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d여기에서 Caching Mysql Query Responses in Redis using PHP – php redis close connection 주제에 대한 세부정보를 참조하세요
#Redis #RedisPHP #RedisMysql #RedisOnWondows
This tutorial is all about receiving data from Mysql database and storing the response in Redis cache for subsequent uses using PHP and Predis library.
The link to part one (which is about installing redis on windows and integrating redis and php) is https://youtu.be/ioCaSHNhIJA
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Redis::close, someline-starter PHP Code Examples
These are the top rated real world PHP examples of Redis::close from package … connect to redis server * * @param string $host * @param integer $port …
Source: hotexamples.com
Date Published: 1/21/2021
View: 5593
Why should I close or keep Redis connections open?
I use phpredis as a client. Sometimes, during long CLI-scripts, I experience PHP segmentation faults. I’ve experienced before that phpredis has …
Source: stackoverflow.com
Date Published: 8/14/2022
View: 3995
Why do redis PHP clients have so many connections
Why do redis PHP clients have so many connections … Of course, close connection pairs only connect The function is val. pconnect There is no need to …
Source: developpaper.com
Date Published: 1/27/2022
View: 8605
Detailed explanation of PHP using Redis long connection …
Using this method to create a connection, the connection will not be closed after the close method is called, but will be closed only after the …
Source: ofstack.com
Date Published: 4/27/2021
View: 3984
In-depth PHP, Redis connection – actorsfit
pconnect, the api used by the client to connect to the server in phpredis. The connection will not be closed on close or end of request until the php …
Source: blog.actorsfit.com
Date Published: 7/18/2021
View: 3926
Redis client handling
This is a non-configurable hard limit that will close the connection when the client query buffer (that is the buffer we use to accumulate commands from the …
Source: redis.io
Date Published: 1/7/2022
View: 4274
Redis Connection Pool | Open Swoole PHP
Redis Connection Pool. Latest version: pecl install openswoole-4.11.1. This is a Redis implementaion of ConnectionPool .
Source: openswoole.com
Date Published: 12/27/2021
View: 8830
How To Close Or Reset A Pconnect Connection When Using …
Using PHPRedis and Apache PHP-FPM I’m using the pconnect() call to re-use connections – its been helpful in past to not let the number of co…
Source: www.faqcode4u.com
Date Published: 8/19/2022
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주제에 대한 기사 평가 php redis close connection
- Author: CodingShoding with NJ
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- Date Published: 2021. 6. 18.
- Video Url link: https://www.youtube.com/watch?v=YLqd7cQxap8
Redis::close, someline-starter PHP Code Examples
/** * Properly close the connection. */ public function __destruct() { if ($this->redis instanceof Redis) { try { $this->redis->close(); } catch (RedisException $e) { /* * \Redis::close will throw a \RedisException(“Redis server went away”) exception if * we haven’t previously been able to connect to Redis or the connection has severed. */ } } }
Why should I close or keep Redis connections open?
I’m using Redis in a PHP project. I use phpredis as a client. Sometimes, during long CLI-scripts, I experience PHP segmentation faults.
I’ve experienced before that phpredis has problems when the connection times out. As my Redis config is configured to automatically close idle connections after 300 seconds, I guess that causes the segmentation fault.
In order to be able to choose whether to increase the connection timeout or default it to 0 (which means “never timeout”), I would like to know what the possible advantages and disadvantages are?
Why should I never close a connection?
Why should I make sure connections don’t stay open?
Thanks
Why do redis PHP clients have so many connections
I used redis as a caching system and its PECL client (this is https://github.com/nicolasff/phpredis). There’s nothing wrong with using it, but when I looked at the number of links recently, I found that the number of backend links is very high. As you can see from the picture above netstat -na | grep 6379 After the port occupancy, in fact, there are several screens, I will not paste. The question I want to ask is, is this a client bug or is it itself? If this is the case in itself, will there be any problems with this occupation, or does it have a ceiling of its own? Because I didn’t see any connection pool or other settings in its configuration or initialization parameters, I’m sure this should not be the hold state of the connection pool.I see that its connection methods are connect and pconnect What I’m using now is connect Because the reference mysql_pconnect Understanding, now the number of requests is not very large, there is no need to use connect And it should release the connection at the end of the script. Now, it seems that these connections will only be automatically disconnected at redis server after 30 seconds of overtime.I am afraid that if the number of requests is too large in the future, it will be overwhelmed in 30 seconds.
