mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-24 08:32:02 +00:00
Merge remote-tracking branch 'origin/master' into yandex-to-clickhouse-in-configs
This commit is contained in:
Alexey Milovidov
commit
4ade6cc5da
7
debian/control
vendored
7
debian/control
vendored
@ -5,12 +5,9 @@ Maintainer: Alexey Milovidov <milovidov@clickhouse.com>
|
||||
Build-Depends: debhelper (>= 9),
|
||||
cmake | cmake3,
|
||||
ninja-build,
|
||||
clang-11,
|
||||
llvm-11,
|
||||
clang-13,
|
||||
llvm-13,
|
||||
libc6-dev,
|
||||
libicu-dev,
|
||||
libreadline-dev,
|
||||
gperf,
|
||||
tzdata
|
||||
Standards-Version: 3.9.8
|
||||
|
||||
|
||||
@ -6,4 +6,4 @@ toc_title: Cloud
|
||||
# ClickHouse Cloud Service {#clickhouse-cloud-service}
|
||||
|
||||
!!! info "Info"
|
||||
Detailed public description for ClickHouse cloud services is not ready yet, please [contact us](/company/#contact) to learn more.
|
||||
Detailed public description for ClickHouse cloud services is not ready yet, please [contact us](https://clickhouse.com/company/#contact) to learn more.
|
||||
|
||||
@ -6,4 +6,4 @@ toc_title: Support
|
||||
# ClickHouse Commercial Support Service {#clickhouse-commercial-support-service}
|
||||
|
||||
!!! info "Info"
|
||||
Detailed public description for ClickHouse support services is not ready yet, please [contact us](/company/#contact) to learn more.
|
||||
Detailed public description for ClickHouse support services is not ready yet, please [contact us](https://clickhouse.com/company/#contact) to learn more.
|
||||
|
||||
@ -114,15 +114,25 @@ To do so, create the `/Library/LaunchDaemons/limit.maxfiles.plist` file with the
|
||||
</plist>
|
||||
```
|
||||
|
||||
Execute the following command:
|
||||
Give the file correct permissions:
|
||||
|
||||
``` bash
|
||||
sudo chown root:wheel /Library/LaunchDaemons/limit.maxfiles.plist
|
||||
```
|
||||
|
||||
Reboot.
|
||||
Validate that the file is correct:
|
||||
|
||||
To check if it’s working, you can use `ulimit -n` command.
|
||||
``` bash
|
||||
plutil /Library/LaunchDaemons/limit.maxfiles.plist
|
||||
```
|
||||
|
||||
Load the file (or reboot):
|
||||
|
||||
``` bash
|
||||
sudo launchctl load -w /Library/LaunchDaemons/limit.maxfiles.plist
|
||||
```
|
||||
|
||||
To check if it’s working, use the `ulimit -n` or `launchctl limit maxfiles` commands.
|
||||
|
||||
## Run ClickHouse server:
|
||||
|
||||
|
||||
@ -8,4 +8,4 @@ toc_title: "\u30AF\u30E9\u30A6\u30C9"
|
||||
# ClickHouse Cloud Service {#clickhouse-cloud-service}
|
||||
|
||||
!!! info "Info"
|
||||
Detailed public description for ClickHouse cloud services is not ready yet, please [contact us](/company/#contact) to learn more.
|
||||
Detailed public description for ClickHouse cloud services is not ready yet, please [contact us](https://clickhouse.com/company/#contact) to learn more.
|
||||
|
||||
@ -6,4 +6,4 @@ toc_title: "Поставщики облачных услуг ClickHouse"
|
||||
# Поставщики облачных услуг ClickHouse {#clickhouse-cloud-service-providers}
|
||||
|
||||
!!! info "Info"
|
||||
Detailed public description for ClickHouse cloud services is not ready yet, please [contact us](/company/#contact) to learn more.
|
||||
Detailed public description for ClickHouse cloud services is not ready yet, please [contact us](https://clickhouse.com/company/#contact) to learn more.
|
||||
|
||||
@ -8,4 +8,4 @@ toc_title: 云
|
||||
# ClickHouse Cloud Service {#clickhouse-cloud-service}
|
||||
|
||||
!!! info "Info"
|
||||
Detailed public description for ClickHouse cloud services is not ready yet, please [contact us](/company/#contact) to learn more.
