5 Reasons Why a Hardware Upgrade can Worsen Performance

SQL Server query optimizer tool

After gaining approval to switch to new hardware (at last) and a newer SQL Server version, you start to make preparations. But what will you do if the performance worsens after you finally do the migration?

Hardware upgrades are often preferred over MySQL SQL performance tuning but the transition may not necessarily take place smoothly. In this post, we will consider five of the most common reasons why a hardware upgrade may actually worsen performance, and how to identify these reasons.

Hardware Upgrade Over MySQL SQL Performance Tuning: 5 Things to Check

Using a SQL Server query optimizer tool might not be the best bet here since the hardware has been changed. In such cases, consider the five most common ways given below to troubleshoot this problem:

Check a Few Sys.configurations Settings

The default setting for “max degree of parallelism” is zero in SQL Server. This means all the cores get used by queries that go parallel, so your workload on the new instance may be facing tasks struggling for CPU usage due to this setting.

You can find out if this is the case by comparing all the configurations in sys.configurations between instances and searching for anything that stands out. Some users might accidentally set the lowest memory value for a query.

Investigate for Bottlenecks in Hardware Settings

Certain unexpected situations can lead to a few problems that might not get detected until after hardware upgrading or migration. For instance, the server might not be receiving sufficient power, which can affect CPU operation as well. They become less capable and therefore, show greater utilization when checked in Windows Task Manager.

Identification can be done in two ways:

  1. Keep an eye on the Windows System log. You may find messages related to improperly plugged power sources.
  2. Try running a free tool to gauge the clock speed of the processors and whether all of them are operational. Different from a SQL Server query optimizer tool, you can find one online nevertheless.
Check if Your Processors are on Power Saving Mode

It might not be the sole cause behind greater CPU usage but you can expect it to be one of the elements contributing to the issue, aside from a need for MySQL SQL performance tuning. Fortunately, this is something you can resolve rather quickly, so it’s certainly worth a glance.

This setting can be checked in the BIOS – disable power savings in case it is enabled. However, you may have to confirm the change with the help of a server management tool such as HP System Insight Manager and a planned outage that will give you time to make the desired change in the BIOS and reboot the server.

Check the New SQL Server Version for Stack Dumps

A stack dump, also known as a “15-second error” is responsible for leaving the storage unresponsive for fifteen seconds, followed by increased load.

To check for a stack dump, you will have to open the SQL Server error log and look for errors in the span of some days. You can filter using the terms “15 seconds” or “stack dump” to locate the culprit.

Inspect Factors Outside SQL Server for CPU Usage

Although you may have already looked into this, experts recommend double-checking to ensure the database professional doesn’t miss anything. You may be surprised to see a user testing with the server or using a SQL Server query optimizer tool. They may neglect to inform you – or forget to revert to the original settings. Sometimes, users may forget about previously running tasks while a new instance goes live.

To find out what went wrong, open the Windows Task Manager to take a look at all the processes that are utilizing memory and CPU. There shouldn’t be any agent tasks or scheduled jobs that were absent on the previous server.

Using Free SQL Tools for Windows to Monitor Your Database

MySQL database and SQL

There are several reasons why SQL monitoring is a must, especially for organizational databases. However, you need to understand those reasons to know the importance of regular database maintenance.

SQL tools have a prominent role to play in this, and while some of them may cost money, there are several free SQL tools for Windows to enable successful database monitoring. In this blog, we’ll go through some functions and perks of using such tools.

Benefits and Features of Using Free Tools for Windows

Consider the following advantages of such tools in the management of your database:

  1. Ease of Operation

Monitoring a database involves several complicated tasks that can fill your schedule and keep you from performing other necessary activities. As a database professional, you already have plenty to do, so there may not always be time or resources to get it all done on a regular basis. 

In such cases, you can choose specially designed software to automate a majority of these tasks. Such tools also handle smaller issues on their own (based on the settings you choose). This leaves you more time for the rest while giving you updates at the frequency and priority of your choice. Of course, you will have to figure out an estimate of your organization’s requirements and affordability while considering which tool to use to monitor SQL.

