This exposes a reference number of a series represented by a label set
to clients.
Subsequent samples can be directly added via the reference rather than
repeatedly passing in the full labels. This drasitcally speeds up the
append process.
The appender chain uses different sections of the reference number for
assignment to child appenders and invalidating reference numbers as
necessary.
Clients can either pass out reference numbers themselves or have their
own optimized lookup, i.e. by directly associating unparsed metric
descriptors strings with reference numbers.
This adds a memory series holding several chunk to replace
the single head chunk per series so far.
This is necessary for uniform maximum chunk sizes in cases
where some series have higher frequency samples than others.
This adds a 4 sample buffer to every head chunk. The XOR
compression scheme may edit bytes in place. The minimum size
of a sample is 2 bits. So keeping the last 4 samples in an in-memory
buffer makes it safe to query the preceeding ones while samples
are added
This adds a position mapper that takes series from a head block
in the order they were appended and creates a mapping representing
them in order of their label sets.
Write-repair of the postings list would cause very expensive writing.
Hence, we keep them as they are and only apply the postition mapping
at the very end, after a postings list has been sufficienctly reduced
through intersections etc.
This initializes the chunkDesc's last timestamp to the minimum
value so initial samples with a timestamp of 0 (e.g. in tests)
are not accidentally dropped.
This changes the IndexReader API to expose plain labels
and chunk meta information instead of a Series interface.
Dropping of irrelevant chunks is moved into the querier.
A LabelIndices method is added to query for existing label
value indices.
This adds interval metadata to indexed chunks. The queried interval
is used to filter chunks when queried from the index to save
unnecessary accesses of the chunks file.
This is especially relevant for series that come and go often and larger
files.