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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/
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Cascading Replication https://www.cybertec-postgresql.com/en/patroni-cascading-replication-with-stanby-cluster/
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https://stormatics.tech/blogs/the-1-gb-limit-that-breaks-pg_prewarm-at-scale
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Schemas in PostgreSQL and Oracle: what is the difference? https://www.cybertec-postgresql.com/en/schema-postgresql-oracle-difference/
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Configuration Parameters
Configuration Parameters
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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.
Beyond indexing, several query optimization techniques can significantly improve performance.
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Unused Indexes: Identify and remove unused indexes to reduce write overhead. The pg_stat_all_indexes view provides information about index usage.
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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.
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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.
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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.
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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.
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