So, King's Cross is zero-indexed...

Dear coders,
Indexing starts from 0, not counting.

Me at the office, Boss calling me by phone..

Boss: Hi, I need a new Build of XX Android app for another client.. set the base address at x.x.x.x and send me an APK file

Me: OK, I will do it.

Boss: can you do it in 5 minutes?

Me: Sure, it's simple..

Android Studio: You think it's simple !
* Indexing Files
* Sync Project
* Gradle Build
* Indexing....
* Some f* tasks

Oh kill me now !!

I'd stay away from that 🐕 ...

Array Indexing

Seems Legit...

I've had my share of incompetent coworkers. In order of appearance:

1. A full stack dev. This one guy never, and I mean NEVER uses relationships in their tables. No indexing, no keys, nada. Couple of months later he was baffled why his page took ten seconds to load.

2. The same dev as (1). Requirement was to create some sort of "theme" feature for a web app. Hacked it by putting !important all over the place.

3. The same dev again. He creates several functions that if the data exists returns a view, and if it doesn't, "echo '0'". No, not return 0 or return false or anything, but fucking echo. This was PHP. If posted a rant about this a few months ago.

4. Same dev, has no idea what clean code is. No, not just reusable functions, he doesn't even get indenting right. Some functions have 4 spaces, some 2 tabs, some 6 tabs! And this is inside the same function. God wait until he tries Python...

5. Same dev now suggests that he become the PM. GM approves (very small company). Assigns me to travel to a client since they needed "technical assistance about the API". Was actually there to lead a UAT session.

Intermezzo, that guy went from fullstack dev to PM to sales (yes, one who calls clients to offer products) to business development, to product analyst in the span of two years.

After a year and a half there, I quit.

6. New company, a "QA engineer" who also assumes the role as the product owner. Does absolutely no tests other than "functional tests" in which he NEVER produces any form of documentation. Not even a set of test cases. He goes by "intuition".

7. Same guy as (6), hands me requirements for a feature. By "hands me" I mean he did that verbally. No spec documents, no slack chat, no Trello card. I ended up writing it as a card in Trello. Fast forward to the due date, he flips out because that wasn't what he wanted. Showed him the card. He walked away, without thinking of a solution how this mess should be handled.

Despite all this, I really don't want him (6&7) to leave the company. The devs get really stressed out at this job and he does make a really good person to laugh with/at.

When your indexing starts from -1.

Z-indexing my whole life.

9
99
999
9999
99999
999999999999
999999999999999999998

IntelliJ users will understand the pain 😂

I had to open the desktop app to write this because I could never write a rant this long on the app.

This will be a well-informed rebuttal to the "arrays start at 1 in Lua" complaint. If you have ever said or thought that, I guarantee you will learn a lot from this rant and probably enjoy it quite a bit as well.

Just a tiny bit of background information on me: I have a very intimate understanding of Lua and its c API. I have used this language for years and love it dearly.

[START RANT]

"arrays start at 1 in Lua" is factually incorrect because Lua does not have arrays. From their documentation, section 11.1 ("Arrays"), "We implement arrays in Lua simply by indexing tables with integers."

From chapter 2 of the Lua docs, we know there are only 8 types of data in Lua: nil, boolean, number, string, userdata, function, thread, and table

The only unfamiliar thing here might be userdata. "A userdatum offers a raw memory area with no predefined operations in Lua" (section 26.1). Essentially, it's for the API to interact with Lua scripts. The point is, this isn't a fancy term for array.

The misinformation comes from the table type. Let's first explore, at a low level, what an array is. An array, in programming, is a collection of data items all in a line in memory (The OS may not actually put them in a line, but they act as if they are). In most syntaxes, you access an array element similar to:

array[index]

Let's look at c, so we have some solid reference. "array" would be the name of the array, but what it really does is keep track of the starting location in memory of the array. Memory in computers acts like a number. In a very basic sense, the first sector of your RAM is memory location (referred to as an address) 0. "array" would be, for example, address 543745. This is where your data starts. Arrays can only be made up of one type, this is so that each element in that array is EXACTLY the same size. So, this is how indexing an array works. If you know where your array starts, and you know how large each element is, you can find the 6th element by starting at the start of they array and adding 6 times the size of the data in that array.

Tables are incredibly different. The elements of a table are NOT in a line in memory; they're all over the place depending on when you created them (and a lot of other things). Therefore, an array-style index is useless, because you cannot apply the above formula. In the case of a table, you need to perform a lookup: search through all of the elements in the table to find the right one. In Lua, you can do:

a = {1, 5, 9};
a["hello_world"] = "whatever";

a is a table with the length of 4 (the 4th element is "hello_world" with value "whatever"), but a[4] is nil because even though there are 4 items in the table, it looks for something "named" 4, not the 4th element of the table.

This is the difference between indexing and lookups. But you may say,

"Algo! If I do this:

a = {"first", "second", "third"};
print(a[1]);

...then "first" appears in my console!"

