benchmark/dremio_v24_0_0_tpc_ds_benchmark.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "# Install dependencies.\n",
        "!pip install pywaffle "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HpFc0r6oDLu5",
        "outputId": "18e914ac-c39b-467f-caf8-56a846a6f26b"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting pywaffle\n",
            "  Downloading pywaffle-1.1.0-py2.py3-none-any.whl (30 kB)\n",
            "Collecting fontawesomefree\n",
            "  Downloading fontawesomefree-6.4.0-py3-none-any.whl (25.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m25.2/25.2 MB\u001b[0m \u001b[31m34.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: matplotlib in /usr/local/lib/python3.9/dist-packages (from pywaffle) (3.7.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib->pywaffle) (4.39.3)\n",
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            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib->pywaffle) (1.4.4)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib->pywaffle) (23.0)\n",
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            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib->pywaffle) (3.0.9)\n",
            "Requirement already satisfied: importlib-resources>=3.2.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib->pywaffle) (5.12.0)\n",
            "Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.9/dist-packages (from matplotlib->pywaffle) (1.22.4)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.9/dist-packages (from matplotlib->pywaffle) (2.8.2)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.9/dist-packages (from matplotlib->pywaffle) (0.11.0)\n",
            "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.9/dist-packages (from importlib-resources>=3.2.0->matplotlib->pywaffle) (3.15.0)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/dist-packages (from python-dateutil>=2.7->matplotlib->pywaffle) (1.16.0)\n",
            "Installing collected packages: fontawesomefree, pywaffle\n",
            "Successfully installed fontawesomefree-6.4.0 pywaffle-1.1.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "0RxYngfEJzMW"
      },
      "outputs": [],
      "source": [
        "'''\n",
        "This is a performance comparison between cold queries (without cache)\n",
        "and warm queries (with cache) based on the Apache JMeter benchmark results.\n",
        "\n",
        "The TPC-DS benchmark data for Dremio was generated according to this guide:\n",
        "https://www.dremio.com/blog/dremio-benchmarking-methodology\n",
        "\n",
        "Benchmark result files could be loaded from the project repo:\n",
        "https://github.com/aabouzaid/modern-data-platform-poc/tree/main/benchmark\n",
        "'''\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "from io import StringIO as sio\n",
        "from matplotlib.offsetbox import AnchoredText as obat\n",
        "from pywaffle import Waffle\n",
        "\n",
        "dataset_size = '10g'\n",
        "dremio_version = '24.0.0'\n",
        "plot_main_title = f'TPC-DS queries benchmark for Dremio v{dremio_version} - Dataset {dataset_size}'"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# --------------- #\n",
        "# Load\n",
        "# --------------- #\n",
        "\n",
        "# Inline data to make it self-contained Jupyter Notebook.\n",
        "df_cold_csv = '''\n",
        "timeStamp,elapsed,label,responseCode,responseMessage,threadName,dataType,success,failureMessage,bytes,sentBytes,grpThreads,allThreads,URL,Latency,IdleTime,Connect\n",
        "1678673745869,11001,q96,200,OK,Single Thread Group 1-1,text,true,,12,0,1,1,null,10999,0,985\n",
        "1678673756871,15380,q7,200,OK,Single Thread Group 1-1,text,true,,4741,0,1,1,null,15373,0,0\n",
        "1678673772253,4378,q19,200,OK,Single Thread Group 1-1,text,true,,5370,0,1,1,null,4374,0,0\n",
