github/prometheus - prometheus - https://git.xinac.net

Author	SHA1	Message	Date
Brian Brazil	cf76daed2f	Avoid WriteAt for Postings. Flushing buffers and doing a pwrite per posting is expensive time wise, so go back to the old way for those. This doubles our memory usage, but that's still small as it's only ~8 bytes per time series in the index. This is 30-40% faster. benchmark old ns/op new ns/op delta BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1101429174 724362123 -34.23% BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1074466374 720977022 -32.90% BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1166510282 677702636 -41.90% BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1075013071 696855960 -35.18% BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1231673790 829328610 -32.67% benchmark old allocs new allocs delta BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 832571 731435 -12.15% BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 894875 793823 -11.29% BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 912931 811804 -11.08% BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 933511 832366 -10.83% BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1022791 921554 -9.90% benchmark old bytes new bytes delta BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 129063496 126472364 -2.01% BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 124154888 122300764 -1.49% BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 128790648 126394856 -1.86% BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 120570696 118946548 -1.35% BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 138754288 136317432 -1.76% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>	5 years ago
Brian Brazil	971dafdfbe	Coalesce series reads where we can. When compacting rather than doing a read of all series in the index per label name, do many at once but only when it won't use (much) more ram than writing the special all index does. original in-memory postings: BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1 1202383447 ns/op 158936496 B/op 1031511 allocs/op BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1 1141792706 ns/op 154453408 B/op 1093453 allocs/op BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1 1169288829 ns/op 161072336 B/op 1110021 allocs/op BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1 1115700103 ns/op 149480472 B/op 1129180 allocs/op BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1 1283813141 ns/op 162937800 B/op 1202771 allocs/op before: BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1 1145195941 ns/op 131749984 B/op 834400 allocs/op BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1 1233526345 ns/op 127889416 B/op 897033 allocs/op BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1 1821942296 ns/op 131665648 B/op 914836 allocs/op BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1 8035568665 ns/op 123811832 B/op 934312 allocs/op BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1 71325926267 ns/op 140722648 B/op 1016824 allocs/op after: BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 1 1101429174 ns/op 129063496 B/op 832571 allocs/op BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 1 1074466374 ns/op 124154888 B/op 894875 allocs/op BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 1 1166510282 ns/op 128790648 B/op 912931 allocs/op BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 1 1075013071 ns/op 120570696 B/op 933511 allocs/op BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 1 1231673790 ns/op 138754288 B/op 1022791 allocs/op 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
Brian Brazil	4df814f509	Don't buffer up tables in memory on compaction. (#6422 ) We can instead write it as we go, and then go back and write in the length at the end. Also fix the compaction benchmark, which indicates no changes. For the benchmark, this brings maximum memory usage of the buffers from ~200kB down to 128B. Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>	5 years ago
Ganesh Vernekar	7cf09b0395	Moving tsdb into its own subdirectory Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>	5 years ago