selftests/bpf: Add benchmark for local_storage get

Add a benchmarks to demonstrate the performance cliff for local_storage get as the number of local_storage maps increases beyond current local_storage implementation's cache size. "sequential get" and "interleaved get" benchmarks are added, both of which do many bpf_task_storage_get calls on sets of task local_storage maps of various counts, while considering a single specific map to be 'important' and counting task_storage_gets to the important map separately in addition to normal 'hits' count of all gets. Goal here is to mimic scenario where a particular program using one map - the important one - is running on a system where many other local_storage maps exist and are accessed often. While "sequential get" benchmark does bpf_task_storage_get for map 0, 1, ..., {9, 99, 999} in order, "interleaved" benchmark interleaves 4 bpf_task_storage_gets for the important map for every 10 map gets. This is meant to highlight performance differences when important map is accessed far more frequently than non-important maps. A "hashmap control" benchmark is also included for easy comparison of standard bpf hashmap lookup vs local_storage get. The benchmark is similar to "sequential get", but creates and uses BPF_MAP_TYPE_HASH instead of local storage. Only one inner map is created - a hashmap meant to hold tid -> data mapping for all tasks. Size of the hashmap is hardcoded to my system's PID_MAX_LIMIT (4,194,304). The number of these keys which are actually fetched as part of the benchmark is configurable. Addition of this benchmark is inspired by conversation with Alexei in a previous patchset's thread [0], which highlighted the need for such a benchmark to motivate and validate improvements to local_storage implementation. My approach in that series focused on improving performance for explicitly-marked 'important' maps and was rejected with feedback to make more generally-applicable improvements while avoiding explicitly marking maps as important. Thus the benchmark reports both general and important-map-focused metrics, so effect of future work on both is clear. Regarding the benchmark results. On a powerful system (Skylake, 20 cores, 256gb ram): Hashmap Control =============== num keys: 10 hashmap (control) sequential get: hits throughput: 20.900 ± 0.334 M ops/s, hits latency: 47.847 ns/op, important_hits throughput: 20.900 ± 0.334 M ops/s num keys: 1000 hashmap (control) sequential get: hits throughput: 13.758 ± 0.219 M ops/s, hits latency: 72.683 ns/op, important_hits throughput: 13.758 ± 0.219 M ops/s num keys: 10000 hashmap (control) sequential get: hits throughput: 6.995 ± 0.034 M ops/s, hits latency: 142.959 ns/op, important_hits throughput: 6.995 ± 0.034 M ops/s num keys: 100000 hashmap (control) sequential get: hits throughput: 4.452 ± 0.371 M ops/s, hits latency: 224.635 ns/op, important_hits throughput: 4.452 ± 0.371 M ops/s num keys: 4194304 hashmap (control) sequential get: hits throughput: 3.043 ± 0.033 M ops/s, hits latency: 328.587 ns/op, important_hits throughput: 3.043 ± 0.033 M ops/s Local Storage ============= num_maps: 1 local_storage cache sequential get: hits throughput: 47.298 ± 0.180 M ops/s, hits latency: 21.142 ns/op, important_hits throughput: 47.298 ± 0.180 M ops/s local_storage cache interleaved get: hits throughput: 55.277 ± 0.888 M ops/s, hits latency: 18.091 ns/op, important_hits throughput: 55.277 ± 0.888 M ops/s num_maps: 10 local_storage cache sequential get: hits throughput: 40.240 ± 0.802 M ops/s, hits latency: 24.851 ns/op, important_hits throughput: 4.024 ± 0.080 M ops/s local_storage cache interleaved get: hits throughput: 48.701 ± 0.722 M ops/s, hits latency: 20.533 ns/op, important_hits throughput: 17.393 ± 0.258 M ops/s num_maps: 16 local_storage cache sequential get: hits throughput: 