add ThreadPool / Scheduler code
This commit is contained in:
4
.gitignore
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4
.gitignore
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.idea
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.gradle
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bin
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build
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25
README.md
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25
README.md
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## 基础架构服务实现 DEMO
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### 线程池实现
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1. ThreadSea
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Deepseek 生成版本, 参考了 JDK 的实现, 但是没有完全实现, 只是实现了核心功能: 核心/非核心线程调度, 任务队列, 线程池状态管理, 线程池关闭, 线程池监控等.
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2. ThreadGrok
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Grok 版本, 在 Deepseek 基础上再次精简, 只保留了核心/非核心线程调度功能, 去掉了线程池状态管理, 线程池关闭, 线程池监控等.
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3. ThreadLake
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自己实现的版本, 同样只保留了核心/非核心线程调度功能
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### 调度器实现
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1. SeqenceScheduler
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调度任务, 使用线程池并行顺序化执行任务
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2. CombineScheduler
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调度任务, 使用线程池合并同时间的任务一起执行
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42
build.gradle
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42
build.gradle
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buildscript {
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ext {
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kotlin_version = '1.8.0'
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}
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repositories {
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mavenLocal()
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maven { url 'https://maven.aliyun.com/repository/gradle-plugin' }
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maven { url 'https://maven.aliyun.com/repository/central' }
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maven { url 'https://maven.aliyun.com/repository/public' }
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mavenCentral()
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}
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dependencies {
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classpath "org.jetbrains.kotlin:kotlin-gradle-plugin:$kotlin_version"
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}
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}
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apply plugin: 'idea'
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apply plugin: 'java'
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apply plugin: 'kotlin'
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ext {
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spring_version = "2.6.8"
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}
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group = 'pangu'
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version = '0.1.0'
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repositories {
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mavenLocal()
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maven { url 'https://maven.aliyun.com/repository/gradle-plugin' }
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maven { url 'https://maven.aliyun.com/repository/central' }
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maven { url 'https://maven.aliyun.com/repository/public' }
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mavenCentral()
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}
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dependencies {
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implementation "org.jetbrains.kotlin:kotlin-stdlib-jdk8:$kotlin_version"
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implementation "org.jetbrains.kotlin:kotlin-reflect:$kotlin_version"
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testImplementation group: 'junit', name: 'junit', version: '4.12'
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}
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1
gradle.properties
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1
gradle.properties
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kotlin.code.style=official
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BIN
gradle/wrapper/gradle-wrapper.jar
vendored
Executable file
BIN
gradle/wrapper/gradle-wrapper.jar
vendored
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6
gradle/wrapper/gradle-wrapper.properties
vendored
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6
gradle/wrapper/gradle-wrapper.properties
vendored
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#Tue May 21 20:15:48 CST 2024
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distributionBase=GRADLE_USER_HOME
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distributionPath=wrapper/dists
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distributionUrl=https\://services.gradle.org/distributions/gradle-7.4.2-bin.zip
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zipStoreBase=GRADLE_USER_HOME
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zipStorePath=wrapper/dists
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234
gradlew
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234
gradlew
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#!/bin/sh
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#
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# Copyright © 2015-2021 the original authors.
|
||||
#
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||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# https://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
#
|
||||
|
||||
##############################################################################
|
||||
#
|
||||
# Gradle start up script for POSIX generated by Gradle.
|
||||
#
|
||||
# Important for running:
|
||||
#
|
||||
# (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is
|
||||
# noncompliant, but you have some other compliant shell such as ksh or
|
||||
# bash, then to run this script, type that shell name before the whole
|
||||
# command line, like:
|
||||
#
|
||||
# ksh Gradle
|
||||
#
|
||||
# Busybox and similar reduced shells will NOT work, because this script
|
||||
# requires all of these POSIX shell features:
|
||||
# * functions;
|
||||
# * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,
|
||||
# «${var#prefix}», «${var%suffix}», and «$( cmd )»;
|
||||
# * compound commands having a testable exit status, especially «case»;
|
||||
# * various built-in commands including «command», «set», and «ulimit».
|
||||
#
|
||||
# Important for patching:
|
||||
#
|
||||
# (2) This script targets any POSIX shell, so it avoids extensions provided
|
||||
# by Bash, Ksh, etc; in particular arrays are avoided.
|
||||
#
|
||||
# The "traditional" practice of packing multiple parameters into a
|
||||
# space-separated string is a well documented source of bugs and security
|
||||
# problems, so this is (mostly) avoided, by progressively accumulating
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||||
# options in "$@", and eventually passing that to Java.
|
||||
#
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||||
# Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS,
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||||
# and GRADLE_OPTS) rely on word-splitting, this is performed explicitly;
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||||
# see the in-line comments for details.
|
||||
#
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||||
# There are tweaks for specific operating systems such as AIX, CygWin,
|
||||
# Darwin, MinGW, and NonStop.
|
||||
#
|
||||
# (3) This script is generated from the Groovy template
|
||||
# https://github.com/gradle/gradle/blob/master/subprojects/plugins/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt
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||||
# within the Gradle project.
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||||
#
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||||
# You can find Gradle at https://github.com/gradle/gradle/.
|
||||
#
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||||
##############################################################################
|
||||
|
||||
# Attempt to set APP_HOME
|
||||
|
||||
# Resolve links: $0 may be a link
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||||
app_path=$0
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||||
|
||||
# Need this for daisy-chained symlinks.
|
||||
while
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||||
APP_HOME=${app_path%"${app_path##*/}"} # leaves a trailing /; empty if no leading path
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||||
[ -h "$app_path" ]
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||||
do
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||||
ls=$( ls -ld "$app_path" )
|
||||
link=${ls#*' -> '}
|
||||
case $link in #(
|
||||
/*) app_path=$link ;; #(
|
||||
*) app_path=$APP_HOME$link ;;
|
||||
esac
|
||||
done
|
||||
|
||||
APP_HOME=$( cd "${APP_HOME:-./}" && pwd -P ) || exit
|
||||
|
||||
APP_NAME="Gradle"
|
||||
APP_BASE_NAME=${0##*/}
|
||||
|
||||
# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
|
||||
DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
|
||||
|
||||
# Use the maximum available, or set MAX_FD != -1 to use that value.
|
||||
MAX_FD=maximum
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||||
|
||||
warn () {
|
||||
echo "$*"
|
||||
} >&2
|
||||
|
||||
die () {
|
||||
echo
|
||||
echo "$*"
|
||||
echo
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||||
exit 1
|
||||
} >&2
|
||||
|
||||
# OS specific support (must be 'true' or 'false').
|
||||
cygwin=false
|
||||
msys=false
|
||||
darwin=false
|
||||
nonstop=false
|
||||
case "$( uname )" in #(
|
||||
CYGWIN* ) cygwin=true ;; #(
|
||||
Darwin* ) darwin=true ;; #(
|
||||
MSYS* | MINGW* ) msys=true ;; #(
|
||||
NONSTOP* ) nonstop=true ;;
|
||||
esac
|
||||
|
||||
CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
|
||||
|
||||
|
||||
# Determine the Java command to use to start the JVM.
|
||||
if [ -n "$JAVA_HOME" ] ; then
|
||||
if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
|
||||
# IBM's JDK on AIX uses strange locations for the executables
|
||||
JAVACMD=$JAVA_HOME/jre/sh/java
|
||||
else
|
||||
JAVACMD=$JAVA_HOME/bin/java
|
||||
fi
|
||||
if [ ! -x "$JAVACMD" ] ; then
|
||||
die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
|
||||
|
||||
Please set the JAVA_HOME variable in your environment to match the
|
||||
location of your Java installation."
