Importing Performance Monitor data into SQL databases

Performance Monitor is an oldie but goldie tool to analyze performance problems. In this article, we will learn how we can write Perfmon counter data to a SQL database through the ODBC connection.

Perfmon is a monitoring tool that helps to track resource usage and system performance metrics in real-time and it also allows us to write counters data into various file types. So that, we can analyze and troubleshoot the hardware and application issues. Perfmon includes various counters and these counters can be used to measure applications or system performances for the different resource types (CPU, Memory, DISK, etc.). However real-time counter monitoring is not a convenient option to figure out the performance issues because this method wastes time and does not help to figure out the big picture. For this reason, we need to collect the counter data for the long-periods and then analyze. Perfmon allows us to store counter data for the following file types:

• Binary file
• Text file (comma-separated)
• Text file (tab-separated)

Along with these file types, we can also write Perfmon counters data to the SQL database. With this option, we can query and analyze the collected counter data more easily with T-SQL. Besides, we can visualize this data with SQL Server Reporting Service (SSRS), Qlikview, or PowerBI.

To write Perfmon counters data into the SQL Server database we need to complete the following two steps.

• Create an ODBC connection
• Create a Data Collector Set

Firstly, we will look at some essential counters that can be used to troubleshoot SQL Server performance problems.

Useful Performance Monitor counters for SQL Server

Perfmon can be very helpful when we are diagnosing or troubleshooting SQL Server problems. The following counters can use to measure the performance of the SQL Server and every counter indicates different resource utilization related to the SQL Server or can indicate problems about the SQL Server

Processors: % Processor Time

This counter is used for tracking the percentage of the total processor utilization that works on non-idle threads. In general, we don’t expect this value to exceed %85. Otherwise, we should suspect a CPU problem.

System: Processor Queue Length

This counter shows the number of the threads that wait in the CPU queue and if this number is greater than two, it indicates a CPU bottleneck.

SQL Server: SQL Statistics\Batch Requests/sec

This counter shows the number of the SQL batches which are being performed per second. This counter is very useful to detect busy and unbusy times of the database server. Thus, we can schedule maintenance tasks in unbusy periods.

SQL Server: SQL Statistics\Compilations/sec

This counter shows the number of T-SQL queries compiled or re-compiled per second before they are executed. We should compare this counter value to the Batch Requests/sec metric to make the right decision. Compilations/sec should be %10 of the Batch Requests/sec or less than.

Network Interface: Bytes Total/Sec

This counter measures the total number of bytes that sent and received over the network adapter. It is a good indicator to analyze the utilization on the network adapter and this metric can be compared to the capacity of the network adapter.

PhysicalDisk: Avg. Disk sec/Transfer

This counter shows the total latency in milliseconds and it can be useful to interpret the performance of the storage systems.

PhysicalDisk: Disk Bytes/sec

This counter shows the total throughput of the disk subsystems in bytes.

Memory: Available Mbytes

This counter shows the amount of physical memory in megabytes that can be used by the operating system immediately for any application or process. On the ideal conditions, this value can be above 300MB.

SQL Server: Buffer Manager\Page Life Expectancy

This counter measures how long the data pages are kept in the buffer pool.

SQL Server: Buffer Manager\Buffer cache hit ratio

This counter measures the percentage of the pages found in the buffer pool.

SQL Server: Buffer Manager\Lazy writes/sec

This counter measures how many times the Lazy Writer process flushes dirty pages to the disk. The ideal value is zero and low values can be acceptable but if this value is greater than 20, we can consider a memory bottleneck.

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Introduction to Structured Query Language SQL pdf

SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.

Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:

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Right now, contrasts are noted where fitting.

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SingleStore: The One Stop Shop For Everything Data

• SingleStore works toward helping businesses embrace digital innovation by operationalising “all data through one platform for all the moments that matter”

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List of Available Database for Current User In SQL Server

Introduction

When working in the SQL Server, we may have to check some other databases other than the current one which we are working. In that scenario we may not be sure that does we have access to those Databases?. In this article we discuss the list of databases that are available for the current logged user in SQL Server

Get the list of database

Conclusion

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Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

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System Databases in SQL Server

Introduction

In SSMS, we many of may noticed System Databases under the Database Folder. But how many of us knows its purpose?. In this article lets discuss about the System Databases in SQL Server.

System Database

Fig. 1 System Databases

There are five system databases, these databases are created while installing SQL Server.

• Master
• Model
• MSDB
• Tempdb
• Resource

Master

• This database contains all the System level Information in SQL Server. The Information in form of Meta data.
• Because of this master database, we are able to access the SQL Server (On premise SQL Server)

Model

• This database is used as a template for new databases.
• Whenever a new database is created, initially a copy of model database is what created as new database.

MSDB

• This database is where a service called SQL Server Agent stores its data.
• SQL server Agent is in charge of automation, which includes entities such as jobs, schedules, and alerts.

TempDB

• The Tempdb is where SQL Server stores temporary data such as work tables, sort space, row versioning information and etc.
• User can create their own version of temporary tables and those are stored in Tempdb.
• But this database is destroyed and recreated every time when we restart the instance of SQL Server.

Resource

• The resource database is a hidden, read only database that holds the definitions of all system objects.
• When we query system object in a database, they appear to reside in the sys schema of the local database, but in actually their definitions reside in the resource db.

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