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niewj 发布了文章 · 11月20日

elasticsearch笔记-002-API通用可选参数

[toc]

1. API通用可选参数

1.1. 美观、格式化结果数据

  • ?pretty=true 格式化为json
  • ?format=yaml 结果展示为 yml
  • ?human=false 关闭 1h/1kb等人性化转换

1.2 响应过滤:filter_path

1.2.1 响应过滤用法

原来请求:

GET /bank/_doc/1

原响应:

{
  "_index" : "bank",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 3,
  "_seq_no" : 1001,
  "_primary_term" : 1,
  "found" : true,
  "_source" : {
    "account_number" : 1,
    "balance" : 39225,
    "firstname" : "Amber",
    "lastname" : "Duke",
    "age" : 32,
    "gender" : "M",
    "address" : "880 Holmes Lane",
    "employer" : "Pyrami",
    "email" : "amberduke@pyrami.com",
    "city" : "Brogan",
    "state" : "IL"
  }
}

加上响应过滤:采用逗号分隔的过滤器列表

GET /bank/_doc/1?filter_path=_version,_source.firstname,_source.age,_source.balance

加上后的响应:

{
  "_version" : 3,
  "_source" : {
    "balance" : 39225,
    "firstname" : "Amber",
    "age" : 32
  }
}

1.2.2 响应过滤支持通配符 "*"

请求:

# 响应过滤
GET /bank/_doc/1?filter_path=_version,_source.*name,_source.age,_source.*e

响应:

{
  "_version" : 3,
  "_source" : {
    "balance" : 39225,
    "firstname" : "Amber",
    "lastname" : "Duke",
    "age" : 32,
    "state" : "IL"
  }
}

原响应参考上边 1.2.1所列;

1.2.3 响应过滤:排除字段 "-"

请求:

GET /bank/_doc/1?filter_path=-_type,-_source

过滤后响应:

{
  "_index" : "bank",
  "_id" : "1",
  "_version" : 3,
  "_seq_no" : 1001,
  "_primary_term" : 1,
  "found" : true
}

可见, _type字段和_source节点,都被排除掉了;

1.2.4 响应过滤:*-混用时,先排除,再过滤

例1:

GET /bank/_doc/1?filter_path=_version,_source.*name,_source.age,_source.*e,-_source

结果:

{
  "_version" : 3
}

例2:

GET /bank/_doc/1?filter_path=_version,_source.*name,_source.age,_source.*e,-_source.lastname

结果:

{
  "_version" : 3,
  "_source" : {
    "balance" : 39225,
    "firstname" : "Amber",
    "age" : 32,
    "state" : "IL"
  }
}

1.3 时间单位

2d for 2 days

dDays
hHours
mMinutes
sSeconds
msMilliseconds
microsMicroseconds
nanosNanoseconds

 1.4 字节单位

bBytes
kbKilobytes
mbMegabytes
gbGigabytes
tbTerabytes
pbPetabytes

1.5 打印错误堆栈踪迹:error_trace=true

看下面3个输出

GET /library/_search?size=1&filter_path=hits.hits._source
{
  "hits" : {
    "hits" : [
      {
        "_source" : {
          "title" : "Book #1",
          "rating" : 200.1
        }
      }
    ]
  }
}

这个是正确时的输出.

我们传个错误参数 size=Y

GET /library/_search?size=Y&filter_path=hits.hits._source

输出:

{
  "error": {
    "root_cause": [
      {
        "type": "illegal_argument_exception",
        "reason": "Failed to parse int parameter [size] with value [Y]"
      }
    ],
    "type": "illegal_argument_exception",
    "reason": "Failed to parse int parameter [size] with value [Y]",
    "caused_by": {
      "type": "number_format_exception",
      "reason": "For input string: \"Y\""
    }
  },
  "status": 400
}

下面再看个完整堆栈信息的方式: error_trace

GET /library/_search?size=Y&filter_path=hits.hits._source&error_trace=true

outpu:

{
  "error": {
    "root_cause": [
      {
        "type": "illegal_argument_exception",
        "reason": "Failed to parse int parameter [size] with value [Y]",
        "stack_trace": "[Failed to parse int parameter [size] with value [Y]]; nested: IllegalArgumentException[Failed to parse int parameter [size] with value [Y]]; nested: NumberFormatException.........."
      }
    ],
    "type": "illegal_argument_exception",
    "reason": "Failed to parse int parameter [size] with value [Y]",
    "caused_by": {
      "type": "number_format_exception",
      "reason": "For input string: \"Y\"",
      "stack_trace": "java.lang.NumberFormatException: For input string: \"Y\"\n\tat java.base/java.lang.NumberFormatException.forInputString(NumberFormatException.java:68)................"
  },
  "status": 400
}

........省去了很多输出信息!

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niewj 发布了文章 · 11月18日

zookeeper笔记之-001-watch

zookeeper官网文档摘抄


1. ZooKeeper Watches->ZooKeeper中的所有读取操作:

(All of the read operations in ZooKeeper):

getData(), getChildren(), and exists() - have the option of setting a watch as a side effect.

getData(), getChildren(), and exists() - 可以有选择的设置一个watch作为一个副作用

Here is ZooKeeper's definition of a watch: a watch event is one-time trigger, sent to the client that set the watch, which occurs when the data for which the watch was set changes.

