Most efficient way to randomly choose a word from a file with a list of words

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Discussion Overview

The discussion revolves around the most efficient method to randomly select a word from a local text file containing a list of words, specifically focusing on words that start with a given letter. Participants explore various approaches in Python, considering factors such as memory usage, speed, and the potential use of databases.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Exploratory

Main Points Raised

  • One participant suggests preprocessing the list by sorting words into distinct files based on their starting letters, allowing for efficient loading into an array for random selection.
  • Another participant proposes using a database approach, indicating that a SQL query could be used to select a random word starting with a specific letter.
  • One viewpoint emphasizes loading the entire file into memory and constructing a Python dictionary for quick lookups, while questioning what constitutes a "small" memory overhead.
  • A participant mentions the importance of network latency when the bot is online, suggesting that this may overshadow differences in implementation speed.
  • Another participant shares their experience with SQLite, noting the ease of creating a local database and the speed of queries, while also discussing the benefits of indexing.
  • Some participants argue against the necessity of SQL, suggesting alternative methods for handling large word lists efficiently.
  • Anecdotal evidence is provided regarding performance improvements in data processing when using flat files instead of databases.

Areas of Agreement / Disagreement

Participants express a variety of opinions on the best approach, with no consensus reached. Some advocate for in-memory solutions, while others prefer database methods or preprocessing techniques. The discussion remains unresolved regarding the optimal strategy.

Contextual Notes

Participants mention varying file sizes and the implications for memory usage, but specific memory requirements and performance metrics remain unclear. The discussion also highlights the potential impact of network conditions on response times.

  • #31
Filip Larsen said:
if whatever partial information is needed from a large file can be retrieved without reading and parsing the whole file and storing it memory first, then it likely will be more performant to not load the whole file in memory
Even leaving aside the web bot issue, the OP requirements, as far as I can see, cannot be met without loading and parsing the whole file in some way, since you have to randomly select a word. If the file is sorted by initial letter (as at least one of the ones linked to in the OP is), you might be able to get away with just loading the portion of it contaning words beginning with the chosen letter to randomly select a word, but even for that you would have to know what portion that is in advance, i.e., you would have had to load the entire file and parse it in order to generate the information about what portion of the file contains words starting with each letter. You could do the latter in a pre-processing step and store the results in a second file, I suppose.
 
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  • #32
PeterDonis said:
cannot be met without loading and parsing the whole file
Sure it can. In the Bad Old Days this was done all the tine. You get your letter, say Q, and the file header tells you where in the file the Q's start, and you start reading from there.

However, just because you can do it this way does not mean you should. The data file is not large - it is small. An unreasonable version is ~10 MB and a reasonable one 5-10% of that. One floppy disk (remember those?).

This is not a lot of data, and one should not attack the problem as if there were.
 
  • #33
Vanadium 50 said:
the file header
If there is one that contains the necessary data. In the examples the OP linked to, there wasn't.
 
  • #34
Vanadium 50 said:
One floppy disk (remember those?).
I do, yes. My first PC only had floppy drives (two of them), and I had things configured to use a RAM disk for frequently used files because loading them from floppy was so slow.
 
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  • #35
Fortunately, HDDs are faster than floppies. They can read that much data in a fraction of a second. I have small dictionary as part of a program (12K words) and the loading time is a small fraction of a second.

If instead of "header", I wrote "index" would that be clearer? The OPs dictionary need not be a flat file. It can have a more complex structure, like an index at the front. This is at least a 50 year old solution.

Fundamentally, though, this is not a lot of data. Treating this as if it did is likely not to lead to he optimal solution.
 
  • #36
Vanadium 50 said:
The OPs dictionary need not be a flat file.
Yes, files like the ones the OP linked to could be pre-processed to add an index section at the front.
 

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