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#pragma once
#include <ydb/library/yql/dq/tasks/dq_tasks_graph.h>
#include <ydb/library/yql/dq/opt/dq_opt.h>
#include <ydb/library/yql/dq/type_ann/dq_type_ann.h>
namespace NYql::NDq {
using TChannelLogFunc = std::function<void(ui64 channel, ui64 from, ui64 to, TStringBuf type, bool enableSpilling)>;
template <class TGraphMeta, class TStageInfoMeta, class TTaskMeta, class TInputMeta, class TOutputMeta>
void CommonBuildTasks(double aggrTasksRatio, ui32 maxHashShuffleTasks, TDqTasksGraph<TGraphMeta, TStageInfoMeta, TTaskMeta, TInputMeta, TOutputMeta>& graph, const NNodes::TDqPhyStage& stage) {
ui32 partitionsCount = 1;
const auto partitionMode = TDqStageSettings::Parse(stage).PartitionMode;
auto& stageInfo = graph.GetStageInfo(stage);
for (ui32 inputIndex = 0; inputIndex < stage.Inputs().Size(); ++inputIndex) {
const auto& input = stage.Inputs().Item(inputIndex);
YQL_ENSURE(input.Maybe<NNodes::TCallable>());
// Current assumptions:
// 1. `Broadcast` can not be the 1st stage input unless it's a single input
// 2. All stage's inputs, except 1st one, must be a `Broadcast` or `UnionAll` !!! or `HashShuffle` !!!
if (inputIndex == 0) {
YQL_ENSURE(stage.Inputs().Size() == 1 || !input.Maybe<NNodes::TDqCnBroadcast>());
} else {
YQL_ENSURE(
input.Maybe<NNodes::TDqCnBroadcast>() ||
input.Maybe<NNodes::TDqCnUnionAll>() ||
input.Maybe<NNodes::TDqCnHashShuffle>(), "" << input.Ref().Content());
}
if (input.Maybe<NNodes::TDqCnUnionAll>() || input.Maybe<NNodes::TDqCnMerge>()) {
// Prevent UnionAll after Map or Shuffle
YQL_ENSURE(partitionsCount == 1);
} else if (auto maybeCnShuffle = input.Maybe<NNodes::TDqCnHashShuffle>()) {
auto shuffle = maybeCnShuffle.Cast();
const auto& originStageInfo = graph.GetStageInfo(shuffle.Output().Stage());
ui32 srcTasks = originStageInfo.Tasks.size();
if (TDqStageSettings::EPartitionMode::Aggregate == partitionMode) {
srcTasks = ui32(srcTasks * aggrTasksRatio);
} else {
YQL_ENSURE(TDqStageSettings::EPartitionMode::Default == partitionMode);
}
partitionsCount = std::max(partitionsCount, srcTasks);
partitionsCount = std::min(partitionsCount, maxHashShuffleTasks);
} else if (auto maybeCnMap = input.Maybe<NNodes::TDqCnMap>()) {
auto cnMap = maybeCnMap.Cast();
const auto& originStageInfo = graph.GetStageInfo(cnMap.Output().Stage());
maxHashShuffleTasks = partitionsCount = originStageInfo.Tasks.size();
}
}
for (ui32 i = 0; i < partitionsCount; ++i) {
graph.AddTask(stageInfo);
}
}
template <typename TGraph>
void BuildUnionAllChannels(TGraph& graph, const typename TGraph::TStageInfoType& stageInfo, ui32 inputIndex,
const typename TGraph::TStageInfoType& inputStageInfo, ui32 outputIndex, bool enableSpilling,
const TChannelLogFunc& logFunc)
{
YQL_ENSURE(stageInfo.Tasks.size() == 1, "Multiple tasks on union all input. StageId: " << stageInfo.Id << " " << stageInfo.Tasks.size());
auto& targetTask = graph.GetTask(stageInfo.Tasks[0]);
for (auto& originTaskId : inputStageInfo.Tasks) {
auto& originTask = graph.GetTask(originTaskId);
auto& channel = graph.AddChannel();
channel.SrcStageId = inputStageInfo.Id;
channel.SrcTask = originTaskId;
channel.SrcOutputIndex = outputIndex;
channel.DstStageId = stageInfo.Id;
channel.DstTask = targetTask.Id;
channel.DstInputIndex = inputIndex;
channel.InMemory = !enableSpilling || inputStageInfo.OutputsCount == 1;
auto& taskInput = targetTask.Inputs[inputIndex];
taskInput.Channels.push_back(channel.Id);
auto& taskOutput = originTask.Outputs[outputIndex];
taskOutput.Type = TTaskOutputType::Map;
taskOutput.Channels.push_back(channel.Id);
logFunc(channel.Id, originTaskId, targetTask.Id, "UnionAll/Map", !channel.InMemory);
}
}
template <typename TGraph>
void BuildUnionAllChannels(TGraph& graph, const NNodes::TDqPhyStage& stage, ui32 inputIndex,
const TChannelLogFunc& logFunc)
{
auto& stageInfo = graph.GetStageInfo(stage);
auto dqUnion = stage.Inputs().Item(inputIndex).Cast<NNodes::TDqCnUnionAll>();
