mysql – Altering a huge table consumes all disk space

I am running MySQL 8 on Ubuntu 19. I have a table that is 543G and I have to add a new column and index. I started with the new column:

alter table hugeTable add column newCol tinyint(1) after existingColumn;

After a few hours of execution, I received an error, approximately:

... table 'hugeTable' is full

I was looking around and I didn't see anything that was bad; I still had approximately 294G of disk space left. Looking at the error log, it became clear what happened: it is generating a #sql file that is still growing. I started again to get an idea of ​​how fast it grows and in just one hour it exceeds 35G:

-rw-r----- 1 mysql mysql  35G Nov 19 21:53 '#sql-ib1124-819861495.ibd'

And growing rapidly.

So, the real question is, is there any way to avoid this? I have a backup copy of this table, so it's okay to risk deactivating it and running the update without undoing, #sql, etc. Or, will I have to use sed to modify the backup file and use it?

Macos – Mac Os Catalina Ping Huge

In addition to enabling QOS on your network, I think you have shown that your Internet entry / exit cannot accommodate the amount of traffic requested by your Mac. A great source of traffic could be the iCloud data that is cached locally:

You can delve into everything the Mac is doing by opening the Activity Monitor: select the network and observe the volume and count of received and sent packets. For 30 to 300 seconds, you should have a good idea whether or not you can exit programs that request more data than the router can support.

Also, check with your ISP / router support team. There is quality of service and other elements that can prevent buffer accumulation and allow ping / ICMP traffic not to be affected by large downloads. You do not have to change anything on the Mac to keep the ping times exactly where you want, only most people and routers will allow any device to take the entire network, in order of arrival. I could change that on the network side.

How to get external links when we have a huge site of more than 10k pages?

How to get external links when we have a huge site of more than 10k pages?

sql server: what is the best course of action to optimize a huge highly transactional and highly analytical database?

If I have a database with hundreds of billions of records in my larger table, and I have already indexed and consulted as much as possible, is there anything else that can be done besides partitioning and launching hardware?

Would this be a candidate for a different database management system? If so, which one makes sense in this case? (NewSQL maybe?)

The real world case is that the table has already been intelligently divided about 500 times. Even so, there are still between one billion and tens of billions of records per table now. The data is already being archived as much as possible (live data is only the last years of data and everything is necessary). Tables are written in almost every second. A multitude of adhoc and repeatable queries must be executed on demand in N instances of these tables. Concurrency and accuracy are as important as performance.

Without being too specific, the type of data is related to finance, hence the heavy and large-scale transactional environment.

Could memory / hekaton tables be helpful here?
Or would a data warehouse be something that can be synchronized almost in real time and help support the analytical aspect?

I am open to any idea, including changing the database management systems (although Microsoft SQL Server is preferable for me if it can handle this in a better way).

Lens: Why do professional photographers use huge lenses to take portraits?

Most of the answers in this thread are at least partial nonsense.

For example, professionals do not usually open lenses up to f / 1.2 to shoot in the head with full-frame cameras, because the depth of field in that aperture and range is so short that you will have a focused eye and nothing more. Trust me, I wear this type of lens! Oh, and the image quality is often relatively poor until it closes a couple of stops. And the commitments to obtain large apertures mean that an expensive f / 1.2 lens may not be as sharp as a lens with a narrower maximum aperture, once closed; possibly the sharpest standard lens that exists is the equivalent f / 2.8 46 mm in Sigma Foveon sensor compactors. That f / 1.2 85 mm lens that someone from above thinks is very professional has a rather poor edge quality until it closed in 2 to 3 stops (for example, see the review of the lens on photozone.de). Now, a true professional would know, and then buy the f / 1.8 version much cheaper and lighter, or buy the f / 1.2 if he needed the focus boost in low light.

On the other hand, the effect of moving from f / 1.8 to f / 1.2 at headshot distances is probably crazy, or at least something you would rarely want to do (DoF chart for 85 mm f / 1.2). At 2.5 m, it is the difference between a sharp area of ​​10 cm and one of 8 cm. Would anyone sensible really care about the 2 cm difference? You are more likely to want to reduce the aperture and increase the DoF, instead of doubling the cost of a lens that can reduce it by 2 cm!

The reason for the great lenses in YouTube videos is because they are often for guys with cameras, gullible middle-aged men who want to become glamor photographers. The big zooms and the huge DSLR impress them because they are what they see the paparazzi using on television and because of obvious reason. Real photographers are likely to use something much more compact, such as a Fuji X with a 56 mm lens, or a Sony A7 or Nikon, whatever with a 50–85 mm lens.

Possibly, the main use of VERY wide aperture lenses by professionals is not to shoot but Attention. Focus systems hate dim light, especially phase detection systems in DSLR. Fans, on the other hand, often spend hours taking photos of a tree with only a focused leaf thanks to that incredibly neat depth of field, and if it makes them happy, why not?

Another point to understand about lenses such as the 85mm Canon f / 1.2 is that its DoF is small at f / 1.2 and a head shot range that often cannot be focused with sufficient accuracy for a competent image. This is not a problem for mirrorless cameras, which focus much more precisely because they do so from the image sensor.

Above all, the Canon f / 1.2 85 mm is not sharper than the cheapest and lightest f / 1.8, it is LESS sharp. This is almost always the case with very bright lenses in full frame: they are special purpose tools designed to sell to serious shooters with very unusual needs (20% of the market?) And to people who really do not know what they are & # 39 ; buy again (80%?)

Again, this does not translate into other systems: f / 1.2 is the equivalent of f / 1.4 or f / 1.8 for Fuji and Micro 4/3 systems. f / 0.95 is the specialized / crazy aperture for standard and short telephoto lenses.

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Huge Google Sheet bottleneck caused by this FILTER function. How to fix?

I identified by trial and error that this FILTER function is causing a massive delay in the calculation of formulas … This is the ONLY cause of the delay. I have tried it thoroughly. My solution at this time is to add a "1" before the equal sign to convert the formula to text, so every time I need to use the formula to retrieve and save its results, I delete the "1" to execute it and then replace it and refresh

Of course, this is not a good clean solution.

The formula is:

=FILTER({FORMULARIO!C9:C}, FORMULARIO!J9:J<>"PAGÓ", FORMULARIO!B9:B=10, FORMULARIO!C9:C<>"", FORMULARIO!A9:A>TODAY()-5, NOT(REGEXMATCH(FORMULARIO!Q9:Q, TEXTJOIN("|", 1, FILTER(FORMULARIO!Q9:Q, FORMULARIO!J9:J="PAGÓ")))))

I am looking for possible editions of the formula to reduce this enormous delay.
Maybe turn it into a CONSULTATION function?

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Native: Android app package size is huge when downloaded from the game store

Is there a case where PlayStore serves both armeabi-v7a and arm64-v8a if the device is compatible with both or will I only get an architecture apk of both?

PD: my application uses native ndk, so I am using the application package. When I unpack the package and check the size of each apk, it looks good.
But you want to know how the Play Store serves the apk and what apks will be served?