{"id":46754,"date":"2023-02-22T18:48:11","date_gmt":"2024-02-23T14:49:14","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/python%e4%b8%8esensortag%e3%80%81kafka%e3%80%81spark-streaming%e7%9a%84%e6%b5%81%e5%a4%84%e7%90%86-%e7%ac%ac6%e9%83%a8%e5%88%86-%e5%9c%a8jupyter%e4%b8%ad%e4%bd%bf%e7%94%a8pyspark-streaming%e8%bf%9b\/"},"modified":"2024-04-29T15:48:12","modified_gmt":"2024-04-29T07:48:12","slug":"python%e4%b8%8esensortag%e3%80%81kafka%e3%80%81spark-streaming%e7%9a%84%e6%b5%81%e5%a4%84%e7%90%86-%e7%ac%ac6%e9%83%a8%e5%88%86-%e5%9c%a8jupyter%e4%b8%ad%e4%bd%bf%e7%94%a8pyspark-streaming%e8%bf%9b","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/python%e4%b8%8esensortag%e3%80%81kafka%e3%80%81spark-streaming%e7%9a%84%e6%b5%81%e5%a4%84%e7%90%86-%e7%ac%ac6%e9%83%a8%e5%88%86-%e5%9c%a8jupyter%e4%b8%ad%e4%bd%bf%e7%94%a8pyspark-streaming%e8%bf%9b\/","title":{"rendered":"Python\u4e0eSensorTag\u3001Kafka\u3001Spark Streaming\u7684\u6d41\u5904\u7406- \u7b2c6\u90e8\u5206: \u5728Jupyter\u4e2d\u4f7f\u7528PySpark Streaming\u8fdb\u884c\u7a97\u53e3\u805a\u5408"},"content":{"rendered":"<p>\u7ec8\u4e8e\u51c6\u5907\u597d\u6267\u884c\u6807\u9898\u4ee3\u7801\u4e86\u3002\u5c06SensorTag\u7684\u6570\u636e\u53d1\u9001\u5230Kafka\uff0c\u5e76\u4f7f\u7528PySpark Streaming\u8fdb\u884c\u7a97\u53e3\u805a\u5408\u3002\u6211\u4eec\u5c06\u4f7f\u7528Jupyter\u4f5c\u4e3aPython\u7684\u4ea4\u4e92\u5f0f\u6267\u884c\u73af\u5883\u3002<\/p>\n<h2>\u9810\u5099<\/h2>\n<p>\u6211\u4eec\u5c06\u4f7f\u7528\u4e4b\u524d\u51c6\u5907\u597d\u7684Python\u811a\u672c\u548cKafka\u3001Spark\u96c6\u7fa4\u3002<\/p>\n<p>Part 2\u3067\u66f8\u3044\u305fRaspberry Pi 3\u304b\u3089SensorTag\u306e\u30c7\u30fc\u30bf\u3092JSON\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u3067Kafka\u306b\u9001\u4fe1\u3059\u308b\u30b9\u30af\u30ea\u30d7\u30c8\u3068Confluent Open Source\u30af\u30e9\u30b9\u30bf<\/p>\n<p>Part 5\u3067\u69cb\u7bc9\u3057\u305fSpark Standalone Cluster\u3068Jupyter<\/p>\n<h2>\u7b14\u8bb0\u672c<\/h2>\n<p>\u6211\u4eec\u5c06\u5728Jupyter Notebook\u4e2d\u4ee5\u4ea4\u4e92\u5f0f\u65b9\u5f0f\u8fd0\u884c\u548c\u786e\u8ba4\u4ee3\u7801\u3002\u4ee5\u4e0b\u6bb5\u843d\u5206\u522b\u5bf9\u5e94\u4e00\u4e2a\u5355\u5143\u683c\u3002\u5728Web\u6d4f\u89c8\u5668\u4e2d\u6253\u5f00Jupyter\uff0c\u7136\u540e\u9009\u62e9\u53f3\u4e0a\u65b9\u7684New\u6309\u94ae\uff0c\u7136\u540e\u9009\u62e9Python 3\u3002<\/p>\n<ul class=\"post-ul\">http:\/\/&lt;\u4eee\u60f3\u30de\u30b7\u30f3\u306e\u30d1\u30d6\u30ea\u30c3\u30afIP\u30a2\u30c9\u30ec\u30b9&gt;:8888<\/ul>\n<h3>\u8bf7\u5c06\u4ee5\u4e0b\u5185\u5bb9\u4ee5\u4e2d\u6587\u7ffb\u8bd1\uff0c\u5e76\u4e14\u53ea\u9700\u63d0\u4f9b\u4e00\u4e2a\u9009\u9879\uff1a<\/h3>\n<p>PYSPARK_SUBMIT_ARG<\/p>\n<p>\u6839\u636eSpark Streaming + Kafka Integration Guide\uff0c\u8fde\u63a5\u4eceSpark Streaming\u5230Kafka\u6240\u9700\u7684Jar\u6587\u4ef6\u6709\u4e24\u4e2a\uff0cScala\u7684Jar\u6587\u4ef6\u975e\u5e38\u4e25\u683c\u3002\u8fd9\u4e24\u4e2a\u6587\u4ef6\u5206\u522b\u662fspark-streaming-kafka-0-8\uff08\u9002\u7528\u4e8eKafka 0.8.2.1\u53ca\u4ee5\u4e0a\u7248\u672c\uff09\u548cspark-streaming-kafka-0-10\uff08\u9002\u7528\u4e8eKafka 