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To integrate Spring Boot with your gRPC service using Gradle, Java, and Avro

To integrate Spring Boot with your gRPC service using Gradle , Java , and Avro , we’ll modify the setup to include Spring Boot dependencies. The goal is to run the gRPC service inside a Spring Boot application, making it easier to manage configurations, beans, and dependencies. Below is a complete guide to adding Spring Boot to your existing gRPC + Avro project. Updated Project Structure grpc-avro-user-service/ │ ├── src/ │ ├── main/ │ │ ├── avro/ │ │ │ └── user .avsc │ │ ├── java/ │ │ │ ├── proto/ │ │ │ │ └── UserService .proto │ │ │ └── com/example/userservice/ │ │ │ ├── UserServiceImpl .java │ │ │ ├── GrpcServerConfig .java │ │ │ └── Application .java ├── build .gradle .kts └── settings .gradle .kts Step 1: Update build.gradle.kts to Add Spring Boot Dependencies Here’s the updated build.gradle.kts to include Spring Boot along with gRPC and Avro : plugins { java id( "com.google.protob...
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Install and run an FTP server using Docker

To install and run an FTP server using Docker, follow these steps. We’ll use the popular stilliard/pure-ftpd image, which is a lightweight and widely used FTP server. Step 1: Install Docker Make sure Docker is installed on your machine. If it isn’t, install it using the instructions below: Ubuntu/Debian: sudo apt update sudo apt install docker.io -y Mac: Install Docker Desktop from Docker's website . Windows: Install Docker Desktop from Docker's website . Verify Docker is installed: docker --version Step 2: Pull the FTP Server Docker Image Use the stilliard/pure-ftpd image, which is a simple and effective FTP server. docker pull stilliard/ pure -ftpd Step 3: Run the FTP Server Run the FTP server container using the following command: docker run -d --name ftp-server \ - p 21 : 21 -p 30000 - 30009 : 30000 - 30009 \ - e FTP_USER_NAME=testuser \ - e FTP_USER_PASS=testpass \ - e FTP_USER_HOME= /home/testuser \ stilliard/pure-ftpd Explanation...
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Reactjs datetime range picker

To create a datetime range picker in React, you can use a library such as react-datetime-range-picker . This library provides a customizable date and time range picker component that you can easily integrate into your React application. Here's an example of how you can use it: Install the library using npm or yarn: npm install react-datetime- range -picker Import the necessary components into your React component: import React, { useState } from 'react' ; import DateTimeRangePicker from 'react-datetime-range-picker' ; Create a state to hold the selected date and time range: const [selectedRange, setSelectedRange] = useState({ startDate: null , endDate: null }); Render the DateTimeRangePicker component and handle the selection changes: ```jsx const handleRangeChange = (range) => { setSelectedRange(range); }; return ( ); ``` In the example above, the DateTimeRangePicker component is rendered with the onChange event handler and th...
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[Ubuntu] Apache2.4.x 설치

Apache2.4.x 버전부터는 APR 과 APR-util을 별로도 설치하여야 한다. 하위버전에서는 설치파일에 포함되어 있었으나 버전 업이 되면서 삭제되어 configure를 실행하면 아래와 같은 에러메시지를 발생하면서 종료된다. Configuring Apache Portable Runtime library ... Checking for APR... no Confgirue: error: APR not found. Please read the documentation http://apr.apache.org/   에서 다운받아 설치함 *APR(Apache Portable Runtime) 설치 $ wget http://mirror.sdunix.com/apache//apr/apr-1.4.6.tar.gz $ tar xvf apr-1.4.6.tar.gz ~/apr-1.4.6$ ./configure ~/apr-1.4.6$ ./make ~/apr-1.4.6$ ./sudo make install *ARP-Util 설치 $ wget http://apache.tt.co.kr//apr/apr-util-1.4.1.tar.gz $ tar xvf apr-util-1.4.1.tar.gz ~/apr-util-1.4.1$ ./configure --with-apr=/usr/local/apr ~/apr-util-1.4.1$ make ~/apr-util-1.4.1$ sudo make install Apache 재설치시 Error 발생. configure: error: pcre-config for libpcre not found.PCRE is required and available from http://pcre.org/ *PCRE(Perl Compatible Regular Expressions) 설치 $ ...
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Using the MinIO API via curl