        "1678673776630,6992,q25,200,OK,Single Thread Group 1-1,text,true,,437,0,1,1,null,6991,0,0\n",
        "1678673783622,17084,q78,200,OK,Single Thread Group 1-1,text,true,,3806,0,1,1,null,17067,0,0\n",
        "1678673800707,3777,q1,200,OK,Single Thread Group 1-1,text,true,,1714,0,1,1,null,3775,0,0\n",
        "1678673804486,2554,q91,200,OK,Single Thread Group 1-1,text,true,,1276,0,1,1,null,2553,0,0\n",
        "1678673807040,2477,q43,200,OK,Single Thread Group 1-1,text,true,,2548,0,1,1,null,2469,0,0\n",
        "1678673809517,2204,q45,200,OK,Single Thread Group 1-1,text,true,,777,0,1,1,null,2203,0,0\n",
        "1678673811721,4021,q33,200,OK,Single Thread Group 1-1,text,true,,1665,0,1,1,null,4021,0,0\n",
        "1678673815743,3896,q46,200,OK,Single Thread Group 1-1,text,true,,5125,0,1,1,null,3892,0,0\n",
        "1678673819639,2697,q62,200,OK,Single Thread Group 1-1,text,true,,4793,0,1,1,null,2696,0,1\n",
        "1678673825186,3334,q63,200,OK,Single Thread Group 1-1,text,true,,3714,0,1,1,null,3316,0,0\n",
        "1678673830259,3335,q60,200,OK,Single Thread Group 1-1,text,true,,2970,0,1,1,null,3335,0,0\n",
        "1678673834790,3614,q85,200,OK,Single Thread Group 1-1,text,true,,433,0,1,1,null,3614,0,0\n",
        "1678673838405,7138,q28,200,OK,Single Thread Group 1-1,text,true,,310,0,1,1,null,7137,0,0\n",
        "1678673845543,2402,q81,200,OK,Single Thread Group 1-1,text,true,,13200,0,1,1,null,2373,0,0\n",
        "1678673847945,4252,q97,200,OK,Single Thread Group 1-1,text,true,,62,0,1,1,null,4252,0,0\n",
        "1678673852198,3694,q17,200,OK,Single Thread Group 1-1,text,true,,1146,0,1,1,null,3685,0,0\n",
        "1678673857934,1841,q3,200,OK,Single Thread Group 1-1,text,true,,4490,0,1,1,null,1841,0,0\n",
        "1678673864382,7494,q49,200,OK,Single Thread Group 1-1,text,true,,1629,0,1,1,null,7479,0,0\n",
        "1678673871876,7842,q9,200,OK,Single Thread Group 1-1,text,true,,131,0,1,1,null,7801,0,0\n",
        "1678673879720,4782,q31,200,OK,Single Thread Group 1-1,text,true,,26417,0,1,1,null,4773,0,0\n",
        "1678673884504,11324,q11,200,OK,Single Thread Group 1-1,text,true,,5787,0,1,1,null,11323,0,0\n",
        "1678673895827,5084,q93,200,OK,Single Thread Group 1-1,text,true,,965,0,1,1,null,5083,0,0\n",
        "1678673900912,4714,q29,200,OK,Single Thread Group 1-1,text,true,,534,0,1,1,null,4706,0,0\n",
        "1678673905627,2782,q89,200,OK,Single Thread Group 1-1,text,true,,8541,0,1,1,null,2780,0,0\n",
        "1678673908410,1133,q15,200,OK,Single Thread Group 1-1,text,true,,2099,0,1,1,null,1133,0,0\n",
        "1678673909543,1126,q52,200,OK,Single Thread Group 1-1,text,true,,4429,0,1,1,null,1125,0,0\n",
        "1678673910671,3149,q50,200,OK,Single Thread Group 1-1,text,true,,4524,0,1,1,null,3148,0,0\n",
        "1678673913822,1458,q42,200,OK,Single Thread Group 1-1,text,true,,369,0,1,1,null,1457,0,0\n",
        "1678673915280,6143,q88,200,OK,Single Thread Group 1-1,text,true,,147,0,1,1,null,6142,0,0\n",
        "1678673923365,3511,q71,200,OK,Single Thread Group 1-1,text,true,,372568,0,1,1,null,3286,0,0\n",
        "1678673926875,2565,q34,200,OK,Single Thread Group 1-1,text,true,,36509,0,1,1,null,2564,0,0\n",
        "1678673929440,1485,q30,200,OK,Single Thread Group 1-1,text,true,,10340,0,1,1,null,1474,0,0\n",
        "1678673930925,1838,q73,200,OK,Single Thread Group 1-1,text,true,,408,0,1,1,null,1830,0,0\n",
        "1678673932763,1149,q84,200,OK,Single Thread Group 1-1,text,true,,3236,0,1,1,null,1149,0,0\n",
        "1678673933913,1025,q55,200,OK,Single Thread Group 1-1,text,true,,3977,0,1,1,null,1024,0,0\n",
        "1678673934938,2723,q56,200,OK,Single Thread Group 1-1,text,true,,2367,0,1,1,null,2723,0,0\n",
        "1678673938725,3090,q26,200,OK,Single Thread Group 1-1,text,true,,4153,0,1,1,null,3074,0,0\n",
