├── target
└── classes
│ ├── log4j.properties
│ └── redis.properties
├── src
└── main
│ ├── resources
│ ├── log4j.properties
│ └── redis.properties
│ └── java
│ └── cn
│ └── xpleaf
│ └── bigdata
│ └── storm
│ ├── constants
│ └── JedisConstants.java
│ ├── statistic
│ ├── ConvertIPBolt.java
│ ├── StatisticTopology.java
│ └── StatisticBolt.java
│ └── utils
│ └── JedisUtil.java
├── .gitignore
├── README.md
├── storm-statistic.iml
├── pom.xml
└── LICENSE
/target/classes/log4j.properties:
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https://raw.githubusercontent.com/xpleaf/storm-statistic/HEAD/target/classes/log4j.properties
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/target/classes/redis.properties:
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https://raw.githubusercontent.com/xpleaf/storm-statistic/HEAD/target/classes/redis.properties
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/src/main/resources/log4j.properties:
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https://raw.githubusercontent.com/xpleaf/storm-statistic/HEAD/src/main/resources/log4j.properties
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/src/main/resources/redis.properties:
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https://raw.githubusercontent.com/xpleaf/storm-statistic/HEAD/src/main/resources/redis.properties
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/.gitignore:
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1 | # Compiled class file
2 | *.class
3 |
4 | # Log file
5 | *.log
6 |
7 | # BlueJ files
8 | *.ctxt
9 |
10 | # Mobile Tools for Java (J2ME)
11 | .mtj.tmp/
12 |
13 | # Package Files #
14 | *.jar
15 | *.war
16 | *.ear
17 | *.zip
18 | *.tar.gz
19 | *.rar
20 |
21 | # virtual machine crash logs, see http://www.java.com/en/download/help/error_hotspot.xml
22 | hs_err_pid*
23 |
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/README.md:
--------------------------------------------------------------------------------
1 | # storm-statistic
2 | The real time project of storm for counting the pv and uv of a web site.
3 |
4 | 对应我在51cto上发表的博文:http://blog.51cto.com/xpleaf/2104160
5 | 其基本架构如下:
6 | 
7 |
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/src/main/java/cn/xpleaf/bigdata/storm/constants/JedisConstants.java:
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1 | package cn.xpleaf.bigdata.storm.constants;
2 |
3 | /**
4 | * 专门用于存放Jedis的常量类
5 | */
6 | public interface JedisConstants {
7 |
8 | //表示jedis的服务器主机名
9 | String JEDIS_HOST = "jedis.host";
10 | //表示jedis的服务的端口
11 | String JEDIS_PORT = "jedis.port";
12 | //表示jedis的服务密码
13 | String JEDIS_PASSWORD = "jedis.password";
14 |
15 | //jedis连接池中最大的连接个数
16 | String JEDIS_MAX_TOTAL = "jedis.max.total";
17 | //jedis连接池中最大的空闲连接个数
18 | String JEDIS_MAX_IDLE = "jedis.max.idle";
19 | //jedis连接池中最小的空闲连接个数
20 | String JEDIS_MIN_IDLE = "jedis.min.idle";
21 |
22 | //jedis连接池最大的等待连接时间 ms值
23 | String JEDIS_MAX_WAIT_MILLIS = "jedis.max.wait.millis";
24 |
25 | }
26 |
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/src/main/java/cn/xpleaf/bigdata/storm/statistic/ConvertIPBolt.java:
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1 | package cn.xpleaf.bigdata.storm.statistic;
2 |
3 | import cn.xpleaf.bigdata.storm.utils.JedisUtil;
4 | import org.apache.storm.topology.BasicOutputCollector;