以下是ZooKeeper对 watch 的定义:watch事件是一次性触发的,发送给设置watch的客户端,当watch所设置的数据发生变化时,就会发生watch事件。

1.2 在这个watch的定义中,有三个关键点需要考虑:

There are three key points to consider in this definition of a watch:

1. One-time trigger(一次性触发)

One watch event will be sent to the client when the data has changed.

当数据发生变化时,将发送一个watch事件给客户端。

For example, if a client does a getData("/znode1", true) and later the data for /znode1 is changed or deleted, the client will get a watch event for /znode1.

例如,如果客户端执行了getData("/znode1", true),之后/znode1的数据被更改或删除,客户端将获得/znode1的一个监视事件。

If /znode1 changes again, no watch event will be sent unless the client has done another read that sets a new watch.

如果/znode1再次更改,将不会发送watch事件,除非客户端已经完成了另一个读取来设置新的watch。

2. Sent to the client (发送给client):

This implies that an event is on the way to the client, but may not reach the client before the successful return code to the change operation reaches the client that initiated the change.

这意味着一个事件正在到达客户端,但是在变更操作成功返回的代码到达发起变更的客户端之前可能无法到达客户端。

Watches are sent asynchronously to watchers.

watch被异步发送给观察者。

ZooKeeper provides an ordering guarantee: a client will never see a change for which it has set a watch until it first sees the watch event.

ZooKeeper提供了一个有序保证:客户在第一次看到watch事件之前,不会看到它已经设置了watch的变化。

Network delays or other factors may cause different clients to see watches and return codes from updates at different times.

网络延迟或其他因素可能导致不同的客户端在不同的时间查看监视和从更新返回代码。

The key point is that everything seen by the different clients will have a consistent order.

关键的一点是,不同客户看到的所有东西都有一个一致的顺序。

3. The data for which the watch was set (为watch设置的数据):

This refers to the different ways a node can change.

这指的是node可以更改的不同方式。

It helps to think of ZooKeeper as maintaining two lists of watches: data watches and child watches.

我们可以将ZooKeeper看作维护两个watch列表:数据watch和child watch。

getData() and exists() set data watches. getChildren() sets child watches.

getData()和exists()设置数据监视。getChildren()设置child watch。

Alternatively, it may help to think of watches being set according to the kind of data returned.

另一种方法是根据返回的数据类型来设置watch。

getData() and exists() return information about the data of the node, whereas getChildren() returns a list of children.

getData()和 exists()返回关于节点数据的信息,而getChildren()返回子节点列表。

Thus, setData() will trigger data watches for the znode being set (assuming the set is successful).

因此,setData()将触发正在设置的znode的数据监视(假设设置成功)。

A successful create() will trigger a data watch for the znode being created and a child watch for the parent znode.

成功的create()将触发正在创建的znode的数据监视和父znode的子监视。

A successful delete() will trigger both a data watch and a child watch (since there can be no more children) for a znode being deleted as well as a child watch for the parent znode.

成功的delete()将同时触发删除znode的数据监视和子监视(因为不可能有更多的子监视),以及父znode的子监视。

2. watches的管理

Watches are maintained locally at the ZooKeeper server to which the client is connected.

watches 在客户机连接的ZooKeeper服务器上本地维护。

This allows watches to be lightweight to set, maintain, and dispatch.

这使得 watches 在设置、维护和分派方面都是轻量级的。

When a client connects to a new server, the watch will be triggered for any session events.

当客户端连接到新服务器时,watch会被任何会话事件触发

Watches will not be received while disconnected from a server.

当从服务器断开连接时,将不会收到 Watches。

When a client reconnects, any previously registered watches will be reregistered and triggered if needed.

当客户端重新连接时,任何之前注册的 watches 都将重新注册并在需要时触发。

In general this all occurs transparently.

一般来说,这一切都是透明的。

There is one case where a watch may be missed: a watch for the existence of a znode not yet created will be missed if the znode is created and deleted while disconnected.

有一种情况可能会漏掉一个 watch : watch 因为znode还没有创建, 此时断开连接,就会漏掉。

3. Watches的语义

We can set watches with the three calls that read the state of ZooKeeper: exists, getData, and getChildren.

我们可以用读取ZooKeeper状态的三个调用来设置watch:exists、getData和getChildren

The following list details the events that a watch can trigger and the calls that enable them:

下面的列表详细说明了watch可以触发的事件,以及启用它们的调用:

Created event: Enabled with a call to exists.

通过调用exists启用

Deleted event: Enabled with a call to exists, getData, and getChildren.

通过调用exists、getData和getChildren启用。

Changed event: Enabled with a call to exists and getData.

通过调用exists和getData启用

Child event: Enabled with a call to getChildren.

通过调用获取子节点启用

4. 持久、递归的watch: Persistent, Recursive Watches

New in 3.6.0: There is now a variation on the standard watch described above whereby you can set a watch that does not get removed when triggered.

现在有一个变化的标准watch上面描述,你可以设置一个watch,触发时不删除。

Additionally, these watches trigger the event types NodeCreated, NodeDeleted, and NodeDataChanged and, optionally, recursively for all znodes starting at the znode that the watch is registered for.

