- Solr Cookbook Third Edition
- Table of Contents
- Solr Cookbook Third Edition
- Credits
- About the Author
- Acknowledgments
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Apache Solr Configuration
- Introduction
- Running Solr on a standalone Jetty
- Installing ZooKeeper for SolrCloud
- Migrating configuration from master-slave to SolrCloud
- Choosing the proper directory configuration
- Configuring the Solr spellchecker
- Using Solr in a schemaless mode
- Limiting I/O usage
- Using core discovery
- Configuring SolrCloud for NRT use cases
- Configuring SolrCloud for high-indexing use cases
- Configuring SolrCloud for high-querying use cases
- Configuring the Solr heartbeat mechanism
- Changing similarity
- 2. Indexing Your Data
- Introduction
- Indexing PDF files
- Counting the number of fields
- Using parsing update processors to parse data
- Using scripting update processors to modify documents
- 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
- 3. Analyzing Your Text Data
- Introduction
- 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
- 4. Querying Solr
- Introduction
- 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
- 5. Faceting
- Introduction
- 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
- 6. Improving Solr Performance
- Introduction
- 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
- 7. In the Cloud
- Introduction
- 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
- 8. Using Additional Functionalities
- Introduction
- 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
- 9. Dealing with Problems
- Introduction
- Dealing with the too many opened files exception
- Diagnosing and dealing with memory problems
- Configuring sorting for non-English languages
- Migrating data to another collection
- SolrCloud read-side fault tolerance
- Using the check index functionality
- Adjusting the Jetty configuration to avoid deadlocks
- Tuning segment merging
- Avoiding swapping
- 10. Real-life Situations
- Introduction
- Implementing the autocomplete functionality for products
- Implementing the autocomplete functionality for categories
- Handling time-sliced data using aliases
- Boosting words closer to each other
- Using the Solr spellchecking functionality
- Using the Solr administration panel for monitoring
- Automatically expiring Solr documents
- Exporting whole query results
- Index
In this chapter, we will cover the following topics:
- 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
With the release of Apache Solr 4.0, we were given a new, powerful mode Solr could work in—SolrCloud. What we got is out-of-the-box distributed indexing and searching at a full scale. We can distribute our collection along multiple machines without having to think about doing it in our application. We can have multiple logical collections defined, running, and managed automatically. In this chapter, we'll see how to manage your SolrCloud instances, how to increase the number of replicas, and have multiple collections inside the same cluster.
This chapter covers both Solr 4.x and Solr 5 when it comes to the creation of SolrCloud clusters and handling collections.
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