|
||||
fi
|
||||
else
|
||||
JAVACMD=java
|
||||
which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
|
||||
|
||||
Please set the JAVA_HOME variable in your environment to match the
|
||||
location of your Java installation."
|
||||
fi
|
||||
|
||||
# Increase the maximum file descriptors if we can.
|
||||
if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then
|
||||
case $MAX_FD in #(
|
||||
max*)
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||||
MAX_FD=$( ulimit -H -n ) ||
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||||
warn "Could not query maximum file descriptor limit"
|
||||
esac
|
||||
case $MAX_FD in #(
|
||||
'' | soft) :;; #(
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||||
*)
|
||||
ulimit -n "$MAX_FD" ||
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||||
warn "Could not set maximum file descriptor limit to $MAX_FD"
|
||||
esac
|
||||
fi
|
||||
|
||||
# Collect all arguments for the java command, stacking in reverse order:
|
||||
# * args from the command line
|
||||
# * the main class name
|
||||
# * -classpath
|
||||
# * -D...appname settings
|
||||
# * --module-path (only if needed)
|
||||
# * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables.
|
||||
|
||||
# For Cygwin or MSYS, switch paths to Windows format before running java
|
||||
if "$cygwin" || "$msys" ; then
|
||||
APP_HOME=$( cygpath --path --mixed "$APP_HOME" )
|
||||
CLASSPATH=$( cygpath --path --mixed "$CLASSPATH" )
|
||||
|
||||
JAVACMD=$( cygpath --unix "$JAVACMD" )
|
||||
|
||||
# Now convert the arguments - kludge to limit ourselves to /bin/sh
|
||||
for arg do
|
||||
if
|
||||
case $arg in #(
|
||||
-*) false ;; # don't mess with options #(
|
||||
/?*) t=${arg#/} t=/${t%%/*} # looks like a POSIX filepath
|
||||
[ -e "$t" ] ;; #(
|
||||
*) false ;;
|
||||
esac
|
||||
then
|
||||
arg=$( cygpath --path --ignore --mixed "$arg" )
|
||||
fi
|
||||
# Roll the args list around exactly as many times as the number of
|
||||
# args, so each arg winds up back in the position where it started, but
|
||||
# possibly modified.
|
||||
#
|
||||
# NB: a `for` loop captures its iteration list before it begins, so
|
||||
# changing the positional parameters here affects neither the number of
|
||||
# iterations, nor the values presented in `arg`.
|
||||
shift # remove old arg
|
||||
set -- "$@" "$arg" # push replacement arg
|
||||
done
|
||||
fi
|
||||
|
||||
# Collect all arguments for the java command;
|
||||
# * $DEFAULT_JVM_OPTS, $JAVA_OPTS, and $GRADLE_OPTS can contain fragments of
|
||||
# shell script including quotes and variable substitutions, so put them in
|
||||
# double quotes to make sure that they get re-expanded; and
|
||||
# * put everything else in single quotes, so that it's not re-expanded.
|
||||
|
||||
set -- \
|
||||
"-Dorg.gradle.appname=$APP_BASE_NAME" \
|
||||
-classpath "$CLASSPATH" \
|
||||
org.gradle.wrapper.GradleWrapperMain \
|
||||
"$@"
|
||||
|
||||
# Use "xargs" to parse quoted args.
|
||||
#
|
||||
# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
|
||||
#
|
||||
# In Bash we could simply go:
|
||||
#
|
||||
# readarray ARGS < <( xargs -n1 <<<"$var" ) &&
|
||||
# set -- "${ARGS[@]}" "$@"
|
||||
#
|
||||
# but POSIX shell has neither arrays nor command substitution, so instead we
|
||||
# post-process each arg (as a line of input to sed) to backslash-escape any
|
||||
# character that might be a shell metacharacter, then use eval to reverse
|
||||
# that process (while maintaining the separation between arguments), and wrap
|
||||
# the whole thing up as a single "set" statement.
|
||||
#
|
||||
# This will of course break if any of these variables contains a newline or
|
||||
# an unmatched quote.
|
||||
#
|
||||
|
||||
eval "set -- $(
|
||||
printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" |
|
||||
xargs -n1 |
|
||||
sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' |
|
||||
tr '\n' ' '
|
||||
)" '"$@"'
|
||||
|
||||
exec "$JAVACMD" "$@"
|
||||
89
gradlew.bat
vendored
Executable file
89
gradlew.bat
vendored
Executable file
@@ -0,0 +1,89 @@
|
||||
@rem
|
||||
@rem Copyright 2015 the original author or authors.
|
||||
@rem
|
||||
@rem Licensed under the Apache License, Version 2.0 (the "License");
|
||||
@rem you may not use this file except in compliance with the License.
|
||||
@rem You may obtain a copy of the License at
|
||||
@rem
|
||||
@rem https://www.apache.org/licenses/LICENSE-2.0
|
||||
@rem
|
||||
@rem Unless required by applicable law or agreed to in writing, software
|
||||
@rem distributed under the License is distributed on an "AS IS" BASIS,
|
||||
@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
@rem See the License for the specific language governing permissions and
|
||||
@rem limitations under the License.
|
||||
@rem
|
||||
|
||||
@if "%DEBUG%" == "" @echo off
|
||||
@rem ##########################################################################
|
||||
@rem
|
||||
@rem Gradle startup script for Windows
|
||||
@rem
|
||||
@rem ##########################################################################
|
||||
|
||||
@rem Set local scope for the variables with windows NT shell
|
||||
if "%OS%"=="Windows_NT" setlocal
|
||||
|
||||
set DIRNAME=%~dp0
|
||||
if "%DIRNAME%" == "" set DIRNAME=.
|
||||
set APP_BASE_NAME=%~n0
|
||||
set APP_HOME=%DIRNAME%
|
||||
|
||||
@rem Resolve any "." and ".." in APP_HOME to make it shorter.
|
||||
for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
|
||||
|
||||
@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
|
||||
set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
|
||||
|
||||
@rem Find java.exe
|
||||
if defined JAVA_HOME goto findJavaFromJavaHome
|
||||
|
||||
set JAVA_EXE=java.exe
|
||||
%JAVA_EXE% -version >NUL 2>&1
|
||||
if "%ERRORLEVEL%" == "0" goto execute
|
||||
|
||||
echo.
|
||||
echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
|
||||
echo.
|
||||
echo Please set the JAVA_HOME variable in your environment to match the
|
||||
echo location of your Java installation.
|
||||
|
||||
goto fail
|
||||
|
||||
:findJavaFromJavaHome
|
||||
set JAVA_HOME=%JAVA_HOME:"=%
|
||||
set JAVA_EXE=%JAVA_HOME%/bin/java.exe
|
||||
|
||||
if exist "%JAVA_EXE%" goto execute
|
||||
|
||||
echo.
|
||||
echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
|
||||
echo.
|
||||
echo Please set the JAVA_HOME variable in your environment to match the
|
||||
echo location of your Java installation.
