Web / Apache Lucene Interview questions

What are the different types of Field in Lucene?

Lucene ships several ready-made Field subclasses so you don't have to hand-configure a FieldType for common cases:

Field Type	Behavior
TextField	Analyzed and tokenized, optionally stored - for prose.
StringField	Indexed as a single un-tokenized term - for exact-match values like IDs.
StoredField	Stored only, not indexed - for data you only need to display.
IntPoint / LongPoint	Indexed for efficient numeric range queries.
SortedDocValuesField	Column-oriented storage for fast sorting and faceting.

Picking the right subclass up front avoids a lot of manual FieldType wiring and keeps the intent of each field obvious to anyone reading the indexing code later.

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Which field type is used for efficient numeric range queries? StringField

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IntPoint / LongPoint

✓ Correct! Well done.

StoredField

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A field that is stored but never indexed is created with: TextField

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SortedDocValuesField

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StoredField

✓ Correct! Well done.

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Define a Lucene Segment? How does Lucene score documents (TF-IDF vs BM25)? What is a TokenFilter in Lucene? What is a Lucene Directory? What is a Term in Lucene? Why do we use Analyzers with different tokenization strategies? What is a Lucene Document? What is a Tokenizer in Lucene? What is the purpose of the IndexSearcher class? What are the different types of Field in Lucene? Describe the role of the QueryParser in Lucene? List common built-in Analyzers in Lucene? What is the difference between StringField and TextField? What is the difference between IndexWriter and IndexWriterConfig? What is Apache Lucene? What is an inverted index in Lucene? What are Fields in a Lucene Document? What is an Analyzer in Lucene? What is the purpose of the IndexWriter class? When should you use StandardAnalyzer vs a custom Analyzer?

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