apache lucene solr

it is the Windows operating system, the recommended disk storage mode. In this mode, there is a lot of disk IO, so index creation and retrieval is heavily dependent on disk performance.Niofsdirectory uses the NiO method to read and write indexes. This condition is even more spoof, before it first judges windows. means that under Windows it thinks this is not optimal. Main reason: There is a bug in Java NiO under Windows.Ramdirectory This method of memory storage is not reflected in this way. I

Today, suddenly think of a problem, feel directly from SOLR start writing, if there is no lucene knowledge background, see the subsequent chapters are still more difficult, so from the next blog post, I may start from Lucene, as long as there is a Java foundation, to deal with Lucene is no problem, laugh ~Notice of rep

One: Functional backgroundIn the near future to do a highlight of the search needs, has also been done. So there's no difficulty. Just the original used is Lucene, now to be replaced with SOLR, in the lucene4.x, the scattered fairy in the past in the article also analyzed how to achieve highlighting in the search, there are mainly three ways. For more details, please refer to the previous 2 articles of the

One: Functional background Recently to do a highlight of the search needs, has been done before, so there is no difficulty, but the original use is Lucene, now to be replaced SOLR, In the lucene4.x, scattered in the previous article also analyzed how to achieve highlighting in the search, there are three ways, the specific content, please refer to the previous 2 articles:First: How to achieve highlighting i

How to integrate Apache Pig with Apache Lucene Before the beginning of this article, let's simply review Pig's history: 1. What is Pig? Pig was originally a Hadoop-based parallel processing architecture of Yahoo. Later, Yahoo donated Pig to a project of Apache (an open-source software Organization), which is maintained

Lucene is a subproject of the Apache Software Foundation 4 Jakarta Project group, an open source full-Text Search engine toolkit, which is not a full-text search engine, but a full-text search engine architecture that provides a complete query engine and index engine. Part of the text analysis engine (English and German two Western languages). Lucene's goal is to provide software developers with an easy-to-

SOLR has a thick package outside lucene, mainly to simplify two development and provide some proven solutions.Lucene is a full-text search that matches the field of the document in the index, returns the document, and gets the result set of the query.Lucene is more like an SDK. There is a complete API family and the corresponding implementation. You can use these to implement advanced queries in your own ap

First, queryVisit our SOLR admin's action page: By clicking Execute Query, you can query the following results: Second, deleteCreating a Query object for the information to be searched, Lucene generates the final query syntax based on the query object, similar to the relational database SQL syntax. Lucene also has its own query syntax, for example: "Name:lucene

Introduction Speaking of Apache Lucene, I am afraid I don't know much about Apache SOLR. Let's take a look at the description of Apache SOLR: SOLR is an enterprise-level Search Server B

by Shay Anderson on October 2013Knowledge Base/Linux/How-to- Install Apache SOLR 4.5 on CentOS 6.4 In this tutorial I explain how to install the Apache SOLR 4.5 on CentOS 6.4. The examples below I am using the root user, if you is not your would need to prepend some of the examples with sudo .Install JavaTo start thing

/document/query items A variety of programming jacks seem cumbersome and can be used without, so we can simplify the calculation of lucence formula Score (Q,D) = Coord (q,d) · ∑ (TF (T in D) IDF (T) 2) Conclusion TF-IDF algorithm is based on the term, the term is the smallest word breaker, which shows that the word segmentation algorithm is very important to the ranking based on statistics, if you use Chinese word segmentation, then will lose all the semantic relevanc

(', ') as(lbl:chararray,desc:Chararray,score:int);; --Build the index and store it on HDFS, noting the need to configure a simple Lucene index (storage?). Is it indexed? ） Store A into '/tmp/data/20150303/luceneindex ' using Lucenestore (' store[true]:tokenize[true] '); At this point, we have successfully stored the index on HDFS, do not be happy to kill, this is just a beginning, where you may have doubts, the index stored in HDFs can be d

simple Lucene index (storage?). Is it indexed? ） Store A into '/tmp/data/20150303/luceneindex ' using Lucenestore (' store[true]:tokenize[true] '); At this point, we have successfully stored the index on HDFS, do not be happy to kill, this is just a beginning, where you may have doubts, the index stored in HDFs can be directly queried or access it? The answer is yes, but it is not recommended that you directly read the HDFs index, even if the bloc

have doubts, the index stored in HDFs can be directly queried or access it? The answer is yes, but it is not recommended that you directly read the HDFs index, even if the block cache with Hadoop to speed up, performance is still relatively low, unless your cluster machine is not lack of memory, otherwise, it is recommended that we directly copy the index to the local disk and then retrieve, This is a temporary trouble, scattered in the following article will explain how to put pig generated re

,desc:chararray,score:int);; --Build the index and store it on HDFS, noting the need to configure a simple Lucene index (storage?). Is it indexed? ） Store A into '/tmp/data/20150303/luceneindex ' using Lucenestore (' store[true]:tokenize[true] '); At this point, we have successfully stored the index on HDFS, do not be happy to kill, this is just a beginning, where you may have doubts, the index stored in HDFs can be directly queried or access i

When we use boooleanquery, sometimes we want to hit at least N, we usesetMinimumNumberShouldMatch方法。Like what: booleanquery BQ = new Booleanquery (); Bq.add ( new termquery (new term (" Title "," Java " new Termquery (new term ("title", "C #" new termquery (new term ("title", "JavaScript" new termquery (new term ("title", "PHP" 3); Query string: (Title:java title:c# title:javascript title:php) ~ When we retrieve the string directly as SOLR's Q parameter,

Concept:Apache SOLR is an open-source search server. SOLR is developed using the Java language, mainly based on HTTP and Apache Lucene implementations. The resources stored in Apache SOLR are stored as objects in Document. Each do

After learning from the previous two articles, using SOLR for data import and incremental indexing of MySQL should be all right. (Children's shoes are not clear, please check the following blog posts to learn: http://blog.csdn.net/weijonathan/article/details/16962257, Http://blog.csdn.net/weijonathan /article/details/16961299) Next we'll learn to read the data we want from SOLR. You can also verify with the