The document discusses using Apache Solr to provide search capabilities for Apache Cassandra data. It provides examples of Solr schemas that can index Cassandra columns and rows, and describes how to configure Solr for features like fuzzy search. The benefits mentioned include full-text search, rich data formats, interoperability through REST, and reducing costs while improving performance for one company by migrating from Storm to Solr.

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6. Flexible schema
Easily to scale, increased redundancy
Fast enough for web requests
Consolidate existing services
Hadoop support
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9. FUD
No Ad-hoc queries
No Indexes
No range queries
Limited tooling
Code complexity
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12. REST
CQL
Thrift
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13. SOLR Schema
<?xml version="1.0" encoding="UTF-8" ?>
<schema name="my_column_family" version="1.0">
<types>
<fieldType name="string" class="solr.StrField"/>
<fieldType name="date" class="solr.DateField"/>
</types>
<fields>
<field name="id" type="string" indexed="true" stored="true"/>
<field name="name" type="string" indexed="true" stored="true"/>
<field name="released_at" type="date" indexed="true" stored="true"/>
</fields>
<uniqueKey>id</uniqueKey>
<defaultSearchField>name</defaultSearchField>
</schema>
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14. Basic Queries
http://localhost:8983/solr/my_keyspace.my_column_family/select?q=name:foo
SELECT * FROM my_column_family WHERE solr_query='name:foo';
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15. Wide Rows
<?xml version="1.0" encoding="UTF-8" ?>
<schema name="my_column_family" version="1.0">
<types>
<fieldType name="string" class="solr.StrField"/>
<fieldType name="date" class="solr.DateField"/>
</types>
<fields>
<field name="id" type="string" indexed="true" stored="true"/>
<field name="name" type="string" indexed="true" stored="true"/>
<field name="released_at" type="date" indexed="true" stored="true"/>
<dynamicField name="wide_*" type="string" indexed="true" stored="true"/>
</fields>
<uniqueKey>id</uniqueKey>
<defaultSearchField>name</defaultSearchField>
</schema>
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16. Fuzzy Search
<schema name="my_column_family" version="1.0">
<types>
<fieldType name="string" class="solr.StrField"/>
<fieldType name="ngram" class="solr.TextField" positionIncrementGap="100">
<analyzer type="index">
<tokenizer class="solr.KeywordTokenizerFactory"/>
<filter class="solr.WordDelimiterFilterFactory" generateWordParts="1"
generateNumberParts="1" catenateWords="1" catenateNumbers="1"
catenateAll="1" preserveOriginal="1"/>
<filter class="solr.NGramFilterFactory" minGramSize="2" maxGramSize="15"/>
</analyzer>
<analyzer type="query">
<tokenizer class="solr.WhitespaceTokenizerFactory"/>
</analyzer>
</fieldType>
</types>
<fields>
<field name="id" type="string" indexed="true" stored="true" />
<field name="name" type="string" indexed="true" stored="true" />
<field name="name_fuzzy" type="ngram" indexed="true" stored="true" />
</fields>
<copyField source="name" dest="name_fuzzy"/>
<uniqueKey>id</uniqueKey>
<defaultSearchField>name</defaultSearchField>
</schema>
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17. • Full-text indexing
• Trigrams
• Rich data formats (PDF, Word, HTML)
• Easy interop (REST,CSV, XML, JSON)
• Geo-spatial search
• Highlighting
• Auto-suggest
• Faceted search and filtering
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19. Storm
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20. Storm
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21. Increased performance
by 700% while growing
data by 500%
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22. Reduced operational
costs by 40%
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23. Deleted 15,000 lines of code
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