This article explains how treating JSON responses as UI components—by converting data models into view‑models on the server and exposing screen‑specific endpoints through a Backend‑for‑Frontend layer—solves the mismatch between REST resources and ever‑changing front‑end requirements.
This article explains how to use Python's try‑except and with statements to safely read and process CSV and JSON files, covering common errors such as missing files, permission issues, format problems, and providing best‑practice examples for robust error handling.
This article explains the three MySQL EXPLAIN output formats—TRADITIONAL, JSON, and TREE—demonstrates how the JSON format provides richer cost and data‑read information, compares query costs of sample SQL statements, and offers practical optimization suggestions for poorly performing joins.
This article explains how to encapsulate JSON data format validation in Pytest by creating a reusable JSONValidator utility, defining JSON Schemas, writing test cases that check structure, field types, and values, and executing them to ensure efficient and maintainable API testing.
This article explains how different Java boolean naming conventions affect JSON serialization across fastjson, Gson, and Jackson, demonstrates the resulting inconsistencies with code examples, and recommends using a plain "success" field with an isSuccess getter to ensure reliable cross‑library behavior.
This article provides a comprehensive guide to using Python's json module for serializing Python objects to JSON format and deserializing JSON data back to Python objects, covering key methods, options, and best practices.
This article explores the design and implementation of a high‑performance JSON assertion engine for automated testing, detailing its architecture, rule system, core comparison algorithms, visualization features, configuration options, and future enhancements, while providing code examples and performance insights.
This article introduces MySQL's JSON data type, explains its advantages and use cases, demonstrates how to create tables, insert JSON data, perform basic, conditional, nested, and sorted queries, modify data with JSON functions, and efficiently index JSON columns for faster retrieval.
This article introduces JSONPath as a query language for JSON, explains its core concepts and basic syntax with examples, demonstrates various practical use cases such as data extraction, API testing, and shows tool support across Python, Java, and JavaScript.
This article explains the core components of HTTP requests and responses in API testing, including request headers, request body formats, and response status codes with practical examples.
This guide shows how to use JSONPath within a Spring Boot 3.4.0 project to efficiently query, filter, and modify complex JSON structures, providing Maven setup, syntax overview, operator tables, and practical code examples for extracting authors, prices, books, and applying custom filters.
Java serialization, while convenient for object persistence, suffers from security vulnerabilities, versioning issues, performance constraints, and difficulties handling complex object graphs, prompting developers to evaluate alternatives such as JSON, Protocol Buffers, and Apache Avro, each offering distinct trade‑offs in readability, efficiency, and safety.
This article explains how TikTok engineers built Sonic, a high‑performance Go JSON library that leverages JIT compilation, SIMD instructions, smart memory handling, and optional features to dramatically reduce latency and memory usage compared with the standard encoding/json package, offering real‑world cost and speed benefits.
The latest GitStats release adds JSON report generation, extensive code refactoring with argparse replacing getopt, and full testing on Linux, Windows, and macOS, while outlining upcoming dark‑mode theming and a goal of 100% unit‑test coverage.
This article explains PHP's native JSON functions—json_encode and json_decode—showing how to convert PHP variables to JSON strings and back, and demonstrates a practical cURL example for fetching and processing JSON data from a remote API.
This article compares six popular Java JSON parsing solutions—Jackson, Gson, FastJSON, JsonPath, org.json, and manual parsing—detailing their features, code examples, advanced options, and pros and cons to help developers choose the right tool for various scenarios.
This guide explains why structured JSON output from LLMs is essential, walks through installing and running Ollama, and provides a complete Java Spring Boot implementation—including POJOs, service code, and best‑practice tips—to retrieve AI‑generated data in a reliable, parsable format.
Learn how to integrate Go and Java by compiling Go code into a shared library, exposing functions via cgo and JNI, and invoking them from Java with detailed setup, code examples, handling of primitive and complex data types, and full build‑and‑run instructions.
