Comments (4)
I'm closing the issue because the problem is with the Elastic Cloud Extension UI, which is not currently able to parse version specifications like: java.version=17
.
from elastiknn.
Very interesting! In case it helps further debug, here's the code that generates the properties file: https://github.com/alexklibisz/elastiknn/blob/main/project/ElasticsearchPluginPlugin.scala#L56-L64
I don't remember exactly, but I feel like I copied the java.version bit from their own gradle plugin: https://github.com/elastic/elasticsearch/blob/main/build-tools/src/main/java/org/elasticsearch/gradle/plugin/GeneratePluginPropertiesTask.java#L98
from elastiknn.
The support engineers of Elastic admitted that it was a bug on their side. I will try to manually set the value of java.version to 1.8 and repackage the plugin, to see if I can get it to work while waiting for a fix on their side.
The version policy of Elastic Cloud is very restrictive, it only allows deploying the latest patch release of a minor branch, so I can no longer deploy 8.4.2 while waiting for a fix to the java.version
issue. Hopefully, setting java.version to 1.8 will work as a workaround.
from elastiknn.
For reference, the problem is due to an issue of the Elastic Cloud extensions UI in reading the size of the zip containing the extension. The workaround is to unzip the archive and re-zip it with the command line zip tool (tried in MacOS). So there was something that changed in the way the zip file is generated in version 8.4.2.1 that exposed this issue with Elastic Cloud.
from elastiknn.
Related Issues (20)
- Upgrade ann-benchmarks to 8.6.2 (or latest)
- Try Vectors from Project Panama for vector similarity computations HOT 1
- Plugin [.installing-18148280304972249747] is missing a descriptor properties file HOT 1
- Run benchmarks in Github Actions on a standalone EC2 instance HOT 1
- Try vectors from Project Panama for LSH operations HOT 3
- can't create a mapping HOT 1
- Try quick select algorithm for KthGreatest implementation HOT 4
- Try resampling vectors to speed up L2LshModel
- Try getting rid of HashAndFreq to minimize allocations HOT 1
- Try re-using threadlocal arrays in ArrayHitCounter HOT 2
- Try caching the query vector's FloatVector segments when computing distance HOT 2
- Get Fashion Mnist 96% recall up to 200 queries/second HOT 2
- Try using a byte array in ArrayHitCounter instead of a short array
- Try Lucene VectorUtil instead/alongside PanamaFloatVectorOps HOT 1
- Try index sorting to reduce number of shards/segments accessed HOT 2
- Kibana does not show the data of elastiknn_sparse_bool_vector HOT 1
- Q&A: Scale effects HOT 2
- Support range queries (neighbors within some distance) HOT 1
- Try using Lucene IntIntHashMap to speedup and reduce memory usage of top-K counting
- Hope to support version 7.17.20, later 7.17.x can be downloaded HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from elastiknn.