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Date filters in Apache Superset: workarounds

https://sudonull.com/date-filters-in-apache-superset-workarounds

How to solve the default time column issue in Superset 3.x–6.x. Working technical solutions for developers: virtual datasets, extra_json, SQL parameterization.

Human-readable URL for SEO: setup on Apache and Nginx

https://sudonull.com/human-readable-url-for-seo-setup-on-apache-and-nginx

Learn to set up human-readable URLs on CMS and servers for traffic growth. .htaccess examples, Nginx, automation scripts. Improve indexing without 404 errors.

Date filters in Superset: bypassing the wrapper

https://sudonull.com/date-filters-in-superset-bypassing-the-wrapper

Setting up virtual datasets in Apache Superset with custom dates from filters. Hack with a dummy column for middle/senior dev. Full guide without filtering errors.

Flink real-time JOIN: tables 4+2 TB

https://sudonull.com/flink-real-time-join-tables-4-2-tb

Implementation of stateful JOIN on Apache Flink for real-time result updates between terabyte tables. Table API, KeyedCoProcessFunction, MapState. Code and architecture for middle/senior.

Inner join in Flink with Debezium CRUD

https://sudonull.com/inner-join-in-flink-with-debezium-crud

Implementation of real-time inner join of tables in Apache Flink with full support for create/read/update/delete from Debezium. Code, state management, limitations. For middle/senior dev.

From other projects

From the web

Distributed Database - Apache Ignite®

https://ignite.apache.org/

Apache Ignite is a top-5 project of the Apache Software Foundation that provides in-memory speed and scale across memory and disk. Learn how to use Ignite as a cache, data grid, database, key-value store, or platform for high-performance computing, Spark, Hadoop, and more.

Apache Ignite Documentation

https://ignite.apache.org/docs/ignite2/latest/index

Edit Apache Ignite Documentation Apache Ignite is a distributed database for high-performance computing with in-memory speed. The technical documentation introduces you to the key capabilities, shows how to use certain features, or how to approach cluster optimizations and issues troubleshooting.

Apache Ignite - GitHub

https://github.com/apache/ignite

Apache Ignite is a distributed database for high-performance computing with in-memory speed.

Apache Ignite - Wikipedia

https://en.wikipedia.org/wiki/Apache_Ignite

Apache Ignite is a distributed database management system for high-performance computing. Apache Ignite 's database uses RAM as the default storage and processing tier, thus, belonging to the class of in-memory computing platforms. [2]

A Guide to Apache Ignite - Baeldung

https://www.baeldung.com/apache-ignite

Jan 8, 2024 · Introduction Apache Ignite is an open source memory-centric distributed platform. We can use it as a database, a caching system or for the in-memory data processing. The platform uses memory as a storage layer, therefore has impressive performance rate. Simply put, this is one of the fastest atomic data processing platforms currently in ...

Apache Ignite

https://apache.googlesource.com/ignite/+/refs/heads/ignite-5789-1/README.md

Apache Ignite Getting Started For information on how to get started with Apache Ignite , please visit: Getting Started. Full Documentation You can find the full Apache Ignite documentation here: Full documentation. What is Apache Ignite ? Apache Ignite is a memory-centric multi-model distributed database, caching, and processing platform for transactional, analytical, and streaming workloads ...

Apache Ignite 3 - GitHub

https://github.com/apache/ignite-3

Apache Ignite 3 is a distributed database for high-performance computing. ACID TRANSACTIONS: Ignite can operate in a strongly consistent mode that provides full support for distributed ACID transactions executed at the Serializable isolation level.

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