0.10\u53ca\u4ee5\u4e0a\u7248\u672c\uff09\u3002\u867d\u7136\u6211\u4eec\u6240\u4f7f\u7528\u7684Kafka\u7248\u672c\u662f0.10.2.1\uff0c\u4f46\u6211\u4eec\u5c06\u4f7f\u7528\u652f\u6301Python\u7684spark-streaming-kafka-0-8\u3002<\/p>\n<p>\u6bcf\u4e2a\u7248\u672c\u7684\u540d\u79f0\u5e94\u5982\u4e0b\u6240\u793a\uff1aspark-streaming-kafka-&lt;Kafka\u7248\u672c&gt;_&lt;Scala\u7248\u672c&gt;:&lt;Spark\u7248\u672c&gt;\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"kn\">import<\/span> <span class=\"nn\">os<\/span>\r\n<span class=\"n\">os<\/span><span class=\"p\">.<\/span><span class=\"n\">environ<\/span><span class=\"p\">[<\/span><span class=\"s\">'PYSPARK_SUBMIT_ARGS'<\/span><span class=\"p\">]<\/span> <span class=\"o\">=<\/span> <span class=\"s\">'--packages org.apache.spark:spark-streaming-kafka-0-8_2.11:2.1.1 pyspark-shell'<\/span>\r\n<\/code><\/pre>\n<h3>\u9b54\u6cd5\u6307\u4ee4<\/h3>\n<p>\u4f7f\u7528Jupyter\u7684\u9b54\u672f\u547d\u4ee4\u5b89\u88c5kafka-python\u5305\u3002<\/p>\n<pre class=\"post-pre\"><code>!pip install kafka-python\r\n<\/code><\/pre>\n<h3>\u5bfc\u5165<\/h3>\n<p>\u5bfc\u5165Spark Streaming\u548cKafka\u6240\u9700\u7684\u5305\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"kn\">import<\/span> <span class=\"nn\">json<\/span>\r\n<span class=\"kn\">import<\/span> <span class=\"nn\">pytz<\/span>\r\n<span class=\"kn\">from<\/span> <span class=\"nn\">datetime<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">datetime<\/span>\r\n<span class=\"kn\">from<\/span> <span class=\"nn\">pyspark<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">SparkContext<\/span>\r\n<span class=\"kn\">from<\/span> <span class=\"nn\">pyspark.streaming<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">StreamingContext<\/span>\r\n<span class=\"kn\">from<\/span> <span class=\"nn\">pyspark.streaming.kafka<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">KafkaUtils<\/span>\r\n<span class=\"kn\">from<\/span> <span class=\"nn\">pyspark.sql<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">SparkSession<\/span><span class=\"p\">,<\/span> <span class=\"n\">Row<\/span>\r\n<span class=\"kn\">from<\/span> <span class=\"nn\">pyspark.sql.functions<\/span> <span class=\"kn\">import<\/span> <span class=\"o\">*<\/span>\r\n<span class=\"kn\">from<\/span> <span class=\"nn\">pyspark.sql.types<\/span> <span class=\"kn\">import<\/span> <span class=\"o\">*<\/span>\r\n\r\n<span class=\"kn\">from<\/span> <span class=\"nn\">kafka<\/span> <span class=\"kn\">import<\/span> <span class=\"n\">KafkaProducer<\/span>\r\n<\/code><\/pre>\n<h3>Spark\u7684\u4e0a\u4e0b\u6587<\/h3>\n<p>\u4eceSpark 2.x\u5f00\u59cb\uff0cSpark\u7684\u4e0a\u4e0b\u6587\u53d8\u5f97\u66f4\u52a0\u590d\u6742\uff0c\u4f46\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528SparkSession.builder\u4f5c\u4e3a\u5165\u53e3\u70b9\u3002\u6211\u4eec\u53ef\u4ee5\u57281\u5206\u949f\u7684\u6279\u5904\u7406\u95f4\u9694\u5185\u521b\u5efaStreamingContext\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"n\">spark<\/span> <span class=\"o\">=<\/span> <span class=\"p\">(<\/span>\r\n    <span class=\"n\">SparkSession<\/span>\r\n        <span class=\"p\">.