| name | explain-diff-html |
|---|---|
| description | Use when the user asks for a rich explanation of a code change, diff, branch, or PR. Produces HTML output. |
Please make me a rich, interactive explanation of the specified code change.
It should have these sections:
The big reason to do this is that LLDB has no ability to "follow-fork-mode child", in other words, a multi-process target that doesn't have a single-process mode (or, a bug that only manifests when in multi-process mode) is going to be difficult or impossible to debug, especially if you have to run the target over and over in order to make the bug manifest. If you have a repeatable bug, no big deal, break on the fork from the parent process and attach to the child in a second lldb instance. Otherwise, read on.
Don't make the mistake of thinking you can just brew install gdb. Currently this is version 10.2 and it's mostly broken, with at least two annoying bugs as of April 29th 2021, but the big one is https://sourceware.org/bugzilla/show_bug.cgi?id=24069
$ xcode-select install # install the XCode command-line tools| -- Two dashes start a one-line comment. | |
| --[[ | |
| Adding two ['s and ]'s makes it a | |
| multi-line comment. | |
| --]] | |
| ---------------------------------------------------- | |
| -- 1. Variables and flow control. | |
| ---------------------------------------------------- |
| import java.util.Set; | |
| import java.util.concurrent.ConcurrentHashMap; | |
| public class HelloCovariance { | |
| public static void main(String[] args) { | |
| ConcurrentHashMap<String, String> properties = new ConcurrentHashMap<>(); | |
| Set<String> keySet = properties.keySet(); | |
| } | |
| } |
User sessions in J2EE and LAMP stacks have traditionally been handled in memory by the application server handling the user request. Because of that, load balancers have been configured to use sticky sessions. By sticky sessions we mean that once the user has visited the site, they will be assigned an app server and will return to that server for subsequent requests. The load balancers typically handle that by referencing the users session cookie.
Elastic cloud environments differ from traditional server configurations in that they have a variable number of servers based on traffic loads whereas traditional configurations had a fixed number of servers. When traffic volumes decline it is necessary to vaporize servers. In doing so, we would lose user sessions (essentially forcing a logout) unless we come up with a new strategy for session management.
After much research, it is clear that the best
| var AWS = require("aws-sdk"); | |
| var DOC = require("dynamodb-doc"); | |
| var path = require('path'); | |
| var util = require('util'); | |
| var _ = require('lodash'); | |
| var async = require('async'); | |
| var internals = {}; |