|
||||
|
||||
goto fail
|
||||
|
||||
:execute
|
||||
@rem Setup the command line
|
||||
|
||||
set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
|
||||
|
||||
|
||||
@rem Execute Gradle
|
||||
"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %*
|
||||
|
||||
:end
|
||||
@rem End local scope for the variables with windows NT shell
|
||||
if "%ERRORLEVEL%"=="0" goto mainEnd
|
||||
|
||||
:fail
|
||||
rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
|
||||
rem the _cmd.exe /c_ return code!
|
||||
if not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
|
||||
exit /b 1
|
||||
|
||||
:mainEnd
|
||||
if "%OS%"=="Windows_NT" endlocal
|
||||
|
||||
:omega
|
||||
2
settings.gradle
Executable file
2
settings.gradle
Executable file
@@ -0,0 +1,2 @@
|
||||
rootProject.name = 'InfrastructureDemo'
|
||||
|
||||
37
src/main/kotlin/com/pangu/core/scheduler/CombineScheduler.kt
Normal file
37
src/main/kotlin/com/pangu/core/scheduler/CombineScheduler.kt
Normal file
@@ -0,0 +1,37 @@
|
||||
package com.pangu.core.scheduler
|
||||
|
||||
import java.util.*
|
||||
import java.util.concurrent.*
|
||||
|
||||
|
||||
class CombineScheduler(private val combineJob: ICombineJob) {
|
||||
private val triggers = PriorityBlockingQueue<Trigger>()
|
||||
private val triggerJob = ConcurrentHashMap<Trigger, IJob>()
|
||||
private val executor = ThreadPoolExecutor(6, 12, 60, TimeUnit.SECONDS, LinkedBlockingQueue())
|
||||
private val jobPool = mutableSetOf<IJob>()
|
||||
|
||||
fun addJob(trigger: Trigger, job: IJob) {
|
||||
triggers.add(trigger)
|
||||
triggerJob[trigger] = job
|
||||
}
|
||||
|
||||
fun execute() {
|
||||
while (true) {
|
||||
var trigger: Trigger = triggers.peek() ?: return
|
||||
var span = trigger.nextExecuteTime - Date().time
|
||||
while (span <= 0) {
|
||||
trigger = triggers.take()
|
||||
trigger.execute()
|
||||
triggers.add(trigger)
|
||||
jobPool.add(triggerJob[trigger]!!)
|
||||
trigger = triggers.peek()
|
||||
span = trigger.nextExecuteTime - Date().time
|
||||
}
|
||||
if (jobPool.isNotEmpty()) {
|
||||
executor.execute(combineJob.combine(*jobPool.toTypedArray()))
|
||||
jobPool.clear()
|
||||
}
|
||||
Thread.sleep(span)
|
||||
}
|
||||
}
|
||||
}
|
||||
5
src/main/kotlin/com/pangu/core/scheduler/ICombineJob.kt
Normal file
5
src/main/kotlin/com/pangu/core/scheduler/ICombineJob.kt
Normal file
@@ -0,0 +1,5 @@
|
||||
package com.pangu.core.scheduler
|
||||
|
||||
fun interface ICombineJob {
|
||||
fun combine(vararg jobs: IJob): Runnable
|
||||
}
|
||||
4
src/main/kotlin/com/pangu/core/scheduler/IJob.kt
Normal file
4
src/main/kotlin/com/pangu/core/scheduler/IJob.kt
Normal file
@@ -0,0 +1,4 @@
|
||||
package com.pangu.core.scheduler
|
||||
|
||||
fun interface IJob : Runnable {
|
||||
}
|
||||
@@ -0,0 +1,32 @@
|
||||
package com.pangu.core.scheduler
|
||||
|
||||
import java.util.*
|
||||
import java.util.concurrent.*
|
||||
|
||||
|
||||
class SequenceScheduler {
|
||||
private val triggers = PriorityBlockingQueue<Trigger>()
|
||||
private val triggerJob = ConcurrentHashMap<Trigger, IJob>()
|
||||
private val executor = ThreadPoolExecutor(6, 12, 60, TimeUnit.SECONDS, LinkedBlockingQueue())
|
||||
|
||||
fun addJob(trigger: Trigger, job: IJob) {
|
||||
triggers.add(trigger)
|
||||
triggerJob[trigger] = job
|
||||
}
|
||||
|
||||
fun execute() {
|
||||
while (true) {
|
||||
var trigger: Trigger = triggers.peek() ?: return
|
||||
var span = trigger.nextExecuteTime - Date().time
|
||||
while (span <= 0) {
|
||||
trigger = triggers.take()
|
||||
trigger.execute()
|
||||
triggers.add(trigger)
|
||||
executor.execute(triggerJob[trigger]!!)
|
||||
trigger = triggers.peek()
|
||||
span = trigger.nextExecuteTime - Date().time
|
||||
}
|
||||
Thread.sleep(span)
|
||||
}
|
||||
}
|
||||
}
|
||||
32
src/main/kotlin/com/pangu/core/scheduler/Trigger.kt
Normal file
32
src/main/kotlin/com/pangu/core/scheduler/Trigger.kt
Normal file
@@ -0,0 +1,32 @@
|
||||
package com.pangu.core.scheduler
|
||||
|
||||
import java.util.*
|
||||
|
||||
class Trigger(
|
||||
var interval: Long = 0,
|
||||
var startTime: Long = Date().time,
|
||||
var endTime: Long = 0,
|
||||
) : Comparable<Trigger> {
|
||||
private var nextTime = startTime
|
||||
|
||||
init {
|
||||
val now = System.currentTimeMillis()
|
||||
while (now > nextTime) {
|
||||
nextTime += interval
|
||||
}
|
||||
}
|
||||
|
||||
val nextExecuteTime: Long
|
||||
get() = nextTime
|
||||
|
||||
fun execute(): Boolean {
|
||||
nextTime += interval
|
||||
return endTime == 0L || nextTime <= endTime
|
||||
}
|
||||
|
||||
|
||||
override fun compareTo(other: Trigger): Int {
|
||||
// println("this interval $interval, nextExecuteTime $nextExecuteTime; other interval ${other.interval}, nextExecuteTime ${other.nextExecuteTime}")
|
||||
return if (this.nextExecuteTime > other.nextExecuteTime) 1 else -1
|
||||
}
|
||||
}
|
||||
216
src/main/kotlin/com/pangu/core/threads/ThreadGrok.kt
Normal file
216
src/main/kotlin/com/pangu/core/threads/ThreadGrok.kt
Normal file
@@ -0,0 +1,216 @@
|
||||
package com.pangu.core.threads
|
||||
|
||||
import java.util.*
|
||||
import java.util.concurrent.BlockingQueue
|
||||
import java.util.concurrent.LinkedBlockingQueue
|
||||
import java.util.concurrent.RejectedExecutionException