auto& inputStageInfo = graph.GetStageInfo(dqUnion.Output().Stage());
auto outputIndex = FromString<ui32>(dqUnion.Output().Index().Value());
BuildUnionAllChannels(graph, stageInfo, inputIndex, inputStageInfo, outputIndex, false, logFunc);
}
template <typename TGraph, typename TKeyColumns>
void BuildHashShuffleChannels(TGraph& graph, const typename TGraph::TStageInfoType& stageInfo, ui32 inputIndex,
const typename TGraph::TStageInfoType& inputStageInfo, ui32 outputIndex, const TKeyColumns& keyColumns,
bool enableSpilling, const TChannelLogFunc& logFunc)
{
for (auto& originTaskId : inputStageInfo.Tasks) {
auto& originTask = graph.GetTask(originTaskId);
auto& taskOutput = originTask.Outputs[outputIndex];
taskOutput.Type = TTaskOutputType::HashPartition;
for (const auto& keyColumn : keyColumns) {
taskOutput.KeyColumns.push_back(keyColumn);
}
taskOutput.PartitionsCount = stageInfo.Tasks.size();
for (auto& targetTaskId : stageInfo.Tasks) {
auto& targetTask = graph.GetTask(targetTaskId);
auto& channel = graph.AddChannel();
channel.SrcStageId = inputStageInfo.Id;
channel.SrcTask = originTask.Id;
channel.SrcOutputIndex = outputIndex;
channel.DstStageId = stageInfo.Id;
channel.DstTask = targetTask.Id;
channel.DstInputIndex = inputIndex;
channel.InMemory = !enableSpilling || inputStageInfo.OutputsCount == 1;
taskOutput.Channels.push_back(channel.Id);
auto& taskInput = targetTask.Inputs[inputIndex];
taskInput.Channels.push_back(channel.Id);
logFunc(channel.Id, originTask.Id, targetTask.Id, "Shuffle/HashPartition", !channel.InMemory);
}
}
}
template <typename TGraph>
void BuildHashShuffleChannels(TGraph& graph, const NNodes::TDqPhyStage& stage, ui32 inputIndex,
const TChannelLogFunc& logFunc)
{
auto& stageInfo = graph.GetStageInfo(stage);
auto shuffle = stage.Inputs().Item(inputIndex).Cast<NNodes::TDqCnHashShuffle>();
auto& originStageInfo = graph.GetStageInfo(shuffle.Output().Stage());
auto outputIndex = FromString<ui32>(shuffle.Output().Index().Value());
TVector<TString> keyColumns;
for (const auto& keyColumn : shuffle.KeyColumns()) {
keyColumns.push_back(TString(keyColumn));
}
BuildHashShuffleChannels(graph, stageInfo, inputIndex, originStageInfo, outputIndex, keyColumns, false, logFunc);
}
template <typename TGraph>
void BuildMapChannels(TGraph& graph, const typename TGraph::TStageInfoType& stageInfo, ui32 inputIndex,
const typename TGraph::TStageInfoType& inputStageInfo, ui32 outputIndex, bool enableSpilling,
const TChannelLogFunc& logFunc)
{
auto& originTasks = inputStageInfo.Tasks;
auto& targetTasks = stageInfo.Tasks;
YQL_ENSURE(originTasks.size() == targetTasks.size(),
"" << originTasks.size() << " != " << targetTasks.size());
for (size_t i = 0; i < originTasks.size(); ++i) {
auto originTaskId = originTasks[i];
auto targetTaskId = targetTasks[i];
auto& channel = graph.AddChannel();
channel.SrcStageId = inputStageInfo.Id;
channel.SrcTask = originTaskId;
channel.SrcOutputIndex = outputIndex;
channel.DstStageId = stageInfo.Id;
channel.DstTask = targetTaskId;
channel.DstInputIndex = inputIndex;
channel.InMemory = !enableSpilling || inputStageInfo.OutputsCount == 1;
auto& originTask = graph.GetTask(originTaskId);
auto& targetTask = graph.GetTask(targetTaskId);
auto& taskInput = targetTask.Inputs[inputIndex];
taskInput.Channels.push_back(channel.Id);
auto& taskOutput = originTask.Outputs[outputIndex];
taskOutput.Type = TTaskOutputType::Map;
taskOutput.Channels.push_back(channel.Id);
logFunc(channel.Id, originTaskId, targetTaskId, "Map/Map", !channel.InMemory);
}
}
template <typename TGraph>
void BuildMapChannels(TGraph& graph, const NNodes::TDqPhyStage& stage, ui32 inputIndex,
const TChannelLogFunc& logFunc)
{
auto& stageInfo = graph.GetStageInfo(stage);
auto cnMap = stage.Inputs().Item(inputIndex).Cast<NNodes::TDqCnMap>();
auto& originStageInfo = graph.GetStageInfo(cnMap.Output().Stage());
auto outputIndex = FromString<ui32>(cnMap.Output().Index().Value());
BuildMapChannels(graph, stageInfo, inputIndex, originStageInfo, outputIndex, false /*spilling*/, logFunc);