Using the MinIO API via curl is straightforward, as MinIO is compatible with Amazon S3 API, so most commands follow a similar syntax. Here’s a guide on how to use curl with the MinIO API for some common operations like uploading, downloading, and managing objects. Prerequisites Access Key and Secret Key : Obtain your MinIO Access Key and Secret Key. MinIO Endpoint : Know your MinIO server endpoint, e.g., http://localhost:9000 . Bucket : You may need an existing bucket name, or create a new one using the commands below. Authentication Header For requests to work with MinIO, you need to include authentication in the headers. MinIO uses AWS Signature Version 4 for signing requests. Common Examples 1. List Buckets To list all buckets in your MinIO account, use: curl -X GET \ - -url "http://localhost:9000/" \ - H "Authorization: AWS <AccessKey>:<Signature>" 2. Create a Bucket To create a new bucket, use: curl -X PUT \ - -url "htt...
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리눅스의 부팅과정 (프로세스, 서비스 관리)

보통 사용되지 않는 서비스나 사용 빈도가 적은 프로세스의 경우 stop 시켜두는 것이 시스템 사용 상의 이점이 있다. 자신에게 필요 없는 프로세스를 정지 한다거나 nice 값을 조정하여 실행 시에 프로세스의 우선순위를 변화시킬 수 있다. 이렇게 시스템 상황에 따라 적절히 서비스들을 관리하려면 현재 자신의 시스템의 여러가지 상황을 알아야 하는데, 이런 경우 프로세스 및 실시간 시스템 상황을 보는 명령어인 top 을 사용할 수 있다.  top [-][d delay][q][c][S][s][i][n][b] -d delay : delay 의 시간이 경과하면 현재 스크린을 갱신한다. -q : 이 옵션을 사용하면 스크린을 계속 갱신한다. -c : command list 전체를 보여준다. 즉 욥선을 사용한 것까지 모두 보여준다. -i : idle 상태와 zombie 프로세스는 무시한다.   * 이 외의 옵션은 man 파일을 참고 top 실행 화면 1. First Line :  2:59am up 6days, 10:36,  4 users,  load average    : 현재 시간 2:59 am , 부팅된지 6days and 10시간 36분, 접속해 있는 사용자수, 평균부하 2. Second Line : 61 processes: 56 sleeping, 3 running, 1 xombie, 1 stopped 3. Third Line : CPU states: 36.4% user, 63.5% system, 0.0% nice, 0.0% idle     유저모드에서의 CPU 시간이 36.4%     시스템모드(프로세스를 위해서 커널이 사용한 CPU의 시간)에서의 CPU시간이 63.5%     0.0% nice는 nice로 nice value를 음수로 주어 우선순위를 높이는 경우에 해당하는 모드     0.0% idle(...
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Auto-populate a calendar in an MUI (Material-UI) TextField component

To auto-populate a calendar in an MUI (Material-UI) TextField component, you can make use of the MUI DatePicker component. Here's an example of how you can achieve this: First, make sure you have installed the necessary dependencies. You'll need Material-UI and its pickers library. npm install @material-ui/core @material-ui/pickers Import the required components and functions in your code: import React, { useState } from 'react' ; import TextField from '@material-ui/core/TextField' ; import { KeyboardDatePicker, MuiPickersUtilsProvider } from '@material-ui/pickers' ; import DateFnsUtils from '@date-io/date-fns' ; Create a functional component and define the state to hold the selected date value: const MyForm = () => { const [selectedDate, setSelectedDate] = useState( null ); const handleDateChange = (date) => { setSelectedDate(date); }; return ( <MuiPickersUtilsProvider utils={DateFnsUtils}>...
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MAX_POLL_RECORDS_CONFIG in Kafka

The default value of MAX_POLL_RECORDS_CONFIG in Apache Kafka is: 500 What is MAX_POLL_RECORDS_CONFIG ? The MAX_POLL_RECORDS_CONFIG configuration specifies the maximum number of records a Kafka consumer can retrieve in a single call to the poll() method. Key Details: Default Behavior : If not configured, the consumer will fetch up to 500 records per poll. This is a batch size limit and helps in controlling the volume of data processed at a time. Adjusting the Value : Smaller values (e.g., 10 ): Useful for low-latency processing or when you want to process fewer records at a time. Larger values (e.g., 1000 ): Useful for batch processing or applications designed to handle high throughput. Use Case Scenarios : High throughput: Increase the value to minimize the number of poll() calls. Low latency or real-time processing: Decrease the value to process smaller chunks faster. Example Configuration Java Configuration: Properties props = new Properties(); p...
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