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Add 3rd notebook
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‎python-azure-sql/3-manipulate-data-sql.ipynb

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{
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"metadata": {
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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},
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"orig_nbformat": 2,
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"kernelspec": {
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"name": "python385jvsc74a57bd09ceeaccb2d4b8fc120d52b4319c20d729c878e30972ae0f296691445edd93f69",
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"display_name": "Python 3.8.5 32-bit"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2,
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"cells": [
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{
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"source": [
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"# Manipulate data in Azure SQL Database using Python and Jupyter Notebook"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"source": [
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"## Import the library"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pyodbc"
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]
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},
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{
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"source": [
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"## Open the connection"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"server = '<server>.database.windows.net'\n",
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"database = '<database>'\n",
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"username = '<username>'\n",
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"password = '<password>'\n",
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"driver= '{ODBC Driver 17 for SQL Server}'\n",
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"conn = pyodbc.connect('DRIVER=' + driver + ';SERVER=' +\n",
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" server + ';PORT=1433;DATABASE=' + database +\n",
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" ';UID=' + username + ';PWD=' + password)"
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]
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},
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{
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"source": [
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"## Create a cursor object"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"cursor = conn.cursor()"
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]
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},
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{
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"source": [
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"## Insert a new movie"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"cursor.execute(\"INSERT INTO movies \"\n",
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" \"(movie_title, released_year, runtime, genre, rating, director, \"\n",
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" \"star1, star2, number_of_votes, gross) \"\n",
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" \"VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\", \n",
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" (\"The Imitation Game\", 2014, 114, \"Biography\", 80, \n",
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" \"Morten Tyldum\", \"Benedict Cumberbatch\", \"Keira Knightley\", \n",
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" 685201, 91125683))"
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]
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},
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{
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"source": [
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"## Commit the changes"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"conn.commit()"
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]
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},
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{
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"source": [
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"## Read data"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Read data\n",
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"cursor.execute(\"SELECT \"\n",
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" \"movie_id, movie_title, director \"\n",
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" \"FROM movies\")\n",
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"rows = cursor.fetchall()\n",
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"\n",
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"# Print data\n",
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"for row in rows:\n",
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" print(row)"
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]
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},
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{
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"source": [
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"## Update a data row in the table"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"cursor.execute(\"UPDATE movies \"\n",
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" \"SET genre = ? \"\n",
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" \"WHERE movie_title = ?\", \n",
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" (\"Biography\", \"The Theory of Everything\"))\n",
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"\n",
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"print(\"Updated\",cursor.rowcount,\"row(s) of data.\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Read data\n",
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"cursor.execute(\"SELECT \"\n",
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" \"movie_id, movie_title, genre \"\n",
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" \"FROM movies \"\n",
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" \"WHERE movie_title = ?\",\n",
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" (\"The Theory of Everything\", ))\n",
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"rows = cursor.fetchall()\n",
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"print(rows[0])"
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]
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},
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{
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"source": [
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"## Delete data"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"cursor.execute(\"DELETE FROM movies \"\n",
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" \"WHERE genre = ?\", \n",
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" (\"Horror\", ))\n",
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"print(\"Deleted\",cursor.rowcount,\"row(s) of data.\")"
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]
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},
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{
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"source": [
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"## Order data"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Read data\n",
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"cursor.execute(\"SELECT movie_title, released_year, genre, gross \"\n",
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" \"FROM movies \"\n",
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" \"WHERE genre = ? AND released_year BETWEEN ? AND ? \"\n",
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" \"ORDER BY released_year ASC, gross DESC\",\n",
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" (\"Action\", 2009, 2019))\n",
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"rows = cursor.fetchall()\n",
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"\n",
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"# Print data\n",
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"for row in rows:\n",
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" print(row)"
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]
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},
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{
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"source": [
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"## Use the *MAX()* function"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Read data\n",
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"cursor.execute(\"SELECT MAX(gross) \"\n",
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" \"FROM movies \"\n",
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" \"WHERE director = ? \",\n",
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" (\"Martin Scorsese\", ))\n",
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"rows = cursor.fetchall()\n",
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"\n",
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"# Print data\n",
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"print(rows[0])"
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]
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},
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{
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"source": [
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"## Close the connection"
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],
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"cell_type": "markdown",
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"conn.commit()\n",
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"cursor.close()\n",
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"conn.close()"
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]
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}
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]
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}

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