master
md 39 lines 2.17 KB
Rendered Raw
1 # Gorilla compression and decompression
2
3 This provides an alternative way of representing values stored in database
4 pages. Instead of allocating and using a page of fixed size, ie. 4096 bytes,
5 the Gorilla implementation adds support for dynamically sized pages that
6 contain a variable number of Gorilla buffers.
7
8 Each buffer takes 512 bytes and compresses incoming data using the Gorilla
9 compression:
10
11 - The very first value is stored as it is.
12 - For each new value, Gorilla compression doesn't store the value itself. Instead,
13 it computes the difference (XOR) between the new value and the previous value.
14 - If the XOR result is zero (meaning the new value is identical to the previous
15 value), we store just a single bit set to `1`.
16 - If the XOR result is not zero (meaning the new value differs from the previous):
17 - We store a `0` bit to indicate the change.
18 - We compute the leading-zero count (LZC) of the XOR result, and compare it
19 with the previous LZC. If the two LZCs are equal we store a `1` bit.
20 - If the LZCs are different we use 5 bits to store the new LZC, and we store
21 the rest of the value (ie. without its LZC) in the buffer.
22
23 A Gorilla page can have multiple Gorilla buffers. If the values of a metric
24 are highly compressible, just one Gorilla buffer is able to store all the values
25 that otherwise would require a regular 4096 byte page, ie. we can use just 512
26 bytes instead. In the worst case scenario (for metrics whose values are not
27 compressible at all), a Gorilla page might end up having `9` Gorilla buffers,
28 consuming 4608 bytes. In practice, this is pretty rare and does not negate
29 the effect of compression for the metrics.
30
31 When a gorilla page is full, ie. it contains 1024 slots/values, we serialize
32 the linked-list of gorilla buffers directly to disk. During deserialization,
33 eg. when performing a DBEngine query, the Gorilla page is loaded from the disk and
34 its linked-list entries are patched to point to the new memory allocated for
35 serving the query results.
36
37 Overall, on a real-agent the Gorilla compression scheme reduces memory
38 consumption approximately by ~30%, which can be several GiB of RAM for parents
39 having hundreds, or even thousands of children streaming to them.