此外,这些监视会触发NodeCreated、NodeDeleted和NodeDataChanged这些事件类型,而且对于从监视所注册的znode开始的所有znodes,还可以递归地触发这些事件类型

Note that NodeChildrenChanged events are not triggered for persistent recursive watches as it would be redundant.

注意,对于持久递归监视,不会触发NodeChildrenChanged事件,因为它是冗余的。

Persistent watches are set using the method addWatch().

使用addWatch()方法设置持久监视。

The triggering semantics and guarantees (other than one-time triggering) are the same as standard watches.

触发语义和保证(除了一次性触发)与标准watch相同

The only exception regarding events is that recursive persistent watchers never trigger child changed events as they are redundant.

关于事件的唯一例外是,递归持久监视器不会触发子更改事件,因为它们是冗余的

Persistent watches are removed using removeWatches() with watcher type WatcherType.Any.

使用removeWatches()和观察者类型WatcherType.Any来删除持久的监视。

5. 移除watches:(Remove Watches):

We can remove the watches registered on a znode with a call to removeWatches.

我们可以通过调用 removeWatches 来删除在znode上注册的watch。

Also, a ZooKeeper client can remove watches locally even if there is no server connection by setting the local flag to true.

另外,通过将local标志设置为true,即使没有服务器连接,ZooKeeper客户端也可以在本地删除watch。

The following list details the events which will be triggered after the successful watch removal.

以下列表详细说明了成功移除watch后将触发的事件。
  • Child Remove event(子移除事件):
    Watcher which was added with a call to getChildren. 监视器,它是通过调用getChildren添加的。
  • Data Remove event(数据删除事件):
    Watcher which was added with a call to exists or getData.通过调用exists或getData添加的监视
  • Persistent Remove event(持久删除事件):
    Watcher which was added with a call to add a persistent watch.监视器,它是通过调用添加一个持久的watch而添加的。

6. 关于Watcher需要记住的事情(Things to Remember about Watches)

  • Standard watches are one time triggers; if you get a watch event and you want to get notified of future changes, you must set another watch
标准watch为一次性触发器;如果您获得了一个watch事件,并且希望获得关于未来更改的通知,则必须设置另一个watch
  • Because standard watches are one time triggers and there is latency between getting the event and sending a new request to get a watch you cannot reliably see every change that happens to a node in ZooKeeper. Be prepared to handle the case where the znode changes multiple times between getting the event and setting the watch again. (You may not care, but at least realize it may happen.)
因为标准watch是一次性触发器,在获取事件和发送新请求来获取watch之间存在延迟,你不能可靠地看到ZooKeeper中某个节点发生的每个变化。
准备好处理在获取事件和再次设置watch之间znode多次更改的情况。
(你可能不在乎,但至少要意识到这可能会发生。)
  • A watch object, or function/context pair, will only be triggered once for a given notification. For example, if the same watch object is registered for an exists and a getData call for the same file and that file is then deleted, the watch object would only be invoked once with the deletion notification for the file.
一个watch对象,或函数/上下文对,将只触发一次,为一个给定的通知。例如,如果同一个watch对象注册了exists和同一个文件的getData调用,然后该文件被删除,那么这个watch对象只会被调用一次,并带有该文件的删除通知。
  • When you disconnect from a server (for example, when the server fails), you will not get any watches until the connection is reestablished. For this reason session events are sent to all outstanding watch handlers. Use session events to go into a safe mode: you will not be receiving events while disconnected, so your process should act conservatively in that mode.
当您断开与服务器的连接时(例如,当服务器失败时),在重新建立连接之前,您将不会获得任何watch。因此,会话事件被发送到所有未完成的监视处理程序。使用会话事件进入安全模式:断开连接时将不会接收事件,因此流程在该模式下应谨慎行事。
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niewj 回答了问题 · 11月17日

跨项目读取Spring配置文件的一个问题?

检查看看打包引入进去了否

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niewj 回答了问题 · 11月16日

IDEA 在jsp文件中插入<% for(){ %>html语句<% } %>,这样是错的吗?

空指针, 是不是没取到你后台放到request中的数据

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niewj 发布了文章 · 11月9日

Redis4个问题

  1. Redis单线程为什么快?

1). 纯内存操作
2). 非阻塞的IO多路复用
3). 单线程 避免了频繁的上下文切换

  1. Redis如何删除缓存?

定时删除+惰性删除
1). 每隔100ms->随机抽一些key->检查过期时间
2). 查某个key时->检查过期时间->过期则删除

  1. Redis内存淘汰策略

1). Noevict不删除->报错
2). Allkey-lru:最近最少使用的key
3). Allkey-random: 随机删除
4). Volatile-lru: 有过期时间的key中lru
5). Volatile-random:有过期时间的中随机删除
6). Volatile-ttl: 有过期时间的key中删更早的。

  1. LruCacheLruCache<K,V> extends LinkedHashMap

1). 构造方法true
2). 成员变量 private int CASH_SIZE
3). removeEldestEntry->return size()>CASH_SIZE

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niewj 发布了文章 · 11月5日

拦截器-过滤器-切面比较

1. 切面

1.1. 切片(类) @Aspect

@Aspect

UserController.*(..)

1.2. 切入点(注解) @Around

Around("execution(* com.niewj.controller.)")

