tutorials/002 - Sessions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![AWS SDK for pandas](_static/logo.png \"AWS SDK for pandas\")](https://github.com/aws/aws-sdk-pandas)\n",
    "\n",
    "# 2 - Sessions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How awswrangler handles Sessions and AWS credentials?\n",
    "\n",
    "After version 1.0.0 awswrangler relies on [Boto3.Session()](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/core/session.html) to manage AWS credentials and configurations.\n",
    "\n",
    "awswrangler will not store any kind of state internally. Users are in charge of managing Sessions.\n",
    "\n",
    "Most awswrangler functions receive the optional `boto3_session` argument. If None is received, the default boto3 Session will be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import boto3\n",
    "\n",
    "import awswrangler as wr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using the default Boto3 Session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wr.s3.does_object_exist(\"s3://noaa-ghcn-pds/fake\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Customizing and using the default Boto3 Session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boto3.setup_default_session(region_name=\"us-east-2\")\n",
    "\n",
    "wr.s3.does_object_exist(\"s3://noaa-ghcn-pds/fake\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using a new custom Boto3 Session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_session = boto3.Session(region_name=\"us-east-2\")\n",
    "\n",
    "wr.s3.does_object_exist(\"s3://noaa-ghcn-pds/fake\", boto3_session=my_session)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.14",
   "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": "3.9.14"
  },
  "vscode": {
   "interpreter": {
    "hash": "abf31c45c41a2718a2f25e3a2e428f2a986d4fe24d411f7f5e3ce0fef626968d"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}