System construction, technical research, vitality excitation … Promote intelligent manufacturing high quality development Tianjin ready to do so

On November 26, the Tianjin Municipal Government Information Office held a press conference of the "Regulations on Promoting Intelligent Manufacturing Development in Tianjin". The reporter learned from the meeting that the Regulations will innovate the driver as the first principle, and intelligent manufacturing and innovative capabilities are primarily focused. After the "Ordinance" introduced, the Municipal Science and Technology Bureau will implement the intelligent manufacturing technological innovation system, accelerate key core technical research, and promote cross-disciplined innovation and production research cooperation, technical integration and application and achievement transformation efforts to do three aspects.

In terms of construction of scientific and technological innovation system, the city will intelligently manufacturing as a key direction for the layout of Haihe Lab, Municipal Key Lab, Municipal Technology Innovation Center, Municipal Industrial Technology Research Institute. It has formed a modern Chinese medicine Haihe Lab. One of the research directions has intelligent modern Chinese medicine manufacturing equipment, and the synthetic biology Haihe Lab also has intelligent layout. University Science Park, which is being formed, will also transform the intelligent manufacturing technology to focus as key directions. Through the layout and improvement of innovation system, forming basic research, application technology development, and reforming industrialization. At the same time, the city is promoting the new generation of artificial intelligent innovation and development test areas in the construction, intelligent manufacturing is also one of the important tasks of the test area. By strengthening intelligent manufacturing application scene traction research and development and integrated demonstration, accelerating the promotion of Internet, big data, manual A new generation of information technology represented by intelligence is integrated with manufacturing depth.

In terms of key core technical research, the city has focused on research and development research and development, multidisciplinary research and development technology, and the integration of intelligent manufacturing technology solutions, with the application as a traction, and "unveiling" is the grounding mode. The formation and implementation mechanism of innovative scientific research projects, providing effective science and technology support for the construction of advanced manufacturing R & D bases and manufacturing.

In terms of stimulating the innovation of technological innovation, this city fully plays the status role of the technology innovation of leaders and industry leaders, focusing on intelligent manufacturing key core common technological research and development applications, actively exploring the innovative community model of industrial research cooperation, and realizing industries Chain and innovative chain depth fusion. Cultivate a batch of eagle companies, 瞪 企业 企业业 and leading companies around the key hardware, basic software, data processing, intelligent sensing, IoT, etc. The industry has accelerated intelligence, digitized, networked and green, and fully built a high level of national advanced manufacturing research and development base.

Digital Technology + Centennial Landscape and Lenovo to create a new sample of wisdom

On November 28, Lenovo Group and the Summer and Garden Scenic Sphere Strategic Cooperation Ceremony and the unveiling ceremony of the Lenovo Smart Scenic Area was held in Beijing.Lenovo Wisdom Service Cloud Platform is officially accessed into the 100-year-old Summer Palace, and the Summer Palace Visitor tour, operation management, cultural innovation, etc.The audience to the Summer Palace can enjoy higher-speed network services and HD video content, get better cultural services and digital experience.

The Wisdom Tourists officially unveiled

Wang Xin, the deputy director of the Summer Palace, the vice president of Lenovo Group, the vice president of the general manager of the China Service Division, and the vice president of Lenovo Group, China’s chief market official Wang Chuandong, etc. Attended the signing ceremony. Dai Wei said that national science and technology empowering national cultures, Lenovo will create a wisdom WITTROUSTROG Summer Palace, so that the cultural value of the Summer Palace will continue to make a lot of color in the new era. Wang Xin, Vice President of the Summer Palace, said that with Lenovo’s leading technology, the creation of smart 和 园 will enable this China’s largest royal garden museum to rejuvenate new technology imagination.

modern technology+Classical art,Create a new style of "和 联 想"

The technological innovation has a thousand miles per day, which makes the new wave of intelligent change in all walks of life, and the new era scenic spots are the same. Recently, the Tenth of Wenxiong, the Development and Reform Commission, etc., jointly issued the "Deepening" Internet Tourism "to promote the high-quality development of tourism industry, and propose to accelerate the intensive tourism scenic spots to improve tourism information infrastructure, innovate tourism public service model, and improve tourism management. Ability and other tasks. Since then, the top ten officials "5G application" Sail "action plan (2021-2023)", emphasizing the development of "5G + cultural tourism".

The Summer Palace is the world cultural heritage park, which is also facing new topics to create a wisdom. Visitors need more intelligent, more convenient to play experience, the Summer Palace of the new era, also need to be based on their own valuable cultural genes, expand the value of service value and commercial value, and strive to seek service-oriented, modern information technology The intelligent transformation of "wings".

