[Feature] support Group execution

Signed-off-by: stdpain <[email protected]>

be/src/connector/connector.cpp

@@ -80,7 +80,8 @@ Status DataSource::parse_runtime_filters(RuntimeState* state) {
     if (_runtime_filters == nullptr || _runtime_filters->size() == 0) return Status::OK();
     for (const auto& item : _runtime_filters->descriptors()) {
         RuntimeFilterProbeDescriptor* probe = item.second;
-        const JoinRuntimeFilter* filter = probe->runtime_filter();
+        DCHECK(runtime_bloom_filter_eval_context.driver_sequence == -1);
+        const JoinRuntimeFilter* filter = probe->runtime_filter(runtime_bloom_filter_eval_context.driver_sequence);
         if (filter == nullptr) continue;
         SlotId slot_id;
         if (!probe->is_probe_slot_ref(&slot_id)) continue;

be/src/exec/CMakeLists.txt

@@ -269,6 +269,9 @@ set(EXEC_FILES
     pipeline/pipeline.cpp
     pipeline/spill_process_operator.cpp
     pipeline/spill_process_channel.cpp
+    pipeline/group_execution/execution_group.cpp
+    pipeline/group_execution/execution_group_builder.cpp
+    pipeline/group_execution/group_operator.cpp
     workgroup/work_group.cpp
     workgroup/scan_executor.cpp
     workgroup/scan_task_queue.cpp

be/src/exec/aggregate/aggregate_streaming_node.cpp

@@ -213,8 +213,9 @@ pipeline::OpFactories AggregateStreamingNode::decompose_to_pipeline(pipeline::Pi
     size_t degree_of_parallelism = context->source_operator(ops_with_sink)->degree_of_parallelism();
 
     auto should_cache = context->should_interpolate_cache_operator(id(), ops_with_sink[0]);
-    if (!should_cache && _tnode.agg_node.__isset.interpolate_passthrough && _tnode.agg_node.interpolate_passthrough &&
-        context->could_local_shuffle(ops_with_sink)) {
+    bool could_local_shuffle = !should_cache && !context->enable_group_execution();
+    if (could_local_shuffle && _tnode.agg_node.__isset.interpolate_passthrough &&
+        _tnode.agg_node.interpolate_passthrough && context->could_local_shuffle(ops_with_sink)) {
         ops_with_sink = context->maybe_interpolate_local_passthrough_exchange(runtime_state(), id(), ops_with_sink,
                                                                               degree_of_parallelism, true);
     }

be/src/exec/connector_scan_node.cpp

@@ -109,6 +109,9 @@ int ConnectorScanNode::_estimate_max_concurrent_chunks() const {
 }
 
 pipeline::OpFactories ConnectorScanNode::decompose_to_pipeline(pipeline::PipelineBuilderContext* context) {
+    auto exec_group = context->find_exec_group_by_plan_node_id(_id);
+    context->set_current_execution_group(exec_group);
+
     size_t dop = context->dop_of_source_operator(id());
     std::shared_ptr<pipeline::ConnectorScanOperatorFactory> scan_op = nullptr;
     bool stream_data_source = _data_source_provider->stream_data_source();

be/src/exec/cross_join_node.cpp

@@ -609,8 +609,10 @@ std::vector<std::shared_ptr<pipeline::OperatorFactory>> CrossJoinNode::_decompos
                                            std::move(_conjunct_ctxs), std::move(cross_join_context), _join_op);
     // Initialize OperatorFactory's fields involving runtime filters.
     this->init_runtime_filter_for_operator(left_factory.get(), context, rc_rf_probe_collector);
-    left_ops = context->maybe_interpolate_local_adpative_passthrough_exchange(runtime_state(), id(), left_ops,
-                                                                              context->degree_of_parallelism());
+    if (context->is_colocate_group()) {
+        left_ops = context->maybe_interpolate_local_adpative_passthrough_exchange(runtime_state(), id(), left_ops,
+                                                                                  context->degree_of_parallelism());
+    }
     left_ops.emplace_back(std::move(left_factory));
 
     if (limit() != -1) {

be/src/exec/exchange_node.cpp

@@ -247,7 +247,8 @@ void ExchangeNode::debug_string(int indentation_level, std::stringstream* out) c
 
 pipeline::OpFactories ExchangeNode::decompose_to_pipeline(pipeline::PipelineBuilderContext* context) {
     using namespace pipeline;
-
+    auto exec_group = context->find_exec_group_by_plan_node_id(_id);
+    context->set_current_execution_group(exec_group);
     OpFactories operators;
     if (!_is_merging) {
         auto* query_ctx = context->runtime_state()->query_ctx();