44.515 ± 0.708 M ops/s, hits latency: 22.464 ns/op, important_hits throughput: 2.782 ± 0.044 M ops/s local_storage cache interleaved get: hits throughput: 49.553 ± 2.260 M ops/s, hits latency: 20.181 ns/op, important_hits throughput: 15.767 ± 0.719 M ops/s num_maps: 17 local_storage cache sequential get: hits throughput: 38.778 ± 0.302 M ops/s, hits latency: 25.788 ns/op, important_hits throughput: 2.284 ± 0.018 M ops/s local_storage cache interleaved get: hits throughput: 43.848 ± 1.023 M ops/s, hits latency: 22.806 ns/op, important_hits throughput: 13.349 ± 0.311 M ops/s num_maps: 24 local_storage cache sequential get: hits throughput: 19.317 ± 0.568 M ops/s, hits latency: 51.769 ns/op, important_hits throughput: 0.806 ± 0.024 M ops/s local_storage cache interleaved get: hits throughput: 24.397 ± 0.272 M ops/s, hits latency: 40.989 ns/op, important_hits throughput: 6.863 ± 0.077 M ops/s num_maps: 32 local_storage cache sequential get: hits throughput: 13.333 ± 0.135 M ops/s, hits latency: 75.000 ns/op, important_hits throughput: 0.417 ± 0.004 M ops/s local_storage cache interleaved get: hits throughput: 16.898 ± 0.383 M ops/s, hits latency: 59.178 ns/op, important_hits throughput: 4.717 ± 0.107 M ops/s num_maps: 100 local_storage cache sequential get: hits throughput: 6.360 ± 0.107 M ops/s, hits latency: 157.233 ns/op, important_hits throughput: 0.064 ± 0.001 M ops/s local_storage cache interleaved get: hits throughput: 7.303 ± 0.362 M ops/s, hits latency: 136.930 ns/op, important_hits throughput: 1.907 ± 0.094 M ops/s num_maps: 1000 local_storage cache sequential get: hits throughput: 0.452 ± 0.010 M ops/s, hits latency: 2214.022 ns/op, important_hits throughput: 0.000 ± 0.000 M ops/s local_storage cache interleaved get: hits throughput: 0.542 ± 0.007 M ops/s, hits latency: 1843.341 ns/op, important_hits throughput: 0.136 ± 0.002 M ops/s Looking at the "sequential get" results, it's clear that as the number of task local_storage maps grows beyond the current cache size (16), there's a significant reduction in hits throughput. Note that current local_storage implementation assigns a cache_idx to maps as they are created. Since "sequential get" is creating maps 0..n in order and then doing bpf_task_storage_get calls in the same order, the benchmark is effectively ensuring that a map will not be in cache when the program tries to access it. For "interleaved get" results, important-map hits throughput is greatly increased as the important map is more likely to be in cache by virtue of being accessed far more frequently. Throughput still reduces as # maps increases, though. To get a sense of the overhead of the benchmark program, I commented out bpf_task_storage_get/bpf_map_lookup_elem in local_storage_bench.c and ran the benchmark on the same host as the 'real' run. Results: Hashmap Control =============== num keys: 10 hashmap (control) sequential get: hits throughput: 54.288 ± 0.655 M ops/s, hits latency: 18.420 ns/op, important_hits throughput: 54.288 ± 0.655 M ops/s num keys: 1000 hashmap (control) sequential get: hits throughput: 52.913 ± 0.519 M ops/s, hits latency: 18.899 ns/op, important_hits throughput: 52.913 ± 0.519 M ops/s num keys: 10000 hashmap (control) sequential get: hits throughput: 53.480 ± 1.235 M ops/s, hits latency: 18.699 ns/op, important_hits throughput: 53.480 ± 1.235 M ops/s num keys: 100000 hashmap (control) sequential get: hits throughput: 54.982 ± 1.902 M ops/s, hits latency: 18.188 ns/op, important_hits throughput: 54.982 ± 1.902 M ops/s num keys: 4194304 hashmap (control) sequential get: hits throughput: 50.858 ± 0.707 M ops/s, hits latency: 19.662 ns/op, important_hits throughput: 50.858 ± 0.707 M ops/s Local Storage ============= num_maps: 1 local_storage cache sequential get: hits throughput: 110.990 ± 4.828 M ops/s, hits latency: 9.010 