Fix bug in execution of TTL GROUP BY

src/DataStreams/TTLAggregationAlgorithm.cpp

@@ -36,88 +36,110 @@ TTLAggregationAlgorithm::TTLAggregationAlgorithm(
         storage_.getContext()->getTemporaryVolume(), settings.max_threads, settings.min_free_disk_space_for_temporary_data);
 
     aggregator = std::make_unique<Aggregator>(params);
+
+    if (isMinTTLExpired())
+        new_ttl_info.finished = true;
 }
 
 void TTLAggregationAlgorithm::execute(Block & block)
 {
-    if (!block)
-    {
-        if (!aggregation_result.empty())
-        {
-            MutableColumns result_columns = header.cloneEmptyColumns();
-            finalizeAggregates(result_columns);
-            block = header.cloneWithColumns(std::move(result_columns));
-        }
 
-        return;
-    }
-
-    const auto & column_names = header.getNames();
+    bool some_rows_were_aggregated = false;
     MutableColumns result_columns = header.cloneEmptyColumns();
-    MutableColumns aggregate_columns = header.cloneEmptyColumns();
 
-    auto ttl_column = executeExpressionAndGetColumn(description.expression, block, description.result_column);
-    auto where_column = executeExpressionAndGetColumn(description.where_expression, block, description.where_result_column);
-
-    size_t rows_aggregated = 0;
-    size_t current_key_start = 0;
-    size_t rows_with_current_key = 0;
-
-    for (size_t i = 0; i < block.rows(); ++i)
+    if (!block) /// Empty block -- no more data, but we may still have some accumulated rows
     {
-        UInt32 cur_ttl = getTimestampByIndex(ttl_column.get(), i);
-        bool where_filter_passed = !where_column || where_column->getBool(i);
-        bool ttl_expired = isTTLExpired(cur_ttl) && where_filter_passed;
-
-        bool same_as_current = true;
-        for (size_t j = 0; j < description.group_by_keys.size(); ++j)
+        if (!aggregation_result.empty()) /// Still have some aggregated data, let's update TTL
         {
-            const String & key_column = description.group_by_keys[j];
-            const IColumn * values_column = block.getByName(key_column).column.get();
-            if (!same_as_current || (*values_column)[i] != current_key_value[j])
-            {
-                values_column->get(i, current_key_value[j]);
-                same_as_current = false;
-            }
-        }
-
-        if (!same_as_current)
-        {
-            if (rows_with_current_key)
-                calculateAggregates(aggregate_columns, current_key_start, rows_with_current_key);
             finalizeAggregates(result_columns);
-
-            current_key_start = rows_aggregated;
-            rows_with_current_key = 0;
+            some_rows_were_aggregated = true;
         }
-
-        if (ttl_expired)
+        else /// No block, all aggregated, just finish
         {
-            ++rows_with_current_key;
-            ++rows_aggregated;
-            for (const auto & name : column_names)
-            {
-                const IColumn * values_column = block.getByName(name).column.get();
-                auto & column = aggregate_columns[header.getPositionByName(name)];
-                column->insertFrom(*values_column, i);
-            }
-        }
-        else
-        {
-            new_ttl_info.update(cur_ttl);
-            for (const auto & name : column_names)
-            {
-                const IColumn * values_column = block.getByName(name).column.get();
-                auto & column = result_columns[header.getPositionByName(name)];
-                column->insertFrom(*values_column, i);
-            }
+            return;
         }
     }
+    else
+    {
+        const auto & column_names = header.getNames();
+        MutableColumns aggregate_columns = header.cloneEmptyColumns();
 
