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   "id": "f62f45bf-8549-4d60-b90f-270ed1c142b5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Setting default log level to \"WARN\".\n",
      "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
      "26/06/06 09:07:09 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Активные Spark сессии: http://5e7ed2c4667c:4040\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "26/06/06 09:07:29 WARN GarbageCollectionMetrics: To enable non-built-in garbage collector(s) List(G1 Concurrent GC), users should configure it(them) to spark.eventLog.gcMetrics.youngGenerationGarbageCollectors or spark.eventLog.gcMetrics.oldGenerationGarbageCollectors\n"
     ]
    }
   ],
   "source": [
    "from pyspark.sql import SparkSession\n",
    "\n",
    "spark = SparkSession.builder.appName(\"test_pyspark_local\").getOrCreate()\n",
    "print(\"Активные Spark сессии:\", spark.sparkContext.uiWebUrl)\n",
    "\n",
    "# 1\n",
    "logs_rdd = spark.sparkContext.textFile(\"logs.txt\")\n",
    "# 2 - transformation\n",
    "errors_rdd = logs_rdd.filter(lambda line: \"ERROR\" in line)\n",
    "# 3 - transformation\n",
    "erros_upper_rdd = errors_rdd.map(lambda line: line.upper())\n",
    "# 4 - transformation\n",
    "error_count = erros_upper_rdd.count()\n",
    "# 5 - action\n",
    "erros_upper_rdd.saveAsTextFile(\"errors_upper.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d95abd88-700e-4615-8a7a-98a4f9b4877d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = spark.read.text(\"logs.txt\")\n"
   ]
  }
 ],
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