This document contains information about a session on monitoring Exadata and OEM 13c conducted by Alfredo Krieg from Viscosity. It discusses the architecture and plugins of OEM 13c, discovering and setting up Exadata targets, performance metrics for Storage Cell Servers and Exadata features like SMART IO and flash cache. It also covers tools like cellcli, AWR Exadata metrics and SQL monitoring.

1. Session ID:
Prepared by:
Remember to complete your evaluation for this session within the app!
170
SMART Performance
Monitoring. Exadata & OEM
13c
4/9/2019
Alfredo Krieg
Senior Cloud Performance Architect
Viscosity North America
@alfredokrieg

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12. Alfredo Krieg
• Oracle ACE
• Senior Cloud Performance Architect at Viscosity North America
• Database Performance Tuning, Exadata, OEM and EBS
• Oracle Technologies since 2004
• Blog www.alfredokriegdba.com
• alfredo.krieg@viscosityna.com
@alfredokrieg

13. Disclaimer
• The opinions expressed in this presentation are solely mine, and not that of my
employer.

14. Agenda
• Oracle Enterprise Manager
– Architecture
– Plug-ins
– Discover and Setup
– Performance Metrics
– Systems Infrastructure Plug-in
• Exadata
– SMART IO
– Flash Cache Resource Monitoring
– Cellcli
• Oracle Database
– AWR Exadata Related Metrics
– SQL Monitoring

15. OEM 13c Architecture
• Oracle Management Repository
• Oracle Management Service
• Oracle Management Agent
• Plug-ins
• Java Virtual Machine Diagnostics
• Cloud Control Console

16. OEM 13c Plug-ins
• Default Plug-ins installed with OEM 13.3
– Oracle Database
– Oracle Fusion Middleware
– Oracle Exadata
– Oracle Cloud Framework
– Oracle System Infrastructure
• The plug-in must be deployed on the OMS first then the OMA
• OMS plug-in can be a higher version
– Compatibility issues
– Errors
– Metric Collection Errors

17. Exadata Plug-in
• OEM 13.3 – Exadata Plug-in 13.2.2.0.0
– Exadata Virtualization Provisioning
• Create/delete RAC cluster (VMs, DB, GI, ASM)
• Scale up/down a RAC cluster
– Monitor Exadata Flash Cache Features
– Enhanced Exadata Hardware Management
– Patching Automation Support
• Compute Nodes (Firmware and OS)
• Exadata Storage Cell Servers (Firmware and OS)
• Infiniband Network (Firmware)
• Quarterly Full Stack Patches
– Database
– Infrastructure (Storage Cell Server, Infiniband, PDU)
– ORAchk/EXAchk Integration
– Auto Service Request (ASR) Integration: Faulty Telemetry

18. Exadata Plug-in
• Deployment Pre-reqs
https://docs.oracle.com/cd/cloud-control-13.3/EMXIG/GUID-4BC18291-B6E4-4C96-916F-
332AEFBEF976.htm#EMXIG215

19. Exdata Discovery
• Deploy OMA on compute nodes
• Run Discovery Precheck Script
– From the OEM agent directory
– Doc ID 1473912.1
– Credentials needed cellmonitor SSH, oemuser ILOM , nm2user Infiniband
• From OEM Console -> Setup -> Add Target -> Add Targets Manually

20. Exadata Discovery
• Add Using Guided Process -> Oracle Exadata Database Machine

21. Exadata Discovery
• 13c or 12c?

22. Exadata Discovery
• 13c target type
– Enhanced Monitoring
– Allows Plug-in to monitor Exadata Storage Server and KVM
– Enterprise Manager Systems Infrastructure Plug-in the rest of hardware targets in the rack
• 12c target type
– Exadata Plug-in only monitors all the components
• If you already have an Exadata discovered with 12c target type?
– You can upgrade the target types from the Exadata Home Page

23. Exadata Discovery
• Select the OMA deployed in the first compute node
• Rest of discovery steps
https://docs.oracle.com/cd/cloud-control-13.3/EMXIG/GUID-FF975B0B-0CFE-4D7E-820E-
368960BA2482.htm#EMXIG139