|
||||
import java.util.concurrent.TimeUnit
|
||||
import java.util.concurrent.atomic.AtomicInteger
|
||||
import java.util.concurrent.atomic.AtomicLong
|
||||
|
||||
/**
|
||||
* 自定义线程池实现类，类似于Java中的ThreadPoolExecutor
|
||||
*
|
||||
* @param corePoolSize 核心线程数，即使空闲也会保留的线程数量
|
||||
* @param maxPoolSize 最大线程数，线程池允许创建的最大线程数量
|
||||
* @param keepAliveTime 非核心线程空闲时的存活时间
|
||||
* @param timeUnit 存活时间的时间单位
|
||||
* @param taskQueue 用于存放待执行任务的工作队列
|
||||
*/
|
||||
class ThreadGrok(
|
||||
private val corePoolSize: Int = 1,
|
||||
private val maxPoolSize: Int = 1,
|
||||
private val keepAliveTime: Long = 1000L,
|
||||
private val timeUnit: TimeUnit = TimeUnit.MILLISECONDS,
|
||||
private val taskQueue: BlockingQueue<Runnable> = LinkedBlockingQueue()
|
||||
) {
|
||||
// 当前工作线程数的原子计数器
|
||||
private val workerCount = AtomicInteger(0)
|
||||
|
||||
// 工作线程集合，使用同步包装保证线程安全
|
||||
private val workers = Collections.synchronizedSet(HashSet<Worker>())
|
||||
|
||||
// 总的完成任务数量
|
||||
private var supportCompletedTaskCount = AtomicLong(0)
|
||||
|
||||
// 是否允许核心线程超时退出，volatile保证可见性
|
||||
@Volatile
|
||||
var allowCoreThreadTimeOut = false
|
||||
|
||||
val poolSize: Int get() = workerCount.get()
|
||||
val completedTaskCount: Long get() = (workers.sumOf { it.completedTasks } + supportCompletedTaskCount.get())
|
||||
val taskCount: Int get() = taskQueue.size
|
||||
|
||||
// 初始化时进行参数校验
|
||||
init {
|
||||
if (corePoolSize < 0 || maxPoolSize <= 0 || maxPoolSize < corePoolSize || keepAliveTime < 0) {
|
||||
throw IllegalArgumentException("Invalid configuration for ThreadOcean")
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 执行任务的方法
|
||||
* @param task 要执行的任务
|
||||
*/
|
||||
fun execute(task: Runnable) {
|
||||
val wc = workerCount.get()
|
||||
|
||||
// 1. 如果当前线程数小于核心线程数，直接创建新线程(核心线程)
|
||||
if (wc < corePoolSize) {
|
||||
addWorker(task, true)
|
||||
return
|
||||
}
|
||||
|
||||
// 2. 尝试将任务加入工作队列
|
||||
if (taskQueue.offer(task)) {
|
||||
// 任务加入队列成功，检查是否需要创建一个空任务的线程来处理队列
|
||||
// 修复：不再将同一个任务传给新线程，而是传null作为首任务
|
||||
addWorker(null, false)
|
||||
return
|
||||
}
|
||||
|
||||
// 3. 如果队列已满且线程数小于最大线程数，创建新线程(非核心线程)
|
||||
if (wc < maxPoolSize) {
|
||||
addWorker(task, false)
|
||||
return
|
||||
}
|
||||
|
||||
// 4. 如果队列已满且线程数已达最大值，可以抛出拒绝异常(这里被注释掉了)
|
||||
throw RejectedExecutionException("Task rejected from ThreadGrok")
|
||||
}
|
||||
|
||||
/**
|
||||
* 添加工作线程
|
||||
* @param firstTask 新线程首先执行的任务，可以为null
|
||||
* @param core 是否为核心线程
|
||||
*/
|
||||
private fun addWorker(firstTask: Runnable?, core: Boolean) {
|
||||
val wc = workerCount.get()
|
||||
val limit = if (core) corePoolSize else maxPoolSize
|
||||
|
||||
// 检查是否超过限制
|
||||
if (wc >= limit) {
|
||||
return
|
||||
}
|
||||
|
||||
// 使用CAS增加工作线程计数
|
||||
if (!workerCount.compareAndSet(wc, wc + 1)) {
|
||||
return
|
||||
}
|
||||
|
||||
var worker: Worker? = null
|
||||
var workerStarted = false
|
||||
try {
|
||||
// 创建新工作线程
|
||||
worker = Worker(firstTask)
|
||||
workers.add(worker)
|
||||
worker.start()
|
||||
workerStarted = true
|
||||
} finally {
|
||||
// 如果线程启动失败，进行清理
|
||||
if (!workerStarted) {
|
||||
workers.remove(worker)
|
||||
workerCount.decrementAndGet()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 从队列中获取任务
|
||||
* @return 获取到的任务，如果返回null表示工作线程应该退出
|
||||
*/
|
||||
private fun getTask(): Runnable? {
|
||||
/**
|
||||
* *** 设计原因 ***
|
||||
* 1. 综合决策机制：线程是否应该退出不仅取决于超时，还需要考虑：
|
||||
* - 当前线程数是否超过最大值
|
||||
* - 是否至少保留一个线程处理队列中的任务
|
||||
* - 任务队列是否为空
|
||||
* 2. 保证服务质量：即使某个线程获取任务超时，也不会立即退出，而是在下一次循环中综合评估。这样可以避免在临时任务少的情况下过早释放线程。
|
||||
* 3. 智能化线程管理：通过(wc > 1 || taskQueue.isEmpty())条件，确保当队列有任务时至少保留一个线程可用，防止所有线程都因超时而退出。
|
||||
*
|
||||
* *** 实际应用场景 ***
|
||||
* 当线程池处于低负载状态时：
|
||||
* - 如果允许核心线程超时，那么核心线程在keepAliveTime时间内没有新任务会尝试退出
|
||||
* - 但不会让所有线程都退出（特别是当队列中还有任务时）
|
||||
* - 这种机制确保了线程池既能在低负载时释放资源，又能在任务到来时及时响应
|
||||
* 这种设计比简单地"超时即退出"更复杂，但能更好地平衡资源利用和服务响应能力。
|
||||
*/
|
||||
var timedOut = false // 上次poll是否超时
|
||||
|
||||
while (true) {
|
||||
val wc = workerCount.get()
|
||||
// 判断是否需要进行超时控制
|
||||
val timed = allowCoreThreadTimeOut || wc > corePoolSize
|
||||
|
||||
// 检查线程是否需要回收：
|
||||
// 1. 线程数超过最大值 或 (允许超时且已超时)
|
||||
// 2. 线程数大于1 或 工作队列为空
|
||||
if ((wc > maxPoolSize || (timed && timedOut)) && (wc > 1 || taskQueue.isEmpty())) {
|
||||
// 使用CAS减少工作线程计数
|
||||
if (workerCount.compareAndSet(wc, wc - 1)) {
|
||||
return null // 返回null表示工作线程应该退出
|
||||
}
|
||||
continue
|
||||
}
|
||||
|
||||
try {
|
||||
// 根据是否允许超时选择不同的获取任务方式
|
||||
val r = if (timed) {
|
||||
// 带超时的poll
|
||||
taskQueue.poll(keepAliveTime, timeUnit)
|
||||
} else {
|
||||
// 不带超时的take
|
||||
taskQueue.take()
|
||||
}
|
||||
if (r != null) return r
|
||||
timedOut = true // 获取任务超时
|
||||
} catch (e: InterruptedException) {
|
||||
timedOut = false
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 工作线程内部类，封装了实际执行任务的线程
|
||||
*/
|
||||
private inner class Worker(var firstTask: Runnable?) : Runnable {
|
||||
@Volatile
|
||||
var completedTasks: Long = 0 // 已完成任务计数
|
||||
|
||||
// 实际执行任务的线程
|
||||
val thread: Thread = Thread(this)
|
||||
|
||||
// 启动工作线程
|
||||
fun start() = thread.start()
|
||||
|
||||
override fun run() {
|
||||
var task = firstTask
|
||||
firstTask = null
|
||||
