Table of contents
High Performance
Lucene is known for its high-performance indexing and searching capabilities, which makes it suitable for handling large volumes of data efficiently.
Scalability
Lucene can scale effectively to handle large datasets and accommodate growing data needs without significant performance degradation.
Flexible Querying
It offers a rich query language and supports complex queries, allowing developers to perform precise and advanced searches.
Open Source
Being open-source, Lucene is free to use and has a supportive community, which enhances its features through contributions and plugins.
Extensive Ecosystem
Lucene is part of a larger ecosystem with tools like Apache Solr and Elasticsearch, which provide additional functionalities and easier management.
We have collected here some useful links to help you find out if Apache Lucene is good.
Check the traffic stats of Apache Lucene on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Apache Lucene on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Apache Lucene's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Apache Lucene on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Apache Lucene on Reddit. This can help you find out how popualr the product is and what people think about it.
I have to find a few examples of relatively small programming libraries that has been rewritten/ported to C++, C# and Java. Example: Lucene (it isn't that small, but still shows what I'm looking for). Source: over 3 years ago
He is talking about impacting the search algorithm. Putting a โ+โ sounds like it is negatively impacting search quality. Source: almost 4 years ago
For example Lucene is a core project common to many search engines, lots of things built ontop of it. And there are similar libraries Https://lucene.apache.org/core/. Source: almost 4 years ago
Full-text search Elasticsearch is built on top of Apache Lucene, an open-source information retrieval software. Apache Lucene enables Elasticsearch can perform complex full-text searches using a single or combination of word phrases against its No SQL database. - Source: dev.to / about 4 years ago
If I had control of the back end I would implement a full-text engine such as Lucene. Generate the lookup table as a batch job and then perform the FTS when the request comes in. If you try to do this real-time, your search will take exponentially longer the larger the data set gets. Source: about 4 years ago
For fast searching, it usually requires indexing the files in question. There are a number of text-file indexing solutions, many of which use xapian, sphinx, or lucene/solr under the hood. Based on conditions (watching files/directories, cron jobs, new-mail triggers, etc), they'll add/remove files to the index, and you can then use a corresponding command to compose queries across that data. If it's indexed, it... Source: over 4 years ago
Honest question; why isn't this seen as a pretty simple affair (e.g. Like something quickly achievable with a Lucene instance)? To be clear, I understand that it's probably due to factors beyond what you're describing in a single sentence, so I'm asking for an explanation more than anything. Source: over 4 years ago
Apache Lucene stands as a cornerstone in the realm of search engine software, greatly appreciated for its robust open-source nature and adaptability across various applications and platforms. As a library written primarily in Java, supported by the Apache Software Foundation, Lucene is particularly favored for its full-text search capabilities, which is a critical feature in todayโs information-driven landscape. This sentiment is echoed across multiple forums and discussions in the tech community.
Luceneโs influence is often highlighted by its foundational role in more complex search systems. For instance, Elasticsearch, a popular search engine in the NoSQL database sphere, is well-known for building on Luceneโs architecture, allowing it to execute sophisticated full-text searches. This capacity makes Lucene a go-to technology not just for direct implementation but also as an underlying layer for other prominent search applications.
The versatility of Lucene is demonstrated by its implementation in various programming environments beyond its native Java. Users have noted its adaptability, having seen it ported to languages such as C++ and C#. While Lucene may not always be categorized as a small library, its structure and functionality align well with those seeking portable, scalable search solutions across different software ecosystems.
Discussions among tech enthusiasts often reflect a consensus that Lucene is a pragmatic choice for custom search engines, particularly for those dealing with large datasets. It regularly features in debates about efficient data indexing, emphasizing the importance of pre-indexing files to ensure rapid search capabilities. Tools like Solr further extend this indexing functionality and are frequently mentioned in conjunction with Lucene, underlying its role as a foundation for an expanding ecosystem of search technologies.
In terms of public opinion, Lucene is generally seen as a mature and reliable option with a solid track record in the software industry. It is valued for its efficiency in handling full-text search operations and its ability to seamlessly integrate into broader systems. While Lucene may not be the first choice for consumer-facing search capabilities (where solutions like Google's proprietary search might excel), it shines in custom and enterprise-level search tasks due to its open-source license and extensive support community.
In summary, Apache Lucene occupies a pivotal place in the open-source search engine landscape, celebrated for its robust architecture, adaptability, and significant role as the infrastructure for more complex search technologies. The ongoing discussions and interest in Lucene underscore its sustained relevance and importance in developing efficient, scalable search solutions.
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