<\/span><span class=\"n\">builder<\/span>\r\n        <span class=\"p\">.<\/span><span class=\"n\">getOrCreate<\/span><span class=\"p\">()<\/span>\r\n<span class=\"p\">)<\/span>\r\n\r\n<span class=\"n\">sc<\/span> <span class=\"o\">=<\/span> <span class=\"n\">spark<\/span><span class=\"p\">.<\/span><span class=\"n\">sparkContext<\/span>\r\n<span class=\"n\">ssc<\/span> <span class=\"o\">=<\/span> <span class=\"n\">StreamingContext<\/span><span class=\"p\">(<\/span><span class=\"n\">sc<\/span><span class=\"p\">,<\/span> <span class=\"mi\">60<\/span><span class=\"p\">)<\/span>\r\n<\/code><\/pre>\n<h3>Kafka \u751f\u4ea7\u8005<\/h3>\n<p>\u5b9a\u4e49Kafka\u4ee3\u7406\u670d\u52a1\u5668\u5217\u8868\u3001\u8f93\u5165\u548c\u8f93\u51fa\u7684\u4e3b\u9898\u540d\u79f0\u3002\u4e3a\u4e86\u5c06\u7a97\u53e3\u805a\u5408\u7ed3\u679c\u8f93\u51fa\u5230Kafka\u4e3b\u9898\uff0c\u8fd8\u9700\u8981\u521b\u5efa\u751f\u4ea7\u8005\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"n\">brokers<\/span> <span class=\"o\">=<\/span> <span class=\"s\">\"&lt;Kafka Broker\u306eIP\u30a2\u30c9\u30ec\u30b9&gt;:9092\"<\/span>\r\n<span class=\"n\">sourceTopic<\/span> <span class=\"o\">=<\/span> <span class=\"s\">\"sensortag\"<\/span>\r\n<span class=\"n\">sinkTopic<\/span> <span class=\"o\">=<\/span> <span class=\"s\">\"sensortag-sink\"<\/span>\r\n\r\n<span class=\"n\">producer<\/span> <span class=\"o\">=<\/span> <span class=\"n\">KafkaProducer<\/span><span class=\"p\">(<\/span><span class=\"n\">bootstrap_servers<\/span><span class=\"o\">=<\/span><span class=\"n\">brokers<\/span><span class=\"p\">,<\/span>\r\n                         <span class=\"n\">value_serializer<\/span><span class=\"o\">=<\/span><span class=\"k\">lambda<\/span> <span class=\"n\">v<\/span><span class=\"p\">:<\/span> <span class=\"n\">json<\/span><span class=\"p\">.<\/span><span class=\"n\">dumps<\/span><span class=\"p\">(<\/span><span class=\"n\">v<\/span><span class=\"p\">).<\/span><span class=\"n\">encode<\/span><span class=\"p\">(<\/span><span class=\"s\">'utf-8'<\/span><span class=\"p\">))<\/span>\r\n<\/code><\/pre>\n<h3>\u7a97\u53e3\u603b\u8ba1 j\u00ec)<\/h3>\n<p>\u8fd9\u662f\u5904\u7406\u672c\u6b21\u811a\u672c\u4e3b\u8981\u64cd\u4f5c\u7684\u51fd\u6570\u3002\u5b83\u5c06\u5e94\u7528StructType\u6a21\u5f0f\u5230\u8f6c\u6362Kafka\u7684JSON\u4e3aRDD\u7684DataFrame\uff0c\u5e76\u521b\u5efaDataFrame\u3002\u4f7f\u7528DataFrame\u7684\u7a97\u53e3\u805a\u5408\u51fd\u6570\uff0c\u57282\u5206\u949f\u7a97\u53e3\u5185\u8ba1\u7b97\u5468\u56f4\u6e29\u5ea6(ambient)\u548c\u6e7f\u5ea6(rh)\u7684\u5e73\u5747\u503c\u3002<\/p>\n<p>\u4e3a\u4e86\u4f7f\u7a97\u53e3\u805a\u5408\u7684\u7ed3\u679c\u66f4\u6613\u4e8e\u7406\u89e3\uff0cDataFrame\u5728\u5904\u7406\u8fc7\u7a0b\u4e2d\u5220\u9664\u4e86\u65f6\u533a\uff0c\u5e76\u6dfb\u52a0\u4e86 Asia\/Tokyo \u65f6\u533a\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"k\">def<\/span> <span class=\"nf\">windowAverage<\/span><span class=\"p\">(<\/span><span class=\"n\">rdd<\/span><span class=\"p\">):<\/span>\r\n    <span class=\"n\">schema<\/span> <span class=\"o\">=<\/span> <span class=\"n\">StructType<\/span><span class=\"p\">([<\/span>\r\n        <span class=\"n\">StructField<\/span><span