Cloudsviewer
  • Home
  • Google Cloud
  • AWS Amazon
  • Azure
No Result
View All Result
  • Home
  • Google Cloud
  • AWS Amazon
  • Azure
No Result
View All Result
cloudsviewer.com
No Result
View All Result
Home Google Cloud

Spatial analytics with GeoJSON in BigQuery

March 23, 2022
Spatial analytics with GeoJSON in BigQuery
Share on FacebookShare on Twitter


A simple method to inform the distinction between the 2 codecs is to verify if there’s a “FeatureCollection” JSON object within the file – then it’s GeoJSON. If there may be precisely one “Function” JSON object on every line, then it’s GeoJSON-NL.

Why geoJSON-NL as a spatial format?

GeoJSON is a good spatial file format as a result of it really works in a broad variety of purposes throughout many platforms, and is a subset of JSON. Nonetheless, the issue with GeoJSON is that each one options are saved as a “FeatureCollection” object in a big array. Parsing a big array with giant JSON strings is a efficiency bottleneck. All options saved within the array have to be loaded and parsed into reminiscence by a single CPU thread from the supply file, resulting in ETL jobs that fail attributable to out-of-memory errors. If there are points with anyone function in a FeatureCollection, the complete parse & load job could fail.

Newline-delimited geoJSON solves the issues of normal geoJSON information by storing every function on a singular line as an alternative of in an array, enabling increased efficiency and effectivity for purposes working with a considerable amount of spatial knowledge, similar to streaming IoT (instance). Options might be learn and written from a number of threads or a distributed course of, and every function might be parsed on it’s personal, reducing the reminiscence footprint and permitting extra strong schema and geometry validation.

Changing spatial knowledge to geoJSON-NL

You may convert your spatial knowledge to geoJSON-NL format utilizing quite a lot of open supply and proprietary instruments. The part under contains code examples for changing geoJSON, shapefiles, GPX, KML, and CSV information to geoJSON-NL. You need to use the code examples under utilizing the GCP Cloud Shell (best to start out), your native growth machine (Linux or MacOS based mostly), or as a GCP Cloud Perform utilizing a Node.js or Python runtime setting. 

  • jq (Set up) – a command line device for working with JSON knowledge which can be utilized to transform a geoJSON file or object to a geoJSON-NL file.



Source link

Guest

Guest

Next Post
New Azure for Operators solutions and services built for the future of telecommunications | Azure Blog and Updates

RISE with SAP on the Microsoft Cloud: A year in review | Azure Blog and Updates

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended.

4 more reasons to use Chrome’s cloud-based management

4 more reasons to use Chrome’s cloud-based management

November 10, 2022
Free Online Resources To Learn AutoML

Free Online Resources To Learn AutoML

August 21, 2020

Trending.

New – Fully Serverless Batch Computing with AWS Batch Support for AWS Fargate

Goodbye Microsoft SQL Server, Hello Babelfish

November 1, 2021
AWS Named as a Leader for the 11th Consecutive Year in 2021 Gartner Magic Quadrant for Cloud Infrastructure & Platform Services (CIPS)

AWS Named as a Leader for the 11th Consecutive Year in 2021 Gartner Magic Quadrant for Cloud Infrastructure & Platform Services (CIPS)

August 2, 2021
Complete list of Google Cloud blog links 2021

Complete list of Google Cloud blog links 2021

April 18, 2021
Five Behaviors for Digital Diffusion in EMEA

Monitoring BigQuery reservations and slot utilization with INFORMATION_SCHEMA

June 11, 2021
New capabilities in Security Command Center help manage risk

New capabilities in Security Command Center help manage risk

June 5, 2021
  • Advertise
  • Privacy & Policy

© 2022 Cloudsviewer - Cloud computing news. Quick and easy.

No Result
View All Result
  • Home

© 2022 Cloudsviewer - Cloud computing news. Quick and easy.