        "1678673941816,2496,q53,200,OK,Single Thread Group 1-1,text,true,,2650,0,1,1,null,2495,0,0\n",
        "1678673944312,2301,q79,200,OK,Single Thread Group 1-1,text,true,,4235,0,1,1,null,2301,0,0\n",
        "1678673946614,15477,q4,200,OK,Single Thread Group 1-1,text,true,,6005,0,1,1,null,15427,0,0\n",
        "1678673962092,4346,q99,200,OK,Single Thread Group 1-1,text,true,,487,0,1,1,null,4345,0,0\n",
        "1678673966438,3627,q68,200,OK,Single Thread Group 1-1,text,true,,7223,0,1,1,null,3625,0,0\n",
        "1678673971396,3582,q76,200,OK,Single Thread Group 1-1,text,true,,6090,0,1,1,null,3581,0,0\n",
        "'''\n",
        "\n",
        "df_warm_csv = '''\n",
        "timeStamp,elapsed,label,responseCode,responseMessage,threadName,dataType,success,failureMessage,bytes,sentBytes,grpThreads,allThreads,URL,Latency,IdleTime,Connect\n",
        "1678673976972,1865,q96,200,OK,Single Thread Group 1-1,text,true,,12,0,1,1,null,1863,0,864\n",
        "1678673978839,5996,q7,200,OK,Single Thread Group 1-1,text,true,,4741,0,1,1,null,5987,0,0\n",
        "1678673984834,2544,q19,200,OK,Single Thread Group 1-1,text,true,,5370,0,1,1,null,2536,0,0\n",
        "1678673987379,2753,q25,200,OK,Single Thread Group 1-1,text,true,,437,0,1,1,null,2753,0,0\n",
        "1678673990132,7632,q78,200,OK,Single Thread Group 1-1,text,true,,3806,0,1,1,null,7567,0,0\n",
        "1678673997765,1850,q1,200,OK,Single Thread Group 1-1,text,true,,1714,0,1,1,null,1837,0,0\n",
        "1678673999615,808,q91,200,OK,Single Thread Group 1-1,text,true,,1276,0,1,1,null,807,0,0\n",
        "1678674000425,1534,q43,200,OK,Single Thread Group 1-1,text,true,,2548,0,1,1,null,1533,0,0\n",
        "1678674001959,714,q45,200,OK,Single Thread Group 1-1,text,true,,777,0,1,1,null,713,0,0\n",
        "1678674002674,2229,q33,200,OK,Single Thread Group 1-1,text,true,,1663,0,1,1,null,2228,0,0\n",
        "1678674004903,3256,q46,200,OK,Single Thread Group 1-1,text,true,,5125,0,1,1,null,3253,0,0\n",
        "1678674008161,1533,q62,200,OK,Single Thread Group 1-1,text,true,,4793,0,1,1,null,1531,0,0\n",
        "1678674010118,3135,q63,200,OK,Single Thread Group 1-1,text,true,,3714,0,1,1,null,3134,0,0\n",
        "1678674013682,2048,q60,200,OK,Single Thread Group 1-1,text,true,,2961,0,1,1,null,2048,0,1\n",
        "1678674015911,1460,q85,200,OK,Single Thread Group 1-1,text,true,,433,0,1,1,null,1460,0,0\n",
        "1678674017372,5377,q28,200,OK,Single Thread Group 1-1,text,true,,311,0,1,1,null,5367,0,0\n",
        "1678674022748,1012,q81,200,OK,Single Thread Group 1-1,text,true,,13200,0,1,1,null,1009,0,0\n",
        "1678674023760,3131,q97,200,OK,Single Thread Group 1-1,text,true,,62,0,1,1,null,3130,0,0\n",
        "1678674026891,3203,q17,200,OK,Single Thread Group 1-1,text,true,,1146,0,1,1,null,3192,0,0\n",
        "1678674030475,1641,q3,200,OK,Single Thread Group 1-1,text,true,,4537,0,1,1,null,1640,0,0\n",
        "1678674034368,4921,q49,200,OK,Single Thread Group 1-1,text,true,,1629,0,1,1,null,4918,0,0\n",
        "1678674039289,6141,q9,200,OK,Single Thread Group 1-1,text,true,,131,0,1,1,null,6140,0,0\n",
        "1678674045431,3352,q31,200,OK,Single Thread Group 1-1,text,true,,26425,0,1,1,null,3349,0,0\n",
        "1678674048783,8449,q11,200,OK,Single Thread Group 1-1,text,true,,5787,0,1,1,null,8423,0,0\n",
        "1678674057231,4272,q93,200,OK,Single Thread Group 1-1,text,true,,965,0,1,1,null,4271,0,0\n",
        "1678674061504,3284,q29,200,OK,Single Thread Group 1-1,text,true,,534,0,1,1,null,3283,0,1\n",
        "1678674064788,2246,q89,200,OK,Single Thread Group 1-1,text,true,,8525,0,1,1,null,2245,0,0\n",
        "1678674067034,570,q15,200,OK,Single Thread Group 1-1,text,true,,2099,0,1,1,null,561,0,0\n",
        "1678674067604,1477,q52,200,OK,Single Thread Group 1-1,text,true,,4458,0,1,1,null,1476,0,0\n",
        "1678674069082,2884,q50,200,OK,Single Thread Group 1-1,text,true,,4524,0,1,1,null,2883,0,0\n",
        "1678674071967,904,q42,200,OK,Single Thread Group 1-1,text,true,,369,0,1,1,null,903,0,0\n",
        "1678674072872,5939,q88,200,OK,Single Thread Group 1-1,text,true,,147,0,1,1,null,5939,0,0\n",
        "1678674079142,2291,q71,200,OK,Single Thread Group 1-1,text,true,,372597,0,1,1,null,2065,0,0\n",
        "1678674081433,1794,q34,200,OK,Single Thread Group 1-1,text,true,,36509,0,1,1,null,1791,0,0\n",
        "1678674083228,1369,q30,200,OK,Single Thread Group 1-1,text,true,,10340,0,1,1,null,1364,0,0\n",
        "1678674084597,1009,q73,200,OK,Single Thread Group 1-1,text,true,,408,0,1,1,null,1009,0,0\n",
        "1678674085606,884,q84,200,OK,Single Thread Group 1-1,text,true,,3236,0,1,1,null,884,0,0\n",
        "1678674086491,1053,q55,200,OK,Single Thread Group 1-1,text,true,,3933,0,1,1,null,1043,0,0\n",
        "1678674087544,1813,q56,200,OK,Single Thread Group 1-1,text,true,,2367,0,1,1,null,1813,0,0\n",
        "1678674089560,2095,q26,200,OK,Single Thread Group 1-1,text,true,,4153,0,1,1,null,2094,0,0\n",
        "1678674091656,1409,q53,200,OK,Single Thread Group 1-1,text,true,,2650,0,1,1,null,1397,0,0\n",
        "1678674093065,3460,q79,200,OK,Single Thread Group 1-1,text,true,,4235,0,1,1,null,3459,0,0\n",
        "1678674096526,12427,q4,200,OK,Single Thread Group 1-1,text,true,,6005,0,1,1,null,12371,0,0\n",
        "1678674108953,2900,q99,200,OK,Single Thread Group 1-1,text,true,,487,0,1,1,null,2900,0,0\n",
        "1678674111853,3104,q68,200,OK,Single Thread Group 1-1,text,true,,7223,0,1,1,null,3103,0,0\n",
        "1678674115290,2200,q76,200,OK,Single Thread Group 1-1,text,true,,6090,0,1,1,null,2190,0,0\n",
        "'''\n",
        "\n",
        "df_cold = pd.read_csv(sio(df_cold_csv), usecols=['timeStamp', 'elapsed', 'label'])\n",
        "df_warm = pd.read_csv(sio(df_warm_csv), usecols=['timeStamp', 'elapsed', 'label'])\n",
        "\n",
        "# Another way, is to load from files.\n",
        "#df_cold = pd.read_csv(f'dremio-v{dremio_version}-tpc-ds-{dataset_size}-cold.csv', usecols=['timeStamp', 'elapsed', 'label'])\n",
        "#df_warm = pd.read_csv(f'dremio-v{dremio_version}-tpc-ds-{dataset_size}-warm.csv', usecols=['timeStamp', 'elapsed', 'label'])"
      ],
      "metadata": {
        "id": "ln_z3W5_172E"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Get details about the test execution duration.\n",
        "exec_duration_cold_sec = ((df_cold['timeStamp'].iloc[-1] - df_cold['timeStamp'].iloc[0]) / 1000).round(2)\n",
        "exec_duration_warm_sec = ((df_warm['timeStamp'].iloc[-1] - df_warm['timeStamp'].iloc[0]) / 1000).round(2)\n",
        "\n",
        "# Create a dataframe for test execution duration.\n",
        "exec_duration_df = pd.DataFrame({\n",
        "    'exec': [\n",
        "        f'First Run\\n({exec_duration_cold_sec}s)',\n",
        "        f'Second Run\\n({exec_duration_warm_sec}s)'\n",
        "    ],\n",
        "    'duration_sec': [exec_duration_cold_sec, exec_duration_warm_sec]\n",
        "})\n",
        "\n",
        "# Calculate percentage differences between the first and the second run.\n",
        "exec_duration_diff_pct = exec_duration_df[['duration_sec']].pct_change()['duration_sec'].iloc[1].round(2) * 100\n",
        "\n",
        "#-------------------------#\n",
        "# Plot execution duration #\n",
        "#-------------------------#\n",
        "\n",
        "exec_duration = exec_duration_df.plot.barh(x='exec', y='duration_sec', legend=False, figsize=(12, 8))\n",
        "exec_duration.invert_yaxis()\n",
        "exec_duration.set_title(f'{plot_main_title}\\n(Test execution duration in seconds)', pad=20, size=16)\n",
        "exec_duration.set_xlabel(f'Execution duration in seconds (Diff: {exec_duration_diff_pct} %)', labelpad=10)\n",
        "exec_duration.set_ylabel('')\n",
