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https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#table-of-contents
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SQL & Relation Algebrahttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#sql--relation-algebra
Query Optimizerhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#query-optimizer
Planner Modelshttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#planner-models
Subquery Optimizationhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#subquery-optimization
Join Order Optimizationhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#join-order-optimization
Functional Dependency & Physical Propertieshttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#functional-dependency--physical-properties
Cost Modelhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#cost-model
Statisticshttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#statistics
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Vectorization vs Compilizationhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#vectorization-vs-compilization
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DDLhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#ddl
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Codd's Ruleshttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#codds-rules
Relational Data Modelhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#relational-data-model
Relational Algebrahttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#relational-algebra
ER to Relational Modelhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#er-to-relational-model
SQL - Overviewhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#sql---overview
Transactionhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#transaction
Isolation Levelshttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#isolation-levels
Concurrency Controlhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#concurrency-control
Networkhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#network
Storagehttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#storage
NoSQL Systemshttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#nosql-systems
Buffer Managementhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#buffer-management
Disk IOhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#disk-io
B-Treehttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#b-tree
LSM-Treehttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#lsm-tree
Learned Indexes Structureshttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#learned-indexes-structures
Serializing & RPChttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#serializing--rpc
Data Partitioninghttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#data-partitioning
Replication & Consistencyhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#replication--consistency
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Schedulinghttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#scheduling
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HTAPhttps://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#htap
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Database Systems (15-445/645)https://15445.courses.cs.cmu.edu/fall2023/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Advanced Database Systems (15-721)https://15721.courses.cs.cmu.edu/spring2020/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Introduction to Database Systemshttps://cs186berkeley.net/calendar/
Database System Implementationhttps://web.stanford.edu/class/cs346/2015/
Introduction to Database Systemshttp://www.databaselecture.com/
Let's Build a Simple Databasehttps://cstack.github.io/db_tutorial/
cstackhttps://github.com/cstack
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#books
Database Systems: The Complete Bookhttp://infolab.stanford.edu/~ullman/dscb.html
Designing Data-Intensive Applicationshttp://shop.oreilly.com/product/0636920032175.do
中文翻译https://github.com/Vonng/ddia
Database Internalshttps://www.oreilly.com/library/view/database-internals/9781492040330/
Foundations of Databaseshttp://webdam.inria.fr/Alice/
Readings in Database Systems, 5th Editionhttp://www.redbook.io/
