PyPI官网下载|Whoosh-2.5.7.tar.gz资源-CSDN文库

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共282个文件

py：149个

txt：63个

rst：58个

Whoosh是一个纯Python的全文搜索引擎库，它提供了高效、灵活的索引和搜索功能，用于在数据集上实现快速的全文检索。这个资源是Whoosh的2.5.7版本，可以从Python的官方第三方包仓库PyPI（Python Package Index）上获取。 1. **Whoosh简介** Whoosh是一个开源的、轻量级的、高性能的全文搜索引擎库，适用于Python开发者。它不需要任何外部依赖，可以方便地集成到Python项目中，为应用添加搜索功能。Whoosh的设计目标是易于使用，同时提供足够的灵活性，让开发者可以根据自己的需求定制搜索行为。 2. **主要功能** - **索引创建**：Whoosh允许开发者将文本数据结构化为可搜索的索引，这包括分词、去除停用词等预处理步骤。 - **查询构造**：提供了丰富的API来构建复杂的查询表达式，支持布尔逻辑、短语匹配、模糊搜索等。 - **搜索执行**：高效地搜索索引，返回最相关的匹配结果。 - **排序与过滤**：可以按需对搜索结果进行排序，并进行各种过滤操作。 - **实时更新**：支持索引的实时更新，无需重建整个索引即可添加或删除文档。 3. **安装与使用** 通常，从PyPI下载Whoosh的最新版本（如2.5.7）可以使用`pip`命令： ``` pip install Whoosh ``` 下载后的`Whoosh-2.5.7.tar.gz`文件解压后包含了源代码，可以用于自定义编译或深入研究其内部实现。 4. **示例代码** 创建索引： ```python from whoosh.index import create_in from whoosh.fields import Schema, TEXT from whoosh.qparser import QueryParser schema = Schema(title=TEXT(stored=True), content=TEXT) with create_in("myindex", schema) as writer: writer.add_document(title="文档1", content="这是一个示例") writer.add_document(title="文档2", content="这是另一个示例") ``` 搜索索引： ```python from whoosh.index import open_dir from whoosh.qparser import QueryParser with open_dir("myindex") as reader: with reader.searcher() as searcher: query = QueryParser("content", reader.schema).parse("示例") results = searcher.search(query) for result in results: print(result["title"]) ``` 5. **Whoosh与其他搜索引擎库的比较** Whoosh与Solr、Elasticsearch等企业级搜索引擎相比，更适用于小型项目或个人开发，因为它们的设置更为简单，但可能在处理大量数据和复杂查询时性能稍逊。 6. **优化与扩展** - **内存管理**：Whoosh通过使用存储字段来减少内存消耗，但大量数据可能导致内存压力，需要合理设计索引结构。 - **性能调优**：可以通过调整分析器、使用缓存等方式提升搜索速度。 - **多线程**：Whoosh支持在多个线程中并行构建索引，提高索引效率。 7. **社区与支持** Whoosh有一个活跃的社区，开发者可以在GitHub上找到源代码和问题跟踪。此外，Python的Stack Overflow和相关的论坛也是获取帮助和支持的好地方。 Whoosh是一个优秀的Python全文搜索引擎库，适合那些希望在自己的应用程序中快速实现全文搜索功能的开发者。通过学习和使用Whoosh，你可以轻松地为你的Python项目添加高效的搜索功能。

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PyPI 官网下载 | Whoosh-2.5.7.tar.gz （282个子文件）

setup.cfg 1KB

dcvgr10.txt.gz 197KB

reuters21578.txt.gz 178KB

MANIFEST.in 253B

PKG-INFO 4KB

whoosh_64.png 8KB

whoosh_35.png 3KB

whoosh_16.png 909B

charset.py 79KB

whoosh2.py 68KB

searching.py 63KB

test_searching.py 60KB

fields.py 50KB

plugins.py 49KB

morph_en.py 47KB

writing.py 45KB

columns.py 45KB

fst.py 44KB

reading.py 42KB

collectors.py 41KB

sorting.py 41KB

whoosh3.py 40KB

test_sorting.py 36KB

test_parsing.py 32KB

dateparse.py 32KB

highlight.py 32KB

spans.py 28KB

unicode.py 26KB

test_indexing.py 25KB

filetables.py 24KB

base.py 24KB

binary.py 24KB

index.py 23KB

test_results.py 22KB

qcore.py 22KB

compound.py 22KB

test_parse_plugins.py 21KB

test_codecs.py 21KB

filestore.py 21KB

bench.py 21KB

scoring.py 20KB

russian.py 20KB

test_queries.py 20KB

test_analysis.py 19KB

intraword.py 19KB

test_fields.py 19KB

mcore.py 18KB

syntax.py 18KB

terms.py 17KB

dmetaphone.py 17KB

wrappers.py 17KB

english.py 17KB

relativedelta.py 17KB

isri.py 17KB

default.py 17KB

times.py 17KB

formats.py 16KB

stopwords.py 16KB

filters.py 16KB

test_dateparse.py 16KB

idsets.py 16KB

test_writing.py 16KB

test_spelling.py 15KB

test_matching.py 15KB

multiproc.py 15KB

nested.py 14KB

french.py 14KB

plaintext.py 14KB

test_nested.py 13KB

ranges.py 13KB

cache.py 13KB

spelling.py 12KB

tokenizers.py 12KB

test_dawg.py 12KB

lovins.py 12KB

structfile.py 12KB

test_reading.py 12KB

romanian.py 11KB

classify.py 11KB

hungarian.py 11KB

memory.py 11KB

numeric.py 11KB

analyzers.py 11KB

test_spans.py 11KB

compound.py 11KB

spanish.py 11KB

test_highlighting.py 10KB

nfa.py 10KB

numlists.py 10KB

morph.py 10KB

finnish.py 10KB

combo.py 10KB

glob.py 9KB

test_columns.py 9KB

positional.py 9KB

marc21.py 9KB

italian.py 9KB

wordnet.py 9KB

ngrams.py 9KB

共 282 条

About Whoosh ============ Whoosh is a fast, featureful full-text indexing and searching library implemented in pure Python. Programmers can use it to easily add search functionality to their applications and websites. Every part of how Whoosh works can be extended or replaced to meet your needs exactly. Some of Whoosh's features include: * Pythonic API. * Pure-Python. No compilation or binary packages needed, no mysterious crashes. * Fielded indexing and search. * Fast indexing and retrieval -- faster than any other pure-Python, scoring, full-text search solution I know of. * Pluggable scoring algorithm (including BM25F), text analysis, storage, posting format, etc. * Powerful query language. * Pure Python spell-checker (as far as I know, the only one). Whoosh might be useful in the following circumstances: * Anywhere a pure-Python solution is desirable to avoid having to build/compile native libraries (or force users to build/compile them). * As a research platform (at least for programmers that find Python easier to read and work with than Java ;) * When an easy-to-use Pythonic interface is more important to you than raw speed. Whoosh was created and is maintained by Matt Chaput. It was originally created for use in the online help system of Side Effects Software's 3D animation software Houdini. Side Effects Software Inc. graciously agreed to open-source the code. This software is licensed under the terms of the simplified BSD (A.K.A. "two clause" or "FreeBSD") license. See LICENSE.txt for information. Installing Whoosh ================= If you have ``setuptools`` or ``pip`` installed, you can use ``easy_install`` or ``pip`` to download and install Whoosh automatically:: $ easy_install Whoosh or $ pip install Whoosh Learning more ============= * Read the online documentation at http://packages.python.org/Whoosh/ * Join the Whoosh mailing list at http://groups.google.com/group/whoosh * File bug reports and view the Whoosh wiki at http://bitbucket.org/mchaput/whoosh/ Getting the source ================== Download source releases from PyPI at http://pypi.python.org/pypi/Whoosh/ You can check out the latest version of the source code using Mercurial:: hg clone http://bitbucket.org/mchaput/whoosh