  1. Easier to fix issues

Regardless of how smooth and streamlined a database seems, it is bound to run into a few problems sooner than you think. This is why you not only need to know what kind of problem it is, but you also have to find the cause behind such issues – which can prove to be a challenge.

Monitoring using paid or free SQL tools for Windows means you get better access to information regarding the server’s present condition. This simplifies the process of uncovering faulty processes that are leading to deadlocks and other issues without much effort. You can find what’s going wrong on your own as well. However, these tools make the process much more convenient, giving you more time to troubleshoot a greater number and variety of problems quickly.

  1. Use as per Your Unique Requirements

Although SQL monitoring tools offer a one-size-fits-all solution to users, a majority of DBAs prefer the option to customize their settings and receive alerts according to their preferences. It is an incredible advantage of using such tools because it allows users to adjust their functions as per their specific requirements, making them useful for years to come because your needs can change as time passes.

  1. Remote surveillance is simplified

Optimization in SQL becomes more convenient once users have the ability to keep an eye on database performance and make changes when necessary, regardless of their location. Monitoring tools grant this ability to their users, thanks to their browser-based interface.

Aside from providing remote tasking to professional Database Administrators, numerous tools also enable users to adjust their dashboards as they like for even greater customization. Ultimately, it is up to you to select the right monitoring tools, whether they are free SQL tools for Windows or paid ones for the platform you require. All you need to do is acquire the knowledge and skills needed to make the most of such tools and your database.

5 Chief Oracle SQL Performance Tuning Methodologies

optimization of SQL queries

Nearly every organization in the present era stores its information in separate databases depending on their specifications. Soft copies are given greater preference due to advancements in storage technology, making databases – and their performance – important in the day-to-day operations of an organization.

Therefore, DBAs conduct regular checks and Oracle SQL performance tuning to make sure the database is running the way it should. Performance tuning is done with the help of different methods and tools to maintain maximum efficiency.

5 Major Tools and Methods to Conduct SQL Performance Tuning

Consider these techniques and tools to streamline SQL tuning for your database:

  1. Implement Regular Server Health Check-ups

Optimal server health is essential for good database performance and performance tuning tasks also depend on it, which is why DBAs must perform server health screenings from time to time. You can detect whether server health is ideal or if there are slowdowns using Dynamic Management Views or DMVs.

  1. Assess Statement-related Statistics Simultaneously

Since Oracle SQL query tuning impacts real-time tasks, it is recommended to track the same in real-time to determine the source of slowdowns more quickly.

Live Query Statistics can help you in this regard: it shows statistics of all the statements that are running at that instant to enable the analysis of every step. Such a tool proves useful in troubleshooting SQL performance tuning related problems.

  1. Examine Execution Plans

DBAs use the Execution Plan tool to find out all the data retrieval techniques selected by the SQL Server query optimizer. All they have to do is choose the “Include Actual Execution Plan” before they execute the SQL statement they wish to optimize.

Once the Execution Plan tab shows up, you can determine whether there are any missing indexes by right-clicking and selecting the “Missing Index Details” option. Doing it will create the missing index and improve database performance.

  1. Determine Performance Impact of Transact-SQL Queries

Certain tools such as Database Engine Tuning Advisor can provide multiple benefits during Oracle database and SQL tuning. These include the analysis of the impact on performance and suggesting changes to be made on the basis of such observations.

  1. Observe Resource Consumption

DBAs can enhance database performance dramatically by keeping an eye on resource consumption and ensuring maximum productivity. There are certain parameters you can monitor such as buffer manager page requests with the help of System Monitor.

As its name suggests, it informs about the resources being utilized (Monitor Resource Usage) through predefined objects, counters that gather the counts and rates instead of event-related information. This tool also provides alert notifications when you want to set thresholds of the counts mentioned above.