class=\"p\">(<\/span><span class=\"s\">'ambient'<\/span><span class=\"p\">,<\/span> <span class=\"n\">DoubleType<\/span><span class=\"p\">(),<\/span> <span class=\"bp\">True<\/span><span class=\"p\">),<\/span>\r\n        <span class=\"n\">StructField<\/span><span class=\"p\">(<\/span><span class=\"s\">'bid'<\/span><span class=\"p\">,<\/span> <span class=\"n\">StringType<\/span><span class=\"p\">(),<\/span> <span class=\"bp\">True<\/span><span class=\"p\">),<\/span>\r\n        <span class=\"n\">StructField<\/span><span class=\"p\">(<\/span><span class=\"s\">'humidity'<\/span><span class=\"p\">,<\/span> <span class=\"n\">DoubleType<\/span><span class=\"p\">(),<\/span> <span class=\"bp\">True<\/span><span class=\"p\">),<\/span>\r\n        <span class=\"n\">StructField<\/span><span class=\"p\">(<\/span><span class=\"s\">'objecttemp'<\/span><span class=\"p\">,<\/span> <span class=\"n\">DoubleType<\/span><span class=\"p\">(),<\/span> <span class=\"bp\">True<\/span><span class=\"p\">),<\/span>\r\n        <span class=\"n\">StructField<\/span><span class=\"p\">(<\/span><span class=\"s\">'rh'<\/span><span class=\"p\">,<\/span> <span class=\"n\">DoubleType<\/span><span class=\"p\">(),<\/span> <span class=\"bp\">True<\/span><span class=\"p\">),<\/span>\r\n        <span class=\"n\">StructField<\/span><span class=\"p\">(<\/span><span class=\"s\">'time'<\/span><span class=\"p\">,<\/span> <span class=\"n\">TimestampType<\/span><span class=\"p\">(),<\/span> <span class=\"bp\">True<\/span><span class=\"p\">),<\/span>\r\n    <span class=\"p\">])<\/span>\r\n\r\n    <span class=\"n\">streamingInputDF<\/span> <span class=\"o\">=<\/span> <span class=\"n\">spark<\/span><span class=\"p\">.<\/span><span class=\"n\">createDataFrame<\/span><span class=\"p\">(<\/span>\r\n        <span class=\"n\">rdd<\/span><span class=\"p\">,<\/span> <span class=\"n\">schema<\/span><span class=\"o\">=<\/span><span class=\"n\">schema<\/span>\r\n    <span class=\"p\">)<\/span>\r\n\r\n    <span class=\"k\">print<\/span><span class=\"p\">(<\/span><span class=\"s\">'1\u5206\u30d0\u30c3\u30c1\u306eDataFrame'<\/span><span class=\"p\">)<\/span>\r\n    <span class=\"n\">streamingInputDF<\/span><span class=\"p\">.<\/span><span class=\"n\">show<\/span><span class=\"p\">(<\/span><span class=\"n\">truncate<\/span><span class=\"o\">=<\/span><span class=\"bp\">False<\/span><span class=\"p\">)<\/span>\r\n\r\n    <span class=\"n\">averageDF<\/span> <span class=\"o\">=<\/span> <span class=\"p\">(<\/span>\r\n        <span class=\"n\">streamingInputDF<\/span>\r\n            <span class=\"p\">.<\/span><span class=\"n\">groupBy<\/span><span class=\"p\">(<\/span>\r\n                <span class=\"n\">streamingInputDF<\/span><span class=\"p\">.<\/span><span class=\"n\">bid<\/span><span class=\"p\">,<\/span>\r\n                <span class=\"n\">window<\/span><span class=\"p\">(<\/span><span class=\"s\">\"time\"<\/span><span class=\"p\">,<\/span> <span class=\"s\">\"2 minute\"<\/span><span class=\"p\">))<\/span>\r\n            <span class=\"p\">.