You:
In postgres, we have a table which contains 100MB of data with daily updates on most of the 250K records. All other data tables combined are 400MB. If the data partition size is 1 GB, is there a danger of running out of disk space over time?
ChatGPT:
Yes, there is a potential risk of running out of disk space over time, particularly due to a combination of factors such as daily updates and the partitioning strategy.
You:
given an architecture consisting of 15 springboot applications, one of which is a springcloud gateway providing the entry point to the others. all other micro-services would not be accessible from the external network. how would you set these up using kubernetes?
ChatGPT:
To set up this architecture using Kubernetes (K8s), where you have 15 Spring Boot applications (microservices), one of which is a Spring Cloud Gateway that acts as the entry point to the others, here's a high-level approach. This setup ensures that the other services are not accessible from the external network, only the gateway service is.
You:
can you provide a kotlin method to be used within a springboot application to check the existence of a table by name?
ChatGPT:
Certainly! Below is a Kotlin method that can be used within a Spring Boot application to check the existence of a table by name. This method uses JdbcTemplate to interact with the database.
| import liquibase.integration.spring.SpringLiquibase | |
| import liquibase.database.Database | |
| import liquibase.database.DatabaseFactory | |
| import liquibase.database.AbstractJdbcDatabase | |
| import liquibase.resource.ResourceAccessor | |
| import java.sql.Connection | |
| import javax.sql.DataSource | |
| import org.springframework.context.annotation.Bean | |
| import org.springframework.context.annotation.Configuration | |
| import org.springframework.beans.factory.annotation.Value |
You:
Given a Kotlin / SpringBoot / Postgres application with a JPARepository for an Entity1. I would like to have two methods in the repository, backup(label) and restore(label). backup(label) should back up the entire table entity1 into entity1_label and restore(label) should restore the data from entity1_label back into entity1. can you provide the implementation for this?
ChatGPT:
You:
can you create a generic bash function which takes index and array as its parameters and returns the array element at index modulo the array length?
ChatGPT:
Certainly! Below is a generic Bash function that takes an index and an array as parameters and returns the array element at the index modulo the array length.
You:
is there any standard which allows me to deploy a set of java micro-services into azure using ansible?
ChatGPT:
Yes, deploying Java microservices to Azure using Ansible is a common use case and can be achieved by following certain best practices and standards. Here are some guidelines and steps to help you with the deployment:
| // URL endpoints | |
| const getUrl = 'https://example.com/api/get'; | |
| const postUrl = 'https://example.com/api/post'; | |
| // Number of requests | |
| const numberOfRequests = 1000; | |
| // Function to perform a GET request | |
| const makeGetRequest = async () => { | |
| try { |
You:
when i have the yaml config values, can't i save on java
ChatGPT:
Yes, you can leverage Spring Boot's auto-configuration capabilities with resilience4j to avoid manually creating beans for retry and circuit breaker configurations. Spring Boot automatically configures resilience4j beans based on the properties defined in your application.yml file. Here's how you can streamline your configuration:
pom.xml:
| #!/usr/bin/env bash | |
| input_file="$1" | |
| declare -A data | |
| declare -A items | |
| declare -A dates | |
| # Read the data and populate arrays | |
| while IFS=$'\t' read -r date item count; do |