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表1 Session对应的接口的简要介绍及对应参数 方法 说明 Session(String host, int rpcPort) Session(String host, String rpcPort, String username, String password) Session
public Tuple3<String, String, Integer> call(String s) throws Exception { //按逗号分隔一行数据 String[] tokens
Spark把这个叫做流水线（pipeline）优化。 Transformation和Action（RDD的操作） 对RDD的操作包含Transformation（返回值还是一个RDD）和Action（返回值不是一个RDD）两种。RDD的操作流程如图2所示。
JavaDStream<String> lines = messages.map(new Function<ConsumerRecord<String, String>, String>() { @Override public String call(ConsumerRecord
String, Integer, String, String>, RowData>() { @Override public RowData map(Tuple5<String, String,
String, String, String>> data = jsc.textFile(args[0]).map( new Function<String, Tuple4<String, String, String, String>>
bootstrapServers = args[0]; String subscribeType = args[1]; String topics = args[2]; String protocol = args[3]; String service
private static class MyProcessorSupplier implements ProcessorSupplier<String, String> { @Override public Processor<String, String> get
示例代片段参考如下： private void queryData(String databaseName, String tableName) throws Exception { String querySql1 = "select * from " + databaseName
表1 Session对应的接口的简要介绍及对应参数 方法 说明 Session(String host, int rpcPort) Session(String host, String rpcPort, String username, String password) Session
> topicsSet = new HashSet<String>(Arrays.asList(topics.split(","))); HashMap<String, String> kafkaParams = new HashMap<String, String
StringDecoder.class, kafkaParams, topicSet).map( new Function<Tuple2<String, String>, String>() { public String call(Tuple2<String
public Tuple3<String, String, Integer> call(String s) throws Exception { //按逗号分割一行数据 String[] tokens
public Tuple3<String, String, Integer> call(String s) throws Exception { //按逗号分割一行数据 String[] tokens
public Tuple3<String, String, Integer> call(String s) throws Exception { //按逗号分隔一行数据 String[] tokens
public Tuple3<String, String, Integer> call(String s) throws Exception { //按逗号分割一行数据 String[] tokens = s.split
private void modifyTable(String url, String tableName, String jsonHTD) { LOG.info("Start modify table."); String endpoint = "/" + tableName
[String, String]]() { @throws[Exception] override def map(str: String): Tuple2[String, String] = { val words = str.split
map(new MapFunction<String, Tuple2<String, String>>() { @Override public Tuple2<String, String> map(String
map(new MapFunction<String, Tuple2<String, String>>() { @Override public Tuple2<String, String> map(String
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