<\/span><span class=\"n\">avg<\/span><span class=\"p\">(<\/span><span class=\"s\">\"ambient\"<\/span><span class=\"p\">,<\/span><span class=\"s\">\"rh\"<\/span><span class=\"p\">)<\/span>   \r\n    <span class=\"p\">)<\/span>\r\n\r\n    <span class=\"n\">sinkRDD<\/span> <span class=\"o\">=<\/span> <span class=\"n\">averageDF<\/span><span class=\"p\">.<\/span><span class=\"n\">rdd<\/span><span class=\"p\">.<\/span><span class=\"nb\">map<\/span><span class=\"p\">(<\/span><span class=\"k\">lambda<\/span> <span class=\"n\">x<\/span><span class=\"p\">:<\/span> <span class=\"p\">{<\/span><span class=\"s\">'bid'<\/span><span class=\"p\">:<\/span> <span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"mi\">0<\/span><span class=\"p\">],<\/span> \r\n                                            <span class=\"s\">'time'<\/span><span class=\"p\">:<\/span> <span class=\"n\">pytz<\/span><span class=\"p\">.<\/span><span class=\"n\">utc<\/span><span class=\"p\">.<\/span><span class=\"n\">localize<\/span><span class=\"p\">(<\/span><span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"mi\">1<\/span><span class=\"p\">][<\/span><span class=\"s\">'end'<\/span><span class=\"p\">]).<\/span><span class=\"n\">astimezone<\/span><span class=\"p\">(<\/span><span class=\"n\">pytz<\/span><span class=\"p\">.<\/span><span class=\"n\">timezone<\/span><span class=\"p\">(<\/span><span class=\"s\">'Asia\/Tokyo'<\/span><span class=\"p\">)).<\/span><span class=\"n\">isoformat<\/span><span class=\"p\">(),<\/span> \r\n                                            <span class=\"s\">'ambient'<\/span><span class=\"p\">:<\/span> <span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"mi\">2<\/span><span class=\"p\">],<\/span> \r\n                                            <span class=\"s\">'rh'<\/span><span class=\"p\">:<\/span> <span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"mi\">3<\/span><span class=\"p\">]})<\/span>\r\n    <span class=\"k\">if<\/span> <span class=\"ow\">not<\/span> <span class=\"n\">sinkRDD<\/span><span class=\"p\">.<\/span><span class=\"n\">isEmpty<\/span><span class=\"p\">():<\/span>\r\n        <span class=\"k\">print<\/span><span class=\"p\">(<\/span><span class=\"s\">'2\u5206\u30a6\u30a3\u30f3\u30c9\u30a6\u306e\u5e73\u5747\u5024'<\/span><span class=\"p\">)<\/span>\r\n        <span class=\"n\">sinkList<\/span> <span class=\"o\">=<\/span> <span class=\"n\">sinkRDD<\/span><span class=\"p\">.<\/span><span class=\"n\">collect<\/span><span class=\"p\">()<\/span>\r\n        <span class=\"k\">print<\/span><span class=\"p\">(<\/span><span class=\"n\">sinkList<\/span><span class=\"p\">)<\/span>\r\n\r\n        <span class=\"k\">for<\/span> <span class=\"n\">sink<\/span> <span class=\"ow\">in<\/span> <span class=\"n\">sinkList<\/span><span class=\"p\">:<\/span>\r\n            <span class=\"n\">producer<\/span><span class=\"p\">.