        "exec_duration.xaxis.grid(color='gray', linestyle='dashed')\n",
        "exec_duration.set_axisbelow(True)\n",
        "for color, bar in zip(['tab:blue', 'tab:orange'], exec_duration.patches):\n",
        "    bar.set_color(color)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 771
        },
        "id": "ZKCd2fZFnwDW",
        "outputId": "9ddd12a0-3112-491e-a60e-1a9a8704715d"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# --------------- #\n",
        "# Prepare\n",
        "# --------------- #\n",
        "\n",
        "# Merge cold and warm benchmark results in one dataframe.\n",
        "df_combined = df_cold.merge(df_warm, on='label', how='left', suffixes=('_cold', '_warm'))\n",
        "\n",
        "# Calculate percentage enhancement between cold and warm results.\n",
        "df_combined['elapsed_diff_pct'] = ((df_combined[['elapsed_cold', 'elapsed_warm']].pct_change(axis=1)['elapsed_warm']) * 100).round(2)\n",
        "\n",
        "# Create a new dataframe with elapsed time in seconds (JMeter's elapsed time unit is in milliseconds).\n",
        "df_cleaned = pd.DataFrame({\n",
        "        'duration_cold_sec': df_combined['elapsed_cold'].apply(lambda x: x / 1000).tolist(),\n",
        "        'duration_warm_sec': df_combined['elapsed_warm'].apply(lambda x: x / 1000).tolist(),\n",
        "        'duration_diff_pct': df_combined['elapsed_diff_pct'].tolist(),\n",
        "    },\n",
        "    index=df_combined['label']\n",
        ")"
      ],
      "metadata": {
        "id": "fGFIMfnf13dV"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(df_cleaned.sample(5).to_csv(sep=\"\\t\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "knSeEFFzO2xA",
        "outputId": "5a4ddf83-a03e-497d-8907-c87465076ae5"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "label\tduration_cold_sec\tduration_warm_sec\tduration_diff_pct\n",
            "q25\t6.992\t2.753\t-60.63\n",
            "q33\t4.021\t2.229\t-44.57\n",
            "q62\t2.697\t1.533\t-43.16\n",
            "q73\t1.838\t1.009\t-45.1\n",
            "q28\t7.138\t5.377\t-24.67\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# --------------- #\n",
        "# Plot\n",
        "# --------------- #\n",
        "\n",
        "plt.rcParams.update({\n",
        "    # Set background for all plots.\n",
        "    \"figure.facecolor\": 'white'\n",
        "})"
      ],
      "metadata": {
        "id": "0Zcu8PMP8bld"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#--------------------------#\n",
        "# Plot TPC-DS tests status #\n",
        "#--------------------------#\n",
        "\n",
        "tpcds_tests_data = {'Unsupported': 43, 'Succeeded': 46, 'Failed': 10}\n",
        "tpcds_tests_labels = [f\"{k}: {v} ({v / 99 * 100:.1f}%)\" for k, v in tpcds_tests_data.items()]\n",
        "\n",
        "tpcds_tests = plt.figure(\n",
        "    FigureClass=Waffle,\n",
        "    figsize=(8, 6),\n",
        "    rows=9,\n",
        "    columns=11,\n",
        "    values=tpcds_tests_data,\n",
        "    labels=tpcds_tests_labels,\n",
        "    legend={'loc': 'upper left', 'bbox_to_anchor': (1, 1)},\n",
        "    colors=[\"darkgray\", 'tab:green', 'tab:red'],\n",
        ")\n",
        "\n",
        "tpcds_tests.suptitle(f'{plot_main_title}\\n(Status of the TPC-DS 99 queries)', fontsize=16)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 591
        },
        "id": "BIGSEynUFL65",
        "outputId": "65ecbb8a-2d12-4c79-e5b5-03cf737ffb40"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0.98, 'TPC-DS queries benchmark for Dremio v24.0.0 - Dataset 10g\\n(Status of the TPC-DS 99 queries)')"
            ]
          },
          "metadata": {},
          "execution_count": 8
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Waffle size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#---------------------------------------------#\n",
