prometheus

Commit Graph

Author	SHA1	Message	Date
Marek Slabicki	8224ddec23	Capitalizing first letter of all log lines (#7043 ) Signed-off-by: Marek Slabicki <thaniri@gmail.com>	5 years ago
Julien Pivotto	9057decce2	Merge pull request #7060 from prometheus/release-2.17 Release 2.17	5 years ago
Julien Pivotto	653f343547	Revert head posting optimization This reverts commit `52630ad0c7`. Signed-off-by: Julien Pivotto <roidelapluie@inuits.eu>	5 years ago
Bartlomiej Plotka	d5c33877f9	storage: Added Chunks{Queryable/Querier/SeriesSet/Series/Iteratable. Added generic Merge{SeriesSet/Querier} implementation. (#7005 ) * storage: Added Chunks{Queryable/Querier/SeriesSet/Series/Iteratable. Added generic Merge{SeriesSet/Querier} implementation. ## Rationales: In many places (e.g. chunk Remote read, Thanos Receive fetching chunk from TSDB), we operate on encoded chunks not samples. This means that we unnecessary decode/encode, wasting CPU, time and memory. This PR adds chunk iterator interfaces and makes the merge code to be reused between both seriesSets I will make the use of it in following PR inside tsdb itself. For now fanout implements it and mergers. All merges now also allows passing series mergers. This opens doors for custom deduplications other than TSDB vertical ones (e.g. offline one we have in Thanos). ## Changes * Added Chunk versions of all iterating methods. It all starts in Querier/ChunkQuerier. The plan is that Storage will implement both chunked and samples. * Added Seek to chunks.Iterator interface for iterating over chunks. * NewMergeChunkQuerier was added; Both this and NewMergeQuerier are now using generigMergeQuerier to share the code. Generic code was added. * Improved tests. * Added some TODO for further simplifications in next PRs. Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com> * Addressed Brian's comments. Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com> * Moved s/Labeled/SeriesLabels as per Krasi suggestion. Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com> * Addressed Krasi's comments. Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com> * Second iteration of Krasi comments. Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com> * Another round of comments. Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>	5 years ago
Marco Pracucci	c391b6ca43	Use a cryptographically random generator for ULID Signed-off-by: Marco Pracucci <marco@pracucci.com>	5 years ago
Julien Pivotto	52630ad0c7	Make head Postings only return series in time range benchmark old ns/op new ns/op delta BenchmarkQuerierSelect/Head/1of1000000-8 405805161 120436132 -70.32% BenchmarkQuerierSelect/Head/10of1000000-8 403079620 120624292 -70.07% BenchmarkQuerierSelect/Head/100of1000000-8 404678647 120923522 -70.12% BenchmarkQuerierSelect/Head/1000of1000000-8 403145813 118636563 -70.57% BenchmarkQuerierSelect/Head/10000of1000000-8 405020046 125716206 -68.96% BenchmarkQuerierSelect/Head/100000of1000000-8 426305002 175808499 -58.76% BenchmarkQuerierSelect/Head/1000000of1000000-8 619002108 567013003 -8.40% BenchmarkQuerierSelect/SortedHead/1of1000000-8 1276316086 120281094 -90.58% BenchmarkQuerierSelect/SortedHead/10of1000000-8 1282631170 121836526 -90.50% BenchmarkQuerierSelect/SortedHead/100of1000000-8 1325824787 121174967 -90.86% BenchmarkQuerierSelect/SortedHead/1000of1000000-8 1271386268 121025117 -90.48% BenchmarkQuerierSelect/SortedHead/10000of1000000-8 1280223345 130838948 -89.78% BenchmarkQuerierSelect/SortedHead/100000of1000000-8 1271401620 243635515 -80.84% BenchmarkQuerierSelect/SortedHead/1000000of1000000-8 1360256090 1307744674 -3.86% BenchmarkQuerierSelect/Block/1of1000000-8 748183120 707888498 -5.39% BenchmarkQuerierSelect/Block/10of1000000-8 741084129 716317249 -3.34% BenchmarkQuerierSelect/Block/100of1000000-8 722157273 735624256 +1.86% BenchmarkQuerierSelect/Block/1000of1000000-8 727587744 731981838 +0.60% BenchmarkQuerierSelect/Block/10000of1000000-8 727518578 726860308 -0.09% BenchmarkQuerierSelect/Block/100000of1000000-8 765577046 757382386 -1.07% BenchmarkQuerierSelect/Block/1000000of1000000-8 