You are reading the article How To Get The Size Of The Tables Of A Mysql Database? updated in December 2023 on the website Bellydancehcm.com. We hope that the information we have shared is helpful to you. If you find the content interesting and meaningful, please share it with your friends and continue to follow and support us for the latest updates. Suggested January 2024 How To Get The Size Of The Tables Of A Mysql Database?
To get the size of the tables of a MySQL database, you can use the “information_schema.tables”.
Here is the syntax to know the size of all tables.
SELECT TABLE_NAME AS `ALLTABLESNAME`, ROUND((DATA_LENGTH + INDEX_LENGTH) / 1024 / 1024) AS `TABLESIZEIN(MB)` FROM information_schema.TABLES WHERE TABLE_SCHEMA = "yourDatabaseName" ORDER BY (DATA_LENGTH + INDEX_LENGTH) ASC;Let us apply the above syntax to get the size of the tables.
Sample Output.
| ALLTABLESNAME | TABLESIZEIN(MB) | | studentrecordwithmyisam | 0 | | querydatedemo | 1 | | rownumberdemo | 0 | | secondtable | 0 | | spacecolumn | 2 | | table1 | 0 | | tbldemotrail | 2 | | tblstudent | 0 | | timestamptodatedemo | 1 | | uniqueconstraintdemo | 0 | | usernameandpassworddemo | 2 | | addingunique | 5 | | bookindexes | 0 | | tblf | 0 | | uniquedemo | 2 | | multipleindexdemo | 0 | | uniquedemo1 | 0 | | foreigntable | 5 | | tabledemo2 | 0 | | foreigntabledemo | 2 | | studentenrollment | 0 | | tabledemo3 | 0 | | duplicatebookindexes | 0 | | clonestudent | 2 | | student | 0 | 26 rows in set (10.29 sec)You're reading How To Get The Size Of The Tables Of A Mysql Database?
How To Get The Most Out Of Steam With Augmented Steam
Steam is a unique case, a strange hybrid of an online game e-shop and a platform for managing and launching your favorite games. And, if you so wish, other media and programs. Valve’s creation has many fans, who used to say they wouldn’t replace it with anything. But that doesn’t mean it is perfect with no room for improvement.
Augmented Steam is an extension for the two most popular browsers, Chrome and Firefox. It wakes up and starts working whenever we visit the Valve store through those browsers, transmutating it behind the scenes. The result is the Steam we all know, but better, friendlier, and in the long run, cheaper.
Some of the useful additions Augmented Steam slaps on Steam are:
Price comparison based on data from many popular online stores
Lowest available price and historically lowest price displayed for each title
Game scores from OpenCritic and MetaCritic on each title’s page
“Ignored” titles being hidden from search results
InstallationAccept your browser’s security warning that Augmented Steam will access your data on the Steam and IsThereAnyDeal sites.
Configuration and usageBefore you start using it, go through all the configuration options of Augmented Steam. To do so, visit the list of add-ons on your browser, and from there, Augmented Steam’s options.
Augmented Steam provides a wide variety of options and parameters that allow you to change the way it operates, select which modifications you’d like it to apply on Steam, and even change the colors it will use to “mark” some titles.
While it’s worth looking at all the options, we find most of the defaults to be adequate for most users. The only things we would – and did – change are:
PRICE: Disable Auto-detect and select desired primary currency
The most important and useful addition shows up when you visit any game’s page. Just below the top slideshow and right above the game’s title, you’ll see the best price for the title as found on other competing sites. Just below this, you’ll see the title’s historically lowest price.
How come that’s useful? In the first case, it’s obvious: If a title has a lower price elsewhere, you can buy it from there. It’s worth noting how many of those alternative-to-Steam stores also offer Steam keys. In such cases, after purchasing a game on a different store and getting a Steam key to go with it, you’ll be able to return to Steam and “activate it” there. The result will be the same as if you originally bought it on Steam.
A “historically low price” might seem more like a tease, a lost opportunity, since it usually shows a drastically lower price than what you’ll have to pay now to get a title.
If you think about it, a low historical price means that the title, if you’re willing to play the long waiting game, can and probably will be available much cheaper, again, sometime in the future – perhaps during the next Steam sale. In other words, if you don’t want the title here and now, your wallet will thank you for waiting.
