How to Download & Update Waves Blockchain History Data into PostgreSQL

Waves blockchain — PostgreSQL sync scripts

A set of scripts to download and update Waves blockchain history data into a PostgreSQL 11.x database.

Usage

  1. Clone the repository, install dependencies.
npm install

2.   Create config.yml file in the project, using config.example.yml for reference.

3.   In PostgreSQL, create empty database.

4.   Set environment variable MIGRATE to true (or just run crawler like this: MIGRATE=true npm run ...), it will apply initial and all additional migrations to yours database.

5.   ⬇️ To download a range of blocks to database:

npm run download {start} {end},
# for example
npm run download 1 100000

Blocks from the range get inserted in a single transaction, so either all get inserted, or none. In our experience ranges of 10000—100000 work best.

6.   🔄 To keep your database up-to-date:

npm run updateComposite

This is a continuous script, so you may want to run it in the background. We recommend using some kind of process manager (e.g. pm2) to restart the process on crash.

Migrations

  1. Create migration:
./node_modules/.bin/knex --migrations-directory migrations migrate:make $MIGRATION_NAME

2.   Migrate latest:

./node_modules/.bin/knex migrate:latest --client postgresql --connection postgresql://$PGUSER:$PGPASSWORD@$PGHOST:$PGPORT/$PGDATABASE --migrations-directory migrations
# OR
npm run migrate -- --connection postgresql://$PGUSER:$PGPASSWORD@$PGHOST:$PGPORT/$PGDATABASE

Download Details:
Author: wavesplatform
Source Code: https://github.com/wavesplatform/blockchain-postgres-sync
License:

#waves #postgresql #database  #blockchain  #smartcontract 

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How to Download & Update Waves Blockchain History Data into PostgreSQL
 iOS App Dev

iOS App Dev

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

How to Download & Update Waves Blockchain History Data into PostgreSQL

Waves blockchain — PostgreSQL sync scripts

A set of scripts to download and update Waves blockchain history data into a PostgreSQL 11.x database.

Usage

  1. Clone the repository, install dependencies.
npm install

2.   Create config.yml file in the project, using config.example.yml for reference.

3.   In PostgreSQL, create empty database.

4.   Set environment variable MIGRATE to true (or just run crawler like this: MIGRATE=true npm run ...), it will apply initial and all additional migrations to yours database.

5.   ⬇️ To download a range of blocks to database:

npm run download {start} {end},
# for example
npm run download 1 100000

Blocks from the range get inserted in a single transaction, so either all get inserted, or none. In our experience ranges of 10000—100000 work best.

6.   🔄 To keep your database up-to-date:

npm run updateComposite

This is a continuous script, so you may want to run it in the background. We recommend using some kind of process manager (e.g. pm2) to restart the process on crash.

Migrations

  1. Create migration:
./node_modules/.bin/knex --migrations-directory migrations migrate:make $MIGRATION_NAME

2.   Migrate latest:

./node_modules/.bin/knex migrate:latest --client postgresql --connection postgresql://$PGUSER:$PGPASSWORD@$PGHOST:$PGPORT/$PGDATABASE --migrations-directory migrations
# OR
npm run migrate -- --connection postgresql://$PGUSER:$PGPASSWORD@$PGHOST:$PGPORT/$PGDATABASE

Download Details:
Author: wavesplatform
Source Code: https://github.com/wavesplatform/blockchain-postgres-sync
License:

#waves #postgresql #database  #blockchain  #smartcontract 

Gerhard  Brink

Gerhard Brink

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Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management

I am Developer

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PHP Code for Update Data in MySQL Database - Tuts Make

php code for updating data in mysql database. Here, i will show you how to fetch and update data from mysql in php.

PHP Code for retrieve and update data form mysql database

  1. Step 1 - Connect to MySQL database
  2. Step 2 - Fetch data from the database
  3. Step 3 - Update data from database

https://www.tutsmake.com/php-code-for-update-data-in-mysql-database/

#how to edit data in php using form #how to update data in php using form mysqli #how to fetch and update data from database in php #php code for updating data in mysql database #php #update

Cyrus  Kreiger

Cyrus Kreiger

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How Has COVID-19 Impacted Data Science?

The COVID-19 pandemic disrupted supply chains and brought economies around the world to a standstill. In turn, businesses need access to accurate, timely data more than ever before. As a result, the demand for data analytics is skyrocketing as businesses try to navigate an uncertain future. However, the sudden surge in demand comes with its own set of challenges.

Here is how the COVID-19 pandemic is affecting the data industry and how enterprises can prepare for the data challenges to come in 2021 and beyond.

#big data #data #data analysis #data security #data integration #etl #data warehouse #data breach #elt