1.3 增强(方法)

public Object process(ProceedingJointPoint pjp){
    // 调用前
    Object o = pjp.proceed(); // 1. 调用原方法
    // 调用后
    Object[] args = pjp.getArg(); // 2. 拿参数
    for(Object arg:args){
        System.out.println("arg is: "+ arg)
    }
}

2. 拦截器

实现HandlerInterceptor接口
继承HandlerInterceptorAdapter类

2.1 preHandler

@Override
public boolean preHandle
    (HttpServletRequest request, 
     HttpServletResponse response, 
     Object handler // Object-> HandlerMethod
    ) throws Exception {
    
    return true;
}
Controller的方法被处理之前, preHandler会被调用;

2.2 postHandler

@Override
public void postHandle
    (HttpServletRequest request, 
     HttpServletResponse response, 
     Object handler, // Object-> HandlerMethod
     ModelAndView modelAndView
    ) throws Exception {
}

Controller的方法被处理之后, postHandle会被调用, 但有个前提:

  1. preHandler返回false
  2. Controller的方法发生异常

这两种状况都不会调用 postHandler ;

2.3 afterCompletion

@Override
public void afterCompletion
    (HttpServletRequest request, 
     HttpServletResponse response, 
     Object handler, // Object-> HandlerMethod
     Exception ex    // Controller发生的异常
    ) throws Exception {
    
}
无论Controller的方法正常完成或发生异常, 都会调用, 而且可以拿到 Exception 对象!

若 handler成功, 则 ex==null; 若 handler抛出异常, ex有值(前提是: @ExceptionHandler没有处理抛出的异常, 如果处理了, 就到不了ex这里了);

3. 过滤器

  1. 自研filter @Component
  2. 第三方filter Config类: 专做注册类
@Configuration
public class WebConfig{
    @Bean
    public FilterRegisterationBean timeFilter(){
        // 1. filter注册bean
        FilterRegistrationBean filterBean = new FilterRegistrationBean();
        
        // 2. 三方filter
        TimeFilter timeFilter = new TimeFilter(); 
        filterBean.setFilter(timeFilter); // 过滤器对象
        List<String> urls = new ArrayList<>();
        urls.add("/*");
        
        // 3. 过滤器模式
        filterBean.setUrlPatterns(urls);
        
        return filterBean;
    }
}

4. 过滤器/拦截器/切面类比较

4.1 Filter

1. 可以拿到原始的Request和Response信息;
2. 拿不到拦截的方法信息(拦截的类名/方法名)

4.2 Interceptor

1. 可以拿到原始的Request和Response信息;
2. 可以拿到拦截的控制器的方法信息(拦截的类名/方法名);
3. 拿不到拦截的控制器的方法参数信息;

4.3 Aspect

1. 拿不到Request和Response信息;
2. 可以拿到拦截的拦截的控制器的类和方法信息;
3. 可以拿到拦截的控制器的方法参数信息;

4.4 拦截器 vs 过滤器其他方面比较

1. Filter声明@Component就会起作用; Interceptor需要再 registry;
2. Filter 先于 Interceptor执行;
3. Filter 是 Servlet规范, 拿不到 Spring的控制器的类和方法! 拦截器是Spring的, 它可以拿到所拦截控制器的类和方法;
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niewj 回答了问题 · 10月27日

git合并弹出需要提交消息解释这种合并是有必要的?

git应该是需要书写 commit message才能提交的吧; svn不写貌似也可以提交.

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niewj 发布了文章 · 10月22日

elasticsearch笔记-001-基础操作

1. _cat查看信息

1.1. _cat/health 查看集群健康状况

1602493310 09:01:50 elasticsearch yellow 1 1 10 10 0 0 5 0 - 66.7%

1.2. _cat/master 查看主节点信息

bQY8I8hFSjmCHO_1-MKfZg 127.0.0.1 127.0.0.1 83c34a872f4c

1.3 _cat/indices 查看索引信息

green open .security-7 M61Q-ekUQmGZP1FtS8ukfQ 1 0 42 0 74kb 74kb
yellow open niewj UuJpWw6UQcKBH8-TWquNng 5 1 0 0 1.3kb 1.3kb
green open .kibana_task_manager_1 1ebsopUOSN-P8ToMX-mklA 1 0 2 0 22.5kb 22.5kb
green open .apm-agent-configuration Le9Ig6qiSdaxMRLvmg43Lg 1 0 0 0 283b 283b
green open kibana_sample_data_logs jo7AsHgeTniG509NZWUi-A 1 0 14074 0 11.7mb 11.7mb
green open .kibana_1 o1ntzX2YRFGfU__BzFPYhg 1 0 47 0 109.1kb 109.1kb

1.4 其他 _cat 命令

/_cat/allocation
/_cat/shards
/_cat/shards/{index}
/_cat/master
/_cat/nodes
/_cat/tasks
/_cat/indices
/_cat/indices/{index}
/_cat/segments
/_cat/segments/{index}
/_cat/count
/_cat/count/{index}
/_cat/recovery
/_cat/recovery/{index}
/_cat/health
/_cat/pending_tasks
/_cat/aliases
/_cat/aliases/{alias}
/_cat/thread_pool
/_cat/thread_pool/{thread_pools}
/_cat/plugins
/_cat/fielddata
/_cat/fielddata/{fields}
/_cat/nodeattrs
/_cat/repositories
/_cat/snapshots/{repository}
/_cat/templates

