Dba tools for postgresql
Dba tools for postgresql full#
Adding defined indexes for the table - However, if the table is very small, an index might not be more efficient than a full table scan.Removing trailing edge columns - Since wide indexes (five or more columns) require more storage, they can increase the cost of index maintenance.Identifying overlapping indexes - Examining overlapping indexes can help you determine if any can be removed.Determining whether a foreign key is indexed - Indexing each FK can help improve the performance of queries joining the two tables.Some table tuning best practices you can more easily investigate and help solve for with SolarWinds DPA include: SolarWinds Database Performance Analyzer (DPA) includes a built-in table tuning advisor designed to list violations and recommend next steps. Using a Postgres query tuning tool, you can more easily evaluate whether a table or indexes may not be following PostgreSQL best practices. In addition, to avoid bottlenecks, you can increase throughput by using a separate disk (tablespace) for the database's write-ahead log (WAL) and data. Reconsider how you’re using disks: Data stored to the WAL can lead to slow disks that impact insert performance.Consider denormalizing your data instead. Similarly, when you have an FK constraint, every INSERT will typically then need to read from your referenced table, which can degrade performance.
Avoid using UNIQUE keys and foreign key (FK) constraints: If a UNIQUE constraint is otherwise defined, the insert can necessitate an index lookup to determine if the row already exists, which will adversely impact the speed of your INSERT.Every system is different, so the number of indexes is up to your best judgment. Check your indexes: Look at the number of indexes you’ve defined on your table and determine whether their potential query benefits outweigh the storage and insert overhead.When tuning PostgreSQL, the following are common causes of performance issues and potential opportunities where tuning can help drive significant database performance improvements:
Query tuning: You’ll need to find slow queries and rewrite them using best practices.Troubleshooting and diagnostics: Look at configuration and authentication, as well as resource logs and write-ahead logs, to get more insight into where problems could be occurring.This includes insight into CPU, I/O, memory, network, and other key factors. Monitoring: Tuning starts with gathering information through monitoring, so you can more easily pinpoint impacted resources.Tuning with a PostgreSQL tuning tool can help support your efforts to gain insights more easily with the following features: To effectively optimize performance, database tuning often involves monitoring for deeper visibility into query trends. Due to the amount of data and users it can accommodate, tuning PostgreSQL is critical for ensuring performance. Known for its reliability, feature robustness, and high performance, PostgreSQL is a highly scalable, open-source database management system.