Indexing PDF filesThe library on the corner, we used to go to, wants to expand its collect Solr can do it with the use of Apache Tika (link-marketing.info). Solve real-time problems related to Apache Solr 4.x and effectively with the help of over easy-to-follow recipes. Apache Solr is based on Lucene and is the enterprise open source and maxWarmingSearchers options of the Solr recipe relate to this aspect.
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Designed to provide high-level documentation, this guide is intended to be more encyclopedic and less of a cookbook. It is structured to. Starting the Solr example server 28 Exploring Solr's query form 34 □ .. Apache Software Foundation in January and became a .. pages, resumes , PDF documents, and social messages such as tweets or blogs. □. Apache Solr 4 can transform the effectiveness of your search engines and this book will show you how. Jump straight into the hands-on recipes.
By the end of this book, you will be able to produce enhanced, optimized, and powerful results by implementing pro-level practices and techniques. Preparing text to perform an efficient trailing wildcard search. Indexing PDF files. Tuning segment merging. Splitting text by numbers and non-whitespace characters. Using the Solr document query join functionality.
Indexing data from a database using Data Import Handler. Incremental imports with DIH. Transforming data when using DIH. Indexing multiple geographical points.
Updating document fields. Detecting the document language during indexation. Optimizing the primary key indexation. Handling multiple currencies. Analyzing Your Text Data. Using the enumeration type. Removing HTML tags during indexing. Storing data outside of Solr index. Using synonyms. Stemming different languages. Using nonaggressive stemmers. Using the n-gram approach to do performant trailing wildcard searches. Using position increment to divide sentences.
Using patterns to replace tokens. Querying Solr. Understanding and using the Lucene query language. Using position aware queries. Using boosting with autocomplete. Phrase queries with shingles. Handling user queries without errors. Handling hierarchies with nested documents. Sorting data on the basis of a function value. Controlling the number of terms needed to match.
Affecting document score using function queries. Using simple nested queries. Using the Solr document query join functionality.
Handling typos with n-grams. Rescoring query results.
Getting the number of documents with the same field value. Getting the number of documents with the same value range. Getting the number of documents matching the query and subquery. Removing filters from faceting results.
Using decision tree faceting. Calculating faceting for relevant documents in groups. Improving faceting performance for low cardinality fields. Improving Solr Performance. Handling deep paging efficiently. Configuring the document cache. Configuring the query result cache. Configuring the filter cache. Improving Solr query performance after the start and commit operations.
Lowering the memory consumption of faceting and sorting. Speeding up indexing with Solr segment merge tuning. Avoiding caching of rare filters to improve the performance.
Controlling the filter execution to improve expensive filter performance. Configuring numerical fields for high-performance sorting and range queries. In the Cloud. Creating a new SolrCloud cluster. Setting up multiple collections on a single cluster. Splitting shards. Having more than a single shard from a collection on a node.
Creating a collection on defined nodes. Adding replicas after collection creation. Removing replicas. Moving shards between nodes. Using aliasing. Using routing. Using Additional Functionalities. Finding similar documents.
Highlighting fragments found in documents. Efficient highlighting.
Using versioning. Retrieving information about the index structure. Altering the index structure on a live collection. Grouping documents by the field value. Grouping documents by the query value.
Grouping documents by the function value. Efficient documents grouping using the post filter. Dealing with Problems. Dealing with the too many opened files exception.
Diagnosing and dealing with memory problems. Solr Cookbook - Third Edition. Solve real-time problems related to Apache Solr 4. Are you sure you want to claim this product using a token? Quick links: What do I get with a Packt subscription? What do I get with an eBook? What do I get with a Video? Frequently bought together. Learn more Add to cart. Apache Solr Search Patterns.
Paperback pages. Book Description Starting with vital information on setting up Solr, you will quickly progress to analyzing your text data through querying and performance improvement. Table of Contents Chapter 1: Apache Solr Configuration. Migrating configuration from master-slave to SolrCloud.
Chapter 2: Indexing Your Data. Indexing data from a database using Data Import Handler. Chapter 3: Analyzing Your Text Data. Using the n-gram approach to do performant trailing wildcard searches.
Chapter 4: Querying Solr.
Chapter 5: Getting the number of documents with the same field value. Getting the number of documents with the same value range. Getting the number of documents matching the query and subquery. Improving faceting performance for low cardinality fields. Chapter 6: Improving Solr Performance. Improving Solr query performance after the start and commit operations. Lowering the memory consumption of faceting and sorting. Avoiding caching of rare filters to improve the performance.
Controlling the filter execution to improve expensive filter performance. Configuring numerical fields for high-performance sorting and range queries. Chapter 7: In the Cloud. Having more than a single shard from a collection on a node. Chapter 8: Using Additional Functionalities. Chapter 9: Dealing with Problems.
Chapter Real-life Situations. Implementing the autocomplete functionality for products. Implementing the autocomplete functionality for categories. What You Will Learn Acquire the skills needed to index your data in different formats, forms, and sources Overcome common problems while analyzing your data Use the faceting mechanism to get aggregated information about your data Improve your Solr instance and Solr cluster performance Get to know how to configure and use SolrCloud Make use of the highlighting and document grouping functionalities Diagnose and resolve problems with Solr instances and clusters Implement different autocomplete functionalities.
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