This is an automated email from the ASF dual-hosted git repository.
yiguolei pushed a commit to branch branch-2.1
in repository https://gitbox.apache.org/repos/asf/doris.git
The following commit(s) were added to refs/heads/branch-2.1 by this push:
new 873f70c262c [fix] (compaction) fix compaction score in time series
policy (#40242) (#40779)
873f70c262c is described below
commit 873f70c262cd85051985520b282073f62ad507ef
Author: Sun Chenyang <[email protected]>
AuthorDate: Fri Sep 13 14:35:16 2024 +0800
[fix] (compaction) fix compaction score in time series policy (#40242)
(#40779)
## Proposed changes
pick from master #40242
<!--Describe your changes.-->
---
.../cumulative_compaction_time_series_policy.cpp | 64 +---------------------
...mulative_compaction_time_series_policy_test.cpp | 2 +-
2 files changed, 2 insertions(+), 64 deletions(-)
diff --git a/be/src/olap/cumulative_compaction_time_series_policy.cpp
b/be/src/olap/cumulative_compaction_time_series_policy.cpp
index 3134364a4dd..aa79ac01edd 100644
--- a/be/src/olap/cumulative_compaction_time_series_policy.cpp
+++ b/be/src/olap/cumulative_compaction_time_series_policy.cpp
@@ -27,14 +27,11 @@ 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
@@ -53,12 +50,6 @@ 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);
- }
}
}
@@ -73,60 +64,7 @@ uint32_t
TimeSeriesCumulativeCompactionPolicy::calc_cumulative_compaction_score(
return 0;
}
- // 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.
- auto consecutive_empty_rowsets =
tablet->pick_first_consecutive_empty_rowsets(
-
tablet->tablet_meta()->time_series_compaction_empty_rowsets_threshold());
- if (!consecutive_empty_rowsets.empty()) {
- return score;
- }
-
- return 0;
+ return score;
}
void TimeSeriesCumulativeCompactionPolicy::calculate_cumulative_point(
diff --git a/be/test/olap/cumulative_compaction_time_series_policy_test.cpp
b/be/test/olap/cumulative_compaction_time_series_policy_test.cpp
index 57872083edf..b4c53cecdd6 100644
--- a/be/test/olap/cumulative_compaction_time_series_policy_test.cpp
+++ b/be/test/olap/cumulative_compaction_time_series_policy_test.cpp
@@ -404,7 +404,7 @@ TEST_F(TestTimeSeriesCumulativeCompactionPolicy,
calc_cumulative_compaction_scor
const uint32_t score =
_tablet->calc_compaction_score(CompactionType::CUMULATIVE_COMPACTION,
cumulative_compaction_policy);
- EXPECT_EQ(0, score);
+ EXPECT_EQ(9, score);
}
TEST_F(TestTimeSeriesCumulativeCompactionPolicy,
calc_cumulative_compaction_score_big_rowset) {
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