Detailed explanation of PHP using Redis long connection method
Detailed explanation of PHP using Redis long connection method
This article illustrates how PHP uses Redis long connections. Share it for your reference, as follows:
Project address of php-redis on github: https://github.com/phpredis/phpredis
pconnect Function Declaration
Where time_out indicates how many seconds the client is idle before disconnecting. Function connection returns true for success and false for failure:
pconnect(host, port, time_out, persistent_id, retry_interval) host: string. can be a host, or the path to a unix domain socket port: int, optional timeout: float, value in seconds (optional, default is 0 meaning unlimited) persistent_id: string. identity for the requested persistent connection retry_interval: int, value in milliseconds (optional)
The following example details the reuse of pconnect connections.
$redis->pconnect(‘127.0.0.1’, 6379); $redis->pconnect(‘127.0.0.1’); // Default port 6379, Use the same connection as the above example. $redis->pconnect(‘127.0.0.1’, 6379, 2.5); // Set 2.5 The expiration time of seconds. Will be a new connection different from the above $redis->pconnect(‘127.0.0.1’, 6379, 2.5, ‘x’); // Object with persistent connections set id Will be a new connection different from the one above $redis->pconnect(‘/tmp/redis.sock’); // unix domain socket – would be another connection than the four before.
Introduction to the use of pconnect
Brief description of pconnect method
Using this method to create a connection, the connection will not be closed after the close method is called, but will be closed only after the process ends.
[Pending Verification] If you are using a long connection, the timeout configuration entry in the Redis configuration file needs to be set to 0, otherwise connections in the connection pool will expire due to timeoutFor PHP-FPM, explain pconnect under 1
Long connections end only after the PHP-FPM process ends, and the life cycle of the connection is the life cycle of the PHP-FPM process.
Compared to shorter connections, one redis connection is generated during every PHP-FPM call, and the table form on the server is excessive time_out connection state.
In contrast to long connections, all CGIs called by PHP-FPM will only share one long connection, so only a fixed number of time_out will be generated.
Close long connections
You can call close and unset methods, but the two are quite different:
-The function of close is only to make the current PHP process no longer make redis requests, but it can’t really close the redis long connection, and the connection will still be reused in subsequent requests until the life cycle of FPM process ends. So close does not destroy the redis object, it just disconnects.
-The unset variable is destroyed. It should also be noted that close is not needed if pconnect is used. If the current script takes a long time to execute, it will take up 1 connection directly.
How to judge whether the current Redis is connected or not
The equivalent problem is to determine whether the current instance is valid in singleton mode.
It is customary to call echo to determine whether the string itself is returned normally, or call ping to see if the return value is + PONG.
Be careful, however, when echo and ping (return ‘+ POMG’) are called after redis is disconnected, exceptions are thrown. Therefore, it should be handled by exception catching mechanism.
Code analysis of pconnect connection reuse
Case 1: Non-singleton mode.
Description: a instance and b instance share a connection, b instance will be a instance connection modification:
Therefore, the following example causes the final $a instance to get a value of 2, which requires special attention.
$a = pconnect(host, port, time_out); select(3); $a -> setex(id, 3); echo $a -> get(id); // After that, perform the following connection $b = pconnect(host, port, time_out); select(2); $b->set(id,2) echo $a->get(id); // This id Operational db Become 2 , no longer the previous one 3 It’s over. Because these two connections share 1 Connecting channels.
Case 2: Singleton mode.
Modifying the above code, both a and b are generated through getInstance. The premise of generation is to judge whether the current instance exists. The confusion of singleton pattern lies in:
$a generates an instance, $b is generated, $b uses the instance of $a, then modifies the connection of $a, and then calling $a must be the modified instance of the called $b. With situation 21.
