Nodejs Upload Excel files to MySQL/PostgreSQL

https://loizenai.com/nodejs-upload-excel-files-to-database/

In the tutorial, I will introduce how to build a Nodejs/Express RestAPIs application to upload/import and download/extract data from multiple Excel files to MySQL or PostgreSQL database by:

Express is used to build Nodejs RestApis
Multer is used to upload/download Excel files
Sequelize ORM is used to manipulate data with MySQL/PostgreSQL
Exceljs is used to save data objects to Excel file
Read-excel-file is used to parse Excel file to data objects

#nodejs #excel #mysql #postgresql #express #restapi

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Multiple File Upload in Laravel 7, 6

in this post, i will show you easy steps for multiple file upload in laravel 7, 6.

As well as how to validate file type, size before uploading to database in laravel.

Laravel 7/6 Multiple File Upload

You can easily upload multiple file with validation in laravel application using the following steps:

1. Download Laravel Fresh New Setup
2. Setup Database Credentials
3. Generate Migration & Model For File
4. Make Route For File uploading
5. Create File Controller & Methods
6. Create Multiple File Blade View
7. Run Development Server

https://www.tutsmake.com/laravel-6-multiple-file-upload-with-validation-example/

#laravel multiple file upload validation #multiple file upload in laravel 7 #multiple file upload in laravel 6 #upload multiple files laravel 7 #upload multiple files in laravel 6 #upload multiple files php laravel

Nodejs Upload Excel files to MySQL/PostgreSQL

https://loizenai.com/nodejs-upload-excel-files-to-database/

In the tutorial, I will introduce how to build a Nodejs/Express RestAPIs application to upload/import and download/extract data from multiple Excel files to MySQL or PostgreSQL database by:

Express is used to build Nodejs RestApis
Multer is used to upload/download Excel files
Sequelize ORM is used to manipulate data with MySQL/PostgreSQL
Exceljs is used to save data objects to Excel file
Read-excel-file is used to parse Excel file to data objects

#nodejs #excel #mysql #postgresql #express #restapi

Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

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MySQL is the all-time number one open source database in the world, and a staple in RDBMS space. DigitalOcean is quickly building its reputation as the developers cloud by providing an affordable, flexible and easy to use cloud platform for developers to work with. MySQL on DigitalOcean is a natural fit, but what’s the best way to deploy your cloud database? In this post, we are going to compare the top two providers, DigitalOcean Managed Databases for MySQL vs. ScaleGrid MySQL hosting on DigitalOcean.

At a glance – TLDR
ScaleGrid Blog - At a glance overview - 1st pointCompare Throughput
ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads. Read now

ScaleGrid Blog - At a glance overview - 2nd pointCompare Latency
On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. Read now

ScaleGrid Blog - At a glance overview - 3rd pointCompare Pricing
ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. Read now

MySQL DigitalOcean Performance Benchmark
In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. We are going to use a common, popular plan size using the below configurations for this performance benchmark:

Comparison Overview
ScaleGridDigitalOceanInstance TypeMedium: 4 vCPUsMedium: 4 vCPUsMySQL Version8.0.208.0.20RAM8GB8GBSSD140GB115GBDeployment TypeStandaloneStandaloneRegionSF03SF03SupportIncludedBusiness-level support included with account sizes over $500/monthMonthly Price$120$120

As you can see above, ScaleGrid and DigitalOcean offer the same plan configurations across this plan size, apart from SSD where ScaleGrid provides over 20% more storage for the same price.

To ensure the most accurate results in our performance tests, we run the benchmark four times for each comparison to find the average performance across throughput and latency over read-intensive workloads, balanced workloads, and write-intensive workloads.

Throughput
In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. To quickly summarize the results, we display read-intensive, write-intensive and balanced workload averages below for 150 threads for ScaleGrid vs. DigitalOcean MySQL:

ScaleGrid MySQL vs DigitalOcean Managed Databases - Throughput Performance Graph

For the common 150 thread comparison, ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads.

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SpringBoot RestAPI Upload Excel file to MySQL/PostgreSQL - loizenai.com

https://loizenai.com/springboot-restapi-upload-import-excel-mysql/

Creating SpringBoot RestAPIs to upload/import and export/download Excel files to databases: PostgreSQL or MySQL is one of the most common question in the development world. Going through the tutorial post, I explain details “How to read data from Excel Sheet and insert into Database table in Spring Boot RestAPIs with Upload/Download Excel functions” by step to step with coding and give you 100% running source code. What we will do?

– I draw full diagram architecture of SpringBoot Upload Download Excel files service.
– I implements how to Excel File service using poi-ooxml.
– I implement SpringBoot Upload Download files RestApis.
– I use Spring JPA to interact with database MySQL.
– I implement a global exception handling to deal with a big uploading file
– I use Ajax and Bootstrap to develop frontend for uploading and downloading excel files.

https://loizenai.com/springboot-restapi-upload-import-excel-mysql/

#springboot #excel #upload #mysql #postgresql #restapi

Data Validation in Excel

Data Validation in Excel

In this tutorial, let’s discuss what data validation is and how it can be implemented in MS-Excel. Let’s start!!!

What Is Data Validation in Excel?

Data Validation is one of the features in MS-Excel which helps in maintaining the consistency of the data in the spreadsheet. It controls the type of data that can enter in the data validated cells.

Data Validation in MS Excel

Now, let’s have a look at how data validation works and how to implement it in the worksheet:

To apply data validation for the cells, then follow the steps.

1: Choose to which all cells the validation of data should work.

2: Click on the DATA tab.

3: Go to the Data Validation option.

4: Choose the drop down option in it and click on the Data Validation.

Once you click on the data validation menu from the ribbon, a box appears with the list of data validation criteria, Input message and error message.

Let’s first understand, what is an input message and error message?

Once, the user clicks the cell, the input message appears in a small box near the cell.

If the user violates the condition of that particular cell, then the error message pops up in a box in the spreadsheet.

The advantage of both the messages is that the input and as well as the error message guide the user about how to fill the cells. Both the messages are customizable also.

Let us have a look at how to set it up and how it works with a sample

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