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b1e4052682
This introduces back some unlocking that was removed in #13286 but in a more balanced way, as suggested by @pracucci. For TSDBs with a lot of churn, Delete() can take a couple of seconds, and while it's holding the mutex, reads and writes are blocked waiting for that mutex, increasing the number of connections handled and memory usage. This implementation pauses every 4K labels processed (note that also compared to #13286 we're not processing all the label-values anymore, but only the affected ones, because of #14307), makes sure that it's possible to get the read lock, and waits for a few milliseconds more. Signed-off-by: Oleg Zaytsev <mail@olegzaytsev.com> Co-authored-by: Marco Pracucci <marco@pracucci.com> |
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| .. | ||
| agent | ||
| chunkenc | ||
| chunks | ||
| docs | ||
| encoding | ||
| errors | ||
| fileutil | ||
| goversion | ||
| index | ||
| record | ||
| testdata | ||
| tombstones | ||
| tsdbutil | ||
| wlog | ||
| .gitignore | ||
| block.go | ||
| block_test.go | ||
| blockwriter.go | ||
| blockwriter_test.go | ||
| CHANGELOG.md | ||
| compact.go | ||
| compact_test.go | ||
| db.go | ||
| db_test.go | ||
| example_test.go | ||
| exemplar.go | ||
| exemplar_test.go | ||
| head.go | ||
| head_append.go | ||
| head_bench_test.go | ||
| head_dedupelabels.go | ||
| head_other.go | ||
| head_read.go | ||
| head_read_test.go | ||
| head_test.go | ||
| head_wal.go | ||
| isolation.go | ||
| isolation_test.go | ||
| mocks_test.go | ||
| ooo_head.go | ||
| ooo_head_read.go | ||
| ooo_head_read_test.go | ||
| ooo_head_test.go | ||
| ooo_isolation.go | ||
| ooo_isolation_test.go | ||
| querier.go | ||
| querier_bench_test.go | ||
| querier_test.go | ||
| README.md | ||
| repair.go | ||
| repair_test.go | ||
| testutil.go | ||
| tsdbblockutil.go | ||
TSDB
This directory contains the Prometheus TSDB (Time Series DataBase) library, which handles storage and querying of all Prometheus v2 data.
Documentation
External resources
- A writeup of the original design can be found here.
- Video: Storing 16 Bytes at Scale from PromCon 2017.
- Compression is based on the Gorilla TSDB white paper.
A series of blog posts explaining different components of TSDB: