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Foglight for SQL Server (Cartridge) 5.7.5.50 - User Guide

Introduction to this Guide Using Foglight for SQL Server
Viewing the Databases Dashboard Overview Dashboard Advisories Dashboard Monitoring Data Replication Monitoring SQL Performance Reviewing Memory Usage Reviewing the Instance Activity Reviewing Database Usage Reviewing the Services Using the HADR Drilldown Using the Logs Drilldown Reviewing Configuration Settings Viewing User-defined Performance Counters and Collections
Monitoring Business Intelligence Services Administering Foglight for SQL Server
Configuration Settings Managing Foglight for SQL Server Agent Settings Reviewing Foglight for SQL Server Alarms Generating Reports Monitoring SQL Server instances on VMware servers
Glossary
A
Access methods Adhoc SQL Plans Alarm Alert Allow updates Anonymous subscription Authentication AutoClose AutoGrow Automatic Discovery AutoShrink B Batch BCP (Bulk Copy Program) Blocking Books Online Bound trees Buffer Buffer cache Buffer pull Bulk copy Bulkinsert Bulk load C Cache CAL Calibration Cardinality Cartridge Chart Checkpoint process Client network utility CLR Compile Connect Connection Connectivity software CPU Usage Cursors D Data access components Data file Data storage engine Database Database object DataFlow DBCC DBID DBO Deadlock Disk queue length Disk transfer time Disk utilization DiskPerf Distributing instance Distributor DMO Drilldown DTC DTS E Error log Event alert Execution contexts Extended stored procedures Extent External procedures F File Filegroup File cache Foglight Agent Manager Foglight Management Server Foreign key Forwarded records Free buffers Free list Free pages Free potential Free space Freespace scans Full text search G GAM Ghosted records Growth increment GUID H Hash buckets Hashing Heap Hit rate Hit ratio Host name Host process I I/O Index Indid Integrated security Intent Locks J Job K Kernel memory Kernel mode Kill L Latch Lazy writer Licensing Lightweight pooling Lock Lock area Lock escalation Lock mode Log Log cache Log writer Logical I/O LRU LSN M Master MaxSize MDAC Metric Misc.normalized trees Model Monitor page file N Named pipes Net library NIC Null O OBID Object plans OLAP OLAP service OLTP Optimizer Optimizer cache osql P Page life expectancy Paging Panel Parse Parser Per seat licensing Per server licensing Performance alert Physical I/O Physical read Physical write PID Pinned Plan Plan cache Potential growth Prepared SQL plans Primary key Privileged mode Procedure cache Procedure plans Process Profiler Publication database Publisher Publisher databases Publishing server Pull subscription Pulse Push subscription Q Query plan R RAID Random I/O Read ahead Recompile Referential integrity Relational data engine Replication procedure plans Role Rollback S sa Schema locks Sequential I/O Session Severity SGAM Shared locks Show advanced options SMP Sort, Hash, Index Area SPID Spike Spinner SQL Agent Mail SQL Mail SQL Plans SQL Server Agent SQL Server authentication SQL Server books online Standard deviation Stolen pages Stored procedure Support service SYSADMIN role T TDS TempDB Temporary tables and table variables Threshold Torn page detection Transaction Trigger Trigger plans Truncate Trusted U UMS Unused space User connection area User mode V Virtual log file VLF W Waitfor Windows authentication mode Working set
Reference
SQL PI Repository Cold Backup Procedure SQL Performance Investigator Metrics
Active Time All SQL Agents CPU Usage All SQL Agents Resident Memory Usage Availability Average Physical I/O Operations Average SQL Response Time Backup Recovery Wait Blocked Lock Requests Checkpoint Pages CLR Wait CPU Usage CPU Wait Cursor Synchronization Wait Database Replication Wait Deferred Task Worker Wait Degree of Parallelism Disk Utilization DTC CPU Usage DTC Resident Memory Usage Distributed Transaction Wait Executions Ended Executions Started External Procedures Wait Full Scans Full Text Search CPU Usage Full Text Search Resident Memory Usage Full Text Search Wait Free Buffer Wait Hosted Components Wait IO Bulk Load Wait IO Completion Wait IO Data Page Wait IO Wait Latch Buffer Wait Latch Wait Latch Savepoint Wait Lazy Writes Lock Wait Lock Bulk Update Wait Lock Exclusive Wait Lock Intent Wait Lock Requests Lock Schema Wait Lock Shared Wait Lock Update Wait Lock Wait Log Buffer Wait Log Flushes Log Other Wait Log Synchronization Wait Log Wait Log Write Wait Memory Wait Network IO Wait Network IPC Wait Network Mirror Wait Network Wait Non SQL Server CPU Usage Non SQL Resident Memory Usage OLAP CPU Usage OLAP Resident Memory Usage OLEDB Provider Full Text Wait Other CPU Usage Other Miscellaneous Wait Other Wait Overall CPU Page Life Expectancy Page Splits Parallel Coordination Wait Physical I/O Physical Memory Used Physical Page Reads Physical Page Writes Probe Scans Plan Cache Hit Rate Range Scans Rec Ended Duration Remote Provider Wait Run Queue Length Samples Service Broker Wait Session Logons Session Logoffs SQL Agent CPU Usage SQL Agent Resident Memory Usage SQL Executions SQL Mail CPU Usage SQL Mail Resident Memory Usage SQL Recompilations SQL Response Time SQL Server Background CPU Usage SQL Server Cache Memory SQL Server Connections Memory SQL Server Connections Summary SQL Server Foreground CPU Usage SQL Server Resident Memory Usage SQL Server Swap Memory Usage Synchronous Task Wait Table Lock Escalation Target Instance Memory Total CPU Usage Total Instance Memory Virtual Memory Used
Rules Collections and Metrics