This article presents a collection of practical Python techniques—including one‑line variable swapping, list, set and dictionary comprehensions, the Counter class for counting, pretty‑printing JSON, inline conditional expressions, list slicing, itertools combinations, and a quirky False‑equals‑True example—each illustrated with concise code snippets and explanations.
Java developers can parse JSON using six popular approaches—Jackson for high‑performance, annotation‑driven serialization; Gson for a lightweight, easy‑to‑use API; FastJSON for speed; JsonPath for XPath‑style nested extraction; org.json for simple utility; or manual parsing for full control—each suited to different performance and complexity needs.
This article compares six popular Java JSON parsing approaches—Jackson, Gson, FastJSON, JsonPath, org.json, and manual parsing—detailing their features, code samples, advanced options, and pros and cons to help developers choose the right tool for their projects.
This tutorial introduces Python's core data structures—lists, dictionaries, sets, and tuples—and demonstrates essential file operations for text, CSV, and JSON formats, providing practical code examples for each concept and explains their characteristics, common operations, and best practices for efficient programming.
This tutorial demonstrates how to programmatically customize JSON serialization and deserialization in Spring Boot by implementing JsonSerializer, JsonDeserializer, JsonObjectSerializer, and JsonObjectDeserializer, complete with code examples, test endpoints, and important usage notes.
The article explains serialization and deserialization fundamentals, highlights pitfalls such as ambiguous binary streams and platform‑dependent field sizes, then compares Java’s native ObjectOutputStream, JSON libraries, Hessian binary RPC, and Google’s Protobuf, guiding readers to select the appropriate format based on performance, payload size, and type‑safety needs.
This guide walks you through installing Flask and Flask‑WTF, creating a Flask backend with routes and forms, designing Bootstrap‑styled HTML templates, adding custom JavaScript to render JSON as a tree, and running the application to view a polished online JSON visualizer.
This tutorial shows how to use the jq command‑line tool to extract each user's name from a JSON array, illustrating simple commands such as jq '.users[].name' data.json, describing the author's move from manual IDE methods, and emphasizing the importance of knowing jq exists and leveraging AI to generate scripts from plain‑language descriptions.
This tutorial explains how to convert TTF/WOFF font files into Three.js‑compatible JSON using a ttf_to_json tool, load the resulting font with FontLoader, generate shapes (including holes), center the geometry, adjust the camera, and add dynamic text input for interactive 3D rendering.
These 20 practical Python tips demonstrate how to import the json module, serialize and deserialize data, read and write JSON files, format output, handle dates, Unicode, special characters, nested structures, large files, and error handling, enabling more efficient and flexible JSON processing.
MySQL 8.3 introduces a new iterator‑aware JSON output for EXPLAIN and EXPLAIN ANALYZE, selectable via the explain_json_format_version variable, which aligns JSON with the tree format, provides richer execution statistics, and can be accessed programmatically through EXPLAIN INTO across all recent MySQL releases.
JSON Web Token (JWT) is a compact, self‑contained, stateless token that encodes header, payload, and signature in Base64URL, enabling secure, signature‑verified authentication without server‑side session storage, simplifying scaling, supporting cross‑domain use, while offering advantages like lightweight extensibility and drawbacks such as revocation difficulty and secret‑key reliance.
This article walks through extracting JSON data from a web page using Python, showcasing multiple code examples with requests, regex, BeautifulSoup, and json handling, and explains how to simplify storage and avoid common parsing pitfalls for reliable web scraping.
JSON Hero is a lightweight, UI‑driven JSON tool that offers multiple viewing modes, easy local installation, direct online use, content previews, searchable tree structures, and shareable links, making JSON handling faster and more intuitive for developers.
This article showcases over ten practical cURL examples—including filename globbing, configuration files, parallel requests, output formatting, testing, the trurl utility, data upload, and support for various protocols—demonstrating how the versatile tool can streamline networking, debugging, and automation tasks for developers and ops engineers.
