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21 articles

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Oct 19, 2022 · Databases

Overview of LSM‑Tree Architecture and Its Use in Modern Databases

LSM‑Tree stores writes in an in‑memory MemTable then flushes ordered SSTables to disk, using Bloom filters and indexes to speed reads, while periodic compactions merge files; modern systems such as LevelDB, HBase, and ClickHouse adopt this design to achieve high write throughput despite slower point and range queries and occasional compaction overhead.

ClickHouseHBaseLSM‑Tree

0 likes · 11 min read

Overview of LSM‑Tree Architecture and Its Use in Modern Databases

FunTester

Jan 4, 2022 · Databases

Practical Uses of LevelDB: Temporary Storage, Hidden Credential Management, Stateful Services, and Historical Data

This article introduces LevelDB, a Google‑open‑source key‑value store, and illustrates four practical use cases—temporary token storage, hidden credential management, stateful Java services, and lightweight historical data archiving, accompanied by Groovy/Java code examples for implementation.

GroovyJavaLevelDB

0 likes · 6 min read

Practical Uses of LevelDB: Temporary Storage, Hidden Credential Management, Stateful Services, and Historical Data

NiuNiu MaTe

Dec 29, 2021 · Databases

Why LSM Tree Powers Modern Key‑Value Stores: Design, Write Path & Compaction

This article explains the fundamentals of Log‑Structured Merge (LSM) Trees, covering their write‑ahead log, memtable, SSTable architecture, compaction processes, read/write optimizations, and popular open‑source implementations such as LevelDB, RocksDB, and GoLevelDB.

LSM‑TreeLevelDBRocksDB

0 likes · 15 min read

Why LSM Tree Powers Modern Key‑Value Stores: Design, Write Path & Compaction

FunTester

Dec 16, 2021 · Databases

Wrapping and Extending the LevelDB Java API with Custom Features

This article demonstrates how to encapsulate the native LevelDB Java API into a reusable class, adds support for integer values and Redis‑like operations such as increment, decrement, append, and cut, and provides complete code examples for the extended functionality.

Code ExampleDatabase WrapperJava

0 likes · 6 min read

Wrapping and Extending the LevelDB Java API with Custom Features

FunTester

Nov 16, 2021 · Databases

Using LevelDB with Java and Go: Basic API Operations

This article introduces LevelDB, a Google‑built key/value store, and demonstrates how to integrate it in Java and Go projects by showing dependency setup, basic operations such as opening, putting, getting, deleting, iterating, and closing the database, and explains the typical use cases and file layout.

APIJavaLevelDB

0 likes · 8 min read

Using LevelDB with Java and Go: Basic API Operations

Python Programming Learning Circle

Sep 18, 2021 · Databases

Python Database Operations: SQLite, MySQL, LMDB, and LevelDB Tutorial

This tutorial walks through setting up Python 2.7 on Ubuntu, then demonstrates how to install, connect to, and perform CRUD operations with four different databases—SQLite, MySQL, LMDB, and LevelDB—showing complete example scripts and summarizing the key differences between relational and key‑value stores.

LMDBLevelDBPython

0 likes · 8 min read

Python Database Operations: SQLite, MySQL, LMDB, and LevelDB Tutorial

Trip Tech Team

Aug 13, 2021 · Fundamentals

Why LevelDB Uses SkipLists: Memtable Mechanics and a Complete SkipListMap Implementation

This article explains the role and data structure of Memtable in LevelDB, introduces the probabilistic SkipList design, analyzes its time and space complexities, and provides a full Java implementation of a SkipListMap with code examples and a brief look at LevelDB's own SkipList implementation.

Data StructureJavaLevelDB

0 likes · 17 min read

Why LevelDB Uses SkipLists: Memtable Mechanics and a Complete SkipListMap Implementation

Trip Tech Team

Aug 12, 2021 · Databases

Unlocking HTAP: Inside TiDB, TiKV, RocksDB, and LevelDB Architecture

This article introduces TiDB’s hybrid transactional‑analytical processing capabilities, explains TiKV’s region‑based storage built on RocksDB, and provides a detailed overview of RocksDB and LevelDB architectures, including their data structures, write‑read flows, and key optimizations for modern distributed database systems.

HTAPKV storageLevelDB

0 likes · 16 min read

Unlocking HTAP: Inside TiDB, TiKV, RocksDB, and LevelDB Architecture

Tencent Cloud Developer

Dec 10, 2020 · Databases

Understanding LevelDB Architecture, Read/Write Flow, and Compaction Process

LevelDB stores data using an in‑memory Memtable that flushes to immutable tables and disk‑based SSTables, writes are logged then batched and applied through a writer queue, reads check Memtable, immutable Memtable, then SSTables, and background compactions merge tables to improve read performance and reclaim space.

Database InternalsLSM‑TreeLevelDB

0 likes · 16 min read

Understanding LevelDB Architecture, Read/Write Flow, and Compaction Process

ITPUB

Sep 25, 2020 · Databases

Why NoSQL Matters: From Basics to LevelDB, RocksDB, and Beyond

The article starts with a job‑interview anecdote and then provides a comprehensive overview of NoSQL, its history, definitions, comparison with MySQL, practical scenarios, and detailed examinations of key NoSQL projects such as LevelDB, RocksDB, SSDB, and Pika, highlighting their architectures and use cases.

Key-ValueLevelDBNoSQL

0 likes · 14 min read

Why NoSQL Matters: From Basics to LevelDB, RocksDB, and Beyond

Tencent Cloud Developer

Sep 9, 2020 · Big Data

Tencent Game Marketing Deduplication Service: Technical Evolution from TDW to ClickHouse

Tencent’s game marketing analysis system “EAS” evolved from inefficient TDW HiveSQL jobs and file‑heavy real‑time pipelines to a scalable ClickHouse‑based deduplication service that processes hundreds of thousands of daily activity counts in sub‑second time, offering fast, reliable, and maintainable participant deduplication for massive marketing campaigns.