Yes, that's correct, in terms of computer science. Lua, because it is a nice language, makes keys in tables optional by automatically giving them an integer value key. This starts at 1. Why? Lets look at that formula for arrays again:

Given array "arr", size of data type "sz", and index "i", find the desired element ("el"):

el = arr + (sz * i)

This NEEDS to start at 0 and not 1 because otherwise, "sz" would always be added to the start address of the array and the first element would ALWAYS be skipped. But in tables, this is not the case, because tables do not have a defined data type size, and this formula is never used. This is why actual arrays are incredibly performant no matter the size, and the larger a table gets, the slower it is.

That felt good to get off my chest. Yes, Lua could start the auto-key at 0, but that might confuse people into thinking tables are arrays... well, I guess there's no avoiding that either way.

if you were code, you wouldn't compile

I wouldn't catch you if you were the last exception in my code

your brain is so tiny, indexing it would make no significant performance gain

you are so embarrassing, I can only go out with you in SSL

if you were a pointer I'd move to java

Today I opened Android studio........end of story!

Sorry boss, I can't work today, fucking Intellij is indexing again.

Fucking Civil engineers don't know Number Systems.

Indexing done right

There are two hard problems in IT

- naming things
- indexing
- Segmentation violation

Dear XCode I hope you fucking burn in hell you piece of shit! can't do anything without that shit either indexing, or freezing, or crashing!
FUCK YOU BITCH!

The only serious, as in customer affecting, bug I never git fixed was an indexing bug that caused an exception requiring manual intervention by one of us.

Despite going at it for many years I never found the root cause before I left the company.

The reason it was so difficult was that it only occurred every second month or less and with different customers.
It was also not triggering directly when the error occurred but a while later once the error had caused accumulated errors until one value got negative.

Also, it was a combination SQL, backend code and frontend js and the time from initial error until an invalid value could be hours, days or even weeks.

And we never ever managed to replicate it our self and found no common pattern between occasions.

We think it was some kind of race condition when updating the db that caused duplicate values or a hole in the index series (db transaction or db index was not an option for various reason that would require a redesign of the central tables and most if the central code).

This then grew into multiple error on consecutive updates until one f them resulted in a negative number that then caused a regex in js to fail.

Is obsidian a fucking joke?

Seriously, is it a joke? Why would you ever care so much about indexing literally everything, if the entire thing crashes and/or takes >5min to LITERALLY just open the fucking directory and/or (so help you) if that directory is full of projects/repos or whatever the fuck and the total size of said directory is like >5GB.

WHY THE FUCK WOULD YOU INDEX EVERYTHING? -- "Ohh obsidian's not supposed to be used a fully fledged IDE, ohh obsidian should just handle MD files and normal sized projects, ohh the plugins and ease-of-use" -- Fuck.

There's no fucking real reason to index everything, BY DEFAULT. You open a directory with Obsidian? Doesn't matter, it's 1 byte, it's 100GB, you get indexed. Deal with it. It will use LITERALLY every resource your computer has. I'm surprised it doesn't go galaxy brain and ping if any other computers/devices are on the network and then attempt to connect and use their hardware (obsidian can be like a node!).

How shit can you be at understanding basic data structures and algorithms, where you just revert to based google-chrome brain and let the FUCKING TEXT EDITOR -- OBSIDIAN IS A FUCKING TEXT EDITOR HOLY SHIT -- hog all conceivable memory.

I swear to <some-deity> if anyone fucking says "Ohhhhhhhh actually, it's not a text editor, it has plugins and features and shit, it does all dis cool stff", OR, "Ohhhhh actually, obsidian indexes things for a very specific/rationale/apt/pragmatic/academic reason" OR "ohhhh, I have 100 iphones, 1000 ipads and a trillion desktop computers that each have 256GB of memory, why you hating on obsidian?" then go kick rocks. The fucking lot of you. Are you fucking kidding me.

God bless indexing.
Went from 5sec for 10 records to an instant for 300.

Primarily IntelliJ IDEs.

I'm using IDEA for Rust & Kotlin, PHPStorm, Datagrip (DB), and sometimes PyCharm CE.

IDEs can feel a bit dirty with how heavy they are, and the lack of customization/control. But at the end of the day there's just nothing that can measure up against IntelliJ's inspections, integrations and project indexing.

My ideal product would be one universal IntelliJ IDE, but combined with the openness of VSCode/Atom, having everything transparently configurable through stylesheets and scripts.

As an editor though.... I use Vim for LaTeX, Markdown, plain text and Haskell code... but not so much for other programming languages.

Vim was my first editor when I moved from C64 to PC development 25 years ago, and while you get used to balancing keybind vimgolfing with being actually productive, i've always found maintaining plugins and profiles too cumbersome -- the reality is that Vim is an awesome TEXT editor, but it's really awful as a CODE editor out of the box.

When you want to try out a new programming language, you don't want to have to mess around with your Vimrc and Vundle and YCM for half a day just so you can comfortably write "Hello World" in Rust or Elixir... you just want to click one install button, press F10 to compile and see if it flies.