1126722881 1084779083 -3.72% benchmark old allocs new allocs delta BenchmarkQuerierSelect/Head/1of1000000-8 4000018 24 -100.00% BenchmarkQuerierSelect/Head/10of1000000-8 4000036 82 -100.00% BenchmarkQuerierSelect/Head/100of1000000-8 4000216 625 -99.98% BenchmarkQuerierSelect/Head/1000of1000000-8 4002016 6028 -99.85% BenchmarkQuerierSelect/Head/10000of1000000-8 4020016 60037 -98.51% BenchmarkQuerierSelect/Head/100000of1000000-8 4200016 600047 -85.71% BenchmarkQuerierSelect/Head/1000000of1000000-8 6000016 6000016 +0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-8 4000055 28 -100.00% BenchmarkQuerierSelect/SortedHead/10of1000000-8 4000073 87 -100.00% BenchmarkQuerierSelect/SortedHead/100of1000000-8 4000253 630 -99.98% BenchmarkQuerierSelect/SortedHead/1000of1000000-8 4002053 6036 -99.85% BenchmarkQuerierSelect/SortedHead/10000of1000000-8 4020053 60054 -98.51% BenchmarkQuerierSelect/SortedHead/100000of1000000-8 4200053 600074 -85.71% BenchmarkQuerierSelect/SortedHead/1000000of1000000-8 6000053 6000053 +0.00% BenchmarkQuerierSelect/Block/1of1000000-8 6000021 6000021 +0.00% BenchmarkQuerierSelect/Block/10of1000000-8 6000057 6000057 +0.00% BenchmarkQuerierSelect/Block/100of1000000-8 6000417 6000417 +0.00% BenchmarkQuerierSelect/Block/1000of1000000-8 6004017 6004017 +0.00% BenchmarkQuerierSelect/Block/10000of1000000-8 6040017 6040017 +0.00% BenchmarkQuerierSelect/Block/100000of1000000-8 6400017 6400017 +0.00% BenchmarkQuerierSelect/Block/1000000of1000000-8 10000018 10000018 +0.00% benchmark old bytes new bytes delta BenchmarkQuerierSelect/Head/1of1000000-8 176001177 1392 -100.00% BenchmarkQuerierSelect/Head/10of1000000-8 176002329 4368 -100.00% BenchmarkQuerierSelect/Head/100of1000000-8 176013849 33520 -99.98% BenchmarkQuerierSelect/Head/1000of1000000-8 176129056 321456 -99.82% BenchmarkQuerierSelect/Head/10000of1000000-8 177281049 3427376 -98.07% BenchmarkQuerierSelect/Head/100000of1000000-8 188801049 35055408 -81.43% BenchmarkQuerierSelect/Head/1000000of1000000-8 304001059 304001049 -0.00% BenchmarkQuerierSelect/SortedHead/1of1000000-8 229192188 2488 -100.00% BenchmarkQuerierSelect/SortedHead/10of1000000-8 229193340 5568 -100.00% BenchmarkQuerierSelect/SortedHead/100of1000000-8 229204860 35536 -99.98% BenchmarkQuerierSelect/SortedHead/1000of1000000-8 229320060 345104 -99.85% BenchmarkQuerierSelect/SortedHead/10000of1000000-8 230472060 3894672 -98.31% BenchmarkQuerierSelect/SortedHead/100000of1000000-8 241992060 40511632 -83.26% BenchmarkQuerierSelect/SortedHead/1000000of1000000-8 357192060 357192060 +0.00% BenchmarkQuerierSelect/Block/1of1000000-8 227201516 227201506 -0.00% BenchmarkQuerierSelect/Block/10of1000000-8 227203057 227203041 -0.00% BenchmarkQuerierSelect/Block/100of1000000-8 227217161 227217165 +0.00% BenchmarkQuerierSelect/Block/1000of1000000-8 227358279 227358289 +0.00% BenchmarkQuerierSelect/Block/10000of1000000-8 228769485 228769475 -0.00% BenchmarkQuerierSelect/Block/100000of1000000-8 242881487 242881477 -0.00% BenchmarkQuerierSelect/Block/1000000of1000000-8 384001705 384001705 +0.00% Signed-off-by: Julien Pivotto <roidelapluie@inuits.eu>	5 years ago
Brian Brazil	cebe36c7d5	Make head Postings only return series in time range Series() will fetch all the metadata for a series, even if it's going to be filtered later due to time ranges. For 1M series we save ~1.1s if you only needed some of the data, but take an extra ~.2s if you did want everything. benchmark old ns/op new ns/op delta BenchmarkHeadSeries/1of1000000-4 1443715987 131553480 -90.89% BenchmarkHeadSeries/10of1000000-4 1433394040 130730596 -90.88% BenchmarkHeadSeries/100of1000000-4 1437444672 131360813 -90.86% BenchmarkHeadSeries/1000of1000000-4 1438958659 132573137 -90.79% BenchmarkHeadSeries/10000of1000000-4 1438061766 145742377 -89.87% BenchmarkHeadSeries/100000of1000000-4 1455060948 281659416 -80.64% BenchmarkHeadSeries/1000000of1000000-4 1633524504 1803550153 +10.41% benchmark old allocs new allocs delta BenchmarkHeadSeries/1of1000000-4 4000055 28 -100.00% BenchmarkHeadSeries/10of1000000-4 