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Apache Hudi is an open-source data management framework that enables high-performance and scalable data ingestion, storage, and processing. Hudi stands for “Hadoop Upserts Deletes and Incrementals” and is designed to handle large-scale data sets in distributed computing environments such as Apache Hadoop, Apache Spark, and Apache Flink. One of the main features of Apache Hudi is its support for upserts (updates and inserts), deletes, and incremental data processing. This makes it ideal for use cases where data is constantly changing and requires efficient updates and deletes. Hudi provides a mechanism to efficiently store and process the incremental changes made to the data, making it ideal for use cases such as real-time analytics, stream processing, and machine learning. Apache HUDI provides a robust and scalable data ingestion framework that can handle a variety of use cases , that make it a valuable data management tool. Here are some examples of use cases where Apache Hudi can be

 To read a file from AWS S3 using Python, you will need to use the AWS SDK for Python (Boto3). Here's an example code snippet to read a file from S3: Preview: import boto3 # Create an S3 client s3 = boto3.client( 's3' ) # Define the bucket and object key bucket_name = 'my-bucket' object_key = 'path/to/my/file.txt' # Read the file from S3 response = s3.get_object(Bucket=bucket_name, Key=object_key) file_content = response[ 'Body' ].read().decode( 'utf-8' ) # Print the file content print (file_content) In the code above, you first create an S3 client using the boto3.client method. Then you define the bucket name and object key for the file you want to read. Finally, you use the s3.get_object method to retrieve the file content from S3 and decode it to a string using UTF-8 encoding. Note that you will need to have the appropriate AWS credentials configured to access the S3 bucket. You can either set these as environment

  In order to make projects compile with the existing builds of Lombok processor, as a workaround you can use the flag -Djps.track.ap.dependencies=false which should be added to File | Settings | Build, Execution, Deployment | Compiler | Build process VM options field. This will disable collection of dependencies specified by an annotation processor when Filer methods are called

AWS Lambda is a server less compute service that lets you run code without provisioning or managing servers, creating workload-aware cluster scaling logic, maintaining event integrations, or managing runtimes. With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code as a ZIP file or container image, and Lambda automatically and precisely allocates compute execution power and runs your code based on the incoming request or event, for any scale of traffic. You can set up your code to automatically trigger from 140 AWS services or call it directly from any web or mobile app. Suppose you have written your lambda in python and trying to import you favorite packages which you have used in code then it might create problem for you. eg. like Pandas, numpy  Although Python AWS lambda give access to all BOTO3 lib resources. Below are the steps to Import your Lambda code into AWS. Step 1: Start a Cloud9 Linux inst

Problem : Caused by: java.lang.ClassNotFoundException: javax.xml.bind.JAXBException Add these dependencies into your pom file Solution : <dependency> <groupId> javax.xml.bind </groupId> <artifactId> jaxb-api </artifactId> <version> 2.3.0 </version> </dependency> <dependency> <groupId> com.sun.xml.bind </groupId> <artifactId> jaxb-impl </artifactId> <version> 2.3.0 </version> </dependency> <dependency> <groupId> org.glassfish.jaxb </groupId> <artifactId> jaxb-runtime </artifactId> <version> 2.3.0 </version> </dependency> <dependency> <groupId> javax.activation </groupId> <artifactId> activation </artifactId> <version> 1.1.1 </version> </dependency>

Problem : file upload error Resolved [org.springframework.web.HttpRequestMethodNotSupportedException: Request method 'POST' not supported] Solution: If you are using Spring MVC with Spring security then main problem was in spring security. I resolved this problem by adding ${_csrf.parameterName}=${_csrf.token}   to end of my form action HTML: 1 2 3 4 <form method= "POST" action= "/uploadExcelFile?${_csrf.parameterName}=${_csrf.token}" enctype= "multipart/form-data" > <input type= "file" name= "file" /><br/><br/> <input type= "submit" value= "Submit" /> </form>