Turbocharge your application development using WebAssembly with SingleStoreDB

• wasi-sdk

  11 1,123 7.6 Shell

  WASI-enabled WebAssembly C/C++ toolchain

  

First, we’ll download the wasi-sdk. We’ll use wasi-sdk-16.0-linux.tar.gz, the latest version available when writing this article. We’ll move the file to the /opt directory and unpack it as follows:

• wit-bindgen

  27 877 9.4 Rust

  A language binding generator for WebAssembly interface types

  

[package] name = "sentimentable" version = "0.1.0" edition = "2021" # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html [dependencies] wit-bindgen-rust = { git = "https://github.com/bytecodealliance/wit-bindgen.git", rev = "60e3c5b41e616fee239304d92128e117dd9be0a7" } vader_sentiment = { git = "https://github.com/ckw017/vader-sentiment-rust" } lazy_static = "1.4.0" [lib] crate-type = ["cdylib"]

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• pushwasm

  1 0 4.1 Rust

  Utility to push a Wasm UDF into SingleStoreDB

  

• singlestore-wasm-toolkit

  2 17 5.6 Rust

  Tools to streamline development of Wasm UDFs for SingleStoreDB.

  

The code we’ll use below for our Wasm UDF is also available on GitHub.

• vader-sentiment-rust

  1 39 10.0 Rust

  Rust port of the VADER sentiment analysis tool.

[package] name = "sentimentable" version = "0.1.0" edition = "2021" # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html [dependencies] wit-bindgen-rust = { git = "https://github.com/bytecodealliance/wit-bindgen.git", rev = "60e3c5b41e616fee239304d92128e117dd9be0a7" } vader_sentiment = { git = "https://github.com/ckw017/vader-sentiment-rust" } lazy_static = "1.4.0" [lib] crate-type = ["cdylib"]

• vaderSentiment

  20 4,179 0.0 Python

  VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

Our code uses VADER (Valence Aware Dictionary and sEntiment Reasoner). VADER is a lexicon and rule-based sentiment analysis tool that can interpret and classify emotions.

• wasm

  1 0 10.0

We’ll download a compressed file from GitHub and extract the CSV file. The CSV file contains 25,000 rows consisting of two columns:

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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