|
||||
Detailed public description for ClickHouse cloud services is not ready yet, please [contact us](https://clickhouse.com/company/#contact) to learn more.
|
||||
|
||||
@ -6,4 +6,4 @@ toc_title: 支持
|
||||
# ClickHouse 商业支持服务提供商 {#clickhouse-commercial-support-service-providers}
|
||||
|
||||
!!! info "Info"
|
||||
Detailed public description for ClickHouse support services is not ready yet, please [contact us](/company/#contact) to learn more.
|
||||
Detailed public description for ClickHouse support services is not ready yet, please [contact us](https://clickhouse.com/company/#contact) to learn more.
|
||||
|
||||
@ -0,0 +1,98 @@
|
||||
#include <AggregateFunctions/IAggregateFunction.h>
|
||||
#include <AggregateFunctions/AggregateFunctionFactory.h>
|
||||
#include <AggregateFunctions/FactoryHelpers.h>
|
||||
#include <Common/ExponentiallySmoothedCounter.h>
|
||||
#include <Common/FieldVisitorConvertToNumber.h>
|
||||
#include <DataTypes/DataTypesNumber.h>
|
||||
#include <IO/ReadHelpers.h>
|
||||
#include <IO/WriteHelpers.h>
|
||||
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
namespace ErrorCodes
|
||||
{
|
||||
extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
|
||||
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
|
||||
}
|
||||
|
||||
|
||||
/** See the comments in ExponentiallySmoothedCounter.h
|
||||
*/
|
||||
class AggregateFunctionExponentialMovingAverage final
|
||||
: public IAggregateFunctionDataHelper<ExponentiallySmoothedAverage, AggregateFunctionExponentialMovingAverage>
|
||||
{
|
||||
private:
|
||||
String name;
|
||||
Float64 half_decay;
|
||||
|
||||
public:
|
||||
AggregateFunctionExponentialMovingAverage(const DataTypes & argument_types_, const Array & params)
|
||||
: IAggregateFunctionDataHelper<ExponentiallySmoothedAverage, AggregateFunctionExponentialMovingAverage>(argument_types_, params)
|
||||
{
|
||||
if (params.size() != 1)
|
||||
throw Exception{"Aggregate function " + getName() + " requires exactly one parameter: half decay time.",
|
||||
ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH};
|
||||
|
||||
half_decay = applyVisitor(FieldVisitorConvertToNumber<Float64>(), params[0]);
|
||||
}
|
||||
|
||||
String getName() const override
|
||||
{
|
||||
return "exponentialMovingAverage";
|
||||
}
|
||||
|
||||
DataTypePtr getReturnType() const override
|
||||
{
|
||||
return std::make_shared<DataTypeNumber<Float64>>();
|
||||
}
|
||||
|
||||
bool allocatesMemoryInArena() const override { return false; }
|
||||
|
||||
void add(AggregateDataPtr __restrict place, const IColumn ** columns, size_t row_num, Arena *) const override
|
||||
{
|
||||
const auto & value = columns[0]->getFloat64(row_num);
|
||||
const auto & time = columns[1]->getFloat64(row_num);
|
||||
this->data(place).add(value, time, half_decay);
|
||||
}
|
||||
|
||||
void merge(AggregateDataPtr __restrict place, ConstAggregateDataPtr rhs, Arena *) const override
|
||||
{
|
||||
this->data(place).merge(this->data(rhs), half_decay);
|
||||
}
|
||||
|
||||
void serialize(ConstAggregateDataPtr __restrict place, WriteBuffer & buf) const override
|
||||
{
|
||||
writeBinary(this->data(place).value, buf);
|
||||
writeBinary(this->data(place).time, buf);
|
||||
}
|
||||
|
||||
void deserialize(AggregateDataPtr __restrict place, ReadBuffer & buf, Arena *) const override
|
||||
{
|
||||
readBinary(this->data(place).value, buf);
|
||||
readBinary(this->data(place).time, buf);
|
||||
}
|
||||
|
||||
void insertResultInto(AggregateDataPtr __restrict place, IColumn & to, Arena *) const override
|
||||
{
|
||||
auto & column = assert_cast<ColumnVector<Float64> &>(to);
|
||||
column.getData().push_back(this->data(place).get(half_decay));
|
||||
}
|
||||
};
|
||||
|
||||