To Conclude

Database Administrators can conveniently work on improving SQL database performance to a large extent using Oracle SQL performance tuning. This will help them lower the response time by taking the steps necessary to enhance throughput upon identification of all the areas that have been impacted.

The tips explained above mention some of the best SQL performance tuning tools to take care of some of the major tasks related to tuning. These are especially useful for large databases as they play an important role in boosting overall productivity.

Optimization in SQL: Answering 4 Commonly-Asked Questions

optimization of sql queries

A SQL query or statement is tasked with fetching the required information from the database. While the same output can be gained from different statements, they are likely to work at different performance levels.

The difference in performance output makes a lot of difference because a millisecond of lapse in query execution can result in huge losses for the organization. This makes it extremely necessary to ensure the best statement is being used, which is where optimization in SQL is considered.

#1: What is Query Optimization in Databases?

Query optimization in databases is the general process of picking out the most efficient way of obtaining data from the database i.e. carrying out the best query for a given requirement. Since SQL is nonprocedural, it can be processed, merged, and reorganized as seen fit by the optimizer and the database.

The database enhances each query on the basis of various statistics gathered about the information fetched from it. On the other hand, the optimizer selects the optimal plan for a query after assessing different access techniques including index and full-table scans. Various join methods and orders are also used along with certain probable transformations.

#2: What is Query Cost in Optimization?

Query cost is a metric that helps examine execution plans and determine the optimal one. Depending on the SQL statement and the environment, the optimizer sets an estimated numerical cost for every step throughout potential plans and considers an aggregate to derive the overall cost estimate for it.

The total query cost of a query is the sum of the costs incurred at every step in it. Since query cost is a comparative estimate of the resources needed to carry out every step of an execution plan, it doesn’t have any unit. The optimizer picks out the plan with the least cost projection once it has completed all its calculations of all the available plans.

#3: Is Query Cost the Best Way to Judge Performance?

In a word: No. Why? Although query cost proves useful in comprehending the manner in which a specific query is optimized, we must bear in mind its main goal: helping the optimizer select decent execution plans.

It does not offer a direct measure of parameters such as CPU, IO, memory, duration that are significant to users waiting for a statement to finish running. In other words, a low query cost won’t necessarily mean the plan is optimal or the query in question is the quickest. Similarly, a high query cost can prove more efficient in comparison, which is why it is not recommended to depend too much on query cost when considering performance.

Being a CPU-intensive operation query optimization in SQL takes a lot of resources to determine the best plan among the ones present. Time also needs to be factored in here as the user may not always have the time it may take for this entire process to take place. 

Therefore, the resources required to optimize a statement, those required to run the statement, and the time it takes for all of this to be done with shouldn’t exceed each other. 

#4: How Can We Optimize a SQL Query?

Query optimization often needs extra resources, such as the addition of indexes. However, we can boost query performance by simply rewriting a statement to decrease resource consumption without further expenses.

This lets us save significant resources, money, and time (if a query optimization tool is used). Through query optimization in SQL, we can focus on specific areas that are causing latency instead of examining the entire procedure. In such cases, looking for sections that are taking up more resources will help us narrow down the search and fix issues more quickly.

MySQL SQL Performance Tuning: 8 Great Monitoring Practices

MySQL SQL performance tuning

DBAs don’t mind getting the attention of the management, as long as it’s for a positive reason. I mean once in a while, but not all the time; many would still prefer to remain off-radar, quietly ensuring the organization’s databases stay running without a hitch.

Since they have significant accountability in an organization, it is essential for them to beware of all the things that could go south. They can do this by following certain excellent practices for monitoring and MySQL SQL performance tuning, which we will explain in this post.

Best MySQL Database and SQL Monitoring Practices

With these practices, you can avoid being recognized by management for the database outage that took four days to fix, instead of your people skills.

  1. Conduct Regular Health Checks of Your Database

A database administrator knows how important it is to schedule regular health checks for their database. Note that every database has its own maintenance requirements, and that the health checks should be geared toward particular functional needs.