be/src/exec/exec_node.cpp

@@ -220,7 +220,7 @@ Status ExecNode::prepare(RuntimeState* state) {
     _mem_tracker.reset(new MemTracker(_runtime_profile.get(), std::make_tuple(true, false, false), "", -1,
                                       _runtime_profile->name(), nullptr));
     RETURN_IF_ERROR(Expr::prepare(_conjunct_ctxs, state));
-    RETURN_IF_ERROR(_runtime_filter_collector.prepare(state, row_desc(), _runtime_profile.get()));
+    RETURN_IF_ERROR(_runtime_filter_collector.prepare(state, _runtime_profile.get()));
 
     // TODO(zc):
     // AddExprCtxsToFree(_conjunct_ctxs);

be/src/exec/hash_join_node.cpp

@@ -25,6 +25,8 @@
 #include "exec/hash_joiner.h"
 #include "exec/pipeline/chunk_accumulate_operator.h"
 #include "exec/pipeline/exchange/exchange_source_operator.h"
+#include "exec/pipeline/group_execution/execution_group_builder.h"
+#include "exec/pipeline/group_execution/execution_group_fwd.h"
 #include "exec/pipeline/hashjoin/hash_join_build_operator.h"
 #include "exec/pipeline/hashjoin/hash_join_probe_operator.h"
 #include "exec/pipeline/hashjoin/hash_joiner_factory.h"
@@ -38,6 +40,8 @@
 #include "exprs/expr.h"
 #include "exprs/in_const_predicate.hpp"
 #include "exprs/runtime_filter_bank.h"
+#include "gen_cpp/PlanNodes_types.h"
+#include "gen_cpp/RuntimeFilter_types.h"
 #include "gutil/strings/substitute.h"
 #include "runtime/current_thread.h"
 #include "runtime/runtime_filter_worker.h"
@@ -425,30 +429,27 @@ void HashJoinNode::close(RuntimeState* state) {
 template <class HashJoinerFactory, class HashJoinBuilderFactory, class HashJoinProbeFactory>
 pipeline::OpFactories HashJoinNode::_decompose_to_pipeline(pipeline::PipelineBuilderContext* context) {
     using namespace pipeline;
-
     auto rhs_operators = child(1)->decompose_to_pipeline(context);
+    // "col NOT IN (NULL, val1, val2)" always returns false, so hash join should
+    // return empty result in this case. Hash join cannot be divided into multiple
+    // partitions in this case. Otherwise, NULL value in right table will only occur
+    // in some partition hash table, and other partition hash table can output chunk.
+    // TODO: support nullaware left anti join with shuffle join
+    DCHECK(_join_type != TJoinOp::NULL_AWARE_LEFT_ANTI_JOIN || _distribution_mode == TJoinDistributionMode::BROADCAST);
     if (_distribution_mode == TJoinDistributionMode::BROADCAST) {
         // Broadcast join need only create one hash table, because all the HashJoinProbeOperators
         // use the same hash table with their own different probe states.
         rhs_operators = context->maybe_interpolate_local_passthrough_exchange(runtime_state(), id(), rhs_operators);
     } else {
-        // "col NOT IN (NULL, val1, val2)" always returns false, so hash join should
-        // return empty result in this case. Hash join cannot be divided into multiple
-        // partitions in this case. Otherwise, NULL value in right table will only occur
-        // in some partition hash table, and other partition hash table can output chunk.
-        if (_join_type == TJoinOp::NULL_AWARE_LEFT_ANTI_JOIN) {
-            rhs_operators = context->maybe_interpolate_local_passthrough_exchange(runtime_state(), id(), rhs_operators);
-        } else {
-            // Both HashJoin{Build, Probe}Operator are parallelized
-            // There are two ways of shuffle
-            // 1. If previous op is ExchangeSourceOperator and its partition type is HASH_PARTITIONED or BUCKET_SHUFFLE_HASH_PARTITIONED
-            // then pipeline level shuffle will be performed at sender side (ExchangeSinkOperator), so
-            // there is no need to perform local shuffle again at receiver side
-            // 2. Otherwise, add LocalExchangeOperator
-            // to shuffle multi-stream into #degree_of_parallelism# streams each of that pipes into HashJoin{Build, Probe}Operator.
-            rhs_operators = context->maybe_interpolate_local_shuffle_exchange(runtime_state(), id(), rhs_operators,
-                                                                              _build_equivalence_partition_expr_ctxs);
-        }
+        // Both HashJoin{Build, Probe}Operator are parallelized
+        // There are two ways of shuffle
+        // 1. If previous op is ExchangeSourceOperator and its partition type is HASH_PARTITIONED or BUCKET_SHUFFLE_HASH_PARTITIONED
+        // then pipeline level shuffle will be performed at sender side (ExchangeSinkOperator), so
+        // there is no need to perform local shuffle again at receiver side
+        // 2. Otherwise, add LocalExchangeOperator
+        // to shuffle multi-stream into #degree_of_parallelism# streams each of that pipes into HashJoin{Build, Probe}Operator.
+        rhs_operators = context->maybe_interpolate_local_shuffle_exchange(runtime_state(), id(), rhs_operators,
+                                                                          _build_equivalence_partition_expr_ctxs);
     }
 