The code for the singleton pattern is as follows:
public static function getInstance($db = 0) { if (!isset(self::$_instance)) { self::$_instance = new Redis(); } self::_connect(); self::$_instance->select($db); return self::$_instance; }
Both cases illustrate the problem of connection reuse. How do I fix this bug? Two points:
1. Generate 1 singleton for every 1 db.
2. Avoid connection reuse issues.
So the code can be adjusted to return a singleton array:
public static function getInstance($db = 0) { try{ if (isset(self::$_instance[$db]) && self::$_instance[$db]->Ping() == ‘Pong’) { return self::$_instance[$db]; } } catch (Exception $e) { } self::$_instance[$db] = new Redis(); self::_connect($db); return self::$_instance[$db]; }
Places to pay attention to
Avoid using redis objects in Task class member variables.
In the singleton schema of redis, the expiration time of time_out is declared. If redis handles a task, and the interval between tasks calling redis is relatively long. When the interval is greater than time_out, redis will be disconnected, and all operations on redis will fail at this time. The solution is to avoid this invocation by dynamically declaring the redis class where it is called. This kind of problem is indistinguishable between long connection and short link, which belongs to the wrong way of calling.
For more readers interested in PHP related content, please check the topics on this site: “Summary of php+redis Database Programming Skills”, “Introduction to php Object-Oriented Programming”, “Introduction to PHP Basic Syntax”, “Encyclopedia of PHP Array (Array) Operation Skills”, “Summary of php String (string) Usage”, “Introduction to php+mysql Database Operation Skills” and “Summary of php Common Database Operation Skills”
I hope this paper is helpful to everyone’s PHP programming.
PHP- In-depth PHP, Redis connection
pconnect, the api used by the client to connect to the server in phpredis.
The connection will not be closed on close or end of request until the php process ends.
This is the original sentence in the api description
So here comes the question:
1. Does php process ends refer to the end of a php execution or the end of fpm? If it is the latter, it means that the redis connection will not be released even if PHP is executed once, and the redis connection will be reused the next time it is executed.
2. The connection will not be closed on close means that if pconnect is used, even if close() is called in the code, the connection will not be closed?
With these two questions in mind, let’s do an experiment and take a closer look at what pconnect does.
Ready to work
Environment:
nginx + php-fpm
php5.3
we will configure fpm as
pm.max_children = 1 pm.start_servers = 1 pm.max_spare_servers = 1
In this way, our page request will be executed by a certain fpm process to facilitate strace tracking.
The php code corresponding to the page request:
$ip = “10.136.30.144” ; $port = 7777 ; $redis = new Redis(); $redis ->pconnect( $ip , $port , 1 ); $key = “test” ; $value = “this is test” ; $redis ->set( $key , $value ); $d = $redis ->get( $key ); var_dump ( $d );
The function of the code is very simple, connect redis, first set a value, and then take it out.
Test question 1
Idea:
Use strace to observe the system call of fpm. If the life cycle of the connection is a PHP execution, then every page call will have a connect system call to connect to redis; if the life cycle of the connection is the end of fpm, then only the first One page call will have the connect system call. After the connection is reused, there is no need to connect, just send a command request.
Start a new fpm (process ID 28082).
carried out
strace -p 28082 -s 1024 -o redis_1
Record a system call for a page request. As shown below:
View Image
can see that the process first established a socket connection (file descriptor 9). Then send a series of commands to reids, and finally get the result string of “this is test”. And there is no redis command or system call related to closing the connection.
After the page request is over, we execute
lsof -n -p 28082
View Image
It can be seen that the fpm process still maintains a reids connection to 10.136.30.144, and its file descriptor is 9 (this is consistent with the result of strace).
carried out
strace -p 28082 -s 1024 -o redis_2
Record the system call of the second page request and get the following result. The difference between
View Image
and the first request is that the process of establishing a connection is omitted, and the reids command is sent directly to get the result!
Then use lsof -n -p 28082 to view the file descriptor opened by fpm, the result is the same as the above file.
Explain that the connection is indeed reused and not newly created.
Perform the sixth page request (because of our configuration in the preparation work, at this time fpm is already a new process), use lsof to view the file descriptor opened by the process.
View Image we found that although there is still a reids connection with a descriptor of 9, the temporary ports of the two tcp connections are different, that is, the connection has changed!
At this point, we have reached the conclusion of question 1:
When using pconnect, the connection will be reused, and the life cycle of the connection is the life cycle of the fpm process, not a PHP execution. .
