BigQuery RegExp for Matching Single Emoji

If anyone needs a regular expression for matching single Emoji in BigQuery/RE2, this is a good place to start:

(?:[\x{1F300}-\x{1F5FF}]|[\x{1F900}-\x{1F9FF}]|[\x{1F600}-\x{1F64F}]|[\x{1F680}-\x{1F6FF}]|[\x{2600}-\x{26FF}]\x{FE0F}?|[\x{2700}-\x{27BF}]\x{FE0F}?|\x{24C2}\x{FE0F}?|[\x{1F1E6}-\x{1F1FF}]{1,2}|[\x{1F170}\x{1F171}\x{1F17E}\x{1F17F}\x{1F18E}\x{1F191}-\x{1F19A}]\x{FE0F}?|[\\x{0023}\x{002A}\x{0030}-\x{0039}]\x{FE0F}?\x{20E3}|[\x{2194}-\x{2199}\x{21A9}-\x{21AA}]\x{FE0F}?|[\x{2B05}-\x{2B07}\x{2B1B}\x{2B1C}\x{2B50}\x{2B55}]\x{FE0F}?|[\x{2934}\x{2935}]\x{FE0F}?|[\x{3297}\x{3299}]\x{FE0F}?|[\x{1F201}\x{1F202}\x{1F21A}\x{1F22F}\x{1F232}\x{1F23A}\x{1F250}\x{1F251}]\x{FE0F}?|[\x{203C}-\x{2049}]\x{FE0F}?|[\x{00A9}-\x{00AE}]\x{FE0F}?|[\x{2122}\x{2139}]\x{FE0F}?|\x{1F004}\x{FE0F}?|\x{1F0CF}\x{FE0F}?|[\x{231A}\x{231B}\x{2328}\x{23CF}\x{23E9}\x{23F3}\x{23F8}\x{23FA}]\x{FE0F}?)

Inspired by zly394/EmojiRegex on GitHub.

Community-Managed AWS Lambda Base Images for Java 18

I’ve added a new custom base image for Java 18 on Lambda to complement the community Java 17 base images already available. You can find the images on the ECR Public Gallery and DockerHub and the source code on GitHub. If you’ve been waiting to adopt Java 18 until there was Lambda support, then these base images will let you get started.

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Community-Managed AWS Lambda Base Images for Java 17

I’m (finally) upgrading several projects to Java 17, the current LTS version. I like to deploy my Lambda functions as container images because it keeps the devops simple — everything is a container! — but there still isn’t an officially-supported base image Java 17, even though it’s been out for almost a year. So I made one and released it to the community. You can find the images on ECR Public Gallery and DockerHub, and the source code is on GitHub. If you’ve been waiting to adopt Java 17 until there was Lambda support, then these base images will let you get started.

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Litecene: Full-Text Search for Google BigQuery

I just released the first beta version of litecene, a Java library that implements a common boolean search syntax for full-text search, with its first transpiler for BigQuery.

Litecene makes Searching Text in BigQuery Easy!

Litecene Syntax

Litecene uses a simple, user-friendly syntax that is derived from Lucene query syntax that should be familiar to most users. It includes clauses for term with wildcard, phrase with proximity, AND, OR, NOT, and grouping.

As an example, this might be a good Litecene query to identify social media posts talking about common ways people user their smartphones:

(smartphone OR "smart phone" OR iphone OR "apple phone" OR android OR "google phone" OR "windows phone" OR "phone app"~8) AND (call* OR dial* OR app OR surf* OR brows* OR camera* OR pic* OR selfie)

The syntax is documented in more detail here.

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