feat: add homework

homework/task4.ipynb

@@ -0,0 +1,140 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1cb824b4-398d-45b0-bc05-fc855b390f6c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyspark.sql import SparkSession, functions as F\n",
+    "\n",
+    "spark = SparkSession.builder.appName(\"some_name\").getOrCreate()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "a8955f86-1640-455d-b7cf-efa7143829dc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "+-------------------------------------------+\n",
+      "|message                                    |\n",
+      "+-------------------------------------------+\n",
+      "|Database connection failed                 |\n",
+      "|Timeout while waiting for response response|\n",
+      "|NullPointerException                       |\n",
+      "+-------------------------------------------+\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "df = spark.read.text(\"logs.txt\")\n",
+    "\n",
+    "errors_df = df.filter(F.col(\"value\").startswith(\"ERROR \"))\n",
+    "\n",
+    "parts = F.split(F.col(\"value\"), \" \", 4)\n",
+    "messages_df = errors_df.select(parts[3].alias(\"message\"))\n",
+    "\n",
+    "messages_df.show(truncate=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "ac16086b-6ac3-4976-97ce-d9cd3d90ff59",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "+--------------------+\n",
+      "|                word|\n",
+      "+--------------------+\n",
+      "|            database|\n",
+      "|          connection|\n",
+      "|              failed|\n",
+      "|             timeout|\n",
+      "|               while|\n",
+      "|             waiting|\n",
+      "|                 for|\n",
+      "|            response|\n",
+      "|            response|\n",
+      "|nullpointerexception|\n",
+      "+--------------------+\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "words = F.split(F.lower(F.col(\"message\")), \" \")\n",
+    "words_df = messages_df.select(F.explode(words).alias(\"word\"))\n",
+    "words_df.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "058c2e5c-fae8-482c-b628-3922eaebd2f5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "+--------------------+-----+\n",
+      "|                word|count|\n",
+      "+--------------------+-----+\n",
+      "|            response|    2|\n",
+      "|nullpointerexception|    1|\n",
+      "|                 for|    1|\n",
+      "|              failed|    1|\n",
+      "|             timeout|    1|\n",
+      "|            database|    1|\n",
+      "|               while|    1|\n",
+      "|             waiting|    1|\n",
+      "|          connection|    1|\n",
+      "+--------------------+-----+\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "result = (\n",
+    "    words_df\n",
+    "    .groupBy(\"word\")\n",
+    "    .count()\n",
+    "    .orderBy(F.desc(\"count\"))\n",
+    ")\n",
+    "result.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}