23 KiB
Chunks Disk Format
The following describes the format of a chunks file,
which is created in the chunks/
directory of a block.
The maximum size per segment file is 512MiB.
Chunks in the files are referenced from the index by uint64 composed of in-file offset (lower 4 bytes) and segment sequence number (upper 4 bytes).
┌──────────────────────────────┐
│ magic(0x85BD40DD) <4 byte> │
├──────────────────────────────┤
│ version(1) <1 byte> │
├──────────────────────────────┤
│ padding(0) <3 byte> │
├──────────────────────────────┤
│ ┌──────────────────────────┐ │
│ │ Chunk 1 │ │
│ ├──────────────────────────┤ │
│ │ ... │ │
│ ├──────────────────────────┤ │
│ │ Chunk N │ │
│ └──────────────────────────┘ │
└──────────────────────────────┘
Chunk
┌───────────────┬───────────────────┬─────────────┬────────────────┐
│ len <uvarint> │ encoding <1 byte> │ data <data> │ CRC32 <4 byte> │
└───────────────┴───────────────────┴─────────────┴────────────────┘
Notes:
<uvarint>
has 1 to 10 bytes.encoding
: Currently eitherXOR
,histogram
, orfloathistogram
, see code for numerical values.data
: See below for each encoding.
XOR chunk data
┌──────────────────────┬───────────────┬───────────────┬──────────────────────┬──────────────────────┬──────────────────────┬──────────────────────┬─────┬──────────────────────┬──────────────────────┬──────────────────┐
│ num_samples <uint16> │ ts_0 <varint> │ v_0 <float64> │ ts_1_delta <uvarint> │ v_1_xor <varbit_xor> │ ts_2_dod <varbit_ts> │ v_2_xor <varbit_xor> │ ... │ ts_n_dod <varbit_ts> │ v_n_xor <varbit_xor> │ padding <x bits> │
└──────────────────────┴───────────────┴───────────────┴──────────────────────┴──────────────────────┴──────────────────────┴──────────────────────┴─────┴──────────────────────┴──────────────────────┴──────────────────┘
Notes:
ts
is the timestamp,v
is the value....
means to repeat the previous two fields as needed, withn
starting at 2 and going up tonum_samples
– 1.<uint16>
has 2 bytes in big-endian order.<varint>
and<uvarint>
have 1 to 10 bytes each.ts_1_delta
ists_1
–ts_0
.ts_n_dod
is the “delta of deltas” of timestamps, i.e. (ts_n
–ts_n-1
) – (ts_n-1
–ts_n-2
).v_n_xor
is the result ofv_n
XORv_n-1
.<varbit_xor>
is a specific variable bitwidth encoding of the result of XORing the current and the previous value. It has between 1 bit and 77 bits. See code for details.<varbit_ts>
is a specific variable bitwidth encoding for the “delta of deltas” of timestamps (signed integers that are ideally small). It has between 1 and 68 bits. see code for details.padding
of 0 to 7 bits so that the whole chunk data is byte-aligned.- The chunk can have as few as one sample, i.e.
ts_1
,v_1
, etc. are optional.
Histogram chunk data
┌──────────────────────┬──────────────────────────┬───────────────────────────────┬─────────────────────┬──────────────────┬──────────────────┬──────────────────────┬────────────────┬──────────────────┐
│ num_samples <uint16> │ histogram_flags <1 byte> │ zero_threshold <1 or 9 bytes> │ schema <varbit_int> │ pos_spans <data> │ neg_spans <data> │ custom_values <data> │ samples <data> │ padding <x bits> │
└──────────────────────┴──────────────────────────┴───────────────────────────────┴─────────────────────┴──────────────────┴──────────────────┴──────────────────────┴────────────────┴──────────────────┘
Positive and negative spans data:
┌─────────────────────────┬────────────────────────┬───────────────────────┬────────────────────────┬───────────────────────┬─────┬────────────────────────┬───────────────────────┐
│ num_spans <varbit_uint> │ length_0 <varbit_uint> │ offset_0 <varbit_int> │ length_1 <varbit_uint> │ offset_1 <varbit_int> │ ... │ length_n <varbit_uint> │ offset_n <varbit_int> │
└─────────────────────────┴────────────────────────┴───────────────────────┴────────────────────────┴───────────────────────┴─────┴────────────────────────┴───────────────────────┘
Custom values data:
The custom_values
data is currently only used for schema -53 (custom bucket boundaries). For other schemas, it is empty (length of zero).