4000073 87 -100.00% BenchmarkHeadSeries/100of1000000-4 4000253 630 -99.98% BenchmarkHeadSeries/1000of1000000-4 4002053 6036 -99.85% BenchmarkHeadSeries/10000of1000000-4 4020053 60054 -98.51% BenchmarkHeadSeries/100000of1000000-4 4200053 600074 -85.71% BenchmarkHeadSeries/1000000of1000000-4 6000053 6000094 +0.00% benchmark old bytes new bytes delta BenchmarkHeadSeries/1of1000000-4 229192184 2488 -100.00% BenchmarkHeadSeries/10of1000000-4 229193336 5568 -100.00% BenchmarkHeadSeries/100of1000000-4 229204856 35536 -99.98% BenchmarkHeadSeries/1000of1000000-4 229320056 345104 -99.85% BenchmarkHeadSeries/10000of1000000-4 230472056 3894673 -98.31% BenchmarkHeadSeries/100000of1000000-4 241992056 40511632 -83.26% BenchmarkHeadSeries/1000000of1000000-4 357192056 402380440 +12.65% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>	5 years ago
Bartlomiej Plotka	34426766d8	Unify Iterator interfaces. All point to storage now. This is part of https://github.com/prometheus/prometheus/pull/5882 that can be done to simplify things. All todos I added will be fixed in follow up PRs. * querier.Querier, querier.Appender, querier.SeriesSet, and querier.Series interfaces merged with storage interface.go. All imports that. * querier.SeriesIterator replaced by chunkenc.Iterator * Added chunkenc.Iterator.Seek method and tests for xor implementation (?) * Since we properly handle SelectParams for Select methods I adjusted min max based on that. This should help in terms of performance for queries with functions like offset. * added Seek to deletedIterator and test. * storage/tsdb was removed as it was only a unnecessary glue with incompatible structs. No logic was changed, only different source of abstractions, so no need for benchmarks. Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>	5 years ago
Brian Brazil	dee6981a6c	Move writing of index label indices into IndexWriter. Now you only need to provide symbols and series to IndexWriter. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>	5 years ago
Brian Brazil	d782387f81	Stream symbols during compaction. (#6468 ) Rather than buffer up symbols in RAM, do it one by one during compaction. Then use the reader's symbol handling for symbol lookups during the rest of the index write. There is some slowdown in compaction, due to having to look through a file rather than a hash lookup. This is noise to the overall cost of compacting series with thousands of samples though. benchmark old ns/op new ns/op delta BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 539917175 675341565 +25.08% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 2441815993 2477453524 +1.46% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 3978543559 3922909687 -1.40% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 8430219716 8586610007 +1.86% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 1786424591 1909552782 +6.89% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 5328998202 6020839950 +12.98% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 10085059958 11085278690 +9.92% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 25497010155 27018079806 +5.97% BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 2427391406 2817217987 +16.06% BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 2592965497 2538805050 -2.09% BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 2437388343 2668012858 +9.46% BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 2317095324 2787423966 +20.30% BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 2600239857 2096973860 -19.35% benchmark old allocs new allocs delta BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 500851 470794 -6.00% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 821527 791451 -3.66% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 1141562 1111508 -2.63% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 2141576 2111504 -1.40% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 871466 841424 -3.45% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 1941428 1911415 -1.55% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 3071573 3041510 -0.98% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 6771648 6741509 -0.45% BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 731493 824888 +12.77% BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 793918 887311 +11.76% BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 811842 905204 +11.50% BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 832244 925081 +11.16% BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 921553 1019162 +10.59% benchmark old bytes new bytes delta BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 40532648 35698276 -11.93% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 60340216 53409568 -11.49% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 81087336 72065552 -11.13% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 142485576 120878544 -15.16% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 208661368 203831136 -2.31% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 347345904 340484696 -1.98% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 585185856 576244648 -1.53% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 1357641792 1358966528 +0.10% BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 126486664 119666744 -5.39% BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 122323192 115117224 -5.89% BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 126404504 119469864 -5.49% BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 119047832 112230408 -5.73% BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 136576016 116634800 -14.60% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>	5 years ago
Brian Brazil	0482d93fe6	Add contexts to index writer to fix test races. With recent speed improvements to populate block, the cancellation test now fails regularly on CI. Use contexts to get the index writer to shut down much faster, and that allows us to make the cancellation test faster too. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>	5 years ago
Brian Brazil	373a1fdfbf	Reread index series rather than storing in memory. Rather than building up a 2nd copy of all the posting tables, construct it from the data we've already written to disk. This takes more time, but saves memory. Current benchmark numbers have this as slightly faster, but that's likely due to the synthetic data not having many label names. Memory usage is roughly halved for the relevant bits. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>	5 years ago
Brian Brazil	48d25e6fe7	Reduce memory used by postings offset table. Rather than keeping the offset of each postings list, instead keep the nth offset of the offset of the posting list. As postings list offsets have always been sorted, we can then get to the closest entry before the one we want an iterate forwards. I haven't done much tuning on the 32 number, it was chosen to try not to read through more than a 4k page of data. Switch to a bulk interface for fetching postings. Use it to avoid having to re-read parts of the posting offset table when querying lots of it. For a index with what BenchmarkHeadPostingForMatchers uses RAM for r.postings drops from 3.79MB to 80.19kB or about 48x. Bytes allocated go down by 30%, and suprisingly CPU usage drops by 4-6% for typical queries too. benchmark old ns/op new ns/op delta BenchmarkPostingsForMatchers/Block/n="1"-4 35231 36673 +4.09% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 563380 540627 -4.04% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 536782 534186 -0.48% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 533990 541550 +1.42% BenchmarkPostingsForMatchers/Block/i=~"."-4 113374598 117969608 +4.05% BenchmarkPostingsForMatchers/Block/i=~".+"-4 146329884 139651442 -4.56% BenchmarkPostingsForMatchers/Block/i=~""-4 50346510 44961127 -10.70% BenchmarkPostingsForMatchers/Block/i!=""-4 41261550 35356165 -14.31% BenchmarkPostingsForMatchers/Block/n="1",i=~".",j="foo"-4 112544418 116904010 +3.87% BenchmarkPostingsForMatchers/Block/n="1",i=~".",i!