Hello, and Peace Upon you, I have a question about the graph @27:01 when Justin talks about **Hash Performance**, the concept of 0(1) was mentioned many times in the course so far but it was not explained by itself, or in isolation. Is there a place where I can read about this?
In short, O(1), constant time, describes how long it takes for an event to transpire. Constant time means I can guarantee that it will take one unit of measurement to accomplish a task, every single time. This is what makes it constant. There isn't necessarily a time value associated with O(1), as it's different for every task, but it means that it will be consistent every time it happens. There's a lot of nuance to this, so I'll let others chime in. Here's a great video clip outlining the concept: ruclips.net/video/BgLTDT03QtU/видео.html
![Redis University RU101[LIVE] - Week 2 with Suze Shardlow and Justin Castilla](http://i.ytimg.com/vi/ow3Anbw-Ffc/mqdefault.jpg)
![Redis University RU101[LIVE] - Week 2 with Suze Shardlow and Justin Castilla](/img/tr.png)
Hello, and Peace Upon you, I have a question about the graph @27:01 when Justin talks about **Hash Performance**, the concept of 0(1) was mentioned many times in the course so far but it was not explained by itself, or in isolation. Is there a place where I can read about this?
In short, O(1), constant time, describes how long it takes for an event to transpire. Constant time means I can guarantee that it will take one unit of measurement to accomplish a task, every single time. This is what makes it constant. There isn't necessarily a time value associated with O(1), as it's different for every task, but it means that it will be consistent every time it happens. There's a lot of nuance to this, so I'll let others chime in. Here's a great video clip outlining the concept:
ruclips.net/video/BgLTDT03QtU/видео.html
@@Redisinc thank you