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alonsosilvaallende/kuzu-add-nodes.ipynb

Created June 29, 2024 13:03
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Kuzu-add-nodes.ipynb
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kuzu-add-nodes.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyP6pX/YS0gyWTuOQsDLi9+y",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/alonsosilvaallende/77f1ad0679bdf47ec17b2a6c7b799930/kuzu-add-nodes.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "Mr1Uo3kbDznF"
},
"outputs": [],
"source": [
"%pip install --upgrade --quiet kuzu"
]
},
{
"cell_type": "code",
"source": [
"import kuzu"
],
"metadata": {
"id": "83YmBW_3D2Va"
},
"execution_count": 2,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Clean up the directory used in this notebook\n",
"import shutil\n",
"\n",
"shutil.rmtree(\"./test\", ignore_errors=True)"
],
"metadata": {
"id": "N_5St7tTD9aD"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Initialize database\n",
"db = kuzu.Database(\"./test\")\n",
"conn = kuzu.Connection(db)"
],
"metadata": {
"id": "hkcVWhqOEILc"
},
"execution_count": 4,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Create schema\n",
"conn.execute(\"CREATE NODE TABLE Actor(name STRING, PRIMARY KEY (name))\");"
],
"metadata": {
"id": "TZD-Vu8EEQbI"
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Insert data\n",
"conn.execute(\"CREATE (neo:Actor {name: 'Keanu Reeves'})\");\n",
"conn.execute(\"CREATE (trinity:Actor {name: 'Carrie-Anne Moss'})\");"
],
"metadata": {
"id": "ikR5Fvk9EMKQ"
},
"execution_count": 6,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Execute Cypher query\n",
"response = conn.execute(\n",
" \"\"\"\n",
" MATCH (a:Actor)\n",
" RETURN a.name;\n",
" \"\"\"\n",
")"
],
"metadata": {
"id": "riHPAuu4ETqD"
},
"execution_count": 7,
"outputs": []
},
{
"cell_type": "code",
"source": [
"while response.has_next():\n",
" print(response.get_next())"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "FV2eFi66Eed1",
"outputId": "768783a3-5361-4e83-d837-34b5daed4f21"
},
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"['Keanu Reeves']\n",
"['Carrie-Anne Moss']\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"df_response = response.get_as_df()\n",
"df_response"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 125
},
"id": "bBUcQtu8EiaO",
"outputId": "38b41dce-c7ef-46bd-e605-28fe33cbbf29"
},
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" a.name\n",
"0 Keanu Reeves\n",
"1 Carrie-Anne Moss"
],
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" title=\"Convert this dataframe to an interactive table.\"\n",
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" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
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" 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",
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"</svg>\n",
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"\n",
"<style>\n",
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"\n",
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" border-bottom-color: var(--fill-color);\n",
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" const quickchartButtonEl =\n",
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" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
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" }\n",
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"</div>\n",
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" background-color: #E8F0FE;\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
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" background-color: #3B4455;\n",
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" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
" fill: #FFFFFF;\n",
" }\n",
" </style>\n",
" <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df_response')\"\n",
" title=\"Generate code using this dataframe.\"\n",
" style=\"display:none;\">\n",
"\n",
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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" const buttonEl =\n",
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" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
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" google.colab.notebook.generateWithVariable('df_response');\n",
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],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe",
"variable_name": "df_response",
"summary": "{\n \"name\": \"df_response\",\n \"rows\": 2,\n \"fields\": [\n {\n \"column\": \"a.name\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"Carrie-Anne Moss\",\n \"Keanu Reeves\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
}
},
"metadata": {},
"execution_count": 9
}
]
}
]
}
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