wrk | Modern HTTP benchmarking tool | HTTP library

You could use SqlQuery for that:

The first snippet you provided has just text, and the DOM is small, and just the ID would take you to the element.

captcha = driver.find_element(By.ID, "recaptcha-accessible-status")

DOM Snapshot

I hit the website you showed in the link, and it shows to me in English. Here the DOM is relatively larger than the first snippet one.

driver.find_element(By.XPATH, "//form[@id='recaptcha-demo-form']//legend"] This should take you to the text.

DOM Snapshot2

If you are trying to get to the CAPTCHA checkbox, then you have to switch to iframe first and then access the element, as it lies inside an iframe.

The slowdown happens because of the way OFFSET works: it fetches all the data and only then drops the part before the offset. For your case it means the grouping will happen not only for the current page, but for all the previous pages too.

The standard trick to fix this kind of problem is to use Keyset Pagination. When fetching the page, you need to remember its last parent. Then in order to fetch the next page, you use your query with the

You are going to have a major SQL injection issue if you attempt what you are doing now.

The best solution here would be to pass back the HTML as an OUTPUT parameter:

Since your server doesn't really do much that is CPU intensive, you may not be CPU-bound at all (and your low CPU usage implies that too). You may be network bound or some other bottleneck that occurs long before you get to a CPU limit. Thus when you add CPUs beyond some level, you don't see benefit.

If you add a 100ms spin loop to your request handler to create actual CPU load, you will probably see very different results and adding more CPUs should show more benefit. Keep in mind that more CPUs only helps when you're actually CPU-bound.

Also, keep in mind that with your processor where you have 8 real cores that are hyperthreaded to appear to have 16 cores, those extra 8 are really just "more efficient" threads. If you aren't doing a lot of thread context switching, then those extra 8 virtual CPUs may not provide any real benefit.

And, the most accurate testing of your server configuration will be when the client load is on a different host and you are actually using the network to send/receive requests. localhost requests don't actually go through the network.

-T max time in minutes to wait for ZAP to start and the passive scan to run

Per:

• https://www.zaproxy.org/docs/docker/api-scan/
• https://www.zaproxy.org/docs/docker/full-scan/
• Or using the -h switch to print the CLI help.

Actually, what you need is, for each group (by year / month):

• compute errors locally for the current group,
• find k "wanted" columns (calling argsort) and take indicated columns from models,
• take the indicated columns from the current group and rename them to top_…,
• return what you generated so far.

To do it, define a "group processing" function:

Dont quote the mount argument, ie use docker run -v $(pwd):/zap/wrk/:rw ...

A working example is shown on https://www.zaproxy.org/docs/docker/baseline-scan/

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