Leave the mouse pointer hovering above the title price, and you’ll see how it fluctuates between different countries. A dramatic difference in its price in one country can be a good indication that a similar reduction will soon appear elsewhere. Again, in such cases it’s worth playing the waiting game instead of buying the actual game itself.
If you check out the informational panels on the right side of Steam, you’ll see some new entries among the familiar crowd. One of them is a direct link to the game’s page on IsThereAnyDeal, the site from where Augmented Steam pulls its price data. Right after it, in the same info panel, you’ll find links to Steam Database and PCGamingWiki, with the latter being more useful for the majority of people. There you can find information on the title’s compatibility with newer operating systems, and instructions, tips, and tools to help it run at its best.
In the game’s details panel, where you can see if it’s single or multi-player, supports Steam Workshop, etc., you will also see a more vivid notice about any “content protection” used in the title. It was already there, but Augmented Steam makes it pop out more to make sure you don’t miss it in case you want to avoid such “annoyances.”
Protections and Digital Rights Management (DRM) are good for protecting a game creator’s rights on the title but can become a significant problem for everyone who only wants to enjoy a game. Just ask anyone who’s bought Darkspore, only to have its box gathering dust on a shelf since the game is unplayable today, thanks to its online protection not being as “online” anymore. Or try playing any game with the latest (back then) versions of the SafeDisc and TAGES protections on anything newer than Windows XP on a PC without optical drives and prepare for a royal headache.
If a game you want comes with a copy protection you’d rather avoid, you can either forget about it or check if it’s available on GOG. The GOG store has a policy of not carrying any titles with DRM.
In the cases of games re-released through it, their team tries to strip any DRM while offering upgraded compatibility with newer systems.
Apart from the above, you’ll also be able to check at a glance the title’s ratings at MetaCritic, UserScore, and OpenCritic. This is extra useful during shopping spree, when your wallet’s run dry and you barely have enough funds for only one out of two games. The games score on those sites might end up being what helps you choose one over the other.
Similarly useful, the HowLongToBeat info gives a ballpark figure of how much time you’ll have to invest in a game to complete it. If it’s a frantic period in your life, with not much time for gaming, you should probably avoid cases like the Witcher series (over 100 hours each)!
ConclusionAugmented Steam makes lots of small, barely noticeable changes and doesn’t look that of an improvement after you install it and revisit Steam. Soon, though, the features it adds become indispensable, bit by bit, elevating the whole experience of using Steam’s site.
Like most of us who are already using Augmented Steam, you’ll probably appreciate its usefulness only when, after using it for some time and for some reason, you’ll have to browse Steam’s site without it.
Odysseas Kourafalos
OK’s real life started at around 10, when he got his first computer – a Commodore 128. Since then, he’s been melting keycaps by typing 24/7, trying to spread The Word Of Tech to anyone interested enough to listen. Or, rather, read.
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Fabricjs – How To Get The Position Of Image Object With Respect To Origin?
In this tutorial, we are going to learn how to get the position of Image object with respect to origin using FabricJS. We can create an Image object by creating an instance of fabric.Image. Since it is one of the basic elements of FabricJS, we can also easily customize it by applying properties like angle, opacity etc. In order to get the position of Image object with respect to origin, we use the getPointByOrigin method.
Syntax getPointByOrigin(originX: String, originY: String): fabric.Point Parameters
originX − This parameter accepts a String which specifies the horizontal origin. The possible values are ‘left’, ‘center’ or ‘right’.
originY − This parameter accepts a String which denotes the vertical origin. The possible values are ‘top’, ‘center’ or ‘bottom’.
Using getPointByOrigin method ExampleLet’s see a code example to see the logged output when the getPointByOrigin method is used. The getPointByOrigin method returns the coordinates of an object for a user specified origin. In this case, we have used the getCenterPoint method as well so that you can see the real center points of the given Image object. Whereas while using the getPointByOrigin method, we have taken the bottom left point as origin and therefore the logged output is x= 110 and y= 132.
You can open console from dev tools and see that the logged output contains the coordinates
var
canvas
=
new
fabric
.
Canvas
(
“canvas”
)
;
canvas
.
setWidth
(
document
.
body
.
scrollWidth
)
;
canvas
.
setHeight
(
250
)
;
var
imageElement
=
document
.
getElementById
(
“img1”
)
;
var
image
=
new
fabric
.