Smart Tourist Center

Lenovo as a leading new IT product, program and service provider, built "end cloud network network network" full factor intelligent technology architecture. This cooperation, Lenovo set smart cloud platform for the Summer Palace, building a smart, humanized, comprehensive, systematic, effectiveness of the Summer Palace intelligence management and service system, and the overall project will revolve around the intelligence tourism, intelligent management and wisdom. Among them, the smart service is mainly for tourists, providing a better cultural service and digital experience with tourists who have increased year by year; smart management is mainly facing the scenic spot, providing park management optimization intelligence tools, enhancing the management efficiency and ability of scenic spots; Wisdom Text travels to industries, realizing cultural innovation and cultural relics protection, promoting all human sharab sharing of Chinese traditional culture.

National Science and Technology Employment National Culture Inheritance, Lenovo will create the wisdom Wisdom of Wisdom, let the Summer Palace, let the Summer Palace Glowing New Imagination. With Lenovo’s leading technology, the creation of smart 和 园 will make this China’s largest royal garden museum inserted with scientific and technological wings, release greater human power. The cooperation between the two sides has a demonstration significance in exploring and building a smart park scenic spot.

Beijing’s first park smart tourist service system,Refreshing the new wisdom garden new experience

Taking this cooperation as an opportunity, the Senior and Lenovo Wisdom Scenic Area officially unveiled. The first phase of the project covers the construction and upgrading of intelligent garden services and park smart management, the latest smart tourist service center, providing tourists with digital, visualization, and user-friendly services. After the new system is completed, visitors can operate large screens through the Smart Summer Palace, see the park information in real time, one screen, so on, visitors can self-service query, guidance, cultural display and other services. In the future, Lenovo will also build 5 unmanned tourists in the park to fully realize visual tourists.

Smart Tourist Service System

In terms of leading the innovation of the industry, Lenovo jointly established the first park smart tourist service system in Beijing, enhancing the satisfaction of tourists through Lenovo’s wisdom. In the past, the telephone tourist service system of the Summer Palace was a single customer service phone. Tourists often encountered the problems, and they could not solve the problem. This also brought the rising rate. The newly built smart tourist service system has intelligent, personalized obvious characteristics, such as the use of knowledge maps, intelligent matching, intelligent recommendations, etc. Ai technology, through the "Rubik’s Cube" AI robots learned from big data, not only to complete more than half of customers independently. Consultation, you can also automatically adjust the customer’s machine information and fault record according to user ID, using intelligent recommendation technology, assist engineers accurate quick answering customer problems, all issues of tourists will be accurately understood and respond in the system; emotional monitoring, natural voice The operation of the technology, etc.

Wisdom Rubik Cube Solution

In the whole process of building a smart scenic spot, Lenovo’s integrated service capabilities also showed the exhaustion, the latest system can provide more 园 园 信息 信息 应用 应用 应用 应用 应用 应用 应用 应用 应用 信息 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园 园Through smart health services, the signs of data collection and emergency call rescue linkage management; through 5G technology applications, the full-scale data transmission of 5G high-speed delay is achieved, and the future will continue in the live broadcast, cruise service, display cultural relics, etc. 5G landing application.

With a deep accumulation of 5G technology, the construction of important attractions in the construction of tourists, Delin management, etc. in the construction of tourists, and the management, display cultural relics management and other innovations; using the edge of data processing, implementing the service one The data processing of the equidistant, so that the scenic service is more intelligent; while the Lenovo Wisdom Service Cloud Platform helps easily achieve voice, text, video and other data real-time access storage and analysis, combined with the natural language understanding, semantic identification, knowledge map, etc. Artificial intelligence technology, intelligent applications are available in field applications.

From the wisdom of the Wen Dynasty to thousands of people, Lenovo is the pioneer of the thoroughness of the times, and has become a guide in the tide of intelligent transformation through endogenous externalization. Empouling the intelligence transformation of all industries, the guarantees of the traveler, government finance, etc. The big flag of the soaring, the butterfly trip to the industrial structure.

Spring Certified China Education Management Center – Spring Data Redis Frame Tutorial

8.1. File structure

This part of the reference document explains the core function provided by Spring Data Redis. It explains the concept and semantics of the key value module and the syntax of various store namespaces. For a description of the key value storage, Spring or Spring Data example, see Learning NOSQL and key value storage. This document only involves Spring Data Redis support and assumes that users are familiar with key value storage and Spring concepts.

"Redis Support" introduces the REDIS module function set.

"Redis repositories" introduced the repository support for Redis.

This document is a reference guide supported by Spring Data Redis (SDR).

9. Why use Spring Data Redis?

Spring Framework is the leading full stack Java / Jee application framework. It provides a lightweight container and a non-invasive programming model by using dependent injection, AOP and portable service abstraction.

The NOSQL storage system provides alternatives for classic RDBMS to achieve horizontal scalability and speed. In terms of implementation, key value storage represents one of the largest (the oldest) members in NOSQL space.

The Spring Data Redis (SDR) framework has eliminated the redundant tasks and template code required to store interactions through the Spring, so that the Spring application stored using the Redis key value can be easily written.