This article introduces Python's built‑in modules and popular libraries for parsing CSV, JSON, and XML files, demonstrates advanced data manipulation with pandas, and presents multiple strategies—including chunked reading, Dask, PySpark, HDF5, databases, Vaex, and NumPy memory‑mapping—for efficiently handling very large datasets.
This tutorial walks through Python's built‑in json module, covering import, core concepts, serialization and deserialization of simple and complex structures, file I/O, and how to create custom JSONEncoder and JSONDecoder classes for advanced use cases.
This article explains why LLMs often fail to produce strict JSON, reviews existing solutions, and presents a three‑stage strategy—prompt engineering, dynamic constrained decoding, and post‑processing—to achieve reliable structured JSON output for automated pipelines.
This article introduces the most popular configuration file formats—INI, JSON, TOML, and YAML—explains their structures, compares their advantages and drawbacks, and provides Python code examples for reading and using each format safely and efficiently.
This article explains how APIJSON can replace dozens of traditional SpringBoot controller methods with a single configurable endpoint, demonstrating concise request formats, permission annotations, and example code for creating, reading, updating, deleting, and aggregating data in a Java backend.
This article explains how APIJSON lets developers replace dozens of SpringBoot CRUD endpoints with a single, configurable interface for GET, POST, PUT, DELETE and HEAD requests, dramatically cutting code lines while supporting complex queries, pagination, joins and role‑based permissions.
This guide explains how to serialize and deserialize Python objects using the pickle, json, and xml.etree.ElementTree modules, and demonstrates practical API testing scenarios—including POST, GET, PUT, DELETE, and nested JSON handling—so you can choose the right format for your needs.
This article explains how to convert between strings, lists, dictionaries, and JSON in Python using ast.literal_eval, json.loads, and json.dumps, and demonstrates practical applications such as API response handling in automation testing.
This article traces the 38‑year evolution of the SQL standard from its first version in 1986 through successive revisions—SQL‑89, SQL‑92, SQL:1999, SQL:2003, SQL:2006/2008, SQL:2011, SQL:2016, and the latest SQL:2023—highlighting key features, extensions, and the growing gap between standards and vendor implementations.
This article explains when to use NOT NULL versus NULL in relational database schemas, covering required fields, optional columns, unknown‑state representation, foreign keys, performance impact, versioning, data analysis, migration, default values and JSON types, with concrete SQL examples and practical guidance.
This guide explains why structured logging is essential for observability, shows how Spring Boot 3.4 adds out‑of‑the‑box support for Elastic Common Schema and Logstash formats, and provides step‑by‑step configurations and code examples for console output, file logging, custom fields, and custom formatters.
This article explains the fundamentals of JSON serialization and deserialization in Flutter, compares manual and automated approaches, introduces the json_serializable library and its annotations, demonstrates generic handling, custom converters, and tooling to streamline model generation for robust mobile app development.
This article explains five common serialization techniques—Java native serialization, Hessian, JSON, Google Protobuf, and Kryo—detailing their principles, performance characteristics, code examples, and when to choose each for Java backend systems.
Spring Boot 3.4 adds built‑in support for structured logging with ready‑made JSON formats such as Elastic Common Schema, lets you configure console or file outputs, enrich logs via MDC or the fluent API, and enables custom formatters—including a JsonWriter‑based example—for fully tailored, machine‑readable log entries.
This guide introduces JSON Hero, a lightweight JSON viewer with multiple viewing modes, explains how to install it locally or use it online, and highlights its key features such as content preview, search, shareable links, and VS Code integration, helping developers work with JSON more efficiently.
JSON Hero is a lightweight, feature‑rich tool that offers multiple visualizations of JSON data, easy local installation, direct web usage, searchable tree structures, and shareable links, making JSON inspection and editing faster and more intuitive for developers.
