PostgreSQL DBA

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Configuration Parameters

CREATE TABLE orders ( order_id SERIAL PRIMARY KEY, customer_id INTEGER, order_date DATE, order_total NUMERIC ) PARTITION BY RANGE (order_date); CREATE TABLE orders_y2023 PARTITION OF orders FOR VALUES FROM ('2023-01-01') TO ('2024-01-01'); CREATE TABLE orders_y2024 PARTITION OF orders FOR VALUES FROM ('2024-01-01') TO ('2025-01-01'); -- Add an index to each partition CREATE INDEX idx_orders_y2023_customer_id ON orders_y2023 (customer_id); CREATE INDEX idx_orders_y2024_customer_id ON orders_y2024 (customer_id);

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Beyond indexing, several query optimization techniques can significantly improve performance.

Partial indexes index only a subset of the table's rows, based on a condition. This can reduce index size and improve performance when queries frequently filter on that condition.

Statistics: PostgreSQL relies on statistics to estimate the cost of different query plans. Inaccurate statistics can lead to suboptimal plan choices. Regularly update statistics using the ANALYZE command.

Composite indexes index multiple columns. The order of columns in a composite index is important. The most frequently used column in WHERE clauses should come first.

Unused Indexes: Identify and remove unused indexes to reduce write overhead. The pg_stat_all_indexes view provides information about index usage.

Index Bloat: As data is inserted, updated, and deleted, indexes can become fragmented and bloated, leading to performance degradation. Rebuild indexes periodically using the REINDEX command.

Patroni is a widely used solution for managing PostgreSQL high availability. It provides a robust framework for automatic failover, cluster management, and operational simplicity in PostgreSQL environments. https://www.cybertec-postgresql.com/en/patroni-cascading-replication-with-stanby-cluster/

https://patroni.readthedocs.io/en/latest/README.html

Cascading Replication https://www.cybertec-postgresql.com/en/patroni-cascading-replication-with-stanby-cluster/

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Schemas in PostgreSQL and Oracle: what is the difference? https://www.cybertec-postgresql.com/en/schema-postgresql-oracle-difference/

https://stormatics.tech/blogs/the-1-gb-limit-that-breaks-pg_prewarm-at-scale