Oh, and I use Xed a lot for quickly editing files... because it's the default GUI editor on Mint desktops, and it's quite good at being a basic notepad.

Me: This time I'm going to use proper indexing!
Also me: z-index: 9999999999999999999

I found weird that some developer never ask why when facing a problem. "What do you mean never ask why?" here some story.

Let's say a developer work with simple app. Laravel as Backend and Postgresql as Database. He face a problem that the app very slow when searching data.

In order to solve that problem he implement cache using redis but he found problem that it fast occasionally. In order to solve that problem he implement elasticsearch because he think elasticsearch very good for search but he found another problem that sometimes data on postgresql out of sync with data on elasticsearch. In order to solve that problem he implement cronjobs to fix out of sync data but he found another problem that cronjobs cannot fix out of sync data in real time. and so on...

Do you see the problem? He never ask why the app slow. Which part search the data? Backend or Database (Search in the Backend mostly slower than Database because Backend have to get all data on database first). Has the query been optimized? (limit offset, indexing). How about the internet connection? etc.

For me it's important to ask why when facing a problem and try to solve the problem as simple as possible.

Intellij IDEA, what in the name of fuck have you been "indexing" for more than 24 hours that keeps my CPU at a constant 200%???!

There aren't even enough files on my entire machine to justify this ridiculousness...

Our project at work goes live in 3 weeks.

The code base has no automated tests, breaks very often, has never had any level of manual testing

will not be releasing with any form of enforced roles or permissions in our first release now due to no time to enforce, however there is a whole admin api where you can literally change anything in our database including roles.

We also have teams in various countries all working separately on the same solution using microservices with shared nuget packages and they aren't using them properly.

Our pull requests are so big - as much as, 75 file changes - in our fe app that I can't keep up with it and I honestly have no idea if it even works or not due to no automated tests and no time to manually test.

We have no testing team, or qa team of any sort.

Every request into the system has to hit a minimum of 3 different databases via 3 different microservices so 1 request = 4 requests with the load on the servers.

We don't use any file streams so everything is just shoved in the buffer on the server.

Most of the people working on the angular apps cba to learn angular, no one across 2 teams cba to learn git. We use git so they constantly face problems. The guy in charge has 0 experience in angular but makes me do things how he wants architecturally so half the patterns make no sense.

No one looks at the pull requests, they just click approve so they may as well push directly to master.

Unfinished work gets put in for pull request so we don't know if the app is in a release state since aall teams are working independently, but on the same code base.

I sat down and tested the app myself for an hour and found 25 fe only issues, and 5 breaking cross browser issues.

Most of our databases are not normalised. Most of our databases make no sense. 99% of our tables have no indexing since there is no expertise with free time to do it.

No one there understands css properly. Or javascript.

Our. Net core microservices all directly use ef in the controller actions so there is no shared code there.

Our customer facing fe app is not dry because no tests so it was decided it was better this way.

Management has no idea on code state, it seems team lead is lieing to them about things like having any level of tests.

Management hire devs that claim to be experts but then it turns out they have basically no knowledge of what they were hired to do, even don't know what json is or the framework or language they are hired for, but we just leave them to get on with it and again make prs too big to review.

Honestly I have no hope that this will go well now but I am morbidly curious to watch. I've never seen anything like the train wreck that we are about to get experience.

Ok seriously is Microsoft mining Bitcoin on my computer? If I leave it idle for >5 minutes it starts using intense amounts of CPU and I have no clue why (doesn't show up in task manager, all the processes added up in taskmgr are like 15% max). It's super annoying since I have a razer and high cpu turns on BOTH VERY LOUD FANS.

I checked for malware and stopped any update or useless background tasks (cortana, indexing, etc) and it has not helped one bit. If I click the screen or move the mouse it subsides immediately.

(No, I won't get a mac--I have two and they lacks compatibility with the software I need as well as the specs for what I usually work with)

Last Friday I banged my head on this search engine algorithm that I was working on that was not indexing properly. For 2 freaking hours I was stuck on this one bug, until I gave up.

Yesterday I went at it again. Took me 5 minutes to fix the bug and finish the changes.

The power of a rested mind...

Hey, been gone a hot minute from devrant, so I thought I'd say hi to Demolishun, atheist, Lensflare, Root, kobenz, score, jestdotty, figoore, cafecortado, typosaurus, and the raft of other people I've met along the way and got to know somewhat.

All of you have been really good.

And while I'm here its time for maaaaaaaaath.

So I decided to horribly mutilate the concept of bloom filters.

If you don't know what that is, you take two random numbers, m, and p, both prime, where m < p, and it generate two numbers a and b, that output a function. That function is a hash.

Normally you'd have say five to ten different hashes.

A bloom filter lets you probabilistic-ally say whether you've seen something before, with no false negatives.
It lets you do this very space efficiently, with some caveats.

Each hash function should be uniformly distributed (any value input to it is likely to be mapped to any other value).