<\/span><span class=\"n\">send<\/span><span class=\"p\">(<\/span><span class=\"n\">sinkTopic<\/span><span class=\"p\">,<\/span> <span class=\"n\">sink<\/span><span class=\"p\">)<\/span>\r\n<\/code><\/pre>\n<h3>\u521b\u5efaKafka\u6d41\u4e2d\u7684\u6570\u636e\u6d41\u3002<\/h3>\n<p>\u6307\u5b9aKafka Broker\u7684IP\u5730\u5740\u548c\u4eceRaspberry Pi 3\u53d1\u9001SensorTag\u7684JSON\u5b57\u7b26\u4e32\u7684\u4e3b\u9898\u3002\u5c06JSON\u5b57\u7b26\u4e32\u9010\u884c\u53cd\u5e8f\u5217\u5316\u5e76\u521b\u5efapyspark.sql.Row\u3002\u5c06\u65f6\u95f4\u5b57\u6bb5\u4eceUNIX\u65f6\u95f4\u6233\u8f6c\u6362\u4e3aPython\u7684datetime\uff0c\u5e76\u5220\u9664\u65f6\u533a\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"n\">kafkaStream<\/span> <span class=\"o\">=<\/span> <span class=\"n\">KafkaUtils<\/span><span class=\"p\">.<\/span><span class=\"n\">createDirectStream<\/span><span class=\"p\">(<\/span>\r\n    <span class=\"n\">ssc<\/span><span class=\"p\">,<\/span> <span class=\"p\">[<\/span><span class=\"n\">sourceTopic<\/span><span class=\"p\">],<\/span> <span class=\"p\">{<\/span><span class=\"s\">\"metadata.broker.list\"<\/span><span class=\"p\">:<\/span><span class=\"n\">brokers<\/span><span class=\"p\">})<\/span>\r\n\r\n<span class=\"n\">rowStream<\/span> <span class=\"o\">=<\/span> <span class=\"p\">(<\/span>\r\n    <span class=\"n\">kafkaStream<\/span>\r\n        <span class=\"p\">.<\/span><span class=\"nb\">map<\/span><span class=\"p\">(<\/span><span class=\"k\">lambda<\/span> <span class=\"n\">line<\/span><span class=\"p\">:<\/span> <span class=\"n\">json<\/span><span class=\"p\">.<\/span><span class=\"n\">loads<\/span><span class=\"p\">(<\/span><span class=\"n\">line<\/span><span class=\"p\">[<\/span><span class=\"mi\">1<\/span><span class=\"p\">]))<\/span>\r\n        <span class=\"p\">.<\/span><span class=\"nb\">map<\/span><span class=\"p\">(<\/span><span class=\"k\">lambda<\/span> <span class=\"n\">x<\/span><span class=\"p\">:<\/span> <span class=\"n\">Row<\/span><span class=\"p\">(<\/span>\r\n            <span class=\"n\">ambient<\/span><span class=\"o\">=<\/span><span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"s\">'ambient'<\/span><span class=\"p\">],<\/span>\r\n            <span class=\"n\">bid<\/span><span class=\"o\">=<\/span><span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"s\">'bid'<\/span><span class=\"p\">],<\/span>\r\n            <span class=\"n\">humidity<\/span><span class=\"o\">=<\/span><span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"s\">'humidity'<\/span><span class=\"p\">],<\/span>\r\n            <span class=\"n\">objecttemp<\/span><span class=\"o\">=<\/span><span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"s\">'objecttemp'<\/span><span class=\"p\">],<\/span>\r\n            <span class=\"n\">rh<\/span><span class=\"o\">=<\/span><span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"s\">'rh'<\/span><span class=\"p\">],<\/span>\r\n            <span class=\"n\">time<\/span><span class=\"o\">=<\/span><span class=\"n\">datetime<\/span><span class=\"p\">.<\/span><span class=\"n\">fromtimestamp<\/span><span class=\"p\">(<\/span><span class=\"n\">x<\/span><span class=\"p\">[<\/span><span class=\"s\">'time'<\/span><span class=\"p\">]).<\/span><span class=\"n\">replace<\/span><span class=\"p\">(<\/span><span class=\"n\">tzinfo<\/span><span class=\"o\">=<\/span><span class=\"bp\">None<\/span><span class=\"p\">),<\/span>\r\n        <span class=\"p\">)<\/span>\r\n    <span class=\"p\">)<\/span>\r\n<span class=\"p\">)<\/span>\r\n\r\n<span class=\"n\">rowStream<\/span><span class=\"p\">.