tutorials/007 - Redshift, MySQL, PostgreSQL, SQL Server, Oracle.ipynb (231 lines of code) (raw):
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"[![AWS SDK for pandas](_static/logo.png \"AWS SDK for pandas\")](https://github.com/aws/aws-sdk-pandas)\n",
"\n",
"# 7 - Redshift, MySQL, PostgreSQL, SQL Server and Oracle\n",
"\n",
"[awswrangler](https://github.com/aws/aws-sdk-pandas)'s Redshift, MySQL and PostgreSQL have two basic functions in common that try to follow Pandas conventions, but add more data type consistency.\n",
"\n",
"- [wr.redshift.to_sql()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.redshift.to_sql.html)\n",
"- [wr.redshift.read_sql_query()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.redshift.read_sql_query.html)\n",
"- [wr.mysql.to_sql()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.mysql.to_sql.html)\n",
"- [wr.mysql.read_sql_query()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.mysql.read_sql_query.html)\n",
"- [wr.postgresql.to_sql()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.postgresql.to_sql.html)\n",
"- [wr.postgresql.read_sql_query()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.postgresql.read_sql_query.html)\n",
"- [wr.sqlserver.to_sql()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.sqlserver.to_sql.html)\n",
"- [wr.sqlserver.read_sql_query()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.sqlserver.read_sql_query.html)\n",
"- [wr.oracle.to_sql()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.oracle.to_sql.html)\n",
"- [wr.oracle.read_sql_query()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.oracle.read_sql_query.html)"
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"source": [
"# Install the optional modules first\n",
"!pip install 'awswrangler[redshift, postgres, mysql, sqlserver, oracle]'"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"import awswrangler as wr\n",
"\n",
"df = pd.DataFrame({\"id\": [1, 2], \"name\": [\"foo\", \"boo\"]})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Connect using the Glue Catalog Connections\n",
"\n",
"- [wr.redshift.connect()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.redshift.connect.html)\n",
"- [wr.mysql.connect()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.mysql.connect.html)\n",
"- [wr.postgresql.connect()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.postgresql.connect.html)\n",
"- [wr.sqlserver.connect()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.sqlserver.connect.html)\n",
"- [wr.oracle.connect()](https://aws-sdk-pandas.readthedocs.io/en/3.11.0/stubs/awswrangler.oracle.connect.html)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"con_redshift = wr.redshift.connect(\"aws-sdk-pandas-redshift\")\n",
"con_mysql = wr.mysql.connect(\"aws-sdk-pandas-mysql\")\n",
"con_postgresql = wr.postgresql.connect(\"aws-sdk-pandas-postgresql\")\n",
"con_sqlserver = wr.sqlserver.connect(\"aws-sdk-pandas-sqlserver\")\n",
"con_oracle = wr.oracle.connect(\"aws-sdk-pandas-oracle\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Raw SQL queries (No Pandas)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1]\n"
]
}
],
"source": [
"with con_redshift.cursor() as cursor:\n",
" for row in cursor.execute(\"SELECT 1\"):\n",
" print(row)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Loading data to Database"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"wr.redshift.to_sql(df, con_redshift, schema=\"public\", table=\"tutorial\", mode=\"overwrite\")\n",
"wr.mysql.to_sql(df, con_mysql, schema=\"test\", table=\"tutorial\", mode=\"overwrite\")\n",
"wr.postgresql.to_sql(df, con_postgresql, schema=\"public\", table=\"tutorial\", mode=\"overwrite\")\n",
"wr.sqlserver.to_sql(df, con_sqlserver, schema=\"dbo\", table=\"tutorial\", mode=\"overwrite\")\n",
"wr.oracle.to_sql(df, con_oracle, schema=\"test\", table=\"tutorial\", mode=\"overwrite\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Unloading data from Database"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
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" id name\n",
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"1 2 boo"
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"wr.redshift.read_sql_query(\"SELECT * FROM public.tutorial\", con=con_redshift)\n",
"wr.mysql.read_sql_query(\"SELECT * FROM test.tutorial\", con=con_mysql)\n",
"wr.postgresql.read_sql_query(\"SELECT * FROM public.tutorial\", con=con_postgresql)\n",
"wr.sqlserver.read_sql_query(\"SELECT * FROM dbo.tutorial\", con=con_sqlserver)\n",
"wr.oracle.read_sql_query(\"SELECT * FROM test.tutorial\", con=con_oracle)"
]
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"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"con_redshift.close()\n",
"con_mysql.close()\n",
"con_postgresql.close()\n",
"con_sqlserver.close()\n",
"con_oracle.close()"
]
}
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