        "# Plot queries performance with cache enabled #\n",
        "#---------------------------------------------#\n",
        "\n",
        "query_performance_df = pd.DataFrame({\n",
        "        'queries': [len(df_cleaned[df_cleaned['duration_diff_pct'] < 0]),\n",
        "                  len(df_cleaned[df_cleaned['duration_diff_pct'] > 0])],\n",
        "    },\n",
        "    index=['Improved', 'worsened']\n",
        ")\n",
        "\n",
        "# Show the percentage and actual value at the same time.\n",
        "def autopct_format(pct):\n",
        "    total = sum(query_performance_df['queries'])\n",
        "    return '{:.1f}%\\n({:.0f})'.format(pct, total * pct / 100)\n",
        "\n",
        "query_performance = query_performance_df.plot.pie(y='queries', colors=['tab:green', 'tab:red'], autopct=autopct_format, figsize=(12, 8))\n",
        "query_performance.set_title(f'{plot_main_title}\\n(Queries performance with cache enabled)', pad=20, size=16)\n",
        "query_performance.set_xlabel(f'Queries (Total: {query_performance_df[\"queries\"].sum()})', labelpad=10)\n",
        "query_performance.set_ylabel('')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 765
        },
        "id": "qe1CFlek7UbF",
        "outputId": "1d03e857-ca20-4b38-ac82-99c93d8ef879"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, '')"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#-------------------------------------------------------------#\n",
        "# Plot overview of the queries performance with cache enabled #\n",
        "#-------------------------------------------------------------#\n",
        "\n",
        "diff_pct_df = df_cleaned.sort_values(by=['duration_diff_pct'])['duration_diff_pct']\n",
        "diff_pct = diff_pct_df.plot.line(color='darkgray', style='.-', rot=0, figsize=(24, 12))\n",
        "diff_pct.yaxis.grid(color='gray', linestyle='dashed')\n",
        "diff_pct.set_axisbelow(True)\n",
        "diff_pct.set_title(f'{plot_main_title}\\n(Overview of queries performance with cache enabled)', pad=20, size=16)\n",
        "diff_pct.set_xlabel('Query ID', labelpad=20)\n",
        "diff_pct.set_ylabel('Query duration diff percentage (lower is better)', labelpad=20)\n",
        "xticks = range(diff_pct_df.count())\n",
        "diff_pct.set_xticks(xticks)\n",
        "diff_pct.set_xticklabels(diff_pct_df.index.tolist())\n",
        "diff_pct.axhline(0, color='gray')\n",
        "for index in xticks:\n",
        "    diff_pct.text(index-0.8, diff_pct_df[index]+0.8, '{0:.3g}%'.format(diff_pct_df[index]), horizontalalignment='center', rotation=-25)\n",
        "\n",
        "# Add summary box.\n",
        "diff_pct_stat = (\n",
        "    f'Min (best): {diff_pct_df.min()}%\\n'\n",
        "    f'Q1 (25% quantile): {diff_pct_df.quantile(0.25)}%\\n'\n",
        "    f'Median: {diff_pct_df.median()}%\\n'\n",
        "    f'Q3 (75% quantile): {diff_pct_df.quantile(0.75)}%\\n'\n",
        "    f'Max (worst): {diff_pct_df.max()}%'\n",
        ")\n",
        "diff_pct_details = obat(diff_pct_stat, prop=dict(size=14), frameon=True, loc='upper left')\n",
        "diff_pct_details.patch.set(boxstyle='square', edgecolor='darkgray')\n",
        "diff_pct.add_artist(diff_pct_details)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 827
        },
        "id": "jSl9QY8r6fKX",
        "outputId": "3e1fad58-37dc-4a98-9b5f-02f42677ccb9"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.offsetbox.AnchoredText at 0x7fbd8c230b80>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1200 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#---------------------------------------#\n",
        "# Plot queries performance distribution #\n",
        "#---------------------------------------#\n",
        "\n",
        "# Base.\n",