Database Design and Implementation: Second Edition (Data-Centric Systems and Applications)https://www.amazon.com/dp/3030338355
Principles of Distributed Database Systems, 4th edhttps://www.amazon.com/dp/3030262529
Inside SQLitehttps://books.google.com/books/about/Inside_SQLite.html?id=QoxUx8GOjKMC
Architecture of a Database Systemhttps://dsf.berkeley.edu/papers/fntdb07-architecture.pdf
Relational Database Index Design and the Optimizershttps://www.amazon.com/Relational-Optimizers-Lahdenmaki-published-Wiley-Blackwell/dp/B00EKYLFSI
Transactional Information Systems: Theory, Algorithms, and the Practice of Concurrency Controlhttps://www.sciencedirect.com/book/9781558605084/transactional-information-systems
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#talks
Data Structures and Algorithms for Big Databaseshttps://people.csail.mit.edu/bradley/BenderKuszmaul-tutorial-xldb12.pdf
A Journey From A Quick HackTo A High-Reliability Database Enginehttps://www.sqlite.org/talks/wroclaw-20090310.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#blogs
How does a relational database workhttp://coding-geek.com/how-databases-work
The Internals of PostgreSQLhttp://www.interdb.jp/pg/index.html
Books proposehttps://cakebytheoceanluo.github.io/2020/03/10/books/
what is database and its typeshttps://www.scaler.com/topics/dbms/what-is-database/
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#sql--relation-algebra
Database Systems (15-445/645)https://15445.courses.cs.cmu.edu/fall2019/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Course Introduction and the Relational Modelhttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#aug-26-2019
Advanced SQLhttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#aug-28-2019
Introduction to Database Systemshttps://cs186berkeley.net/calendar/
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#query-optimizer
Database Systems (15-445/645)https://15445.courses.cs.cmu.edu/fall2019/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Query Planning & Optimization Ihttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#oct-14-2019
Query Planning & Optimization IIhttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#oct-21-2019
数据库内核杂谈https://www.infoq.cn/theme/46
顾仲贤https://www.infoq.cn/profile/1780661/publish
数据库内核杂谈(七):数据库优化器(上)https://www.infoq.cn/article/GhhQlV10HWLFQjTTxRtA
数据库内核杂谈(八):数据库优化器(下)https://www.infoq.cn/article/JCJyMrGDQHl8osMFQ7ZR
SQL优化器原理 - 查询优化器综述https://yq.aliyun.com/articles/610128
勿烦https://yq.aliyun.com/users/kyni3qcv656rk?spm=a2c4e.11153940.0.0.6adc1a8etfb0vx
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#planner-models
数据库内核杂谈https://www.infoq.cn/theme/46
顾仲贤https://www.infoq.cn/profile/1780661/publish
数据库内核杂谈(九):开源优化器 ORCAhttps://www.infoq.cn/article/5o16eHOZ5zk6FzPSJpT2
SQL 查询优化原理与 Volcano Optimizer 介绍https://zhuanlan.zhihu.com/p/48735419
张茄子https://www.zhihu.com/people/chase-zh
Cascades Optimizerhttps://zhuanlan.zhihu.com/p/73545345
hellocodehttps://www.zhihu.com/people/hellocode-ming
Access Path Selection in a Relational Database Management Systemhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.71.3735&rep=rep1&type=pdf
Query Processing in Main Memory Database Management Systemshttp://15721.courses.cs.cmu.edu/spring2016/papers/p239-lehman.pdf
Query Optimization by Simulated Annealinghttp://ftp.cs.wisc.edu/pub/techreports/1987/TR693.pdf
Grammar-like Functional Rules for Representing Query Optimization Alternativeshttps://people.eecs.berkeley.edu/~brewer/cs262/23-lohman88.pdf
The Volcano Optimizer Generator- Extensibility and Efficient Searchhttps://pdfs.semanticscholar.org/a817/a3e74d1663d9eb35b4baf3161ab16f57df85.pdf
The Cascades Framework for Query Optimizationhttps://pdfs.semanticscholar.org/360e/cdfc79850873162ee4185bed8f334da30031.pdf
An Overview of Query Optimization in Relational Systemshttps://web.stanford.edu/class/cs345d-01/rl/chaudhuri98.pdf
LEO – DB2’s LEarning Optimizerhttp://15721.courses.cs.cmu.edu/spring2016/papers/stillger-vldb2001.pdf
Robust Query Processing through Progressive Optimizationhttps://www.cse.iitb.ac.in/infolab/Data/Courses/CS632/2006/Papers/sigmod04-markl.pdf
Orca: A Modular Query Optimizer Architecture for Big Datahttp://15721.courses.cs.cmu.edu/spring2016/papers/p337-soliman.pdf
