GraphQL VS Code Extension Review && Simple Schema Build

Today I checked out the GraphQL extension – “VSCode GraphQL” – for Visual Studio Code. It’s available on the Marketplace @ VSCode GraphQL and of course you can navigate to plugging in VS Code and install it just like this.

Installing the Extension
Continue reading “GraphQL VS Code Extension Review && Simple Schema Build”

Cassie Schema Migrator >> CaSMa

A few weeks back I started working on a schema migration tool for Apache Cassandra and DataStax Enterprise. Just for context, here are the short definitions of what each of the elements of CaSMa are.

  • cstar-iconApache Cassandra
    • Definition: Apache Cassandra is a free and open-source, distributed, wide column store, NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.
    • History: Avinash Lakshman, one of the authors of Amazon’s Dynamo, and Prashant Malik initially developed Cassandra at Facebook to power the Facebook inbox search feature. Facebook released Cassandra as an open-source project on Google code in July 2008. In March 2009 it became an Apache Incubator project. On February 17, 2010 it graduated to a top-level project. Facebook developers named their database after the Trojan mythological prophet Cassandra, with classical allusions to a curse on an oracle.
  • dse-logoDataStax Enterprise
    • Definition: DataStax Enterprise, or routinely just referred to as DSE, is an extended version of Apache Cassandra with multi-model capabilities around graph, search, analytics, and other features like security capabilities and a core data engine 2x speed improvement.
    • History: DataStax was formed in 2009 by Jonathan Ellis and Matt Pfeil and originally named Riptano. In 2011 Riptano changes names to DataStax. For more history check out the Wikipedia page or company page for a timeline of events.
  • command-toolsSchema Migration
    • Definition:In software engineering, schema migration (also database migration, database change management) refers to the management of incremental, reversible changes to relational database schemas. A schema migration is performed on a database whenever it is necessary to update or revert that database’s schema to some newer or older version. Migrations are generally performed programmatically by using a schema migration tool. When invoked with a specified desired schema version, the tool automates the successive application or reversal of an appropriate sequence of schema changes until it is brought to the desired state.
    • Addition reference and related materials:

iconmonstr-twitch-5Over the next dozen weeks or so as I work on this application via the DataStax Devs Twitch stream (next coding session events list) I’ll also be posting some blog posts in parallel about schema migration and my intent to expand on the notion of schema migration specifically for multi-model databases and larger scale NoSQL systems; namely Apache Cassandra and DataStax Enterprise. Here’s a shortlist for the next three episodes;

The other important pieces include the current code base on Github, the continuous integration build, and the tasks and issues.

Alright, now that all the collateral and context is listed, let’s get into at a high level what this is all about.

CaSMa’s Mission

Schema migration is a powerful tool to get a project on track and consistently deployed and development working against the core database(s). However, it’s largely entrenched in the relational database realm. This means it’s almost entirely focused on a schema with the notions of primary and foreign keys, the complexities around many to many relationships, indexes, and other errata that needs to be built consistently for a relational database. Many of those things need to be built for a distributed columnar store, key value, graph, time series, or a million other possibilities too. However, in our current data schema world, that tooling isn’t always readily available.

The mission of CaSMa is to first resolve this gap around schema migration, first and foremost for Apache Cassandra and prospectively in turn for DataStax Enterprise and then onward for other database systems. Then the mission will continue around multi-model systems that should, can, and ought to take advantage of schema migration for graph, and related schema modeling. At some point the mission will expand to include other schema, data, and state management focused around software development and data needs within that state

As progress continues I’ll publish additional posts here on the different data model concepts and nature behind various multi-model database options. These modeling options will put us in a position to work consistently, context based, and seamlessly with ongoing development efforts. In addition to all this, there will be the weekly Twitch sessions where I’ll get into coding and reviewing what coding I’ve done off camera too. Check those out on the DataStax Devs Channel.

If you’d like to get into the project and help out just ping me via Twitter @Adron or message me here.

Top 10 West Coast Confs for 2019

I’ve been putting together a list of conferences that I want to aim to attend this coming year. I made it, then thought, “somebody else could use this list probably” so here it is. If you think of any other specific conferences I ought to add and attend please leave a comment. Enjoy!

March 7-10 is SCALE Southern California Linux Expo in Pasadena, California

March 25-28 is O’Reilly Strata in San Francisco, California

April 26-28 is LinuxFest Northwest in Bellingham, Washington

June 3-5 is Monitorama in Portland, Oregon

June 10-13 is O’Reilly Velocity in San Jose, California

June 10-13 is O’Reilly Software Architecture Conference SACON in San Jose, California

July 15-18 is O’Reilly OSCON in Portland, Oregon

August 21-23 is the Open Source Summit in San Diego, California

September 9-12 is the O’Reilly Artificial Intelligence in San Jose, California

November 18-21 KubeCon 2019 in San Diego, California

Without Dates – Conferences that are really great that don’t currently have a date just yet.

Polyglot Conf in Vancouver BC

Seattle Code Camp

Microsoft Build

GDG DevFest

What others should I add that are awesome Seattle or immediate surrounding area conferences?


Behind the Scenes @ DevRel Week in Santa Clara & San Francisco

The following are some lagniappe, a little extra, about the behind the scenes adventures I’m off on when I travel or am in between coding. Ya know, coding being life and all.  😉

The first episode in this series I posted a while back on my gear I use to record the Twitch sessions and pretty much everything else. These are the story of the first half of the trip to Santa Clara and San Francisco. The rest, are still in post-production, and will be out real soon. Along with videos on a host of other adventures that will offer you good information on where the good food is, the best coding places, best meetups, and all that stuff. So subscribe on my Youtube Channel and on Twitch – the shows are coming to Youtube, and now and again I’ll pre-watch one with my Twitch audience. Cheers!

Getting in Some Code Stylings, Looking Good for the Code Dance

In every language there are opinions about how to format code. With JavaScript, the community abounds with opinions about how the code should look, how variables are declared, whether there should be semi-colons to end each statement, spaces before or after parenthesis, and more than I care to list in a simply worded paragraph like this. Recently the team at Deconstructed sat down to determine what our ongoing code style format would be and how we can enforce it.

The first thing we did was figure out what we could use for enforcement of the coding style. Milan (@milanloveless) quickly discovered node-jscs per suggestion from Adam Ulvi (@s5fs). He implemented that code as follows.

Continue reading “Getting in Some Code Stylings, Looking Good for the Code Dance”