properly configured!\", is_success=True)\n",
+        "        print_step(\"✅\", \"PostgreSQL version and Columnar Engine flags are properly configured!\", is_success=True)\n",
         "\n",
         "async def fast_bulk_insert_train(conn, data_array, batch_size=10000, desc=\"\"):\n",
         "    for i in tqdm(range(0, len(data_array), batch_size), desc=desc, leave=True, colour='#1f77b4'):\n",
@@ -462,73 +475,73 @@
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         },
         "id": "KOs-ppVTCKTu",
         "jupyter": {
           "source_hidden": true
         },
-        "outputId": "b69164f4-b34a-4f99-80a9-a6cc55d8c75c",
+        "outputId": "3109c1bc-b61a-4cb9-ba4d-292cf13328c6",
         "tags": [
           "hide-input"
         ]
       },
-      "execution_count": 16,
+      "execution_count": 1,
       "outputs": [
         {
           "output_type": "stream",
@@ -597,7 +610,7 @@
               "\n",
               "        <div style=\"font-size: 17px; margin-top: 10px; margin-bottom: 4px;\">\n",
               "            <span style=\"color: var(--colab-anchor-color); font-weight: bold;\">Step 2/9:</span>\n",
-              "            <span style=\"color: var(--colab-primary-text-color);\">🔍 Verifying Columnar Engine Flags...</span>\n",
+              "            <span style=\"color: var(--colab-primary-text-color);\">🔍 Verifying PostgreSQL Version & Columnar Engine Flags...</span>\n",
               "        </div>\n",
               "        "
             ]
@@ -613,7 +626,7 @@
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               "\n",
               "        <div style=\"font-size: 17px; margin-top: 10px; margin-bottom: 4px; font-weight: bold; color: #34A853;\">\n",
-              "            ✅ All strict Columnar Engine flags are properly configured!\n",
+              "            ✅ PostgreSQL version and Columnar Engine flags are properly configured!\n",
               "        </div>\n",
               "        "
             ]
@@ -654,6 +667,19 @@
           },
           "metadata": {}
         },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "         \u001b[2mDownloading dataset \u001b[0m\u001b[1;2m(\u001b[0m\u001b[1;2;36m1.\u001b[0m\u001b[2m2GB\u001b[0m\u001b[1;2m)\u001b[0m\u001b[2m from ann-benchmarks.com\u001b[0m\u001b[2;33m...\u001b[0m\n"
+            ],
+            "text/html": [
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">         <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">Downloading dataset </span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f; font-weight: bold\">(</span><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf; font-weight: bold\">1.</span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">2GB</span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f; font-weight: bold\">)</span><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\"> from ann-benchmarks.com</span><span style=\"color: #bfbf7f; text-decoration-color: #bfbf7f\">...</span>\n",
+              "</pre>\n"
+            ]
+          },
+          "metadata": {}
+        },
         {
           "output_type": "display_data",
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@@ -680,7 +706,7 @@
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-              "model_id": "0da395d70cb146c38f09018780eab6c4"
+              "model_id": "432349805c034a9d8387761723cf4d98"
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@@ -694,7 +720,7 @@
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-              "model_id": "4117803bb28041b6b4c2c8d8229a78ef"
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@@ -742,7 +768,7 @@
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-              "model_id": "cdff0ae603804c9299dbda81cfb0f304"
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@@ -790,7 +816,7 @@
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+              "model_id": "83f4ec83f64e4f6ab2df423576dc8380"
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@@ -799,10 +825,10 @@
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-              "\u001b[2;36m[14:06:41]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m40\u001b[0m | qps: \u001b[1;36m873\u001b[0m | recall: \u001b[1;36m0.798\u001b[0m                                                      \u001b]8;id=135743;file:///tmp/ipykernel_18168/4108069014.py\u001b\\\u001b[2m4108069014.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=149133;file:///tmp/ipykernel_18168/4108069014.py#257\u001b\\\u001b[2m257\u001b[0m\u001b]8;;\u001b\\\n"
+              "\u001b[2;36m[15:59:36]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m40\u001b[0m | qps: \u001b[1;36m880\u001b[0m | recall: \u001b[1;36m0.794\u001b[0m                                                       \u001b]8;id=551085;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=601337;file:///tmp/ipykernel_618/300156691.py#266\u001b\\\u001b[2m266\u001b[0m\u001b]8;;\u001b\\\n"
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-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:06:41] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">873</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.798</span>                                                      <a href=\"file:///tmp/ipykernel_18168/4108069014.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4108069014.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_18168/4108069014.py#257\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">257</span></a>\n",
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[15:59:36] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">880</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.794</span>                                                       <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#266\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">266</span></a>\n",
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@@ -812,10 +838,10 @@
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+              "\u001b[2;36m[15:59:41]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m100\u001b[0m | qps: \u001b[1;36m430\u001b[0m | recall: \u001b[1;36m0.879\u001b[0m                                                      \u001b]8;id=831761;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=441919;file:///tmp/ipykernel_618/300156691.py#266\u001b\\\u001b[2m266\u001b[0m\u001b]8;;\u001b\\\n"
             ],
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-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:06:46] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">427</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.879</span>                                                     <a href=\"file:///tmp/ipykernel_18168/4108069014.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4108069014.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_18168/4108069014.py#257\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">257</span></a>\n",
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[15:59:41] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">430</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.879</span>                                                      <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#266\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">266</span></a>\n",
               "</pre>\n"
             ]
           },
@@ -825,10 +851,10 @@
           "output_type": "display_data",
           "data": {
             "text/plain": [
-              "\u001b[2;36m[14:06:55]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m200\u001b[0m | qps: \u001b[1;36m237\u001b[0m | recall: \u001b[1;36m0.925\u001b[0m                                                     \u001b]8;id=284452;file:///tmp/ipykernel_18168/4108069014.py\u001b\\\u001b[2m4108069014.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=869595;file:///tmp/ipykernel_18168/4108069014.py#257\u001b\\\u001b[2m257\u001b[0m\u001b]8;;\u001b\\\n"
+              "\u001b[2;36m[15:59:49]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m200\u001b[0m | qps: \u001b[1;36m240\u001b[0m | recall: \u001b[1;36m0.923\u001b[0m                                                      \u001b]8;id=86592;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=69064;file:///tmp/ipykernel_618/300156691.py#266\u001b\\\u001b[2m266\u001b[0m\u001b]8;;\u001b\\\n"
             ],
             "text/html": [
-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:06:55] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">237</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.925</span>                                                     <a href=\"file:///tmp/ipykernel_18168/4108069014.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4108069014.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_18168/4108069014.py#257\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">257</span></a>\n",
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[15:59:49] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">240</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.923</span>                                                      <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#266\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">266</span></a>\n",
               "</pre>\n"
             ]
           },
@@ -838,10 +864,10 @@
           "output_type": "display_data",
           "data": {
             "text/plain": [
-              "\u001b[2;36m[14:07:10]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m400\u001b[0m | qps: \u001b[1;36m131\u001b[0m | recall: \u001b[1;36m0.957\u001b[0m                                                     \u001b]8;id=411750;file:///tmp/ipykernel_18168/4108069014.py\u001b\\\u001b[2m4108069014.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=47384;file:///tmp/ipykernel_18168/4108069014.py#257\u001b\\\u001b[2m257\u001b[0m\u001b]8;;\u001b\\\n"
+              "\u001b[2;36m[16:00:05]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m400\u001b[0m | qps: \u001b[1;36m131\u001b[0m | recall: \u001b[1;36m0.957\u001b[0m                                                      \u001b]8;id=694220;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=664071;file:///tmp/ipykernel_618/300156691.py#266\u001b\\\u001b[2m266\u001b[0m\u001b]8;;\u001b\\\n"
             ],
             "text/html": [
-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:07:10] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">400</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">131</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.957</span>                                                     <a href=\"file:///tmp/ipykernel_18168/4108069014.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4108069014.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_18168/4108069014.py#257\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">257</span></a>\n",
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:00:05] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">400</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">131</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.957</span>                                                      <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#266\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">266</span></a>\n",
               "</pre>\n"
             ]
           },
@@ -851,10 +877,10 @@
           "output_type": "display_data",
           "data": {
             "text/plain": [
-              "\u001b[2;36m[14:07:39]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m800\u001b[0m | qps: \u001b[1;36m70\u001b[0m | recall: \u001b[1;36m0.979\u001b[0m                                                      \u001b]8;id=510606;file:///tmp/ipykernel_18168/4108069014.py\u001b\\\u001b[2m4108069014.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=637801;file:///tmp/ipykernel_18168/4108069014.py#257\u001b\\\u001b[2m257\u001b[0m\u001b]8;;\u001b\\\n"
+              "\u001b[2;36m[16:00:33]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m800\u001b[0m | qps: \u001b[1;36m71\u001b[0m | recall: \u001b[1;36m0.979\u001b[0m                                                       \u001b]8;id=976122;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=29520;file:///tmp/ipykernel_618/300156691.py#266\u001b\\\u001b[2m266\u001b[0m\u001b]8;;\u001b\\\n"
             ],
             "text/html": [
-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:07:39] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">70</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.979</span>                                                      <a href=\"file:///tmp/ipykernel_18168/4108069014.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4108069014.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_18168/4108069014.py#257\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">257</span></a>\n",
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:00:33] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">71</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.979</span>                                                       <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#266\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">266</span></a>\n",
               "</pre>\n"
             ]
           },
@@ -869,7 +895,7 @@
             "application/vnd.jupyter.widget-view+json": {
               "version_major": 2,
               "version_minor": 0,
-              "model_id": "d171813e30a746aea799629227857f3d"
+              "model_id": "350e3d35ca9649f4b69d7567f84c14c6"
             }
           },
           "metadata": {}
@@ -878,10 +904,10 @@
           "output_type": "display_data",
           "data": {
             "text/plain": [
-              "\u001b[2;36m[14:07:42]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m40\u001b[0m | qps: \u001b[1;36m6955\u001b[0m | recall: \u001b[1;36m0.798\u001b[0m                                                     \u001b]8;id=753795;file:///tmp/ipykernel_18168/4108069014.py\u001b\\\u001b[2m4108069014.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=335995;file:///tmp/ipykernel_18168/4108069014.py#265\u001b\\\u001b[2m265\u001b[0m\u001b]8;;\u001b\\\n"
+              "\u001b[2;36m[16:00:37]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m40\u001b[0m | qps: \u001b[1;36m6914\u001b[0m | recall: \u001b[1;36m0.794\u001b[0m                                                      \u001b]8;id=885005;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=750935;file:///tmp/ipykernel_618/300156691.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
             ],
             "text/html": [
-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:07:42] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6955</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.798</span>                                                     <a href=\"file:///tmp/ipykernel_18168/4108069014.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4108069014.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_18168/4108069014.py#265\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">265</span></a>\n",
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:00:37] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">40</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6914</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.794</span>                                                      <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#274\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">274</span></a>\n",
               "</pre>\n"
             ]
           },
@@ -891,10 +917,10 @@
           "output_type": "display_data",
           "data": {
             "text/plain": [
-              "\u001b[2;36m[14:07:43]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m100\u001b[0m | qps: \u001b[1;36m3428\u001b[0m | recall: \u001b[1;36m0.879\u001b[0m                                                    \u001b]8;id=331385;file:///tmp/ipykernel_18168/4108069014.py\u001b\\\u001b[2m4108069014.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=133287;file:///tmp/ipykernel_18168/4108069014.py#265\u001b\\\u001b[2m265\u001b[0m\u001b]8;;\u001b\\\n"
+              "\u001b[2;36m          \u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m100\u001b[0m | qps: \u001b[1;36m3427\u001b[0m | recall: \u001b[1;36m0.879\u001b[0m                                                     \u001b]8;id=138631;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=994064;file:///tmp/ipykernel_618/300156691.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
             ],
             "text/html": [
-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:07:43] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3428</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.879</span>                                                    <a href=\"file:///tmp/ipykernel_18168/4108069014.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4108069014.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_18168/4108069014.py#265\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">265</span></a>\n",
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">100</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3427</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.879</span>                                                     <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#274\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">274</span></a>\n",
               "</pre>\n"
             ]
           },
@@ -904,10 +930,10 @@
           "output_type": "display_data",
           "data": {
             "text/plain": [
-              "\u001b[2;36m[14:07:44]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m200\u001b[0m | qps: \u001b[1;36m1898\u001b[0m | recall: \u001b[1;36m0.925\u001b[0m                                                    \u001b]8;id=927485;file:///tmp/ipykernel_18168/4108069014.py\u001b\\\u001b[2m4108069014.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=361016;file:///tmp/ipykernel_18168/4108069014.py#265\u001b\\\u001b[2m265\u001b[0m\u001b]8;;\u001b\\\n"
+              "\u001b[2;36m[16:00:39]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m200\u001b[0m | qps: \u001b[1;36m1891\u001b[0m | recall: \u001b[1;36m0.923\u001b[0m                                                     \u001b]8;id=1464;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=53611;file:///tmp/ipykernel_618/300156691.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
             ],
             "text/html": [
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+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:00:39] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">200</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1891</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.923</span>                                                     <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#274\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">274</span></a>\n",
               "</pre>\n"
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           },
@@ -917,10 +943,10 @@
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-              "\u001b[2;36m[14:07:46]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m400\u001b[0m | qps: \u001b[1;36m1017\u001b[0m | recall: \u001b[1;36m0.957\u001b[0m                                                    \u001b]8;id=98581;file:///tmp/ipykernel_18168/4108069014.py\u001b\\\u001b[2m4108069014.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=755385;file:///tmp/ipykernel_18168/4108069014.py#265\u001b\\\u001b[2m265\u001b[0m\u001b]8;;\u001b\\\n"