var completedAbruptly = true // 标记是否异常完成
|
||||
|
||||
try {
|
||||
// 循环获取并执行任务
|
||||
while (task != null || (getTask().also { task = it }) != null) {
|
||||
try {
|
||||
task?.run() // 执行任务
|
||||
completedTasks++
|
||||
} catch (_: Exception) {
|
||||
// 捕获任务执行过程中的异常，防止影响线程
|
||||
} finally {
|
||||
task = null // 清理任务引用
|
||||
}
|
||||
}
|
||||
completedAbruptly = false // 正常退出循环
|
||||
} finally {
|
||||
// 清理工作
|
||||
if (completedAbruptly) {
|
||||
workerCount.decrementAndGet()
|
||||
}
|
||||
// 累加完成的任务数量到总的完成任务数量
|
||||
supportCompletedTaskCount.addAndGet(completedTasks)
|
||||
workers.remove(this)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
193
src/main/kotlin/com/pangu/core/threads/ThreadLake.kt
Normal file
193
src/main/kotlin/com/pangu/core/threads/ThreadLake.kt
Normal file
@@ -0,0 +1,193 @@
|
||||
package com.pangu.core.threads
|
||||
|
||||
import java.util.*
|
||||
import java.util.concurrent.BlockingQueue
|
||||
import java.util.concurrent.LinkedBlockingQueue
|
||||
import java.util.concurrent.RejectedExecutionException
|
||||
import java.util.concurrent.TimeUnit
|
||||
import java.util.concurrent.atomic.AtomicInteger
|
||||
import java.util.concurrent.atomic.AtomicLong
|
||||
|
||||
/**
|
||||
* 自定义线程池实现类，支持核心线程、最大线程和任务队列配置
|
||||
*
|
||||
* @param corePoolSize 核心线程数，即使空闲也会保留的线程数量
|
||||
* @param maxPoolSize 最大线程数，线程池允许创建的最大线程数量
|
||||
* @param keepAliveTime 非核心线程空闲时的存活时间（单位由timeUnit指定）
|
||||
* @param timeUnit 存活时间的时间单位
|
||||
* @param taskQueue 用于存放待执行任务的工作队列
|
||||
*/
|
||||
class ThreadLake(
|
||||
private val corePoolSize: Int = 1,
|
||||
private val maxPoolSize: Int = 1,
|
||||
private val keepAliveTime: Long = 1000L,
|
||||
private val timeUnit: TimeUnit = TimeUnit.MILLISECONDS,
|
||||
private val taskQueue: BlockingQueue<Runnable> = LinkedBlockingQueue()
|
||||
) {
|
||||
// 当前工作线程数的原子计数器
|
||||
private val workerCount = AtomicInteger(0)
|
||||
|
||||
// 工作线程集合，使用同步包装保证线程安全
|
||||
private val workers = Collections.synchronizedSet(HashSet<Worker>())
|
||||
|
||||
// 已完成任务总数的计数器（用于已终止线程的任务统计）
|
||||
private var supportCompletedTaskCount = AtomicLong(0)
|
||||
|
||||
/**
|
||||
* 获取已完成任务总数（包含当前活跃线程和已终止线程完成的任务）
|
||||
*/
|
||||
val completedTaskCount: Long get() = (workers.sumOf { it.completedTasks } + supportCompletedTaskCount.get())
|
||||
|
||||
// 是否允许核心线程超时退出，volatile保证可见性
|
||||
@Volatile
|
||||
var allowCoreThreadTimeOut = false
|
||||
|
||||
// 初始化时进行参数校验
|
||||
init {
|
||||
if (corePoolSize < 0 || maxPoolSize <= 0 || maxPoolSize < corePoolSize || keepAliveTime < 0) {
|
||||
throw IllegalArgumentException("Invalid configuration for ThreadOcean")
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 执行任务的方法
|
||||
* @param task 要执行的任务
|
||||
* @throws RejectedExecutionException 当线程池已满且队列已满时抛出
|
||||
*/
|
||||
fun execute(task: Runnable) {
|
||||
val wc = workerCount.get()
|
||||
|
||||
// 1. 如果当前线程数小于核心线程数，直接创建新线程(核心线程)
|
||||
if (wc < corePoolSize) {
|
||||
addWorker(task, true)
|
||||
return
|
||||
}
|
||||
|
||||
// 2. 尝试将任务加入工作队列
|
||||
if (taskQueue.offer(task)) {
|
||||
// 如果队列中有空闲线程，任务会被自动处理
|
||||
return
|
||||
}
|
||||
|
||||
// 3. 如果队列已满且线程数小于最大线程数，创建新线程(非核心线程)
|
||||
if (wc < maxPoolSize) {
|
||||
addWorker(task, false)
|
||||
return
|
||||
}
|
||||
|
||||
// 4. 如果队列已满且线程数已达最大值，抛出拒绝异常
|
||||
// throw RejectedExecutionException("Task rejected from ThreadLake")
|
||||
}
|
||||
|
||||
/**
|
||||
* 添加工作线程
|
||||
* @param task 新线程首先执行的任务
|
||||
* @param isCore 是否为核心线程
|
||||
*/
|
||||
private fun addWorker(task: Runnable, isCore: Boolean) {
|
||||
val wc = workerCount.get()
|
||||
val limit = if (isCore) corePoolSize else maxPoolSize
|
||||
|
||||
// 检查是否超过限制
|
||||
if (wc >= limit) {
|
||||
return
|
||||
}
|
||||
|
||||
// 使用CAS增加工作线程计数
|
||||
if (!workerCount.compareAndSet(wc, wc + 1)) {
|
||||
return
|
||||
}
|
||||
|
||||
// 创建并启动工作线程
|
||||
val worker = Worker(task)
|
||||
workers.add(worker)
|
||||
worker.start()
|
||||
}
|
||||
|
||||
/**
|
||||
* 从队列中获取任务
|
||||
* @return 获取到的任务，如果返回null表示工作线程应该退出
|
||||
*/
|
||||
private fun getTask(): Runnable? {
|
||||
/**
|
||||
* *** 设计原因 ***
|
||||
* 1. 综合决策机制：线程是否应该退出不仅取决于超时，还需要考虑：
|
||||
* - 当前线程数是否超过最大值
|
||||
* - 是否至少保留一个线程处理队列中的任务
|
||||
* - 任务队列是否为空
|
||||
* 2. 保证服务质量：即使某个线程获取任务超时，也不会立即退出，而是在下一次循环中综合评估。这样可以避免在临时任务少的情况下过早释放线程。
|
||||
* 3. 智能化线程管理：通过(wc > 1 || taskQueue.isEmpty())条件，确保当队列有任务时至少保留一个线程可用，防止所有线程都因超时而退出。
|
||||
*
|
||||
* *** 实际应用场景 ***
|
||||
* 当线程池处于低负载状态时：
|
||||
* - 如果允许核心线程超时，那么核心线程在keepAliveTime时间内没有新任务会尝试退出
|
||||
* - 但不会让所有线程都退出（特别是当队列中还有任务时）
|
||||
* - 这种机制确保了线程池既能在低负载时释放资源，又能在任务到来时及时响应
|
||||
* 这种设计比简单地"超时即退出"更复杂，但能更好地平衡资源利用和服务响应能力。
|
||||
*/
|
||||
var timedOut = false // 上次poll是否超时
|
||||
|
||||
while (true) {
|
||||
val wc = workerCount.get()
|
||||
// 判断是否需要进行超时控制
|
||||
val timed = allowCoreThreadTimeOut || wc > corePoolSize
|
||||
|
||||
// 检查线程是否需要回收：
|
||||
// 1. 线程数超过最大值 或 (允许超时且已超时)
|
||||
// 2. 线程数大于1 或 工作队列为空
|
||||
if ((wc > maxPoolSize || (timed && timedOut)) && (wc > corePoolSize || taskQueue.isEmpty())) {
|
||||
return null // 返回null表示工作线程应该退出
|
||||
}
|
||||
|
||||
try {
|
||||
// 根据是否允许超时选择不同的获取任务方式
|
||||
val r = if (timed) {
|
||||
// 带超时的poll
|
||||
taskQueue.poll(keepAliveTime, timeUnit)
|
||||
} else {
|
||||
