what reimbursement means

Reimbursement refers to the act of paying someone back for money they have spent or costs they have incurred, typically on behalf of someone else or for work-related purposes. It ensures that the person who spent the money is not financially disadvantaged.

Common Examples of Reimbursement:

  1. Work Expenses:

    • If an employee pays for business-related travel, meals, or supplies, the employer may reimburse them for those costs.

  2. Healthcare Costs:

    • Insurance companies often reimburse policyholders for medical expenses if they pay upfront and file a claim.

  3. Damages or Mistakes:

    • If someone accidentally causes damage, they might reimburse the affected party for repair costs.

Usage:

  • "The company reimbursed me for my travel expenses."
  • "Please submit the receipt for reimbursement."

It typically involves submitting proof, like a receipt or invoice, to show the expense was valid.

댓글

댓글 쓰기

이 블로그의 인기 게시물

max_active_runs of Airflow

In Apache Airflow, if you want to ensure that a new run of a DAG doesn’t start before the previous one has completed, you can use the max_active_runs parameter in the DAG definition. Setting this parameter to 1 ensures that only one instance of the DAG is running at any given time. Setting max_active_runs for a DAG Here’s an example of how to set up a DAG with max_active_runs=1 : from airflow import DAG from airflow.operators.dummy_operator import DummyOperator from datetime import datetime # Define the DAG with DAG( 'my_dag' , description= 'A sample DAG' , schedule_interval= '@daily' , # Set your schedule start_date=datetime( 2023 , 1 , 1 ), catchup= False , max_active_runs= 1 # This prevents new runs before the previous run completes ) as dag: # Define tasks start = DummyOperator(task_id= 'start' ) end = DummyOperator(task_id= 'end' ) # Define task dependencies ...
자세한 내용 보기

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...
자세한 내용 보기

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}>...
자세한 내용 보기

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...
자세한 내용 보기

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...
자세한 내용 보기

[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 $ ...
자세한 내용 보기

PySpark Dataframe from HBase

To filter data from HBase and write it back using PySpark, follow these steps: Read data from HBase into a PySpark DataFrame. Filter the DataFrame using PySpark transformations. Write the filtered DataFrame to your desired format (e.g., HBase, Parquet, CSV, etc.). Below is the complete example covering these tasks. 1. Reading, Filtering, and Writing Data Step-by-Step Code from pyspark.sql import SparkSession from pyspark.sql.functions import col # Step 1: Initialize Spark Session with HBase Configurations spark = SparkSession.builder \ .appName( "HBase-PySpark Read-Write" ) \ .config( "spark.jars" , "/path/to/hbase-client.jar,/path/to/hadoop-common.jar" ) \ .config( "spark.hadoop.hbase.zookeeper.quorum" , "localhost" ) \ .config( "spark.hadoop.hbase.zookeeper.property.clientPort" , "2181" ) \ .getOrCreate() # Step 2: Define the HBase Table Catalog hbase_table = "my_table...
자세한 내용 보기

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...
자세한 내용 보기