Parallelizing Query Optimization on Shared-Nothing Architectureshttp://www.vldb.org/pvldb/vol9/p660-trummer.pdf
The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed databasehttp://www.vldb.org/pvldb/vol9/p1401-chen.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#subquery-optimization
SQL 子查询的优化https://zhuanlan.zhihu.com/p/60380557
Eric Fuhttps://www.zhihu.com/people/fuyufjh
Calcite 子查询处理 - I (RemoveSubQuery)https://zhuanlan.zhihu.com/p/62338250
一只无情的小猫咪https://www.zhihu.com/people/loop_recur
Calcite 子查询处理 - II (Decorrelate)https://zhuanlan.zhihu.com/p/66227661
一只无情的小猫咪https://www.zhihu.com/people/loop_recur
Orthogonal Optimization of Subqueries and Aggregationhttp://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.563.8492&rep=rep1&type=pdf
Enhanced subquery optimizations in Oraclehttps://www.researchgate.net/publication/220538535_Enhanced_Subquery_Optimizations_in_Oracle
Unnesting Arbitrary Querieshttp://www.btw-2015.de/res/proceedings/Hauptband/Wiss/Neumann-Unnesting_Arbitrary_Querie.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#join-order-optimization
Analysis of Two Existing and One New Dynamic Programming Algorithm for the Generation of Optimal Bushy Join Trees without Cross Productshttp://www.vldb.org/conf/2006/p930-moerkotte.pdf
How Good Are Query Optimizers, Really?http://www.vldb.org/pvldb/vol9/p204-leis.pdf
Adaptive Optimization of Very Large Join Querieshttps://db.in.tum.de/~radke/papers/hugejoins.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#functional-dependency--physical-properties
Exploiting Functional Dependence in Query Optimizationhttps://cs.uwaterloo.ca/research/tr/2000/11/CS-2000-11.thesis.pdf
Fundamental Techniques for Order Optimizationhttps://cs.uwaterloo.ca/~gweddell/cs798/p57-simmen.pdf
An Efficient Framework for Order Optimizationhttps://www.researchgate.net/publication/4084912_An_efficient_framework_for_order_optimization
Incorporating Partitioning and Parallel Plans into the SCOPE Optimizerhttp://www.cs.albany.edu/~jhh/courses/readings/zhou10.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#cost-model
Modelling Costs for a MM-DBMShttp://www.eng.uci.edu/faculty/klin/rtdb/LM.ps
Approximation Schemes for Many-Objective Query Optimizationhttps://infoscience.epfl.ch/record/219202/files/p1299-trummer.pdf
Multi-Objective Parametric Query Optimizationhttp://www.vldb.org/pvldb/vol8/p221-trummer.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#statistics
Accurate Estimation of the Number of Tuples Satisfying a Conditionhttps://dl.acm.org/doi/pdf/10.1145/971697.602294
Optimal Histograms for Limiting Worst-Case Error Propagation in the Size of Join Resultshttps://dl.acm.org/doi/pdf/10.1145/169725.169708
Universality of Serial Histogramshttps://pdfs.semanticscholar.org/deeb/d2fa377a41de49e5556ea948191a741faa1e.pdf
Balancing Histogram Optimality and Practicality for Query Result Size Estimationhttps://dl.acm.org/doi/pdf/10.1145/223784.223841
Improved Histograms for Selectivity Estimation of Range Predicateshttps://dl.acm.org/doi/pdf/10.1145/233269.233342
SEEKing the truth about ad hoc join costshttps://dl.acm.org/doi/pdf/10.1007/s007780050043?download=true
Towards Estimation Error Guarantees for Distinct Valueshttps://dl.acm.org/doi/pdf/10.1145/335168.335230
Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reportshttp://vldb.org/conf/2001/P541.pdf
The History of Histogramshttp://www.vldb.org/conf/2003/papers/S02P01.pdf
An Improved Data Stream Summary: The Count-Min Sketch and its Applicationshttp://dimacs.rutgers.edu/~graham/pubs/papers/cm-full.pdf
New Estimation Algorithms for Streaming Data: Count-min Can Do Morehttp://webdocs.cs.ualberta.ca/~drafiei/papers/cmm.pdf
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errorshttps://dl.acm.org/doi/pdf/10.14778/1687627.1687738
Histograms Reloaded: The Merits of Bucket Diversityhttps://dl.acm.org/doi/pdf/10.1145/1807167.1807239
Exploiting Ordered Dictionaries to Efficiently Construct Histograms with Q-Error Guarantees in SAP HANAhttps://dl.acm.org/doi/pdf/10.1145/2588555.2595629
Adaptive Statistics in Oracle 12chttp://www.vldb.org/pvldb/vol10/p1813-zait.pdf
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalitieshttps://dl.acm.org/doi/pdf/10.1145/3299869.3319894
