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Lucene6-indexing-flow

2016-09-02 19:31:05   0  举报

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Lucene 6是一个开源的全文检索引擎库，提供了创建和查询索引的功能。其索引流程包括以下步骤：首先，将文档内容分词（Tokenization），然后对每个词项进行标准化处理（Normalization）。接着，为每个词项生成一个倒排索引，记录包含该词项的所有文档。最后，将倒排索引写入磁盘上的索引文件。在这个过程中，还可以通过设置过滤器（Filter）来优化索引效果，例如去除停用词、同义词替换等。Lucene 6支持多种数据源，如文本文件、数据库表等，可以方便地集成到各种应用中。

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大纲/内容

return seq

docWriter.ensureInitialized(ThreadState)

DocumentWriterFlushControl

perThreadPool.release(perThread)

threadStates: List

Then

consumer.processDocument()

termsHash.startDocument()

docWriter: DocumentsWriterPerThreadnextTermsHash: TermVectorsConsumer

call

storedFieldsWriter.finishDocument()

threadState.lock()

directory:MMapDirectiryconfig:IndexWriterConfigwriter: IndexWriterperThreadPool:DocumentWriterPerThreadPool {threadStates: List}flushControl:DocumentWriterFlushControl

DefaultIndexingChain#PerField

termsHashPerField: FreqFoxTermsWriterPerFieldsimilarity: BM25Similaritynorms: NormValuesWriterinvertSate: FieldInvertStatedocValuesWriterpointValuesWritertokenStreamnext: PerField

finishStoredFields()

return

storedFiledsWriter.startDocument()

DefaultIndexingChain

IndexWriter

perField-fieldsHash[field]

nextTermsHash.finishDocument()

new TermVectorsConsumerPerField()

hasEvents=preUpdate()

threadState.dwpt = new

FreqProxTermsWriter extends TermsHash

config:IndexWriterConfigdocumentsWriter: DocumentsWriterperThreadPool:DocumentWriterPerThreadPool {threadStates: List}

flushControl.obtainAndLock()

foreach perField in fields:

startStoredFields()

perFied.setInvertState()|- new FieldInvertState() |-new NormValuesWriter()

nextTermsHash.startDocument()

new FreqProxTermsWriterPerField()

DocumentWriterPerThreadPool

directorydirectoryOrgconsumer: DefaultIndexChainindexWriter: IndexWriterindexWriterConfig: IndexWriterConfigintBlockAllocator: DocumentWriterPerThread$IntBlockAllocatorbyteBlockAllocator: ByteBlockPool$DirectoryTrackingAllocator

finishDocument(delterm)

DocumentsWriterPerThread

perField.finish():norms.addValue()termsHashPerField.finish()

ThreadState: perThread=

then

seq=

directory:MMapDirectiryconfig:IndexWriterConfigayalyzer:StandardAnalyzerdocWriter:DocumentWritermergeScheduler:ConcurrentMergeScheduler

DocumentsWriter

Start

CompressingStoredFiledsWriter

termsHash.finishDocument()

docWriter: DocumentsWriterPerThreadperFileds: TermVectorsConsumerPerFiledwriter: TermVectorsWriter