Databases that are non-critical do not require as frequent checks as mission-critical or life-critical databases. A local bookshop’s customer rewarding app failing isn’t as severe as the failure of a missile defense system, for instance.

  • Monitor MySQL Availability

This is perhaps the most essential metric to follow, since the unavailability of the database won’t leave much choice, nor will the other metrics matter until this particular issue is resolved. Use the Run dialog to check availability. You need to type in “ -mysqladmin -h 192.168.1.95 -u root -p” to do so, and initiate diagnostics in case there’s a problem.

  • Check for Unsuccessful Connections & Error Logs

Monitoring the list of unsuccessful connections can slowly but surely help you identify both malicious activity and errors that aren’t as serious (caused by human error like incorrect id\password or misapplied permissions), in the application.

You are likely to get a broader picture in this manner, which will enable you to recognize larger recurring problems so that you can address them appropriately. You can keep track of failed connections by running the following command –

SHOW GLOBAL STATUS LIKE ‘aborted_connects’;

– to know the number of aborted connection attempts on the database in a provided time range.

  • Identify Deadlocks in InnoDB

In MySQL database and SQL, a deadlock takes place when multiple transactions put a lock on a resource required by another transaction. Deadlocks lead to retarded processing, increased timeouts – and unhappy users. Using the query “SHOW ENGINE INNODB STATUS;” will help you find deadlocks and fix them.

  • Observe Configuration Changes

An abrupt decline in performance can be the result of any number of causes. However, checking for any recent configuration changes can help you spot any adversely affecting ones and save you a considerable amount of time.

  • Keep an Eye On the Slow Queries Log

Queries that are slow make the database operate slower as well. This is due to an increase in CPU and memory usage. Assess the Slow Queries log from time to time to know if any queries are taking excessive time to run. You can then proceed towards identifying the root cause and resolving it. 

  • Maintain Visibility to Comprehend the Main Reason Behind Performance Issues

Although regular health checks are important for MySQL SQL performance tuning from the perspective of maintaining high availability, they are not as useful in terms of overall system troubleshooting.

This is because periodic performance concerns may not appear during a routine health check, which is also why a consistent visibility must be established with the MySQL environment.

The quicker you can uncover and fix performance related problems, the fewer the users that will be affected, since downtime will be considerably decreased. 

Setting alerts for critical occurrences can give you the chance to react as quickly as possible, in case a threshold is surpassed. You may set alert thresholds for these typical performance deterioration sources, at least –

  • Substantial deviations from baseline metrics, in terms of performance tuning in SQL MySQL
  • Excessive CPU utilization
  • Query latency
  • Query faults
  • Connection restraints
  • Buffer pool usage
  • Identify and Resolve Performance Issues Quickly

A database monitoring and MySQL SQL performance tuning tool is going to be the best option in nearly every case, so that issues are resolved before they grow into bigger problems.

There are plenty of performance tuning and monitoring tools on the market that come with a broad range of features at varying price ranges. Choosing the right one for your database will depend on your budget and requirements.

As long as you know what to look for in a performance tuning tool, you won’t have many issues in making your selection. Given below are a few features you should consider if you want a tool to perform SQL tuning for MySQL –

  • Scalability
  • Mobile tracking
  • Intuitive User Interface
  • Affordable yet feature-filled
  • Zero connection limitations
  • Different analysis variations, such as
    • Multidimensional workload analysis
    • Alarm source analysis
    • Blocking analysis
  • Smart alarms
  • Historical data monitoring

SQL Performance Tuning: Frequent Questions about Indexes

SQL performance tuning

A database is a piece of software operating on a computer, which means it is dependent and likely to face the same limitations as other software present on that computer. In other words, it will only be able to process as much data as the hardware can handle.

One of the best ways to speed up queries is to perform SQL performance tuning. In this post, we will answer some of the most frequent questions involving databases and indexes.

What is Indexing in SQL Query Optimization?