10. Redis support

One of the key value stores supported by Spring Data is REDIS. Quote Redis Project Home:

Redis is a high-level key value storage. It is similar to memcached, but the data set is not volatile, the value can be a string, just like in Memcached, but it can be a list, a collection, and an ordered collection. All of these data types can be operated by atomic operations to push / pop up elements, add / delete elements, execute differences between the server side and integrate, intersection, and collections. Redis supports different types of sorting capabilities.

Spring Data Redis provides features that easily configure and access Redis from the Spring application. It provides low and advanced abstraction with store interaction, using users to get rid of the infrastructure concerns.

10.1. Getting started

A simple way to set up a working environment is to create a Spring-based project in STS.

First, you need to set up a REDIS server that is running.

Create a Spring item in STS:

Go to the file New Spring Template Project Simple Spring Utility Project, and press if prompts appear. Then enter the item and package name, such as org.spring.redis.example. Add the following to the POM.xml file Dependencies element: org.springframework.Data Spring-data-redis 2.6.0

Change the version of Spring in pom.xml to 5.3.13

Add the following location of the Maven Spring Milestone repository to your POM.xml element, make it in the same level with your element: Spring-milestone Spring Maven Milestone repository https://repo.spring.io/libs-milestone

The repository can also be viewed here.

10.2.Redis Requirements

Spring Redis requires Redis 2.6 or higher, and Spring Data Redis integrates with Lettuce and Jedis, which two popular Redis open source Java libraries.

10.3.Redis Supports advanced views

Redis supports several components. For most tasks, advanced abstractions and support services are the best choice. Please note that you can move between layers at any time. For example, you can get a low-level connection (even this unit) to communicate directly with Redis.

10.4. Connect to REDIS

One of the primary tasks when using Redis and Spring is to connect to the storage via the IOC container. To do this, a Java connector (or binding) is required. Whether you choose a library, you only need to use a set of spring redis’s API (this is a consistent behavior in all connector):

Org.springframework.data.redis.connection package and its RedisConnection and RedisConnectionFactory with work and retrieved active connection interfaces.

10.4.1.Redisconnection and RedisConnectionFactory

Redisconnection provides the core build block for Redis communication because it processes communication with the rear end of the Redis. It also automatically converts the underlying connection library to the Spring consistent DAO exception hierarchy so that you can switch the connector without changing any code because the operation semantic remains unchanged.

For extreme cases that require this Base’s API, RedisConnection provides a GetNativeConnection that returns the original underlying object for communication.

The active RedisConnection object is through RedisConnectionFactory. In addition, the factory is acting

The PersistenceExceptionTranslator object, which means that once declare, they can make you transparent abnormal conversion. For example, you can use @Repository annotations and AOP to translate abnormally. For more information, see the Special Section in the Spring Framework document.

Depending on the underlying configuration, the plant can return to a new connection or existing connection (when using a pool or sharing this phone).

The easiest way to use A RedisconnectionFactory is configured with an appropriate connector through the IOC container and injects the USING class.

Unfortunately, all connectors are currently supporting all REDIS functions. When the method is called on the Connection API that is not supported by the underlying library,

UNSUPPORTEDOPERATIONException will throw an AN. The following summary describes the functions supported by each REDIS connector:

10.4.2. Configuring a lettuce connector

LetTUCE is a Netty-based open source connector supported by Spring Data Redis.

Org.springframework.data.redis.connection.LetTuce.

Add the following to the POM.xml file defendencies element:

IO.LetTuce

Lettuce-core

6.1.5.5.Release

The following example shows how to create a new Lettuce connection factory:

@ConfigurationClass Appconfig {@bean

Public LettuceconnectionFactory RedisconnectionFactory {Return New LettuceconnectionFactory (New RedisstandaloneConfiguration ("Server", 6379));

}

}

There are also some way-upless connection parameters that can be adjusted. By default, LettuceConnection is shared by all instances that create all instances that create the same thread secure local connection for all non-blocking and non-transactional operations. To use a dedicated connection, set the sharenativeConnection to false. If set to, LettuceConnectionFactory can also be configured to use AletTucePool for pilot blocking and transaction connection or all connections.

SharenativeConnectionFalse

Lettuce is integrated with Netty’s native transfer, allowing you to communicate with Redis using UNIX domain. Make sure that the appropriate native transfer dependency that matches your runtime environment. The following example shows how to create a lettuce connection plant / var/run/redis.sock for UNIX domain sets / var/run/redis.sock:

Public LettuceConnectionFactory RedisconnectionFactory {Return New LettuceconnectionFactory ("/ var / run / redis.sock");

}

}

Netty currently supports Epoll (Linux) and KQUEUE (BSD / MacOS) interfaces for operating system native transmission.