ns/op, important_hits throughput: 110.990 ± 4.828 M ops/s local_storage cache interleaved get: hits throughput: 161.057 ± 4.090 M ops/s, hits latency: 6.209 ns/op, important_hits throughput: 161.057 ± 4.090 M ops/s num_maps: 10 local_storage cache sequential get: hits throughput: 112.930 ± 1.079 M ops/s, hits latency: 8.855 ns/op, important_hits throughput: 11.293 ± 0.108 M ops/s local_storage cache interleaved get: hits throughput: 115.841 ± 2.088 M ops/s, hits latency: 8.633 ns/op, important_hits throughput: 41.372 ± 0.746 M ops/s num_maps: 16 local_storage cache sequential get: hits throughput: 115.653 ± 0.416 M ops/s, hits latency: 8.647 ns/op, important_hits throughput: 7.228 ± 0.026 M ops/s local_storage cache interleaved get: hits throughput: 138.717 ± 1.649 M ops/s, hits latency: 7.209 ns/op, important_hits throughput: 44.137 ± 0.525 M ops/s num_maps: 17 local_storage cache sequential get: hits throughput: 112.020 ± 1.649 M ops/s, hits latency: 8.927 ns/op, important_hits throughput: 6.598 ± 0.097 M ops/s local_storage cache interleaved get: hits throughput: 128.089 ± 1.960 M ops/s, hits latency: 7.807 ns/op, important_hits throughput: 38.995 ± 0.597 M ops/s num_maps: 24 local_storage cache sequential get: hits throughput: 92.447 ± 5.170 M ops/s, hits latency: 10.817 ns/op, important_hits throughput: 3.855 ± 0.216 M ops/s local_storage cache interleaved get: hits throughput: 128.844 ± 2.808 M ops/s, hits latency: 7.761 ns/op, important_hits throughput: 36.245 ± 0.790 M ops/s num_maps: 32 local_storage cache sequential get: hits throughput: 102.042 ± 1.462 M ops/s, hits latency: 9.800 ns/op, important_hits throughput: 3.194 ± 0.046 M ops/s local_storage cache interleaved get: hits throughput: 126.577 ± 1.818 M ops/s, hits latency: 7.900 ns/op, important_hits throughput: 35.332 ± 0.507 M ops/s num_maps: 100 local_storage cache sequential get: hits throughput: 111.327 ± 1.401 M ops/s, hits latency: 8.983 ns/op, important_hits throughput: 1.113 ± 0.014 M ops/s local_storage cache interleaved get: hits throughput: 131.327 ± 1.339 M ops/s, hits latency: 7.615 ns/op, important_hits throughput: 34.302 ± 0.350 M ops/s num_maps: 1000 local_storage cache sequential get: hits throughput: 101.978 ± 0.563 M ops/s, hits latency: 9.806 ns/op, important_hits throughput: 0.102 ± 0.001 M ops/s local_storage cache interleaved get: hits throughput: 141.084 ± 1.098 M ops/s, hits latency: 7.088 ns/op, important_hits throughput: 35.430 ± 0.276 M ops/s Adjusting for overhead, latency numbers for "hashmap control" and "sequential get" are: hashmap_control_1k: ~53.8ns hashmap_control_10k: ~124.2ns hashmap_control_100k: ~206.5ns sequential_get_1: ~12.1ns sequential_get_10: ~16.0ns sequential_get_16: ~13.8ns sequential_get_17: ~16.8ns sequential_get_24: ~40.9ns sequential_get_32: ~65.2ns sequential_get_100: ~148.2ns sequential_get_1000: ~2204ns Clearly demonstrating a cliff. In the discussion for v1 of this patch, Alexei noted that local_storage was 2.5x faster than a large hashmap when initially implemented [1]. The benchmark results show that local_storage is 5-10x faster: a long-running BPF application putting some pid-specific info into a hashmap for each pid it sees will probably see on the order of 10-100k pids. Bench numbers for hashmaps of this size are ~10x slower than sequential_get_16, but as the number of local_storage maps grows far past local_storage cache size the performance advantage shrinks and eventually reverses. When running the benchmarks it may be necessary to bump 'open files' ulimit for a successful run. [0]: https://lore.kernel.org/all/20220420002143.1096548-1-davemarchevsky@fb.com [1]: https://lore.kernel.org/bpf/20220511173305.ftldpn23m4ski3d3@MBP-98dd607d3435.dhcp.thefacebook.com/Signed-off-by: Dave Marchevsky <davemarchevsky@fb.com> Link: https://lore.kernel.org/r/20220620222554.270578-1-davemarchevsky@fb.comSigned-off-by: Alexei Starovoitov <ast@kernel.org>