+              "\u001b[2;36m[16:00:41]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m400\u001b[0m | qps: \u001b[1;36m1015\u001b[0m | recall: \u001b[1;36m0.957\u001b[0m                                                     \u001b]8;id=90936;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=124803;file:///tmp/ipykernel_618/300156691.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
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+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:00:41] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">400</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1015</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.957</span>                                                     <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#274\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">274</span></a>\n",
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@@ -930,10 +956,10 @@
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-              "\u001b[2;36m[14:07:50]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m800\u001b[0m | qps: \u001b[1;36m518\u001b[0m | recall: \u001b[1;36m0.979\u001b[0m                                                     \u001b]8;id=51911;file:///tmp/ipykernel_18168/4108069014.py\u001b\\\u001b[2m4108069014.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=535498;file:///tmp/ipykernel_18168/4108069014.py#265\u001b\\\u001b[2m265\u001b[0m\u001b]8;;\u001b\\\n"
+              "\u001b[2;36m[16:00:45]\u001b[0m\u001b[2;36m \u001b[0mef: \u001b[1;36m800\u001b[0m | qps: \u001b[1;36m520\u001b[0m | recall: \u001b[1;36m0.979\u001b[0m                                                      \u001b]8;id=350436;file:///tmp/ipykernel_618/300156691.py\u001b\\\u001b[2m300156691.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=417242;file:///tmp/ipykernel_618/300156691.py#274\u001b\\\u001b[2m274\u001b[0m\u001b]8;;\u001b\\\n"
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-              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[14:07:50] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">518</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.979</span>                                                     <a href=\"file:///tmp/ipykernel_18168/4108069014.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">4108069014.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_18168/4108069014.py#265\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">265</span></a>\n",
+              "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[16:00:45] </span>ef: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">800</span> | qps: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">520</span> | recall: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.979</span>                                                      <a href=\"file:///tmp/ipykernel_618/300156691.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">300156691.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///tmp/ipykernel_618/300156691.py#274\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">274</span></a>\n",
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@@ -961,7 +987,7 @@
             "text/plain": [
               "<Figure size 1200x700 with 1 Axes>"
             ],
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\n"
+            "image/png": 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\n"
           },
           "metadata": {}
         }
@@ -984,7 +1010,7 @@
         "version_major": 2,
         "version_minor": 0,
         "state": {
-          "0da395d70cb146c38f09018780eab6c4": {
+          "432349805c034a9d8387761723cf4d98": {
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@@ -2389,13 +2415,13 @@
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-              "layout": "IPY_MODEL_a63f899cad1446c88ba0ab5f03c3c5de",
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               "value": "WITH Columnar Engine: 100%"
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From bbf2174a801719fc9d546a50261505151727f5d8 Mon Sep 17 00:00:00 2001
From: Vinay Sharma <vinaysz@google.com>
Date: Tue, 21 Jul 2026 21:36:25 +0530
Subject: [PATCH 2/3] Update
 columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb

---
 ...olumnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb | 1 -
 1 file changed, 1 deletion(-)

diff --git a/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb b/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb
index 54056bf75c..0e41cfa5f6 100644
--- a/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb
+++ b/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb
@@ -37,7 +37,6 @@
         "🚨 **IMPORTANT PREREQUISITES:**\n",
         "\n",
         "Before running this notebook, verify the following requirements:\n",
-        "Before running this notebook, verify the following requirements:\n",
         "1. **PostgreSQL 17+**: Ensure you have an **AlloyDB for PostgreSQL 17 (or greater)** cluster created. (HNSW Columnar Engine caching is not supported on PG14/PG15).\n",
         "2. **Public IP** is enabled on the instance (Note: there is no need to authorize any networks!).\n",
         "3. The following **Database Flags** are configured on your AlloyDB primary instance:\n",

From d6b96fa299bda3275f2a823f07246dce5f6e1c91 Mon Sep 17 00:00:00 2001
From: Vinay Sharma <vinaysz@google.com>
Date: Tue, 21 Jul 2026 21:44:44 +0530
Subject: [PATCH 3/3] Update
 columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb

---
 ...lumnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb b/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb
index 0e41cfa5f6..bdd937816f 100644
--- a/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb
+++ b/alloydb/notebooks/columnar_engine_accelerated_hnsw_vector_search_benchmark.ipynb
@@ -37,7 +37,7 @@
         "🚨 **IMPORTANT PREREQUISITES:**\n",
         "\n",
         "Before running this notebook, verify the following requirements:\n",
-        "1. **PostgreSQL 17+**: Ensure you have an **AlloyDB for PostgreSQL 17 (or greater)** cluster created. (HNSW Columnar Engine caching is not supported on PG14/PG15).\n",
+        "1. **PostgreSQL 17+**: Ensure you have an **AlloyDB for PostgreSQL 17 (or greater)** cluster created. (HNSW Columnar Engine caching is not supported on PG14/PG15/PG16).\n",
         "2. **Public IP** is enabled on the instance (Note: there is no need to authorize any networks!).\n",
         "3. The following **Database Flags** are configured on your AlloyDB primary instance:\n",
         "   * `google_columnar_engine.enabled` = `on`\n",