void registerAggregateFunctionExponentialMovingAverage(AggregateFunctionFactory & factory)
|
||||
{
|
||||
factory.registerFunction("exponentialMovingAverage",
|
||||
[](const std::string & name, const DataTypes & argument_types, const Array & params, const Settings *) -> AggregateFunctionPtr
|
||||
{
|
||||
assertBinary(name, argument_types);
|
||||
for (const auto & type : argument_types)
|
||||
if (!isNumber(*type))
|
||||
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
|
||||
"Both arguments for aggregate function {} must have numeric type, got {}", name, type->getName());
|
||||
return std::make_shared<AggregateFunctionExponentialMovingAverage>(argument_types, params);
|
||||
});
|
||||
}
|
||||
|
||||
}
|
||||
@ -50,7 +50,9 @@ void registerAggregateFunctionWelchTTest(AggregateFunctionFactory &);
|
||||
void registerAggregateFunctionStudentTTest(AggregateFunctionFactory &);
|
||||
void registerAggregateFunctionSingleValueOrNull(AggregateFunctionFactory &);
|
||||
void registerAggregateFunctionSequenceNextNode(AggregateFunctionFactory &);
|
||||
void registerAggregateFunctionExponentialMovingAverage(AggregateFunctionFactory &);
|
||||
void registerAggregateFunctionSparkbar(AggregateFunctionFactory &);
|
||||
void registerAggregateFunctionIntervalLengthSum(AggregateFunctionFactory &);
|
||||
|
||||
class AggregateFunctionCombinatorFactory;
|
||||
void registerAggregateFunctionCombinatorIf(AggregateFunctionCombinatorFactory &);
|
||||
@ -66,8 +68,6 @@ void registerAggregateFunctionCombinatorDistinct(AggregateFunctionCombinatorFact
|
||||
|
||||
void registerWindowFunctions(AggregateFunctionFactory & factory);
|
||||
|
||||
void registerAggregateFunctionIntervalLengthSum(AggregateFunctionFactory &);
|
||||
|
||||
void registerAggregateFunctions()
|
||||
{
|
||||
{
|
||||
@ -116,11 +116,11 @@ void registerAggregateFunctions()
|
||||
registerAggregateFunctionWelchTTest(factory);
|
||||
registerAggregateFunctionStudentTTest(factory);
|
||||
registerAggregateFunctionSingleValueOrNull(factory);
|
||||
registerAggregateFunctionIntervalLengthSum(factory);
|
||||
registerAggregateFunctionExponentialMovingAverage(factory);
|
||||
registerAggregateFunctionSparkbar(factory);
|
||||
|
||||
registerWindowFunctions(factory);
|
||||
|
||||
registerAggregateFunctionIntervalLengthSum(factory);
|
||||
registerAggregateFunctionSparkbar(factory);
|
||||
}
|
||||
|
||||
{
|
||||
|
||||
@ -130,10 +130,16 @@ void Connection::connect(const ConnectionTimeouts & timeouts)
|
||||
}
|
||||
catch (Poco::TimeoutException & e)
|
||||
{
|
||||
/// disconnect() will reset the socket, get timeouts before.
|
||||
const std::string & message = fmt::format("{} ({}, receive timeout {} ms, send timeout {} ms)",
|
||||
e.displayText(), getDescription(),
|
||||
socket->getReceiveTimeout().totalMilliseconds(),
|
||||
socket->getSendTimeout().totalMilliseconds());
|
||||
|
||||
disconnect();
|
||||
|
||||
/// Add server address to exception. Also Exception will remember stack trace. It's a pity that more precise exception type is lost.
|
||||
throw NetException(e.displayText() + " (" + getDescription() + ")", ErrorCodes::SOCKET_TIMEOUT);
|
||||
throw NetException(message, ErrorCodes::SOCKET_TIMEOUT);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
114
src/Common/ExponentiallySmoothedCounter.h
Normal file
114
src/Common/ExponentiallySmoothedCounter.h
Normal file
@ -0,0 +1,114 @@
|
||||
#pragma once
|
||||
|
||||
#include <cmath>
|
||||
#include <limits>
|
||||
|
||||
|
||||
namespace DB
|
||||
{
|
||||
|
||||
/** https://en.wikipedia.org/wiki/Exponential_smoothing
|
||||
*
|
||||
* Exponentially smoothed average over time is weighted average with weight proportional to negative exponent of the time passed.
