lunr.js
ClickHouse
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lunr.js | ClickHouse | |
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14 | 208 | |
8,778 | 34,153 | |
- | 2.6% | |
0.0 | 10.0 | |
almost 2 years ago | 4 days ago | |
JavaScript | C++ | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lunr.js
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Ask HN: What's the best way to add search to my website?
If your content is mostly static, you might want to consider pre-building an index and shipping it as a whole. You could look into something like
* https://stork-search.net/ (Rust/WASM)
* tinysearch: https://github.com/tinysearch/tinysearch (Rust/WASM)
* https://lunrjs.com/ (JS, simple, stable)
* http://elasticlunr.com/ - based on the former, slightly more sophisticated tuning options
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How do people make basic AWS sites so cost effectively? How do they limit users from making their budget insane? Am I missing something?
Also search results can be pre-indexed and stored in a Json file. Just as an example. https://lunrjs.com/
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Transcripts
Would anyone be willing to help make this more accessible and clean? I have some front-end dev experience, but it would be cool to work together with people to make sure we have something that makes sense and looks nicer than what I could do myself. As for functionality, searching on GitHub directly seems to work pretty well, but it might be better to have a page and a search feature maybe using something like Lunr. I would also like to create some sort of easy "API" in case Matt wants to embed some transcripts on his website. It would be cool if it would be as easy as just adding a blank div with a special id and a data attribute with the episode number on the Squarespace page.
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Search my site?
which is open source, appears to be free, and claims that it can run in the browser
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Meilisearch v1.0 – the open-source Rust alternative to Algolia and Elasticsearch
Is there a way to run it in WASM, to get something like Lunr[1]? We prefer to do our (small-index, <2MB) search client-side for a bunch of reasons, currently using Lunr.js, but it's a bit annoying and the typeahead search is something I improvised and not really official.
[1] https://lunrjs.com/
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How can I search contents of a Secure Note?
To ensure cross-platform compatibility, Bitwarden uses Lunr.js for searching. This search engine is a bit quirky, and difficult to get used to.
- Best library to implement fuzzy search for a large database?
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Autocomplete
Slightly more js work required, but this should a more customisable solution: https://lunrjs.com/
- Self-Contained Search for Archived Static Site?
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Old World Data Explorer: now with search!
OWDX runs entirely in the browser; as such, it cannot offer cutting-edge search functionality of the sort you'd find in a search engine or an expensive piece of enterprise software. The search library I'm using — lunr.js, for anyone who's interested — does, however, offer a nice set of core functionality and a modest but handy query language.
ClickHouse
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We Built a 19 PiB Logging Platform with ClickHouse and Saved Millions
Yes, we are working on it! :) Taking some of the learnings from current experimental JSON Object datatype, we are now working on what will become the production-ready implementation. Details here: https://github.com/ClickHouse/ClickHouse/issues/54864
Variant datatype is already available as experimental in 24.1, Dynamic datatype is WIP (PR almost ready), and JSON datatype is next up. Check out the latest comment on that issue with how the Dynamic datatype will work: https://github.com/ClickHouse/ClickHouse/issues/54864#issuec...
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Build time is a collective responsibility
In our repository, I've set up a few hard limits: each translation unit cannot spend more than a certain amount of memory for compilation and a certain amount of CPU time, and the compiled binary has to be not larger than a certain size.
When these limits are reached, the CI stops working, and we have to remove the bloat: https://github.com/ClickHouse/ClickHouse/issues/61121
Although these limits are too generous as of today: for example, the maximum CPU time to compile a translation unit is set to 1000 seconds, and the memory limit is 5 GB, which is ridiculously high.
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Fair Benchmarking Considered Difficult (2018) [pdf]
I have a project dedicated to this topic: https://github.com/ClickHouse/ClickBench
It is important to explain the limitations of a benchmark, provide a methodology, and make it reproducible. It also has to be simple enough, otherwise it will not be realistic to include a large number of participants.
I'm also collecting all database benchmarks I could find: https://github.com/ClickHouse/ClickHouse/issues/22398
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How to choose the right type of database
ClickHouse: A fast open-source column-oriented database management system. ClickHouse is designed for real-time analytics on large datasets and excels in high-speed data insertion and querying, making it ideal for real-time monitoring and reporting.
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Writing UDF for Clickhouse using Golang
Today we're going to create an UDF (User-defined Function) in Golang that can be run inside Clickhouse query, this function will parse uuid v1 and return timestamp of it since Clickhouse doesn't have this function for now. Inspired from the python version with TabSeparated delimiter (since it's easiest to parse), UDF in Clickhouse will read line by line (each row is each line, and each text separated with tab is each column/cell value):
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The 2024 Web Hosting Report
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules.
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in maintaining the freshness of results. The query in the streaming database focuses on recent data, making it suitable for continuous monitoring. Using streaming databases, you can run queries like finding the top 10 sold products where the “top 10 product list” might change in real-time.
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Proton, a fast and lightweight alternative to Apache Flink
Proton is a lightweight streaming processing "add-on" for ClickHouse, and we are making these delta parts as standalone as possible. Meanwhile contributing back to the ClickHouse community can also help a lot.
Please check this PR from the proton team: https://github.com/ClickHouse/ClickHouse/pull/54870
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1 billion rows challenge in PostgreSQL and ClickHouse
curl https://clickhouse.com/ | sh
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We Executed a Critical Supply Chain Attack on PyTorch
But I continue to find garbage in some of our CI scripts.
Here is an example: https://github.com/ClickHouse/ClickHouse/pull/58794/files
The right way is to:
- always pin versions of all packages;
What are some alternatives?
flexsearch - Next-Generation full text search library for Browser and Node.js
loki - Like Prometheus, but for logs.
minisearch - Tiny and powerful JavaScript full-text search engine for browser and Node
duckdb - DuckDB is an in-process SQL OLAP Database Management System
orama - 🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!
Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
fuzzysort - Fast SublimeText-like fuzzy search for JavaScript.
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
whoosh - Pure-Python full-text search library
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
regex-benchmark - It's just a simple regex benchmark of different programming languages.
datafusion - Apache DataFusion SQL Query Engine