10.4.3. Configure JEDIS Connector

Jedis is the Spring Data Redis module passed

Org.springframework.data.redis.connection.jedis Pack Supported Community Drive.

Redis.clients

Jedis

3.7.0

The simplest form of JEDIS is as follows:

Public JedisconnectionFactory RedisconnectionFactory {Return New JedisconnectionFactory;

}

}

However, for production purposes, you may need to adjust the host or password, etc., as shown below:

@ConfigurationClass Redisconfiguration {@bean

Public JEDISCONNECTIONFAACTORY RedisconnectionFactory {

RedisstandaloneConfiguration Config=New RedisstandaloneConfiguration ("Server", 6379); Return New JedisconnectionFactory (config)

}

}

10.4.4. Write the primary server, read from a copy

Redis Main / Copy Settings – No automatic failover (for automatic failover, see: Sports) – Not only allows data to be securely stored on more nodes. It also allows you to read data from the copy by using Lettuce while writing to the primary server. You can use the setup / write policy you want to use,

LettuceClientConfiguration as shown in the following example:

@ConfigurationClass WriteTomasterReadFromReplicAnfiguration {@bean

Public LettuceConnectionFactory RedisconnectionFactory {

LettuceclientConfiguration ClientConfig=LettuceClientConfiguration.builder

.readfrom (replica_preferred)

.

RedisstandaloneConfiguration ServerConfig=New RedisstandaloneConfiguration ("Server", 6379); Return New LettuceConnectionFactory (ServerConfig, ClientConfig);

}

}

For an environment that is non-public address is reported through the info command (for example, when using AWS), please use

RedisstaticMasterRreplicaconfiguration instead RedisstandalOneConfiguration. Note that RedisstaticMasterRreplicAnfiguration does not support PUB / SUB due to the lack of PUB / SUB messages across a single server.

10.5.Redis Sentinel Support

For processing high available Redis, Spring Data Redis has supported Redis Sentinel, use

REDISSENTINELCONFIGURATION, as shown in the following example:

@Beanpublic redisconnectionFactory JedisconnectionFactory {

RedissentinelConfiguration SentinelConfig=New RedissentinelConfiguration

.master ("mymaster")

.Sentinel ("127.0.0.1", 26379)

.Sentinel ("127.0.0.1", 26380); Return New JedisconnectionFactory (SentinelConfig);

@Beanpublic redisconnectionFactory LettuceConnectionFactory {

.master ("mymaster")

.Sentinel ("127.0.0.1", 26380); Return New LettuceConnectionFactory (SentinelConfig);

}

RedissentinelConfiguration can also define PropertySource, which allows you to set the following properties:

Configuration properties

Spring.redis.sentinel.master: The name of the primary node.

Spring.redis.sentinel.nodes: comma-separated host: port pair list.

Spring.redis.sentinel.password: The password applied when using Redis Sentinel to authenticate

Sometimes, you need to interact directly with one of them. use

RedisconnectionFactory.getSentinelConnection or RedisConnection.getSentinelCommands allows you to access the first activity SENTINEL.

10.6. Processing objects via Redistemplate

Most users may use redistemplate and their corresponding packages,

Org.springframework.data.redis.core. Due to its rich function set, the template is actually the central class of the Redis module. This template provides advanced abstraction to Redis interaction. Although RedisConnection provides a low-level method for accepting and returning a binary value (Byte array), the template is responsible for serializing and connect management, using the user from handling such details.

In addition, templates provide operational views (followed in the REDIS command reference), provide a wide range of common interfaces for a specific type or a specific key (via the keybound interface), as described below:

After configuration, the template is thread safe, and can be reused across multiple instances.

Redistemplate Most Operations use Java-based serialization programs. This means that any objects written or read by the template are serialized and deserialized by Java. You can change the serialization mechanism on the template, and the Redis module provides a variety of implementations.

Org.springframework.data.redis.serializer package is used. For more information, see the serialization program. You can also set any serialization to NULL and set the EnableDefaultSerializer property to RedisTemplate and the original byte array false. Note that the template requires all keys to be non-empty. However, as long as the underlying serialization procedure accepts them, the value can be empty. Read each serialization program Javadoc for more information.

For the case where a template view is required, the view is declared as a dependency and injected into the template. The container automatically performs conversion, eliminating Opsfor [x] call, as shown in the following example:

XMLns: xsi="http://www.w3.org/2001/xmlschema-instance"

XMLns: P="http://www.springframework.org/schema/p"

XSI: SchemAlocation="http://www.springframework.org/schema/beans https://www.springframework.org/schema/beans/spring-beans.xsd">

Public class example {// incject the actual template

@Autowired

Private Redistemplate Template; // Inject The Template as ListOperations

@Resource (name="redistemplate") Private listopertens Listops; public void addlink (string userid, url url) {

Listops.leftpush (userid, url.toExternal;);

}

}

10.7. Convenient courses in string

Since the keys and values ??stored in the redis are common Java.lang.String, the Redis module provides the redisconnection and the two extended Redistemplate, respectively, StringRedisconnection (and

DEFAULTSTRINGREDISCONNECTION implementation) and StringRediStemplate’s convenient one-stop solution for intensive string operations. In addition to binding to the String key, template and connection use StringRedisserializer underlying, which means that the stored keys and values ??are human be readable (assuming to use the same encoding in Redis and your code). The following list shows an example:

Public class example {@Autowired

Private stringredistemplate redistemplate; public void addlink (string userid, url URL) {

Redistemplate.opsforList.Leship (UserID, URL.TOEXTERNALNALM);

}

}

Because of other Spring Templates, Redistemplate and StringRedistemplate let you pass the RedisCallback interface that conversation Redis. This feature allows you to completely control because it is directly with RedisConnection. Please note that callback receives the instance StringRedistemplate when using StringRedisconnectiona. The following example shows how to use the RedisCallback interface:

Public void usecallback {

Redistemplate.execute (new rediscallback {public object DOINREDIS (Redisconnection Connection) THROWS DataAccessException

Long size=connection.dbsize; // can cast to stringredisconnection if using a stringredistemplate

(Stringredisconnection) .SET ("Key", "Value");

}

});

}

10.8. Serializer

From the perspective of the framework, the data stored in the redis is only bytes. Although Redis itself supports various types, in most cases, these types refer to data storage mode, not what it represents. The user decides whether to convert the information into a string or any other object.

In Spring Data, the user (custom) type and the original data (vice versa) are converted

Org.springframework.data.redis.serializer package is processed by Redis.

This package contains two types of sequencer, as the name suggests, and they are responsible for serialization:

Based on Redisserializer.

Use the RedisElementReader and the element reader and writer RedisElementWriter.

The main difference between these variants is that the RedisSerializer is primarily byte to readers and authors use Bytebuffer.

There are many implementations available (including two of this document):

JDKSerializationRedisserializer, is used by Rediscache and Redistemplate by default.

Stringredisserializer.

However, you can support Object / XML mapping by Spring OXM.

Jackson2jsonredisserializer or GenericJackson2jsonRedisserializer is used to store data in JSON format.

Note that the storage format is not limited to the value. It can be used for keys, values, or hashes without any restrictions.

By default, rediscache and redistemplate are configured to serialize natives using Java. Java native serializes to allow running remote code caused by payloads that use vulnerable libraries and classes that are not authenticated by unauthenticated bytecodes. Manipulating inputs may result in running unwanted code during the application during the deserialization step. Therefore, sequentialization is not used in an untrusted environment. Usually, we strongly recommend that you use any other message format (for example, JSON).

If you are worried about security vulnerabilities caused by Java serialization, consider the universal serial filter mechanism for the core JVM level, which was initially developed for JDK 9, but later ported to JDK 8, 7 and 6:

Filters the incoming serialized data.

JEP 290.

OWASP: Defense sequence of untrusted data.

Hash mapping

Data can be stored using various data structures in REDIS.

Jackson2jsonredisserializer can convert an object in JSON format. Ideally, you can store JSON as a value using a normal key. You can implement more complex structured object mappings by using the Redis Hash. Spring Data Redis provides a variety of strategies that map data to hash (depending on the case):

Direct mapping, by using the Hashoperts and serialization procedures

Use the Redis repository

Use HashMapper and HashOperations

10.9.1. Hash mappier

The hash mapping device is a mapping object to AMAP and the returned converter. Hashmapper is intended to be used with Redis Hash.

There are many implementations available:

Beanutilshashmapper uses Spring’s beanUtils.

ObjectHashmapper uses an object to a hash map.

Jackson2hashMapper uses Fasterxml Jackson.

The following example shows a method of implementing a hash mapping:

Public class person {

String dimstname;

String lastname; // …} public class hashmapping {@Autowired

Hashoperts hashopertless;

Hashmapper mappper=new objecthashmapper; public void writehash (string key, persons) {

Map mappedhash=mapper.tohash (person);

Hashopertitions.putall (Key, Mappedhash);

PUBLIC PERSON LOADHASH (String Key) {

Map loadedhash=hashopertyS.entries ("key"); return (person) mapper.fromhash (loadedhash);

}

}

10.9.2.jackson2hashmapper

Jackson2hashMapper provides Redis hash mappings using FASTERXML JACKSON. Jackson2HashMapper can map top attributes to hash literal names and can choose to flatten the structure. Simple type map to simple values. Complex type (nested object, collection, mapping, etc.) is expressed as nested JSON.

Exhibit creates a separate hash entry for all nested properties and analyze complex types as simple types as much as possible.