This article explains Java serialization and deserialization concepts, outlines common use cases such as distributed systems and caching, compares multiple implementation methods including Serializable, Externalizable, JSON, XML, and binary libraries, and provides practical code examples, security tips, and best‑practice guidelines.
The latest ThinkORM release, now independent from ThinkPHP and requiring PHP 8.0+, introduces extensive JSON handling improvements, new query methods, mutator enhancements, and numerous bug fixes that boost performance and developer experience for PHP database applications.
This guide explains how to export MongoDB collections to JSON, load them into DuckDB, generate compatible table schemas, and then transfer the data efficiently into MySQL using DuckDB as an intermediate processing engine.
This article introduces the most popular configuration file formats—INI, JSON, TOML, and YAML—explains their structures, compares their advantages and drawbacks, and provides Python code examples for reading each format using built‑in or third‑party libraries.
This article provides a thorough tutorial on Python file handling, covering how to open and close files, read and write data, work with absolute and relative paths, use different file modes, copy files, manipulate CSV files, and serialize data with JSON and pickle modules.
This guide walks through ten practical Python examples for parsing, constructing, validating, updating, deleting, and iterating JSON data via HTTP requests, including custom date serialization and schema validation, each demonstrated with complete code and expected outcomes.
This tutorial explores Jackson's rich annotation set in Spring Boot 3.2.5, demonstrating how to serialize and deserialize JSON with built‑in annotations like @JsonAnyGetter, @JsonGetter, @JsonPropertyOrder, and @JsonIgnore, how to create custom annotations, and how to disable annotation processing for fine‑grained control.
In Spring Boot you can customize JSON request and response handling by annotating fields with @JsonSerialize/@JsonDeserialize, registering a global ObjectMapper module, adding a PropertyEditor via @ControllerAdvice, creating a custom HttpMessageConverter, or using AOP interception, selecting the approach that matches your project’s complexity.
This tutorial explains how to read and write common file formats in Python—including text, JSON, Excel, XML, and INI files—covering append, overwrite, and read operations with clear code examples for each file type.
This tutorial demonstrates how to encode Python objects to JSON strings, decode JSON back to Python, read and write JSON files, pretty‑print and sort JSON output, handle special types with custom encoders, preserve key order, manage non‑ASCII characters, and process binary JSON data using the built‑in json module.
This article examines OpenAI's recent ChatGPT API update that adds JSON‑formatted responses, detailing the technical background, implementation steps, example requests and responses, and the broader impact on developers, enterprises, and future AI applications.
This article explains how to process multipart requests that combine JSON data, XML, and file uploads in Spring Boot using @RequestPart, covering backend controller setup, parameter validation, and the corresponding frontend FormData construction with code examples.
JSON Hero is a lightweight, user-friendly tool that offers multiple views—column, tree, and raw JSON—enhanced features like automatic content preview, search, and shareable links, with optional local installation via npm or instant online use by dragging files into its web interface.
This article explains the hierarchical structure of HttpRunner 4.x test cases, detailing configuration, parameters, test steps, variables, extraction, validation, hooks, dependencies, and reuse features for effective API automation testing, and provides practical YAML/JSON examples to illustrate each component.
This article explains how to leverage Redis Stack modules such as RedisJSON, RediSearch, and RedisTimeSeries to store, index, and query high‑dimensional vectors for image‑search services, providing Go code examples for index creation, bulk insertion, memory inspection, and K‑Nearest‑Neighbour vector searches with optional filtering.
JSON Hero is a lightweight, user‑friendly JSON viewer that offers column, tree, and raw JSON views, automatic content preview, and easy sharing; the article explains its features, provides a local installation guide with Git and npm commands, and shows how to use it directly in the browser.
The article walks through a puzzling JSON deserialization failure in a Java filter using FastJSON, compares it with Gson and Jackson, discovers that hidden escape characters cause the error, and shows how unescaping the string resolves the issue.