-    if (rows_with_current_key)
-        calculateAggregates(aggregate_columns, current_key_start, rows_with_current_key);
+        auto ttl_column = executeExpressionAndGetColumn(description.expression, block, description.result_column);
+        auto where_column = executeExpressionAndGetColumn(description.where_expression, block, description.where_result_column);
+
+        size_t rows_aggregated = 0;
+        size_t current_key_start = 0;
+        size_t rows_with_current_key = 0;
+
+        for (size_t i = 0; i < block.rows(); ++i)
+        {
+            UInt32 cur_ttl = getTimestampByIndex(ttl_column.get(), i);
+            bool where_filter_passed = !where_column || where_column->getBool(i);
+            bool ttl_expired = isTTLExpired(cur_ttl) && where_filter_passed;
+
+            bool same_as_current = true;
+            for (size_t j = 0; j < description.group_by_keys.size(); ++j)
+            {
+                const String & key_column = description.group_by_keys[j];
+                const IColumn * values_column = block.getByName(key_column).column.get();
+                if (!same_as_current || (*values_column)[i] != current_key_value[j])
+                {
+                    values_column->get(i, current_key_value[j]);
+                    same_as_current = false;
+                }
+            }
+
+            if (!same_as_current)
+            {
+                if (rows_with_current_key)
+                {
+                    some_rows_were_aggregated = true;
+                    calculateAggregates(aggregate_columns, current_key_start, rows_with_current_key);
+                }
+                finalizeAggregates(result_columns);
+
+                current_key_start = rows_aggregated;
+                rows_with_current_key = 0;
+            }
+
+            if (ttl_expired)
+            {
+                ++rows_with_current_key;
+                ++rows_aggregated;
+                for (const auto & name : column_names)
+                {
+                    const IColumn * values_column = block.getByName(name).column.get();
+                    auto & column = aggregate_columns[header.getPositionByName(name)];
+                    column->insertFrom(*values_column, i);
+                }
+            }
+            else
+            {
+                for (const auto & name : column_names)
+                {
+                    const IColumn * values_column = block.getByName(name).column.get();
+                    auto & column = result_columns[header.getPositionByName(name)];
+                    column->insertFrom(*values_column, i);
+                }
+            }
+        }
+
+        if (rows_with_current_key)
+        {
+            some_rows_were_aggregated = true;
+            calculateAggregates(aggregate_columns, current_key_start, rows_with_current_key);
+        }
+    }
 
     block = header.cloneWithColumns(std::move(result_columns));
+
+    /// If some rows were aggregated we have to recalculate ttl info's
+    if (some_rows_were_aggregated)
+    {
+        auto ttl_column_after_aggregation = executeExpressionAndGetColumn(description.expression, block, description.result_column);
+        for (size_t i = 0; i < block.rows(); ++i)
+            new_ttl_info.update(getTimestampByIndex(ttl_column_after_aggregation.get(), i));
+    }
 }
 
 void TTLAggregationAlgorithm::calculateAggregates(const MutableColumns & aggregate_columns, size_t start_pos, size_t length)
@@ -133,6 +155,7 @@ void TTLAggregationAlgorithm::calculateAggregates(const MutableColumns & aggrega
 
     aggregator->executeOnBlock(aggregate_chunk, length, aggregation_result, key_columns,
                                columns_for_aggregator, no_more_keys);
+
 }
 
 void TTLAggregationAlgorithm::finalizeAggregates(MutableColumns & result_columns)
@@ -140,6 +163,7 @@ void TTLAggregationAlgorithm::finalizeAggregates(MutableColumns & result_columns
     if (!aggregation_result.empty())
     {
         auto aggregated_res = aggregator->convertToBlocks(aggregation_result, true, 1);
+
         for (auto & agg_block : aggregated_res)
         {
             for (const auto & it : description.set_parts)

src/DataStreams/TTLColumnAlgorithm.cpp

@@ -21,6 +21,8 @@ TTLColumnAlgorithm::TTLColumnAlgorithm(
         new_ttl_info = old_ttl_info;
         is_fully_empty = false;
     }
+    else
+        new_ttl_info.finished = true;
 }
 
 void TTLColumnAlgorithm::execute(Block & block)

src/DataStreams/TTLDeleteAlgorithm.cpp

@@ -9,6 +9,8 @@ TTLDeleteAlgorithm::TTLDeleteAlgorithm(
 {
     if (!isMinTTLExpired())
         new_ttl_info = old_ttl_info;
+    else
+        new_ttl_info.finished = true;
 }
 
 void TTLDeleteAlgorithm::execute(Block & block)

src/Storages/MergeTree/MergeTreeDataPartTTLInfo.cpp

@@ -55,6 +55,10 @@ void MergeTreeDataPartTTLInfos::read(ReadBuffer & in)
             MergeTreeDataPartTTLInfo ttl_info;
             ttl_info.min = col["min"].getUInt();
             ttl_info.max = col["max"].getUInt();
+
+            if (col.has("finished"))
+                ttl_info.finished = col["finished"].getUInt();
+
             String name = col["name"].getString();
             columns_ttl.emplace(name, ttl_info);
 
@@ -67,6 +71,9 @@ void MergeTreeDataPartTTLInfos::read(ReadBuffer & in)
         table_ttl.min = table["min"].getUInt();
         table_ttl.max = table["max"].getUInt();
 
+        if (table.has("finished"))
+            table_ttl.finished = table["finished"].getUInt();
+
         updatePartMinMaxTTL(table_ttl.min, table_ttl.max);
     }
 
@@ -77,6 +84,10 @@ void MergeTreeDataPartTTLInfos::read(ReadBuffer & in)
             MergeTreeDataPartTTLInfo ttl_info;
             ttl_info.min = elem["min"].getUInt();
             ttl_info.max = elem["max"].getUInt();
+
+            if (elem.has("finished"))
+                ttl_info.finished = elem["finished"].getUInt();
+
             String expression = elem["expression"].getString();
             ttl_info_map.emplace(expression, ttl_info);
 