Consider the following classes and the data structure therebetween:

Public Class Person {String Firstname; String Lastname;

Address Address; Date Date;

Localdatetime localdatetime;

}

PUBLIC CLASS Address {String City;

}

The following table shows how data in the front class is displayed in the normal mapping:

Flatization requires all attribute names that do not interfere with the JSON path. When using the exhibition, it is not supported in the mapping button or used as a property name or parentheses. The generated hash cannot map back objects.

Java.util.date and java.util.calendar are represented in milliseconds. If the JSR-310 date / Time type is on the classpath, toString seizes its form Jackson-DataType-JSR310.

10.10.Redis messaging (release / subscription)

Spring Data provides a dedicated messaging integration for Redis, which is similar to JMS integration in Spring Framework in function and naming.

Redis messaging can be roughly divided into two features:

Message release or production

Subscription or consumption of messages

This is a mode example of the generally referred to as a publish / subscription (refermstriction pub / SUB). The RedisTemplate class is used for message generation. Spring Data provides a dedicated message listener container for creating a message-driven POJO (MDP) and the RedisConnection contract for synchronous reception.

exist

Org.springframework.data.redis.connection and org.springframework.data.Redis.Listener packages provide the core features of the REDIS.

10.10.1. Publish (send message)

To publish a message, you can use low-level Redisconnection or advanced redistemplate like other operations. Two entities provide Publish to accept messages and target channels as parameters. Although RedisConnection requires raw data (byte arrays), redistemplate allows arbitrary objects to be incorporated as messages, as shown in the following example:

// send Message Through connection redisconnection con=… BYTE MSG=…

Byte channel=…

Con.Publish (MSG, CHANNEL); // Send Message Through redistemplateredistemplate template=… template.convertandsend ("Hello!", "World");

10.10.2. Subscribe (Receive Message)

At the receiving end, one or more channels can be subscribed by direct naming or using pattern matching. The latter method is very useful because it not only allows you to create multiple subscriptions using a command, but also listen to the channels that have not been created in the subscription (as long as they match the mode).

In the underlying, RedisConnection provides Subscribe and PSUBSCRIBE methods, map the Redis command separately to subscribe by channel or by mode. Note that multiple channels or patterns can be used as parameters. To change the subscription or query it is listening, RedisConnection provides the getSubscription and Issubscribed methods.

Subscription commands in Spring Data Redis are blocked. That is, call Subscribe on the connection will cause the current thread to block when the message is waiting. The thread is released only when the subscription is canceled, which occurs in another thread calling unsubscribe or PUNSUBSCRIBE on the same connection. For solutions for this issue, see "Message Listener Variating" (Back Section of this document).

As mentioned earlier, once the subscription, the connection begins waiting for the message. Only new subscriptions are allowed to modify existing subscriptions and cancel the existing subscription. The call is more than anything else Subscribe, Psubscribe, unsubscribe, or PUNSUBSCRIBE.

In order to subscribe, you need to implement the MessageListener callback. When there is a new message to arrive, callbacks are called and run the user code through the OnMessage method. This interface can not only access the actual message, but also access to the channels it receives and subscribed for matching channels (if any). This information allows the caller to distinguish various messages not only by content, but also check other details.

Message listener container

Due to its obstruction properties, low-level subscription is not attractive because it needs to connect and thread management for each listener. In order to relieve this problem, Spring Data provides

RedisMessagelistenerContainer, which completed all heavy work. If you are familiar with EJB and JMS, you should find that these concepts are familiar because it is designed to support support from Spring Framework and its message-driven POJO (MDP) as close as possible.

RedisMessagelistenerContainer acts as a message listener container. It is used to receive messages from the REDIS channel and drive the MessageListener to inject the instance. The listener container is responsible for all threads received and assigned to the listener for processing. The message listener container is an intermediary between MDP and message providers, responsible for registering receiving messages, resource acquisition, and release, exception conversion, etc. This allows you as an application developer to write (probably complex) business logic associated with the receiving message (and respond to it), and commission the model REDIS infrastructure issue to the framework.

`MessageListener` also enables` subscriptionlistener` to receive notifications when subscribe / cancel subscription confirmation. Synchronous calls are useful.

In addition, in order to minimize the application space,

RedisMessageListenerContainer allows them to share a connection and a thread even if multiple listeners do not share subscriptions. Therefore, regardless of how many listeners or channels are tracked, the cost of running remains unchanged throughout its life cycle. In addition, the container allows runtime configuration changes so that you can add or delete listeners when the application is run without restarting. In addition, the container uses an inert subscription method, and RedisConnection is only used when needed. If all listeners cancel subscription, the cleaning is automatically cleared and the thread is released.

In order to help address the asynchronous features of the message, the container needs one

Java.util.concurrent.executor (or Spring Taskexecutor) to assign a message. Depending on the load, listener’s number or runtime environment, you should change or adjust the executing program to better meet your needs. Especially in the hosted environment (eg, the application server), it is highly recommended to select a suitable tasKexecutor to take advantage of its runtime.