Test question 2
For comparison, let’s take a look first. Use connect to connect to redis and call the redis->close() system call. (Change pconnect in the above code to connect, and add redis->close() at the end)
View Image
We see that in addition to establishing a connection, at the end of the program, a quit command is also sent to reids and the connection is closed File descriptor.
Next, we look at the use pconnect, redis-> close () What is the performance
code is adjusted as follows:
$ip = ” 10.136.30.144 ” ; $port = 7777 ; $redis = new Redis(); $redis ->pconnect($ip, $port, 1 ); $key = ” test ” ; $value = ” this is test ” ; $redis -> set($key, $value); $d = $redis-> get($key); var_dump($d); $redis -> close(); try { $redis -> get($key); } catch (Exception $e) { echo $e-> getMessage(); }
Let’s look directly at the system call for the second execution of the page request
View Image
did not establish a connection, but also sent the command directly to get the result. Indicates that the connection is reused. At the same time, no quit command was sent to the reids server, and no system call to close the connection.
But pay attention to the return result of the page request:
View Image
far, we have reached the conclusion of question 2:
If pconnect is used in the code, the function of close is only to make the current PHP can no longer make redis requests, but it cannot really close the redis long connection. It will still be reused in subsequent requests until the end of the fpm process life cycle.
Conclusion
1. When using pconnect, the connection will be reused. The life cycle of the connection is the life cycle of the fpm process, not a PHP execution.
2. If pconnect is used in the code, the function of close is only to prevent the current PHP from making redis requests, but it cannot really close the redis long connection. The connection will still be reused in subsequent requests until the end of the fpm process life cycle.
Transfer from: http://blog.csdn.net/qmhball/article/details/46988111
Redis client handling
Redis client handling
How the Redis server manages client connections
This document provides information about how Redis handles clients at the network layer level: connections, timeouts, buffers, and other similar topics are covered here.
The information contained in this document is only applicable to Redis version 2.6 or greater.
Accepting Client Connections
Redis accepts clients connections on the configured TCP port and on the Unix socket if enabled. When a new client connection is accepted the following operations are performed:
The client socket is put in the non-blocking state since Redis uses multiplexing and non-blocking I/O.
The TCP_NODELAY option is set in order to ensure that there are no delays to the connection.
option is set in order to ensure that there are no delays to the connection. A readable file event is created so that Redis is able to collect the client queries as soon as new data is available to read on the socket.
After the client is initialized, Redis checks if it is already at the limit configured for the number of simultaneous clients (configured using the maxclients configuration directive, see the next section of this document for further information).
When Redis can’t accept a new client connection because the maximum number of clients has been reached, it tries to send an error to the client in order to make it aware of this condition, closing the connection immediately. The error message will reach the client even if the connection is closed immediately by Redis because the new socket output buffer is usually big enough to contain the error, so the kernel will handle transmission of the error.
What Order are Client Requests Served In?
The order is determined by a combination of the client socket file descriptor number and order in which the kernel reports events, so the order should be considered as unspecified.
However, Redis does the following two things when serving clients:
It only performs a single read() system call every time there is something new to read from the client socket. This ensures that if we have multiple clients connected, and a few send queries at a high rate, other clients are not penalized and will not experience latency issues.
system call every time there is something new to read from the client socket. This ensures that if we have multiple clients connected, and a few send queries at a high rate, other clients are not penalized and will not experience latency issues. However once new data is read from a client, all the queries contained in the current buffers are processed sequentially. This improves locality and does not need iterating a second time to see if there are clients that need some processing time.
Maximum Concurrent Connected Clients
In Redis 2.4 there was a hard-coded limit for the maximum number of clients that could be handled simultaneously.
In Redis 2.6 and newer, this limit is dynamic: by default it is set to 10000 clients, unless otherwise stated by the maxclients directive in redis.conf .
However, Redis checks with the kernel what the maximum number of file descriptors that we are able to open is (the soft limit is checked). If the limit is less than the maximum number of clients we want to handle, plus 32 (that is the number of file descriptors Redis reserves for internal uses), then the maximum number of clients is updated to match the number of clients it is really able to handle under the current operating system limit.
When maxclients is set to a number greater than Redis can support, a message is logged at startup:
$ ./redis-server –maxclients 100000 [41422] 23 Jan 11:28:33.179 # Unable to set the max number of files limit to 100032 (Invalid argument), setting the max clients configuration to 10112.