}
template <typename TGraph>
void BuildBroadcastChannels(TGraph& graph, const typename TGraph::TStageInfoType& stageInfo, ui32 inputIndex,
const typename TGraph::TStageInfoType& inputStageInfo, ui32 outputIndex, bool enableSpilling,
const TChannelLogFunc& logFunc)
{
YQL_ENSURE(inputStageInfo.Tasks.size() == 1);
auto originTaskId = inputStageInfo.Tasks[0];
auto& targetTasks = stageInfo.Tasks;
auto& originTask = graph.GetTask(originTaskId);
auto& taskOutput = originTask.Outputs[outputIndex];
taskOutput.Type = TTaskOutputType::Broadcast;
for (size_t i = 0; i < targetTasks.size(); ++i) {
auto targetTaskId = targetTasks[i];
auto& channel = graph.AddChannel();
channel.SrcStageId = inputStageInfo.Id;
channel.SrcTask = originTaskId;
channel.SrcOutputIndex = outputIndex;
channel.DstStageId = stageInfo.Id;
channel.DstTask = targetTaskId;
channel.DstInputIndex = inputIndex;
channel.InMemory = !enableSpilling || inputStageInfo.OutputsCount == 1;
auto& targetTask = graph.GetTask(targetTaskId);
auto& taskInput = targetTask.Inputs[inputIndex];
taskInput.Channels.push_back(channel.Id);
taskOutput.Channels.push_back(channel.Id);
logFunc(channel.Id, originTaskId, targetTaskId, "Broadcast/Broadcast", !channel.InMemory);
}
}
template <typename TGraph>
void BuildBroadcastChannels(TGraph& graph, const NNodes::TDqPhyStage& stage, ui32 inputIndex,
const TChannelLogFunc& logFunc)
{
auto& stageInfo = graph.GetStageInfo(stage);
auto cnBroadcast = stage.Inputs().Item(inputIndex).Cast<NNodes::TDqCnBroadcast>();
auto& originStageInfo = graph.GetStageInfo(cnBroadcast.Output().Stage());
auto outputIndex = FromString<ui32>(cnBroadcast.Output().Index().Value());
BuildBroadcastChannels(graph, stageInfo, inputIndex, originStageInfo, outputIndex, false, logFunc);
}
template <typename TGraph>
void BuildMergeChannels(TGraph& graph, const typename TGraph::TStageInfoType& stageInfo, ui32 inputIndex,
const typename TGraph::TStageInfoType& inputStageInfo, ui32 outputIndex, const TVector<TSortColumn>& sortColumns,
const TChannelLogFunc& logFunc)
{
YQL_ENSURE(stageInfo.Tasks.size() == 1, "Multiple tasks on merge input. StageId: " << stageInfo.Id);
auto& targetTask = graph.GetTask(stageInfo.Tasks[0]);
for (auto& originTaskId : inputStageInfo.Tasks) {
auto& originTask = graph.GetTask(originTaskId);
auto& channel = graph.AddChannel();
channel.SrcStageId = inputStageInfo.Id;
channel.SrcTask = originTaskId;
channel.SrcOutputIndex = outputIndex;
channel.DstStageId = stageInfo.Id;
channel.DstTask = targetTask.Id;
channel.DstInputIndex = inputIndex;
channel.InMemory = true;
auto& taskInput = targetTask.Inputs[inputIndex];
TMergeTaskInput mergeTaskInput(sortColumns);
taskInput.ConnectionInfo = std::move(mergeTaskInput);
taskInput.Channels.push_back(channel.Id);
auto& taskOutput = originTask.Outputs[outputIndex];
taskOutput.Type = TTaskOutputType::Map;
taskOutput.Channels.push_back(channel.Id);
logFunc(channel.Id, originTaskId, targetTask.Id, "Merge/Map", !channel.InMemory);
}
}
template <typename TGraph>
void BuildMergeChannels(TGraph& graph, const NNodes::TDqPhyStage& stage, ui32 inputIndex,
const TChannelLogFunc& logFunc)
{
auto& stageInfo = graph.GetStageInfo(stage);
auto cnMerge = stage.Inputs().Item(inputIndex).Cast<NNodes::TDqCnMerge>();
auto& originStageInfo = graph.GetStageInfo(cnMerge.Output().Stage());
auto outputIndex = FromString<ui32>(cnMerge.Output().Index().Value());
TVector<TSortColumn> sortColumns;
for (const auto& sortKeyColumn : cnMerge.SortColumns()) {
auto sortDirection = sortKeyColumn.SortDirection().Value();
YQL_ENSURE(sortDirection == NNodes::TTopSortSettings::AscendingSort
|| sortDirection == NNodes::TTopSortSettings::DescendingSort);
sortColumns.emplace_back(
TSortColumn(sortKeyColumn.Column().StringValue(), sortDirection == NNodes::TTopSortSettings::AscendingSort)
);
}
BuildMergeChannels(graph, stageInfo, inputIndex, originStageInfo, outputIndex, sortColumns, logFunc);
}
}
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