Then you interpret these output values as bit indexes.

So Hi might output [0, 1, 0, 0, 0]
while Hj outputs [0, 0, 0, 1, 0]
and Hk outputs [1, 0, 0, 0, 0]
producing [1, 1, 0, 1, 0]

And if your bloom filter has bits set in all those places, congratulations, you've seen that number before.

It's used by big companies like google to prevent re-indexing pages they've already seen, among other things.

Well I thought, what if instead of using it as a has-been-seen-before filter, we mangled its purpose until a square peg fit in a round hole?

Not long after I went and wrote a script that 1. generates data, 2. generates a hash function to encode it. 3. finds a hash function that reverses the encoding.

And it just works. Reversible hashes.

Of course you can't use it for compression strictly, not under normal circumstances, but these aren't normal circumstances.

The first thing I tried was finding a hash function h0, that predicts each subsequent value in a list given the previous value. This doesn't work because of hash collisions by default. A value like 731 might map to 64 in one place, and a later value might map to 453, so trying to invert the output to get the original sequence out would lead to branching. It occurs to me just now we might use a checkpointing system, with lookahead to see if a branch is the correct one, but I digress, I tried some other things first.

The next problem was 1. long sequences are slow to generate. I solved this by tuning the amount of iterations of the outer and inner loop. We find h0 first, and then h1 and put all the inputs through h0 to generate an intermediate list, and then put them through h1, and see if the output of h1 matches the original input. If it does, we return h0, and h1. It turns out it can take inordinate amounts of time if h0 lands on a hash function that doesn't play well with h1, so the next step was 2. adding an error margin. It turns out something fun happens, where if you allow a sequence generated by h1 (the decoder) to match *within* an error margin, under a certain error value, it'll find potential hash functions hn such that the outputs of h1 are *always* the same distance from their parent values in the original input to h0. This becomes our salt value k.
So our hash-function generate called encoder_decoder() or 'ed' (lol two letter functions), also calculates the k value and outputs that along with the hash functions for our data.

This is all well and good but what if we want to go further? With a few tweaks, along with taking output values, converting to binary, and left-padding each value with 0s, we can then calculate shannon entropy in its most essential form.

Turns out with tens of thousands of values (and tens of thousands of bits), the output of h1 with the salt, has a higher entropy than the original input. Meaning finding an h1 and h0 hash function for your data is equivalent to compression below the known shannon limit.
By how much?

Approximately 0.15%
Of course this doesn't factor in the five numbers you need, a0, and b0 to define h0, a1, and b1 to define h1, and the salt value, so it probably works out to the same. I'd like to see what the savings are with even larger sets though.

Next I said, well what if we COULD compress our data further?

What if all we needed were the numbers to define our hash functions, a starting value, a salt, and a number to represent 'depth'?

What if we could rearrange this system so we *could* use the starting value to represent n subsequent elements of our input x?

And thats what I did.

We break the input into blocks of 15-25 items, b/c thats the fastest to work with and find hashes for.

We then follow the math, to get a block which is
H0, H1, H2, H3, depth (how many items our 1st item will reproduce), & a starting value or 1stitem in this slice of our input.

x goes into h0, giving us y. y goes into h1 -> z, z into h2 -> y, y into h3, giving us back x.

The rest is in the image.
Anyway good to see you all again.

Last week all the sites I'm hosting started acting real strange... Nothing made sense.

One site gave an error telling me that the database couldn't write to disk "insufficient space"...

What? Are you fucking kidding me?

Turns out indexing 14TB of data kinda makes mlocate use a lot of space...

Excluded one folder, optimized the db and voila, from 17GB to less than 1GB...

Custom image format update for anyone who is interested…

First blocks of data have been written and the colour table has been compressed from ~170KB to 30 bytes…

Now to decide on my preferred method for pixel indexing, RLE or no RLE… and how should one do the RLE…

We bitch about JavaScript a lot, but I have never encountered a language with better out of bounds index handling for its array methods. It does make some projects considerably easier!

After 24 hours waiting for Xcode 9 to finish download, I run it on an existing project and got greeted with this:
Indexing Text

For fucknsake you piece of shit! Because indexing project isn't enough now Xcode index text! What the fuck are Apple employees smoking 😔

* Gradle building
* Gradle building
* Gradle Building

Oh yes gradle finished building :D

* Indexing
* Indexing
* Indexing

Oh finally it finished indexing.

* Refreshing project
* Refreshing project
* Refreshing project

Okeey, what I was going to do?

To fetch 100 users at once, i used JPA hibernate findAll() method. Simple fucking enough. I realized this shit is slow. Takes a while to fetch and 100 records aint even a lot!

This shit needs over 265 ms to fetch 100 users

About 75 ms to fetch 20 users

That shits terrible!

Then i wrote a custom JDBC class with custom SQL queries to fetch the exact same shit.