selftests/bpf: Add benchmark for local_storage get
Add a benchmarks to demonstrate the performance cliff for local_storage get as the number of local_storage maps increases beyond current local_storage implementation's cache size. "sequential get" and "interleaved get" benchmarks are added, both of which do many bpf_task_storage_get calls on sets of task local_storage maps of various counts, while considering a single specific map to be 'important' and counting task_storage_gets to the important map separately in addition to normal 'hits' count of all gets. Goal here is to mimic scenario where a particular program using one map - the important one - is running on a system where many other local_storage maps exist and are accessed often. While "sequential get" benchmark does bpf_task_storage_get for map 0, 1, ..., {9, 99, 999} in order, "interleaved" benchmark interleaves 4 bpf_task_storage_gets for the important map for every 10 map gets. This is meant to highlight performance differences when important map is accessed far more frequently than non-important maps. A "hashmap control" benchmark is also included for easy comparison of standard bpf hashmap lookup vs local_storage get. The benchmark is similar to "sequential get", but creates and uses BPF_MAP_TYPE_HASH instead of local storage. Only one inner map is created - a hashmap meant to hold tid -> data mapping for all tasks. Size of the hashmap is hardcoded to my system's PID_MAX_LIMIT (4,194,304). The number of these keys which are actually fetched as part of the benchmark is configurable. Addition of this benchmark is inspired by conversation with Alexei in a previous patchset's thread [0], which highlighted the need for such a benchmark to motivate and validate improvements to local_storage implementation. My approach in that series focused on improving performance for explicitly-marked 'important' maps and was rejected with feedback to make more generally-applicable improvements while avoiding explicitly marking maps as important. Thus the benchmark reports both general and important-map-focused metrics, so effect of future work on both is clear. Regarding the benchmark results. On a powerful system (Skylake, 20 cores, 256gb ram): Hashmap Control =============== num keys: 10 hashmap (control) sequential get: hits throughput: 20.900 ± 0.334 M ops/s, hits latency: 47.847 ns/op, important_hits throughput: 20.900 ± 0.334 M ops/s num keys: 1000 hashmap (control) sequential get: hits throughput: 13.758 ± 0.219 M ops/s, hits latency: 72.683 ns/op, important_hits throughput: 13.758 ± 0.219 M ops/s num keys: 10000 hashmap (control) sequential get: hits throughput: 6.995 ± 0.034 M ops/s, hits latency: 142.959 ns/op, important_hits throughput: 6.995 ± 0.034 M ops/s num keys: 100000 hashmap (control) sequential get: hits throughput: 4.452 ± 0.371 M ops/s, hits latency: 224.635 ns/op, important_hits throughput: 4.452 ± 0.371 M ops/s num keys: 4194304 hashmap (control) sequential get: hits throughput: 3.043 ± 0.033 M ops/s, hits latency: 328.587 ns/op, important_hits throughput: 3.043 ± 0.033 M ops/s Local Storage ============= num_maps: 1 local_storage cache sequential get: hits throughput: 47.298 ± 0.180 M ops/s, hits latency: 21.142 ns/op, important_hits throughput: 47.298 ± 0.180 M ops/s local_storage cache interleaved get: hits throughput: 55.277 ± 0.888 M ops/s, hits latency: 18.091 ns/op, important_hits throughput: 55.277 ± 0.888 M ops/s num_maps: 10 local_storage cache sequential get: hits throughput: 40.240 ± 0.802 M ops/s, hits latency: 24.851 ns/op, important_hits throughput: 4.024 ± 0.080 M ops/s local_storage cache interleaved get: hits throughput: 48.701 ± 0.722 M ops/s, hits latency: 20.533 ns/op, important_hits