Deep Unsupervised Cardinality Estimationhttp://www.vldb.org/pvldb/vol13/p279-yang.pdf
NeuroCard: One Cardinality Estimator for All Tableshttps://vldb.org/pvldb/vol14/p61-yang.pdf
Synopses for Massive Data: Samples, Histograms, Wavelets, Sketcheshttps://db.cs.berkeley.edu/cs286/papers/synopses-fntdb2012.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#query-execution
Database Systems (15-445/645)https://15445.courses.cs.cmu.edu/fall2019/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Query Execution Ihttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#oct-07-2019
Query Execution IIhttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#oct-09-2019
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#execution-framework
Volcano-An Extensible and Parallel Query Evaluation Systemhttps://paperhub.s3.amazonaws.com/dace52a42c07f7f8348b08dc2b186061.pdf
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Agehttps://15721.courses.cs.cmu.edu/spring2019/papers/14-scheduling/p743-leis.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#vectorization-vs-compilization
Overhead of a Generalized Query Execution Enginehttps://github.com/pivotal/blog/blob/master/content/post/codegen-gpdb-qx.md
The Pivotal Engineering Journalhttps://github.com/pivotal/blog
MonetDB/X100: Hyper-Pipelining Query Executionhttp://cidrdb.org/cidr2005/papers/P19.pdf
Efficiently Compiling Efficient Query Plans for Modern Hardwarehttps://www.vldb.org/pvldb/vol4/p539-neumann.pdf
Relaxed Operator Fusion for In-Memory Databases: Making Compilation, Vectorization, and Prefetching Work Together At Lasthttp://www.vldb.org/pvldb/vol11/p1-menon.pdf
Everything You Always Wanted to Know About Compiled and Vectorized Queries But Were Afraid to Askhttp://www.vldb.org/pvldb/vol11/p2209-kersten.pdf
Adaptive Execution of Compiled Querieshttps://db.in.tum.de/~leis/papers/adaptiveexecution.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#join
Multi-Core, Main-Memory Joins: Sort vs. Hash Revisitedhttp://www.vldb.org/pvldb/vol7/p85-balkesen.pdf
Looking Ahead Makes Query Plans Robusthttp://www.vldb.org/pvldb/vol10/p889-zhu.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#hash-table
Database Systems (15-445/645)https://15445.courses.cs.cmu.edu/fall2019/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Hash Tableshttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#sep-16-2019
Fibonacci Hashing: The Optimization that the World Forgot (or: a Better Alternative to Integer Modulo)https://probablydance.com/2018/06/16/fibonacci-hashing-the-optimization-that-the-world-forgot-or-a-better-alternative-to-integer-modulo/
Malte Skarupkehttps://probablydance.com/
All hash table sizes you will ever needhttps://databasearchitects.blogspot.com/2020/01/all-hash-table-sizes-you-will-ever-need.html
Database Architects - Thomas Neumannhttps://databasearchitects.blogspot.com/
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#bloom-filter
SuRF: Practical Range Query Filtering with Fast Succinct Trieshttps://www.cs.cmu.edu/~pavlo/papers/mod601-zhangA-hm.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#ddl
Online, Asynchronous Schema Change in F1https://research.google.com/pubs/archive/41376.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#relational-model
What is a Relational Database?https://www.calebcurry.com/what-is-a-relational-database/
Caleb Curryhttps://www.calebcurry.com/author/calebcurry_rlrc3d/
What is a Relational Database?https://careerkarma.com/blog/relational-database/
JAMES GALLAGHERhttps://careerkarma.com/blog/author/jamesgallagher/
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#codds-rules
Codd’s Rules for Relational Database Systemshttps://www.oreilly.com/library/view/sql-in-a/9780596155322/ch01s01s01.html
Kevin Klinehttps://en.wikipedia.org/wiki/Kevin_Kline
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#relational-data-model
Relational modelhttps://en.wikipedia.org/wiki/Relational_model
Wikipediahttps://en.wikipedia.org/wiki/Wikipedia
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#relational-algebra
Introduction of Relational Algebra in DBMShttps://www.geeksforgeeks.org/introduction-of-relational-algebra-in-dbms/#:~:text=Relational%20Algebra%20is%20procedural%20query,column%20data%20from%20a%20relation.
