meg | Fetch many paths for many hosts - without killing the hosts

I'm trying to insert this text via SQL query

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I want to create a multimap that maps several bitmaps to their specific char. For latin chars there are more bitmaps (because of font size). Also I need to store chinese chars. There are different fonts (called meg5, meg7, _china01). meg-family fonts are used for latin letters and china01 is used for chinese letters. I need to be able to switch between languages. Thats why I thought of storing them all in one multima. For latin letters I need to determine correct font (between meg5 and meg7). Here are my classes:

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I am trying to do a simple compare to identify if a variable is > a specific number. If yes, do one thing; if no, do another. But the comparison is not working. (Note. I am a relative newbie to bash scripting)

I have a file called eab_photos.zip. If the zipped archive is greater than 100 megs, I need to break the archive into multiple parts. (That part of the code is working correctly.)

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I have a project for minecraft, and after converting it to exe with this command:

pyinstaller "F:\pythonprojetcs\minecraft file mover\splashscreen.py" -F --icon="F:\pythonprojetcs\minecraft file mover\app.ico"

It wont launch. This is the error:

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I'm have problems sending a JSON object to a .NET Web API. I have multi array that I convert into JSON and send to the web service. The total length of the object is just over 50,000 characters. If I do a slice on the array everything is fine. It does not matter what 2 items I send as long as it's less that 2500 characters.

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hi so im currently trying to get past this error in my code, if anyone could explain where I went wrong, would be greatly appreciated.

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Scenario

I have a number of enterprise datasets that I must find missing links between, and one of the ways I use for finding potential matches is joining on first and last name. The complication is that we have a significant number of people who use their legal name in one dataset (employee records), but they use either a nickname or (worse yet) their middle name in others (i.e., EAD, training, PIV card, etc.). I am looking for a way to match up these potentially disparate names across the various datasets.

Simplified Example

Here is an overly simplified example of what I am trying to do, but I think it conveys my thought process. I begin with the employee table:

Employees table employee_id first_name last_name 052451 Robert Armsden 442896 Jacob Craxford 054149 Grant Keeting 025747 Gabrielle Renton 071238 Margaret Seifenmacher

and try to find the matching data from the PIV card dataset:

Cards table card_id first_name last_name 1008571527 Bobbie Armsden 1009599982 Jake Craxford 1004786477 Gabi Renton 1000628540 Maggy Seifenmacher Desired Result

After trying to match these datasets on first name and last name, I would like to end up with the following:

Employees_Cards table emp_employee_id emp_first_name emp_last_name crd_card_id crd_first_name crd_last_name 052451 Robert Armsden 1008571527 Bobbie Armsden 442896 Jacob Craxford 1009599982 Jake Craxford 054149 Grant Keeting NULL NULL NULL 025747 Gabrielle Renton 1004786477 Gabi Renton 071238 Margaret Seifenmacher 1000628540 Maggy Seifenmacher

As you can see, I would like to make the following matches:

Gabrielle -> Gabi
Jacob -> Jacob
Margaret -> Maggy
Robert -> Bobbie

My initial thought was to find a common names dataset along the lines of:

Name_Aliases table name1 name2 name3 name4 Gabrielle Gabi NULL NULL Jacob Jake NULL NULL Margaret Maggy Maggie Meg Michael Mike Mikey Mick Robert Bobbie Bob Rob

and use something like this for the JOIN:

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I'm trying to understand memory reporting in the Azure App Service. I have an Azure App Service plan of "S1" which includes 1.75 gigs of ram.

When I look in the Kudu process explorer and add up and add up all of the "private memory" of various , my app is using ~990mb. I don't have any other processes or deployment slots running. One single App Service, 1 deployment slot running.

However, in the dashboard, it says my memory percentage usage is 82% (very stable between 80-85% btw). 82% of 1.75 gig is 1.4 gig.

So I'm trying to figure out where the other 400 meg is going, or if the dashboard is incorrect? Are there other processes which are running which aren't included in the process explorer? The details of the process explorer is

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I have a customer business app that I wrote for a client. It is a Customer Tracking app, and involves uploading and download customer related files.

The files are kept in SQL Server. For small files say smaller than a meg, it works fine. But when the files get larger, then the time it takes to download the files becomes slower and slower until an exception is thrown. Sometimes a large 25 meg will download, but other times, it will time out.

Today, the client cannot download 5 meg files as it times out after about 60 seconds.

When I run the app from my Dev Machine to the same database, the file downloads in about 10 seconds. So it seems to me the issue is not the database, but the AppService hosting.

When I look at the logs of the AppService on Azure, it shows the CPU maxing out when these files are downloaded.

The site is currently on an S1 plan at $75 and the next plan up is $150 per month which seems mighty costly for a low use site. It's only used by 3-4 people. The speed is great other than with these large file downloads.

The code is fairly simple:

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