="2",j="foo"-4 112487086 116864918 +3.89% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 41094758 35457904 -13.72% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 41906372 36151473 -13.73% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 147262414 140424800 -4.64% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 28615629 27872072 -2.60% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 147117177 140462403 -4.52% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.",j="foo"-4 175096826 167902298 -4.11% benchmark old allocs new allocs delta BenchmarkPostingsForMatchers/Block/n="1"-4 4 6 +50.00% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 7 11 +57.14% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 15 17 +13.33% BenchmarkPostingsForMatchers/Block/i=~"."-4 100010 100012 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 200069 200040 -0.01% BenchmarkPostingsForMatchers/Block/i=~""-4 200072 200045 -0.01% BenchmarkPostingsForMatchers/Block/i!=""-4 200070 200041 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".",j="foo"-4 100013 100017 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".",i!="2",j="foo"-4 100017 100023 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 200073 200046 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 200075 200050 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 200074 200049 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 111165 111150 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 200078 200055 -0.01% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.",j="foo"-4 311282 311238 -0.01% benchmark old bytes new bytes delta BenchmarkPostingsForMatchers/Block/n="1"-4 264 296 +12.12% BenchmarkPostingsForMatchers/Block/n="1",j="foo"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/j="foo",n="1"-4 360 424 +17.78% BenchmarkPostingsForMatchers/Block/n="1",j!="foo"-4 520 552 +6.15% BenchmarkPostingsForMatchers/Block/i=~"."-4 1600461 1600482 +0.00% BenchmarkPostingsForMatchers/Block/i=~".+"-4 24900801 17259077 -30.69% BenchmarkPostingsForMatchers/Block/i=~""-4 24900836 17259151 -30.69% BenchmarkPostingsForMatchers/Block/i!=""-4 24900760 17259048 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".",j="foo"-4 1600557 1600621 +0.00% BenchmarkPostingsForMatchers/Block/n="1",i=~".",i!="2",j="foo"-4 1600717 1600813 +0.01% BenchmarkPostingsForMatchers/Block/n="1",i!=""-4 24900856 17259176 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i!="",j="foo"-4 24900952 17259304 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",j="foo"-4 24900993 17259333 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~"1.+",j="foo"-4 3788311 3142630 -17.04% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!="2",j="foo"-4 24901137 17259509 -30.69% BenchmarkPostingsForMatchers/Block/n="1",i=~".+",i!~"2.",j="foo"-4 28693086 20405680 -28.88% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>	5 years ago
Tom Wilkie	de0a772b8e	Port tsdb to use pkg/labels. (#6326 ) * Port tsdb to use pkg/labels. Signed-off-by: Tom Wilkie <tom.wilkie@gmail.com> * Get tests passing. Signed-off-by: Tom Wilkie <tom.wilkie@gmail.com> * Remove useless cast. Signed-off-by: Tom Wilkie <tom.wilkie@gmail.com> * Appease linters. Signed-off-by: Tom Wilkie <tom.wilkie@gmail.com> * Fix review comments Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>	5 years ago
Callum Styan	3344bb5c33	Move WAL watcher code to tsdb/wal package. (#5999 ) * Move WAL watcher code to tsdb/wal package. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Fix tests after moving WAL watcher code. Signed-off-by: Callum Styan <callumstyan@gmail.com> * Lint fixes. Signed-off-by: Callum Styan <callumstyan@gmail.com>	5 years ago
Ganesh Vernekar	5ecef3542d	Cleanup after merging tsdb into prometheus Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>	5 years ago
Ganesh Vernekar	7cf09b0395	Moving tsdb into its own subdirectory Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>	5 years ago

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67 Commits (5450e6d368e32e04f70f5a9d05e38796084eb7df)