GeeksforGeekshttps://www.linkedin.com/company/geeksforgeeks?originalSubdomain=in
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#er-to-relational-model
ER Model to Relational Modelhttps://www.tutorialspoint.com/dbms/er_model_to_relational_model.htm
tutorialspointhttps://www.tutorialspoint.com/index.htm1
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#sql---overview
An Overview of SQL Text Functionshttps://learnsql.com/blog/
Zahin Rahmanhttps://learnsql.com/authors/zahin-rahman/
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#transaction
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#isolation-levels
一致性模型https://www.jianshu.com/p/3673e612cce2
siddontanghttps://www.jianshu.com/u/1yJ3ge
A Critique of ANSI SQL Isolation Levelshttps://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/tr-95-51.pdf
Generalized Isolation Level Definitionshttp://pmg.csail.mit.edu/papers/icde00.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#concurrency-control
Database Systems (15-445/645)https://15445.courses.cs.cmu.edu/fall2019/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Concurrency Control Theoryhttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#oct-23-2019
Two-Phase Locking Concurrency Controlhttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#oct-28-2019
Timestamp Ordering Concurrency Controlhttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#oct-30-2019
Multi-Version Concurrency Controlhttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#nov-04-2019
Advanced Database Systems (15-721)https://15721.courses.cs.cmu.edu/spring2020/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Multi-Version Concurrency Control (Design Decisions)https://15721.courses.cs.cmu.edu/spring2020/schedule.html#jan-22-2020
Multi-Version Concurrency Control (Protocols)https://15721.courses.cs.cmu.edu/spring2020/schedule.html#jan-27-2020
Multi-Version Concurrency Control (Garbage Collection)https://15721.courses.cs.cmu.edu/spring2020/schedule.html#jan-29-2020
The Notions of Consistency and Predicate Locks in a Database Systemhttp://jimgray.azurewebsites.net/papers/on%20the%20notions%20of%20consistency%20and%20predicate%20locks%20in%20a%20database%20system%20cacm.pdf
Concurrency Control in Distributed Database Systemshttps://people.eecs.berkeley.edu/~brewer/cs262/concurrency-distributed-databases.pdf
On Optimistic Methods for Concurrency Controlhttps://www.eecs.harvard.edu/~htk/publication/1981-tods-kung-robinson.pdf
Multiversion Concurrency Control - Theory and Algorithmshttps://sites.fas.harvard.edu/~cs265/papers/bernstein-1983.pdf
Serializable Snapshot Isolation in PostgreSQLhttp://www.vldb.org/pvldb/vol4/p783-jung.pdf
Calvin: Fast Distributed Transactions for Partitioned Database Systemshttp://cs.yale.edu/homes/thomson/publications/calvin-sigmod12.pdf
MaaT: effective and scalable coordination of distributed transactions in the cloudhttp://www.nawab.me/Uploads/MaaT_VLDB2014.pdf
Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Coreshttp://www.vldb.org/pvldb/vol8/p209-yu.pdf
An Evaluation of the Advantages and Disadvantages of Deterministic Database Systemshttp://www.vldb.org/pvldb/vol7/p821-ren.pdf
Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systemshttps://db.in.tum.de/~muehlbau/papers/mvcc.pdf
An Empirical Evaluation of In-Memory Multi-Version Concurrency Controlhttp://www.vldb.org/pvldb/vol10/p781-Wu.pdf
An Evaluation of Distributed Concurrency Controlhttps://www.vldb.org/pvldb/vol10/p553-harding.pdf
Scalable Garbage Collection for In-Memory MVCC Systemshttps://db.in.tum.de/~boettcher/p128-boettcher.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#network
Advanced Database Systems (15-721)https://15721.courses.cs.cmu.edu/spring2020/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Networking Protocolshttps://15721.courses.cs.cmu.edu/spring2020/schedule.html#feb-19-2020
The End of Slow Networks: It's Time for a Redesignhttp://www.vldb.org/pvldb/vol9/p528-binnig.pdf
Accelerating Relational Databases by Leveraging Remote Memory and RDMAhttps://15721.courses.cs.cmu.edu/spring2020/papers/11-networking/li-sigmod2016.pdf