     size_t num_right_partitions = context->source_operator(rhs_operators)->degree_of_parallelism();
@@ -468,12 +469,8 @@ pipeline::OpFactories HashJoinNode::_decompose_to_pipeline(pipeline::PipelineBui
                           _build_runtime_filters, _output_slots, _output_slots, _distribution_mode, false);
     auto hash_joiner_factory = std::make_shared<starrocks::pipeline::HashJoinerFactory>(param);
 
-    // add placeholder into RuntimeFilterHub, HashJoinBuildOperator will generate runtime filters and fill it,
-    // Operators consuming the runtime filters will inspect this placeholder.
-    context->fragment_context()->runtime_filter_hub()->add_holder(_id);
-
     // Create a shared RefCountedRuntimeFilterCollector
-    auto&& rc_rf_probe_collector = std::make_shared<RcRfProbeCollector>(2, std::move(this->runtime_filter_collector()));
+    auto rc_rf_probe_collector = std::make_shared<RcRfProbeCollector>(2, std::move(this->runtime_filter_collector()));
     // In default query engine, we only build one hash table for join right child.
     // But for pipeline query engine, we will build `num_right_partitions` hash tables, so we need to enlarge the limit
 
@@ -508,12 +505,20 @@ pipeline::OpFactories HashJoinNode::_decompose_to_pipeline(pipeline::PipelineBui
     DeferOp pop_dependent_pipeline([context]() { context->pop_dependent_pipeline(); });
 
     auto lhs_operators = child(0)->decompose_to_pipeline(context);
-    if (_distribution_mode == TJoinDistributionMode::BROADCAST) {
-        lhs_operators = context->maybe_interpolate_local_passthrough_exchange(runtime_state(), id(), lhs_operators,
-                                                                              context->degree_of_parallelism());
+    auto join_colocate_group = context->find_exec_group_by_plan_node_id(_id);
+    if (join_colocate_group->type() == ExecutionGroupType::COLOCATE) {
+        DCHECK(context->current_execution_group()->is_colocate_exec_group());
+        DCHECK_EQ(context->current_execution_group(), join_colocate_group);
+        context->set_current_execution_group(join_colocate_group);
     } else {
-        if (_join_type == TJoinOp::NULL_AWARE_LEFT_ANTI_JOIN) {
-            lhs_operators = context->maybe_interpolate_local_passthrough_exchange(runtime_state(), id(), lhs_operators);
+        // left child is colocate group, but current join is not colocate group
+        if (context->current_execution_group()->is_colocate_exec_group()) {
+            lhs_operators = context->interpolate_grouped_exchange(_id, lhs_operators);
+        }
+
+        if (_distribution_mode == TJoinDistributionMode::BROADCAST) {
+            lhs_operators = context->maybe_interpolate_local_passthrough_exchange(runtime_state(), id(), lhs_operators,
+                                                                                  context->degree_of_parallelism());
         } else {
             auto* rhs_source_op = context->source_operator(rhs_operators);
             auto* lhs_source_op = context->source_operator(lhs_operators);
@@ -522,13 +527,27 @@ pipeline::OpFactories HashJoinNode::_decompose_to_pipeline(pipeline::PipelineBui
                                                                               _probe_equivalence_partition_expr_ctxs);
         }
     }
+
     lhs_operators.emplace_back(std::move(probe_op));
+    // add placeholder into RuntimeFilterHub, HashJoinBuildOperator will generate runtime filters and fill it,
+    // Operators consuming the runtime filters will inspect this placeholder.
+    if (context->is_colocate_group() && _distribution_mode == TJoinDistributionMode::COLOCATE) {
+        for (auto runtime_filter_build_desc : _build_runtime_filters) {
+            // local colocate won't generate global runtime filter
+            DCHECK(!runtime_filter_build_desc->has_remote_targets());
+            runtime_filter_build_desc->set_num_colocate_partition(num_right_partitions);
+        }
+        context->fragment_context()->runtime_filter_hub()->add_holder(_id, num_right_partitions);
+    } else {
+        context->fragment_context()->runtime_filter_hub()->add_holder(_id);
+    }
 
     if (limit() != -1) {
         lhs_operators.emplace_back(std::make_shared<LimitOperatorFactory>(context->next_operator_id(), id(), limit()));
     }
 