|
||||
* For example, the last value is taken with weight 1/2, the value one second ago with weight 1/4, two seconds ago - 1/8, etc.
|
||||
* It can be understood as an average over sliding window, but with different kernel.
|
||||
*
|
||||
* As an advantage, it is easy to update. Instead of collecting values and calculating a series of x1 / 2 + x2 / 4 + x3 / 8...
|
||||
* just calculate x_old / 2 + x_new / 2.
|
||||
*
|
||||
* It is often used for resource usage metrics. For example, "load average" in Linux is exponentially smoothed moving average.
|
||||
* We can use exponentially smoothed counters in query scheduler.
|
||||
*/
|
||||
struct ExponentiallySmoothedAverage
|
||||
{
|
||||
/// The sum. It contains the last value and all previous values scaled accordingly to the difference of their time to the reference time.
|
||||
/// Older values are summed with exponentially smaller coefficients.
|
||||
/// To obtain the average, you have to divide this value to the sum of all coefficients (see 'sumWeights').
|
||||
|
||||
double value = 0;
|
||||
|
||||
/// The point of reference. You can translate the value to a different point of reference (see 'remap').
|
||||
/// You can imagine that the value exponentially decays over time.
|
||||
/// But it is also meaningful to treat the whole counters as constants over time but in another non-linear coordinate system,
|
||||
/// that inflates over time, while the counter itself does not change
|
||||
/// (it continues to be the same physical quantity, but only changes its representation in the "usual" coordinate system).
|
||||
|
||||
/// Recap: the whole counter is one dimensional and it can be represented as a curve formed by two dependent coordinates in 2d plane,
|
||||
/// the space can be represented by (value, time) coordinates, and the curves will be exponentially decaying over time,
|
||||
/// alternatively the space can be represented by (exponentially_adjusted_value, time) and then the curves will be constant over time.
|
||||
|
||||
/// Also useful analogy is the exponential representation of a number: x = a * exp(b) = a * e (where e = exp(b))
|
||||
/// a number x is represented by a curve in 2d plane that can be parametrized by coordinates (a, b) or (a, e).
|
||||
|
||||
double time = 0;
|
||||
|
||||
|
||||
ExponentiallySmoothedAverage()
|
||||
{
|
||||
}
|
||||
|
||||
ExponentiallySmoothedAverage(double current_value, double current_time)
|
||||
: value(current_value), time(current_time)
|
||||
{
|
||||
}
|
||||
|
||||
/// How much value decays after time_passed.
|
||||
static double scale(double time_passed, double half_decay_time)
|
||||
{
|
||||
return exp2(-time_passed / half_decay_time);
|
||||
}
|
||||
|
||||
/// Sum of weights of all values. Divide by it to get the average.
|
||||
static double sumWeights(double half_decay_time)
|
||||
{
|
||||
double k = scale(1.0, half_decay_time);
|
||||
return 1 / (1 - k);
|
||||
}
|
||||
|
||||
/// Obtain the same counter in another point of reference.
|
||||
ExponentiallySmoothedAverage remap(double current_time, double half_decay_time) const
|
||||
{
|
||||
return ExponentiallySmoothedAverage(value * scale(current_time - time, half_decay_time), current_time);
|
||||
}
|
||||
|
||||
/// Merge two counters. It is done by moving to the same point of reference and summing the values.
|
||||
static ExponentiallySmoothedAverage merge(const ExponentiallySmoothedAverage & a, const ExponentiallySmoothedAverage & b, double half_decay_time)
|
||||
{
|
||||
if (a.time > b.time)
|
||||
return ExponentiallySmoothedAverage(a.value + b.remap(a.time, half_decay_time).value, a.time);
|
||||
if (a.time < b.time)
|
||||
return ExponentiallySmoothedAverage(b.value + a.remap(b.time, half_decay_time).value, b.time);
|
||||
|
||||
return ExponentiallySmoothedAverage(a.value + b.value, a.time);
|
||||
}
|
||||
|
||||
void merge(const ExponentiallySmoothedAverage & other, double half_decay_time)
|
||||
{
|
||||
*this = merge(*this, other, half_decay_time);
|
||||
}
|
||||
|
||||
void add(double new_value, double current_time, double half_decay_time)
|
||||
{
|
||||
merge(ExponentiallySmoothedAverage(new_value, current_time), half_decay_time);
|
||||
}
|
||||
|
||||
/// Calculate the average from the sum.