This article provides practical code examples for using key Python standard library modules—including os, sys, json, datetime, re, math, collections, urllib, random, and logging—to perform common tasks such as file operations, system info, data parsing, date handling, pattern matching, calculations, data structures, web requests, random generation, and logging.
This article provides an in‑depth tutorial on Python's json.loads function, covering basic parsing, handling arrays and special values, custom decoding, error handling, advanced features, and security best practices through more than ten practical code examples.
This article provides a comprehensive guide to Python's json.dumps function, covering basic serialization, formatting options, handling special data types, encoding considerations, performance tweaks, and real‑world usage examples to help developers serialize data efficiently and safely.
By installing the Apc Customize UI++ extension and adding a few lines to settings.json—such as moving the activity bar to the bottom, disabling the minimap, and adjusting title‑bar and font options—you can hide the activity bar and minimap for a cleaner VSCode interface, then restart to apply.
This article explains how to accelerate slow MySQL join queries in high‑traffic e‑commerce fulfillment systems by using wide tables, MySQL JSON columns, virtual columns, and indexed expressions, comparing their trade‑offs and providing practical SQL examples.
This article explains how PHP's json_decode function can transform JSON-formatted strings into PHP objects or associative arrays, demonstrates usage with code examples, and shows the resulting output for both object and array conversions.
This guide walks you through creating a dynamic, real‑time data visualization dashboard—covering design mockups, requirement planning, architecture using Echarts for the front‑end and Java for the back‑end, JSON data handling, deployment without installation, configuration steps, code structure, and source acquisition.
SQLite 3.46.0 introduces extensive PRAGMA enhancements, new date‑time modifiers, support for underscore digits in numeric literals, a json_pretty() function, significant query planner optimizations, improved JSON handling, and the ability to use large hexadecimal literals as column defaults, all while maintaining its public‑domain, self‑contained nature.
This article documents a month‑long effort to replace Fastjson with Gson in Java projects, analyzing security vulnerabilities, comparing performance and features of Fastjson, Jackson and Gson, and providing detailed migration steps, code examples, and solutions to common issues such as date handling, SpringBoot integration, Swagger compatibility and numeric type conversion.
Comparing JSON responses in functional and API testing is essential for validating data accuracy, detecting unintended changes, debugging issues, automating verification, and monitoring production health, and this article explains the reasons and provides a Python Tkinter tool to perform such comparisons.
This article walks through three ways to map JSON columns to Java objects in MyBatis, explains why simple String or JSONObject approaches are fragile, and provides a complete custom TypeHandler implementation, registration, and usage example for complex entity fields.
This article walks through a Python solution that loads user data from a JSON file, adds new usernames, emails, and passwords while preventing duplicates, and saves the updated information back, demonstrating practical data persistence without recreating dictionaries each run.
This article presents a collection of practical Python code snippets covering timestamp retrieval, date formatting, JSON correction, URL query parsing, file comment extraction, INI configuration reading, and project‑relative path resolution to help developers handle common tasks efficiently.
This newsletter curates recent developer-focused releases and articles, including the open‑source launch of Rolldown, TypeScript 5.4, Storybook 8, performance‑focused TypeScript tips, faster JSON alternatives, reactive front‑end development, a software engineering guide, Figma productivity tricks, and Canvas drawing optimizations.
This article demonstrates how to leverage ChatGPT to automatically extract structured key information from conversational text by defining input keywords, crafting effective prompts, testing iterative refinements, and integrating the process into a Coze workflow that outputs clean JSON data.
This guide shows how to install ThinkORM for PHP 8, then demonstrates inserting, querying, and updating JSON‑type columns both with raw queries and model classes, covering whole‑JSON operations, conditional searches, and handling JSON arrays in a ThinkPHP environment.
