xref: /redis-3.2.3/MANIFESTO (revision 3244d8bc)
1[Note: this is the Redis manifesto, for general information about
2       installing and running Redis read the README file instead.]
3
4Redis Manifesto
5===============
6
71 - A DSL for Abstract Data Types. Redis is a DSL (Domain Specific Language)
8    that manipulates abstract data types and implemented as a TCP daemon.
9    Commands manipulate a key space where keys are binary-safe strings and
10    values are different kinds of abstract data types. Every data type
11    represents an abstract version of a fundamental data structure. For instance
12    Redis Lists are an abstract representation of linked lists. In Redis, the
13    essence of a data type isn't just the kind of operations that the data types
14    support, but also the space and time complexity of the data type and the
15    operations performed upon it.
16
172 - Memory storage is #1. The Redis data set, composed of defined key-value
18    pairs, is primarily stored in the computer's memory. The amount of memory in
19    all kinds of computers, including entry-level servers, is increasing
20    significantly each year. Memory is fast, and allows Redis to have very
21    predictable performance. Datasets composed of 10k or 40 millions keys will
22    perform similarly. Complex data types like Redis Sorted Sets are easy to
23    implement and manipulate in memory with good performance, making Redis very
24    simple. Redis will continue to explore alternative options (where data can
25    be optionally stored on disk, say) but the main goal of the project remains
26    the development of an in-memory database.
27
283 - Fundamental data structures for a fundamental API. The Redis API is a direct
29    consequence of fundamental data structures. APIs can often be arbitrary but
30    not an API that resembles the nature of fundamental data structures. If we
31    ever meet intelligent life forms from another part of the universe, they'll
32    likely know, understand and recognize the same basic data structures we have
33    in our computer science books. Redis will avoid intermediate layers in API,
34    so that the complexity is obvious and more complex operations can be
35    performed as the sum of the basic operations.
36
374 - Code is like a poem; it's not just something we write to reach some
38    practical result. Sometimes people that are far from the Redis philosophy
39    suggest using other code written by other authors (frequently in other
40    languages) in order to implement something Redis currently lacks. But to us
41    this is like if Shakespeare decided to end Enrico IV using the Paradiso from
42    the Divina Commedia. Is using any external code a bad idea? Not at all. Like
43    in "One Thousand and One Nights" smaller self contained stories are embedded
44    in a bigger story, we'll be happy to use beautiful self contained libraries
45    when needed. At the same time, when writing the Redis story we're trying to
46    write smaller stories that will fit in to other code.
47
485 - We're against complexity. We believe designing systems is a fight against
49    complexity. We'll accept to fight the complexity when it's worthwhile but
50    we'll try hard to recognize when a small feature is not worth 1000s of lines
51    of code. Most of the time the best way to fight complexity is by not
52    creating it at all.
53
546 - Two levels of API. The Redis API has two levels: 1) a subset of the API fits
55    naturally into a distributed version of Redis and 2) a more complex API that
56    supports multi-key operations. Both are useful if used judiciously but
57    there's no way to make the more complex multi-keys API distributed in an
58    opaque way without violating our other principles. We don't want to provide
59    the illusion of something that will work magically when actually it can't in
60    all cases. Instead we'll provide commands to quickly migrate keys from one
61    instance to another to perform multi-key operations and expose the tradeoffs
62    to the user.
63
647 - We optimize for joy. We believe writing code is a lot of hard work, and the
65    only way it can be worth is by enjoying it. When there is no longer joy in
66    writing code, the best thing to do is stop. To prevent this, we'll avoid
67    taking paths that will make Redis less of a joy to develop.
68