This guide shows how to install the Resume‑PHP Composer package, create a type‑safe résumé using its builder classes, add work experience, education, and skills, and finally export the data as a formatted JSON file.
This guide walks you through configuring Loguru for dev, test, and prod environments, adding dynamic log levels, colorized console output, file rotation, JSON serialization, remote extensions, and packaging the logger as a reusable Python module.
This guide introduces UltraJSON (ujson), a high‑performance C‑based JSON library for Python, covering why it outperforms the built‑in json module, installation steps, core API usage, advanced features, performance benchmarks, typical use cases, and best‑practice encapsulation for enterprise projects.
Even solo developers should use Git for safe version control, and when handling JSON in Java, Jackson offers the most reliable way to convert strings to objects, with clear examples, field‑mapping tips, and a brief Gson comparison.
This article explains how to achieve consistent date and time formatting in Spring Boot applications by using SimpleDateFormat, configuring Jackson globally with spring.jackson properties, and applying @JsonFormat, @JsonComponent, and @Configuration annotations to handle various Java date types efficiently.
This guide demonstrates using StarRocks Routine Load to ingest JSON and CSV data from Kafka, covering environment setup, table creation, load job configuration with critical parameters like jsonpaths, troubleshooting null-field errors, task management commands, and performance optimization tips for real-time analytics.
This article explains how to handle unknown or dynamic JSON properties in Java using Jackson's @JsonAnySetter to collect them into a Map and @JsonAnyGetter to serialize them back, complete with practical code examples and best‑practice tips.
This article explains how Jackson's @JsonAnySetter and @JsonAnyGetter annotations let Java classes gracefully handle unknown JSON properties by collecting them into a map during deserialization and emitting them as regular fields during serialization, complete with practical code examples and usage tips.
This article explains how to handle JSON objects with unknown or changing fields in Java by using Jackson's @JsonAnySetter to collect them during deserialization and @JsonAnyGetter to serialize them back, complete with code examples, pitfalls, and a concise analogy.
This article explains how Go's concurrent mark‑sweep garbage collector can become a bottleneck in high‑performance scenarios and provides practical techniques—such as using sync.Pool, avoiding unnecessary pointers, pre‑allocating memory, and applying zero‑copy and unsafe tricks—to dramatically lower GC overhead and improve overall program speed.
This guide walks through Go’s most powerful standard library packages—fmt, net/http, sync, encoding/json, context, os/io, testing, time, sort, and reflect—showing practical code examples, advanced tips, and best‑practice recommendations to boost development efficiency and write professional Go code.
This tutorial walks you through creating a compact Python Tkinter GUI that can send GET/POST requests, handle JSON or XML payloads, support Bearer tokens, clean illegal URL characters, and be packaged into a standalone Windows executable using PyInstaller.
The article details a MySQL 5.7 bug where rollback SQL generated for a JSON NOT NULL column produces an empty string instead of NULL, explains the underlying binlog behavior, reproduces the issue with sample tables, and provides a practical workaround by converting the JSON column to TEXT before re‑importing the data, while recommending strict SQL_MODE for production.
The article explains how to retrieve coupon templates linked to a specific product ID in MySQL, compares a simple LIKE‑based fuzzy search with a more accurate multi‑value JSON index approach, and provides step‑by‑step SQL code and performance considerations.
This article explores Jackson's ObjectMapper in Spring Boot 3, covering basic serialization/deserialization, converting between objects, JSON strings, JsonNode, and collections, custom serializers/deserializers, handling unknown fields, and performance tuning with the Afterburner module and JMH benchmarks.
This article explains why naïvely parsing JSON from localStorage often crashes applications, and provides a concise safeJSON wrapper, versioned key strategy, and TypeScript guards to prevent runtime errors and ensure robust frontend data handling.
This guide shows how to configure Jackson in Spring Boot to consistently format LocalDateTime, Date, and String parameters as "yyyy-MM-dd HH:mm:ss", covering global settings via application properties, field-level @JsonFormat, custom serializers/deserializers, and unified handling in REST controllers.