5 | import org.apache.storm.topology.OutputFieldsDeclarer;
6 | import org.apache.storm.topology.base.BaseBasicBolt;
7 | import org.apache.storm.tuple.Fields;
8 | import org.apache.storm.tuple.Tuple;
9 | import org.apache.storm.tuple.Values;
10 | import redis.clients.jedis.Jedis;
11 |
12 | /**
13 | * 日志数据预处理Bolt,实现功能:
14 | * 1.提取实现业务需求所需要的信息:ip地址、客户端唯一标识mid
15 | * 2.查询IP地址所属地,并发送到下一个Bolt
16 | */
17 | public class ConvertIPBolt extends BaseBasicBolt {
18 | @Override
19 | public void execute(Tuple input, BasicOutputCollector collector) {
20 | byte[] binary = input.getBinary(0);
21 | String line = new String(binary);
22 | String[] fields = line.split("\t");
23 |
24 | if(fields == null || fields.length < 10) {
25 | return;
26 | }
27 |
28 | // 获取ip和mid
29 | String ip = fields[1];
30 | String mid = fields[2];
31 |
32 | // 根据ip获取其所属地(省份)
33 | String province = null;
34 | if (ip != null) {
35 | Jedis jedis = JedisUtil.getJedis();
36 | province = jedis.hget("ip_info_en", ip);
37 | // 需要释放jedis的资源,否则会报can not get resource from the pool
38 | JedisUtil.returnJedis(jedis);
39 | }
40 |
41 | // 发送数据到下一个bolt,只发送实现业务功能需要的province和mid
42 | collector.emit(new Values(province, mid));
43 |
44 | }
45 |
46 | /**
47 | * 定义了发送到下一个bolt的数据包含两个域:province和mid
48 | */
49 | @Override
50 | public void declareOutputFields(OutputFieldsDeclarer declarer) {
51 | declarer.declare(new Fields("province", "mid"));
52 | }
53 | }
54 |
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/src/main/java/cn/xpleaf/bigdata/storm/utils/JedisUtil.java:
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1 | package cn.xpleaf.bigdata.storm.utils;
2 |
3 | import cn.xpleaf.bigdata.storm.constants.JedisConstants;
4 | import redis.clients.jedis.Jedis;
5 | import redis.clients.jedis.JedisPool;
6 | import redis.clients.jedis.JedisPoolConfig;
7 |
8 | import java.io.IOException;
9 | import java.util.Properties;
10 |
11 | /**
12 | * Redis Java API 操作的工具类
13 | * 主要为我们提供 Java操作Redis的对象Jedis 模仿类似的数据库连接池
14 | *
15 | * JedisPool
16 | */
17 | public class JedisUtil {
18 |
19 | private JedisUtil() {}
20 | private static JedisPool jedisPool;
21 | static {
22 | Properties prop = new Properties();
23 | try {
24 | prop.load(JedisUtil.class.getClassLoader().getResourceAsStream("redis.properties"));
25 | JedisPoolConfig poolConfig = new JedisPoolConfig();
26 |
27 | //jedis连接池中最大的连接个数
28 | poolConfig.setMaxTotal(Integer.valueOf(prop.getProperty(JedisConstants.JEDIS_MAX_TOTAL)));
29 | //jedis连接池中最大的空闲连接个数
30 | poolConfig.setMaxIdle(Integer.valueOf(prop.getProperty(JedisConstants.JEDIS_MAX_IDLE)));
31 | //jedis连接池中最小的空闲连接个数
32 | poolConfig.setMinIdle(Integer.valueOf(prop.getProperty(JedisConstants.JEDIS_MIN_IDLE)));
33 | //jedis连接池最大的等待连接时间 ms值
34 | poolConfig.setMaxWaitMillis(Long.valueOf(prop.getProperty(JedisConstants.JEDIS_MAX_WAIT_MILLIS)));
35 |
36 | //表示jedis的服务器主机名
37 | String host = prop.getProperty(JedisConstants.JEDIS_HOST);
38 | String JEDIS_PORT = "jedis.port";
39 | int port = Integer.valueOf(prop.getProperty(JedisConstants.JEDIS_PORT));
40 | //表示jedis的服务密码
41 | String password = prop.getProperty(JedisConstants.JEDIS_PASSWORD);
42 |
43 | // jedisPool = new JedisPool(poolConfig, host, port, 10000, password);
44 | jedisPool = new JedisPool(poolConfig, host, port, 10000);
45 | } catch (IOException e) {
46 | e.printStackTrace();
47 | }
48 | }
49 |
50 | /**
51 | * 提供了Jedis的对象
