Bongani  Ngema

Bongani Ngema

1622897400

How to Run ‘npm Run Build’ on A Low Spec Server?

I believe in the world of NPM, you encounter problems that are hard to solve. Has it ever made your head spin trying to execute npm run build on your server or your local environment? For example, like getting the below error message.

Killed
npm ERR! code ELIFECYCLE
npm ERR! errno 137
npm ERR! project-nuxt@1.0.0 build: `nuxt build`
npm ERR! Exit status 137
npm ERR! 
npm ERR! Failed at the project-nuxt@1.0.0 build script.
npm ERR! This is probably not a problem with npm. There is likely additional logging output above.
npm ERR! A complete log of this run can be found in:
npm ERR!     /home/administrator/.npm/_logs/2021-04-11T08_48_48_675Z-debug.log

If yes, you are not alone. The error message “Exit status 137” refers to a situation when NPM doesn’t have enough memory to compile your code in your potato server. What npm run build does is run the script “build” in package.json which normally is a script to compile or build or run your application. So basically, it’s a RAM eater, family 😅.

In this article, I’m going to share the solution based on my experience.

What is the solution?

There is a way to overcome this issue which is to limit the maximum memory you want to use to build your package.json.

Go to package.json and see the script

....
"scripts": {
    "dev": "nuxt",
    "build": "nuxt build",
    "start": "nuxt start",
    "generate": "nuxt generate"
},
....

All you need is to specify the limitation memory at the build stage. To avoid error 137, increase memory limit amount by using the argument —-max-old-space-size. It will help to avoid a memory limit issue.

#coding #nodejs #javascript #programming

What is GEEK

Buddha Community

How to Run ‘npm Run Build’ on A Low Spec Server?
Ray  Patel

Ray Patel

1625843760

Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

  • revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
  • microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
  • Anaconda 4.2 – Anaconda is an opensource Python package

#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services

Brain  Crist

Brain Crist

1600347600

SCHEMAS in SQL Server -MS SQL Server – Zero to Hero Query Master

Introduction

This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below,

A glimpse of previous articles
Part 1

In part one, we learned the basics of data, database, database management system, and types of DBMS and SQL.

Part 2
  • We learned to create a database and maintain it using SQL statements.
  • Best practice methods were also mentioned.

#sql server #benefits of schemas #create schema in sql #database schemas #how to create schema in sql server #schemas #schemas in sql server #sql server schemas #what is schema in sql server

Chaz  Homenick

Chaz Homenick

1602725748

Why You Should Consider Low-Code Approach to Building a REST API

APIs have been around for decades – they allow different systems to talk to each other in a seamless, fast fashion – yet it’s been during the past decade that this technology has become a significant force.

So then why all the interest in APIs? We all know the usual stories – Uber, Airbnb, Apple Pay… the list goes on, and the reasons are plentiful. Today the question is, how? Perhaps you are looking to differentiate your business or want a first-mover advantage.  How can you execute quickly and at low cost/risk to try new market offerings?

An API provides several benefits to an organisation, but without a dedicated team of trained developers, it might seem like an implausible option. Developers are expensive, and it can take months to develop an API from the ground up. If you don’t fancy outsourcing or have the capability in house to build internal APIs, a low-code platform might just be the answer.

Before You Begin: Plan long-term, start small.

For a small one-page application, this might only be a day or two of talking with stakeholders and designing business logic. The purpose of this first step is to ensure that the API will cover all use cases and provides stakeholders with what they need. Refactoring an entire coding design due to missing business logic is not only frustrating for the development team but adds high cost and time to the API project.

During the planning and design stage, remember that running an API requires more infrastructure than just resources to execute endpoint logic. You need a database to store the data, an email system to send messages, storage for files, and security to handle authorisation and authentication. These services can be farmed out to cloud providers to expedite the API build process (e.g. AWS provides all these infrastructure components, but Microsoft Azure is an optional cloud provider with SendGrid as the email application.)

**Planning considerations: **An API “speaks” in JSON or XML, so the output provided to client applications should be decided. Should you choose to later create endpoints for public developer consumption, you could offer both for ease-of-use and fostering more adoption. Ensuring the API follows OpenAPI standards will encourage more adoption and attract more developers.

#api #rest-api #api-development #restful-api #low-code-platform #low-code #build-a-rest-api #low-code-approach

Bongani  Ngema

Bongani Ngema

1622897400

How to Run ‘npm Run Build’ on A Low Spec Server?

I believe in the world of NPM, you encounter problems that are hard to solve. Has it ever made your head spin trying to execute npm run build on your server or your local environment? For example, like getting the below error message.

Killed
npm ERR! code ELIFECYCLE
npm ERR! errno 137
npm ERR! project-nuxt@1.0.0 build: `nuxt build`
npm ERR! Exit status 137
npm ERR! 
npm ERR! Failed at the project-nuxt@1.0.0 build script.
npm ERR! This is probably not a problem with npm. There is likely additional logging output above.
npm ERR! A complete log of this run can be found in:
npm ERR!     /home/administrator/.npm/_logs/2021-04-11T08_48_48_675Z-debug.log

If yes, you are not alone. The error message “Exit status 137” refers to a situation when NPM doesn’t have enough memory to compile your code in your potato server. What npm run build does is run the script “build” in package.json which normally is a script to compile or build or run your application. So basically, it’s a RAM eater, family 😅.

In this article, I’m going to share the solution based on my experience.

What is the solution?

There is a way to overcome this issue which is to limit the maximum memory you want to use to build your package.json.

Go to package.json and see the script

....
"scripts": {
    "dev": "nuxt",
    "build": "nuxt build",
    "start": "nuxt start",
    "generate": "nuxt generate"
},
....

All you need is to specify the limitation memory at the build stage. To avoid error 137, increase memory limit amount by using the argument —-max-old-space-size. It will help to avoid a memory limit issue.

#coding #nodejs #javascript #programming

Michael  Hamill

Michael Hamill

1618233360

Get Started with SQL Server Machine Learning Services

We know Humans learn from their past experiences. Mean while Machines follow Instructions given by Humans. But what if Human can train Machines to learn from the past data?. In simple, this is what Machine learning is !!!. SQL Server has capabilities of Machine Learning. In this article, we will discuss about the capabilities of Machine Learning in SQL Server.

#machine learning #sql server #machine learning with sql server #ml in sql server using python #python in sql server ml #sql server machine learning services