Indexing is one of the first things you may have come across while learning the ropes of your database. It is a wonderful tool that enables users to enhance the efficiency of their database. However, bear in mind that not every database requires indexing, and not all indexes are helpful in SQL performance tuning.

Let’s learn more about indexing: what it is and how it helps in enhancing database performance.

How do Indexes Affect SQL Query Performance?

An Index can locate data swiftly without having to go through each row in the table. This saves plenty of time! 

Certain data columns are required before you can create an index. These are –

  • The Search Key which holds a duplicate of the primary key
  • The Data Reference which has a set of pointers

All of these constitute the structure of one index. To understand how an index works, let us take an example. Suppose you need to look for a bit of data in your database. Rather than scour every line yourself, you make the computer search each row till it locates the information. Remember that the search is bound to take much longer if the requisite information is located at the end. Fortunately, you have the option to sort alphabetically to shorten the length of such queries.

What are the Types of Database Indexes?

Database indexes are of two kinds –

Clustered indexes – These arrange data using the primary key. The reason behind using a clustered index is to make sure the primary key is saved in ascending order. This is the same order in which the table stores memory.

A clustered index is automatically created when the primary key is set, which helps in SQL tuning for Oracle in the long run as well.

Non-clustered indexes – A non-clustered index is a data structure that boosts data fetching speed. It is different from clustered indexes, as they are made by data analysts or developers.

When and How Should We Use Indexes?

Since indexes are intended to accelerate database performance, you should apply them whenever you think they can simplify the use of the database. Although smaller databases may not have several opportunities to use indexes, they are likely to see the benefits of indexing as they grow into larger databases. 

You can make sure your indexes keep performing well, if you test run a set of queries on your database first. Clock the time those queries take to execute and begin creating your indexes after that. Keep rerunning these ‘tests’ for continuous improvements.

Conclusion

Indexing has its challenges, the biggest one being determining the best ones for every table.

For instance, heaps require clustered indexes because searching for a record in a heap table is comparable to finding a needle in a haystack: it’s inefficient and time-consuming, thanks to the heap’s unordered structure.

On the other hand, locating data is simpler and faster from a table that contains a proper clustered index, just like finding a name in a list that’s alphabetically ordered. DBAs, therefore, recommend that every SQL table contains a proper clustered index. Now that you know how indexes work and how they can optimize database performance, you should be able to use them to reduce query times substantially. If you would like more tips on how to use indexing, or you need a SQL query optimization tool for your database, let our experts know!

Improve SQL Queries & Database for Better Efficiency: Part 2

This is the second blog in our two-part series to explain the best ways to optimize your database, which is best done by enhancing the SQL queries being used. Without much ado, let’s pick up where we left off –

Give Preference to WHERE, instead of HAVING (when defining filters)

A query is efficient when it saves resources by fetching only what’s needed from the database. According to the Order of Operations defined in SQL, WHERE queries are calculated before HAVING statements.

Therefore, it is advisable to give preference to WHERE over HAVING when the goal is to filter a query on the basis of conditions for greater efficiency. 

For instance, let us suppose a hundred sales have been made during the year 2019, and a user wishes to put in a query to determine what the number of sales was for the same time period. They may write something like this:

SELECT Clients.ClientID, Clients.Name, Count(Sales.SalesID)

FROM Clients

   INNER JOIN Sales

   ON Clients.ClientID = Sales.ClientID

GROUP BY Clients.ClientID, Clients.Name

HAVING Sales.LastSaleDate BETWEEN #1/1/2019# AND #12/31/2019#

This statement would return at least a thousand sales records from the Sales table, then filter these thousand records to find the hundred records generated in the year 2019, and lastly, tally the data in the dataset.

If we compare the above with the same instance using the WHERE clause instead, there is a limit placed on the number of records fetched:

SELECT Clients.ClientID, Clients.Name, Count(Sales.SalesID)

FROM Clients

  INNER JOIN Sales

  ON Clients.ClientID = Sales.CustomerID

WHERE Sales.LastSaleDate BETWEEN #1/1/2019# AND #12/31/2019#

GROUP BY Clients.ClientID, Clients.Name

This statement would return the hundred records from the year 2019, after which it would count the records in the dataset, thereby getting rid of the first step in the HAVING clause.