When Redis is configured in order to handle a specific number of clients it is a good idea to make sure that the operating system limit for the maximum number of file descriptors per process is also set accordingly.
Under Linux these limits can be set both in the current session and as a system-wide setting with the following commands:
ulimit -Sn 100000 # This will only work if hard limit is big enough.
sysctl -w fs.file-max=100000
Output Buffer Limits
Redis needs to handle a variable-length output buffer for every client, since a command can produce a large amount of data that needs to be transferred to the client.
However it is possible that a client sends more commands producing more output to serve at a faster rate than that which Redis can send the existing output to the client. This is especially true with Pub/Sub clients in case a client is not able to process new messages fast enough.
Both conditions will cause the client output buffer to grow and consume more and more memory. For this reason by default Redis sets limits to the output buffer size for different kind of clients. When the limit is reached the client connection is closed and the event logged in the Redis log file.
There are two kind of limits Redis uses:
The hard limit is a fixed limit that when reached will make Redis close the client connection as soon as possible.
is a fixed limit that when reached will make Redis close the client connection as soon as possible. The soft limit instead is a limit that depends on the time, for instance a soft limit of 32 megabytes per 10 seconds means that if the client has an output buffer bigger than 32 megabytes for, continuously, 10 seconds, the connection gets closed.
Different kind of clients have different default limits:
Normal clients have a default limit of 0, that means, no limit at all, because most normal clients use blocking implementations sending a single command and waiting for the reply to be completely read before sending the next command, so it is always not desirable to close the connection in case of a normal client.
have a default limit of 0, that means, no limit at all, because most normal clients use blocking implementations sending a single command and waiting for the reply to be completely read before sending the next command, so it is always not desirable to close the connection in case of a normal client. Pub/Sub clients have a default hard limit of 32 megabytes and a soft limit of 8 megabytes per 60 seconds.
have a default hard limit of 32 megabytes and a soft limit of 8 megabytes per 60 seconds. Replicas have a default hard limit of 256 megabytes and a soft limit of 64 megabyte per 60 seconds.
It is possible to change the limit at runtime using the CONFIG SET command or in a permanent way using the Redis configuration file redis.conf . See the example redis.conf in the Redis distribution for more information about how to set the limit.
Query Buffer Hard Limit
Every client is also subject to a query buffer limit. This is a non-configurable hard limit that will close the connection when the client query buffer (that is the buffer we use to accumulate commands from the client) reaches 1 GB, and is actually only an extreme limit to avoid a server crash in case of client or server software bugs.
Client Eviction
Redis is built to handle a very large number of client connections. Client connections tend to consume memory, and when there are many of them, the aggregate memory consumption can be extremely high, leading to data eviction or out-of-memory errors. These cases can be mitigated to an extent using output buffer limits, but Redis allows us a more robust configuration to limit the aggregate memory used by all clients’ connections.
This mechanism is called client eviction, and it’s essentially a safety mechanism that will disconnect clients once the aggregate memory usage of all clients is above a threshold. The mechanism first attempts to disconnect clients that use the most memory. It disconnects the minimal number of clients needed to return below the maxmemory-clients threshold.
maxmemory-clients defines the maximum aggregate memory usage of all clients connected to Redis. The aggregation takes into account all the memory used by the client connections: the query buffer, the output buffer, and other intermediate buffers.
Note that replica and master connections aren’t affected by the client eviction mechanism. Therefore, such connections are never evicted.
maxmemory-clients can be set permanently in the configuration file ( redis.conf ) or via the CONFIG SET command. This setting can either be 0 (meaning no limit), a size in bytes (possibly with mb / gb suffix), or a percentage of maxmemory by using the % suffix (e.g. setting it to 10% would mean 10% of the maxmemory configuration).
The default setting is 0, meaning client eviction is turned off by default. However, for any large production deployment, it is highly recommended to configure some non-zero maxmemory-clients value. A value 5% , for example, can be a good place to start.
