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sharepoint online – Empty SPO bin ignores threshold

I am trying to delete a SharePoint Online Recycle that contains more than 1,000,000 list items.

Clear-PNPrecycleBinItem -URL $siteURL

It generates an error on the threshold limit of 5,000 list items.

same Get-... does not work.

Ideas / suggestions?

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What is the confidence threshold for research?

Assuming you have to find what you are looking for X % of the time needed to trust a search service and become a regular user of that service:

What number is X?

Links to research papers would be sincerely appreciated.

For example. Is there an official source for how often people find what they're looking for on google.com and related services? Are there regions (eg geographic) where the search facility is lower, and how does this decrease affect customer loyalty?

In addition, is there a documented region between there % and z % where trust accelerates and where each additional improvement generates a substantial return on investment (defined as an increase in the recurring use of the service)?

Finally, are there business search providers who have indicated how often their customers' employees should expect to find what they are looking for? For example, did anyone hear from Microsoft vendors suggesting such figures for SharePoint?

Background: I have been working on enterprise search solutions for 12 years. Especially for "ready-to-use" SharePoint deployments, I remember that many employees do not use internal search for lack of trust, because the search opportunity is less than 25%, sometimes even reaching the numbers at one number (which contrasts strongly with the experience they used google.com). To encourage homeowners to invest more, I guess it would be effective to show them where they are currently on the chart below and when they can expect their employees to start doing trust in the service.

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In this graph, "SharePoint" is considered the default use case of the product. "a document management and storage system" [W], where there is little or no editorial maintenance. "Intranet" means like the institutional website publishing editorial relevant articles and tools internally.

A customer states as a success criterion that "60% of the time, people should find what they are looking for". However, they do not have any data indicating that this is enough for users to start trusting the search. In my previous experience, if you can provide a 75% search opportunity, users come back to the service, and conversely, if it is less than 30%, they hesitate. But my sample of users and services is low and I would not talk about real research. In addition, data points are too few to have much value – you do not really need data to infer that 75% is good enough and 30% is really bad.

algorithms – For a set of numbers, get the maximum of 10 numbers below a certain threshold

First of all, if you replace 10 by 2, you can solve this problem in linear time using a two-pointer algorithm: a pointer starts at the bottom of the array and the other moves as far as possible while keeping the average. below the threshold. Then you advance the first pointer by 1 and move the second one until the average is below the threshold. Etc. We notice that the same algorithm also works for a weighted average.

Given $ N $ numbers, you can divide them into two halves of $ N / 2 $ numbers ("meet in the middle"). Each series of 10 numbers is divided into one $ a $-set of the first half and a $ b $-set of the second half, for some $ a, b $ by summing to 10. We can run the algorithm above for all these $ a, b $ (using the appropriate weights). This will improve travel time to be proportional to $ binom {N} {10} $ to be proportional to $ binom {N / 2} {10} $ (for $ N geq $ 20).

You can try to improve this by dividing the halves randomly and hoping for a balanced split, which will occur with reasonable probability. Then just try $ a, b $ who are balanced. (The extreme would be to aim $ a = b = $ 5but this is not necessarily the best choice.) Although it is a randomized algorithm, it can probably be degraded by taking just a little bit of execution time.

Sharepoint Online REST API: Exceeding the threshold of displaying the list when querying items in a subfolder with GetItems

I need to query the elements of a given folder and all of its children in a library of documents with as few APIs as possible.
The ideal solution seemed to be getItems with Scope = "RecursiveAll & # 39; and one FolderServerRelativePath. However, the API below returns a SPQueryThrottledException for a specific document library on Sharepoint Online, and I can not understand the reason.

TO POST / _api / Web / Lists () / getItems? $ select = *, FileRef

POSITION BODY:
{
"request": {
"odata.type": "SP.CamlQuery",
"ViewXml": "1"
"DatesInUtc": true,
"FolderServerRelativePath": {
"DecodedUrl": ""
}
}
}

Some observations:

The subfolder contains 4 files and no folders.
Obtaining items in any folder in the document library fails with the same error
The document library contains approximately 6.5,000 items (folders + files).
Range = recursive & # 39; also fails, but & # 39; Default & # 39; and & # 39; filesonly & # 39; works well
The same query worked for another document library with 100k files

What is the problem with the query? How can I fix it? If it is impossible to solve the problem, are there any other APIs that can recursively query items in a folder?

Field ux – Definition of the acceptance threshold for the result of the evaluation of the usability

I am currently working on a framework for evaluating the usability of our products against our product design principles, which are nothing more than 10 usability heuristics (N & A). N) expressed in our own words. The goal is to identify areas of use that we do not achieve the best. That said, we have 8 heuristics covering specific usability areas. There will be a checklist in each of the heuristics to evaluate and in the end we will have a percentage as a score for each.

My question is, how do you know what each score means? Is 70% good or bad? How to define the threshold? Also, how do you weight each of the heuristics in order of importance? It is surely more important for a website, that is, to always provide feedback on the system and in a timely manner rather than looking good.

I wonder if you have any advice? I hope all this makes sense. Thank you

Fill below a certain threshold

How do I insert Fill in the graph below, so that only areas below 0.5 and below the line are filled?

Ground[-x + 1, {x, 0, 1}]

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5th dnd – Can the sleep spell take effect later when the life point threshold is reached?

A party attacks a creature with a lot of health and some spear To sleep. The creature resists the spell because it has more life than the caster cast for the sleeping spell, but can the sleep effect be triggered later when the creature loses enough health to fall under the threshold of sleep?

for example: The group fights an enemy creature with 30 life. The magician casts Sleep, the enemy is the only creature in the area of effect and rolls 5d8 for a total of 20. The creature resists because it has more than 20 health. After a few attacks, the creature is reduced to 18 life and we are still in the duration of one minute of the sleep spell. Would the sleep effect then be activated since the creature now has less than 20 health?

In context of the question, I saw this scenario unfold in an episode of season 1 of critical role Webcast where a giant first resisted a sleep spell, to fall asleep after sustaining enough damage, even though the sleep spell had been cast a few laps before. I know that DM Matt Mercer is playing a modified version of the 5E rules, especially since Season 1 was converted from Pathfinder, but since I only recently started playing at 5E, I thought that That was how the spell worked until one of my group's assistants threw it out last night and we spent some time re-reading the details of the spell.

Theory of complexity – Reduction of weighted linear threshold to unweighted

Reading "On the power of threshold circuits with low weights" of Siu and Bruck, I had several problems to understand how an unweighted linear threshold element can be constructed efficiently from the weighted element .

Let $ X = (x_1 ldots x_n), x_i in {- 1, 1 } $. We define the linear weighted threshold element as $ f (X) = sgn ( sum_ {i = 1} ^ n w_i x_i + w_0) = sgn (F (X)), w_i in Z $. There are no restrictions on $ | w_i | $, and the question is whether $ F (X) $ can be represented as a linear combination where $ | w_i | $ is limited by the polynomial of $ n $.

The authors say:

First, observe that considering the binary representation of the weights $ w_i $we can introduce more variables and assign constant values to renamed variables so that any linear threshold function can be assumed to assume the following generic form:

$ f (X) = sgn (F (X)) $, or $ F (X) = sum_ {i = 1} ^ {nlogn} 2 ^ i (x_ {1_i} + ldots + x_ {n_i}) $

I do not understand how the binary representation of weights relates to the
$ logn $ which is defined by $ X $ only.
Why the summation is made for
$ i = 1 ldots nlogn $?
We do not know what $ x_ {k_i} $ represent.