Looks like they're missing the obvious optimisation of putting the record data right after the CacheEntry members instead of allocating memory separately though. But that might just be me as a C-programmer talking and not be all that easy in Rust.
Looks like they're missing the obvious optimisation of putting the record data right after the CacheEntry members instead of allocating memory separately though. But that might just be me as a C-programmer talking and not be all that easy in Rust.
[1] https://doc.rust-lang.org/reference/dynamically-sized-types....
I assumed they couldn't do that because they're using it with some kind of generic HashMap<K, V>. In that situation, can "V" be dynamically sized?
A dynamically sized "V" would mean you can't have an array of them, which might preclude some hash map implementations.
, which HashMap does not do, i.e. the keys and values have to have a statically known size.
Cloudflare started to pick Zig recently, for projects, that have memory constraints.
You definitely can and this is done a lot. What you might mean is that you can't use standard library's collections with them (this is getting stabilized soon!) and have to use third-party, but that is a different thing than "can't use arenas".
> Rust is not a good choice for this kind of tricks.
Rust can do those tricks, but it's true that it is hard than in C or Zig. That said there are often crates to help.
The CloudFlare manually implemented a clumsy version of this.
Wouldn’t it be nice for the compiler to manage this for you in the same way that your database engine does when it saves a “row”?
Are you able to explain this? Do you mean an N sized array where each entry is either a value or a pointer to a value where the 'pointed-to' values are after the end of the array?
I'm trying to underatnd how you'd do this without having to parse M-1 elements to get the Mth entry if you did a [{size0, value0}, ....., {sizeN, valueN}] arrangement
So logically you'd have the equivalent of:
struct FooRecord {
int fixed_sized_field;
char some_other_field;
string first;
string last;
string title;
}
Physically the compiler would generate something like: struct FooRecord {
long __length__;
int fixed_sized_field;
char some_other_field;
char* first;
char* last;
char* title;
}
Where 'first', 'last', and 'title' are sequentially stored after the struct in the heap memory.There are variants of the above, of course. Instead of pointers the compiler could use lengths, offsets, or a pointer to the end of the variable length field -- this works because the beginning of the first field is at a fixed offset, and then pairs of pointers delimit the rest.
You can rely on the heap allocator to track the "__length__" instead, or you can encode it into the record explicitly to make "dynamic sized copies" simple.
Windows APIs generally work this way! You create a buffer, put a length in the first field, and then the API call writes a fixed-sized prefix followed by the dynamic-sized fields into the buffer. The 'length' is replaced too, so you know how many bytes to copy out without having to understand the structure.
Database engines go one step further and pack multiple "records" into a single "row". They typically store the fields "packed" at the start of the row with 16-bit length or offset markers at the end for the various dynamic sizes.
Something like:
fixed_sized_field // Row #0
some_other_field
first
last
title
fixed_sized_field // Row #1
some_other_field
first
last
title
... empty space ...
next_offset // always populated
row#1_title_offset
row#1_last_offset
row#1_first_offset
row#1_offset
row#0_title_offset
row#0_last_offset
row#0_first_offset
row#0_offset // typically the constant zero
The idea here is that every length is the difference between pairs of sequential offsets. I.e. row#1_title has length (next_offset-row#1_title_offset).In a row oriented database, you get a contiguous spot for the whole row even when there are multiple variable width fields.