Download Apache Solr 4 Cookbook by Rafal Kuc PDF

April 5, 2017 | Nonfiction | By admin | 0 Comments

By Rafal Kuc

Over a hundred recipes to make Apache Solr swifter, extra trustworthy, and go back greater results

Overview
* the way to make Apache Solr seek quicker, extra whole, and comprehensively scalable.
* resolve functionality, setup, configuration, research, and question difficulties in no time.
* familiarize yourself with, and grasp, the recent interesting positive aspects of Apache Solr 4.

In Detail

Apache Solr is a blazing speedy, scalable, open resource company seek server equipped upon Apache Lucene. Solr is wildly well known since it helps complicated seek standards, faceting, consequence highlighting, query-completion, question spell-checking, and relevancy tuning, among different a variety of features.

"Apache Solr four Cookbook" will enable you get the main from your seek engine. packed with functional recipes and examples, this publication will assist you to manage Apache Solr, track and benchmark functionality in addition to index and study your information to supply greater, extra certain, and helpful seek data.

"Apache Solr four Cookbook" will make your seek larger, extra exact and speedier with useful recipes on crucial subject matters reminiscent of SolrCloud, querying facts, seek faceting, textual content and knowledge research, and cache configuration.

With a variety of functional chapters situated on very important Solr recommendations and strategies, Apache Solr four Cookbook is a vital source for builders who desire to take their wisdom and talents extra. completely up to date and better, this Cookbook additionally covers the adjustments in Apache Solr four together with the remarkable features of SolrCloud.

What you'll study from this book
* effective and configurable Apache Solr four setup
* Index your information in numerous codecs, varieties, and sources
* enforce diverse autocomplete functionality
* in achieving close to actual time seek with Apache Solr 4
* increase and benchmark Apache Solr for elevated performance
* grasp SolrCloud functionality
* Diagnose and get to the bottom of your issues of Apache Solr 4
* increase the relevance of your queries
* triumph over universal difficulties whilst interpreting your data

Approach

"Apache Solr four Cookbook" is written in a invaluable, sensible kind with a number of hands-on recipes that will help you grasp Apache Solr to get extra exact seek effects and research, greater functionality, and reliability.

Who this publication is written for

This publication is for builders who desire to grasp Apache Solr four. This publication will particularly entice builders who desire to fast familiarize yourself with the alterations and new beneficial properties of Apache Solr four. This e-book is additionally convenient as a realistic advisor to fixing universal difficulties and concerns while utilizing Apache Solr.

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Extra info for Apache Solr 4 Cookbook

Example text

The SQL query is there to fetch the data from the database and use it to fill the entity variables which will be indexed. After the entity comes the mapping definition. There is a single field tag for every column returned by a query, but that is not a must – Data Import Handler can guess what the mapping is (for example, where the entity field name matches the column name), but I tend to use mappings because I find it easier to maintain. But let's get back to fields. The field tag is defined by two attributes: column which is the column name returned by a query, and name which is the field to which the data will be written.

Xml part which actually defines a new request handler, Data Import Handler, to be used by Solr. The XML tag specifies the name of the Data Import Handler configuration file. The second listing is the actual configuration of Data Import Handler. I used the JDBC source connection sample to illustrate how to configure Data Import Handler. The contents of this configuration file start with the root tag named dataConfig which is followed by a second tag defining a data source and named dataSource.

Command=full-import&clean=false Indexing data from a database using Data Import Handler Let's assume that we want to index the Wikipedia data, and we don't want to parse the whole Wikipedia data and make another XML file. Instead we asked our DB expert to import the data dump information from the PostgreSQL database, so we could fetch that data. Did I say fetch? Yes it is possible – with the use of Data Import Handler and JDBC data source. This task will guide you through how to do it. Getting ready Please refer to the How to properly configure Data Import Handler recipe in this chapter to get to know the basics about how Data Import Handler is configured.

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