Keep wildcards strictly at the end of a statement

A wildcard creates the largest search possible when looking for plaintext information like names or designations. However, the wider a search, the less efficient it is, and a leading wildcard worsen the performance – particularly when it’s used with an ending wildcard.

That’s because the database has to find every single record that remotely matches the selected field. Take this query to fetch cities beginning with ‘Ch’, for instance:

SELECT Cities FROM Clients

WHERE Cities LIKE ‘%Ch%’

This statement will not just fetch the expected results of Chicago, Chester, and Chelsea, but will also return unintended results, like Richardson, Canal Winchester, and Cannon Beach.

A more productive statement would be:

SELECT Cities FROM Clients

WHERE Cities LIKE ‘Ch%’

This query will lead only to the expected results of Chicago, Chester, and Chelsea.

Use LIMIT to sample query results

The use of a LIMIT query will make sure the results of new SQL queries are relevant and desirable. As the name suggests, its function is to limit the quantity of records to the number mentioned, saving a lot of resources in the process.

Considering the 2019 sales query from above, let us suppose a limit of 15 records:

SELECT Clients.ClientID, Clients.Name, Count(Sales.SalesID)

FROM Clients

  INNER JOIN Sales

  ON Clients.ClientID = Sales.ClientID

WHERE Sales.LastSaleDate BETWEEN #1/1/2019# AND #12/31/2019#

GROUP BY Clients.ClientID, Clients.Name

LIMIT 15

The results will indicate if the data set is worth using or not.

Adjust Your Timing a Bit

If you’re looking to minimize the impact of your analytical queries on the production database, consult with an Oracle Database Administrator regarding the scheduling of your SQL queries so that they can be run during off-peak hours.

Specific hours when there are fewest concurrent users, generally in the middle of the night, should be chosen to run such resource consuming queries. If your SQL queries are more likely to include the following criteria, consider running it during off-peak timings:

  • Selecting from huge tables (where there are over a million records)
  • Queries with Cartesian or Cross Joins
  • Looping queries
  • SELECT DISTINCT queries
  • Subqueries that are nested
  • Search queries involving wildcards in long text or memo areas
  • Numerous schema statements

Query with Confidence!

Keeping these and other SQL tips into consideration will certainly enable you to construct efficient, smart queries that will operate swiftly and fetch your team the game-changing insights it needs.

Improve SQL Queries & Database for Better Efficiency: Part 1

SQL is probably the most popular and powerful means to handle data, but sometimes you need actionable advice to unleash its power and make the most of such a robust language.

In case you’re operating in the absence of a data warehouse or a segregated analytical database for assessment, you may be able to gain updated information only from the live production database.

However, optimization and tuning are very important while writing queries for an Oracle database, especially a production database. In this two-part series, we will cover eight of the most useful ways to supercharge your database by enhancing the SQL queries used.

Make Tuning Your SQL Queries Easy Using these Tips

Consider the following ways to improve the performance of your database –

Clarify the organization’s requirements first

There are certain practices that benefit not just the users optimizing SQL queries but also the organization in general, such as:

  • Determining relevant stakeholders
  • Concentrate on business implications
  • Structuralize the discussion for the ideal specifications
  • Ask the right questions (Who? What? Where? When? Why?)
  • Make the requirements as specific as possible, and confirm those with the stakeholders.

Limit the scope of the SELECT query

A majority of SQL professionals have a bad habit of using SELECT * as a shorthand and end up fetching all available information from a table. If the table in question has numerous rows and fields, this takes up a lot of Oracle database and SQL resources by returning plenty of unrequired data.

The use of the SELECT statement must be done in a way that makes the database fetch only the data required to fulfill the business requirements. Consider the following instance, where the organization’s requirements request postal addresses for clients –

The query SELECT * from Clients is inefficient as it might bring in other information also fed in the client table that isn’t needed here. Instead, a query like this would only fetch the data necessary as per the requirements.

SELECT Name, Address, City, State, Zip

FROM Clients

Refrain from Using SELECT DISTINCT

Eliminating redundant information from a query is easy with SELECT DISTINCT, which GROUPs certain fields in the statement to return distinct results. Achieving this goal, however, requires substantial processing power. Moreover, the grouping of data may not be accurate, which is why you must avoid using this ‘trick’ altogether.

Take this example, for instance –

SELECT DISTINCT Name, City, State

FROM Clients

This statement doesn’t account for several people in the same city or state having the same name. Common names like John or Jane will be grouped together, leading to an incorrect quantity of records. Bigger databases that contain numerous Johns and Janes will not benefit from this query.

In its place, try to use something like this –

SELECT Name, Address, City, State, Zip

FROM Customers

By increasing the fields, unique records will be fetched without the use of SELECT DISTINCT. The database also wouldn’t have to cluster any fields, and the result set would be accurate.

Use INNER JOIN to Make a Join, not WHERE

Some SQL professionals choose WHERE clauses for joining, like in the example below –

SELECT Clients.ClientID, Clients.Name, Sales.LastSaleDate

FROM Clients, Sales

WHERE Clients.ClientID = Sales.ClientID

This kind of join creates a Cartesian Join, also known as Cross Join or a Cartesian Product. It involves the creation of every potential combination of the variables. If we suppose the table in the above example contains a thousand clients with a thousand total sales, the statement would generate a million results in the first go, after which it would filter those results to fetch records where ClientID is correctly joined.

It’s an unnecessary waste of database resources since the database ends up doing over a hundred times more work than is actually needed. Moreover, Cartesian Joins are particularly cumbersome in large-scale databases because it is likely to fetch billions or trillions of results.

Therefore, it becomes essential to use something like an INNER JOIN instead, in order to avoid the creation of a Cartesian Join –

SELECT Clients.ClientID, Clients.Name, Sales.LastSaleDate

FROM Clients

   INNER JOIN Sales

   ON Clients.ClientID = Sales.ClientID

In this case, the database would only fetch a thousand records where ClientID matches. Certain DBMSs identify WHERE joins and run them as INNER JOINs on their own accord, which is why they won’t show any change in performance between a WHERE and INNER JOIN. 

What Optimization in SQL is, and Why It’s Necessary for DBAs

SQL statements or queries are designed to retrieve information from the database. A user can achieve the same results through optimization in SQL; using a tuned query is especially useful from an execution perspective. 

Tuning a database is a vital step in organizing and accessing the information in a database. Performance tuning in SQL requires streamlining and homogenizing the environment of a database and the files in it. This simplifies the way users access data in a big way. 

Why Companies Need to Consider Optimization in SQL

Several organizations own databases, but not all of them hire IT staff knowledgeable in the ways of optimization in SQL. Only professionals who have tuning skills and experience along with insider information about the working of databases should do this. 

In case your company has a database but it hasn’t undergone performance tuning, you might encounter inadequate responses to queries and face unnecessary complications when handling data. Don’t let your efficiency get affected because of something avoidable like this! 

Performance Tuning in SQL: What It Involves

Tasks related to performance tuning include optimization in SQL database, creating and managing indexes, and other related tasks to maintain or improve database performance. The goal of MySQL query optimization is to increase the speed and brevity of query responses and to simplify data retrieval. 

Let’s look at three major reasons why companies need to take performance tuning and seriously – 

1. To enhance the rate of data fetching options

If your database lacks optimization, then fetching data can get slower with increasing data loads. Optimizing queries enables users to create indexes and eradicate issues that may be slowing down data retrieval. After all, it can get quite frustrating for your employees to wait for the database to perform its operations, which can pass on to customers forced to wait for the same.