This article presents a systematic approach to distinguish effective from ineffective diff failures in traffic replay by designing a JSON similarity model based on value, key, and structural comparisons, implementing the algorithm in Java, and demonstrating its superior accuracy over traditional system diff through extensive experiments.
This article explains how to use the Lottie library to replace hand‑written CSS/JS or GIF animations with vector‑based, cross‑platform switch animations, covering installation, configuration options, direction control, playback speed, JSON modification, and a helper function for updating values.
This guide explains what PHP's stdClass is, how to convert arrays to objects and back, store data with dynamic properties, and use json_encode/json_decode for JSON serialization, providing clear code examples and important caveats about its inheritance behavior.
This article presents a curated collection of essential open‑source Java libraries—including logging, JSON parsing, testing, utility, HTTP, XML, Excel, bytecode, database connection pooling, messaging, PDF, date‑time, collections, email, HTML parsing, encryption, embedded databases, JDBC debugging, serialization, networking, and more—to help developers boost productivity and write better code.
This article explains the new EXPLAIN INTO clause introduced in MySQL 8.1 for storing JSON‑formatted EXPLAIN output in a user variable and the EXPLAIN FOR SCHEMA clause added in MySQL 8.2 for running EXPLAIN on other schemas, showing how to extract costs with JSON functions and automate collection with stored procedures.
This guide explains how to build and register a custom Laravel middleware that standardizes API responses by enforcing JSON format, formatting successful and error payloads, and optionally handling JWT authentication errors, improving clarity and developer experience.
This article introduces the Python profig library for converting configuration files between YAML, JSON, and INI formats, providing five practical code examples for interface automation work.
Using Jackson's ObjectMapper for JSON parsing, this article benchmarks three approaches—creating a new mapper per call, sharing a global singleton, and using ThreadLocal—revealing that a single shared ObjectMapper can achieve up to ten times higher throughput, while ThreadLocal offers only modest gains.
This article explains the JSON Pointer syntax, provides encoding rules and practical examples, demonstrates how to extract values from complex JSON structures using Jackson's JsonUtil in Java, and shows how to map nodes to Java beans, offering a concise guide for developers.
This article explains PHP's json_decode() function, detailing its purpose, required and optional parameters, and provides a complete code example that demonstrates decoding a JSON string into an associative array and iterating over its contents.
This article explains the concept of monkey patching in Python, demonstrates how to replace the built‑in json module with the faster ujson library using a simple runtime patch, and shows performance improvements through code examples and timing tests.
This article explains what JSON format is, introduces Python's built‑in json module, and provides step‑by‑step code examples for converting JSON strings to Python objects and serializing Python data structures back to JSON strings.
This guide presents a curated list of essential Java libraries—including testing, JSON, logging, utility, XML, Excel, bytecode, collections, HTML parsing, encryption, embedded databases, serialization, networking, Lombok, and Testcontainers—that can dramatically improve productivity and code quality for backend development.
This article explains how to use Lua scripts for performance testing by providing reusable functions that encapsulate HTTP and HTTPS GET/POST requests, support JSON and FormData payloads, and enable file uploads, complete with full code examples.
This article explains the INI, YAML, and JSON configuration file formats, provides example files for each, and demonstrates how to parse them in Python using configparser, PyYAML, and the built‑in json module, especially for API automation testing.
This article reviews a production incident caused by a simple log statement, reconstructs the scenario with a CountryDTO example, analyzes FastJson's ASM‑based serializer internals, explains which getter/is methods are invoked during serialization, and proposes annotation‑driven coding standards to avoid similar bugs.
This guide walks through creating a dynamic, theme‑switchable big‑screen dashboard using Echarts on the front end and a lightweight Java backend, covering requirements, architecture, configuration, code structure, and how to obtain the source code.
This article analyzes a Java serialization issue caused by FastJSON invoking a getter on a null field, explains the underlying ASM‑based serializer generation, and provides best‑practice code examples and annotations to prevent similar bugs in backend development.