Now it fetched 100 users in 7 ms, 37x times faster for performance

I havent even optimized indexing or did shit. I just avoided using jpa hibernate

Someone explain this to me

I decided to upgrade my intellij ultimate from 2019.3 to 2020.2 and I saw there is update button.
I clicked on it.
As I expected it didn’t work and it was 30 minutes waiting looking at progress bar going back and forth couple of times before I decided just to download latest version and drag and drop it to applications folder ( took me 5 minutes) - I use mac so it replaces all crap ( I think ).

I cleared the old cache that growed to 2 gigabytes leaving some configuration files.
Next as always crash on startup cause of incompatible plugins with long java stacktrace - at least I could click the close button or popup closed itself I can’t remember ( one version I remember this button couldn’t be clicked cause it was off the screen and you need to do some cheating to launch ide )
The font has changed and I see that it at least work a little faster - that is nice. Indexing is finally fixed after all those years - probably thanks to visual studio code intellisense pushing those lazy bastards to deal with this.
But the preloader on first logo disappears so I think they decided to remove it cause it’s so fast - no it loads the same time or maybe little longer when I launch it on my old macbook.

After that as always I looked at plugins to see if there’s something interesting, so to find ability to scroll over whole plugins I needed to click couple of times. I think they assume I remember all the nice plugins in their marketplace and I only type search.
Maybe I should be type of user who reads best 2020 plugins for your best ide crap articles filled with advertising or even waste more time to watch all of this great videos about ide ( are there any kind of this stuff ? )

After a few operations I unfortunately clicked apply instead of restart ide and it hanged up on uninstalling some plugin I’m no longer interested in for 5 minutes so I decided to use always working ‘kill -9’ from command line.

Launched again and this time success.
Fortunately indexing finished for this workspace and I can work.

I’m intellij ultimate subscriber for 7+ years and I see those craps are not changing from like forever.
What’s the point of automate something that you can’t regression test ?
I started thinking that now when most people are facebook wall scrolling zombies companies assume that when new software comes out everyone is installing it right away and if not they’re probably not our customers cause they’re dead.
What a surprise they have when I pay for another year I can only imagine ( to be fair probably they even don’t know who I am ).
Yeah for sure I am subscribed to newsletters and I have jetbrains as a start page cause I shit myself with money and have nothing better to do then be grupie ( is there corporate grupies already a big community? )

Well I am a guy who likes to spend some time when installing anything and especially software that is responsible for my main source of income and productivity speed up.

Anyway I decided to upgrade cause editing es7 and typescript got to be pain in the ass and I see it’s working fine now. I don’t know if I like the font but at least the editor it’s working the same or maybe faster then the original that is huge improvement as developers lose most of their time between keyboard and screen communication protocol.

I don’t write it to discourage intellij as it’s great independent ide that I love and support for such a long time but they should focus on code editor and developers efficiency not on things that doesn’t make sense.

Congratulations if you reached this point of this meaningless post.

Now I started thinking that maybe it’s working faster cause I removed 2 gigs of crap from it.

Well we’ll see.

"When you hit 10 joins, you should contemplate your life choices. By the time you hit 15 joins, you've just entered the realm of no return." - Me when I find out that a query I've got a ticket for(because it's taking too long) has 18 joins to tables with no indexing at all.

Ever tried opening up x15 IntelliJ IDEA's sessions with all different repos at the same time after 3 months, so all of them would trigger reindexing?

There's the first time for everything I guess...

They said gpt got it wrong on the third question, but what it actually looks like is gpt3 used zero indexing and started from the end of the string instead of the beginning.

While gpt4 began at the start of the string, and also used zero-based indexing.

Makes a lot of sense actually, considering it was trained on a lot of code.

I’m trying to learn piano, but keep zero indexing my thumb. When I see I’m supposed to use my 5th finger, for a moment I wonder what species they think I am.

Renaming a file is just too difficult for this piece of shit software.

Fixing bugs? Fuck no.

Fixing crashes? Fuck no.

Fixing the unnavigable IDE settings? Fuck no.

The IntelliJ platform is a bloated piece of shit at every level.

JetBrains cannot produce software that isn't held together by duct tape.

I can't name a single item of software they've ever produced that isn't a bloated piece of shit.

Even if you are prepared to waste a lot of time trying to file a bug report – which they usually just ignore or pretend not to be reproducible – you have to use another in-house heap of shit called YouTrack.

Have you tried using this piece of trash that masquerades as a bug tracker?

These people are fucking clinically insane.

While your IDE becomes unresponsive and crashes without warning, or your keyboard shortcuts just mysteriously stop working in the IDE, or indexing just stops working for no reason, why not check out their TikTok and Twitter accounts?

They've got an excellent PR team that knows how to polish a turd for public consumption, and to make money out of it.

Who wants to build with me the European search engine?

- Rust or Go for high-performance crawling
- LLM (Mistral / Mixtral / Zephyr) for reasoning and answering
- Vector DB (Qdrant / Weaviate) for semantic memory
- Retrieval-Augmented Generation (RAG) instead of classic indexing
- Postgres / SQLite / S3 for smart buffer storage
- LLM-powered garbage filter (kill SEO sludge)
- Nightly retraining & hot-swappable models
- Minimalist frontend (SvelteKit or Next.js)
- No chatbot behavior. No endless replies. Just answers.

