Spark's broadcast variables

Source: Internet
Author: User
Tags arrays split
private static void Broadcastops (Javasparkcontext SC) {//Load user table to Rdd javardd<string> Linesrdd = Sc.parallel
    Ize (Arrays.aslist ("1, 3, Zhang San, Hebei", "2, 1, John Doe, Beijing", "3, 0, Harry, Tianjin", "4, 1, Zhao Liu, Guangdong"));
    javardd<string> Sexlinerdd = sc.parallelize (Arrays.aslist ("1, Male", "0, female"));
    /** * Pull the rdd corresponding to the driver node * Use the appropriate data structure to load the broadcast variable */list<string> sexlist = Sexlinerdd.collect ();
    map<string, string> sexmap = new HashMap ();
        for (String sexline:sexlist) {string[] sexsplits = Sexline.split (",");
    Sexmap.put (Sexsplits[0], sexsplits[1]);
    } broadcast<map<string, string>> SEXMAPBC = Sc.broadcast (Sexmap);  javardd<string> Retrdd = (New function<string, string> () {@Override public String
            Call (String line) throws Exception {string[] splits = Line.split (",");
            if (splits = = NULL | | Splits.length < 4) {return null;
           } String sid = Splits[1].trim ();
            It is not recommended to call an external variable directly in transformation, but to get the external variable//string sName = sexmap.get (SID) from the broadcast variable;
            String sName = Sexmapbc.value (). Getordefault (SID, "Unknown");
        return splits[0] + "" + SName + "" + splits[2] + "" + splits[3 ";
Retrdd.foreach (STR-System.out.println (str)); }

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