|
||||
double get(double half_decay_time) const
|
||||
{
|
||||
return value / sumWeights(half_decay_time);
|
||||
}
|
||||
|
||||
double get(double current_time, double half_decay_time) const
|
||||
{
|
||||
return remap(current_time, half_decay_time).get(half_decay_time);
|
||||
}
|
||||
|
||||
/// Compare two counters (by moving to the same point of reference and comparing sums).
|
||||
/// You can store the counters in container and sort it without changing the stored values over time.
|
||||
bool less(const ExponentiallySmoothedAverage & other, double half_decay_time) const
|
||||
{
|
||||
return remap(other.time, half_decay_time).value < other.value;
|
||||
}
|
||||
};
|
||||
|
||||
}
|
||||
@ -54,7 +54,9 @@ bool ReadBufferFromPocoSocket::nextImpl()
|
||||
}
|
||||
catch (const Poco::TimeoutException &)
|
||||
{
|
||||
throw NetException("Timeout exceeded while reading from socket (" + peer_address.toString() + ")", ErrorCodes::SOCKET_TIMEOUT);
|
||||
throw NetException(fmt::format("Timeout exceeded while reading from socket ({}, {} ms)",
|
||||
peer_address.toString(),
|
||||
socket.impl()->getReceiveTimeout().totalMilliseconds()), ErrorCodes::SOCKET_TIMEOUT);
|
||||
}
|
||||
catch (const Poco::IOException & e)
|
||||
{
|
||||
|
||||
@ -57,7 +57,9 @@ void WriteBufferFromPocoSocket::nextImpl()
|
||||
}
|
||||
catch (const Poco::TimeoutException &)
|
||||
{
|
||||
throw NetException("Timeout exceeded while writing to socket (" + peer_address.toString() + ")", ErrorCodes::SOCKET_TIMEOUT);
|
||||
throw NetException(fmt::format("Timeout exceeded while writing to socket ({}, {} ms)",
|
||||
peer_address.toString(),
|
||||
socket.impl()->getSendTimeout().totalMilliseconds()), ErrorCodes::SOCKET_TIMEOUT);
|
||||
}
|
||||
catch (const Poco::IOException & e)
|
||||
{
|
||||
|
||||
@ -24,7 +24,7 @@
|
||||
FROM numbers_mt(200000000)
|
||||
SETTINGS max_threads = 8
|
||||
</fill_query>
|
||||
<query>SELECT sum(x) FROM nullfloat32</query>
|
||||
<query>SELECT sum(x::Nullable(Float64)) FROM nullfloat32</query>
|
||||
<query short="1">SELECT sum(x) FROM nullfloat32</query>
|
||||
<query short="1">SELECT sum(x::Nullable(Float64)) FROM nullfloat32</query>
|
||||
<drop_query>DROP TABLE IF EXISTS nullfloat32</drop_query>
|
||||
</test>
|
||||
|
||||
130
tests/queries/0_stateless/2020_exponential_smoothing.reference
Normal file
130
tests/queries/0_stateless/2020_exponential_smoothing.reference
Normal file
@ -0,0 +1,130 @@
|
||||
1 0 0.5
|
||||
0 1 0.25
|
||||
0 2 0.125
|
||||
0 3 0.0625
|
||||
0 4 0.03125
|
||||
0 5 0.015625
|
||||
0 6 0.0078125
|
||||
0 7 0.00390625
|
||||
0 8 0.001953125
|
||||
0 9 0.0009765625
|
||||
1 0 0.067
|
||||
0 1 0.062
|
||||
0 2 0.058
|
||||
0 3 0.054
|
||||
0 4 0.051
|
||||
0 5 0.047
|
||||
0 6 0.044
|
||||
0 7 0.041
|
||||
0 8 0.038
|
||||
0 9 0.036
|
||||
0 0 0
|
||||
1 1 0.5
|
||||
2 2 1.25
|
||||
3 3 2.125
|
||||
4 4 3.0625
|
||||
5 5 4.03125
|
||||
6 6 5.015625
|
||||
7 7 6.0078125
|
||||
8 8 7.00390625
|
||||
9 9 8.001953125
|
||||
1 0 0.067 ███▎
|
||||
0 1 0.062 ███
|
||||
0 2 0.058 ██▊
|
||||
0 3 0.054 ██▋
|
||||
0 4 0.051 ██▌
|
||||
0 5 0.047 ██▎
|
||||
0 6 0.044 ██▏
|
||||
0 7 0.041 ██
|
||||
0 8 0.038 █▊
|
||||
0 9 0.036 █▋
|
||||
0 10 0.033 █▋
|
||||
0 11 0.031 █▌
|
||||
0 12 0.029 █▍
