master-thesis/db/create_database.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# create Database"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import db_settings\n",
"\n",
"import sys\n",
"sys.path.append(\"../\")\n",
"\n",
"import settings\n",
"\n",
"from database_connection import DatabaseConnection\n",
"\n",
"from json_buffered_reader import JSON_buffered_reader as JSON_br"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import json"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"buffered_reader_1M = JSON_br(\"../\" + settings.one_million_recipes_file)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"create_table_query = f\"\"\"\n",
"CREATE TABLE recipes(\n",
" id varchar(16) primary key,\n",
" title varchar(255),\n",
" url varchar(255),\n",
" part varchar(8),\n",
" ingredients json,\n",
" instructions json\n",
") CHARACTER SET '{db_settings.db_charset}'\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<database_connection.DatabaseConnection at 0x7fd5ddd5ab38>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"DatabaseConnection(db_settings.db_host,\n",
" db_settings.db_port,\n",
" db_settings.db_user,\n",
" db_settings.db_pw,\n",
" db_settings.db_db,\n",
" db_settings.db_charset)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"DatabaseConnection.global_single_execution(create_table_query)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"CREATE TABLE recipes(\n",
" id varchar(16) primary key,\n",
" title varchar(255),\n",
" url varchar(255),\n",
" part varchar(8),\n",
" ingredients json,\n",
" instructions json\n",
") CHARACTER SET 'utf8mb4'\n",
"\n"
]
}
],
"source": [
"print(create_table_query)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"query = \"insert into recipes (id, title, url, part, ingredients, instructions) values (%s, %s, %s, %s, %s, %s)\""
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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]
}
],
"source": [
"for i, rec in enumerate(buffered_reader_1M):\n",
" DatabaseConnection.global_single_execution(query, (\n",
" rec['id'],\n",
" rec['title'],\n",
" rec['url'],\n",
" rec['partition'],\n",
" json.dumps([ing['text'] for ing in rec['ingredients']]),\n",
" json.dumps([ins['text'] for ins in rec['instructions']])\n",
" ))\n",
" if i % 1000 == 0:\n",
" print(i)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* count all recipes"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 2.34 ms, sys: 3.88 ms, total: 6.22 ms\n",
"Wall time: 3.59 ms\n"
]
},
{
"data": {
"text/plain": [
"[{'count(*)': 1029720}]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%time DatabaseConnection.global_single_query(\"select count(*) from recipes\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* test query"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 1.39 ms, sys: 80 µs, total: 1.47 ms\n",
"Wall time: 1.03 ms\n"
]
}
],
"source": [
"%time rec = DatabaseConnection.global_single_query(\"select * from recipes where recipes.id like %s\", ('00007bfd16'))"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'[\"6 -8 cups fresh rhubarb, or\", \"6 -8 cups frozen rhubarb, thawed\", \"1 12 cups granulated sugar\", \"6 ounces strawberry Jell-O gelatin dessert\", \"1 white cake mix (2 layer size)\", \"1 12 cups water\", \"12 cup butter or 12 cup margarine, melted\"]'"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rec[0]['ingredients']"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}