It is possible to flag a specific client connection to be excluded from the client eviction mechanism. This is useful for control path connections. If, for example, you have an application that monitors the server via the INFO command and alerts you in case of a problem, you might want to make sure this connection isn’t evicted. You can do so using the following command (from the relevant client’s connection):
CLIENT NO-EVICT on
And you can revert that with:
CLIENT NO-EVICT off
For more information and an example refer to the maxmemory-clients section in the default redis.conf file.
Client eviction is available from Redis 7.0.
Client Timeouts
By default recent versions of Redis don’t close the connection with the client if the client is idle for many seconds: the connection will remain open forever.
However if you don’t like this behavior, you can configure a timeout, so that if the client is idle for more than the specified number of seconds, the client connection will be closed.
You can configure this limit via redis.conf or simply using CONFIG SET timeout
. Note that the timeout only applies to normal clients and it does not apply to Pub/Sub clients, since a Pub/Sub connection is a push style connection so a client that is idle is the norm.
Even if by default connections are not subject to timeout, there are two conditions when it makes sense to set a timeout:
Mission critical applications where a bug in the client software may saturate the Redis server with idle connections, causing service disruption.
As a debugging mechanism in order to be able to connect with the server if a bug in the client software saturates the server with idle connections, making it impossible to interact with the server.
Timeouts are not to be considered very precise: Redis avoids setting timer events or running O(N) algorithms in order to check idle clients, so the check is performed incrementally from time to time. This means that it is possible that while the timeout is set to 10 seconds, the client connection will be closed, for instance, after 12 seconds if many clients are connected at the same time.
The CLIENT Command
The Redis CLIENT command allows you to inspect the state of every connected client, to kill a specific client, and to name connections. It is a very powerful debugging tool if you use Redis at scale.
CLIENT LIST is used in order to obtain a list of connected clients and their state:
redis 127.0.0.1:6379> client list addr=127.0.0.1:52555 fd=5 name= age=855 idle=0 flags=N db=0 sub=0 psub=0 multi=-1 qbuf=0 qbuf-free=32768 obl=0 oll=0 omem=0 events=r cmd=client addr=127.0.0.1:52787 fd=6 name= age=6 idle=5 flags=N db=0 sub=0 psub=0 multi=-1 qbuf=0 qbuf-free=0 obl=0 oll=0 omem=0 events=r cmd=ping
In the above example two clients are connected to the Redis server. Let’s look at what some of the data returned represents:
addr : The client address, that is, the client IP and the remote port number it used to connect with the Redis server.
: The client address, that is, the client IP and the remote port number it used to connect with the Redis server. fd : The client socket file descriptor number.
: The client socket file descriptor number. name : The client name as set by CLIENT SETNAME .
: The client name as set by . age : The number of seconds the connection existed for.
: The number of seconds the connection existed for. idle : The number of seconds the connection is idle.
: The number of seconds the connection is idle. flags : The kind of client (N means normal client, check the full list of flags).
: The kind of client (N means normal client, check the full list of flags). omem : The amount of memory used by the client for the output buffer.
: The amount of memory used by the client for the output buffer. cmd: The last executed command.
See the [ CLIENT LIST ](https://redis.io/commands/client-list) documentation for the full listing of fields and their purpose.
Once you have the list of clients, you can close a client’s connection using the CLIENT KILL command, specifying the client address as its argument.
The commands CLIENT SETNAME and CLIENT GETNAME can be used to set and get the connection name. Starting with Redis 4.0, the client name is shown in the SLOWLOG output, to help identify clients that create latency issues.
TCP keepalive
Redis Connection Pool
This is a Redis implementaion of ConnectionPool .
Connection pool is used to reduce the TCP reconnect overhead, can be used to increase the application performance.
You can use the build-in RedisPool to manage a pool of connection to database servers or remote services.
How To Close Or Reset A Pconnect Connection When Using Phpredis And Php Fpm
Tags: php , linux , apache , redis Answers: 3 | Viewed 3,616 times
Using PHPRedis and Apache PHP-FPM I’m using the pconnect() call to re-use connections – its been helpful in past to not let the number of connections creep up too high. However in the case where our primary redis node goes down – we automatically promote the slave to master and the old master becomes read-only. The pconnect() however is still holding a connection to the old maste – so set() commands begin to fail.
What we need is a way to tear down those persistent connections without killing the process. Any ideas?
키워드에 대한 정보 php redis close connection
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