LuceneIndexer | basic Lucene usage | Search Engine library

by thesteve0 Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | LuceneIndexer Summary

LuceneIndexer is a Java library typically used in Database, Search Engine applications. LuceneIndexer has no bugs, it has no vulnerabilities and it has low support. However LuceneIndexer build file is not available. You can download it from GitHub.

Just a little project to play with creating a Lucene Index. THe follow up to this project will do spatial indexing.

Support

Quality

Security

License

Reuse

Support

LuceneIndexer has a low active ecosystem.

It has 6 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

LuceneIndexer has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LuceneIndexer is current.

Quality

LuceneIndexer has 0 bugs and 0 code smells.

Security

LuceneIndexer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

LuceneIndexer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

LuceneIndexer does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

LuceneIndexer releases are not available. You will need to build from source code and install.

LuceneIndexer has no build file. You will be need to create the build yourself to build the component from source.

LuceneIndexer saves you 626 person hours of effort in developing the same functionality from scratch.

It has 1455 lines of code, 14 functions and 7 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed LuceneIndexer and discovered the below as its top functions. This is intended to give you an instant insight into LuceneIndexer implemented functionality, and help decide if they suit your requirements.

Main entry point
Opens the index for writing
Adds a park entry to the index
Get a reader for the fileToIndex
Closes the index
Get position
Gets the name

Get all kandi verified functions for this library.

LuceneIndexer Key Features

No Key Features are available at this moment for LuceneIndexer.

LuceneIndexer Examples and Code Snippets

No Code Snippets are available at this moment for LuceneIndexer.

Community Discussions

Trending Discussions on LuceneIndexer

How to use HIGH_COMPRESSION in Lucene.Net 4.8

No transaction started in current thread error

QUESTION

How to use HIGH_COMPRESSION in Lucene.Net 4.8

Asked 2021-Jan-22 at 21:05

I'm trying to compress the index size as much as possible, Any help please? https://lucenenet.apache.org/docs/4.8.0-beta00013/api/core/Lucene.Net.Codecs.Compressing.CompressionMode.html#Lucene_Net_Codecs_Compressing_CompressionMode_HIGH_COMPRESSION

...

ANSWER

Answered 2021-Jan-22 at 21:05

The first thing to know is that there are many aspects to the "Lucene Index". When not using compound files, this manifests in the various files that are created. Just looking at two of those, we can talk about the inverted index which is called postings and we can talk about the stored documents. Of these two, there aren't any readily available tunable settings regarding the compression of the inverted index as best I can tell.

The HIGH_COMPRESSION mode relates to the stored fields. If you are not storing fields and you are only using Lucene.Net to create an inverted index then doing work to turn on high compression for stored fields won't reduce the size of the "Lucene Index".

That said, if you are storing fields and want to use high compression on that stored fields data, then you will need to create your own codec that has high compression turned on for stored fields. And to do that, you will first need a Stored fields class that has high compression turned on. Below are those two classes followed by a unit test that uses this new codec that I have written for you. I haven't tried this code on a large amount of data to see the effect, I leave that for you as an exercise, but this should point the way to getting your stored fields compressed with High Compression.

Source https://stackoverflow.com/questions/65834288

QUESTION

No transaction started in current thread error

Asked 2020-Dec-03 at 15:03

I have this code that needs to index a document:

...

ANSWER

Answered 2020-Dec-03 at 15:03

Xodus is a transactional database, so it requires a transaction to operate, for both reading and writing. LuceneDirectory requires a ContexualEnvironment to be created, use it to create transactions.

Source https://stackoverflow.com/questions/65126191

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install LuceneIndexer

You can download it from GitHub.
You can use LuceneIndexer like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the LuceneIndexer component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: