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Dec 26, 2025 · Databases

How to Enable Accurate Code Search in Elasticsearch with an NGram Analyzer

This article analyzes the shortcomings of standard Elasticsearch analyzers for code search, presents a custom NGram analyzer combined with match_phrase queries, shows configuration and query examples, compares performance of different query types, and offers best‑practice guidelines and pitfalls to avoid when building a reliable code‑search system.

ElasticsearchNGramPython

0 likes · 13 min read

How to Enable Accurate Code Search in Elasticsearch with an NGram Analyzer

Selected Java Interview Questions

Mar 26, 2025 · Databases

Optimizing Small‑Scale Product Title Search with MySQL FULLTEXT and Ngram Indexing

This article explains how to efficiently search product titles in a few‑million‑row MySQL table by using built‑in FULLTEXT indexes, jieba‑php tokenization, and the ngram parser, avoiding unnecessary external search engines and providing practical code examples.

FullTextNGramPHP

0 likes · 5 min read

Optimizing Small‑Scale Product Title Search with MySQL FULLTEXT and Ngram Indexing

Python Programming Learning Circle

Mar 29, 2024 · Big Data

Analyzing Google Ngram Data with Python, NumPy, and PyTubes

This article demonstrates how to download the Google 1‑gram dataset, load its 1.4 billion rows using NumPy and the PyTubes library, compute yearly word‑frequency percentages for terms like Python, and visualize the results while discussing performance challenges and future improvements.

NGramNumPydata analysis

0 likes · 8 min read

Analyzing Google Ngram Data with Python, NumPy, and PyTubes

政采云技术

Jan 17, 2024 · Databases

Using MySQL 5.7 ngram Full-Text Search for Simple Text Retrieval

This article explains how to leverage MySQL 5.7's built‑in ngram full‑text parser to implement lightweight Chinese full‑text search, covering configuration, index creation, query modes, operator usage, and performance considerations.

Boolean ModeFull‑Text SearchNGram

0 likes · 12 min read

Using MySQL 5.7 ngram Full-Text Search for Simple Text Retrieval

Sohu Tech Products

Dec 20, 2023 · Databases

Boost Fuzzy Search in Elasticsearch: ngram vs Wildcard Field Explained

This article compares Elasticsearch's ngram analyzer and the newer wildcard field for fuzzy searching, detailing configuration steps, performance trade‑offs, storage impact, and practical test results to help engineers choose the optimal approach for their use case.

ElasticsearchNGramfuzzy-search

0 likes · 8 min read

Boost Fuzzy Search in Elasticsearch: ngram vs Wildcard Field Explained

MaGe Linux Operations

Apr 5, 2022 · Big Data

Recreating Google Ngram Trends with Python: Analyzing 1.4 Billion Rows Efficiently

This article demonstrates how to use Python, the PyTubes library, and NumPy to load, process, and visualize the massive Google Ngram 1‑gram dataset—over 1.4 billion records—showing performance considerations, data‑cleaning steps, and comparative language trends for Python, Pascal, and Perl.

Big DataNGramNumPy

0 likes · 10 min read

Recreating Google Ngram Trends with Python: Analyzing 1.4 Billion Rows Efficiently

Python Programming Learning Circle

Mar 7, 2022 · Big Data

Analyzing 1.4 Billion N‑gram Rows with Python, NumPy and PyTubes

This article demonstrates how to download Google’s massive N‑gram dataset, load the 1.4 billion 1‑gram records with Python and the PyTubes library, use NumPy to efficiently compute yearly word frequencies, and reproduce Google Ngram Viewer charts for Python and other programming languages.

Big DataNGramPyTubes

0 likes · 7 min read

Analyzing 1.4 Billion N‑gram Rows with Python, NumPy and PyTubes

Aikesheng Open Source Community

Jun 23, 2021 · Databases

Using MySQL Ngram Plugin to Enable Accurate Full‑Text Search for Chinese Text

This article explains why MySQL's default full‑text index struggles with Chinese, demonstrates how to configure token size parameters, activate the ngram parser plugin, and adjust queries (including Boolean mode) to achieve reliable Chinese full‑text search results.

Boolean ModeChineseFull‑Text Search

0 likes · 12 min read