feat(clickhouse): 实现统计数据查询的时间序列填充功能

- 将日期时间处理从旧的 Date 和 SimpleDateFormat 迁移到新的 Java 8 时间 API
- 添加小时级别数据序列填充功能，确保每个小时都有数据记录
- 添加日期级别数据序列填充功能，确保每天都有数据记录
- 实现缺失时间段的数据自动补零机制
- 重构查询方法以支持连续时间序列数据返回
- 提高统计图表数据完整性和可视化效果

src/main/java/com/ycwl/basic/clickhouse/service/impl/ClickHouseStatsQueryServiceImpl.java

@@ -12,10 +12,13 @@ import org.springframework.jdbc.core.namedparam.NamedParameterJdbcTemplate;
 import org.springframework.stereotype.Service;
 
 import java.text.SimpleDateFormat;
-import java.util.Date;
+import java.time.LocalDate;
-import java.util.HashMap;
+import java.time.LocalDateTime;
-import java.util.List;
+import java.time.ZoneId;
-import java.util.TimeZone;
+import java.time.format.DateTimeFormatter;
+import java.time.temporal.ChronoUnit;
+import java.util.*;
+import java.util.stream.Collectors;
 
 /**
  * ClickHouse 统计数据查询服务实现
@@ -366,12 +369,14 @@ public class ClickHouseStatsQueryServiceImpl implements StatsQueryService {
         sql.append("GROUP BY toStartOfHour(s.create_time) ");
         sql.append("ORDER BY toStartOfHour(s.create_time)");
 
-        return getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
+        List<HashMap<String, String>> rawData = getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
             HashMap<String, String> map = new HashMap<>();
             map.put("t", rs.getString("t"));
             map.put("count", rs.getString("count"));
             return map;
         });
+
+        return fillHourSeries(rawData, query.getStartTime(), query.getEndTime());
     }
 
     @Override
@@ -389,12 +394,14 @@ public class ClickHouseStatsQueryServiceImpl implements StatsQueryService {
         sql.append("GROUP BY toStartOfDay(s.create_time) ");
         sql.append("ORDER BY toStartOfDay(s.create_time)");
 
-        return getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
+        List<HashMap<String, String>> rawData = getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
             HashMap<String, String> map = new HashMap<>();
             map.put("t", rs.getString("t"));
             map.put("count", rs.getString("count"));
             return map;
         });
+
+        return fillDateSeries(rawData, query.getStartTime(), query.getEndTime());
     }
 
     @Override
@@ -418,12 +425,14 @@ public class ClickHouseStatsQueryServiceImpl implements StatsQueryService {
         sql.append("GROUP BY toStartOfHour(s.create_time) ");
         sql.append("ORDER BY toStartOfHour(s.create_time)");
 
-        return getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
+        List<HashMap<String, String>> rawData = getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
             HashMap<String, String> map = new HashMap<>();
             map.put("t", rs.getString("t"));
             map.put("count", rs.getString("count"));
             return map;
         });
+
+        return fillHourSeries(rawData, query.getStartTime(), query.getEndTime());
     }
 
     @Override
@@ -447,11 +456,81 @@ public class ClickHouseStatsQueryServiceImpl implements StatsQueryService {
         sql.append("GROUP BY toStartOfDay(s.create_time) ");
         sql.append("ORDER BY toStartOfDay(s.create_time)");
 
-        return getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
+        List<HashMap<String, String>> rawData = getJdbcTemplate().query(sql.toString(), (rs, rowNum) -> {
             HashMap<String, String> map = new HashMap<>();
             map.put("t", rs.getString("t"));
             map.put("count", rs.getString("count"));
             return map;
         });
+
+        return fillDateSeries(rawData, query.getStartTime(), query.getEndTime());
+    }
+
+    /**
+     * 填充小时序列，确保每个小时都有数据（缺失的填充为0）
+     */
+    private List<HashMap<String, String>> fillHourSeries(List<HashMap<String, String>> rawData, Date startTime, Date endTime) {
+        if (startTime == null || endTime == null) {
+            return rawData;
+        }
+
+        DateTimeFormatter formatter = DateTimeFormatter.ofPattern("MM-dd HH");
+        LocalDateTime start = startTime.toInstant().atZone(ZoneId.systemDefault()).toLocalDateTime().truncatedTo(ChronoUnit.HOURS);
+        LocalDateTime end = endTime.toInstant().atZone(ZoneId.systemDefault()).toLocalDateTime().truncatedTo(ChronoUnit.HOURS);
+
+        // 将原始数据转为 Map 以便快速查找
+        Map<String, String> dataMap = rawData.stream()
+                .collect(Collectors.toMap(
+                        m -> m.get("t"),
+                        m -> m.get("count"),
+                        (existing, replacement) -> existing
+                ));
+
+        List<HashMap<String, String>> result = new ArrayList<>();
+        LocalDateTime current = start;
+        while (!current.isAfter(end)) {
+            String timeKey = current.format(formatter);
+            HashMap<String, String> item = new HashMap<>();
+            item.put("t", timeKey);
+            item.put("count", dataMap.getOrDefault(timeKey, "0"));
+            result.add(item);
+            current = current.plusHours(1);
+        }
+
+        return result;
+    }
+
+    /**
+     * 填充日期序列，确保每天都有数据（缺失的填充为0）
+     */
+    private List<HashMap<String, String>> fillDateSeries(List<HashMap<String, String>> rawData, Date startTime, Date endTime) {
+        if (startTime == null || endTime == null) {
+            return rawData;
+        }
+
+        DateTimeFormatter formatter = DateTimeFormatter.ofPattern("MM-dd");
+        LocalDate start = startTime.toInstant().atZone(ZoneId.systemDefault()).toLocalDate();
+        LocalDate end = endTime.toInstant().atZone(ZoneId.systemDefault()).toLocalDate();
+
+        // 将原始数据转为 Map 以便快速查找
+        Map<String, String> dataMap = rawData.stream()
+                .collect(Collectors.toMap(
+                        m -> m.get("t"),
+                        m -> m.get("count"),
+                        (existing, replacement) -> existing
+                ));
+
+        List<HashMap<String, String>> result = new ArrayList<>();
+        LocalDate current = start;
+        while (!current.isAfter(end)) {
+            String timeKey = current.format(formatter);
+            HashMap<String, String> item = new HashMap<>();
+            item.put("t", timeKey);
+            item.put("count", dataMap.getOrDefault(timeKey, "0"));
+            result.add(item);
+            current = current.plusDays(1);
+        }
+
+        return result;
     }
 }