users_first_login_query.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyspark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "ss = pyspark.sql.SparkSession.builder.getOrCreate()\n",
    "\n",
    "login_activity_type_id = 0\n",
    "logout_activity_type_id = 1\n",
    "\n",
    "users = [\n",
    "    (1, \"Doe, John\"), \n",
    "    (2, \"Deo, June\"), \n",
    "    (3, \"Dow, Johnes\"), \n",
    "    (4, \"Gilbert, Olivia\"),\n",
    "]\n",
    "\n",
    "user_events = [\n",
    "    (1, login_activity_type_id, 1514764800000),\n",
    "    (2, login_activity_type_id, 1514808000000),\n",
    "    (1, logout_activity_type_id, 1514829600000),\n",
    "    (1, login_activity_type_id, 1514894400000),\n",
    "    (4, login_activity_type_id, 1596877800),\n",
    "    (4, logout_activity_type_id, 1594194643),\n",
    "    (4, login_activity_type_id, 1594192830),\n",
    "    (4, logout_activity_type_id, 1596877920),\n",
    "]\n",
    "\n",
    "users_df = ss.sparkContext.parallelize(users).toDF(['user_id', 'user_name'])\n",
    "user_events_df = ss.sparkContext.parallelize(user_events).toDF(['user_id', 'activity_id', 'timestamp'])\n",
    "\n",
    "users_df.createOrReplaceTempView('users')\n",
    "user_events_df.createOrReplaceTempView('user_events')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+---------------+-------------+\n",
      "|user_id|      user_name|  first_login|\n",
      "+-------+---------------+-------------+\n",
      "|      2|      Deo, June|1514808000000|\n",
      "|      1|      Doe, John|1514764800000|\n",
      "|      4|Gilbert, Olivia|   1594192830|\n",
      "|      3|    Dow, Johnes|         null|\n",
      "+-------+---------------+-------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "result = ss.sql(f\"\"\"\n",
    "    SELECT \n",
    "        u.user_id,\n",
    "        u.user_name,\n",
    "        MIN(ue.timestamp) first_login\n",
    "    FROM user_events ue\n",
    "    RIGHT JOIN users u\n",
    "        ON u.user_id = ue.user_id\n",
    "    WHERE \n",
    "        ue.activity_id = {login_activity_type_id} OR ue.activity_id IS NULL\n",
    "    GROUP BY u.user_id, u.user_name\n",
    "    ORDER BY first_login DESC\n",
    "\"\"\")\n",
    "\n",
    "result.show()"
   ]
  }
 ],
 "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": 2
}