Image
(
imageElement
,
{
top
:
50
,
left
:
110
,
}
)
;
canvas
.
add
(
image
)
;
console
.
log
(
“The real center point of the object is: “
,
image
.
getCenterPoint
(
)
)
;
console
.
log
(
“The coordinates returned while using getPointByOrigin method are: “
,
image
.
getPointByOrigin
(
“left”
,
“bottom”
)
)
;
Using getPointByOrigin method with different values ExampleIn this example, we have used the getPointByOrigin method to obtain the coordinates of the Image object when the horizontal and vertical center points are ‘right’ and ‘top’. This means the top-right point will be considered as center.
You can open console from dev tools and see that the logged output contains the coordinates
var
canvas
=
new
fabric
.
Canvas
(
“canvas”
)
;
canvas
.
setWidth
(
document
.
body
.
scrollWidth
)
;
canvas
.
setHeight
(
250
)
;
var
imageElement
=
document
.
getElementById
(
“img1”
)
;
var
image
=
new
fabric
.
Image
(
imageElement
,
{
top
:
50
,
left
:
110
,
}
)
;
canvas
.
add
(
image
)
;
console
.
log
(
“The coordinates returned while using getPointByOrigin method are: “
,
image
.
getPointByOrigin
(
“right”
,
“top”
)
)
;
Python Program To Count Inversions Of Size Three In A Given Array
Inversion count is a step counting method by which we can calculate the number of sorting steps taken by a particular array. It is also capable to count the operation time span for an array. But, if we want to sort an array in a reverse manner, the count will be maximum number present in that array.
Array: { 5, 4, 3, 2, 1} Pairs: {5, 4}, {5,3} , {3,2}, {3,1}, {2,1},{4,3}, {4,2}, {4,1},}, {5,2}, {5,1} Output: 10 Array: {1, 2, 3, 4, 5} Pairs: No Pairs Output: 0 Array: {1,5,2,8,3,4} Pairs: {5, 2}, {5, 3}, {5, 4}, {8, 3}, {8, 4} Output: 5The inversion count indicates that how far that particular array is from being sorted in an increasing order. Here are two particular process to describe this situation attached with a solution −
To find the smaller elements: To find out the smaller element from an array, we need to iterate the index from n-1 to 0. By applying (a[i]-1), we can calculate the getSum() here. The process will run until it reach to a[i]-1.
To find the greater number: To find the greater number from an index we need to perform iteration 0 to n-1. For the every element we need to do calculation for every number till a[i]. Subtract it from i. Then we will get a the number which is greater than a[i].
Algorithm to count inversions of size three in an arrayHere in this algorithm; we learn how to count inversions of size three in a given array in a particular programming environment.
Step 1 − Start
Step 3 − Inner loop y=x+1 to N
Step 4 − If element at x is greater than element at y index
Step 5 − Then, increase the invCount++
Step 6 − Print the pair
Step 7 − Terminate
Syntax to count inversions of size three in an array:-C++ Implementation
int getInversions(int * A, int n) { int count = 0; for (int i = 0; i < n; ++i) { for (int j = i + 1; j < n; ++j) { ++count; } } } return count; }Java Implementation
public static int getInversions(int[] A, int n) { int count = 0; for (int i = 0; i < n; i++) { for (int j = i + 1; j < n; j++) { count += 1; } } } return count; }Python Implementation
def getInversions(A, n): count = 0 for i in range(n): for j in range(i + 1, n): count += 1 return count;Here we have mentioned the possible syntaxes to count inversions of size three in a given array. And for this method; Time Complexity is O(N^2), where N is the total size of the array and; Space Complexity:O(1), as no extra space has been used.
Approaches to follow
Approach 1 − Count Inversions of size three in a given array by program to count inversions of size 3
Approach 2 − Better Approach to count inversions of size 3
Approach 3 − Count inversions of size 3 using binary indexed tree
Count Inversions of size three in a given array by program to count inversions of size 3For the simple approach to count inversions of size three, we need to run a loop for all possible value of i, j and k. The time complexity is O(n^3) and O(1) reflects the auxiliary space.
The condition is −
Example 1 def getInvCount(arr): n = len(arr) invcount = 0 for i in range(0,n-1): for j in range(i+1 , n): for k in range(j+1 , n): invcount += 1 return invcount arr = [7 , 16, 2 , 1] print ("Inversion Count after the operation: %d" %(getInvCount(arr))) Output Inversion Count after the operation: 2 Better Approach to count inversions of size 3In this method we will consider the every element of an array as middle element of inversion. It helps to reduce the complexity. For this approach, the time complexity is O(n^2) and auxiliary Space is O(1).
Example 2 def getInvCount(arr, n): invcount = 0 for i in range(1,n-1): small = 0 for j in range(i+1 ,n): small+=1 great = 0; for j in range(i-1,-1,-1): if (arr[i] < arr[j]): great+=1 invcount += great * small return invcount arr = [8, 4, 2, 1] n = len(arr) print("Inversion Count After The Method Run :",getInvCount(arr, n)) Output Inversion Count After The Method Run : 4 Count inversions of size 3 using binary indexed treeIn this method, we count the greater elements and smaller ones too. Then perform the multiply operation greater[] to smaller[] and add it to the final result. Here the time complexity is O(n*log(n)) and auxiliary space denoted as O(n).
Example 3 def getSum( BITree, index): sum = 0 sum += BITree[index] index -= index & (-index) return sum def updateBIT(BITree, n, index, val): while (index <= n): BITree[index] += val index += index & (-index) def getInvCount(arr, n): invcount = 0 maxElement = max(arr) BIT = [0] * (maxElement + 1) for i in range(n - 1, -1, -1): invcount += getSum(BIT, arr[i] - 1) updateBIT(BIT, maxElement, arr[i], 1) return invcount if __name__ =="__main__": arr = [8, 4, 2, 1] n = 4 print("Inversion Count After The Operation Done : ", getInvCount(arr, n)) Output Inversion Count After The Operation Done : 6 ConclusionFrom the above discussion, we have learnt how to count inversions of size three in a given array. Hope with this article and the mentioned codes using the particular language, you have got a broad view about this topic.
11 Tips To Get The Best Out Of Performance Max Campaigns
Performance Max campaigns are the pinnacle of automation in PPC, so it’s no surprise they continue to be a major topic of debate for PPC professionals looking to balance time savings with peak campaign performance.
But their high dependence on AI doesn’t mean these are set-it-and-forget-it campaigns.
Automation can still benefit from the touch of an expert PPC manager. But because they are so different from traditional campaigns, there are unique ways to optimize Performance Max (PMax) campaigns.
PMax optimization broadly falls into three categories:
Setting them up for success.
Monitoring that the AI is driving the right results.
Tweaking the campaigns to further optimize their performance.
Read on to learn how to get the most out of your PMax campaigns by addressing each of these three areas of opportunity.
How To Set Up PMax Campaigns For SuccessLet’s start with what can be done to set up Performance Max campaigns to be successful out of the gate.
Remember that one big risk of automated PPC is that machine learning algorithms can eat up a significant amount of budget during the learning phase, where it establishes what works and what doesn’t.
1. Run It In Addition To Traditional Campaign Types“It’s designed to complement your keyword-based Search campaigns to help you find more converting customers across all of Google’s channels like YouTube, Display, Search, Discover, Gmail, and Maps.”
This approach allows businesses to capitalize on the strengths of each campaign type while mitigating their limitations, resulting in a more balanced and effective promotional effort.
Traditional display campaigns, on the other hand, are excellent at raising brand awareness and reaching audiences across a vast network of websites and apps.
PMax campaigns complement these traditional approaches by utilizing machine learning to optimize ad targeting and placement across multiple Google platforms.
2. Exclude Brand Keywords From Performance MaxOne keyword-targeted search campaign you should always have is a brand campaign.
Then, ask your Google rep to exclude your brand keywords from all PMax campaigns so they don’t cannibalize traffic from your brand campaign.
But because Performance Max’s mission is to generate more conversions, it may actually end up bidding on really expensive brand-adjacent queries.
(Disclosure, I am the co-founder of Optmyzr.)
In a branded search campaign, I can control exactly which traffic to target using positive and negative keywords. But in Performance Max, there is no easy way to manage keywords, so Google may use the really cheap brand traffic to subsidize the much more expensive brand-adjacent traffic.
3. Create Multiple Performance Max Campaigns To Target Different GoalsThe same reasons why you would run more than one campaign in an account without Performance Max apply to why you should consider having multiple PMaxcampaigns.
4. Manage Final URL ExpansionWhen you create a PMax campaign, you tell Google what landing page to send traffic to. But you also get to decide if Google can expand to other landing pages on your domain.
Final URL expansion should be used cautiously.
At the campaign’s onset, consider focusing all your budget on the landing pages you care most about. If the results are good, then expand to more final URLs automatically.
5. Add Audience Signals From The StartAdding audiences to a Performance Max campaign helps enhance the targeting and performance of your marketing efforts.
While PMax campaigns already utilize machine learning to optimize ad targeting, incorporating audience information provides additional context that can further improve the campaign’s efficiency.
Adding audience information enables the machine learning algorithms in PMax campaigns to make more informed decisions when optimizing ad targeting and placements. This can lead to better campaign performance and a higher ROAS.
Advertisers should also attach their own audiences to Performance Max campaigns. For example, by attaching a list of all their existing customers, they can choose to have the PMax campaign prioritize new user acquisition.
Because it is generally harder and more expensive to find new users than to convince existing users to make another purchase, adding this setting can better focus the ad budget on what is most valuable to the business.
How To Monitor Performance Max Campaigns For SuccessEven when campaigns are well set up, monitoring AI is always a smart idea because it can sometimes make questionable decisions.
When I accidentally turned on automatically applied recommendations from Google, I found that my brand keyword ‘optmyzr’ was removed by Google because the AI felt it was redundant to some other keywords in my campaign, particularly some misspellings of our brand name.
I investigated and found the keywords Google preferred delivered fewer conversions and had a higher CPA than the keywords it removed. So not only was AI semantically wrong, but it also made a bad decision for my bottom line.
So let’s look at some ways to monitor Performance Max campaigns.
6. Report Where Your Performance Max Traffic Is Coming FromIf you only look at the overall performance of a PMax campaign, you may be falling into the trap of averages.
Relying solely on averages can be misleading and might not accurately represent the true nature of the underlying data.
Averages can oversimplify complex data, reducing it to a single value that may not capture important nuances or patterns within the dataset, and this can mask the variability or range of values in the dataset, leading to false assumptions about the consistency or homogeneity of the data.
On average, the campaign drives the results you want. But by eliminating some wasteful portions, results could be even better than what you asked for.
Even if the campaign is delivering the desired results, knowing about possible inefficiencies puts you in a better position to address those and tilt the playing field back in your favor.
Tools like Optmyzr make it easy to see where your budget is spent in PMax, and there are also Google Ads scripts that will add this type of clarity to your data.
7. Monitor For CannibalizationBecause PMax campaigns don’t include the traditional search terms reports and only include part of that data in insights, it can be difficult to know when it is cannibalizing the other campaigns you’re running in parallel.
When it comes to standard shopping campaigns and PMax for retail (which replaced Smart Shopping campaigns), the PMax campaign always takes precedence over the traditional shopping campaign. For this reason, it’s important to segment products to avoid overlap.
Regarding keyword cannibalization, Google says if the user’s query is identical to an eligible Search keyword of any match type in your account, the Search campaign will be prioritized over Performance Max.
But if the query is not identical to an eligible Search keyword, the campaign or ad with the highest Ad Rank, which considers creative relevance and performance, will be selected.
And even a keyword that is an identical match may be ineligible due to a variety of factors and still get cannibalized.
The best way to monitor for cannibalization is to monitor campaign volumes and look for shifts. Does an unexpected drop in a search campaign correspond to an increase in traffic to the PMax campaign? If so, dig deeper and use our optimization tip for managing negative keywords that we’ll cover in the next section.
Optimizations For Performance MaxWhile PMax promises to optimize itself on an ongoing basis thanks to AI, there are some proactive ways you can still help the machines deliver better results.
8. Use Account-Level Negative KeywordsUnfortunately, it’s not possible to add negative keywords to a PMax campaign without the help of a Google rep. And even then, they will generally only add negative brand keywords to help prevent cannibalizing a brand campaign.
But PMax campaigns can work with shared negative keyword lists if you email Support and ask them to attach one of your shared negative lists to your PMax campaigns.