Java serialization, while convenient for persisting objects, suffers from versioning issues, hidden fields, mutable data snapshots, performance overhead, security vulnerabilities, singleton breaches, final field tampering, external dependencies, maintenance burdens, and format limitations, and the article recommends explicit serialVersionUID, custom methods, and JSON/Protobuf alternatives.
When a JSON payload contains unpredictable fields, Jackson’s @JsonAnySetter and @JsonAnyGetter let you capture those dynamic properties into a Map during deserialization and seamlessly emit them during serialization, eliminating the need for rigid POJOs.
This article explains what JSON is, its language‑independent syntax, how to define objects, arrays and nested structures, and demonstrates practical ways to parse and manipulate JSON data using JavaScript and Python code examples.
While JSON.parse() and JSON.stringify() are the default methods for JavaScript data serialization, they can become performance bottlenecks and lack support for special types, so this guide explores their limitations and presents strategies such as reviver functions, streaming parsers, binary formats, Web Workers, and incremental loading to improve deserialization efficiency.
This guide explains how to collect Nginx access logs, convert them to JSON, store them in Loki using Promtail, and visualize the data with Grafana dashboards, including installation of required modules, Docker deployment, and world‑map panel configuration.
This guide introduces JSON Hero, a user‑friendly tool for viewing and editing JSON data, explains how to install it locally with Git and npm, shows how to use the web version, and highlights its multiple viewing modes and sharing features.
This article introduces an open‑source Java JSON framework that uses recursive parsing and reflection to serialize and deserialize objects without third‑party libraries, supports generic and array types, and provides extensible features such as custom annotations, JsonPath, and HTML‑safe output.
Redis 8.0, released on May 1 2025, introduces a major license shift to AGPL‑v3, adds eight native data structures—including vector sets, JSON, and time‑series—enhances the query engine with up to 16× performance gains, improves scalability, security, and cloud‑native support, and provides extensive code examples for AI and real‑time analytics.
This article introduces Python's built‑in json module, explaining how to serialize Python objects to JSON strings and files, deserialize JSON back to Python, and demonstrates common tasks such as pretty‑printing, handling Unicode, working with lists and nested structures, custom encoders, and network responses.
This article explains how to retrieve coupon templates linked to a specific product ID in MySQL, comparing a simple fuzzy‑search approach with a more accurate and performant multi‑value JSON index solution, and provides step‑by‑step SQL code examples.
This article presents 29 concise Python code examples covering common API automation tasks such as JSON conversion, file I/O, dictionary manipulation, request handling, data filtering, encryption, URL encoding, time formatting, exception handling, and regular expressions, each accompanied by clear output and commentary.
This article presents a comprehensive collection of Python code snippets demonstrating how to parse, construct, modify, query, and validate JSON data for common API automation tasks, covering conversion, file I/O, field extraction, merging, sorting, and token handling.
This article explains how to create custom MyBatis TypeHandler classes to automatically convert Java objects—such as JSON strings and enum codes—to appropriate JDBC types, simplifying data persistence in Spring Boot applications and improving code maintainability.
This article explains the hidden pitfalls of using JSON.parse(JSON.stringify) for deep cloning in JavaScript—such as circular references, loss of special types, prototype chain, and collection data—while recommending the native structuredClone API as a more reliable alternative.
This article provides a detailed tutorial on JSON fundamentals and demonstrates how to convert between Java objects, collections, maps, and JSON strings or objects using Alibaba's fastjson library, covering key‑value and array structures, code examples, and practical conversion scenarios.
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 surveys common Java serialization libraries, presents benchmark results on serialized size and speed for twelve implementations across seven primitive types, and offers practical guidance on selecting the most suitable serializer based on payload size, performance, and cross‑language requirements.
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 provides a comprehensive guide to Jackson’s most frequently used annotations, core modules, and extension points in Spring Boot, illustrating each feature with concrete Java code examples that show how to customize serialization, deserialization, property handling, and polymorphic type processing.
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 guide outlines ClickHouse’s various techniques for loading, inferring schemas, designing, exporting, and handling different JSON formats—including NDJSON and advanced modeling—while noting the upcoming native JSON type that will replace the deprecated Object Data 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.
