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awesome-database-learning
A list of learning materials to understand databases internals
https://github.com/pingcap/awesome-database-learning
Last synced: 5 days ago
JSON representation
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Recommended Courses, Books and Talks
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Courses
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Books
- Database Systems: The Complete Book
- Designing Data-Intensive Applications
- Database Internals
- Foundations of Databases
- Readings in Database Systems, 5th Edition
- Database Design and Implementation: Second Edition (Data-Centric Systems and Applications)
- Principles of Distributed Database Systems, 4th ed
- Inside SQLite
- Architecture of a Database System
- Relational Database Index Design and the Optimizers
- Transactional Information Systems: Theory, Algorithms, and the Practice of Concurrency Control
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Talks
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Blogs
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Query Optimizer
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Subquery Optimization
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Blogs
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Planner Models
- 数据库内核杂谈（九）：开源优化器 ORCA
- SQL 查询优化原理与 Volcano Optimizer 介绍 - zh)
- Cascades Optimizer - ming)
- Access Path Selection in a Relational Database Management System
- Query Processing in Main Memory Database Management Systems
- Query Optimization by Simulated Annealing
- Grammar-like Functional Rules for Representing Query Optimization Alternatives
- The Volcano Optimizer Generator- Extensibility and Efficient Search
- The Cascades Framework for Query Optimization
- An Overview of Query Optimization in Relational Systems
- LEO – DB2’s LEarning Optimizer
- Robust Query Processing through Progressive Optimization
- Orca: A Modular Query Optimizer Architecture for Big Data
- Parallelizing Query Optimization on Shared-Nothing Architectures
- The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database
- 数据库内核杂谈
- Access Path Selection in a Relational Database Management System
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Join Order Optimization
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Functional Dependency & Physical Properties
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Cost Model
- Approximation Schemes for Many-Objective Query Optimization
- Multi-Objective Parametric Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
- Approximation Schemes for Many-Objective Query Optimization
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Statistics
- Accurate Estimation of the Number of Tuples Satisfying a Condition
- Optimal Histograms for Limiting Worst-Case Error Propagation in the Size of Join Results
- Universality of Serial Histograms
- Balancing Histogram Optimality and Practicality for Query Result Size Estimation
- Improved Histograms for Selectivity Estimation of Range Predicates
- SEEKing the truth about ad hoc join costs
- Towards Estimation Error Guarantees for Distinct Values
- Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports
- The History of Histograms
- An Improved Data Stream Summary: The Count-Min Sketch and its Applications
- New Estimation Algorithms for Streaming Data: Count-min Can Do More
- Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors
- Histograms Reloaded: The Merits of Bucket Diversity
- Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA
- Adaptive Statistics in Oracle 12c
- Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities
- Deep Unsupervised Cardinality Estimation
- NeuroCard: One Cardinality Estimator for All Tables
- Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches
- SEEKing the truth about ad hoc join costs
- Balancing Histogram Optimality and Practicality for Query Result Size Estimation
- Improved Histograms for Selectivity Estimation of Range Predicates
- Towards Estimation Error Guarantees for Distinct Values
- Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors
- Histograms Reloaded: The Merits of Bucket Diversity
- Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANA
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Query Execution
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Execution Framework
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Vectorization vs Compilization
- Overhead of a Generalized Query Execution Engine
- MonetDB/X100: Hyper-Pipelining Query Execution
- Efficiently Compiling Efficient Query Plans for Modern Hardware
- Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Last
- Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Ask
- Adaptive Execution of Compiled Queries
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Join
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Hash Table
- Fibonacci Hashing: The Optimization that the World Forgot (or: a Better Alternative to Integer Modulo)
- All hash table sizes you will ever need - Thomas Neumann](https://databasearchitects.blogspot.com/)
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Bloom Filter
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DDL
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Bloom Filter
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Relational Model
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Bloom Filter
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Relational Data Model
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Relational Algebra
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ER to Relational Model
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SQL - Overview
- An Overview of SQL Text Functions - rahman/)
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Codd's Rules
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Network
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Storage
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NoSQL Systems
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Buffer Management
- The 5 Minute Rule for Trading Memory for Disc Accesses and the 5 Byte Rule for Trading Memory for CPU Time
- The Five Minute Rule 20 Years Later and How Flash Memory Changes the Rules
- Managing Non-Volatile Memory in Database Systems
- LeanStore: In-Memory Data Management Beyond Main Memory
- Umbra: A Disk-Based System with In-Memory Performance
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Disk IO
- On Disk IO, Part 1: Flavors of IO
- On Disk IO, Part 2: More Flavours of IO
- On Disk IO, Part 3: LSM Trees
- On Disk IO, Part 4: B-Trees and RUM Conjecture
- On Disk IO, Part 5: Access Patterns in LSM Trees
- Ensuring data reaches disk(LWN)
- Read, write & space amplification - pick 2
- Design Tradeoffs of Data Access Methods
- Designing Access Methods: The RUM Conjecture
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B-Tree
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LSM-Tree
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Learned Indexes Structures
- The Case for Learned Index Structures
- Learning Multi-dimensional Indexes
- The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds - index), VLDB
- From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees
- XIndex: A Scalable Learned Index for Multicore Data Storage
- RadixSpline: A Single-Pass Learned Index
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Transaction
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Concurrency Control
- Concurrency Control in Distributed Database Systems
- On Optimistic Methods for Concurrency Control
- Multiversion Concurrency Control - Theory and Algorithms
- Serializable Snapshot Isolation in PostgreSQL
- The Notions of Consistency and Predicate Locks in a Database System
- Calvin: Fast Distributed Transactions for Partitioned Database Systems
- MaaT: effective and scalable coordination of distributed transactions in the cloud
- Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores
- An Evaluation of the Advantages and Disadvantages of Deterministic Database Systems
- Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems
- An Empirical Evaluation of In-Memory Multi-Version Concurrency Control
- An Evaluation of Distributed Concurrency Control
- Scalable Garbage Collection for In-Memory MVCC Systems
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Isolation Levels
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Serializing & RPC
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Learned Indexes Structures
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Data Partitioning
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Learned Indexes Structures
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Replication & Consistency
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Consensus
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Learned Indexes Structures
- Distributed consensus revised - Related algorithms, by Heidi Howard
- Ark: A Real-World Consensus Implementation
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Scheduling
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Learned Indexes Structures
- Building a Large-scale Distributed Storage System Based on Raft
- Automated Demand-driven Resource Scaling in Relational Database-as-a-Service
- MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systems
- Autoscaling Tiered Cloud Storage in Anna
- Adaptive HTAP through Elastic Resource Scheduling
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Benchmark & Testing
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HTAP
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Learned Indexes Structures
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TLA+
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Learned Indexes Structures
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Programming Languages
Categories
Sub Categories
Cost Model
35
Learned Indexes Structures
28
Statistics
26
Planner Models
17
Concurrency Control
16
Books
11
Disk IO
9
Blogs
8
Courses
6
Vectorization vs Compilization
6
Subquery Optimization
6
NoSQL Systems
5
Buffer Management
5
Bloom Filter
4
Functional Dependency & Physical Properties
4
LSM-Tree
4
Join Order Optimization
3
Isolation Levels
3
B-Tree
3
Talks
2
Hash Table
2
Execution Framework
2
Join
2
Relational Data Model
1
Codd's Rules
1
SQL - Overview
1
Relational Algebra
1
ER to Relational Model
1
Keywords