// 不带超时的take（核心线程默认使用）
|
||||
taskQueue.take()
|
||||
}
|
||||
if (r != null) return r
|
||||
timedOut = true // 获取任务超时
|
||||
} catch (e: InterruptedException) {
|
||||
timedOut = false
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 工作线程内部类，封装了实际执行任务的线程
|
||||
* 继承自Thread类，直接作为线程使用
|
||||
*/
|
||||
private inner class Worker(var firstTask: Runnable?) : Thread() {
|
||||
// 当前Worker完成的任务数量（volatile保证可见性）
|
||||
@Volatile
|
||||
var completedTasks: Long = 0
|
||||
|
||||
override fun run() {
|
||||
var task = firstTask
|
||||
firstTask = null
|
||||
|
||||
try {
|
||||
// 循环获取并执行任务
|
||||
while (task != null || (getTask().also { task = it }) != null) {
|
||||
try {
|
||||
task?.run() // 执行任务
|
||||
completedTasks++
|
||||
} catch (_: Exception) {
|
||||
// 捕获任务执行过程中的异常，防止线程意外退出
|
||||
} finally {
|
||||
task = null // 清理任务引用
|
||||
}
|
||||
}
|
||||
} finally {
|
||||
// 线程退出前的清理工作
|
||||
workerCount.decrementAndGet()
|
||||
workers.remove(this)
|
||||
// 将当前Worker完成的任务数累加到总计数器
|
||||
supportCompletedTaskCount.addAndGet(completedTasks)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
361
src/main/kotlin/com/pangu/core/threads/ThreadOcean.kt
Normal file
361
src/main/kotlin/com/pangu/core/threads/ThreadOcean.kt
Normal file
@@ -0,0 +1,361 @@
|
||||
package com.pangu.core.threads
|
||||
|
||||
import java.util.*
|
||||
import java.util.concurrent.*
|
||||
import java.util.concurrent.atomic.AtomicInteger
|
||||
import java.util.concurrent.locks.ReentrantLock
|
||||
import java.util.logging.Level
|
||||
import java.util.logging.Logger
|
||||
|
||||
class ThreadOcean(
|
||||
private val corePoolSize: Int = 1,
|
||||
private val maxPoolSize: Int = 1,
|
||||
private val keepAliveTime: Long = 1000L,
|
||||
private val timeUnit: TimeUnit = TimeUnit.MILLISECONDS,
|
||||
private val taskQueue: BlockingQueue<Runnable> = LinkedBlockingQueue()
|
||||
) {
|
||||
|
||||
private val COUNT_BITS = 29
|
||||
private val CAPACITY = (1 shl COUNT_BITS) - 1
|
||||
|
||||
// 运行状态存储在高3位
|
||||
private val RUNNING = -1 shl COUNT_BITS
|
||||
private val SHUTDOWN = 0 shl COUNT_BITS
|
||||
private val STOP = 1 shl COUNT_BITS
|
||||
private val TIDYING = 2 shl COUNT_BITS
|
||||
private val TERMINATED = 3 shl COUNT_BITS
|
||||
|
||||
// 使用AtomicInteger同时保存线程池状态和工作线程数
|
||||
private val ctl = AtomicInteger(ctlOf(RUNNING, 0))
|
||||
private val workers = Collections.synchronizedSet(HashSet<Worker>())
|
||||
private val mainLock = ReentrantLock()
|
||||
private val termination = mainLock.newCondition()
|
||||
|
||||
@Volatile
|
||||
private var isShutdown = false
|
||||
|
||||
@Volatile
|
||||
var allowCoreThreadTimeOut = false
|
||||
|
||||
init {
|
||||
require(corePoolSize >= 0 && maxPoolSize > 0 && maxPoolSize >= corePoolSize && keepAliveTime >= 0) {
|
||||
"Invalid configuration for ThreadOcean"
|
||||
}
|
||||
}
|
||||
|
||||
val poolSize: Int get() = workerCountOf(ctl.get())
|
||||
val activeCount: Int get() = workers.count { it.isLocked }
|
||||
val completedTaskCount: Long get() = workers.sumOf { it.completedTasks }
|
||||
val queueSize: Int get() = taskQueue.size
|
||||
|
||||
@Throws(RejectedExecutionException::class)
|
||||
fun execute(task: Runnable) {
|
||||
if (isShutdown) {
|
||||
throw RejectedExecutionException("ThreadOcean has been shut down")
|
||||
}
|
||||
|
||||
val c = ctl.get()
|
||||
when {
|
||||
// 工作线程数 < corePoolSize，创建新核心线程
|
||||
workerCountOf(c) < corePoolSize -> {
|
||||
if (addWorker(task, true)) return
|
||||
// 如果添加失败，重新检查状态
|
||||
}
|
||||
// 任务可以入队
|
||||
taskQueue.offer(task) -> {
|
||||
val recheck = ctl.get()
|
||||
// 双重检查，防止在入队后线程池关闭或线程死亡
|
||||
if (isShutdown && remove(task)) {
|
||||
throw RejectedExecutionException("ThreadOcean has been shut down")
|
||||
}
|
||||
if (workerCountOf(recheck) == 0) {
|
||||
addWorker(null, false)
|
||||
}
|
||||
return
|
||||
}
|
||||
// 队列已满，尝试创建非核心线程
|
||||
workerCountOf(c) < maxPoolSize -> {
|
||||
if (addWorker(task, false)) return
|
||||
}
|
||||
}
|
||||
throw RejectedExecutionException("Task rejected from ThreadOcean")
|
||||
}
|
||||
|
||||
private fun addWorker(firstTask: Runnable?, core: Boolean): Boolean {
|
||||
retry@ while (true) {
|
||||
val c = ctl.get()
|
||||
if (runStateAtLeast(c, SHUTDOWN)) {
|
||||
return false
|
||||
}
|
||||
|
||||
val wc = workerCountOf(c)
|
||||
val limit = if (core) corePoolSize else maxPoolSize
|
||||
if (wc >= limit) {
|
||||
return false
|
||||
}
|
||||
|
||||
if (compareAndIncrementWorkerCount(c)) {
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
var worker: Worker? = null
|
||||
var workerStarted = false
|
||||
try {
|
||||
worker = Worker(firstTask)
|
||||
workers.add(worker)
|
||||
worker.start()
|
||||
workerStarted = true
|
||||
} finally {
|
||||
if (!workerStarted) {
|
||||
addWorkerFailed(worker)
|
||||
}
|
||||
}
|
||||
return workerStarted
|
||||
}
|
||||
|
||||
private fun addWorkerFailed(w: Worker?) {
|
||||
mainLock.lock()
|
||||
try {
|
||||
w?.let { workers.remove(it) }
|
||||
decrementWorkerCount()
|
||||
tryTerminate()
|
||||
} finally {
|
||||
mainLock.unlock()
|
||||
}
|
||||
}
|
||||
|
||||
private fun getTask(): Runnable? {
|
||||
var timedOut = false
|
||||
|
||||
retry@ while (true) {
|
||||
val c = ctl.get()
|
||||
|
||||
