1.Redis 高级数据类型
（1）HyperLogLog
统计20万个重复数据的独立总数
// 统计20万个重复数据的独立总数.
@Test
public void testHyperLogLog() {
String redisKey = "test:hll:01";
for (int i = 1; i <= 100000; i++) {
redisTemplate.opsForHyperLogLog().add(redisKey, i);
}
for (int i = 1; i <= 100000; i++) {
int r = (int) (Math.random() * 100000 + 1);
redisTemplate.opsForHyperLogLog().add(redisKey, r);
}
long size = redisTemplate.opsForHyperLogLog().size(redisKey);
System.out.println(size);
}将3组数据合并, 再统计合并后的重复数据的独立总数
@Test
public void testHyperLogLogUnion() {
String redisKey2 = "test:hll:02";
for (int i = 1; i <= 10000; i++) {
redisTemplate.opsForHyperLogLog().add(redisKey2, i);
}
String redisKey3 = "test:hll:03";
for (int i = 5001; i <= 15000; i++) {
redisTemplate.opsForHyperLogLog().add(redisKey3, i);
}
String redisKey4 = "test:hll:04";
for (int i = 10001; i <= 20000; i++) {
redisTemplate.opsForHyperLogLog().add(redisKey4, i);
}
String unionKey = "test:hll:union";
redisTemplate.opsForHyperLogLog().union(unionKey, redisKey2, redisKey3, redisKey4);
long size = redisTemplate.opsForHyperLogLog().size(unionKey);
System.out.println(size);
}（2）bitmap
统计一组数据的布尔值
@Test
public void testBitMap() {
String redisKey = "test:bm:01";
// 记录
redisTemplate.opsForValue().setBit(redisKey, 1, true);
redisTemplate.opsForValue().setBit(redisKey, 4, true);
redisTemplate.opsForValue().setBit(redisKey, 7, true);
// 查询
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 0));
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 1));
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 2));
// 统计
Object obj = redisTemplate.execute(new RedisCallback() {
@Override
public Object doInRedis(RedisConnection connection) throws DataAccessException {
return connection.bitCount(redisKey.getBytes());
}
});
System.out.println(obj);
}统计3组数据的布尔值, 并对这3组数据做OR运算
// 统计3组数据的布尔值, 并对这3组数据做OR运算.
@Test
public void testBitMapOperation() {
String redisKey2 = "test:bm:02";
redisTemplate.opsForValue().setBit(redisKey2, 0, true);
redisTemplate.opsForValue().setBit(redisKey2, 1, true);
redisTemplate.opsForValue().setBit(redisKey2, 2, true);
String redisKey3 = "test:bm:03";
redisTemplate.opsForValue().setBit(redisKey3, 2, true);
redisTemplate.opsForValue().setBit(redisKey3, 3, true);
redisTemplate.opsForValue().setBit(redisKey3, 4, true);
String redisKey4 = "test:bm:04";
redisTemplate.opsForValue().setBit(redisKey4, 4, true);
redisTemplate.opsForValue().setBit(redisKey4, 5, true);
redisTemplate.opsForValue().setBit(redisKey4, 6, true);
String redisKey = "test:bm:or";
Object obj = redisTemplate.execute(new RedisCallback() {
@Override
public Object doInRedis(RedisConnection connection) throws DataAccessException {
connection.bitOp(RedisStringCommands.BitOperation.OR,
redisKey.getBytes(), redisKey2.getBytes(), redisKey3.getBytes(), redisKey4.getBytes());
return connection.bitCount(redisKey.getBytes());
}
});
System.out.println(obj);
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 0));
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 1));
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 2));
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 3));
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 4));
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 5));
System.out.println(redisTemplate.opsForValue().getBit(redisKey, 6));
}2.网站数据统计
仅有管理员有权限
（1）RedisKeyUtil
private static final String PREFIX_DAU = "dau";
private static final String PREFIX_POST = "post";
// 单日UV
public static String getUVKey(String date) {
return PREFIX_UV + SPLIT + date;
}
// 区间UV
public static String getUVKey(String startDate, String endDate) {
return PREFIX_UV + SPLIT + startDate + SPLIT + endDate;
}
// 单日活跃用户
public static String getDAUKey(String date) {
return PREFIX_DAU + SPLIT + date;
}
// 区间活跃用户
public static String getDAUKey(String startDate, String endDate) {