2. put/post 新增和修改二合一

注意下划线开始的属性是元数据

2.1 带ID的PUT和POST

2.1.1 带ID的put

PUT customer/_doc/1
{
  "name": "niewj",
  "age": 20,
  "gender": "male"
}

连续两次请求结果:

{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 21,
  "result" : "updated",
  "_shards" : {
    "total" : 2,
    "successful" : 1,
    "failed" : 0
  },
  "_seq_no" : 24,
  "_primary_term" : 1
}
---
{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 22,
  "result" : "updated",
  "_shards" : {
    "total" : 2,
    "successful" : 1,
    "failed" : 0
  },
  "_seq_no" : 25,
  "_primary_term" : 1
}

可见: _seq_no和version都出现了新增, 每次都是 updated;

2.1.2 带ID的post跟put一样

2.2 不带ID的put=报错405

put customer/_doc/
{
  "name": "niewj",
  "age": 20,
  "gender": "male"
}

报错405:

{
  "error": "Incorrect HTTP method for uri [/customer/_doc/?pretty] and method [PUT], allowed: [POST]",
  "status": 405
}

2.3 不带ID的post=每次生成随机新ID

POST customer/_doc/
{
  "name": "niewj",
  "age": 20,
  "gender": "male"
}

连续两次请求结果: 每次都可以成功

{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "BvNkUHUB7InhghdEZD0I",
  "_version" : 1,
  "result" : "created",
  "_shards" : {
    "total" : 2,
    "successful" : 1,
    "failed" : 0
  },
  "_seq_no" : 26,
  "_primary_term" : 1
}
---
{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "B_NkUHUB7InhghdEqD3G",
  "_version" : 1,
  "result" : "created",
  "_shards" : {
    "total" : 2,
    "successful" : 1,
    "failed" : 0
  },
  "_seq_no" : 27,
  "_primary_term" : 1
}

但是每次都生成不同的"_id", 也就是说: 每次都是新的数据!

3. POST+_update的更新: 检查更新

#POST customer/_doc/1/_update
POST customer/_update/1
{
  "doc":{
    "name": "niewj",
    "age": 20,
    "gender": "male"
  }
}

注意:

POST customer/_doc/1/_update 这种方式不再推荐(因为type机制移除的原因), 如果使用上面的

POST customer/_doc/1/_update: 会提示:

#! Deprecation: [types removal] Specifying types in document update requests is deprecated, use the endpoint /{index}/_update/{id} instead.

POST customer/_update/1 连续多次请求的结果:

{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 22,
  "result" : "noop",
  "_shards" : {
    "total" : 0,
    "successful" : 0,
    "failed" : 0
  },
  "_seq_no" : 25,
  "_primary_term" : 1
}
---
{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 22,
  "result" : "noop",
  "_shards" : {
    "total" : 0,
    "successful" : 0,
    "failed" : 0
  },
  "_seq_no" : 25,
  "_primary_term" : 1
}

可见, 多次请求无变化, post+_update的方式会检查内容的变化, 如果无变化, 则不更新, 有变化才更新; 单纯post和put的方式, 是会每次更新的, 不检查内容; 另外需要注意的是 post+_update的调用方式, 需要把数据放在 doc结构里:

POST customer/_update/1
{
  "doc":{
    "name": "niewj",
    "age": 20,
    "gender": "male"
  }
}

4. get查询数据

4.1 指定ID的查询:

GET customer/_doc/1

查询结果:

{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 22,
  "_seq_no" : 25,
  "_primary_term" : 1,
  "found" : true,
  "_source" : {
    "name" : "niewj",
    "age" : 20,
    "gender" : "male"
  }
}

4.2 直接GET索引名:返回的是索引的定义信息

GET customer

查询结果:

{
  "customer" : {
    "aliases" : { },
    "mappings" : {
      "properties" : {
        "age" : {
          "type" : "long"
        },
        "gender" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        },
        "name" : {
          "type" : "text",
          "fields" : {
            "keyword" : {
              "type" : "keyword",
              "ignore_above" : 256
            }
          }
        }
      }
    },
    "settings" : {
      "index" : {
        "creation_date" : "1602493864109",
        "number_of_shards" : "1",
        "number_of_replicas" : "1",
        "uuid" : "j5DyzqgTTnG9aWRnAgHVmA",
        "version" : {
          "created" : "7040299"
        },
        "provided_name" : "customer"
      }
    }
  }
}

包括: mappings/alias/settings, 其中 mappings包括properties, 它的内容就是文档数据的字段类型的说明:

age/gender/name等索引字段的定义说明

5. 乐观锁和并发修改:_seq_no和_primary_term

5.1 乐观锁字段说明

_seq_no: 文档版本号, 作用同version

_primary_term: 文档所在位置

我们在并发修改的时候, 指定文档序列号(_seq_no):

5.2 并发修改模拟

  1. 我们先查询看看:
GET customer/_doc/1

数据:

{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 22,
  "_seq_no" : 25,
  "_primary_term" : 1,
  "found" : true,
  "_source" : {
    "name" : "niewj",
    "age" : 20,
    "gender" : "male"
  }
}
  1. 并发修改时:
PUT customer/_doc/1?if_seq_no=25&if_primary_term=1
{
  "name": "jack",
  "age": 22
}