throughput: 17.393 ± 0.258 M ops/s num_maps: 16 local_storage cache sequential get: hits throughput: 44.515 ± 0.708 M ops/s, hits latency: 22.464 ns/op, important_hits throughput: 2.782 ± 0.044 M ops/s local_storage cache interleaved get: hits throughput: 49.553 ± 2.260 M ops/s, hits latency: 20.181 ns/op, important_hits throughput: 15.767 ± 0.719 M ops/s num_maps: 17 local_storage cache sequential get: hits throughput: 38.778 ± 0.302 M ops/s, hits latency: 25.788 ns/op, important_hits throughput: 2.284 ± 0.018 M ops/s local_storage cache interleaved get: hits throughput: 43.848 ± 1.023 M ops/s, hits latency: 22.806 ns/op, important_hits throughput: 13.349 ± 0.311 M ops/s num_maps: 24 local_storage cache sequential get: hits throughput: 19.317 ± 0.568 M ops/s, hits latency: 51.769 ns/op, important_hits throughput: 0.806 ± 0.024 M ops/s local_storage cache interleaved get: hits throughput: 24.397 ± 0.272 M ops/s, hits latency: 40.989 ns/op, important_hits throughput: 6.863 ± 0.077 M ops/s num_maps: 32 local_storage cache sequential get: hits throughput: 13.333 ± 0.135 M ops/s, hits latency: 75.000 ns/op, important_hits throughput: 0.417 ± 0.004 M ops/s local_storage cache interleaved get: hits throughput: 16.898 ± 0.383 M ops/s, hits latency: 59.178 ns/op, important_hits throughput: 4.717 ± 0.107 M ops/s num_maps: 100 local_storage cache sequential get: hits throughput: 6.360 ± 0.107 M ops/s, hits latency: 157.233 ns/op, important_hits throughput: 0.064 ± 0.001 M ops/s local_storage cache interleaved get: hits throughput: 7.303 ± 0.362 M ops/s, hits latency: 136.930 ns/op, important_hits throughput: 1.907 ± 0.094 M ops/s num_maps: 1000 local_storage cache sequential get: hits throughput: 0.452 ± 0.010 M ops/s, hits latency: 2214.022 ns/op, important_hits throughput: 0.000 ± 0.000 M ops/s local_storage cache interleaved get: hits throughput: 0.542 ± 0.007 M ops/s, hits latency: 1843.341 ns/op, important_hits throughput: 0.136 ± 0.002 M ops/s Looking at the "sequential get" results, it's clear that as the number of task local_storage maps grows beyond the current cache size (16), there's a significant reduction in hits throughput. Note that current local_storage implementation assigns a cache_idx to maps as they are created. Since "sequential get" is creating maps 0..n in order and then doing bpf_task_storage_get calls in the same order, the benchmark is effectively ensuring that a map will not be in cache when the program tries to access it. For "interleaved get" results, important-map hits throughput is greatly increased as the important map is more likely to be in cache by virtue of being accessed far more frequently. Throughput still reduces as # maps increases, though. To get a sense of the overhead of the benchmark program, I commented out bpf_task_storage_get/bpf_map_lookup_elem in local_storage_bench.c and ran the benchmark on the same host as the 'real' run. Results: Hashmap Control =============== num keys: 10 hashmap (control) sequential get: hits throughput: 54.288 ± 0.655 M ops/s, hits latency: 18.420 ns/op, important_hits throughput: 54.288 ± 0.655 M ops/s num keys: 1000 hashmap (control) sequential get: hits throughput: 52.913 ± 0.519 M ops/s, hits latency: 18.899 ns/op, important_hits throughput: 52.913 ± 0.519 M ops/s num keys: 10000 hashmap (control) sequential get: hits throughput: 53.480 ± 1.235 M ops/s, hits latency: 18.699 ns/op, important_hits throughput: 53.480 ± 1.235 M ops/s num keys: 100000 hashmap (control) sequential get: hits throughput: 54.982 ± 1.902 M ops/s, hits latency: 18.188 ns/op, important_hits throughput: 54.982 ± 1.902 M ops/s num keys: 4194304 hashmap (control) sequential get: hits throughput: 50.858 ± 0.707 M ops/s, hits latency: 19.662 ns/op, important_hits throughput: 50.858 ± 0.707 M ops/s Local Storage ============= num_maps: 1 