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Module 8: Server Management. Overview. Server-level and instance-level resources such as memory and processes Database-level resources such as logical and physical storage structures User sessions and their activity Concurrency structures. Managing Memory. Memory is managed at:
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Overview • Server-level and instance-level resources such as memory and processes • Database-level resources such as logical and physical storage structures • User sessions and their activity • Concurrency structures
Managing Memory • Memory is managed at: • Server level – ensure proper memory distribution among database, operating system and applications • Instance level – Oracle allows memory needs to be allocated and managed by the DBA or automatically managed as it is in SQL Server • The size and performance of the memory components are viewed in Oracle using dynamic performance views and OEM • SQL Server performance can be viewed through dynamic management objects, memory related counters using Performance Monitor, SQL Profiler, and various DBCC statements • SQLServer:BufferManager, SQLServer:Cache Manager, SQLServer:MemoryManager
Managing Processes • Oracle background processes can be configured to ensure optimal performance while SQL Server background processes are not configurable (except checkpoint) • Oracle shared server processes are configured using parameters such as DISPATCHER, SHARED_SERVERS, MAX_SHARED_SERVERS, while SQL Server worker threads can be controlled using max worker threads configuration option • In Oracle the number and performance of the processes can be viewed using dynamic performance views and Oracle Enterprise Manager • SQL Server performance can be viewed through dynamic management objects, process related counters (such as Page Faults/sec, Thread Count/sec.) using Performance Monitor, SQL Profiler.
Demonstration 1: Using Profiler to Monitor More In this demonstration you will learn how to: • Choose performance counters • Choose memory counters • Choose deadlock counters • And others
Managing Storage • Tasks in managing database files: • Expanding the data or transaction log space • Shrinking the data and transaction log space • Adding and removing data and transaction log files • SQL Server transaction logs combine the functions of Oracle redo logs and rollback segments • Oracle has multiple fixed-size redo logs which are switched to in cyclic order following a checkpoint. SQL Server transaction logs are variable size and are released after a checkpoint or log backup. • Management of table spaces involves creating, dropping, renaming and changing status • Because SQL Server uses fixed-size extents, their administration does not involve the same tasks as found in Oracle under certain configurations
Managing Sessions and Transactions • In Oracle, data dictionary tables and views are used to relate sessions, transactions and resources • In SQL Server, views, stored procedures, and utilities can be used to provide equivalent data
Locks and Latches • DBMS monitor lock-related waits using data dictionary views and stored procedures • DBMS use latches/mutexto protect internal database structures • Monitor blocking in SQL Server with Blocked Process Threshold • Deadlock Graph Profiler event allows visualizing deadlock information
Demonstration 2: Resolving Deadlock Information In this demonstration you will learn how to: • Create a simple deadlocking event • Execute to see default behavior • Monitor with profile
Review • We learned that server, internal and external database processes, and database are the components that need to be monitored • We learned the types of monitoring cover availability, errors and performance • We saw the operating system tools to check performance to server hardware and operating system components • We learned how the various subcomponents of the database and instance can be monitored using counters and logs • We were introduced to tools for monitoring SQL Server database and server such as Performance Monitor, SQL Server Agent, SQL Profiler, dynamic management views