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Spark应用_PageView_UserView_HotChannel
Spark应用_PageView_UserView_HotChannel
一、PV
对某一个页面的访问量，在页面中进行刷新一次就是一次pv
PV {p1, (u1,u2,u3,u1,u2,u4…)} 对同一个页面的浏览量进行统计，用户可以重复
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public class PV_ANA {
public static void main(String[] args) {
SparkConf conf = new SparkConf()
.setAppName("PV_ANA")
.setMaster("local")
.set("spark.testing.memory", "2147480000");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> logRDD = sc.textFile("f:/userLog");
String str = "View";
final Broadcast<String> broadcast = sc.broadcast(str);
pvAnalyze(logRDD, broadcast);
}
private static void pvAnalyze(JavaRDD<String> logRDD,
final Broadcast<String> broadcast) {
JavaRDD<String> filteredLogRDD = logRDD.filter
(new Function<String, Boolean>() {
private static final long serialVersionUID = 1L;
public Boolean call(String s) throws Exception {
String actionParam = broadcast.value();
String action = s.split("\t")[5];
return actionParam.equals(action);
}
});
JavaPairRDD<String, String> pariLogRDD = filteredLogRDD.mapToPair
(new PairFunction<String, String, String>() {
private static final long serialVersionUID = 1L;
public Tuple2<String, String> call(String s)
throws Exception {
String pageId = s.split("\t")[3];
return new Tuple2<String, String>(pageId, null);
}
});
pariLogRDD.groupByKey().foreach(new VoidFunction
<Tuple2<String, Iterable<String>>>() {
private static final long serialVersionUID = 1L;
public void call(Tuple2<String, Iterable<String>> tuple)
throws Exception {
String pageId = tuple._1;
Iterator<String> iterator = tuple._2.iterator();
long count = 0L;
while (iterator.hasNext()) {
iterator.next();
count++;
}
System.out.println("PAGEID:" + pageId + "\t PV_COUNT:" + count);
}
});
}
}
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二、UV
UV {p1, (u1,u2,u3,u4,u5…)} 对一个页面有多少用户访问，用户不可以重复
【方式一】
【流程图】
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public class UV_ANA {
public static void main(String[] args) {
SparkConf conf = new SparkConf()
.setAppName("UV_ANA")
.setMaster("local")
.set("spark.testing.memory", "2147480000");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> logRDD = sc.textFile("f:/userLog");
String str = "View";
final Broadcast<String> broadcast = sc.broadcast(str);
uvAnalyze(logRDD, broadcast);
}
private static void uvAnalyze(JavaRDD<String> logRDD,
final Broadcast<String> broadcast) {
JavaRDD<String> filteredLogRDD = logRDD.filter
(new Function<String, Boolean>() {
private static final long serialVersionUID = 1L;
public Boolean call(String s) throws Exception {
String actionParam = broadcast.value();
String action = s.split("\t")[5];
return actionParam.equals(action);
}
});
JavaPairRDD<String, String> pairLogRDD = filteredLogRDD.mapToPair
(new PairFunction<String, String, String>() {
private static final long serialVersionUID = 1L;
public Tuple2<String, String> call(String s) throws Exception {
String pageId = s.split("\t")[3];
String userId = s.split("\t")[2];
return new Tuple2<String, String>(pageId, userId);
}
});
pairLogRDD.groupByKey().foreach(new VoidFunction
<Tuple2<String, Iterable<String>>>() {
private static final long serialVersionUID = 1L;
public void call(Tuple2<String, Iterable<String>> tuple)
throws Exception {
String pageId = tuple._1;
Iterator<String> iterator = tuple._2.iterator();
Set<String> userSets = new HashSet<>();
while (iterator.hasNext()) {
String userId = iterator.next();
userSets.add(userId);
}
System.out.println("PAGEID:" + pageId + "\t " +
"UV_COUNT:" + userSets.size());
}
});
}
}
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【方式二】
【流程图】
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public class UV_ANAoptz {
public static void main(String[] args) {
SparkConf conf = new SparkConf()
.setAppName("UV_ANAoptz")
.setMaster("local")
.set("spark.testing.memory", "2147480000");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> logRDD = sc.textFile("f:/userLog");
String str = "View";
final Broadcast<String> broadcast = sc.broadcast(str);
uvAnalyzeOptz(logRDD, broadcast);
}
private static void uvAnalyzeOptz(JavaRDD<String> logRDD,
final Broadcast<String> broadcast) {
JavaRDD<String> filteredLogRDD = logRDD.filter
(new Function<String, Boolean>() {
private static final long serialVersionUID = 1L;
public Boolean call(String s) throws Exception {
String actionParam = broadcast.value();
String action = s.split("\t")[5];
return actionParam.equals(action);
}
});
JavaPairRDD<String, String> pairRDD = filteredLogRDD.mapToPair
