diff --git a/be/src/olap/cumulative_compaction_time_series_policy.cpp b/be/src/olap/cumulative_compaction_time_series_policy.cpp
index 6fa4b8d014313f0..64e51c77641311a 100644
--- a/be/src/olap/cumulative_compaction_time_series_policy.cpp
+++ b/be/src/olap/cumulative_compaction_time_series_policy.cpp
@@ -27,11 +27,14 @@ namespace doris {
 
 uint32_t TimeSeriesCumulativeCompactionPolicy::calc_cumulative_compaction_score(Tablet* tablet) {
     uint32_t score = 0;
+    uint32_t level0_score = 0;
     bool base_rowset_exist = false;
     const int64_t point = tablet->cumulative_layer_point();
 
+    int64_t level0_total_size = 0;
     RowsetMetaSharedPtr first_meta;
     int64_t first_version = INT64_MAX;
+    std::list<RowsetMetaSharedPtr> checked_rs_metas;
     // NOTE: tablet._meta_lock is hold
     auto& rs_metas = tablet->tablet_meta()->all_rs_metas();
     // check the base rowset and collect the rowsets of cumulative part
@@ -50,6 +53,12 @@ uint32_t TimeSeriesCumulativeCompactionPolicy::calc_cumulative_compaction_score(
         } else {
             // collect the rowsets of cumulative part
             score += rs_meta->get_compaction_score();
+            if (rs_meta->compaction_level() == 0) {
+                level0_total_size += rs_meta->total_disk_size();
+                level0_score += rs_meta->get_compaction_score();
+            } else {
+                checked_rs_metas.push_back(rs_meta);
+            }
         }
     }
 
@@ -64,7 +73,64 @@ uint32_t TimeSeriesCumulativeCompactionPolicy::calc_cumulative_compaction_score(
         return 0;
     }
 
-    return score;
+    // Condition 1: the size of input files for compaction meets the requirement of parameter compaction_goal_size
+    int64_t compaction_goal_size_mbytes =
+            tablet->tablet_meta()->time_series_compaction_goal_size_mbytes();
+    if (level0_total_size >= compaction_goal_size_mbytes * 1024 * 1024) {
+        return score;
+    }
+
+    // Condition 2: the number of input files reaches the threshold specified by parameter compaction_file_count_threshold
+    if (level0_score >= tablet->tablet_meta()->time_series_compaction_file_count_threshold()) {
+        return score;
+    }
+
+    // Condition 3: level1 achieve compaction_goal_size
+    if (tablet->tablet_meta()->time_series_compaction_level_threshold() >= 2) {
+        checked_rs_metas.sort([](const RowsetMetaSharedPtr& a, const RowsetMetaSharedPtr& b) {
+            return a->version().first < b->version().first;
+        });
+        int32_t rs_meta_count = 0;
+        int64_t continuous_size = 0;
+        for (const auto& rs_meta : checked_rs_metas) {
+            rs_meta_count++;
+            continuous_size += rs_meta->total_disk_size();
+            if (rs_meta_count >= 2) {
+                if (continuous_size >= compaction_goal_size_mbytes * 1024 * 1024) {
+                    return score;
+                }
+            }
+        }
+    }
+
+    int64_t now = UnixMillis();
+    int64_t last_cumu = tablet->last_cumu_compaction_success_time();
+    if (last_cumu != 0) {
+        int64_t cumu_interval = now - last_cumu;
+
+        // Condition 4: the time interval between compactions exceeds the value specified by parameter _compaction_time_threshold_second
+        if (cumu_interval >
+            (tablet->tablet_meta()->time_series_compaction_time_threshold_seconds() * 1000)) {
+            return score;
+        }
+    } else if (score > 0) {
+        // If the compaction process has not been successfully executed,
+        // the condition for triggering compaction based on the last successful compaction time (condition 3) will never be met
+        tablet->set_last_cumu_compaction_success_time(now);
+    }
+
+    // Condition 5: If there is a continuous set of empty rowsets, prioritize merging.
+    std::vector<RowsetSharedPtr> input_rowsets;
+    std::vector<RowsetSharedPtr> candidate_rowsets =
+            tablet->pick_candidate_rowsets_to_cumulative_compaction();
+    tablet->calc_consecutive_empty_rowsets(
+            &input_rowsets, candidate_rowsets,
+            tablet->tablet_meta()->time_series_compaction_empty_rowsets_threshold());
+    if (!input_rowsets.empty()) {
+        return score;
+    }
+
+    return 0;
 }
 
 void TimeSeriesCumulativeCompactionPolicy::calculate_cumulative_point(