support fill missing tumble windows for aggr by setting

Author: yl-lisen

src/Core/Settings.h

@@ -808,6 +808,7 @@ static constexpr UInt64 operator""_GiB(unsigned long long value)
     M(Float, replay_speed, 0., "Control the replay speed..0 < replay_speed < 1, means replay slower.replay_speed == 1, means replay by actual ingest interval.1 < replay_speed < <max_limit>, means replay faster", 0) \
     M(UInt64, max_events, 0, "Total events to generate for random stream", 0) \
     M(Int64, eps, -1, "control the random stream eps in query time, defalut value is -1, if it is 0 means no limit.", 0) \
+    M(Bool, fill_missing_window_for_aggr, false, "fill missing window if not exist for aggr query", 0) \
 // End of GLOBAL_SETTINGS
 
 #define CONFIGURABLE_GLOBAL_SETTINGS(M) \

src/Interpreters/InterpreterSelectQuery.cpp

@@ -3268,10 +3268,22 @@ void InterpreterSelectQuery::executeStreamingAggregation(
     /// 2) `shuffle by`: calculating light substream without substream ID (The data have been shuffled by `LightShufflingTransform`)
     if (query_info.hasPartitionByKeys() || light_shuffled)
         query_plan.addStep(std::make_unique<Streaming::AggregatingStepWithSubstream>(
-            query_plan.getCurrentDataStream(), std::move(params), final, emit_version, data_stream_semantic_pair.isChangelogOutput()));
+            query_plan.getCurrentDataStream(),
+            std::move(params),
+            final,
+            emit_version,
+            data_stream_semantic_pair.isChangelogOutput(),
+            settings.fill_missing_window_for_aggr));
     else
         query_plan.addStep(std::make_unique<Streaming::AggregatingStep>(
-            query_plan.getCurrentDataStream(), std::move(params), final, merge_threads, temporary_data_merge_threads, emit_version, data_stream_semantic_pair.isChangelogOutput()));
+            query_plan.getCurrentDataStream(),
+            std::move(params),
+            final,
+            merge_threads,
+            temporary_data_merge_threads,
+            emit_version,
+            data_stream_semantic_pair.isChangelogOutput(),
+            settings.fill_missing_window_for_aggr));
 }
 
 /// Resolve input / output data stream semantic.

src/Interpreters/Streaming/WindowCommon.cpp

@@ -873,5 +873,39 @@ void reassignWindow(Chunk & chunk, const Window & window, bool time_col_is_datet
     chunk.setColumns(std::move(columns), rows);
 }
 
+void addMissingWindow(
+    Chunk & chunk, const Window & window, bool time_col_is_datetime64, std::optional<size_t> start_pos, std::optional<size_t> end_pos)
+{
+    auto add_window_time = [&](ColumnPtr & column, Int64 ts) {
+        auto col = IColumn::mutate(std::move(column));
+        if (time_col_is_datetime64)
+            col->insert(ts);
+        else
+            col->insert(static_cast<UInt32>(ts));
+        column = std::move(col);
+    };
+
+    auto add_default = [&](ColumnPtr & column) {
+        auto col = IColumn::mutate(std::move(column));
+        col->insertDefault();
+        column = std::move(col);
+    };
+
+    auto rows = chunk.rows();
+    auto columns = chunk.detachColumns();
+    for (size_t pos = 0; auto & column : columns)
+    {
+        if (start_pos.has_value() && pos == *start_pos)
+            add_window_time(column, window.start);
+        else if (end_pos.has_value() && pos == *end_pos)
+            add_window_time(column, window.end);
+        else
+            add_default(column);
+
+        ++pos;
+    }
+
+    chunk.setColumns(std::move(columns), rows + 1);
+}
 }
 }

src/Interpreters/Streaming/WindowCommon.h

@@ -298,5 +298,7 @@ void assignWindow(
     Columns & columns, const WindowInterval & interval, size_t time_col_pos, bool time_col_is_datetime64, const DateLUTImpl & time_zone);
 void reassignWindow(
     Chunk & chunk, const Window & window, bool time_col_is_datetime64, std::optional<size_t> start_pos, std::optional<size_t> end_pos);
+void addMissingWindow(
+    Chunk & chunk, const Window & window, bool time_col_is_datetime64, std::optional<size_t> start_pos, std::optional<size_t> end_pos);
 }
 }

src/Processors/QueryPlan/Streaming/AggregatingStep.cpp

@@ -37,14 +37,17 @@ AggregatingStep::AggregatingStep(
     size_t merge_threads_,
     size_t temporary_data_merge_threads_,
     bool emit_version_,
-    bool emit_changelog_)
-    : ITransformingStep(input_stream_, AggregatingTransformParams::getHeader(params_, final_, emit_version_, emit_changelog_), getTraits(), false)
+    bool emit_changelog_,
+    bool fill_missing_window_)
+    : ITransformingStep(
+        input_stream_, AggregatingTransformParams::getHeader(params_, final_, emit_version_, emit_changelog_), getTraits(), false)
     , params(std::move(params_))
     , final(std::move(final_))
     , merge_threads(merge_threads_)
     , temporary_data_merge_threads(temporary_data_merge_threads_)
     , emit_version(emit_version_)
     , emit_changelog(emit_changelog_)
+    , fill_missing_window(fill_missing_window_)
 {
 }
 
@@ -69,7 +72,8 @@ void AggregatingStep::transformPipeline(QueryPipelineBuilder & pipeline, const B
       * 1. Parallel aggregation is done, and the results should be merged in parallel.
       * 2. An aggregation is done with store of temporary data on the disk, and they need to be merged in a memory efficient way.
       */
-    auto transform_params = std::make_shared<AggregatingTransformParams>(std::move(params), final, emit_version, emit_changelog);
+    auto transform_params
+        = std::make_shared<AggregatingTransformParams>(std::move(params), final, emit_version, emit_changelog, fill_missing_window);
 