(new PairFunction<String, String, String>() {
private static final long serialVersionUID = 1L;
public Tuple2<String, String> call(String s)
throws Exception {
String pageId = s.split("\t")[3];
String userId = s.split("\t")[2];
return new Tuple2<String, String>(pageId + "_" +
userId, null);
}
});
JavaPairRDD<String, Iterable<String>> groupUp2LogRDD = pairRDD.groupByKey();
Map<String, Object> countByKey = groupUp2LogRDD.mapToPair
(new PairFunction<Tuple2<String, Iterable<String>>,
String, String>() {
private static final long serialVersionUID = 1L;
public Tuple2<String, String> call(Tuple2<String,
Iterable<String>> tuple)
throws Exception {
String pu = tuple._1;
String[] spilted = pu.split("_");
String pageId = spilted[0];
return new Tuple2<String, String>(pageId, null);
}
}).countByKey();
Set<String> keySet = countByKey.keySet();
for (String key : keySet) {
System.out.println("PAGEID:" + key + "\tUV_COUNT：" +
countByKey.get(key));
}
}
}
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三、热门版块下用户访问的数量
统计出热门版块中最活跃的top3用户。
【方式一】
【流程图】
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public class HotChannel {
public static void main(String[] args) {
SparkConf conf = new SparkConf()
.setAppName("HotChannel")
.setMaster("local")
.set("spark.testing.memory", "2147480000");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> logRDD = sc.textFile("f:/userLog");
String str = "View";
final Broadcast<String> broadcast = sc.broadcast(str);
hotChannel(sc, logRDD, broadcast);
}
private static void hotChannel(JavaSparkContext sc, JavaRDD<String> logRDD,
final Broadcast<String> broadcast) {
JavaRDD<String> filteredLogRDD = logRDD.filter
(new Function<String, Boolean>() {
private static final long serialVersionUID = 1L;
public Boolean call(String v1) throws Exception {
String actionParam = broadcast.value();
String action = v1.split("\t")[5];
return actionParam.equals(action);
}
});
JavaPairRDD<String, String> channel2nullRDD = filteredLogRDD.mapToPair
(new PairFunction<String, String, String>() {
private static final long serialVersionUID = 1L;
public Tuple2<String, String> call(String s) throws Exception {
String channel = s.split("\t")[4];
return new Tuple2<String, String>(channel, null);
}
});
Map<String, Object> channelPVMap = channel2nullRDD.countByKey();
Set<String> keySet = channelPVMap.keySet();
List<SortObj> channels = new ArrayList<>();
for (String channel : keySet) {
channels.add(new SortObj(channel, Integer.valueOf
(channelPVMap.get(channel) + "")));
}
Collections.sort(channels, new Comparator<SortObj>() {
public int compare(SortObj o1, SortObj o2) {
return o2.getValue() - o1.getValue();
}
});
List<String> hotChannelList = new ArrayList<>();
for (int i = 0; i < 3; i++) {
hotChannelList.add(channels.get(i).getKey());
}
for (String channel : hotChannelList) {
System.out.println("channel:" + channel);
}
final Broadcast<List<String>> hotChannelListBroadcast =
sc.broadcast(hotChannelList);
JavaRDD<String> filterRDD = logRDD.filter(new Function<String, Boolean>() {
public Boolean call(String s) throws Exception {
List<String> hostChannels = hotChannelListBroadcast.value();
String channel = s.split("\t")[4];
String userId = s.split("\t")[2];
return hostChannels.contains(channel) && !"null".equals(userId);
}
});
JavaPairRDD<String, String> channel2UserRDD = filterRDD.mapToPair
(new PairFunction<String, String, String>() {
public Tuple2<String, String> call(String s)
throws Exception {
String[] splited = s.split("\t");
String channel = splited[4];
String userId = splited[2];
return new Tuple2<String, String>(channel, userId);
}
});
channel2UserRDD.groupByKey().foreach(new VoidFunction
<Tuple2<String, Iterable<String>>>() {
public void call(Tuple2<String, Iterable<String>> tuple)
throws Exception {
String channel = tuple._1;
Iterator<String> iterator = tuple._2.iterator();
Map<String, Integer> userNumMap = new HashMap<>();
while (iterator.hasNext()) {
String userId = iterator.next();
Integer count = userNumMap.get(userId);
if (count == null) {
count = 1;
} else {
count++;
}
userNumMap.put(userId, count);
}
List<SortObj> lists = new ArrayList<>();
Set<String> keys = userNumMap.keySet();
for (String key : keys) {
lists.add(new SortObj(key, userNumMap.get(key)));
}
Collections.sort(lists, new Comparator<SortObj>() {
public int compare(SortObj O1, SortObj O2) {
return O2.getValue() - O1.getValue();
}
});
System.out.println("HOT_CHANNEL:" + channel);
for (int i = 0; i < 3; i++) {
SortObj sortObj = lists.get(i);
System.out.println(sortObj.getKey() + "=="