// 检查线程池状态
|
||||
if (runStateAtLeast(c, SHUTDOWN) && (runStateAtLeast(c, STOP) || taskQueue.isEmpty())) {
|
||||
decrementWorkerCount()
|
||||
return null
|
||||
}
|
||||
|
||||
val wc = workerCountOf(c)
|
||||
|
||||
// 是否允许超时（非核心线程或允许核心线程超时）
|
||||
val timed = allowCoreThreadTimeOut || wc > corePoolSize
|
||||
|
||||
if ((wc > maxPoolSize || (timed && timedOut)) && (wc > 1 || taskQueue.isEmpty())) {
|
||||
if (compareAndDecrementWorkerCount(c)) {
|
||||
return null
|
||||
}
|
||||
continue@retry
|
||||
}
|
||||
|
||||
try {
|
||||
val r = if (timed) {
|
||||
taskQueue.poll(keepAliveTime, timeUnit)
|
||||
} else {
|
||||
taskQueue.take()
|
||||
}
|
||||
if (r != null) return r
|
||||
timedOut = true
|
||||
} catch (e: InterruptedException) {
|
||||
timedOut = false
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fun shutdown() {
|
||||
mainLock.lock()
|
||||
try {
|
||||
advanceRunState(SHUTDOWN)
|
||||
interruptIdleWorkers()
|
||||
} finally {
|
||||
mainLock.unlock()
|
||||
}
|
||||
tryTerminate()
|
||||
}
|
||||
|
||||
fun shutdownNow(): List<Runnable> {
|
||||
val tasks: List<Runnable>
|
||||
mainLock.lock()
|
||||
try {
|
||||
advanceRunState(STOP)
|
||||
interruptWorkers()
|
||||
tasks = drainQueue()
|
||||
} finally {
|
||||
mainLock.unlock()
|
||||
}
|
||||
tryTerminate()
|
||||
return tasks
|
||||
}
|
||||
|
||||
private fun interruptIdleWorkers() {
|
||||
mainLock.lock()
|
||||
try {
|
||||
workers.forEach { worker ->
|
||||
if (!worker.isLocked) {
|
||||
worker.interrupt()
|
||||
}
|
||||
}
|
||||
} finally {
|
||||
mainLock.unlock()
|
||||
}
|
||||
}
|
||||
|
||||
private fun interruptWorkers() {
|
||||
mainLock.lock()
|
||||
try {
|
||||
workers.forEach { it.interrupt() }
|
||||
} finally {
|
||||
mainLock.unlock()
|
||||
}
|
||||
}
|
||||
|
||||
private fun drainQueue(): List<Runnable> {
|
||||
val taskList = ArrayList<Runnable>()
|
||||
taskQueue.drainTo(taskList)
|
||||
if (!taskQueue.isEmpty()) {
|
||||
taskQueue.forEach { taskList.add(it) }
|
||||
taskQueue.clear()
|
||||
}
|
||||
return taskList
|
||||
}
|
||||
|
||||
private fun tryTerminate() {
|
||||
while (true) {
|
||||
val c = ctl.get()
|
||||
if (isRunning(c) ||
|
||||
runStateAtLeast(c, TIDYING) ||
|
||||
(runStateOf(c) == SHUTDOWN && !taskQueue.isEmpty())
|
||||
) {
|
||||
return
|
||||
}
|
||||
|
||||
if (workerCountOf(c) != 0) {
|
||||
interruptIdleWorkers()
|
||||
return
|
||||
}
|
||||
|
||||
mainLock.lock()
|
||||
try {
|
||||
if (ctl.compareAndSet(c, ctlOf(TIDYING, 0))) {
|
||||
try {
|
||||
// 终止钩子，可以在这里添加清理逻辑
|
||||
} finally {
|
||||
ctl.set(ctlOf(TERMINATED, 0))
|
||||
termination.signalAll()
|
||||
}
|
||||
return
|
||||
}
|
||||
} finally {
|
||||
mainLock.unlock()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fun awaitTermination(timeout: Long, unit: TimeUnit): Boolean {
|
||||
var nanos = unit.toNanos(timeout)
|
||||
mainLock.lock()
|
||||
try {
|
||||
while (true) {
|
||||
if (runStateAtLeast(ctl.get(), TERMINATED)) {
|
||||
return true
|
||||
}
|
||||
if (nanos <= 0) {
|
||||
return false
|
||||
}
|
||||
nanos = termination.awaitNanos(nanos)
|
||||
}
|
||||
} finally {
|
||||
mainLock.unlock()
|
||||
}
|
||||
}
|
||||
|
||||
private inner class Worker(var firstTask: Runnable?) : Runnable {
|
||||
@Volatile
|
||||
var completedTasks: Long = 0
|
||||
val thread: Thread = Thread(this)
|
||||
|
||||
@Volatile
|
||||
var isLocked = false
|
||||
|
||||
fun start() = thread.start()
|
||||
fun interrupt() = thread.interrupt()
|
||||
fun join(millis: Long) = thread.join(millis)
|
||||
|
||||
override fun run() {
|
||||
runWorker(this)
|
||||
}
|
||||
}
|
||||
|
||||
private fun runWorker(w: Worker) {
|
||||
var task = w.firstTask
|
||||
w.firstTask = null
|
||||
var completedAbruptly = true
|
||||
try {
|
||||
while (task != null || (getTask().also { task = it }) != null) {
|
||||
w.isLocked = true
|
||||
try {
|
||||
task?.run()
|
||||
w.completedTasks++
|
||||
} catch (e: Exception) {
|
||||
Logger.getLogger(ThreadOcean::class.java.name).log(Level.SEVERE, "Task execution failed", e)
|
||||
} finally {
|
||||
task = null
|
||||
w.isLocked = false
|
||||
}
|
||||
}
|
||||
completedAbruptly = false
|
||||
} finally {
|
||||
processWorkerExit(w, completedAbruptly)
|
||||
}
|
||||
}
|
||||
|
||||
private fun processWorkerExit(w: Worker, completedAbruptly: Boolean) {
|
||||
if (completedAbruptly) {
|
||||
decrementWorkerCount()
|
||||
}
|
||||
|
||||
mainLock.lock()
|
||||
try {
|
||||
workers.remove(w)
|
||||
tryTerminate()
|
||||
} finally {
|
||||
mainLock.unlock()
|
||||
}
|
||||
}
|
||||
|
||||
private fun remove(task: Runnable?): Boolean {
|
||||
return taskQueue.remove(task)
|
||||
}
|
||||
|
||||
|
||||
private fun runStateOf(c: Int) = c and (CAPACITY.inv())
|
||||
private fun workerCountOf(c: Int) = c and CAPACITY
|
||||
private fun ctlOf(rs: Int, wc: Int) = rs or wc
|
||||
|
||||
private fun runStateAtLeast(c: Int, s: Int) = c >= s
|
||||
private fun isRunning(c: Int) = c < SHUTDOWN
|
||||
|
||||
private fun advanceRunState(targetState: Int) {
|
||||
while (true) {
|
||||
val c = ctl.get()
|
||||
if (runStateAtLeast(c, targetState) ||
|
||||
ctl.compareAndSet(c, ctlOf(targetState, workerCountOf(c)))
|
||||
) {