结果:

{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 23,
  "result" : "updated",
  "_shards" : {
    "total" : 2,
    "successful" : 1,
    "failed" : 0
  },
  "_seq_no" : 29,
  "_primary_term" : 1
}
  1. 在此查询 看结果:
GET customer/_doc/1

结果:

{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 23,
  "_seq_no" : 29,
  "_primary_term" : 1,
  "found" : true,
  "_source" : {
    "name" : "jack",
    "age" : 22
  }
}

文档已更新;(注意是全量更新)

  1. 此时如果再次调用, 就会报错, 因为_seq_no已经发生了改变:
{
  "error": {
    "root_cause": [
      {
        "type": "version_conflict_engine_exception",
        "reason": "[1]: version conflict, required seqNo [25], primary term [1]. current document has seqNo [29] and primary term [1]",
        "index_uuid": "j5DyzqgTTnG9aWRnAgHVmA",
        "shard": "0",
        "index": "customer"
      }
    ],
    "type": "version_conflict_engine_exception",
    "reason": "[1]: version conflict, required seqNo [25], primary term [1]. current document has seqNo [29] and primary term [1]",
    "index_uuid": "j5DyzqgTTnG9aWRnAgHVmA",
    "shard": "0",
    "index": "customer"
  },
  "status": 409
}

6. 删除文档和索引

6.1 删除document

DELETE customer/_doc/1

结果:

{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 24,
  "result" : "deleted",
  "_shards" : {
    "total" : 2,
    "successful" : 1,
    "failed" : 0
  },
  "_seq_no" : 30,
  "_primary_term" : 1
}
---再次删除时会:
{
  "_index" : "customer",
  "_type" : "_doc",
  "_id" : "1",
  "_version" : 1,
  "result" : "not_found",
  "_shards" : {
    "total" : 2,
    "successful" : 1,
    "failed" : 0
  },
  "_seq_no" : 31,
  "_primary_term" : 1
}

第一次调用会成功删除deleted, 再次调用就: not_found

6.2 删除index

es去掉了type的概念之后(其实之前也没有删除type的机制), 就更明了了:

删除索引:

DELETE customer

result:

{
  "acknowledged" : true
}
---再次调用时报错:
{
  "error" : {
    "root_cause" : [
      {
        "type" : "index_not_found_exception",
        "reason" : "no such index [customer]",
        "resource.type" : "index_or_alias",
        "resource.id" : "customer",
        "index_uuid" : "_na_",
        "index" : "customer"
      }
    ],
    "type" : "index_not_found_exception",
    "reason" : "no such index [customer]",
    "resource.type" : "index_or_alias",
    "resource.id" : "customer",
    "index_uuid" : "_na_",
    "index" : "customer"
  },
  "status" : 404
}

第一次删除索引时成功acknowledged=true, ;再次删除因为没有了, 所以报错!

7. bulk批量导入数据:post+_bulk

7.1 批量执行3个文档的插入:

POST customer/_bulk
{"index": {"_id": "1"}}
{"name": "niewj"}
{"index": {"_id": "2"}}
{"name": "jack"}
{"index": {"_id": "5"}}
{"name": "michel"}

第一行是元信息, 随后的一行是具体的数据, 此处的操作是, 批量执行3个索引文档的操作, 每个操作有自己独立的结果item信息:

{
  "took" : 6,
  "errors" : false,
  "items" : [
    {
      "index" : {
        "_index" : "customer",
        "_type" : "_doc",
        "_id" : "1",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 9,
        "_primary_term" : 1,
        "status" : 201
      }
    },
    {
      "index" : {
        "_index" : "customer",
        "_type" : "_doc",
        "_id" : "2",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 10,
        "_primary_term" : 1,
        "status" : 201
      }
    },
    {
      "index" : {
        "_index" : "customer",
        "_type" : "_doc",
        "_id" : "5",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 11,
        "_primary_term" : 1,
        "status" : 201
      }
    }
  ]
}

每个item是有各自的操作结果的! -> "result" : "created"

7.2 混合的批量操作

POST customer/_bulk
{"delete": {"_id": "1"}}
{"delete": {"_id": "2"}}
{"delete": {"_id": "5"}}
{"index": {"_id": "1"}}
{"name": "niewj01"}
{"index": {"_id": "2"}}
{"name": "niewj02"}

混合的批量操作: 3个delete文档的操作, 2个索引文档的操作, 所以这个结果应该有5个items元素:

{
  "took" : 28,
  "errors" : false,
  "items" : [
    {
      "delete" : {
        "_index" : "customer",
        "_type" : "_doc",
        "_id" : "1",
        "_version" : 2,
        "result" : "deleted",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 12,
        "_primary_term" : 1,
        "status" : 200
      }
    },
    {
      "delete" : {
        "_index" : "customer",
        "_type" : "_doc",
        "_id" : "2",
        "_version" : 2,
        "result" : "deleted",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 13,
        "_primary_term" : 1,
        "status" : 200
      }
    },
    {
      "delete" : {
        "_index" : "customer",
        "_type" : "_doc",
        "_id" : "5",
        "_version" : 2,
        "result" : "deleted",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 14,
        "_primary_term" : 1,
        "status" : 200
      }
    },
    {
      "index" : {
        "_index" : "customer",
        "_type" : "_doc",
        "_id" : "1",
        "_version" : 3,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 15,
        "_primary_term" : 1,
        "status" : 201
      }
    },
    {
      "index" : {
        "_index" : "customer",
        "_type" : "_doc",
        "_id" : "2",
        "_version" : 3,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 16,
        "_primary_term" : 1,
        "status" : 201
      }
    }
  ]
}