24. Exadata Topology
• DB Machine Schematic and Photo-Realistic

25. Exadata Resource Utilization
• Navigate to Database Machine -> Resource Utilization -> Compute Resources

26. Performance Metrics Storage Cell Server
• Storage Cell Server

27. Performance Metrics Storage Cell Server
• Storage Cell Server

28. Performance Metrics Storage Cell Server
• Storage Cell Server Metrics
– 100+ Metrics available in 15 categories
• Celldisk Statistics
• Cell Offload Efficiency
• Cell Statistics
• Cell Summary
• Consumer Group
• Critical Event
• Database Resource Manager
• Database Statistics
• Filesystem Utilization
• Flashcache Statistics
• Griddisk Statistics
• Interconnect
• LUN Statistics
• Physicaldisk Statistics
• Response Category
– Option to create Metric Extensions
https://docs.oracle.com/cd/E11857_01/em.111/e13105/sage_metrics.htm

29. Enterprise Manager Systems Infrastructure
• Enterprise Manager System Infrastructure Plug-in (13c only)
– Compute Node Schematic – Photo-Realistic Topology
https://docs.oracle.com/cd/cloud-control-13.3/EMSIM/GUID-FA3CEF5C-125B-411D-80D1-
C771BB76728D.htm#EMSIM131

30. Enterprise Manager Systems Infrastructure
• Targets monitored
– Servers
– Storage servers
– Networks
– Racks and power distribution units (PDUs)
– Oracle Solaris and Linux operating systems
– Oracle Solaris Zones
– Oracle VM Server for SPARC and logical domains
– Oracle SuperCluster engineered systems
https://docs.oracle.com/cd/E63000_01/EMADM/discovery_emsi.htm#EMADM155
81

31. SMART IO – Cell Server
• Ability to OFFLOAD processing to the storage servers

32. SMART IO – Cell Server
• SQL operations that benefit from SMART IO
– Smart Scans Predicate Filtering
• Only the rows requested are returned
– Smart Scan Column Filtering
• Only the columns requested are returned
– Smart Scan Join Processing
• Joins are processed in the storage layer. Implemented using Bloom Filters
– Smart Scan Processing of Encrypted Tablespaces and Columns
– Storage Indexing
• Exadata examines Storage Index before any I/O is done
– Offload of Data Mining Model Scoring
• All data mining functions are offloaded
– Other
• Database backups and Tablespace creation

33. SMART IO – Flash Cache
• Flash for Database Objects
– Automated caching mechanism for frequently-accessed data
– DB and Storage Servers communicate and have the visibility of objects need to be cached
– Understand the nature of all I/O operations
– Objects larger than the size of the flash cache – only a portion is cached
– Exadata Smart Flash Cache Compression
• Flash for Database Logging
– Redo logs are multiplexed between disk and flash cache
– Exadata will do parallel write to both and when either of these competes database will be
notified
– Not a permanent store for redo data – just temp to provide fast redo write response time

34. Flash Cache Resource Monitoring
• I/O Utilization (as percentage)
• Hard Drive I/O Time Breakdown (in milliseconds per request)
• Flash I/O Time Breakdown (in milliseconds per request)

35. Cellcli
[rootslcc13cel12 ~]# cellcli -e list griddisk
attributes name,asmmodestatus,asmdeactivationoutcome
DBFS_DG_CD_02_slcc13cel12 ONLINE Yes
DBFS_DG_CD_03_slcc13cel12 ONLINE Yes
DBFS_DG_CD_04_slcc13cel12 ONLINE Yes
DBFS_DG_CD_05_slcc13cel12 ONLINE Yes
DBFS_DG_CD_06_slcc13cel12 ONLINE Yes
DBFS_DG_CD_07_slcc13cel12 ONLINE Yes
DBFS_DG_CD_08_slcc13cel12 ONLINE Yes
DBFS_DG_CD_09_slcc13cel12 ONLINE Yes
DBFS_DG_CD_10_slcc13cel12 ONLINE Yes
DBFS_DG_CD_11_slcc13cel12 ONLINE Yes

36. AWR Exadata Related Metrics

37. AWR Exadata Related Metrics

38. Exadata SMART IO

39. Exadata SMART IO

40. SQL Monitoring

42. Session ID:
Remember to complete your evaluation for this session within the app!
170
alfredo.krieg@viscosityna.com