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private fun compareAndIncrementWorkerCount(expect: Int): Boolean {
|
||||
return ctl.compareAndSet(expect, expect + 1)
|
||||
}
|
||||
|
||||
private fun compareAndDecrementWorkerCount(expect: Int): Boolean {
|
||||
return ctl.compareAndSet(expect, expect - 1)
|
||||
}
|
||||
|
||||
private fun decrementWorkerCount() {
|
||||
ctl.addAndGet(-1)
|
||||
}
|
||||
}
|
||||
59
src/test/kotlin/com/pangu/test/SchedulerTest.kt
Normal file
59
src/test/kotlin/com/pangu/test/SchedulerTest.kt
Normal file
@@ -0,0 +1,59 @@
|
||||
package com.pangu.test
|
||||
|
||||
import com.pangu.core.scheduler.*
|
||||
import junit.framework.TestCase
|
||||
import java.text.SimpleDateFormat
|
||||
import java.util.*
|
||||
|
||||
|
||||
class SchedulerTest : TestCase() {
|
||||
fun testSequenceScheduler() {
|
||||
val formatter = SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS")
|
||||
val onetimeScheduler = SequenceScheduler()
|
||||
|
||||
val calendar = Calendar.getInstance()
|
||||
// 设置自定义时间
|
||||
calendar[2025, Calendar.MARCH, 28, 0, 0] = 0
|
||||
calendar.set(Calendar.MILLISECOND, 0)
|
||||
val startTime = calendar.timeInMillis
|
||||
onetimeScheduler.addJob(Trigger(15000, startTime)) {
|
||||
println("15s - ${formatter.format(Date())} hello")
|
||||
}
|
||||
onetimeScheduler.addJob(Trigger(20000, startTime)) {
|
||||
println("20s - ${formatter.format(Date())} hello")
|
||||
}
|
||||
onetimeScheduler.addJob(Trigger(25000, startTime)) {
|
||||
println("25s - ${formatter.format(Date())} hello")
|
||||
}
|
||||
onetimeScheduler.execute()
|
||||
}
|
||||
|
||||
fun testCombineScheduler() {
|
||||
val formatter = SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS")
|
||||
val onetimeScheduler = CombineScheduler { jobs ->
|
||||
Runnable {
|
||||
println("---> Combine executed start <---")
|
||||
jobs.forEach {
|
||||
it.run()
|
||||
}
|
||||
println("---> Combine executed end <---\n")
|
||||
}
|
||||
}
|
||||
|
||||
val calendar = Calendar.getInstance()
|
||||
// 设置自定义时间
|
||||
calendar[2025, Calendar.MARCH, 28, 0, 0] = 0
|
||||
calendar.set(Calendar.MILLISECOND, 0)
|
||||
val startTime = calendar.timeInMillis
|
||||
onetimeScheduler.addJob(Trigger(5000, startTime)) {
|
||||
println("05s - ${formatter.format(Date())} hello")
|
||||
}
|
||||
onetimeScheduler.addJob(Trigger(10000, startTime)) {
|
||||
println("10s - ${formatter.format(Date())} hello")
|
||||
}
|
||||
onetimeScheduler.addJob(Trigger(15000, startTime)) {
|
||||
println("15s - ${formatter.format(Date())} hello")
|
||||
}
|
||||
onetimeScheduler.execute()
|
||||
}
|
||||
}
|
||||
93
src/test/kotlin/com/pangu/test/ThreadPoolTest.kt
Normal file
93
src/test/kotlin/com/pangu/test/ThreadPoolTest.kt
Normal file
@@ -0,0 +1,93 @@
|
||||
package com.pangu.test
|
||||
|
||||
import com.pangu.core.threads.ThreadGrok
|
||||
import com.pangu.core.threads.ThreadLake
|
||||
import com.pangu.core.threads.ThreadOcean
|
||||
import junit.framework.TestCase
|
||||
import java.util.concurrent.LinkedBlockingQueue
|
||||
import java.util.concurrent.TimeUnit
|
||||
import java.util.concurrent.atomic.AtomicLong
|
||||
import java.util.concurrent.locks.LockSupport
|
||||
|
||||
|
||||
class ThreadPoolTest : TestCase() {
|
||||
fun testThreadOcean() {
|
||||
val i = AtomicLong(1000000L)
|
||||
val threadOcean = ThreadOcean(
|
||||
2, 5, 1000L, TimeUnit.MILLISECONDS,
|
||||
LinkedBlockingQueue(100)
|
||||
)
|
||||
|
||||
val start = System.currentTimeMillis()
|
||||
repeat(1000) { _ ->
|
||||
threadOcean.execute {
|
||||
repeat(1000) { _ ->
|
||||
i.decrementAndGet()
|
||||
}
|
||||
}
|
||||
Thread.sleep(10)
|
||||
}
|
||||
while (true) {
|
||||
if (threadOcean.completedTaskCount == 1000L) {
|
||||
break
|
||||
}
|
||||
Thread.sleep(10)
|
||||
}
|
||||
println("结果: $i, 执行时间: ${System.currentTimeMillis() - start}ms")
|
||||
threadOcean.shutdown()
|
||||
println("")
|
||||
}
|
||||
|
||||
fun testThreadLake() {
|
||||
val i = AtomicLong(1000000L)
|
||||
val threadLake = ThreadLake(
|
||||
2, 5, 1000L, TimeUnit.MILLISECONDS,
|
||||
LinkedBlockingQueue(40)
|
||||
)
|
||||
|
||||
val start = System.currentTimeMillis()
|
||||
|
||||
repeat(1000) { _ ->
|
||||
threadLake.execute {
|
||||
repeat(1000) { _ ->
|
||||
i.decrementAndGet()
|
||||
LockSupport.parkNanos(1)
|
||||
}
|
||||
}
|
||||
Thread.sleep(10)
|
||||
}
|
||||
while (true) {
|
||||
if (threadLake.completedTaskCount == 1000L) {
|
||||
break
|
||||
}
|
||||
Thread.sleep(10)
|
||||
}
|
||||
println("结果: $i, 执行时间: ${System.currentTimeMillis() - start}ms")
|
||||
}
|
||||
|
||||
fun testThreadGrok() {
|
||||
val i = AtomicLong(1000000L)
|
||||
val threadGrok = ThreadGrok(
|
||||
2, 5, 1000L, TimeUnit.MILLISECONDS,
|
||||
LinkedBlockingQueue(100)
|
||||
)
|
||||
|
||||
val start = System.currentTimeMillis()
|
||||
repeat(1000) { _ ->
|
||||
threadGrok.execute {
|
||||
repeat(1000) { _ ->
|
||||
i.decrementAndGet()
|
||||
LockSupport.parkNanos(1)
|
||||
}
|
||||
}
|
||||
Thread.sleep(10)
|
||||
}
|
||||
while (true) {
|
||||
if (threadGrok.completedTaskCount == 1000L) {
|
||||
break
|
||||
}
|
||||
Thread.sleep(10)
|
||||
}
|
||||
println("结果: $i, 执行时间: ${System.currentTimeMillis() - start}ms")
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user