Advance Solr (2 day session)Overview
Solr advanced Training India
After taking this course you will be able to configure and deploy Solr, run a wide range of queries including queries with facets, and index documents with Solr. In this course you will learn about query routing, results re-ranking, term vectors, schema API, custom similarity, merge policy, codecs, language identification, data import handler, advanced Solr and SolrCloud tuning and scaling, shard splitting, data migrations, handling a large number of collections, authentication, Solr and HDFS, and so on .
For whom
The course is designed for technical attendees experienced with Solr and looking to extending their Solr knowledge. A person should be able to index data to Solr, run queries, work with Solr analysis, use faceting, grouping, know basic Solr configuration and tuning principles. Experience with Linux systems is must
Course Outline
If you do not have prior Solr experience and you would like to take advantage of Solr advance training, please consider attendingSolr Startup and Solr and Cloudclasses.
Search Under Control
-
Routing
-
Index time routing
-
Query time routing
-
Basic syntax for local params
-
Parameter dereferencing
-
Using parameter dereferencing in handlers configuration
-
Using filters tagging
-
Using faceting exclusions
-
Re-ranking queries results
-
Lab
-
Indexing documents with routing
-
Running queries with routing
-
Using parameter dereferencing to create your own parameters in query
-
Tagging and excluding filters
-
-
Term Vectors
-
What are term vectors
-
Retrieving additional information from Solr
-
Understanding term vector component
-
Lab
-
Configure fields to use term vectors
-
Creating handlers that use term vectors
-
Retrieving term vectors when searching
-
Retrieving term positions and offsets
-
-
-
Configuring Solr Index
-
Custom similarity
-
Schema API
-
Managed resources
-
Lab
-
Using Schema API to retrieve information about collection structure
-
Adding new field type using Schema API
-
Adding new field using Schema API
-
Adding copy field using Schema API
-
-
-
Configuring Solr Internals
-
General solrconfig.xml sections
-
Lucene directory configuration
-
Schema factory settings
-
Codecs
-
Merge policy
-
Merge scheduler
-
Transaction log configuration
-
Replication
-
Update request processors
-
Language detection
-
Configuring logging
-
Slow query log
-
Lab
-
Configuring Solr to use managed schema
-
Preparing master – slave replication
-
Configuring slow logging
-
-
-
Data Import Handler
-
Configuring data import handler
-
Using data import handler
-
Entity processors
-
Transformers
-
Lab
-
Importing data from SQL database
-
Partial data import from SQL database
-
Importing data from XML files using
-
-
-
Streaming Aggregations
-
Streaming expressions basics
-
Stream sources
-
Stream decorators
-
Scheduling streams
-
SQL over MapReduce in SolrCloud
-
Export request handler
-
Lab
-
Searching using streaming aggregations
-
Merging two results streams
-
Retrieve unique documents based on a given field
-
Using scheduling streams
-
-
-
Expert Tuning Solr
-
Memory considerations
-
Indexing threads
-
Auto commit tuning
-
Caches
-
Replication throttling
-
Lab
-
Configuring indexing threads
-
Configuring auto commits
-
Throttle replication
-
-
-
Scaling Solr
-
Proper Solr master configuration
-
Proper Solr slaves configuration
-
Multiple masters architecture
-
Setting up Solr slaves for multiple masters
-
Indexing data in multimaster environment
-
Querying in multimaster environment
-
-
Expert SolrCloud
-
ZooKeeper role explained
-
Sharding and replicating
-
Cluster state explained
-
Shard splitting
-
Migrating data between collections
-
Working with large number of collections
-
Lab
-
Creating collection matching environment needs
-
Adding and removing replicas
-
Moving shards around the cluster
-
Adding shards to collection
-
Migrating data between collections
-
-
-
Other Solr Features
-
Enabling security in SolrCloud
-
Basic authorization
-
Other authorization options
-