Oracle PA表结构深度剖析(oracle pa表结构)
Introduction
Oracle Performance Analyzer (PA) is a powerful tool for analyzing the performance of Oracle databases. It provides a rich set of features that enable database administrators and developers to identify and resolve performance-related issues. In this article, we will take a deep dive into the PA table structure and understand how it works.
PA Table Structure
PA collects information about various aspects of database performance and stores it in a set of tables within the database. These tables are structured to provide a comprehensive view of the performance metrics that govern the behavior of the database in different scenarios. Let’s take a closer look at each of these tables.
PA_STAT_NAME
This table contns the names of various statistics that are collected by PA. Each statistic is identified by a unique ID, and the name of the statistic is stored in the column STAT_NAME. This table provides a mapping between the ID and the name of each statistic.
PA_STAT_VALUE
This table stores the values of the statistics collected by PA. Each row in this table corresponds to a single collection of statistics for a given snapshot of database activity. The statistics themselves are stored in columns with names that correspond to their IDs in the PA_STAT_NAME table. For example, the value of the statistic “user commits per second” would be stored in a column named “3229”.
PA_SNAPSHOT
This table contns metadata about the snapshots that are collected by PA. Each snapshot represents a specific point in time when performance metrics were collected. The metadata stored in this table includes the start and end times of the snapshot, as well as other information about the database state, such as the number of active sessions.
PA_SESSION_STATE
This table stores information about the state of each session that was active during a given snapshot. This includes information such as the session ID, the user who initiated the session, the CPU and memory usage of the session, and the number of SQL statements executed by the session.
PA_SQLSTAT
This table stores statistics about the performance of each SQL statement executed during a given snapshot. These statistics include the execution time, CPU and memory usage, and the number of rows processed by the statement.
PA_SEGMENT_STAT
This table stores statistics about the performance of each segment in the database, such as tables and indexes. These statistics include information such as the amount of space used, the number of reads and writes, and the number of locks held.
Conclusion
The PA table structure provides a wealth of information about the performance of Oracle databases. By understanding how this structure is organized, developers and administrators can gn valuable insights into the behavior of their databases and identify performance-related issues quickly and effectively. By combining this knowledge with advanced querying and analysis techniques, users can optimize database performance and ensure that their systems run smoothly and productively.