        "fig, ax = plt.subplots(2, figsize=(24, 12), sharex=True, gridspec_kw={\"height_ratios\": (.2, .8)})\n",
        "fig.suptitle(f'{plot_main_title}\\n(Detailed view of queries performance with cache enabled)', size=16)\n",
        "plt.subplots_adjust(hspace=0.1)\n",
        "\n",
        "# Summary.\n",
        "diff_pct_details = obat(diff_pct_stat, prop=dict(size=14), frameon=True, loc='upper right')\n",
        "diff_pct_details.patch.set(boxstyle='square', edgecolor='darkgray')\n",
        "ax[1].add_artist(diff_pct_details)\n",
        "\n",
        "# Boxplot.\n",
        "diff_pct_box = diff_pct_df.plot.box(color='darkgray', vert=False, medianprops={'color': 'gray'}, patch_artist=True, widths = 0.5, ax=ax[0])\n",
        "diff_pct_box.axvline(0, color='gray')\n",
        "diff_pct_box.set_yticks([])\n",
        "\n",
        "# Histogram.\n",
        "diff_pct_hist = diff_pct_df.plot.hist(color='darkgray', edgecolor='gray', bins=20, xlim=[-100, 100], ax=ax[1])\n",
        "diff_pct_hist.set_xticks(range(-100, 100, 10))\n",
        "diff_pct_hist.axvline(0, color='gray')\n",
        "diff_pct_hist.set_xlabel('Query duration diff percentage (lower is better)', labelpad=20)\n",
        "\n",
        "# Distribution line.\n",
        "diff_pct_kde = diff_pct_df.plot.kde(color='gray', ax=diff_pct_hist.twinx())\n",
        "diff_pct_kde.set_yticks([])\n",
        "diff_pct_kde.set_ylabel('')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 884
        },
        "id": "brVIuFs8J7BX",
        "outputId": "15b1a840-84a3-4ab8-85e8-b519acadb295"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, '')"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1200 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Set labels with percentage enhancement to make it easy to plot bars.\n",
        "df_cleaned['label_diff_pct'] = df_cleaned.assign(label=df_cleaned.index)[['label', 'duration_diff_pct']].apply(\n",
        "    lambda x : f'{x[0]} (diff: {x[1]}%)', axis=1)\n",
        "df_cleaned.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "id": "tPEva6JRUJsn",
        "outputId": "f13999c1-506a-46da-d8a6-9b65034daf53"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       duration_cold_sec  duration_warm_sec  duration_diff_pct  \\\n",
              "label                                                            \n",
              "q96               11.001              1.865             -83.05   \n",
              "q7                15.380              5.996             -61.01   \n",
              "q19                4.378              2.544             -41.89   \n",
              "q25                6.992              2.753             -60.63   \n",
              "q78               17.084              7.632             -55.33   \n",
              "\n",
              "            label_diff_pct  \n",
              "label                       \n",
              "q96    q96 (diff: -83.05%)  \n",
              "q7      q7 (diff: -61.01%)  \n",
              "q19    q19 (diff: -41.89%)  \n",
              "q25    q25 (diff: -60.63%)  \n",
              "q78    q78 (diff: -55.33%)  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9c883b1e-c12a-4601-bf10-b48d4d33d5ec\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>duration_cold_sec</th>\n",
              "      <th>duration_warm_sec</th>\n",
              "      <th>duration_diff_pct</th>\n",
              "      <th>label_diff_pct</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>label</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>q96</th>\n",
              "      <td>11.001</td>\n",
              "      <td>1.865</td>\n",
              "      <td>-83.05</td>\n",
              "      <td>q96 (diff: -83.05%)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>q7</th>\n",
              "      <td>15.380</td>\n",
