fastquery | FastQuery 基于Java语言 | SQL Database library

 by   xixifeng Java Version: 1.0.134 License: Apache-2.0

kandi X-RAY | fastquery Summary

kandi X-RAY | fastquery Summary

fastquery is a Java library typically used in Database, SQL Database, Oracle applications. fastquery has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.

fastquery
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            kandi-support Support

              fastquery has a low active ecosystem.
              It has 62 star(s) with 17 fork(s). There are 4 watchers for this library.
              There were 3 major release(s) in the last 12 months.
              fastquery has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of fastquery is 1.0.134

            kandi-Quality Quality

              fastquery has no bugs reported.

            kandi-Security Security

              fastquery has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              fastquery is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fastquery releases are not available. You will need to build from source code and install.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fastquery and discovered the below as its top functions. This is intended to give you an instant insight into fastquery implemented functionality, and help decide if they suit your requirements.
            • Filter the error messages
            • Checks if class has default constructor
            • Test if string is ignore case ignore case
            • Checks if the type is map
            • Filter parameters
            • Check expression spec
            • Check smiles
            • Filter SQL
            • Get SQL
            • Filter part
            • Filter out fastQuery configuration
            • Filter set
            • Filter the page
            • Filter a page
            • Filters the parameters based on the method
            • Do not count
            • Filter out annotations
            • Get resource input stream
            • Filter data source
            • Parses SQL
            • Get all classes under a package
            • Filter query elements
            • PostProcessDefinitionRegistry
            • Filter methods
            • Filter before
            • Filter out parameters
            Get all kandi verified functions for this library.

            fastquery Key Features

            No Key Features are available at this moment for fastquery.

            fastquery Examples and Code Snippets

            FastQuery 数据持久层框架,@QueryByNamed命名式查询
            Javadot img1Lines of Code : 96dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            
            
            	
            		select id,name,age from UserInfo
            	
            
            	
            		
            			## :id 最终会替换成 ?
            			## ${id} 不会替换还成"?",引用的是参数源值
            			select id,name,age from UserInfo where id = :id
            		
            	
            
            	
            		
            			select id,name,age from UserInfo where 1 #{#condition}
            		
            
            		
            			
            			   
            				#if(${name}  
            FastQuery 数据持久层框架,QueryRepository的内置方法
            Javadot img2Lines of Code : 58dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            public class UserInfo {
            	@Id
            	private Integer id;
            	private String name;
            	private Integer age;
            	// getter /setter 省略...	
            }
            
            public interface StudentDBService extends QueryRepository {
               ... ...
            }
            
            UserInfo u1 = new UserInfo(36,"Dick", 23);
            
            // 保存实体
            s  
            FastQuery 数据持久层框架,分页,使用分页
            Javadot img3Lines of Code : 49dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            int p = 1;    // 指定访问的是第几页(不是从0开始计数)
            int size = 3; // 设定每一页最多显示几条记录
            Integer age=10,id = 50;
            Pageable pageable = new PageableImpl(p, size);
            Page page  = userInfoDBService.findSome(age, id,pageable);
            List userInfos = page.getContent(); // 获取这页的数据
            Slice  

            Community Discussions

            QUESTION

            Most efficient way to update Dataframe with JSON array from WebService
            Asked 2018-Nov-08 at 05:33

            I have a code column which I would like to pass to a web service and update two fields in the dataframe (dfMRD1['Cache_Ticker']and dfMRD1['Cache_Product'] with two values from the returned JSON (RbcSecurityDescription and RbcSecurityType1). I have achieved this by iteration but I'd like to know if there is a more efficient way to do it?

            ...

            ANSWER

            Answered 2018-Nov-08 at 05:33

            The most time-consuming part of your code is likely to be in making synchronous requests. Instead, you could leverage requests-futures to make asynchronous requests, construct the columns as lists of results and assign back to the DF. We have nothing to test with but the approach would look like this:

            Source https://stackoverflow.com/questions/53201781

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install fastquery

            You can download it from GitHub, Maven.
            You can use fastquery like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the fastquery component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/xixifeng/fastquery.git

          • CLI

            gh repo clone xixifeng/fastquery

          • sshUrl

            git@github.com:xixifeng/fastquery.git

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