Don't Hold My Data Hostage: A Case for Client Protocol Redesignhttp://www.vldb.org/pvldb/vol10/p1022-muehleisen.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#storage
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#nosql-systems
Bigtable: A Distributed Storage System for Structured Datahttps://static.googleusercontent.com/media/research.google.com/en//archive/bigtable-osdi06.pdf
Dynamo: Amazon’s Highly Available Key-value Storehttps://sites.cs.ucsb.edu/~agrawal/fall2009/dynamo.pdf
PNUTS: Yahoo!’s Hosted Data Serving Platformhttps://sites.cs.ucsb.edu/~agrawal/fall2009/PNUTS.pdf
Cassandra - A Decentralized Structured Storage Systemhttps://www.cs.cornell.edu/projects/ladis2009/papers/lakshman-ladis2009.pdf
PNUTS to Sherpa: Lessons from Yahoo!’s Cloud Database http://www.vldb.org/pvldb/vol12/p2300-cooper.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#buffer-management
Database Systems (15-445/645)https://15445.courses.cs.cmu.edu/fall2019/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Buffer Poolshttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#sep-11-2019
The 5 Minute Rule for Trading Memory for Disc Accesses and the 5 Byte Rule for Trading Memory for CPU Timehttps://www.hpl.hp.com/techreports/tandem/TR-86.1.pdf
The Five Minute Rule 20 Years Later and How Flash Memory Changes the Ruleshttps://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.227.3846&rep=rep1&type=pdf
Managing Non-Volatile Memory in Database Systemshttps://db.in.tum.de/people/sites/vanrenen/papers/HyMem.pdf?lang=de
LeanStore: In-Memory Data Management Beyond Main Memoryhttps://db.in.tum.de/~leis/papers/leanstore.pdf
Umbra: A Disk-Based System with In-Memory Performancehttp://cidrdb.org/cidr2020/papers/p29-neumann-cidr20.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#disk-io
On Disk IO, Part 1: Flavors of IOhttps://medium.com/databasss/on-disk-io-part-1-flavours-of-io-8e1ace1de017
Alexhttps://twitter.com/ifesdjeen
On Disk IO, Part 2: More Flavours of IOhttps://medium.com/databasss/on-disk-io-part-2-more-flavours-of-io-c945db3edb13
Alexhttps://twitter.com/ifesdjeen
On Disk IO, Part 3: LSM Treeshttps://medium.com/databasss/on-disk-io-part-3-lsm-trees-8b2da218496f
Alexhttps://twitter.com/ifesdjeen
On Disk IO, Part 4: B-Trees and RUM Conjecturehttps://medium.com/databasss/on-disk-storage-part-4-b-trees-30791060741
Alexhttps://twitter.com/ifesdjeen
On Disk IO, Part 5: Access Patterns in LSM Treeshttps://medium.com/databasss/on-disk-io-access-patterns-in-lsm-trees-2ba8dffc05f9
Alexhttps://twitter.com/ifesdjeen
Ensuring data reaches disk(LWN)https://lwn.net/Articles/457667/
Read, write & space amplification - pick 2http://smalldatum.blogspot.com/2015/11/read-write-space-amplification-pick-2_23.html
Mark Callaghanhttps://twitter.com/markcallaghandb
Design Tradeoffs of Data Access Methodshttp://scholar.harvard.edu/files/stratos/files/rum-tutorial.pdf?m=1461167186
Designing Access Methods: The RUM Conjecturehttps://stratos.seas.harvard.edu/files/stratos/files/rum.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#b-tree
B树、B+树索引算法原理(上)https://www.codedump.info/post/20200609-btree-1/
codedumphttps://www.codedump.info/
B树、B+树索引算法原理(下)https://www.codedump.info/post/20200615-btree-2/
Database Systems (15-445/645)https://15445.courses.cs.cmu.edu/fall2019/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
Trees Indexes Ihttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#sep-18-2019
Trees Indexes IIhttps://15445.courses.cs.cmu.edu/fall2019/schedule.html#sep-23-2019
Advanced Database Systems (15-721)https://15721.courses.cs.cmu.edu/spring2020/schedule.html
Andy Pavlohttp://www.cs.cmu.edu/~pavlo/
OLTP Indexes (B+Tree Data Structures)https://15721.courses.cs.cmu.edu/spring2020/schedule.html#feb-03-2020
The Ubiquitous B-Treehttp://carlosproal.com/ir/papers/p121-comer.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#lsm-tree
The Log-Structured Merge-Tree (LSM-Tree)https://www.cs.umb.edu/~poneil/lsmtree.pdf
A Comparison of Fractal Trees to Log-Structured Merge (LSM) Treeshttp://www.pandademo.com/wp-content/uploads/2017/12/A-Comparison-of-Fractal-Trees-to-Log-Structured-Merge-LSM-Trees.pdf