52 | * @return
53 | */
54 | public static Jedis getJedis() {
55 | return jedisPool.getResource();
56 | }
57 |
58 | /**
59 | * 资源释放
60 | * @param jedis
61 | */
62 | public static void returnJedis(Jedis jedis) {
63 | jedis.close();
64 | }
65 | }
66 |
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/src/main/java/cn/xpleaf/bigdata/storm/statistic/StatisticTopology.java:
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1 | package cn.xpleaf.bigdata.storm.statistic;
2 |
3 | import kafka.api.OffsetRequest;
4 | import org.apache.storm.Config;
5 | import org.apache.storm.LocalCluster;
6 | import org.apache.storm.StormSubmitter;
7 | import org.apache.storm.generated.StormTopology;
8 | import org.apache.storm.kafka.BrokerHosts;
9 | import org.apache.storm.kafka.KafkaSpout;
10 | import org.apache.storm.kafka.SpoutConfig;
11 | import org.apache.storm.kafka.ZkHosts;
12 | import org.apache.storm.topology.TopologyBuilder;
13 |
14 | /**
15 | * 构建topology
16 | */
17 | public class StatisticTopology {
18 | public static void main(String[] args) throws Exception {
19 | TopologyBuilder builder = new TopologyBuilder();
20 | /**
21 | * 设置spout和bolt的dag(有向无环图)
22 | */
23 | KafkaSpout kafkaSpout = createKafkaSpout();
24 | builder.setSpout("id_kafka_spout", kafkaSpout);
25 | builder.setBolt("id_convertIp_bolt", new ConvertIPBolt()).shuffleGrouping("id_kafka_spout"); // 通过不同的数据流转方式,来指定数据的上游组件
26 | builder.setBolt("id_statistic_bolt", new StatisticBolt()).shuffleGrouping("id_convertIp_bolt"); // 通过不同的数据流转方式,来指定数据的上游组件
27 | // 使用builder构建topology
28 | StormTopology topology = builder.createTopology();
29 | String topologyName = KafkaStormTopology.class.getSimpleName(); // 拓扑的名称
30 | Config config = new Config(); // Config()对象继承自HashMap,但本身封装了一些基本的配置
31 |
32 | // 启动topology,本地启动使用LocalCluster,集群启动使用StormSubmitter
33 | if (args == null || args.length < 1) { // 没有参数时使用本地模式,有参数时使用集群模式
34 | LocalCluster localCluster = new LocalCluster(); // 本地开发模式,创建的对象为LocalCluster
35 | localCluster.submitTopology(topologyName, config, topology);
36 | } else {
37 | StormSubmitter.submitTopology(topologyName, config, topology);
38 | }
39 | }
40 |
41 | /**
42 | * BrokerHosts hosts kafka集群列表
43 | * String topic 要消费的topic主题
44 | * String zkRoot kafka在zk中的目录(会在该节点目录下记录读取kafka消息的偏移量)
45 | * String id 当前操作的标识id
46 | */
47 | private static KafkaSpout createKafkaSpout() {
48 | String brokerZkStr = "uplooking01:2181,uplooking02:2181,uplooking03:2181";
49 | BrokerHosts hosts = new ZkHosts(brokerZkStr); // 通过zookeeper中的/brokers即可找到kafka的地址
50 | String topic = "f-k-s";
51 | String zkRoot = "/" + topic;
52 | String id = "consumer-id";
53 | SpoutConfig spoutConf = new SpoutConfig(hosts, topic, zkRoot, id);
54 | // 本地环境设置之后,也可以在zk中建立/f-k-s节点,在集群环境中,不用配置也可以在zk中建立/f-k-s节点
55 | //spoutConf.zkServers = Arrays.asList(new String[]{"uplooking01", "uplooking02", "uplooking03"});
56 | //spoutConf.zkPort = 2181;
57 | spoutConf.startOffsetTime = OffsetRequest.LatestTime(); // 设置之后,刚启动时就不会把之前的消息也进行读取,会从最新的偏移量开始读取
58 | return new KafkaSpout(spoutConf);
59 | }
60 | }
61 |
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/storm-statistic.iml:
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1 |
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3 |
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6 |
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8 |