     /// If there are several sources, then we perform parallel aggregation
     if (pipeline.getNumStreams() > 1)

src/Processors/QueryPlan/Streaming/AggregatingStep.h

@@ -22,7 +22,8 @@ class AggregatingStep : public ITransformingStep
         size_t merge_threads_,
         size_t temporary_data_merge_threads_,
         bool emit_version_,
-        bool emit_changelog_);
+        bool emit_changelog_,
+        bool fill_missing_window_);
 
     String getName() const override { return "StreamingAggregating"; }
 
@@ -43,6 +44,7 @@ class AggregatingStep : public ITransformingStep
 
     bool emit_version;
     bool emit_changelog;
+    bool fill_missing_window;
 
     Processors aggregating;
 };

src/Processors/QueryPlan/Streaming/AggregatingStepWithSubstream.cpp

@@ -37,13 +37,19 @@ ITransformingStep::Traits getTraits()
 }
 
 AggregatingStepWithSubstream::AggregatingStepWithSubstream(
-    const DataStream & input_stream_, Aggregator::Params params_, bool final_, bool emit_version_, bool emit_changelog_)
+    const DataStream & input_stream_,
+    Aggregator::Params params_,
+    bool final_,
+    bool emit_version_,
+    bool emit_changelog_,
+    bool fill_missing_window_)
     : ITransformingStep(
         input_stream_, AggregatingTransformParams::getHeader(params_, final_, emit_version_, emit_changelog_), getTraits(), false)
     , params(std::move(params_))
     , final(std::move(final_))
     , emit_version(emit_version_)
     , emit_changelog(emit_changelog_)
+    , fill_missing_window(fill_missing_window_)
 {
 }
 
@@ -64,7 +70,7 @@ void AggregatingStepWithSubstream::transformPipeline(QueryPipelineBuilder & pipe
         params.group_by_two_level_threshold_bytes = 0;
     }
 
-    auto transform_params = std::make_shared<AggregatingTransformParams>(std::move(params), final, emit_version, emit_changelog);
+    auto transform_params = std::make_shared<AggregatingTransformParams>(std::move(params), final, emit_version, emit_changelog, fill_missing_window);
 
     /// If there are several sources, we perform aggregation separately (Assume it's shuffled data by substream keys)
     pipeline.addSimpleTransform([&](const Block & header) -> std::shared_ptr<IProcessor> {

src/Processors/QueryPlan/Streaming/AggregatingStepWithSubstream.h

@@ -19,7 +19,8 @@ class AggregatingStepWithSubstream final : public ITransformingStep
         Aggregator::Params params_,
         bool final_,
         bool emit_version_,
-        bool emit_changelog_);
+        bool emit_changelog_,
+        bool fill_missing_window_);
 
     String getName() const override { return "StreamingAggregatingWithSubstream"; }
 
@@ -37,6 +38,7 @@ class AggregatingStepWithSubstream final : public ITransformingStep
     bool final;
     bool emit_version;
     bool emit_changelog;
+    bool fill_missing_window;
 
     Processors aggregating;
 };

src/Processors/Transforms/Streaming/AggregatingTransform.h

@@ -21,14 +21,16 @@ struct AggregatingTransformParams
     bool only_merge = false;
     bool emit_version = false;
     bool emit_changelog = false;
+    bool fill_missing_window = false;
     DataTypePtr version_type;
 
-    AggregatingTransformParams(const Aggregator::Params & params_, bool final_, bool emit_version_, bool emit_changelog_)
+    AggregatingTransformParams(const Aggregator::Params & params_, bool final_, bool emit_version_, bool emit_changelog_, bool fill_missing_window_)
         : aggregator(params_)
         , params(aggregator.getParams())
         , final(final_)
         , emit_version(emit_version_)
         , emit_changelog(emit_changelog_)
+        , fill_missing_window(fill_missing_window_)
     {
         if (emit_version)
             version_type = DataTypeFactory::instance().get("int64");

src/Processors/Transforms/Streaming/TumbleAggregatingTransform.cpp

@@ -79,6 +79,43 @@ WindowsWithBuckets TumbleAggregatingTransform::getLocalFinalizedWindowsWithBucke
                 {time_bucket}});
     }
 
+    if (params->fill_missing_window)
+    {
+        auto next_window_end = addTime(
+            many_data->finalized_window_end.load(std::memory_order_relaxed),
+            window_params.interval_kind,
+            window_params.window_interval,
+            *window_params.time_zone,
+            window_params.time_scale);
+
+        auto it = windows_with_buckets.begin();
+        while (next_window_end <= watermark_)
+        {
+            /// Add missing window if not exist
+            if (it == windows_with_buckets.end() || next_window_end != it->window.end) [[unlikely]]
+            {
+                Window missing_window
+                    = {addTime(
+                           next_window_end,
+                           window_params.interval_kind,
+                           -window_params.window_interval,
+                           *window_params.time_zone,
+                           window_params.time_scale),
+                       next_window_end};
+                it = windows_with_buckets.insert(it, WindowWithBuckets{.window = std::move(missing_window), .buckets = {}});
+            }
+
+            next_window_end = addTime(
+                next_window_end,
+                window_params.interval_kind,
+                window_params.window_interval,
+                *window_params.time_zone,
+                window_params.time_scale);
+
+            ++it;
+        }
+    }
+
     return windows_with_buckets;
 }