|
||||
0 13 0.027 █▎
|
||||
0 14 0.025 █▎
|
||||
0 15 0.024 █▏
|
||||
0 16 0.022 █
|
||||
0 17 0.021 █
|
||||
0 18 0.019 ▊
|
||||
0 19 0.018 ▊
|
||||
0 20 0.017 ▋
|
||||
0 21 0.016 ▋
|
||||
0 22 0.015 ▋
|
||||
0 23 0.014 ▋
|
||||
0 24 0.013 ▋
|
||||
1 25 0.079 ███▊
|
||||
1 26 0.14 ███████
|
||||
1 27 0.198 █████████▊
|
||||
1 28 0.252 ████████████▌
|
||||
1 29 0.302 ███████████████
|
||||
1 30 0.349 █████████████████▍
|
||||
1 31 0.392 ███████████████████▌
|
||||
1 32 0.433 █████████████████████▋
|
||||
1 33 0.471 ███████████████████████▌
|
||||
1 34 0.506 █████████████████████████▎
|
||||
1 35 0.539 ██████████████████████████▊
|
||||
1 36 0.57 ████████████████████████████▌
|
||||
1 37 0.599 █████████████████████████████▊
|
||||
1 38 0.626 ███████████████████████████████▎
|
||||
1 39 0.651 ████████████████████████████████▌
|
||||
1 40 0.674 █████████████████████████████████▋
|
||||
1 41 0.696 ██████████████████████████████████▋
|
||||
1 42 0.716 ███████████████████████████████████▋
|
||||
1 43 0.735 ████████████████████████████████████▋
|
||||
1 44 0.753 █████████████████████████████████████▋
|
||||
1 45 0.77 ██████████████████████████████████████▍
|
||||
1 46 0.785 ███████████████████████████████████████▎
|
||||
1 47 0.8 ███████████████████████████████████████▊
|
||||
1 48 0.813 ████████████████████████████████████████▋
|
||||
1 49 0.825 █████████████████████████████████████████▎
|
||||
1 0 0.5 █████████████████████████
|
||||
0 1 0.25 ████████████▌
|
||||
0 2 0.125 ██████▎
|
||||
0 3 0.062 ███
|
||||
0 4 0.031 █▌
|
||||
1 5 0.516 █████████████████████████▋
|
||||
0 6 0.258 ████████████▊
|
||||
0 7 0.129 ██████▍
|
||||
0 8 0.064 ███▏
|
||||
0 9 0.032 █▌
|
||||
1 10 0.516 █████████████████████████▋
|
||||
0 11 0.258 ████████████▊
|
||||
0 12 0.129 ██████▍
|
||||
0 13 0.065 ███▏
|
||||
0 14 0.032 █▌
|
||||
1 15 0.516 █████████████████████████▋
|
||||
0 16 0.258 ████████████▊
|
||||
0 17 0.129 ██████▍
|
||||
0 18 0.065 ███▏
|
||||
0 19 0.032 █▌
|
||||
1 20 0.516 █████████████████████████▋
|
||||
0 21 0.258 ████████████▊
|
||||
0 22 0.129 ██████▍
|
||||
0 23 0.065 ███▏
|
||||
0 24 0.032 █▌
|
||||
1 25 0.516 █████████████████████████▋
|
||||
0 26 0.258 ████████████▊
|
||||
0 27 0.129 ██████▍
|
||||
0 28 0.065 ███▏
|
||||
0 29 0.032 █▌
|
||||
1 30 0.516 █████████████████████████▋
|
||||
0 31 0.258 ████████████▊
|
||||
0 32 0.129 ██████▍
|
||||
0 33 0.065 ███▏
|
||||
0 34 0.032 █▌
|
||||
1 35 0.516 █████████████████████████▋
|
||||
0 36 0.258 ████████████▊
|
||||
0 37 0.129 ██████▍
|
||||
0 38 0.065 ███▏
|
||||
0 39 0.032 █▌
|
||||
1 40 0.516 █████████████████████████▋
|
||||
0 41 0.258 ████████████▊
|
||||
0 42 0.129 ██████▍
|
||||
0 43 0.065 ███▏
|
||||
0 44 0.032 █▌
|
||||
1 45 0.516 █████████████████████████▋
|
||||
0 46 0.258 ████████████▊
|
||||
0 47 0.129 ██████▍
|
||||
0 48 0.065 ███▏
|
||||
0 49 0.032 █▌
|
||||
32
tests/queries/0_stateless/2020_exponential_smoothing.sql
Normal file
32
tests/queries/0_stateless/2020_exponential_smoothing.sql
Normal file
@ -0,0 +1,32 @@
|
||||
SELECT number = 0 AS value, number AS time, exponentialMovingAverage(1)(value, time) OVER (ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS exp_smooth FROM numbers(10);
|
||||