local_storage cache sequential get: hits throughput: 110.990 ± 4.828 M ops/s, hits latency: 9.010 ns/op, important_hits throughput: 110.990 ± 4.828 M ops/s local_storage cache interleaved get: hits throughput: 161.057 ± 4.090 M ops/s, hits latency: 6.209 ns/op, important_hits throughput: 161.057 ± 4.090 M ops/s num_maps: 10 local_storage cache sequential get: hits throughput: 112.930 ± 1.079 M ops/s, hits latency: 8.855 ns/op, important_hits throughput: 11.293 ± 0.108 M ops/s local_storage cache interleaved get: hits throughput: 115.841 ± 2.088 M ops/s, hits latency: 8.633 ns/op, important_hits throughput: 41.372 ± 0.746 M ops/s num_maps: 16 local_storage cache sequential get: hits throughput: 115.653 ± 0.416 M ops/s, hits latency: 8.647 ns/op, important_hits throughput: 7.228 ± 0.026 M ops/s local_storage cache interleaved get: hits throughput: 138.717 ± 1.649 M ops/s, hits latency: 7.209 ns/op, important_hits throughput: 44.137 ± 0.525 M ops/s num_maps: 17 local_storage cache sequential get: hits throughput: 112.020 ± 1.649 M ops/s, hits latency: 8.927 ns/op, important_hits throughput: 6.598 ± 0.097 M ops/s local_storage cache interleaved get: hits throughput: 128.089 ± 1.960 M ops/s, hits latency: 7.807 ns/op, important_hits throughput: 38.995 ± 0.597 M ops/s num_maps: 24 local_storage cache sequential get: hits throughput: 92.447 ± 5.170 M ops/s, hits latency: 10.817 ns/op, important_hits throughput: 3.855 ± 0.216 M ops/s local_storage cache interleaved get: hits throughput: 128.844 ± 2.808 M ops/s, hits latency: 7.761 ns/op, important_hits throughput: 36.245 ± 0.790 M ops/s num_maps: 32 local_storage cache sequential get: hits throughput: 102.042 ± 1.462 M ops/s, hits latency: 9.800 ns/op, important_hits throughput: 3.194 ± 0.046 M ops/s local_storage cache interleaved get: hits throughput: 126.577 ± 1.818 M ops/s, hits latency: 7.900 ns/op, important_hits throughput: 35.332 ± 0.507 M ops/s num_maps: 100 local_storage cache sequential get: hits throughput: 111.327 ± 1.401 M ops/s, hits latency: 8.983 ns/op, important_hits throughput: 1.113 ± 0.014 M ops/s local_storage cache interleaved get: hits throughput: 131.327 ± 1.339 M ops/s, hits latency: 7.615 ns/op, important_hits throughput: 34.302 ± 0.350 M ops/s num_maps: 1000 local_storage cache sequential get: hits throughput: 101.978 ± 0.563 M ops/s, hits latency: 9.806 ns/op, important_hits throughput: 0.102 ± 0.001 M ops/s local_storage cache interleaved get: hits throughput: 141.084 ± 1.098 M ops/s, hits latency: 7.088 ns/op, important_hits throughput: 35.430 ± 0.276 M ops/s Adjusting for overhead, latency numbers for "hashmap control" and "sequential get" are: hashmap_control_1k: ~53.8ns hashmap_control_10k: ~124.2ns hashmap_control_100k: ~206.5ns sequential_get_1: ~12.1ns sequential_get_10: ~16.0ns sequential_get_16: ~13.8ns sequential_get_17: ~16.8ns sequential_get_24: ~40.9ns sequential_get_32: ~65.2ns sequential_get_100: ~148.2ns sequential_get_1000: ~2204ns Clearly demonstrating a cliff. In the discussion for v1 of this patch, Alexei noted that local_storage was 2.5x faster than a large hashmap when initially implemented [1]. The benchmark results show that local_storage is 5-10x faster: a long-running BPF application putting some pid-specific info into a hashmap for each pid it sees will probably see on the order of 10-100k pids. Bench numbers for hashmaps of this size are ~10x slower than sequential_get_16, but as the number of local_storage maps grows far past local_storage cache size the performance advantage shrinks and eventually reverses. When running the benchmarks it may be necessary to bump 'open files' ulimit for a successful run. [0]: https://lore.kernel.org/all/20220420002143.1096548-1-davemarchevsky@fb.com [1]: https://lore.kernel.org/bpf/20220511173305.ftldpn23m4ski3d3@MBP-98dd607d3435.dhcp.thefacebook.com/Signed-off-by: Dave Marchevsky <davemarchevsky@fb.com> Link: https://lore.kernel.org/r/20220620222554.270578-1-davemarchevsky@fb.comSigned-off-by: Alexei Starovoitov <ast@kernel.org>