Can PHPStorm's indexing get any slower please???

"Indexing every field makes the database faster". GTFOOH.

One thing that I hate more than anything else in what I do: Waiting

Whether it is compiling, training, loading, IDE indexing or building I just despise it. It gets me out of my flow and forces me to be bored and often unable to do anything else because my pc is busy

If indexing was an olympic discipline, Xcode would be so busy indexing, it wouldn't even have time to compete.

When you are full on 1st priority you can just use zero indexing and you have 0 priority tasks.

So spending the morning trying to figure out how to build a database with indexing in Java for the first OLX HackerRank question.

It was sort of interesting except now I'm asking myself, why the fuck is a machine learning company interested in knowing that you can manually build a rudimentary DB....

Ever wondered if there are any Devs on devRant that work at the NSA? Or other shady agencies. Or are they only indexing this network?

So I've had a messy couple of days playing with magento sites so the other night i was dreaming that my brain requires indexing :/

I just started a new job last week. Old-school sysadmin role for a pretty old-school company, but the pay is nice and the kids've gotta eat.

They gave me a windows laptop. I haven't used windows for work or as a daily driver since 2016, and now, a week into trying to make this machine work for me, I have the following observations to report.

WSL is nice. It's nice to have it installed(though actually installing it was an adventure unto itself), and to set alacritty to open my default user prompt straight into that is very nice. As terminal emulators are by far my most used piece of software, that's nice to have.

Command-line software management through powershell, winget, and chocolatey are also very nice.

I like the accessibility offered by autohotkey, though there is something of a learning curve on it. Once I get better with it, I suspect that what follows will be largely mitigated.

The Bad:
In general, Windows is janky. It feels like it's all kinda taped together without any particular cohesion in mind. As a desktop, it feels decidedly amateur, compared to the feature-mountain polish of MacOS, and especially compared to the flexibility and infinite possibilities of Linux.

Lots of screen real estate is wasted, with window decorations, and fonts that look terrible at smaller sizes, because the antialiasing of fonts is just terrible. Almost all the features I depend on in other desktops: ad-hoc searches and launches(alfred, rofi) are-- again --janky. They work, but they typically require more typing than alfred or rofi. I admit I haven't spent weeks on this problem yet, but I haven't found a workable solution yet with wox, hain, and keypirinha. Quick searches like what you get with alfred, alfred workflows, and the swiss army knife that is rofi, just aren't possible or reliable with the tools I've used so far, and most require some kind of indexing agent to fully function.

It beggars imagination that a desktop in which users are subjected to "default apps" that is purported to be acceptable for enterprise, professional use, does not have a default entry for text editor. I installed nvim-qt, and I want to use it to edit anything and everything I ever edit with text, but all too often, apps have hard-coded instructions to open text files with notepad.

I want to open certain URLs with firefox, certain ones with firefox developer edition, and others with vivaldi, and yet there is not an app available that I have seen yet in my searches that allows me to set this kind of configuration. I found one that's supposed to, but it just ignores everything I put into its config, and just opens MS Edge for everything. Jank.

Simple things take too long. Like the delay between when I laboriously hit ctrl-alt-del to bring up the login and when the actual text field appears, and the delay between that and when I want to start using the computer.

Changing some settings requires a reboot. Updating some software requires a reboot. Updating permissions on something sometimes requires a reboot. And those are all on top of the frequent requests to reboot for updates.

I would have thought Windows would have overcome most of the issues that create these problems, but it's just, as I said, amateur.

Fucking elastic appsearch, too many requests per seconds and it dies. It doesn't go slow first, it just dies. No warning just a timeout that lasts until a manual restart in elastic cloud console. Besides being apparently the shittiest product in the elastic stack, it's also the worst documented. And yes I just scaled it up but not being able to handle indexing 100 documents per second with 8 vcpu and 8 gb memory is a shame.