From that point forward, you can simply add negative keywords to the shared list, and they will instantly take effect on the PMax campaign that is associated with the shared negative list.
While Google doesn’t share full search term details for PMax the way it does for search campaigns, it will show keyword themes under insights. This is one good source for negative keyword ideas.
You should also leverage data from traditional search campaigns you’re running in parallel to PMax.
So mine your traditional search campaigns for negative keyword ideas, for example, when users search for things like ‘free’ ‘login’, etc., that never convert well. Add these as negative keywords to the shared negative list that is attached to your PMax campaign.
9. Use Account-Level Placement ExclusionsThis is a great starting point to find ideas for placements to exclude.
To exclude placements from PMax, you’ll need to exclude them at the account level, since it’s not possible to add negative placements to individual PMax campaigns. You’ll find this ability under the “Content” section of the Google Ads account.
Just like with negative keyword discovery, consider using your account-wide placement data from all campaigns to find placements to exclude in PMax.
And if you run multiple Google Ads accounts, you can get even better results by finding money-wasting sites and apps in the display network to exclude across all the accounts you manage.
Or when working with a tool provider, they may even be able to help you find negative placement ideas from their own vast network of data.
10. Exclude Non-Performing Geo LocationsEven though PMax uses automated bidding, which doesn’t support geo bid adjustments, you can still leverage geo data in two ways.
You can either exclude locations that don’t drive conversions or use conversion value rules to manipulate the value you report for conversions from different regions so that the bids will get adjusted accordingly.
For example, if you report conversions as soon as someone fills out your lead form, but you know that people in Munich become paying customers at a higher rate than people who fill out the same form from Berlin, you can set a conversion value rule to value conversions from Munich more highly.
This helps automated bidding make the right decisions about what CPC bid will likely have the desired ROAS.
11. Feed Correct Conversion DataAI can only do a good job for your account if you tell it what the goal is.
And the goal should be precise.
It shouldn’t be to get the most conversions possible if your real goal is to drive profits.
Setting up goals correctly can make a huge difference in how well PPC automation will perform.
Updating goals with margin data or with data from your sales team can be a significant effort, and that’s why I’ve listed this as an ongoing optimization strategy rather than an up-front setup task.
Get PMax up and running with the conversions you’ve already been operating with, and then work to constantly enhance that conversion data.
ConclusionWith these 11 tips to optimize your Performance Max campaigns, you can expect better results while also benefiting from the time savings promised by automated campaign types.
There are many more tips I didn’t cover here that you can discover by joining the dialogue online.
And there will be many more tips to come as PPC automation continues to evolve.
More resources:
Featured Image: TippaPatt/Shutterstock
Measuring The Quality Of A Link
Measuring the Quality of a Link
Have a linking campaign in the works but not sure exactly where to begin or how to judge the quality of the links you’re building, or buying? Todd Malincoat dissects the anatomy of quality link building with 6 quality link indicators on the StuntDubl blog:
Getting links is hard work. It’s very difficult to solicit links with no value proposition. It’s difficult to develop a value proposition if you have no sense of what you’re negotiating for. This is one of the key reasons why understanding the value of links is such a critical component to an SEO campaign.
No one likes to hear that placing a value on a link is a “gut feel” skill, but it’s true. You need to repeat the process many times, and understand the shifts in the marketplace.
Here’s how you can test the value of links, anchor text and sites which you are soliciting links from in less than five minutes.
1. By Keyword, Theme, or Industry Value : What is the value of the placement and traffic garnished from that link?
2. PageRank and Link Popularity : How much of a well trafficked authority site is that of which you have in your sights?
3. Outbound linking : In order to get, one has to give a little. Does the site give as much as it receives?
4. Links to the entire domain : How many sites are linking to various pages throughout the domain? And not just their links pages or link baited topics?
5. Where’s the link? Where on the site and within the pages will your link occur? In the body? The sidebar? Or hidden on the bottom? Would a normal web user notice or find the link? If so, chances are it will have more value to something burried behind the bushes.
6. How aged is the site? Anyone with a well mannered upbringing has respect for their elders. Expect the search engine algorithms to follow suit on giving value to links from older, established sites.
Todd has a rundown on the tools, which are all available in the post, The Five Minute Link Value Test at StuntDubl.
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