elasticsearch
Elasticsearch
elasticsearch | Elasticsearch | |
---|---|---|
14 | 91 | |
485 | 67,789 | |
-0.2% | 0.8% | |
6.6 | 10.0 | |
5 months ago | 5 days ago | |
Shell | Java | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
elasticsearch
- Create animated map with my car travels
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How to build an availability search UI with Elasticsearch
The easiest way to get started with Elasticsearch is to use the Elastic Cloud service. You can also run Elasticsearch locally using Docker.
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Elasticsearch Cluster via Docker and Fleet Issues
hi all, installed elasticsearch cluster, and kibana, via the docker compose example found here: https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html and the cluster and Kibana are working as expected.
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Example of a 3 node production ready docker-compose for Elasticsearch?
I've started with the docker-compose example from the elastic documentation added a few things like restart on failure, but unsure what else to worry about.
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How easy is Elasticsearch to run yourself? Just set it and forget it? Or does it need continuous care and tinkering?
We have been using an ES docker image that has been pretty hands off for ~2 years. Elastic has good doc on how to do this here: https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html
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Docker demo image
That would work, but then you copy everything, along with the container itself. There is a way to just copy the data over. From the page https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html, I see that /usr/share/elasticsearch/data is where the persistent data is kept within the container.
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Tutorial for installing Elastic Search 8 on a Mac?
Just use Docker https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html
- How to implement logging in your REST service by using Elasticsearch - PART 2
- What database to use with my node server for sensor data
Elasticsearch
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Elasticsearch Version 9
You could check out their GitHub and see what is going on https://github.com/elastic/elasticsearch/issues
- One .gitignore to rule them all
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Who's hiring developer advocates? (October 2023)
Link to GitHub -->
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Do we think about vector dbs wrong?
I believe the 1024 limit has been upped in recent versions of Elasticsearch
https://github.com/elastic/elasticsearch/issues/92458
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Elasticsearch VS openobserve - a user suggested alternative
2 projects | 30 Aug 2023
- A dedicated Elasticsearch query language (ES|QL)
- Fleet datastreams: custom index templates
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Integrating Elasticsearch with Node.js Applications
Elasticsearch is written in Java and its source code is available on Github.
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Murmur3 hash plugin for nested objects?
I don't think the murmur3 hash implementation has changed since it was added as the default in version 2.0 (see the [changes](https://github.com/elastic/elasticsearch/commits/main/server/src/main/java/org/elasticsearch/cluster/routing/Murmur3HashFunction.java)). The plugin itself has seen [more changes](https://github.com/elastic/elasticsearch/commits/main/plugins/mapper-murmur3) but that's IMO because of internals and not visible changes in the calculations.
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Mongo or Mysql for 10tb of JSON documents, I'm questioning my previous choice.
Mysql is not as open source as postgres (long story). And you can see how open elasticsearch is by just having access to the bugs database https://github.com/elastic/elasticsearch/issue
What are some alternatives?
examples - Home for Elasticsearch examples available to everyone. It's a great way to get started.
OpenSearch - 🔎 Open source distributed and RESTful search engine.
docker - docker image of Monica
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
dockerfiles - Dockerfiles for the official Elastic Stack images
bleve - A modern text/numeric/geo-spatial/vector indexing library for go
instantsearch - ⚡️ Libraries for building performant and instant search experiences with Algolia. Compatible with JavaScript, TypeScript, React and Vue.
pgvector - Open-source vector similarity search for Postgres
searchkit - Search UI for Elasticsearch & Opensearch. Compatible with Algolia's Instantsearch and Autocomplete components. React & Vue support
Whoosh
Monica - Personal CRM. Remember everything about your friends, family and business relationships.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow