深入理解Flink ---- Metrics的内部结构
从Metrics的使用说起
Flink的Metrics种类有四种Counters
, Gauges
, Histograms和
Meters
.
如何使用Metrics呢? 以Counter为例,
public class MyMapper extends RichMapFunction<String, String> {
private transient Counter counter; @Override
public void open(Configuration config) {
this.counter = getRuntimeContext()
.getMetricGroup()
.counter("myCounter");
} @Override
public String map(String value) throws Exception {
this.counter.inc();
return value;
}
}
行7 getMetricGroup()获取MetricGroup
行8 从MetricGroup中获取Metric实例
那么,我们来探访一下MetricGroup
Metric容器--MetricGroup
MetricGroup是Metric对象和metric subgroups的容器.
调用以下4个方法可以获得Metric对象并调用addMetric()注册这个Metric.
(AbstractMetricGroup.java)
public <C extends Counter> C counter(String name, C counter)
{
addMetric(name, counter);
return counter;
} public <T, G extends Gauge<T>> G gauge(String name, G gauge) {
addMetric(name, gauge);
return gauge;
} public <H extends Histogram> H histogram(String name, H histogram) {
addMetric(name, histogram);
return histogram;
} public <M extends Meter> M meter(String name, M meter) {
addMetric(name, meter);
return meter;
}
注,MetricGroup接口的另一个实现UnregisteredMetricsGroup仅仅返回Metric实例而不对Metric进行注册
注2,MetricGroup接口的第三个实现ProxyMetricGroup有一个parent MetricGroup,ProxyMetricGroup所有的调用都转发到parentMetricGroup上
(AbstractMetricGroup.java)重要的域
/** The registry that this metrics group belongs to. */
protected final MetricRegistry registry; /** All metrics that are directly contained in this group. */
private final Map<String, Metric> metrics = new HashMap<>(); /** All metric subgroups of this group. */
private final Map<String, AbstractMetricGroup> groups = new HashMap<>();/** Flag indicating whether this group has been closed. */
private volatile boolean closed;
(AbstractMetricGroup.java)
protected void addMetric(String name, Metric metric) {
if (metric == null) {
LOG.warn("Ignoring attempted registration of a metric due to being null for name {}.", name);
return;
}
// add the metric only if the group is still open
synchronized (this) {
if (!closed) {
// immediately put without a 'contains' check to optimize the common case (no collision)
// collisions are resolved later
Metric prior = metrics.put(name, metric); // check for collisions with other metric names
if (prior == null) {
// no other metric with this name yet if (groups.containsKey(name)) {
// we warn here, rather than failing, because metrics are tools that should not fail the
// program when used incorrectly
LOG.warn("Name collision: Adding a metric with the same name as a metric subgroup: '" +
name + "'. Metric might not get properly reported. " + Arrays.toString(scopeComponents));
} registry.register(metric, name, this);
}
else {
// we had a collision. put back the original value
metrics.put(name, prior); // we warn here, rather than failing, because metrics are tools that should not fail the
// program when used incorrectly
LOG.warn("Name collision: Group already contains a Metric with the name '" +
name + "'. Metric will not be reported." + Arrays.toString(scopeComponents));
}
}
}
}
具体再来看一下addMetric()的代码
行7 获得互斥锁
行8 检测当前group是否close
行11~34 把要注册的Metric对象添加到metrics map中
这里一个小trick是,默认没有key的冲突,直接把这个metric对象添加到map中.再回头检测是否有值被替换出来.这样的做法可以优化性能(若没有key冲突,减少了一次map寻址)
行24 在MetricRegister中注册Metric,这个在下一节详谈
调用addGroup()可以添加subgroup
(AbstractMetricGroup.java)
private AbstractMetricGroup<?> addGroup(String name, ChildType childType) {
synchronized (this) {
if (!closed) {
// adding a group with the same name as a metric creates problems in many reporters/dashboards
// we warn here, rather than failing, because metrics are tools that should not fail the
// program when used incorrectly
if (metrics.containsKey(name)) {
LOG.warn("Name collision: Adding a metric subgroup with the same name as an existing metric: '" +
name + "'. Metric might not get properly reported. " + Arrays.toString(scopeComponents));
} AbstractMetricGroup newGroup = createChildGroup(name, childType);
AbstractMetricGroup prior = groups.put(name, newGroup);
if (prior == null) {
// no prior group with that name
return newGroup;
} else {
// had a prior group with that name, add the prior group back
groups.put(name, prior);
return prior;
}
}
else {
// return a non-registered group that is immediately closed already
GenericMetricGroup closedGroup = new GenericMetricGroup(registry, this, name);
closedGroup.close();
return closedGroup;
}
}
} protected GenericMetricGroup createChildGroup(String name, ChildType childType) {
switch (childType) {
case KEY:
return new GenericKeyMetricGroup(registry, this, name);
default:
return new GenericMetricGroup(registry, this, name);
}
} /**
* Enum for indicating which child group should be created.