ClickHouseLevelDBMPP

0 likes · 10 min read

Tencent Game Marketing Deduplication Service: Technical Evolution from TDW to ClickHouse

Senior Brother's Insights

May 1, 2018 · Blockchain

Why Geth Crashes with a LevelDB Index‑Out‑of‑Range Error and How to Fix It

When running an Ethereum full node, Geth can panic with a runtime error "index out of range" caused by LevelDB's shortenb function exceeding its unit array, especially once the database size reaches terabytes, and a simple code tweak can prevent the crash.

EthereumGoLevelDB

0 likes · 8 min read

Why Geth Crashes with a LevelDB Index‑Out‑of‑Range Error and How to Fix It

MaGe Linux Operations

Dec 21, 2017 · Databases

Master Python Database Operations: SQLite, MySQL, LMDB & LevelDB

This guide walks through installing and using four Python‑compatible databases—SQLite, MySQL, LMDB, and LevelDB—covering environment setup, core APIs, common CRUD patterns, and complete runnable examples to help developers choose and operate each storage engine effectively.

Database tutorialLMDBLevelDB

0 likes · 9 min read

Master Python Database Operations: SQLite, MySQL, LMDB & LevelDB

Taobao Frontend Technology

Jul 6, 2017 · Databases

Understanding LevelDB: Architecture, Interfaces, and New Features

LevelDB, Google's high-performance key‑value store built on LSM trees, uses an in‑memory skip‑list, immutable memtables, and sstable files organized in multi‑level compaction, offering interfaces for creation, reads, writes, snapshots, and new features like fuzzy search and JSON storage, all explained with diagrams.

Database ArchitectureLSM‑TreeLevelDB

0 likes · 11 min read

Understanding LevelDB: Architecture, Interfaces, and New Features

21CTO

Mar 10, 2017 · Big Data

Inside Tencent Analytics: How TA Handles TB‑Scale Real‑Time Web Data

Tencent Analytics (TA) is a free web analytics platform that processes terabytes of daily data in real time, using a custom architecture featuring JavaScript collection, event streaming, in‑memory computation, and NoSQL storage with Redis and LevelDB, offering site owners instant insights and high availability.

Big DataLevelDBReal-time Processing

0 likes · 12 min read

Inside Tencent Analytics: How TA Handles TB‑Scale Real‑Time Web Data

Architecture Digest

Feb 28, 2017 · Big Data

Architecture and Real‑Time Processing Design of Tencent Analytics (TA)

This article explains the architecture, real‑time computation framework, and storage solutions of Tencent Analytics, detailing how massive TB‑level web‑traffic data are collected via JavaScript, processed in memory‑centric streaming components, and stored using Redis and LevelDB to achieve second‑level updates.

Big DataLevelDBNoSQL

0 likes · 13 min read

Architecture and Real‑Time Processing Design of Tencent Analytics (TA)

ITFLY8 Architecture Home

Nov 22, 2016 · Big Data

How Tencent Analytics Achieves TB-Scale Real-Time Data Processing

This article examines Tencent Analytics' architecture, detailing its real-time data collection, in‑memory computation, and NoSQL storage strategies that enable second‑level updates for terabyte‑scale web traffic.

Big DataDistributed SystemsLevelDB

0 likes · 13 min read

How Tencent Analytics Achieves TB-Scale Real-Time Data Processing

dbaplus Community

May 24, 2016 · Databases

Which NoSQL DB Fits Your Node Project? HBase, Redis, MongoDB, Couchbase, LevelDB Compared

This article provides a detailed comparison of five popular NoSQL databases—HBase, Redis, MongoDB, Couchbase, and LevelDB—covering their data models, performance characteristics, CAP classification, Node.js client options, advantages, drawbacks, and ideal use‑cases to help developers choose the right storage solution for a new Node project.

CouchbaseHBaseLevelDB

0 likes · 28 min read

Which NoSQL DB Fits Your Node Project? HBase, Redis, MongoDB, Couchbase, LevelDB Compared

Java High-Performance Architecture

Mar 25, 2016 · Databases

Why SSDB Is Emerging as a High‑Performance Redis Alternative

SSDB is a high‑performance NoSQL database compatible with Redis, offering rich data structures, LevelDB storage for terabyte‑scale data, multi‑language client support, and features like replication and load balancing, positioning it as a viable Redis replacement for large‑scale applications.

LevelDBNoSQLRedis alternative

0 likes · 2 min read

Why SSDB Is Emerging as a High‑Performance Redis Alternative

Architect

Mar 7, 2016 · Backend Development

Understanding Ceph PGLog: Format, Storage Mechanism, and Recovery Process

This article explains Ceph's PGLog structure, how it is serialized into transactions and stored in journals and LevelDB, and how the log participates in the recovery of degraded or failed placement groups during the peering process.

CephLevelDBPGLog

0 likes · 15 min read

Understanding Ceph PGLog: Format, Storage Mechanism, and Recovery Process

Art of Distributed System Architecture Design

Sep 22, 2015 · Databases

An Overview of LevelDB: Design, Features, and Performance

LevelDB, created by Google Fellows Jeff Dean and Sanjay Ghemawat, is a high‑performance C++ key‑value library that provides persistent, ordered storage with snapshots, compression, and atomic batch operations, achieving up to 400,000 random writes and 60,000 random reads per second.

CGoogleLevelDB

0 likes · 3 min read

An Overview of LevelDB: Design, Features, and Performance