Performance Tree

The performance tree provides iterative (up to three levels) access to any of the key dimensions associated with

Analysis Services activity, based on the OLAP multidimensional model and an instance view of the instance activity. Domain nodes offer a hierarchical view of all types of SSAS activity characteristics. Selecting a dimension from the tree determines what subset of activity is displayed. Iterative drill-downs into domains of interest provides increasingly refined focus and diagnosis.

For example, to begin the investigation by first identifying the most active User, follow the steps described below:

1
Select the Users node, to display the most active users in the selected time range. That is, the users who consumed the highest amount of the selected resource.
2
Select the first user, to focus the entire window on the activity of that user.
3
Identify the most demanding Command that this specific user has executed, by expanding the user node and then selecting the Command dimension node. This displays the most active SQL statements executed by this user.
4
Select a specific Command to focus the entire window on the selected command's activity.
5
Select Client Machines under the selected Command, to view the computers which initiate the command.

In a similar manner, such iterative drilldowns can be carried out into any SSAS dimension of interest, to gain a complete understanding of the causes of its behavior.

The default Analysis Services dimensions are as follows:

•
Commands — The executed MDX, DMX and XMLA commands.
•
Databases — The database context in which the session carried out its operations. A session may switch to numerous databases within its lifetime.
•
Applications — Name of a program that connects to SSAS and executes the Command.
•
Users — Users running the client program.
•
Client Machines — The machines on which the client executable (connected to SQL Server) is running.
•
Command Types — Executed command type (for example, Batch, XMLA, SQL etc).
•
Sessions — Presents the top sessions which consumed the highest active time during the selected time frame.
•
Objects — Displays the top objects that were used by all activities running on the server,their association to other dimensions and the resources they used.

In the Commands dimension there is an option to view information regarding the selected command through the top Commands table top:

•
View Full Text — View full text of the statement\batch selected.

Viewing Historical Metrics

The History section view is divided into two sections that are correlated to each other:

•
Resource consumption charts — This section displays data in five different charts:
•
Workload chart — Displays the instance resource activity over the selected time frame by emphasizing the resources by colors.
•
Breakdown chart — Activity of the instance by second.
•
Resource Breakdown Pie chart — Displays the resource breakdown usage by % of the total instance activity.
•
Overview section — Displays a graphical representation of the metrics highlighted in the Workload related Metrics table.
•
Workload related Metrics — A table that displays a variety of resource consumption metrics which can give an in-depth of the instance activity, each resource holds its default metrics.

Selecting each dimension in the performance tree together with a specific resource effects the data displayed for each Level. For example, by selecting the Lock resource, the Instance view dimension will present only locks related data, the Command dimension will present only the commands that were experiencing locks , Users will show only users that were experiencing locks and so on across all the dimensions and resources.

Viewing Change Tracking

The change tracking tool is an integrated monitoring mechanism. It periodically tracks changes in environments and activity that can potentially influence system performance. Use it to view correlation between occurrences of changes and Analysis Services activity and behavior patterns.

Use the Categories filter mechanism to refine the set of displayed change tracking occurrences. These categories are displayed on the right hand side of the pane and include:

•
MetaData — Report on changes to the Analysis Services server configuration and to the underlying database's schema.
•
System Configuration — Hardware and operating system configuration (for example, disks and network interfaces (NIC), amount of RAM, CPU count, device installations and swap space allocation).
•
User defined — Used for manually documenting user changes that may affect performance. Recording this activity can assist in determining whether a change in performance can be directly associated with this event

BI Administration Settings

To change the administration settings for multiple agents of the same type:
1
Select multiple agents of the same type: Integration, Reporting or Analysis services.
2
On the databases table toolbar, select Settings>Administration.
3
Select a category of settings on the left: Alarms or Connection Details.
A view containing related settings opens. The definitions under the Administration dashboard apply to all of the agents selected before opening the Administration dashboard.
4
Save changes made to the settings before selecting another category of settings.
* 
NOTE: To view the selected agents click the Selected Agents button at the upper right corner of the screen. If the settings vary between the selected agents the fields that contain non-identical values are displayed as empty and marked with an Inconsistent Values icon.
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