* `KEY` is used to create {@link GenericKeyMetricGroup}.
* `VALUE` is used to create {@link GenericValueMetricGroup}.
* `GENERIC` is used to create {@link GenericMetricGroup}.
*/
protected enum ChildType {
KEY,
VALUE,
GENERIC
}
行2 获取互斥锁
行12~21 新建MetricGroup对象
注意,添加的subgroup的name与Metric对象的name相同会造成问题.
行25,35,37 同一个tree里的MetricGroup对象使用同一个MetricRegister
行26 close MetricGroup
public void close() {
synchronized (this) {
if (!closed) {
closed = true; // close all subgroups
for (AbstractMetricGroup group : groups.values()) {
group.close();
}
groups.clear(); // un-register all directly contained metrics
for (Map.Entry<String, Metric> metric : metrics.entrySet()) {
registry.unregister(metric.getValue(), metric.getKey(), this);
}
metrics.clear();
}
}
}
行2 获取互斥锁
递归地close所有subgroups, 注销所有metrics
MetricGroup中的addMetric(),addGroup(),close()以及上面未提到的getAllVariables()方法需要获取互斥锁
原因: 防止关闭group的同时添加metrics和subgroups造成的资源泄露.
MetricGroup另一个很重要的方法是public String getMetricIdentifier(String metricName, CharacterFilter filter, int reporterIndex).
作用是获取某个Metric的唯一名作为标志(identifier).
identifier分为3部分:System scope, User scope, Metric name
A.B.C 其中,A为System scope,B为User scope,C为Metric name, '.'是分隔符
System Scope可在conf/flink-conf.yaml中定义.
User Scope就是groups tree, 可调用addGroup(String)来定义 (可定义多层group)
MetricGroup与MetricReporter之间的桥梁 -- MetricRegister
MetricRegistry追踪所有已注册的Metric.它作为MetricGroup和MetricReporter之间的桥梁.