73087489 · Dave Marchevsky · Alexei Starovoitov · 77225174 · 73087489 · 73087489
Commit 73087489 authored Jun 20, 2022 by Dave Marchevsky Committed by Alexei Starovoitov Jun 22, 2022
7 changed files
--- a/tools/testing/selftests/bpf/Makefile
+++ b/tools/testing/selftests/bpf/Makefile
@@ -571,6 +571,7 @@ $(OUTPUT)/bench_bloom_filter_map.o: $(OUTPUT)/bloom_filter_bench.skel.h
 $(OUTPUT)/bench_bpf_loop.o: $(OUTPUT)/bpf_loop_bench.skel.h
 $(OUTPUT)/bench_strncmp.o: $(OUTPUT)/strncmp_bench.skel.h
 $(OUTPUT)/bench_bpf_hashmap_full_update.o: $(OUTPUT)/bpf_hashmap_full_update_bench.skel.h
+$(OUTPUT)/bench_local_storage.o: $(OUTPUT)/local_storage_bench.skel.h
 $(OUTPUT)/bench.o: bench.h testing_helpers.h $(BPFOBJ)
 $(OUTPUT)/bench: LDLIBS += -lm
 $(OUTPUT)/bench: $(OUTPUT)/bench.o \
@@ -583,7 +584,8 @@ $(OUTPUT)/bench: $(OUTPUT)/bench.o \
 		 $(OUTPUT)/bench_bloom_filter_map.o \
 		 $(OUTPUT)/bench_bpf_loop.o \
 		 $(OUTPUT)/bench_strncmp.o \
-		 $(OUTPUT)/bench_bpf_hashmap_full_update.o
+		 $(OUTPUT)/bench_bpf_hashmap_full_update.o \
+		 $(OUTPUT)/bench_local_storage.o
 	$(call msg,BINARY,,$@)
 	$(Q)$(CC) $(CFLAGS) $(LDFLAGS) $(filter %.a %.o,$^) $(LDLIBS) -o $@


--- a/tools/testing/selftests/bpf/bench.c
+++ b/tools/testing/selftests/bpf/bench.c
@@ -150,6 +150,53 @@ void ops_report_final(struct bench_res res[], int res_cnt)
 	printf("latency %8.3lf ns/op\n", 1000.0 / hits_mean * env.producer_cnt);
 }

+void local_storage_report_progress(int iter, struct bench_res *res,
+				   long delta_ns)
+{
+	double important_hits_per_sec, hits_per_sec;
+	double delta_sec = delta_ns / 1000000000.0;
+
+	hits_per_sec = res->hits / 1000000.0 / delta_sec;
+	important_hits_per_sec = res->important_hits / 1000000.0 / delta_sec;
+
+	printf("Iter %3d (%7.3lfus): ", iter, (delta_ns - 1000000000) / 1000.0);
+
+	printf("hits %8.3lfM/s ", hits_per_sec);
+	printf("important_hits %8.3lfM/s\n", important_hits_per_sec);
+}
+
+void local_storage_report_final(struct bench_res res[], int res_cnt)
+{
+	double important_hits_mean = 0.0, important_hits_stddev = 0.0;
+	double hits_mean = 0.0, hits_stddev = 0.0;
+	int i;
+
+	for (i = 0; i < res_cnt; i++) {
+		hits_mean += res[i].hits / 1000000.0 / (0.0 + res_cnt);
+		important_hits_mean += res[i].important_hits / 1000000.0 / (0.0 + res_cnt);
+	}
+
+	if (res_cnt > 1)  {
+		for (i = 0; i < res_cnt; i++) {
+			hits_stddev += (hits_mean - res[i].hits / 1000000.0) *
+				       (hits_mean - res[i].hits / 1000000.0) /
+				       (res_cnt - 1.0);
+			important_hits_stddev +=
+				       (important_hits_mean - res[i].important_hits / 1000000.0) *
+				       (important_hits_mean - res[i].important_hits / 1000000.0) /
+				       (res_cnt - 1.0);
+		}
+
+		hits_stddev = sqrt(hits_stddev);
+		important_hits_stddev = sqrt(important_hits_stddev);
+	}
+	printf("Summary: hits throughput %8.3lf \u00B1 %5.3lf M ops/s, ",
+	       hits_mean, hits_stddev);
+	printf("hits latency %8.3lf ns/op, ", 1000.0 / hits_mean);
+	printf("important_hits throughput %8.3lf \u00B1 %5.3lf M ops/s\n",
+	       important_hits_mean, important_hits_stddev);
+}
+
 const char *argp_program_version = "benchmark";
 const char *argp_program_bug_address = "<bpf@vger.kernel.org>";
 const char argp_program_doc[] =
@@ -188,12 +235,14 @@ static const struct argp_option opts[] = {
 extern struct argp bench_ringbufs_argp;
 extern struct argp bench_bloom_map_argp;
 extern struct argp bench_bpf_loop_argp;
+extern struct argp bench_local_storage_argp;
 extern struct argp bench_strncmp_argp;

 static const struct argp_child bench_parsers[] = {
 	{ &bench_ringbufs_argp, 0, "Ring buffers benchmark", 0 },