9 |
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13 |
14 |
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16 |
17 |
18 |
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20 |
21 |
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52 |
53 |
54 |
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/pom.xml:
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1 |
2 |
3 |
5 | 4.0.0
6 |
7 | cn.xpleaf.bigdata
8 | storm-statistic
9 | 1.0-SNAPSHOT
10 |
11 | storm-statistic
12 |
13 | http://www.example.com
14 |
15 |
16 | UTF-8
17 |
18 |
19 |
20 |
21 |
22 | junit
23 | junit
24 | 4.12
25 | test
26 |
27 |
28 |
29 |
30 | org.apache.storm
31 | storm-core
32 | 1.0.2
33 |
34 |
35 |
36 |
37 |
38 |
39 | org.apache.storm
40 | storm-kafka
41 | 1.0.2
42 |
43 |
44 |
45 |
46 | org.apache.kafka
47 | kafka-clients
48 | 0.10.0.1
49 |
50 |
51 |
52 | org.slf4j
53 | slf4j-log4j12
54 |
55 |
56 | org.apache.zookeeper
57 | zookeeper
58 |
59 |
60 |
61 |
62 | org.apache.kafka
63 | kafka_2.10
64 | 0.10.0.1
65 |
66 |
67 |
68 | org.apache.zookeeper
69 | zookeeper
70 |
71 |
72 | org.slf4j
73 | slf4j-log4j12
74 |
75 |
76 |
77 |
78 |
79 |
80 | redis.clients
81 | jedis
82 | 2.9.0
83 |
84 |
85 |
86 |
87 |
88 |
89 |
90 |
91 | org.apache.maven.plugins
92 | maven-compiler-plugin
93 | 2.3.2
94 |
95 | UTF-8
96 | 1.8
97 | 1.8
98 | true
99 |
100 |
101 |
102 |
103 | maven-assembly-plugin
104 |
105 |
106 |
107 | jar-with-dependencies
108 |
109 |
110 |
111 |
112 |
113 |
114 |
115 |
116 |
117 |
118 |
119 |
120 | make-assembly
121 | package
122 |
123 | single
124 |
125 |
126 |
127 |
128 |
129 |
130 |
131 |
132 |
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/src/main/java/cn/xpleaf/bigdata/storm/statistic/StatisticBolt.java:
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1 | package cn.xpleaf.bigdata.storm.statistic;
2 |
3 | import cn.xpleaf.bigdata.storm.utils.JedisUtil;
4 | import org.apache.storm.Config;
5 | import org.apache.storm.Constants;
6 | import org.apache.storm.topology.BasicOutputCollector;
7 | import org.apache.storm.topology.OutputFieldsDeclarer;
8 | import org.apache.storm.topology.base.BaseBasicBolt;
9 | import org.apache.storm.tuple.Tuple;
10 | import redis.clients.jedis.Jedis;
11 |
12 | import java.text.SimpleDateFormat;
13 | import java.util.*;
14 |
15 | /**
16 | * 日志数据统计Bolt,实现功能:
17 | * 1.统计各省份的PV、UV
18 | * 2.以天为单位,将省份对应的PV、UV信息写入Redis
19 | */
20 | public class StatisticBolt extends BaseBasicBolt {
21 |
22 | Map pvMap = new HashMap<>();
23 | Map> midsMap = null;
24 | SimpleDateFormat sdf = new SimpleDateFormat("yyyyMMdd");
25 |
26 | @Override
27 | public void execute(Tuple input, BasicOutputCollector collector) {
28 | if (!input.getSourceComponent().equalsIgnoreCase(Constants.SYSTEM_COMPONENT_ID)) { // 如果收到非系统级别的tuple,统计信息到局部变量mids
29 | String province = input.getStringByField("province");
30 | String mid = input.getStringByField("mid");
31 | pvMap.put(province, pvMap.get(province) + 1); // pv+1
32 | if(mid != null) {
33 | midsMap.get(province).add(mid); // 将mid添加到该省份所对应的set中
34 | }
35 | } else { // 如果收到系统级别的tuple,则将数据更新到Redis中,释放JVM堆内存空间
36 | /*
37 | * 以 广东 为例,其在Redis中保存的数据格式如下:
38 | * guangdong_pv(Redis数据结构为hash)
39 | * --20180415
40 | * --pv数
41 | * --20180416
42 | * --pv数
43 | * guangdong_mids_20180415(Redis数据结构为set)
44 | * --mid
45 | * --mid
46 | * --mid
47 | * ......
