ClickHouse/dbms/src/AggregateFunctions/AggregateFunctionWindowFunnel.h
2019-05-17 19:31:29 +08:00

244 lines
7.1 KiB
C++

#pragma once
#include <iostream>
#include <sstream>
#include <unordered_set>
#include <Columns/ColumnsNumber.h>
#include <DataTypes/DataTypeDateTime.h>
#include <DataTypes/DataTypesNumber.h>
#include <IO/ReadHelpers.h>
#include <IO/WriteHelpers.h>
#include <Common/ArenaAllocator.h>
#include <AggregateFunctions/IAggregateFunction.h>
namespace DB
{
namespace ErrorCodes
{
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
}
struct ComparePairFirst final
{
template <typename T1, typename T2>
bool operator()(const std::pair<T1, T2> & lhs, const std::pair<T1, T2> & rhs) const
{
return lhs.first < rhs.first;
}
};
static constexpr auto max_events = 32;
template <typename T>
struct AggregateFunctionWindowFunnelData
{
using TimestampEvent = std::pair<T, UInt8>;
static constexpr size_t bytes_on_stack = 64;
using TimestampEvents = PODArray<TimestampEvent, bytes_on_stack, AllocatorWithStackMemory<Allocator<false>, bytes_on_stack>>;
using Comparator = ComparePairFirst;
bool sorted = true;
TimestampEvents events_list;
size_t size() const
{
return events_list.size();
}
void add(T timestamp, UInt8 event)
{
// Since most events should have already been sorted by timestamp.
if (sorted && events_list.size() > 0 && events_list.back().first > timestamp)
sorted = false;
events_list.emplace_back(timestamp, event);
}
void merge(const AggregateFunctionWindowFunnelData & other)
{
const auto size = events_list.size();
events_list.insert(std::begin(other.events_list), std::end(other.events_list));
/// either sort whole container or do so partially merging ranges afterwards
if (!sorted && !other.sorted)
std::stable_sort(std::begin(events_list), std::end(events_list), Comparator{});
else
{
const auto begin = std::begin(events_list);
const auto middle = std::next(begin, size);
const auto end = std::end(events_list);
if (!sorted)
std::stable_sort(begin, middle, Comparator{});
if (!other.sorted)
std::stable_sort(middle, end, Comparator{});
std::inplace_merge(begin, middle, end, Comparator{});
}
sorted = true;
}
void sort()
{
if (!sorted)
{
std::stable_sort(std::begin(events_list), std::end(events_list), Comparator{});
sorted = true;
}
}
void serialize(WriteBuffer & buf) const
{
writeBinary(sorted, buf);
writeBinary(events_list.size(), buf);
for (const auto & events : events_list)
{
writeBinary(events.first, buf);
writeBinary(events.second, buf);
}
}
void deserialize(ReadBuffer & buf)
{
readBinary(sorted, buf);
size_t size;
readBinary(size, buf);
/// TODO Protection against huge size
events_list.clear();
events_list.reserve(size);
T timestamp;
UInt8 event;
for (size_t i = 0; i < size; ++i)
{
readBinary(timestamp, buf);
readBinary(event, buf);
events_list.emplace_back(timestamp, event);
}
}
};
/** Calculates the max event level in a sliding window.
* The max size of events is 32, that's enough for funnel analytics
*
* Usage:
* - windowFunnel(window)(timestamp, cond1, cond2, cond3, ....)
*/
template <typename T, typename Data>
class AggregateFunctionWindowFunnel final
: public IAggregateFunctionDataHelper<Data, AggregateFunctionWindowFunnel<T, Data>>
{
private:
UInt64 window;
UInt8 events_size;
// Loop through the entire events_list, update the event timestamp value
// The level path must be 1---2---3---...---check_events_size, find the max event level that statisfied the path in the sliding window.
// If found, returns the max event level, else return 0.
// The Algorithm complexity is O(n).
UInt8 getEventLevel(const Data & data) const
{
if (data.size() == 0)
return 0;
if (events_size == 1)
return 1;
const_cast<Data &>(data).sort();
/// events_timestamp stores the timestamp that latest i-th level event happen withing time window after previous level event.
/// timestamp defaults to -1, which unsigned timestamp value never meet
/// there may be some bugs when UInt64 type timstamp overflows Int64, but it works on most cases.
std::vector<Int64> events_timestamp(events_size, -1);
for (const auto & pair : data.events_list)
{
const T & timestamp = pair.first;
const auto & event_idx = pair.second - 1;
if (event_idx == 0)
events_timestamp[0] = timestamp;
else if (events_timestamp[event_idx - 1] >= 0 && timestamp <= events_timestamp[event_idx - 1] + window)
{
events_timestamp[event_idx] = events_timestamp[event_idx - 1];
if (event_idx + 1 == events_size)
return events_size;
}
}
for (size_t event = events_timestamp.size(); event > 0; --event)
{
if (events_timestamp[event - 1] >= 0)
return event;
}
return 0;
}
public:
String getName() const override
{
return "windowFunnel";
}
AggregateFunctionWindowFunnel(const DataTypes & arguments, const Array & params)
: IAggregateFunctionDataHelper<Data, AggregateFunctionWindowFunnel<T, Data>>(arguments, params)
{
events_size = arguments.size() - 1;
window = params.at(0).safeGet<UInt64>();
}
DataTypePtr getReturnType() const override
{
return std::make_shared<DataTypeUInt8>();
}
void add(AggregateDataPtr place, const IColumn ** columns, const size_t row_num, Arena *) const override
{
const auto timestamp = static_cast<const ColumnVector<T> *>(columns[0])->getData()[row_num];
// reverse iteration and stable sorting are needed for events that are qualified by more than one condition.
for (auto i = events_size; i > 0; --i)
{
auto event = static_cast<const ColumnVector<UInt8> *>(columns[i])->getData()[row_num];
if (event)
this->data(place).add(timestamp, i);
}
}
void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs, Arena *) const override
{
this->data(place).merge(this->data(rhs));
}
void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override
{
this->data(place).serialize(buf);
}
void deserialize(AggregateDataPtr place, ReadBuffer & buf, Arena *) const override
{
this->data(place).deserialize(buf);
}
void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const override
{
static_cast<ColumnUInt8 &>(to).getData().push_back(getEventLevel(this->data(place)));
}
const char * getHeaderFilePath() const override
{
return __FILE__;
}
};
}