上面的批量操作都是在一个index下的, 其实也可以不指定index, 在元信息中指定, 这样, 可以对多个文档进行批量操作, 具体操作略~

7.3 批量初始化官网的accounts.json案例数据

accounts.json数据内容

POST bank/_bulk
{"index":{"_id":"938"}}
{"account_number":938,"balance":9597,"firstname":"Sharron","lastname":"Santos","age":40,"gender":"F","address":"215 Matthews Place","employer":"Zenco","email":"sharronsantos@zenco.com","city":"Wattsville","state":"VT"}
{"index":{"_id":"940"}}
{"account_number":940,"balance":23285,"firstname":"Melinda","lastname":"Mendoza","age":38,"gender":"M","address":"806 Kossuth Place","employer":"Kneedles","email":"melindamendoza@kneedles.com","city":"Coaldale","state":"OK"}
......数据的内容粘贴

结果:

{
  "took" : 612,
  "errors" : false,
  "items" : [
   {
      "index" : {
        "_index" : "bank",
        "_type" : "_doc",
        "_id" : "1",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 0,
        "_primary_term" : 1,
        "status" : 201
      }
    },
    {
      "index" : {
        "_index" : "bank",
        "_type" : "_doc",
        "_id" : "6",
        "_version" : 1,
        "result" : "created",
        "_shards" : {
          "total" : 2,
          "successful" : 1,
          "failed" : 0
        },
        "_seq_no" : 1,
        "_primary_term" : 1,
        "status" : 201
      }
    },......
]}
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niewj 发布了文章 · 10月22日