WiscKey: Separating Keys from Values in SSD-conscious Storagehttps://www.usenix.org/system/files/conference/fast16/fast16-papers-lu.pdf
LSM-based Storage Techniques: A Surveyhttps://arxiv.org/pdf/1812.07527.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#learned-indexes-structures
The Case for Learned Index Structureshttps://www.cl.cam.ac.uk/~ey204/teaching/ACS/R244_2018_2019/papers/Kraska_SIGMOD_2018.pdf
Learning Multi-dimensional Indexeshttps://arxiv.org/pdf/1912.01668.pdf
XIndex: A Scalable Learned Index for Multicore Data Storagehttps://dl.acm.org/doi/pdf/10.1145/3332466.3374547
RadixSpline: A Single-Pass Learned Indexhttps://dl.acm.org/doi/10.1145/3401071.3401659
Source Codehttps://github.com/learnedsystems/RadixSpline
The PGM-index: a fully-dynamic compressed learned index with provable worst-case boundshttp://www.vldb.org/pvldb/vol13/p1162-ferragina.pdf
Source Codehttps://github.com/gvinciguerra/PGM-index
From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Treeshttp://pages.cs.wisc.edu/~yifann/bourbon-osdi20.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#serializing--rpc
Protocol Buffers Developer Guidehttps://developers.google.com/protocol-buffers/docs/overview
gRPC Documntationhttps://www.grpc.io/docs/quickstart/go/
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#data-partitioning
TiDB Internal (I) - Data Storagehttps://pingcap.com/blog/2017-07-11-tidbinternal1/
Partitioning Behavior of DynamoDBhttps://dzone.com/articles/partitioning-behavior-of-dynamodb
Parth Modihttps://dzone.com/users/3098371/parthmodi.html
Dynamo: Amazon’s Highly Available Key-value Storehttps://www.allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#replication--consistency
Tick or Tock? Keeping Time and Order in Distributed Databaseshttps://dzone.com/articles/tick-or-tock-keeping-time-and-order-in-distributed-1
Liu Tanghttps://dzone.com/users/3186309/siddontang.html
Consistency Tradeoffs in Modern Distributed Database System Designhttp://www.cs.umd.edu/~abadi/papers/abadi-pacelc.pdf
Strong and Efficient Consistency with Consistency-Aware Durability http://pages.cs.wisc.edu/~ag/cad.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#consensus
Distributed consensus revisedhttps://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-935.pdf
Ark: A Real-World Consensus Implementationhttps://arxiv.org/pdf/1407.4765.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#scheduling
Building a Large-scale Distributed Storage System Based on Rafthttps://www.cncf.io/blog/2019/11/04/building-a-large-scale-distributed-storage-system-based-on-raft/
Automated Demand-driven Resource Scaling in Relational Database-as-a-Servicehttp://www.audentia-gestion.fr/MICROSOFT/p883-das.pdf
Autoscaling Tiered Cloud Storage in Annahttps://dl.acm.org/doi/pdf/10.14778/3311880.3311881
Adaptive HTAP through Elastic Resource Schedulinghttps://dl.acm.org/doi/pdf/10.1145/3318464.3389783
MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systemshttp://www.vldb.org/pvldb/vol13/p3573-abebe.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#benchmark--testing
Use go-ycsb to benchmark different databases (1)https://medium.com/@siddontang/use-go-ycsb-to-benchmark-different-databases-8850f6edb3a7
siddontanghttps://medium.com/@siddontang
Chaos Tools and Techniques for Testing the TiDB Distributed NewSQL Databasehttps://dzone.com/articles/chaos-tools-and-techniques-for-testing-the-tidb-di-1
Liu Tanghttps://dzone.com/users/3186309/siddontang.html
Creating Custom Sysbench Scriptshttps://www.percona.com/blog/2019/04/25/creating-custom-sysbench-scripts/
Matthew Boehmhttps://www.percona.com/blog/author/matthew-boehm/
Benchmarking Cloud Serving Systems with YCSBhttps://courses.cs.duke.edu/fall13/compsci590.4/838-CloudPapers/ycsb.pdf
https://patch-diff.githubusercontent.com/DatabaseTech/awesome-database-learning#htap
TiDB: A Raft-based HTAP Databasehttp://www.vldb.org/pvldb/vol13/p3072-huang.pdf
F1 Lightning: HTAP as a Servicehttp://www.vldb.org/pvldb/vol13/p3313-yang.pdf
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