Sometimes in our personal projects we write crazy commit messages. I'll post mine because its a weekend and I hope someone has a well deserved start. Feel free to post yours, regex out your username, time and hash and paste chronologically. ISSA THREAD MY DUDES AND DUDETTES
--
Initialization of NDM in Kotlin
Small changes, wiping drive
Small changes, wiping drive
Lottie, Backdrop contrast and logging in implementation
Added Lotties, added Link variable to Database Manifest
Fixed menu engine, added Smart adapter, indexing, Extra menus on home and Calendar
b4 work
Added branch and few changes
really before work
Merge remote-tracking branch 'origin/master'
really before work 4 sho
Refined Search response
Added Swipe to menus and nested tabs
Added custom tab library
tabs and shh
MORE TIME WASTED ON just 3 files
api and rx
New models new handlers, new static leaky objects xd, a few icons
minor changes
minor changesqwqaweqweweqwe
db db dbbb
Added Reading display and delete function
tryin to add web socket...fail
tryin to add web socket...success
New robust content handler, linked to a web socket. :) happy data-ring lol
A lot of changes, no time to explain
minor fixes ehehhe
Added args and content builder to content id
Converted some fragments into NDMListFragments
dsa
MAjor BiG ChANgEs added Listable interface added refresh and online cache added many stuff
MAjor mAjOr BiG ChANgEs added multiClick block added in-fragment Menu (and handling) added in-fragment list irem click handling
Unformatted some code, added midi handler, new menus, added manifest
Update and Insert (upsert) extension to Listable ArrayList
Test for hymnbook offline changing
Changed menuId from int to key string :) added refresh ...global... :(
Added Scale Gesture Listener
Changed Font and size of titlebar, text selection arg. NEW NEW Readings layout.
minor fix on duplicate readings
added isUserDatabase attribute to hymn database file added markwon to stanza views
Home changes :)
Modular hymn Editing
Home changes :) part 2
Home changes :) part 3
Unified Stanza view
Perfected stanza sharing
Added Summernote!!
minor changes
Another change but from source tree :)))
Added Span Saving
Added Working Quick Access
Added a caption system, well text captions only
Added Stanza view modes...quite stable though
From work changes
JUST a [ush
Touch horizontal needs fix
Return api heruko
Added bible index
Added new settings file
Added settings and new icons
Minor changes to settings
Restored ping
Toggles and Pickers in settings
Added Section Title
Added Publishing Access Panel
Added Some new color changes on restart. When am I going to be tired of adding files :)
Before the confession
Theme Adaptation to views
Before Realm DB
Theme Activity :)
Changes to theme Activity
Changes to theme Activity part 2 mini
Some laptop changes, so you wont know what changed :)
Images...
Rush ourd
Added palette from images
Added lastModified filter
Problem with cache response
works work
Some Improvements, changed calendar recycle view
Tonic Sol-fa Screen Added
Merge Pull
Yes colors
Before leasing out to testers
Working but unformated table
Added Seperators but we have a glithchchchc
Tonic sol-fa nice, dots left, and some extras :)))
Just a nice commit on a good friday.
Just a quickie
I dont know what im committing...

List of things one of my Python projects needs:

- cross-platform IMA/VFD/VHD/VHDX/qcow/VMDK/IMG/DSK/others image read/extract support that doesn't need admin/root privs (so no, can't use dd or mount)
- custom DB format (for speedups when indexing files and retrieving info based on hash) and converter from previous DB format
- GUI or actually good CLI
- massive speedups

kill me now

I accidentally added an node project with node modules into IntelliJ and its still indexing my files.. hopefully it'll get over till my next years appraisal

Android Studio is indexing files...

welp... might as well go out and do the grocery shopping, get my hair cut, maybe go to the gym, maybe drive over to the next city and hit the casinos...

and then come back to find that Android Studio is STILL indexing files...

PIECE. OF. SHIT.

When you are forced to use Matlab and later catch yourself indexing with 1, I'm hurt and wounded

I don't understand why windows can't just start deleting files instead of indexing (or discovering) them first (besides being windows). Is there any technical reason behind this or is it just bad design?

When I do shift+delete on like 200k files (I'm looking at you nodejs) just "discovering" those files takes like 5 minutes. Wouldn't it be faster if it stars deleting immediately after finding disk location of first file?

Is there a search engine indexing pages that work without JavaScript?
Why?
- I use the Lynx text-mode browser
Why else? Maybe I'm naïve:
- At least without JavaScript the advert/tracking methods will not slow load times or break the page.
- This may be a nice way to highlight websites that don't have time to join an SEO/analytics arms race.

i can't explain why, but hearing the term 'zeroth' in english really fucks with my head.

like, yeah, i'm quite used to 0-based indexing in my line of work obviously. but stuffs[0] == "the first element of stuffs" and that's what I would say when communicating verbally to the person looking at the code with me.

but like, take a use case where you are actually referring to something that precedes the first in a series, such as the number of updates on an original thing. then zeroth is indeed an accurate description, but still just rings such discord in my ear upon hearing it.

kinda like they say about 'moist' describing anything but a cake.

Hey guys! Quick question!

If I write an article on my blog (WordPress), then copy it and paste it word by word on LinkedIn, Medium, CSharpCorner and CodeProject.

Would my blog will be effected? Will Google kick me out of their indexing? I'd be my own content.

What are you going to say when you'll know a more than 1yr experienced web developer working in PHP and MySQL does not know about indexing column in MySQL and submitting registration form (includes password) in GET?

Just some free knowledge that I'd like to pass around:
I wanted to free up some space in my MacBook. I checked out different methods.
Here are some methods that helped:
- Go to ~/Library/Caches and try to clean shit up.
- If you have Homebrew, (if you don't, just quit dev already) run `brew cleanup` -- only for people with Macs.
- There's this app called Omnidisksweeper. Check that out.
- Also, indexing Spotlight is something I've heard of but never tried.

On your free time you
0. Walk
1. Game
2. Read
3. Code

Use indexing to reply with your answer

Going through online course that uses a language with 1-based indexing. All those errors. Oh the horrors. :-S

Algolia says:
"So our price widget doesn't allow decimals, you'll have to create a custom widget"

I do it.

"Hey, It's not working and I verified it's applying the filter correctly. I noticed my price is a string in your index, maybe that's incorrect and causing it to not work?"

They say: "Yep, you'll need to run an update to fix that and change all to floats" (charges an arm and a leg for the thousands of index operations needed to update the data type)

I clear the index and send a single one as a test, verifying it's a float by casting it using (float) then var_dumping. It shows "double(3.99)", but when it gets to Algolia, it's 0.

So I contact support.

"Hi, I'm sending across floats like you say but it's receiving it as 0, am I doing something wrong? Here's my code and the result of the var_dump"

They respond: "Looks like you're doing it right, but our log shows us receiving 3.999399593939, maybe check your PHP.ini for "serialize_precision" and make sure it's set to -1"

I check and it's fine, then I realize that var_dump is probably rounding to 2 decimal points so I change my cast to (float) number_format($row['Price'], 2) and wallah...it works.

Now I've wasted days of paying for their service, a ton of charges for indexing operations, and it was such a simple fix.

if they had thrown an error for the infinite decimal, that would have helped, but instead I had to reach out to find out that was the issue.

#Frustrated.

We need to deploy production on friday because the deployment process is managed via SAP tickets and requires almost every time manual intervention. Additional the indexing can only run during weekend.

Is there any open source project on indexing lecture videos on YouTube based on it's content?. That is the video will be indexed like a book so that the use can navigate to that particular topic in that video.

Fucking windows not releasing my hard drive. I was in a kind of a hurry, but you just have to be a pain in the arse. Now I even have to wait for you to fix an indexing error for something I did not agree to?

FUCKING BULLSHIT, MY DUDE NEXT TO ME USING LINUX WAS USING IT JUST FINE!

I want enough time to replace this garbage.

By the time I got here, it finished scanning for errors. NO. FUCKING. ERRORS. FOUND. FUCKING. WASTE. OF. TIME.

I don't know much about how search engines works and all that stuffs. I started a Blogspot and tried the Google Console to index my web on Google. But it sucks. I get redirect errors. "Crawled- but not indexed.", "Discovered not crawled". I don't know shit. And every video is just a crap on YouTube. I tried several methods and sometimes I feel like giving up.

Not a rant, but seeking advice...

Should I abandon 2 years' worth of work on migrating a personal project from SQL (M$) to a Graph database, and just stick to SQL? And only consider migrating when/if I need graph capabilities?

The project is a small social media platform. Has around ~50 monthly active users.

Why I started the migration in the first place:
• When researching databases, I read that for social media, graph is more suitable. It was, at least in terms of query structure. It was more natural, there were no "joins", and queries were much simpler than their SQL counterparts.

• In case the project got big, I didn't want to have to panic-deal with database issues that come with growth. I had some indexing issues with MSSQL, and it got me worried that at 50MAU I'm having these issues, what would happen if I get more?

• It's a personal project, and the Gremlin language and graph databases looked cool and I was motivated to learn something new.

----

Why I'm considering aborting the migration:
• It's taking too damn long. I'm unable to work on other features because this migration is taking up all my free time. Sunk cost fallacy is hitting me hard with this one.

• In local testing within docker, it's extremely slow. I tried various graph engines (janusgraph, official tinkerpop, orientdb), and the fastest one takes 4-6minutes to complete my server tests. SQL finishes the same tests in under 2 minutes, same docker environment. I also tried running my tests on a remote server (AWS neptune) and it was just as slow. Maybe my queries are bad, but can I afford to spend even more time fine tuning all queries?

• I now realise that "graph = no scalability issues" was naïve of me, and 100% wishful thinking. Scalability issues don't care what database I use, but about how well tuned and configured the whole system is.

• I really want to move on. My tech stack is falling behind and becoming outdated. I'm unable to maintain dependencies.

• I'm worried about losing those 50 MAU because they're essential to gaining traction once I release the platform. I keep telling them about the migration but at some point (2 years later) they're going to get bored I feel.

I guess partially it's a rant because I feel like I shouldn't stop now having spent 2 years on this, but at the same time I feel like I'm heading towards a dead end.

If you made it this far, thank you for reading:)

To anyone that can give me advice
I have my main business website,made in WordPress,with all my content.i used Google webmaster tools to request indexing for all the links on my website.i want to change from WordPress to less annoying CMs which is light and fast or I'm even considering using Django.if I build my site again ,and request indexing for all links on my domain
What happens to the old links.and will my new links get indexed?

So I was thinking of using Hexatrigesimal strings (base 36 numbers) for indexing like in a database. It could be very short indexes for long numbers, and still be completely ordered. However it doesn't seem to be supported a lot in programming languages. Does anyone know why it could be a bad idea?