<\/span><span class=\"n\">foreachRDD<\/span><span class=\"p\">(<\/span><span class=\"n\">windowAverage<\/span><span class=\"p\">)<\/span>\r\n<\/code><\/pre>\n<h3>\u5f00\u59cbStreamingContext<\/h3>\n<p>\u6700\u5f8c\uff0c\u542f\u52a8StreamingContext\u5e76\u7b49\u5f85\u7a0b\u5e8f\u505c\u6b62\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"n\">ssc<\/span><span class=\"p\">.<\/span><span class=\"n\">start<\/span><span class=\"p\">()<\/span>\r\n<span class=\"n\">ssc<\/span><span class=\"p\">.<\/span><span class=\"n\">awaitTermination<\/span><span class=\"p\">()<\/span>\r\n<\/code><\/pre>\n<h2>\u8fd0\u884c\u811a\u672c<\/h2>\n<p>\u5728\u6811\u8393\u6d3e3\u4e0a\u6267\u884cPart 2\u4e2d\u7f16\u5199\u7684Python\u811a\u672c\u3002<\/p>\n<h3>\u8f93\u51fa\u7ed3\u679c (sh\u016b ch\u016b ji\u00e9 gu\u01d2)<\/h3>\n<p>\u4ee5\u4e0b\u662f\u663e\u793a\u7684\u8f93\u51fa\u3002\u4e0eDataFrame\u7684\u8f93\u51fa\u4e0d\u540c\uff0c\u7a97\u53e3\u805a\u5408\u7684\u7ed3\u679c\u9644\u5e26\u4e86\u65f6\u533a\u3002<\/p>\n<pre class=\"post-pre\"><code>1\u5206\u30d0\u30c3\u30c1\u306eDataFrame\r\n+--------+-----------------+-----------------+----------+---------------+---------------------+\r\n|ambient |bid              |humidity         |objecttemp|rh             |time                 |\r\n+--------+-----------------+-----------------+----------+---------------+---------------------+\r\n|28.78125|B0:B4:48:BD:DA:03|28.72314453125   |22.96875  |75.714111328125|2017-08-01 23:44:03.0|\r\n|28.78125|B0:B4:48:BD:DA:03|28.72314453125   |22.90625  |75.714111328125|2017-08-01 23:44:13.0|\r\n|28.75   |B0:B4:48:BD:DA:03|28.72314453125   |22.875    |75.616455078125|2017-08-01 23:44:23.0|\r\n|28.75   |B0:B4:48:BD:DA:03|28.69293212890625|23.15625  |75.616455078125|2017-08-01 23:44:34.0|\r\n|28.75   |B0:B4:48:BD:DA:03|28.7030029296875 |23.03125  |75.616455078125|2017-08-01 23:44:44.0|\r\n|28.75   |B0:B4:48:BD:DA:03|28.69293212890625|23.125    |75.616455078125|2017-08-01 23:44:55.0|\r\n+--------+-----------------+-----------------+----------+---------------+---------------------+\r\n\r\n2\u5206\u30a6\u30a3\u30f3\u30c9\u30a6\u306e\u5e73\u5747\u5024\r\n<span class=\"o\">[{<\/span><span class=\"s1\">'bid'<\/span>: <span class=\"s1\">'B0:B4:48:BD:DA:03'<\/span>, <span class=\"s1\">'time'<\/span>: <span class=\"s1\">'2017-08-02T08:46:00+09:00'<\/span>, <span class=\"s1\">'ambient'<\/span>: 28.760416666666668, <span class=\"s1\">'rh'<\/span>: 75.64900716145833<span class=\"o\">}]<\/span>\r\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>\u7ec8\u4e8e\u51c6\u5907\u597d\u6267\u884c\u6807\u9898\u4ee3\u7801\u4e86\u3002\u5c06SensorTag\u7684\u6570\u636e\u53d1\u9001\u5230Kafka\uff0c\u5e76\u4f7f\u7528PySpark Streaming [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46754","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python\u4e0eSensorTag\u3001Kafka\u3001Spark Streaming\u7684\u6d41\u5904\u7406- \u7b2c6\u90e8\u5206: \u5728Jupyter\u4e2d\u4f7f\u7528PySpark Streaming\u8fdb\u884c\u7a97\u53e3\u805a\u5408 - Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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