+ sortObj.getValue());
}
}
});
}
}
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【方式二】
【流程图】
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public class HotChannelOpz {
public static void main(String[] args) {
SparkConf conf = new SparkConf()
.setAppName("hotChannelOpz")
.setMaster("local")
.set("spark.testing.memory", "2147480000");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> logRDD = sc.textFile("f:/userLog");
String str = "View";
final Broadcast<String> broadcast = sc.broadcast(str);
hotChannelOpz(sc, logRDD, broadcast);
}
private static void hotChannelOpz(JavaSparkContext sc, JavaRDD<String> logRDD,
final Broadcast<String> broadcast) {
JavaRDD<String> filteredLogRDD = logRDD.filter
(new Function<String, Boolean>() {
private static final long serialVersionUID = 1L;
public Boolean call(String v1) throws Exception {
String actionParam = broadcast.value();
String action = v1.split("\t")[5];
return actionParam.equals(action);
}
});
JavaPairRDD<String, String> channel2nullRDD = filteredLogRDD.mapToPair
(new PairFunction<String, String, String>() {
private static final long serialVersionUID = 1L;
public Tuple2<String, String> call(String val)
throws Exception {
String channel = val.split("\t")[4];
return new Tuple2<String, String>(channel, null);
}
});
Map<String, Object> channelPVMap = channel2nullRDD.countByKey();
Set<String> keySet = channelPVMap.keySet();
List<SortObj> channels = new ArrayList<>();
for (String channel : keySet) {
channels.add(new SortObj(channel, Integer.valueOf
(channelPVMap.get(channel) + "")));
}
Collections.sort(channels, new Comparator<SortObj>() {
public int compare(SortObj o1, SortObj o2) {
return o2.getValue() - o1.getValue();
}
});
List<String> hotChannelList = new ArrayList<>();
for (int i = 0; i < 3; i++) {
hotChannelList.add(channels.get(i).getKey());
}
final Broadcast<List<String>> hotChannelListBroadcast =
sc.broadcast(hotChannelList);
JavaRDD<String> filtedRDD = logRDD.filter
(new Function<String, Boolean>() {
public Boolean call(String v1) throws Exception {
List<String> hostChannels = hotChannelListBroadcast.value();
String channel = v1.split("\t")[4];
String userId = v1.split("\t")[2];
return hostChannels.contains(channel) &&
!"null".equals(userId);
}
});
JavaPairRDD<String, String> user2ChannelRDD = filtedRDD.mapToPair
(new PairFunction<String, String, String>() {
private static final long serialVersionUID = 1L;
public Tuple2<String, String> call(String val)
throws Exception {
String[] splited = val.split("\t");
String userId = splited[2];
String channel = splited[4];
return new Tuple2<String, String>(userId, channel);
}
});
JavaPairRDD<String, String> userVistChannelsRDD =
user2ChannelRDD.groupByKey().
flatMapToPair(new PairFlatMapFunction
<Tuple2<String, Iterable<String>>, String, String>() {
private static final long serialVersionUID = 1L;
public Iterable<Tuple2<String, String>> call
(Tuple2<String, Iterable<String>> tuple)
throws Exception {
String userId = tuple._1;
Iterator<String> iterator = tuple._2.iterator();
Map<String, Integer> channelMap = new HashMap<>();
while (iterator.hasNext()) {
String channel = iterator.next();
Integer count = channelMap.get(channel);
if (count == null)
count = 1;
else
count++;
channelMap.put(channel, count);
}
List<Tuple2<String, String>> list = new ArrayList<>();
Set<String> keys = channelMap.keySet();
for (String channel : keys) {
Integer channelNum = channelMap.get(channel);
list.add(new Tuple2<String, String>(channel,
userId + "_" + channelNum));
}
return list;
}
});
userVistChannelsRDD.groupByKey().foreach(new VoidFunction
<Tuple2<String, Iterable<String>>>() {
public void call(Tuple2<String, Iterable<String>> tuple)
throws Exception {
String channel = tuple._1;
Iterator<String> iterator = tuple._2.iterator();
List<SortObj> list = new ArrayList<>();
while (iterator.hasNext()) {
String ucs = iterator.next();
String[] splited = ucs.split("_");
String userId = splited[0];
Integer num = Integer.valueOf(splited[1]);
list.add(new SortObj(userId, num));
}
Collections.sort(list, new Comparator<SortObj>() {
public int compare(SortObj o1, SortObj o2) {
return o2.getValue() - o1.getValue();
}
});
System.out.println("HOT_CHANNLE:" + channel);
for (int i = 0; i < 3; i++) {
SortObj sortObj = list.get(i);
System.out.println(sortObj.getKey() + "==="
+ sortObj.getValue());
}
}
});
}
}
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Spark
Spark应用_PageView_UserView_HotChannel
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