在MetricGroup的addMetric()方法中调用了MetricRegister的register()方法:
registry.register(metric, name, this);
在MetricGroup的close()方法中调用了MetricRegister的unregister()方法:
registry.unregister(metric.getValue(), metric.getKey(), this);
// ------------------------------------------------------------------------
// Metrics (de)registration
// ------------------------------------------------------------------------ @Override
public void register(Metric metric, String metricName, AbstractMetricGroup group) {
synchronized (lock) {
if (isShutdown()) {
LOG.warn("Cannot register metric, because the MetricRegistry has already been shut down.");
} else {
if (reporters != null) {
for (int i = 0; i < reporters.size(); i++) {
MetricReporter reporter = reporters.get(i);
try {
if (reporter != null) {
FrontMetricGroup front = new FrontMetricGroup<AbstractMetricGroup<?>>(i, group);
reporter.notifyOfAddedMetric(metric, metricName, front);
}
} catch (Exception e) {
LOG.warn("Error while registering metric.", e);
}
}
}
try {
if (queryService != null) {
MetricQueryService.notifyOfAddedMetric(queryService, metric, metricName, group);
}
} catch (Exception e) {
LOG.warn("Error while registering metric.", e);
}
try {
if (metric instanceof View) {
if (viewUpdater == null) {
viewUpdater = new ViewUpdater(executor);
}
viewUpdater.notifyOfAddedView((View) metric);
}
} catch (Exception e) {
LOG.warn("Error while registering metric.", e);
}
}
}
} @Override
public void unregister(Metric metric, String metricName, AbstractMetricGroup group) {
synchronized (lock) {
if (isShutdown()) {
LOG.warn("Cannot unregister metric, because the MetricRegistry has already been shut down.");
} else {
if (reporters != null) {
for (int i = 0; i < reporters.size(); i++) {
try {
MetricReporter reporter = reporters.get(i);
if (reporter != null) {
FrontMetricGroup front = new FrontMetricGroup<AbstractMetricGroup<?>>(i, group);
reporter.notifyOfRemovedMetric(metric, metricName, front);
}
} catch (Exception e) {
LOG.warn("Error while registering metric.", e);
}
}
}
try {
if (queryService != null) {
MetricQueryService.notifyOfRemovedMetric(queryService, metric);
}
} catch (Exception e) {
LOG.warn("Error while registering metric.", e);
}
try {
if (metric instanceof View) {
if (viewUpdater != null) {
viewUpdater.notifyOfRemovedView((View) metric);
}
}
} catch (Exception e) {
LOG.warn("Error while registering metric.", e);
}
}
}
}
register()方法和unregister()方法基本相似
行7 获取同步锁. 锁对象不再是this,而是new Object().这样做,方便拓展第二个锁.
行11~23 向所有下属的MetricReporter添加该Metric
行24~30 向MetricQueryService添加该Metric
MetricQueryService是个actor,它会将Metric序列化,然后写入到output stream
行31~40 如果Metric实现了View接口,那么在viewUpdater中注册这个Metric
Metric类实现View接口后,可以按设定时间间隔来更新这个Metric(由viewUpdater来执行update)
MetricReporter
MetricReporter用于把Metric导出到外部backend.
外部backend的参数可在conf/flink-conf.yaml中设定.
可同时设定多个外部backend.
MetricReporter接口
public interface MetricReporter { // ------------------------------------------------------------------------
// life cycle
// ------------------------------------------------------------------------ void open(MetricConfig config); // void close(); // ------------------------------------------------------------------------
// adding / removing metrics
// ------------------------------------------------------------------------ void notifyOfAddedMetric(Metric metric, String metricName, MetricGroup group); void notifyOfRemovedMetric(Metric metric, String metricName, MetricGroup group);
}
行8 配置这个Reporter.
由于reporter的构造器是无参的,这个方法用于初始化reporter的域.
这个方法总是在对象构造后调用
行10 关闭这个Reporter.
应该在这个方法中关闭 channels,streams以及释放资源.
行16,19 增删metrics
常规的reporter类还需要实现Scheduled接口用于报告当前的measurements
public interface Scheduled { void report();
}
行3 由metric registry定期地调用report()方法,来报告当前的measurements
深入理解Flink ---- Metrics的内部结构的更多相关文章
- Flink - metrics
Metrics是以MetricsGroup来组织的 MetricGroup MetricGroup 这就是个metric容器,里面可以放subGroup,或者各种metric 所以主要的接口就是注 ...
- Flink Metrics 源码解析
Flink Metrics 有如下模块: Flink Metrics 源码解析 -- Flink-metrics-core Flink Metrics 源码解析 -- Flink-metrics-da ...
- 深入理解Flink核心技术及原理
前言 Apache Flink(下简称Flink)项目是大数据处理领域最近冉冉升起的一颗新星,其不同于其他大数据项目的诸多特性吸引了越来越多人的关注.本文将深入分析Flink的一些关键技术与特性,希望 ...