return PREFIX_DAU + SPLIT + startDate + SPLIT + endDate;
}（2） DataService
@Service
public class DataService {
@Autowired
private RedisTemplate redisTemplate;
private SimpleDateFormat df = new SimpleDateFormat("yyyyMMdd");
// 将指定的IP计入UV
public void recordUV(String ip) {
String redisKey = RedisKeyUtil.getUVKey(df.format(new Date()));
redisTemplate.opsForHyperLogLog().add(redisKey, ip);
}
// 统计指定日期范围内的UV
public long calculateUV(Date start, Date end) {
if (start == null || end == null) {
throw new IllegalArgumentException("参数不能为空!");
}
// 整理该日期范围内的key
List<String> keyList = new ArrayList<>();
Calendar calendar = Calendar.getInstance();
calendar.setTime(start);
while (!calendar.getTime().after(end)) {
String key = RedisKeyUtil.getUVKey(df.format(calendar.getTime()));
keyList.add(key);
calendar.add(Calendar.DATE, 1);
}
// 合并这些数据
String redisKey = RedisKeyUtil.getUVKey(df.format(start), df.format(end));
redisTemplate.opsForHyperLogLog().union(redisKey, keyList.toArray());
// 返回统计的结果
return redisTemplate.opsForHyperLogLog().size(redisKey);
}
// 将指定用户计入DAU
public void recordDAU(int userId) {
String redisKey = RedisKeyUtil.getDAUKey(df.format(new Date()));
redisTemplate.opsForValue().setBit(redisKey, userId, true);
}
// 统计指定日期范围内的DAU
public long calculateDAU(Date start, Date end) {
if (start == null || end == null) {
throw new IllegalArgumentException("参数不能为空!");
}
// 整理该日期范围内的key
List<byte[]> keyList = new ArrayList<>();
Calendar calendar = Calendar.getInstance();
calendar.setTime(start);
while (!calendar.getTime().after(end)) {
String key = RedisKeyUtil.getDAUKey(df.format(calendar.getTime()));
keyList.add(key.getBytes());
calendar.add(Calendar.DATE, 1);
}
// 进行OR运算
return (long) redisTemplate.execute(new RedisCallback() {
@Override
public Object doInRedis(RedisConnection connection) throws DataAccessException {
String redisKey = RedisKeyUtil.getDAUKey(df.format(start), df.format(end));
connection.bitOp(RedisStringCommands.BitOperation.OR,
redisKey.getBytes(), keyList.toArray(new byte[0][0]));
return connection.bitCount(redisKey.getBytes());
}
});
}
}（3） DataInterceptor
每次请求都需要记录，计入拦截器比较合适
@Component
public class DataInterceptor implements HandlerInterceptor {
@Autowired
private DataService dataService;
@Autowired
private HostHolder hostHolder;
@Override
public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
// 统计UV
String ip = request.getRemoteHost();
dataService.recordUV(ip);
// 统计DAU
User user = hostHolder.getUser();
if (user != null) {
dataService.recordDAU(user.getId());
}
return true;
}
}（4）WebMvcConfig
配置拦截器
registry.addInterceptor(dataInterceptor)
.excludePathPatterns("/**/*.css", "/**/*.js", "/**/*.png", "/**/*.jpg", "/**/*.jpeg");
（5）DataController
@Controller
public class DataController {
@Autowired
private DataService dataService;
// 统计页面
@RequestMapping(path = "/data", method = {RequestMethod.GET, RequestMethod.POST})
public String getDataPage() {
return "/site/admin/data";
}
// 统计网站UV
@RequestMapping(path = "/data/uv", method = RequestMethod.POST)
public String getUV(@DateTimeFormat(pattern = "yyyy-MM-dd") Date start,
@DateTimeFormat(pattern = "yyyy-MM-dd") Date end, Model model) {
long uv = dataService.calculateUV(start, end);
model.addAttribute("uvResult", uv);
model.addAttribute("uvStartDate", start);
model.addAttribute("uvEndDate", end);
return "forward:/data";
}
// 统计活跃用户
@RequestMapping(path = "/data/dau", method = RequestMethod.POST)
public String getDAU(@DateTimeFormat(pattern = "yyyy-MM-dd") Date start,
@DateTimeFormat(pattern = "yyyy-MM-dd") Date end, Model model) {
long dau = dataService.calculateDAU(start, end);
model.addAttribute("dauResult", dau);
model.addAttribute("dauStartDate", start);
model.addAttribute("dauEndDate", end);
return "forward:/data";
}
}（6）SecurityConfig
管理员才能访问
.antMatchers(
"/discuss/delete",
"/data/**"
)
.hasAnyAuthority(
AUTHORITY_ADMIN
