Commit graph

107 commits

Author SHA1 Message Date
Julius Volz 51689d965d Add debug timers to instant and range queries.
This adds timers around several query-relevant code blocks. For now, the
query timer stats are only logged for queries initiated through the UI.
In other cases (rule evaluations), the stats are simply thrown away.

My hope is that this helps us understand where queries spend time,
especially in cases where they sometimes hang for unusual amounts of
time.
2013-06-05 18:32:54 +02:00
Julius Volz 5b105c77fc Repointerize fingerprints. 2013-05-21 14:28:14 +02:00
Matt T. Proud 8f4c7ece92 Destroy naked returns in half of corpus.
The use of naked return values is frowned upon.  This is the first
of two bulk updates to remove them.
2013-05-16 10:53:25 +03:00
Julius Volz 56324d8ce2 Make AST query storage non-global. 2013-05-07 13:15:10 +02:00
Julius Volz dcf2e82752 Cleanup and idiomaticize rule/expression dot graph output. 2013-04-29 12:57:34 +02:00
Matt T. Proud b3e34c6658 Implement batch database sample curator.
This commit introduces to Prometheus a batch database sample curator,
which corroborates the high watermarks for sample series against the
curation watermark table to see whether a curator of a given type
needs to be run.

The curator is an abstract executor, which runs various curation
strategies across the database.  It remarks the progress for each
type of curation processor that runs for a given sample series.

A curation procesor is responsible for effectuating the underlying
batch changes that are request.  In this commit, we introduce the
CompactionProcessor, which takes several bits of runtime metadata and
combine sparse sample entries in the database together to form larger
groups.  For instance, for a given series it would be possible to
have the curator effectuate the following grouping:

- Samples Older than Two Weeks: Grouped into Bunches of 10000
- Samples Older than One Week: Grouped into Bunches of 1000
- Samples Older than One Day: Grouped into Bunches of 100
- Samples Older than One Hour: Grouped into Bunches of 10

The benefits hereof of such a compaction are 1. a smaller search
space in the database keyspace, 2. better employment of compression
for repetious values, and 3. reduced seek times.
2013-04-27 17:38:18 +02:00
Julius Volz 2202cd71c9 Track alerts over time and write out alert timeseries. 2013-04-26 14:35:21 +02:00