MessagelisteneraDapter

This MessageListeneraDapter class is the last component of Spring asynchronous support messages. In short, it allows you to disclose almost any classes to MDP (although there are some restrictions).

Consider the following interface definition:

public interface MessageDelegate {void handleMessage (String message); void handleMessage (Map message); void handleMessage (byte message); void handleMessage (Serializable message); // pass the channel / pattern as well

Void HandleMessage (Serializable Message, String Channel);

}

Note that although the interface does not expand the MessageListener interface, it can still be used as MDP by using the MessageListeneraDapter class. Also pay attention to how to use a variety of message processing methods to receive and handle different Message types according to strong types of content. In addition, the channel or pattern sent by the message can be transmitted to the method String as a second parameter of Type:

Public class defaultMessageDelegate Implements MessageDelegate {// Implementation Elided for Clarity …}

Note that the above MessageDelegate interface is implemented (the DefaultMessageDelegate class above) does not have Redis dependence. It is indeed a Pojo, we use the following configuration to make it MDP:

XMLns: xsi="http://www.w3.org/2001/xmlschema-instance"

XMLns: redis="http://www.springframework.org/schema/redis"

XSI: SchemAlocation="http://www.springframework.org/schema/beans https://www.springframework.org/schema/beans/spring-beans.xsd

Http://www.springframework.org/schema/redis https://www.springframework.org/schema/redis/spring-redis.xsd ">

The listener topic can be channel (for example, Topic="chatroom") or mode (for example, topic="* room")

The above example uses the Redis namespace to declare the message listening container and automatically register POJO as a listener. The complete bean is defined as follows:

Each time you receive a message, the adapter automatically transparently (using the configured redisserializer) low format and the conversion between the desired object type. Any abnormality caused by method calls will be captured and processed by the container (by default, exceptions will be recorded).

Farm unions want Moga FIR quashed: ‘Akali Dal workers started violence, damaged farmers’ vehicles with help of police’

A day after the Moga police lathicharged protesting farmers outside SAD chief Sukhbir Singh Badal rally venue in Moga’s new grain market and booked several, including farm union leaders, for alleged stone pelting that injured cops, farmers accused Akali workers of vandalising their vehicles with help of the police.

Farm unions held a protest march in Moga on Friday and said that a pakka morcha will be started from September 8 if the ‘false FIR’ against farmers is not cancelled.

The SKM declared that it will protest along with members of all 32 unions of Punjab outside Moga DS’s office on September 8 if the FIR filed under attempt to murder charges was not cancelled.

BKU (Ekta Ugrahan) also condemned lathicharge and demanded cancellation of the FIR. “This Moga incident has proved that there is no difference between Khattar’s BJP Govt in Haryana and Captain’s Congress government in Punjab,” said Sukhdev Singh Kokrikalan from BKU (Ekta Ugrahan).

Apart from quashing of the FIR, farmers said that they should be compensated for their loss and instead an FIR should be registered against those persons who damaged their vehicles.

At the protest march led by BKU (Krantikari) Friday at Moga’s Dana Mandi, gangster-turned-activist Lakha Sidhana, an accused in Delhi’s January 26 Red Fort violence case, also participated and addressed farmers.

The Indian Express had reported that after stone pelting and lathicharge on Thursday, Moga Police had filed an FIR against 17 farm union leaders and other activists such as Chamkaur Singh Rode (Kirti Kisan Union), Baldev Singh Zira (BKU Krantikari), Karamjit Singh (Naujawan Bharat Sabha) and others. At least 60 farmers and 7 cops were injured in the ruckus Thursday. Police claims that protesting farmers had pelted stones on cops. But according to farmers, stone pelting was allegedly started by Akali Dal and SOI (Students Organisation of India) workers. SOI is the students’ wing of Akali Dal.

In a memorandum submitted to the SSP Moga and DC, BKU (Krantikari) wrote, “As per the call given by the Samyukta Kisan Morcha (SKM), farmers from our union had gathered outside Sukhbir Badal’s rally venue to question him regarding three farm laws. Without giving us any warning, police lathicharged us in which many farmers got injured.

Not only this, but the youth workers of Akali Dal, in connivance with police, also vandalided our vehicles. Though detained protesters were released later by the police, an FIR has been registered against farm leaders and other protesters for attempt to murder which is completely unjustified.”

“The violence was started by Akali Dal workers, they started pelting stones and FIR is being registered against protesting farmers under the Congress government. Instead of booking Akali Dal workers, farmers are being booked. Is this how CM Amarinder Singh proves that he is pro-farmers,” said Baldev Singh Zira, state general secretary, BKU (Krantikari), who has been named in the FIR.

Meanwhile, Kirti Kisan Union in a statement said that if Moga Police will not cancel the ‘false FIR’ by September 8, then a massive protest march will be held outside Moga DC office.

“Our union was holding peaceful protest during Sukhbir Badal’s visit and then suddenly Akali Dal workers and hooligans from its SOI wing along with police, started pelting stones on farmers and also vandalised their vehicles.
Police also lathicharged elder farmers who also got severely injured. Police also used water cannons without any provocation in which many farmers got injured,” said Nirbhay Singh Dhudike, state president, Kirti Kisan Union.

“An indefinite protest (pakka morcha) will be started outside Moga DC office by Samyukta Kisan Morcha if this false FIR is not cancelled by September 8,” said Chamkaur Singh Rode, vice president, Kirti Kisan Union, also booked in the FIR.

Moga SSP Dhruman Nimbale said that an inquiry has been marked to SP (investigation) to probe the matter and as per videography evidence. He added that names will be added or deleted from the FIR based on the probe.

“Farm union leaders who have been booked were leading the protest and violence occurred. We will check videos once again and nominate names of violent protesters as per video evidence,” said the SSP.

Teachers’ Day 2021: Importance, history and significance of Teachers’ Day celebration in India

Teachers’ Day 2021, Teachers Day History, Significance and Importance: Dedicated to teachers and the role they play in shaping their students’ lives, every year September 5 is celebrated as Teachers’ Day. The day also commemorates the birth anniversary of scholar and Bharat Ratna recipient Dr Sarvepalli Radhakrishnan, who was born on the same day in 1888.

A revered academic, Radhakrishnan — also the first vice president and second president of independent India — was born into a Telugu family. He authored the book, The Philosophy of Rabindranath Tagore, he had a master’s degree in philosophy and played a huge role in placing Indian philosophy on the global map. He had a long academic career and taught at Chennai’s Presidency College and Calcutta University, and even served as the Vice Chancellor of Andhra Pradesh University (from 1931-1936). He also taught Eastern Religions and Ethics at Oxford from 1936, a position he held for 16 years.

Since 1962 — the year he took oath as the President of India — Teacher’s Day is celebrated on his birthday to commemorate his work, something he is believed to have considered a “proud privilege”.

Remnants of Hurricane Ida hit US Open, create chaos

Even a retractable roof at the U.S. Open was no match for the heavy rain and wind as the remnants of Hurricane Ida carried to Flushing Meadows, knocking down tree limbs and causing flooding around the tournament grounds, while forcing a match to shift from one court to another after a delay of 2 1/2 hours.

“Crazy weather,” was the way 11th-seeded Diego Schwartzman summed things up after he managed to beat 2017 runner-up Kevin Anderson 7-6 (4), 6-3, 6-4 in their interrupted contest to reach the third round as Wednesday became Thursday.

The National Weather Service office in New York declared its first-ever set of flash flood emergencies in the region, subway stations and tracks became so flooded that the Metropolitan Transportation Authority suspended all service and New York City put in place a travel ban until 5 a.m. ET Thursday for all non-emergency vehicles.

Schwartzman and Anderson originally went out to start their match at Louis Armstrong Stadium before 7:30 p.m. but did not finish until just past 1 a.m. at Arthur Ashe Stadium. Those are the only two arenas at the Billie Jean King National Tennis Center outfitted with covers that can be moved into place and allow competition to proceed when Mother Nature causes problems.Usually, anyway.

Armstrong, a 14,000-seat stadium that was updated ahead of the 2018 U.S. Open, was equipped with a naturally ventilated roof and the space purposely left between the concourse and the top allowed the rain to get blown onto the court by strong wind. So folks popped open umbrellas while sitting under the roof, and Anderson and Schwartzman were halted at 5-all in the first set while workers dried the court. Play resumed, then was stopped again early in the second set. The tournament then gave up on the idea of finishing at Armstrong and decided to move things to Ashe once the in-progress match there between Stefanos Tsitsipas and Adrian Mannarino ended.

Wednesday’s last scheduled match in Armstrong, between Angelique Kerber and Anhelina Kalinina, was postponed until Thursday. Schwartzman had no interest in that sort of scenario. “I was ready to play and I wanted to finish today, not finish tomorrow. You never know what can happen,” said Schwartzman, a 5-foot-7 Argentine who reached the semifinals at last year’s French Open and twice has been a quarterfinalist at the U.S. Open. “I was trying to push … to play tonight.”
Then, since things were running so simply and smoothly as it is, Mannarino grabbed the third set in a tiebreaker that ended just past 11 p.m. to prolong that match and, in turn, delay the continuation of Anderson vs. Schwartzman.

On top of that, Tsitsipas headed off court for a toilet break, as is his wont. Eight minutes elapsed before the fourth set could start, and Mannarino got a bunch of tennis balls so he could hit some practice serves to keep his shoulder loose. Tsitsipas returned to boos from spectators.
At least things were expedited from there. Tsitsipas rolled through a 6-0 fourth set in a mere half-hour, and Anderson and Schwartzman wasted little time getting out on Ashe.