accounts.json: elasticsearch官网的测试数据

{"index":{"_id":"1"}}
{"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"amberduke@pyrami.com","city":"Brogan","state":"IL"}
{"index":{"_id":"6"}}
{"account_number":6,"balance":5686,"firstname":"Hattie","lastname":"Bond","age":36,"gender":"M","address":"671 Bristol Street","employer":"Netagy","email":"hattiebond@netagy.com","city":"Dante","state":"TN"}
{"index":{"_id":"13"}}
{"account_number":13,"balance":32838,"firstname":"Nanette","lastname":"Bates","age":28,"gender":"F","address":"789 Madison Street","employer":"Quility","email":"nanettebates@quility.com","city":"Nogal","state":"VA"}
{"index":{"_id":"18"}}
{"account_number":18,"balance":4180,"firstname":"Dale","lastname":"Adams","age":33,"gender":"M","address":"467 Hutchinson Court","employer":"Boink","email":"daleadams@boink.com","city":"Orick","state":"MD"}
{"index":{"_id":"20"}}
{"account_number":20,"balance":16418,"firstname":"Elinor","lastname":"Ratliff","age":36,"gender":"M","address":"282 Kings Place","employer":"Scentric","email":"elinorratliff@scentric.com","city":"Ribera","state":"WA"}
{"index":{"_id":"25"}}
{"account_number":25,"balance":40540,"firstname":"Virginia","lastname":"Ayala","age":39,"gender":"F","address":"171 Putnam Avenue","employer":"Filodyne","email":"virginiaayala@filodyne.com","city":"Nicholson","state":"PA"}
{"index":{"_id":"32"}}
{"account_number":32,"balance":48086,"firstname":"Dillard","lastname":"Mcpherson","age":34,"gender":"F","address":"702 Quentin Street","employer":"Quailcom","email":"dillardmcpherson@quailcom.com","city":"Veguita","state":"IN"}
{"index":{"_id":"37"}}
{"account_number":37,"balance":18612,"firstname":"Mcgee","lastname":"Mooney","age":39,"gender":"M","address":"826 Fillmore Place","employer":"Reversus","email":"mcgeemooney@reversus.com","city":"Tooleville","state":"OK"}
{"index":{"_id":"44"}}
{"account_number":44,"balance":34487,"firstname":"Aurelia","lastname":"Harding","age":37,"gender":"M","address":"502 Baycliff Terrace","employer":"Orbalix","email":"aureliaharding@orbalix.com","city":"Yardville","state":"DE"}
{"index":{"_id":"49"}}
{"account_number":49,"balance":29104,"firstname":"Fulton","lastname":"Holt","age":23,"gender":"F","address":"451 Humboldt Street","employer":"Anocha","email":"fultonholt@anocha.com","city":"Sunriver","state":"RI"}
{"index":{"_id":"51"}}
{"account_number":51,"balance":14097,"firstname":"Burton","lastname":"Meyers","age":31,"gender":"F","address":"334 River Street","employer":"Bezal","email":"burtonmeyers@bezal.com","city":"Jacksonburg","state":"MO"}
{"index":{"_id":"56"}}
{"account_number":56,"balance":14992,"firstname":"Josie","lastname":"Nelson","age":32,"gender":"M","address":"857 Tabor Court","employer":"Emtrac","email":"josienelson@emtrac.com","city":"Sunnyside","state":"UT"}
{"index":{"_id":"63"}}
{"account_number":63,"balance":6077,"firstname":"Hughes","lastname":"Owens","age":30,"gender":"F","address":"510 Sedgwick Street","employer":"Valpreal","email":"hughesowens@valpreal.com","city":"Guilford","state":"KS"}
{"index":{"_id":"68"}}
{"account_number":68,"balance":44214,"firstname":"Hall","lastname":"Key","age":25,"gender":"F","address":"927 Bay Parkway","employer":"Eventex","email":"hallkey@eventex.com","city":"Shawmut","state":"CA"}
{"index":{"_id":"70"}}
{"account_number":70,"balance":38172,"firstname":"Deidre","lastname":"Thompson","age":33,"gender":"F","address":"685 School Lane","employer":"Netplode","email":"deidrethompson@netplode.com","city":"Chestnut","state":"GA"}
{"index":{"_id":"75"}}
{"account_number":75,"balance":40500,"firstname":"Sandoval","lastname":"Kramer","age":22,"gender":"F","address":"166 Irvington Place","employer":"Overfork","email":"sandovalkramer@overfork.com","city":"Limestone","state":"NH"}
{"index":{"_id":"82"}}
{"account_number":82,"balance":41412,"firstname":"Concetta","lastname":"Barnes","age":39,"gender":"F","address":"195 Bayview Place","employer":"Fitcore","email":"concettabarnes@fitcore.com","city":"Summerfield","state":"NC"}
{"index":{"_id":"87"}}
{"account_number":87,"balance":1133,"firstname":"Hewitt","lastname":"Kidd","age":22,"gender":"M","address":"446 Halleck Street","employer":"Isologics","email":"hewittkidd@isologics.com","city":"Coalmont","state":"ME"}
{"index":{"_id":"94"}}
{"account_number":94,"balance":41060,"firstname":"Brittany","lastname":"Cabrera","age":30,"gender":"F","address":"183 Kathleen Court","employer":"Mixers","email":"brittanycabrera@mixers.com","city":"Cornucopia","state":"AZ"}
{"index":{"_id":"99"}}
{"account_number":99,"balance":47159,"firstname":"Ratliff","lastname":"Heath","age":39,"gender":"F","address":"806 Rockwell Place","employer":"Zappix","email":"ratliffheath@zappix.com","city":"Shaft","state":"ND"}
{"index":{"_id":"102"}}
{"account_number":102,"balance":29712,"firstname":"Dena","lastname":"Olson","age":27,"gender":"F","address":"759 Newkirk Avenue","employer":"Hinway","email":"denaolson@hinway.com","city":"Choctaw","state":"NJ"}
{"index":{"_id":"107"}}
{"account_number":107,"balance":48844,"firstname":"Randi","lastname":"Rich","age":28,"gender":"M","address":"694 Jefferson Street","employer":"Netplax","email":"randirich@netplax.com","city":"Bellfountain","state":"SC"}
{"index":{"_id":"114"}}
{"account_number":114,"balance":43045,"firstname":"Josephine","lastname":"Joseph","age":31,"gender":"F","address":"451 Oriental Court","employer":"Turnabout","email":"josephinejoseph@turnabout.com","city":"Sedley","state":"AL"}
{"index":{"_id":"119"}}
{"account_number":119,"balance":49222,"firstname":"Laverne","lastname":"Johnson","age":28,"gender":"F","address":"302 Howard Place","employer":"Senmei","email":"lavernejohnson@senmei.com","city":"Herlong","state":"DC"}
{"index":{"_id":"121"}}
{"account_number":121,"balance":19594,"firstname":"Acevedo","lastname":"Dorsey","age":32,"gender":"M","address":"479 Nova Court","employer":"Netropic","email":"acevedodorsey@netropic.com","city":"Islandia","state":"CT"}
{"index":{"_id":"126"}}
{"account_number":126,"balance":3607,"firstname":"Effie","lastname":"Gates","age":39,"gender":"F","address":"620 National Drive","employer":"Digitalus","email":"effiegates@digitalus.com","city":"Blodgett","state":"MD"}
{"index":{"_id":"133"}}
{"account_number":133,"balance":26135,"firstname":"Deena","lastname":"Richmond","age":36,"gender":"F","address":"646 Underhill Avenue","employer":"Sunclipse","email":"deenarichmond@sunclipse.com","city":"Austinburg","state":"SC"}
{"index":{"_id":"138"}}
{"account_number":138,"balance":9006,"firstname":"Daniel","lastname":"Arnold","age":39,"gender":"F","address":"422 Malbone Street","employer":"Ecstasia","email":"danielarnold@ecstasia.com","city":"Gardiner","state":"MO"}
{"index":{"_id":"140"}}
{"account_number":140,"balance":26696,"firstname":"Cotton","lastname":"Christensen","age":32,"gender":"M","address":"878 Schermerhorn Street","employer":"Prowaste","email":"cottonchristensen@prowaste.com","city":"Mayfair","state":"LA"}
{"index":{"_id":"145"}}
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niewj 回答了问题 · 10月22日

rabbitmq 不消费了,重启消费者后,正常。过两个小时后 ,又出现异常了

看看是不是消费的时候遇到某个异常然后程序中断了? 是不是有没有处理的异常导致的;

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