如何杀死Redis上由Node打开的闲置客户端?(How to kill idle clients opened by Node on Redis?)
我很难自动关闭Redis的客户端连接。 这当然是
redis
包的一个问题:( https://www.npmjs.com/package/redis )
Redis将保持连接一直保持活动状态,直到您关闭它们或达到默认为无限的超时值。
我知道这一点:
甚至在阅读之前,我试图通过.conf文件和命令行设置
timeout
配置,但它们都没有工作。实际发生的事情非常奇怪:
如果我在N秒后运行
CLIENT LIST
:
- 仍有相同数量的空闲连接
- 客户端的'空闲'信息从0重新开始(例如,如果我设置了10秒的超时时间,11秒后
idle
信息为1)。- 地址变化。 端口号会随着创建新连接而更改,以免丢失该客户端。
- 客户端实际上连接到节点。 这似乎是一个新的节点过程。 如果我保持节点应用程序UP连接不会死。 如果我关闭应用程序所有由它创建的连接关闭。 所以
redis
模块可能是'重新启动'连接。关于我应该怎样强制“杀死”被杀害客户的任何想法?
Obs:我知道我可以用'quit()'来关闭客户端的连接,但是我必须保证在一段时间后它将摆脱任何未被应用程序关闭的闲置客户端。
I'm having a very difficult time to automatically close Redis' client connections. It is most certainly a problem with the
redis
package:(https://www.npmjs.com/package/redis)
Redis will keep connections alive until you close them or a timeout, that defaults to infinite, is reached.
I'm aware of this:
how do I kill idle redis clients
And even before reading on SO I tried to set the
timeout
config both by .conf file and by command line but none of them worked.What actually happens is very weird:
If I run
CLIENT LIST
after the N seconds:
- The same number of idle connections are still there
- The client 'idle' info restarts from 0 (for example, if I set 10 seconds of timeout, after 11 seconds the
idle
info is 1).- The addr changes. The port number changes as it is creating new connections to not lose that client.
- The client is actually attached to Node. It seems to be a new node process. If I keep the node app UP the connections won't die. If I close the app all connections created by it close. So
redis
module is probably 'restarting' the connection.Any ideas on what I should do not force the 'resurection' of a killed client?
Obs: I understand I can close the client's connection with 'quit()', but I must assure it will get rid of any idle client that wasn't closed by the application after some time.
原文:https://stackoverflow.com/questions/42721785
最满意答案
这是使用投影的Spring代码。 您可能需要根据从Spring上下文获取MongoOperations对象的方式替换此代码“getMongoConnection()”。
使用投影的聚合方法: -
public Boolean aggregateMyTypeCollectionUsingProject() { MongoOperations mongoOperations = getMongoConnection(); ProjectionOperation project = Aggregation.project().and("props.city").as("city").and("props.age").as("person.age").andExpression("name") .as("person.name"); Aggregation aggregate = Aggregation.newAggregation(project); System.out.println(aggregate.toString()); AggregationResults<DBObject> results = mongoOperations.aggregate(aggregate, MyType.class, DBObject.class); System.out.println("Result ============>" + results.getMappedResults()); return true; }
我的getMongoConnection()方法: -
@SuppressWarnings("resource") public MongoOperations getMongoConnection() { return (MongoOperations) new AnnotationConfigApplicationContext(SpringMongoConfig.class) .getBean("mongoTemplate"); }
查询: -
{ "aggregate" : "__collection__" , "pipeline" : [ { "$project" : { "city" : "$props.city" , "person.age" : "$props.age" , "person.name" : "$name"}}]}
输出: -
{ "_id": { "$oid": "57b32d31ced49443e4b79f0d" }, "city": "Moscow", "person": { "age": "26", "name": "Dmitry" } }
Here is the Spring code using projection. You may need to replace this code "getMongoConnection()" based on how you get MongoOperations object from Spring context.
Aggregate method using projection:-
public Boolean aggregateMyTypeCollectionUsingProject() { MongoOperations mongoOperations = getMongoConnection(); ProjectionOperation project = Aggregation.project().and("props.city").as("city").and("props.age").as("person.age").andExpression("name") .as("person.name"); Aggregation aggregate = Aggregation.newAggregation(project); System.out.println(aggregate.toString()); AggregationResults<DBObject> results = mongoOperations.aggregate(aggregate, MyType.class, DBObject.class); System.out.println("Result ============>" + results.getMappedResults()); return true; }
My getMongoConnection() method:-
@SuppressWarnings("resource") public MongoOperations getMongoConnection() { return (MongoOperations) new AnnotationConfigApplicationContext(SpringMongoConfig.class) .getBean("mongoTemplate"); }
Query:-
{ "aggregate" : "__collection__" , "pipeline" : [ { "$project" : { "city" : "$props.city" , "person.age" : "$props.age" , "person.name" : "$name"}}]}
Output:-
{ "_id": { "$oid": "57b32d31ced49443e4b79f0d" }, "city": "Moscow", "person": { "age": "26", "name": "Dmitry" } }
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