2. To refrain from coding loops

Making your database go through a coding loop is akin to hammering it repeatedly. That’s because the same query is executed several times when it is placed in a loop. However, once you remove the query from the loop, you will experience a definite surge in performance because the query is run only once rather than going through multiple iterations. 

3. To increase the performance of your SQL statements 

Query tuning in SQL includes changing previous query patterns and habits that were affecting the speed of data storage and retrieval. For example, the use of SELECT is reduced by opting for separate column declaration and eliminating correlated subqueries. Queries are also simplified by obviating temporary tables at times, aside from many other techniques of optimization in SQL

Your database will be able to manage much more data after the application of all these improvements as these will increase its efficiency, making it scalable as well. Once your database has scalability, it also overcomes lower performance and ensures user satisfaction in terms of experience. 
If you require professional tools to manage MySQL query optimization and tuning, then Tosska can help you. Tosska provides highly intuitive tools that can simplify query tuning beyond your imagination, and it does this with the help of innovative AI technologies. Contact us today to learn more about our range of query optimization products and services.

Improve Performance of SQL Query with these Great Techniques

SQL performance tuning can be an extremely complicated task, especially where data in huge quantities is concerned. When implementing queries to insert data in large quantities, even the tiniest of changes can have a major impact on performance – for better or for worse. 

If you are new to databases, you may be wondering what SQL performance tuning is and how you can use it with sound knowledge of the fundamentals and a few tricks up your sleeve. In this blog, you will find some fundamental techniques for SQL tuning to improve performance of SQL query being entered in the database. 

Techniques to Improve the Performance of SQL Queries

Consider these five tips and techniques to enhance database performance – 

Indexing

Indexes are quite effective in SQL tuning but are often overlooked at the time of development. Basically, an index is a data structure that can boost data retrieval speeds in tables by supplying quick random lookups and prompt access to requested records. This implies that once you have made an index, selecting, SQL performance monitoring, and sorting operations are faster. 

They are also useful in defining a primary key that will prevent other columns from having the same values. Naturally, database indexing is a vast topic that deserves its own set of blogs, but for now, it is important to understand that the aim is to index the larger columns intended for searching and ordering.

  • Keep in mind, however, that indexes must be modified after INSERT, UPDATE, and DELETE operations, which means they could actually worsen the performance of the database if your tables are receiving a large number of these commands. 
  • Furthermore, Database Administrators usually discard their indexes before executing gigantic batch inserts involving millions of rows, to hasten the insertion process. Once the task is complete, they then create the indexes all over again. It is important to remember, in such cases, that when the indexes are dropped in this manner, it affects all the queries being executed in that table. Hence, to improve performance of SQL query, this approach is typically taken in certain situations that require a single sizable insertion.

Execution Plan Tool in SQL Server

This tool helps create indexes and it shows all the data retrieval techniques selected by the query optimizer. There are walkthroughs available that will help newcomers learn more about this tool.

  • If you are using the SQL Server Management Studio, you can fetch the execution plan by pressing on Ctrl+M to select the “Include Actual Execution Plan” option before executing your query. This leads to a third tab named “Execution Plan” that will show any missing indexes that it has detected.

Steer Clear of Coding Loops

Suppose you need to insert a thousand queries in your database in one go. In that case, you may be tempted to do it using a loop but you must, in fact, refrain from doing so. 

  • Instead, consider changing the snippets containing the loop in unique INSERT or UPDATE statements that have additional rows and values. 
  • Make sure that your WHERE clause avoids updating the stored value if it matches the existing value. Such a trivial optimization can dramatically improve performance of SQL query by updating only hundreds of rows instead of thousands.

Checking Whether a Record Exists 

This is a handy SQL optimization approach that concerns the use of EXISTS(). 

  • In case you want to know if a certain record is present in the database, make a preference for EXISTS() instead of COUNT(). That’s because EXISTS() can give you much better performance with more coherent code as it leaves the table the moment it gets the data it needs. On the other hand, COUNT() scans the whole table every single time, counting up each and every entry that matches your condition.