To implement recursive queries and hierarchical data optimally in PostgreSQL, you can follow these steps: This query selects all the nodes in the hierarchy, along with their name and level. By following these steps, you […]
In PostgreSQL, the track_activity_query_size parameter determines the maximum size of the SQL query that can be recorded in the pg_stat_activity view. By default, this parameter is set to 1024 bytes, which means that only the […]
In PostgreSQL, the WAL (Write-Ahead Logging) is a critical component of the database system that ensures durability and consistency of data. However, frequent WAL writes can impact the performance of the database, especially if the […]
In PostgreSQL, you can implement “as of” queries using the SQL standard’s temporal query features, which allow you to query a table as it existed at a specific point in time. There are two main […]
The cost of a slow query in PostgreSQL can be estimated by the Query Planner, which uses statistics about the data in the tables being queried to make predictions about the query execution time. The […]
In PostgreSQL, optimizer plan stability is a feature that allows the query planner to reuse a previously cached query plan for a SQL statement instead of generating a new plan. This can improve query performance […]
In PostgreSQL, global indexes are implemented using a shared-nothing architecture, which means that the index data is partitioned and distributed across multiple physical nodes or “shards.” This allows for parallel query processing and improved performance […]
PostgreSQL provides the option of synchronous replication to ensure that transactions are committed on the standby servers before they are acknowledged as being committed on the primary server. This can provide an added level of […]
Materialized views in PostgreSQL are useful when you have frequently used queries that are complex, slow, or involve large amounts of data. In such cases, creating a materialized view can significantly improve query performance. A […]
In PostgreSQL, hard parsing optimization typically takes more time when a query is submitted for the first time or when the database statistics or query planner configuration has changed significantly. This is because hard parsing […]
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