┌──────────────────────────┬──────────────────┬──────────────────┬─────┬──────────────────┐
│ num_values <varbit_uint> │ value_0 <custom> │ value_1 <custom> │ ... │ value_n <custom> │
└──────────────────────────┴─────────────────────────────────────┴─────┴──────────────────┘
Samples data:
┌──────────────────────────┐
│ sample_0 <data> │
├──────────────────────────┤
│ sample_1 <data> │
├──────────────────────────┤
│ sample_2 <data> │
├──────────────────────────┤
│ ... │
├──────────────────────────┤
│ sample_n <data> │
└──────────────────────────┘
Sample 0 data:
┌─────────────────┬─────────────────────┬──────────────────────────┬───────────────┬───────────────────────────┬─────┬───────────────────────────┬───────────────────────────┬─────┬───────────────────────────┐
│ ts <varbit_int> │ count <varbit_uint> │ zero_count <varbit_uint> │ sum <float64> │ pos_bucket_0 <varbit_int> │ ... │ pos_bucket_n <varbit_int> │ neg_bucket_0 <varbit_int> │ ... │ neg_bucket_n <varbit_int> │
└─────────────────┴─────────────────────┴──────────────────────────┴───────────────┴───────────────────────────┴─────┴───────────────────────────┴───────────────────────────┴─────┴───────────────────────────┘
Sample 1 data:
┌───────────────────────┬──────────────────────────┬───────────────────────────────┬──────────────────────┬─────────────────────────────────┬─────┬─────────────────────────────────┬─────────────────────────────────┬─────┬─────────────────────────────────┐
│ ts_delta <varbit_int> │ count_delta <varbit_int> │ zero_count_delta <varbit_int> │ sum_xor <varbit_xor> │ pos_bucket_0_delta <varbit_int> │ ... │ pos_bucket_n_delta <varbit_int> │ neg_bucket_0_delta <varbit_int> │ ... │ neg_bucket_n_delta <varbit_int> │
└───────────────────────┴──────────────────────────┴───────────────────────────────┴──────────────────────┴─────────────────────────────────┴─────┴─────────────────────────────────┴─────────────────────────────────┴─────┴─────────────────────────────────┘
Sample 2 data and following:
┌─────────────────────┬────────────────────────┬─────────────────────────────┬──────────────────────┬───────────────────────────────┬─────┬───────────────────────────────┬───────────────────────────────┬─────┬───────────────────────────────┐
│ ts_dod <varbit_int> │ count_dod <varbit_int> │ zero_count_dod <varbit_int> │ sum_xor <varbit_xor> │ pos_bucket_0_dod <varbit_int> │ ... │ pos_bucket_n_dod <varbit_int> │ neg_bucket_0_dod <varbit_int> │ ... │ neg_bucket_n_dod <varbit_int> │
└─────────────────────┴────────────────────────┴─────────────────────────────┴──────────────────────┴───────────────────────────────┴─────┴───────────────────────────────┴───────────────────────────────┴─────┴───────────────────────────────┘
Notes:
histogram_flags
is a byte of which currently only the first two bits are used:10
: Counter reset between the previous chunk and this one.01
: No counter reset between the previous chunk and this one.00
: Counter reset status unknown.11
: Chunk is part of a gauge histogram, no counter resets are happening.
zero_threshold
has a specific encoding:- If 0, it is a single zero byte.
- If a power of two between 2^-243 and 2^10, it is a single byte between 1 and 254.