@@ -126,6 +137,8 @@ void MergeTreeDataPartTTLInfos::write(WriteBuffer & out) const
             writeIntText(it->second.min, out);
             writeString(",\"max\":", out);
             writeIntText(it->second.max, out);
+            writeString(R"(,"finished":)", out);
+            writeIntText(static_cast<uint8_t>(it->second.finished), out);
             writeString("}", out);
         }
         writeString("]", out);
@@ -138,6 +151,8 @@ void MergeTreeDataPartTTLInfos::write(WriteBuffer & out) const
         writeIntText(table_ttl.min, out);
         writeString(R"(,"max":)", out);
         writeIntText(table_ttl.max, out);
+        writeString(R"(,"finished":)", out);
+        writeIntText(static_cast<uint8_t>(table_ttl.finished), out);
         writeString("}", out);
     }
 
@@ -159,6 +174,8 @@ void MergeTreeDataPartTTLInfos::write(WriteBuffer & out) const
             writeIntText(it->second.min, out);
             writeString(R"(,"max":)", out);
             writeIntText(it->second.max, out);
+            writeString(R"(,"finished":)", out);
+            writeIntText(static_cast<uint8_t>(it->second.finished), out);
             writeString("}", out);
         }
         writeString("]", out);
@@ -202,6 +219,39 @@ time_t MergeTreeDataPartTTLInfos::getMinimalMaxRecompressionTTL() const
     return max;
 }
 
+bool MergeTreeDataPartTTLInfos::hasAnyNonFinishedTTLs() const
+{
+    auto has_non_finished_ttl = [] (const TTLInfoMap & map) -> bool
+    {
+        for (const auto & [name, info] : map)
+        {
+            if (!info.finished)
+                return true;
+        }
+        return false;
+    };
+
+    if (!table_ttl.finished)
+        return true;
+
+    if (has_non_finished_ttl(columns_ttl))
+        return true;
+
+    if (has_non_finished_ttl(rows_where_ttl))
+        return true;
+
+    if (has_non_finished_ttl(moves_ttl))
+        return true;
+
+    if (has_non_finished_ttl(recompression_ttl))
+        return true;
+
+    if (has_non_finished_ttl(group_by_ttl))
+        return true;
+
+    return false;
+}
+
 std::optional<TTLDescription> selectTTLDescriptionForTTLInfos(const TTLDescriptions & descriptions, const TTLInfoMap & ttl_info_map, time_t current_time, bool use_max)
 {
     time_t best_ttl_time = 0;
@@ -232,4 +282,5 @@ std::optional<TTLDescription> selectTTLDescriptionForTTLInfos(const TTLDescripti
     return best_ttl_time ? *best_entry_it : std::optional<TTLDescription>();
 }
 
+
 }

src/Storages/MergeTree/MergeTreeDataPartTTLInfo.h

@@ -14,6 +14,11 @@ struct MergeTreeDataPartTTLInfo
     time_t min = 0;
     time_t max = 0;
 
+    /// This TTL was computed on completely expired part. It doesn't make sense
+    /// to select such parts for TTL again. But make sense to recalcuate TTL
+    /// again for merge with multiple parts.
+    bool finished = false;
+
     void update(time_t time)
     {
         if (time && (!min || time < min))
@@ -28,6 +33,7 @@ struct MergeTreeDataPartTTLInfo
             min = other_info.min;
 
         max = std::max(other_info.max, max);
+        finished &= other_info.finished;
     }
 };
 
@@ -60,6 +66,9 @@ struct MergeTreeDataPartTTLInfos
     void write(WriteBuffer & out) const;
     void update(const MergeTreeDataPartTTLInfos & other_infos);
 
+    /// Has any TTLs which are not calculated on completely expired parts.
+    bool hasAnyNonFinishedTTLs() const;
+
     void updatePartMinMaxTTL(time_t time_min, time_t time_max)
     {
         if (time_min && (!part_min_ttl || time_min < part_min_ttl))

src/Storages/MergeTree/TTLMergeSelector.cpp

@@ -111,6 +111,9 @@ bool TTLDeleteMergeSelector::isTTLAlreadySatisfied(const IMergeSelector::Part &
     if (only_drop_parts)
         return false;
 
+    if (!part.ttl_infos->hasAnyNonFinishedTTLs())
+        return false;
+
     return !part.shall_participate_in_merges;
 }
 

src/Storages/StorageReplicatedMergeTree.cpp

@@ -551,6 +551,10 @@ void StorageReplicatedMergeTree::waitMutationToFinishOnReplicas(
                 break;
         }
 