48 | * guangdong_mids_20180415(Redis数据结构为set)
49 | * --mid
50 | * --mid
51 | * --mid
52 | * ......
53 | */
54 | Jedis jedis = JedisUtil.getJedis();
55 | String dateStr = sdf.format(new Date());
56 | // 更新pvMap数据到Redis中
57 | String pvKey = null;
58 | for(String province : pvMap.keySet()) {
59 | int currentPv = pvMap.get(province);
60 | if(currentPv > 0) { // 当前map中的pv大于0才更新,否则没有意义
61 | pvKey = province + "_pv";
62 | String oldPvStr = jedis.hget(pvKey, dateStr);
63 | if(oldPvStr == null) {
64 | oldPvStr = "0";
65 | }
66 | Long oldPv = Long.valueOf(oldPvStr);
67 | jedis.hset(pvKey, dateStr, oldPv + currentPv + "");
68 | pvMap.replace(province, 0); // 将该省的pv重新设置为0
69 | }
70 | }
71 | // 更新midsMap到Redis中
72 | String midsKey = null;
73 | HashSet midsSet = null;
74 | for(String province: midsMap.keySet()) {
75 | midsSet = midsMap.get(province);
76 | if(midsSet.size() > 0) { // 当前省份的set的大小大于0才更新到,否则没有意义
77 | midsKey = province + "_mids_" + dateStr;
78 | jedis.sadd(midsKey, midsSet.toArray(new String[midsSet.size()]));
79 | midsSet.clear();
80 | }
81 | }
82 | // 释放jedis资源
83 | JedisUtil.returnJedis(jedis);
84 | System.out.println(System.currentTimeMillis() + "------->写入数据到Redis");
85 | }
86 | }
87 |
88 | @Override
89 | public void declareOutputFields(OutputFieldsDeclarer declarer) {
90 |
91 | }
92 |
93 | /**
94 | * 设置定时任务,只对当前bolt有效,系统会定时向StatisticBolt发送一个系统级别的tuple
95 | */
96 | @Override
97 | public Map getComponentConfiguration() {
98 | Map config = new HashMap<>();
99 | config.put(Config.TOPOLOGY_TICK_TUPLE_FREQ_SECS, 10);
100 | return config;
101 | }
102 |
103 | /**
104 | * 初始化各个省份的pv和mids信息(用来临时存储统计pv和uv需要的数据)
105 | */
106 | public StatisticBolt() {
107 | pvMap = new HashMap<>();
108 | midsMap = new HashMap>();
109 | String[] provinceArray = {"shanxi", "jilin", "hunan", "hainan", "xinjiang", "hubei", "zhejiang", "tianjin", "shanghai",
110 | "anhui", "guizhou", "fujian", "jiangsu", "heilongjiang", "aomen", "beijing", "shaanxi", "chongqing",
111 | "jiangxi", "guangxi", "gansu", "guangdong", "yunnan", "sicuan", "qinghai", "xianggang", "taiwan",
112 | "neimenggu", "henan", "shandong", "shanghai", "hebei", "liaoning", "xizang"};
113 | for(String province : provinceArray) {
114 | pvMap.put(province, 0);
115 | midsMap.put(province, new HashSet());
116 | }
117 | }
118 | }
119 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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