postgresql partitioning performance

First, the use of explain: PostgreSQL generates a query plan for each query because the performance impact of selecting the correct query path is critical. PostgreSQL itself already contains a planner for finding the optimal plan, and we can view the query plan generated by the planner for each query by using the explain command.The query plan generated in

PostgreSQL Performance Optimization considerations caused by connection to IPVs that consumes cpu resources in particular. bitsCN.com Because it is in the development stage, the postgres parameter is not configured, and the default configuration during installation is used,In the past, nothing was abnormal, but my cpu usage suddenly increased a few days ago.Check the process and find that the CPU usage of o

Tips for improving PostgreSQL Performance In a (poor) PostgreSQL query, only a small change is required (ANY (ARRAY [...]). to ANY (VALUES (...))) the query time can be reduced from 20 s to 0.2 s. From the simplest use of explain analyze, to the use of EXPLAIN s community, there will be a hundred times of learning time investment to return. Use ipvs to monitor sl

statements to reduce the cost of committing a transaction;Use cluster when extracting multiple records from an index;Use limit when extracting part of a record from a query result;Use pre-compiled queries (Prepared query);Use analyze to maintain accurate optimization statistics;Regular use of VACUUM or pg_autovacuumDelete indexes first when making large amounts of data changes (then rebuilding indexes)2, program ExperienceCheck the program, whether the use of connection pool, if not used, as so

PostgreSQL supports hstore to store data such as Key->value, which is in fact similar to array or JSON type. Efficient indexing is essential to the efficient use of this type of data. Let's take a look at the performance issues of two different types of indexes for the same retrieval request today.If we had such an original table. There is a Btree index based on the Str1 field.t_girl=# \d Status_check;

PostgreSQL provides some functions to help improve performance. There are several main aspects. 1. Use the explain command to view the execution plan. In the previous blog PostgreSQL provides some functions to help improve performance. There are several main aspects. 1. Run the EXPLAIN command to view the execution pla

1. Use EXPLAIN:PostgreSQL generates a query plan for each query, because selecting the correct query path has a critical impact on performance. PostgreSQL itself contains a scheduler for optimal planning. We can use the EXPLAIN command to view the scheduler's query plan generated for each query.The query plan generated by PostgreSQL is a planning tree consisting

PostgreSQL Performance Monitoring ToolsHttps://github.com/CloudServer/postgresql-perf-toolsThis package includes three useful scripts aimed to help to pinpoint performance issues on systems with PostgreSQL as data Base backend.All Scritps is written in Python. Requirements:

In a (bad) PostgreSQL query, just a little to change (any (array[...)) to any (VALUES (...)) will be able to reduce the query time from 20s to 0.2s. From the simplest learning to use EXPLAIN analyze, to learn to use the Postgres community a lot of learning time input will have a hundredfold time to return. Using Postgres to monitor slow Postgres queries Earlier this week, a primary key query for the small table (10gb,1500) on our graphics editor had