SELECT value, time, round(exp_smooth, 3) FROM (SELECT number = 0 AS value, number AS time, exponentialMovingAverage(10)(value, time) OVER (ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS exp_smooth FROM numbers(10));
|
||||
|
||||
SELECT number AS value, number AS time, exponentialMovingAverage(1)(value, time) OVER (ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS exp_smooth FROM numbers(10);
|
||||
|
||||
SELECT
|
||||
value,
|
||||
time,
|
||||
round(exp_smooth, 3),
|
||||
bar(exp_smooth, 0, 1, 50) AS bar
|
||||
FROM
|
||||
(
|
||||
SELECT
|
||||
(number = 0) OR (number >= 25) AS value,
|
||||
number AS time,
|
||||
exponentialMovingAverage(10)(value, time) OVER (ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS exp_smooth
|
||||
FROM numbers(50)
|
||||
);
|
||||
|
||||
SELECT
|
||||
value,
|
||||
time,
|
||||
round(exp_smooth, 3),
|
||||
bar(exp_smooth, 0, 1, 50) AS bar
|
||||
FROM
|
||||
(
|
||||
SELECT
|
||||
(number % 5) = 0 AS value,
|
||||
number AS time,
|
||||
exponentialMovingAverage(1)(value, time) OVER (ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS exp_smooth
|
||||
FROM numbers(50)
|
||||
);
|
||||
8
tests/queries/0_stateless/2021_exponential_sum.reference
Normal file
8
tests/queries/0_stateless/2021_exponential_sum.reference
Normal file
@ -0,0 +1,8 @@
|
||||
0.0009765625
|
||||
0.0009775171065493646
|
||||
0.0009775171065493646
|
||||
0.0009775171065493646
|
||||
0.0009775171065493646
|
||||
0.0009775171065493646
|
||||
0.0009775171065493646
|
||||
0.0009775171065493646
|
||||
9
tests/queries/0_stateless/2021_exponential_sum.sql
Normal file
9
tests/queries/0_stateless/2021_exponential_sum.sql
Normal file
@ -0,0 +1,9 @@
|
||||
-- Check that it is deterministic
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM numbers_mt(10);
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM numbers_mt(100);
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM numbers_mt(1000);
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM numbers_mt(10000);
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM numbers_mt(100000);
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM numbers_mt(1000000);
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM numbers_mt(10000000);
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM numbers_mt(100000000);
|
||||
@ -0,0 +1,5 @@
|
||||
0.009775171065493644
|
||||
0.009775171065493644
|
||||
0.009775171065493644
|
||||
0.009775171065493644
|
||||
0.009775171065493644
|
||||
6
tests/queries/0_stateless/2021_exponential_sum_shard.sql
Normal file
6
tests/queries/0_stateless/2021_exponential_sum_shard.sql
Normal file
@ -0,0 +1,6 @@
|
||||
-- Check that it is deterministic
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM remote('127.0.0.{1..10}', numbers_mt(1000));
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM remote('127.0.0.{1..10}', numbers_mt(10000));
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM remote('127.0.0.{1..10}', numbers_mt(100000));
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM remote('127.0.0.{1..10}', numbers_mt(1000000));
|
||||
WITH number % 10 = 0 AS value, number AS time SELECT exponentialMovingAverage(1)(value, time) AS exp_smooth FROM remote('127.0.0.{1..10}', numbers_mt(10000000));
|
||||
Loading…
Reference in New Issue
Block a user