Elasticsearch
kafka-connect-elasticsearch
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| Elasticsearch | kafka-connect-elasticsearch | |
|---|---|---|
| 91 | 1 | |
| 67,531 | 744 | |
| 1.1% | 0.5% | |
| 10.0 | 8.6 | |
| 6 days ago | 3 days ago | |
| Java | Java | |
| GNU General Public License v3.0 or later | 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
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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
kafka-connect-elasticsearch
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Vinted Search Scaling Chapter 1: Indexing
Kafka Connect is a scalable and reliable tool for streaming data between Apache Kafka and other systems. It allows to quickly define connectors that move data into and out of Kafka. Luckily for us, there is an open-source connector that sends data from Kafka topics to Elasticsearch indices.
What are some alternatives?
OpenSearch - 🔎 Open source distributed and RESTful search engine.
kafka-connect-file-pulse - 🔗 A multipurpose Kafka Connect connector that makes it easy to parse, transform and stream any file, in any format, into Apache Kafka
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
ksql - The database purpose-built for stream processing applications.
bleve - A modern text/numeric/geo-spatial/vector indexing library for go
ksql-udf-deep-learning-mqtt-iot - Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
pgvector - Open-source vector similarity search for Postgres
kafka-connect-cosmosdb - Kafka Connect connectors for Azure Cosmos DB
Whoosh
kafka-connect-transform-xml - Transformation for converting XML data to Structured data.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
kafka-connect-jdbc - Kafka Connect connector for JDBC-compatible databases