-    if (_hash_join_node.__isset.interpolate_passthrough && _hash_join_node.interpolate_passthrough) {
+    if (_hash_join_node.__isset.interpolate_passthrough && _hash_join_node.interpolate_passthrough &&
+        !context->is_colocate_group()) {
         lhs_operators = context->maybe_interpolate_local_passthrough_exchange(runtime_state(), id(), lhs_operators,
                                                                               context->degree_of_parallelism(), true);
     }

be/src/exec/hash_joiner.cpp

@@ -571,6 +571,7 @@ Status HashJoiner::_create_runtime_bloom_filters(RuntimeState* state, int64_t li
         bool eq_null = _is_null_safes[expr_order];
         MutableJoinRuntimeFilterPtr filter = nullptr;
         auto multi_partitioned = rf_desc->layout().pipeline_level_multi_partitioned();
+        multi_partitioned |= rf_desc->num_colocate_partition() > 0;
         if (multi_partitioned) {
             LogicalType build_type = rf_desc->build_expr_type();
             filter = std::shared_ptr<JoinRuntimeFilter>(

be/src/exec/olap_scan_node.cpp

@@ -872,6 +872,9 @@ pipeline::OpFactories OlapScanNode::decompose_to_pipeline(pipeline::PipelineBuil
     scan_prepare_op->set_degree_of_parallelism(shared_morsel_queue ? 1 : dop);
     this->init_runtime_filter_for_operator(scan_prepare_op.get(), context, rc_rf_probe_collector);
 
+    auto exec_group = context->find_exec_group_by_plan_node_id(_id);
+    context->set_current_execution_group(exec_group);
+
     auto scan_prepare_pipeline = pipeline::OpFactories{
             std::move(scan_prepare_op),
             std::make_shared<pipeline::NoopSinkOperatorFactory>(context->next_operator_id(), id()),

be/src/exec/olap_scan_prepare.cpp

@@ -387,7 +387,7 @@ void OlapScanConjunctsManager::normalize_join_runtime_filter(const SlotDescripto
     // bloom runtime filter
     for (const auto& it : runtime_filters->descriptors()) {
         const RuntimeFilterProbeDescriptor* desc = it.second;
-        const JoinRuntimeFilter* rf = desc->runtime_filter();
+        const JoinRuntimeFilter* rf = desc->runtime_filter(driver_sequence);
         using RangeType = ColumnValueRange<RangeValueType>;
         using ValueType = typename RunTimeTypeTraits<SlotType>::CppType;
         SlotId slot_id;
@@ -397,7 +397,7 @@ void OlapScanConjunctsManager::normalize_join_runtime_filter(const SlotDescripto
 
         // runtime filter existed and does not have null.
         if (rf == nullptr) {
-            rt_ranger_params.add_unarrived_rf(desc, &slot);
+            rt_ranger_params.add_unarrived_rf(desc, &slot, driver_sequence);
             continue;
         }
 

be/src/exec/olap_scan_prepare.h

@@ -36,6 +36,7 @@ class OlapScanConjunctsManager {
     const std::vector<std::string>* key_column_names;
     const RuntimeFilterProbeCollector* runtime_filters;
     RuntimeState* runtime_state;
+    int32_t driver_sequence = -1;
 
 private:
     // fields generated by parsing conjunct ctxs.

be/src/exec/pipeline/exchange/sink_buffer.cpp

@@ -34,7 +34,7 @@ SinkBuffer::SinkBuffer(FragmentContext* fragment_ctx, const std::vector<TPlanFra
           _is_dest_merge(is_dest_merge),
           _rpc_http_min_size(fragment_ctx->runtime_state()->get_rpc_http_min_size()),
           _sent_audit_stats_frequency_upper_limit(
-                  std::max((int64_t)64, BitUtil::RoundUpToPowerOfTwo(fragment_ctx->num_drivers() * 4))) {
+                  std::max((int64_t)64, BitUtil::RoundUpToPowerOfTwo(fragment_ctx->total_dop() * 4))) {
     for (const auto& dest : destinations) {
         const auto& instance_id = dest.fragment_instance_id;
         // instance_id.lo == -1 indicates that the destination is pseudo for bucket shuffle join.