              "      <td>5.996</td>\n",
              "      <td>-61.01</td>\n",
              "      <td>q7 (diff: -61.01%)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>q19</th>\n",
              "      <td>4.378</td>\n",
              "      <td>2.544</td>\n",
              "      <td>-41.89</td>\n",
              "      <td>q19 (diff: -41.89%)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>q25</th>\n",
              "      <td>6.992</td>\n",
              "      <td>2.753</td>\n",
              "      <td>-60.63</td>\n",
              "      <td>q25 (diff: -60.63%)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>q78</th>\n",
              "      <td>17.084</td>\n",
              "      <td>7.632</td>\n",
              "      <td>-55.33</td>\n",
              "      <td>q78 (diff: -55.33%)</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9c883b1e-c12a-4601-bf10-b48d4d33d5ec')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-9c883b1e-c12a-4601-bf10-b48d4d33d5ec button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9c883b1e-c12a-4601-bf10-b48d4d33d5ec');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#-----------------------------------------#\n",
        "# Plot the best 10 queries by using cache #\n",
        "#-----------------------------------------#\n",
        "\n",
        "best_queries_df = df_cleaned.nsmallest(10, 'duration_diff_pct')\n",
        "best_queries = best_queries_df.plot.bar(y=['duration_cold_sec', 'duration_warm_sec'], x='label_diff_pct', rot=0, figsize=(24, 12))\n",
        "best_queries.legend([\"Cold query (without cache)\", \"Warm query (with cache)\"])\n",
        "best_queries.yaxis.grid(color='gray', linestyle='dashed')\n",
        "best_queries.set_axisbelow(True)\n",
        "best_queries.set_title(f'{plot_main_title}\\n(Top 10 best performing queries when cache enabled)', pad=20, size=16)\n",
        "best_queries.set_xlabel('Query ID (with percentage enhancement)', labelpad=20)\n",
        "best_queries.set_ylabel('Query duration in seconds', labelpad=20)\n",
        "for container in best_queries.containers:\n",
        "    best_queries.bar_label(container)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 814
        },
        "id": "rlgRn0sV6rmW",
        "outputId": "ff97e1c6-1041-4ff0-961f-413667053f0d"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1200 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#------------------------------------------#\n",
        "# Plot the worst 10 queries by using cache #\n",
        "#------------------------------------------#\n",
        "\n",
        "worst_queries_df = df_cleaned.nlargest(10, 'duration_diff_pct')\n",
        "worst_queries = worst_queries_df.plot.bar(y=['duration_cold_sec', 'duration_warm_sec'], x='label_diff_pct', rot=0, figsize=(24, 12))\n",
        "worst_queries.legend([\"Cold query (without cache)\", \"Warm query (with cache)\"])\n",
        "worst_queries.yaxis.grid(color='gray', linestyle='dashed')\n",
        "worst_queries.set_axisbelow(True)\n",
        "worst_queries.set_title(f'{plot_main_title}\\n(Top 10 worst performing queries when cache enabled)', pad=20, size=16)\n",
        "worst_queries.set_xlabel('Query ID (with percentage enhancement)', labelpad=20)\n",
        "worst_queries.set_ylabel('Query duration in seconds', labelpad=20)\n",
        "for container in worst_queries.containers:\n",
        "    worst_queries.bar_label(container)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 818
        },
        "id": "pGNT8xCL6vPu",
        "outputId": "8bdb41ab-b377-4a6e-ee84-e323a6085a53"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2400x1200 with 1 Axes>"
            ],
            "image/png": 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          "metadata": {}
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}