+        /// This replica inactive, don't check anything
+        if (!inactive_replicas.empty() && inactive_replicas.count(replica))
+            break;
+
         /// It maybe already removed from zk, but local in-memory mutations
         /// state was not updated.
         if (!getZooKeeper()->exists(fs::path(zookeeper_path) / "mutations" / mutation_id))

tests/integration/test_ttl_replicated/test.py

@@ -351,6 +351,7 @@ def test_ttl_compatibility(started_cluster, node_left, node_right, num_run):
                 ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/test_ttl_delete_{suff}', '{replica}')
                 ORDER BY id PARTITION BY toDayOfMonth(date)
                 TTL date + INTERVAL 3 SECOND
+                SETTINGS max_number_of_merges_with_ttl_in_pool=100, max_replicated_merges_with_ttl_in_queue=100
             '''.format(suff=num_run, replica=node.name))
 
         node.query(
@@ -359,6 +360,7 @@ def test_ttl_compatibility(started_cluster, node_left, node_right, num_run):
                 ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/test_ttl_group_by_{suff}', '{replica}')
                 ORDER BY id PARTITION BY toDayOfMonth(date)
                 TTL date + INTERVAL 3 SECOND GROUP BY id SET val = sum(val)
+                SETTINGS max_number_of_merges_with_ttl_in_pool=100, max_replicated_merges_with_ttl_in_queue=100
             '''.format(suff=num_run, replica=node.name))
 
         node.query(
@@ -367,6 +369,7 @@ def test_ttl_compatibility(started_cluster, node_left, node_right, num_run):
                 ENGINE = ReplicatedMergeTree('/clickhouse/tables/test/test_ttl_where_{suff}', '{replica}')
                 ORDER BY id PARTITION BY toDayOfMonth(date)
                 TTL date + INTERVAL 3 SECOND DELETE WHERE id % 2 = 1
+                SETTINGS max_number_of_merges_with_ttl_in_pool=100, max_replicated_merges_with_ttl_in_queue=100
             '''.format(suff=num_run, replica=node.name))
 
     node_left.query("INSERT INTO test_ttl_delete VALUES (now(), 1)")
@@ -397,9 +400,9 @@ def test_ttl_compatibility(started_cluster, node_left, node_right, num_run):
     node_right.query("OPTIMIZE TABLE test_ttl_group_by FINAL")
     node_right.query("OPTIMIZE TABLE test_ttl_where FINAL")
 
-    exec_query_with_retry(node_left, "SYSTEM SYNC REPLICA test_ttl_delete")
-    node_left.query("SYSTEM SYNC REPLICA test_ttl_group_by", timeout=20)
-    node_left.query("SYSTEM SYNC REPLICA test_ttl_where", timeout=20)
+    exec_query_with_retry(node_left, "OPTIMIZE TABLE test_ttl_delete FINAL")
+    node_left.query("OPTIMIZE TABLE test_ttl_group_by FINAL", timeout=20)
+    node_left.query("OPTIMIZE TABLE test_ttl_where FINAL", timeout=20)
 
     # After OPTIMIZE TABLE, it is not guaranteed that everything is merged.
     # Possible scenario (for test_ttl_group_by):
@@ -414,6 +417,10 @@ def test_ttl_compatibility(started_cluster, node_left, node_right, num_run):
     node_right.query("SYSTEM SYNC REPLICA test_ttl_group_by", timeout=20)
     node_right.query("SYSTEM SYNC REPLICA test_ttl_where", timeout=20)
 
+    exec_query_with_retry(node_left, "SYSTEM SYNC REPLICA test_ttl_delete")
+    node_left.query("SYSTEM SYNC REPLICA test_ttl_group_by", timeout=20)
+    node_left.query("SYSTEM SYNC REPLICA test_ttl_where", timeout=20)
+
     assert node_left.query("SELECT id FROM test_ttl_delete ORDER BY id") == "2\n4\n"
     assert node_right.query("SELECT id FROM test_ttl_delete ORDER BY id") == "2\n4\n"
 

tests/integration/test_version_update_after_mutation/test.py

@@ -79,7 +79,10 @@ def test_upgrade_while_mutation(start_cluster):
 
     node3.restart_with_latest_version(signal=9)
 
-    exec_query_with_retry(node3, "ALTER TABLE mt1 DELETE WHERE id > 100000", settings={"mutations_sync": "2"})
+    # wait replica became active
+    exec_query_with_retry(node3, "SYSTEM RESTART REPLICA mt1")
+
+    node3.query("ALTER TABLE mt1 DELETE WHERE id > 100000", settings={"mutations_sync": "2"})
     # will delete nothing, but previous async mutation will finish with this query
 
     assert_eq_with_retry(node3, "SELECT COUNT() from mt1", "50000\n")