- Otherwise, it is a byte with all bits set (255), followed by a float64, resulting in 9 bytes length.
schema
is a specific value defined by the exposition format. Currently valid values are either -4 <= n <= 8 (standard exponential schemas) or -53 (custom bucket boundaries).<varbit_int>
is a variable bitwidth encoding for signed integers, optimized for “delta of deltas” of bucket deltas. It has between 1 bit and 9 bytes. See code for details.<varbit_uint>
is a variable bitwidth encoding for unsigned integers with the same bit-bucketing as<varbit_int>
. See code for details.<varbit_xor>
is a specific variable bitwidth encoding of the result of XORing the current and the previous value. It has between 1 bit and 77 bits. See code for details.padding
of 0 to 7 bits so that the whole chunk data is byte-aligned.- Note that buckets are inherently deltas between the current bucket and the previous bucket. Only
bucket_0
is an absolute count. - The chunk can have as few as one sample, i.e. sample 1 and following are optional.
- Similarly, there could be down to zero spans and down to zero buckets.
The <custom>
encoding within the custom values data depends on the schema.
For schema -53 (custom bucket boundaries, currently the only use case for
custom values), the values to encode are bucket boundaries in the form of
floats. The encoding of a given float value x works as follows:
- Create an intermediate value y = x * 1000.
- If 0 ≤ y ≤ 33554430 and if the decimal value of y is integer, store
y + 1 as
<varbit_uint>
. - Otherwise, store a 0 bit, followed by the 64 bit of the original x
encoded as plain
<float64>
.
Note that values stored as per (2) will always start with a 1 bit, which allow decoders to recognize this case in contrast to values stores as per (3), which always start with a 0 bit.
The rational behind this encoding is that most custom bucket boundaries are set by humans as decimal numbers with not very many decimal places. In most cases, the encoding will therefore result in a short varbit representation. The upper bound of 33554430 is picked so that the varbit encoded value will take at most 4 bytes.
Float histogram chunk data
Float histograms have the same layout as histograms apart from the encoding of samples.
Samples data:
┌──────────────────────────┐
│ sample_0 <data> │
├──────────────────────────┤
│ sample_1 <data> │
├──────────────────────────┤
│ sample_2 <data> │
├──────────────────────────┤
│ ... │
├──────────────────────────┤
│ sample_n <data> │
└──────────────────────────┘
Sample 0 data:
┌─────────────────┬─────────────────┬──────────────────────┬───────────────┬────────────────────────┬─────┬────────────────────────┬────────────────────────┬─────┬────────────────────────┐
│ ts <varbit_int> │ count <float64> │ zero_count <float64> │ sum <float64> │ pos_bucket_0 <float64> │ ... │ pos_bucket_n <float64> │ neg_bucket_0 <float64> │ ... │ neg_bucket_n <float64> │
└─────────────────┴─────────────────┴──────────────────────┴───────────────┴────────────────────────┴─────┴────────────────────────┴────────────────────────┴─────┴────────────────────────┘
Sample 1 data:
┌───────────────────────┬────────────────────────┬─────────────────────────────┬──────────────────────┬───────────────────────────────┬─────┬───────────────────────────────┬───────────────────────────────┬─────┬───────────────────────────────┐
│ ts_delta <varbit_int> │ count_xor <varbit_xor> │ zero_count_xor <varbit_xor> │ sum_xor <varbit_xor> │ pos_bucket_0_xor <varbit_xor> │ ... │ pos_bucket_n_xor <varbit_xor> │ neg_bucket_0_xor <varbit_xor> │ ... │ neg_bucket_n_xor <varbit_xor> │
└───────────────────────┴────────────────────────┴─────────────────────────────┴──────────────────────┴───────────────────────────────┴─────┴───────────────────────────────┴───────────────────────────────┴─────┴───────────────────────────────┘
Sample 2 data and following:
┌─────────────────────┬────────────────────────┬─────────────────────────────┬──────────────────────┬───────────────────────────────┬─────┬───────────────────────────────┬───────────────────────────────┬─────┬───────────────────────────────┐
│ ts_dod <varbit_int> │ count_xor <varbit_xor> │ zero_count_xor <varbit_xor> │ sum_xor <varbit_xor> │ pos_bucket_0_xor <varbit_xor> │ ... │ pos_bucket_n_xor <varbit_xor> │ neg_bucket_0_xor <varbit_xor> │ ... │ neg_bucket_n_xor <varbit_xor> │
└─────────────────────┴────────────────────────┴─────────────────────────────┴──────────────────────┴───────────────────────────────┴─────┴───────────────────────────────┴───────────────────────────────┴─────┴───────────────────────────────┘