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JoongHyuk Shin

Database engine developer. Writing about PostgreSQL internals, from source code to what it means for your application.

Location Seoul, Korea Joined Joined on  Email address sjh910805@gmail.com github website
Closing Chapter 1: From Query to Data

Closing Chapter 1: From Query to Data

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1.5.5 Parallel Query: How Worker Processes Cooperate

1.5.5 Parallel Query: How Worker Processes Cooperate

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8 min read
1.5.4 Aggregation: HashAgg, GroupAgg, Sort-Based

1.5.4 Aggregation: HashAgg, GroupAgg, Sort-Based

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7 min read
1.5.3 Join Nodes: NestLoop, HashJoin, MergeJoin

1.5.3 Join Nodes: NestLoop, HashJoin, MergeJoin

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1.5.2 Scan Nodes: SeqScan, IndexScan, BitmapScan

1.5.2 Scan Nodes: SeqScan, IndexScan, BitmapScan

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1.5.1 The Volcano Iterator Model

1.5.1 The Volcano Iterator Model

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1.5 Executor: How Results Come Back

1.5 Executor: How Results Come Back

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1.4.10 Planner Hook: When It Fires, How to Use It

1.4.10 Planner Hook: When It Fires, How to Use It

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1.4.9 Planner Preprocessing: Subquery Pull-up, Predicate Pushdown, Equivalence Classes

1.4.9 Planner Preprocessing: Subquery Pull-up, Predicate Pushdown, Equivalence Classes

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12 min read
1.4.8 Statistics: pg_statistic and Selectivity

1.4.8 Statistics: pg_statistic and Selectivity

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1.4.7 Parallel Cost: When to Go Parallel and How Many Workers

1.4.7 Parallel Cost: When to Go Parallel and How Many Workers

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1.4.6 Aggregate Cost: Choosing HashAgg vs GroupAgg

1.4.6 Aggregate Cost: Choosing HashAgg vs GroupAgg

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1.4.5 Join Order: Dynamic Programming vs GEQO

1.4.5 Join Order: Dynamic Programming vs GEQO

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1.4.4 Join Strategies: Nested Loop, Hash, Merge

1.4.4 Join Strategies: Nested Loop, Hash, Merge

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1.4.3 Cost Model: The Index Scan Formula

1.4.3 Cost Model: The Index Scan Formula

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1.4.2 Cost Model: Sequential Scan Formula

1.4.2 Cost Model: Sequential Scan Formula

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1.4.1 Path Tree vs Plan Tree: What's the Difference

1.4.1 Path Tree vs Plan Tree: What's the Difference

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1.4 Planner: Which Path to Take

1.4 Planner: Which Path to Take

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1.3.4 RETURNING Mapping and View-Target DML Transformation

1.3.4 RETURNING Mapping and View-Target DML Transformation

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1.3.3 INSERT/UPDATE/DELETE Targetlist Normalization (Default Expansion)

1.3.3 INSERT/UPDATE/DELETE Targetlist Normalization (Default Expansion)

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1.3.2 How RLS Rewrites Queries (Mechanism)

1.3.2 How RLS Rewrites Queries (Mechanism)

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1.3.1 Rule System and View Expansion

1.3.1 Rule System and View Expansion

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1.3 Rewriter: How a Query Is Rewritten

1.3 Rewriter: How a Query Is Rewritten

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1.2.3 Query Tree Node Types: Query, RangeTblEntry, TargetEntry

1.2.3 Query Tree Node Types: Query, RangeTblEntry, TargetEntry

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1.2.2 Semantic Analysis: Name Resolution, Type Checking, Catalog Lookup

1.2.2 Semantic Analysis: Name Resolution, Type Checking, Catalog Lookup

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1.2.1 From SQL Text to Raw Parse Tree

1.2.1 From SQL Text to Raw Parse Tree

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1.2 Parser and Analyzer: How SQL Gets Its Meaning

1.2 Parser and Analyzer: How SQL Gets Its Meaning

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1.1.3 The optimizable vs utility fork

1.1.3 The optimizable vs utility fork

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1.1.2 Simple vs Extended

1.1.2 Simple vs Extended

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1.1.1 Life of a Query

1.1.1 Life of a Query

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1.1 Where Does a Query Go?

1.1 Where Does a Query Go?

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