- 理解Storm Metrics
在hadoop中,存在对应的counter计数器用于记录hadoop map/reduce job任务执行过程中自定义的一些计数器,其中hadoop任务中已经内置了一些计数器,例如CPU时间,GC时间 ...
- Flink – metrics V1.2
WebRuntimeMonitor .GET("/jobs/:jobid/vertices/:vertexid/metrics", handler(new JobVertexM ...
- 深入理解Flink核心技术(转载)
作者:李呈祥 Flink项目是大数据处理领域最近冉冉升起的一颗新星,其不同于其他大数据项目的诸多特性吸引了越来越多的人关注Flink项目.本文将深入分析Flink一些关键的技术与特性,希望能够帮助读者 ...
- 深入理解Flink ---- 系统内部消息传递的exactly once语义
At Most once,At Least once和Exactly once 在分布式系统中,组成系统的各个计算机是独立的.这些计算机有可能fail. 一个sender发送一条message到rec ...
- 深入理解Flink ---- End-to-End Exactly-Once语义
上一篇文章所述的Exactly-Once语义是针对Flink系统内部而言的. 那么Flink和外部系统(如Kafka)之间的消息传递如何做到exactly once呢? 问题所在: 如上图,当sink ...
- 理解Flink中的Task和SUBTASK
1.概念 Task(任务):Task是一个阶段多个功能相同的subTask 的集合,类似于Spark中的TaskSet. subTask(子任务):subTask是Flink中任务最小执行单元,是一个 ...
随机推荐
- idou老师教你学Istio12 : Istio 实现流量镜像
微服务为我们带来了快速开发部署的优秀特性,而如何降低开发和变更的风险成为了一个问题.Istio的流量镜像,也称为影子流量,是将生产流量镜像拷贝到测试集群或者新的版本中,在引导实时流量之前进行测试,可以 ...
- Mha-Atlas-MySQL高可用方案实践
一,mysql-mha环境准备 1.1 实验环境: 1.1 实验环境: 主机名 IP地址(NAT) 描述 mysql-master eth0:10.1.1.154 系统:CentOS6.5(6.x都可 ...
- 为什么要用BigDecimal
一般货币计算的时候都要用到BigDecimal类,为什么一般不适用float或者double呢? 先看一下浮点数的二进制表示: 小数 0.125 0.125 * 2 = 0.25 0 0.25 * 2 ...
- [USACO07MAR]面对正确的方式Face The Right Way
题目概括 题目描述 Farmer John has arranged his N (1 ≤ N ≤ 5,000) cows in a row and many of them are facing f ...
- python 学习笔记_1 pip安装、卸载、更新包相关操作及数据类型学习
'''prepare_1 pip安装.卸载.更新组件type 各数据类型''' py -3 -m pip py -3 -m pip listpy -3 -m pip show nosepy -3 -m ...
- Java锁--LockSupport
转载请注明出处:http://www.cnblogs.com/skywang12345/p/3505784.html LockSupport介绍 LockSupport是用来创建锁和其他同步类的基本线 ...
- Java集合--Map总结
转载请注明出处:http://www.cnblogs.com/skywang12345/admin/EditPosts.aspx?postid=3311126 第1部分 Map概括 (01) Map ...
- ESLint 报错 import/no-unresolved
马的,就这个规则百度了大半天终于找到可以用的: 不得不说百度真的辣鸡 还是翻墙去谷歌找到了解决方法 解决方法是:在 .eslintrc 中设置 "rules": { "i ...
- iar8.32版本关于cmsis的说明
平台是cubemx5.3 keil5.26 带freertos,使用iar8.32,在上图中的use cmsis 打勾与否都能编译通过.
- ServletContextListener和ServletContext
web开发中,每个人都必须要深刻掌握的技能——servlet,学习servlet,就必然要理解ServletContext(javax.servle.ServletContext)接口. 先让我们看下 ...