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Course Outline
1. Understanding PostgreSQL Query Planner
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Query execution plans, Query Planner algorithms (classic, genetic)
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Analysing query execution plans (data access methods, join methods)
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Controlling plan selection (configuration parameters, pg_hint_plan)
2. Query Planner Statistics
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Execution plan cost estimation
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Default statistics model
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ANALYZE operation, extended statistics
3. Using Indexes
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B-tree indexes (single column, composite, function-based, partial)
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Hash indexes
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BRIN indexes
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GiST, GIN indexes
4. Using Advanced Table Structures
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Partitioned tables
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Unlogged tables
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Temporary tables
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Materialised views
5. Using Cache Memory
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Buffer Cache
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Work Memory
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Maintenance Work Memory
6. Parallel Query
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Architecture
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Configuration parameters
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Analysing parallelised query execution plans
7. Workload and Performance Monitoring
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Logging slow queries
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Using auto_explain extension
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Using pg_stat_statements extension
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Cumulative Statistics
8. Benchmarking with PgBench
Requirements
- Completion of PostgreSQL Server Administration or equivalent knowledge
- Working experience with SQL and PostgreSQL operations
Audience
Database Administrators, DevOps Engineers, and Developers responsible for tuning and maintaining PostgreSQL in production environments.
14 Hours
Testimonials (2)
advance topics hands on + discussion like timescaleDB and hypertable , trainer's knowledge on the subject :)
Shivam - Paessler LLC
Course - PostgreSQL Fundamentals
I genuinely enjoyed the trainer Subject Knowledge.