 	{ &bench_bloom_map_argp, 0, "Bloom filter map benchmark", 0 },
 	{ &bench_bpf_loop_argp, 0, "bpf_loop helper benchmark", 0 },
+	{ &bench_local_storage_argp, 0, "local_storage benchmark", 0 },
 	{ &bench_strncmp_argp, 0, "bpf_strncmp helper benchmark", 0 },
 	{},
 };
@@ -397,6 +446,9 @@ extern const struct bench bench_bpf_loop;
 extern const struct bench bench_strncmp_no_helper;
 extern const struct bench bench_strncmp_helper;
 extern const struct bench bench_bpf_hashmap_full_update;
+extern const struct bench bench_local_storage_cache_seq_get;
+extern const struct bench bench_local_storage_cache_interleaved_get;
+extern const struct bench bench_local_storage_cache_hashmap_control;

 static const struct bench *benchs[] = {
 	&bench_count_global,
@@ -432,6 +484,9 @@ static const struct bench *benchs[] = {
 	&bench_strncmp_no_helper,
 	&bench_strncmp_helper,
 	&bench_bpf_hashmap_full_update,
+	&bench_local_storage_cache_seq_get,
+	&bench_local_storage_cache_interleaved_get,
+	&bench_local_storage_cache_hashmap_control,
 };

 static void setup_benchmark()

--- a/tools/testing/selftests/bpf/bench.h
+++ b/tools/testing/selftests/bpf/bench.h
@@ -34,6 +34,7 @@ struct bench_res {
 	long hits;
 	long drops;
 	long false_hits;
+	long important_hits;
 };

 struct bench {
@@ -61,6 +62,9 @@ void false_hits_report_progress(int iter, struct bench_res *res, long delta_ns);
 void false_hits_report_final(struct bench_res res[], int res_cnt);
 void ops_report_progress(int iter, struct bench_res *res, long delta_ns);
 void ops_report_final(struct bench_res res[], int res_cnt);
+void local_storage_report_progress(int iter, struct bench_res *res,
+				   long delta_ns);
+void local_storage_report_final(struct bench_res res[], int res_cnt);

 static inline __u64 get_time_ns(void)
 {

--- a/tools/testing/selftests/bpf/benchs/bench_local_storage.c
+++ b/tools/testing/selftests/bpf/benchs/bench_local_storage.c
+// SPDX-License-Identifier: GPL-2.0
+/* Copyright (c) 2022 Meta Platforms, Inc. and affiliates. */
+
+#include <argp.h>
+#include <linux/btf.h>
+
+#include "local_storage_bench.skel.h"
+#include "bench.h"
+
+#include <test_btf.h>
+
+static struct {
+	__u32 nr_maps;
+	__u32 hashmap_nr_keys_used;
+} args = {
+	.nr_maps = 1000,
+	.hashmap_nr_keys_used = 1000,
+};
+
+enum {
+	ARG_NR_MAPS = 6000,
+	ARG_HASHMAP_NR_KEYS_USED = 6001,
+};
+
+static const struct argp_option opts[] = {
+	{ "nr_maps", ARG_NR_MAPS, "NR_MAPS", 0,
+		"Set number of local_storage maps"},
+	{ "hashmap_nr_keys_used", ARG_HASHMAP_NR_KEYS_USED, "NR_KEYS",
+		0, "When doing hashmap test, set number of hashmap keys test uses"},
+	{},
+};
+
+static error_t parse_arg(int key, char *arg, struct argp_state *state)
+{
+	long ret;
+
+	switch (key) {
+	case ARG_NR_MAPS:
+		ret = strtol(arg, NULL, 10);
+		if (ret < 1 || ret > UINT_MAX) {
+			fprintf(stderr, "invalid nr_maps");
+			argp_usage(state);
+		}
+		args.nr_maps = ret;
+		break;
+	case ARG_HASHMAP_NR_KEYS_USED:
+		ret = strtol(arg, NULL, 10);
+		if (ret < 1 || ret > UINT_MAX) {
+			fprintf(stderr, "invalid hashmap_nr_keys_used");
+			argp_usage(state);
+		}
+		args.hashmap_nr_keys_used = ret;
+		break;
+	default:
+		return ARGP_ERR_UNKNOWN;
+	}
+
+	return 0;
+}
+
+const struct argp bench_local_storage_argp = {
+	.options = opts,
+	.parser = parse_arg,
+};
+
+/* Keep in sync w/ array of maps in bpf */
+#define MAX_NR_MAPS 1000
+/* keep in sync w/ same define in bpf */
+#define HASHMAP_SZ 4194304
+
+static void validate(void)
+{
+	if (env.producer_cnt != 1) {
+		fprintf(stderr, "benchmark doesn't support multi-producer!\n");
+		exit(1);
+	}
+	if (env.consumer_cnt != 1) {
+		fprintf(stderr, "benchmark doesn't support multi-consumer!\n");
+		exit(1);
+	}
+
+	if (args.nr_maps > MAX_NR_MAPS) {
+		fprintf(stderr, "nr_maps must be <= 1000\n");
+		exit(1);
+	}
+
+	if (args.hashmap_nr_keys_used > HASHMAP_SZ) {
+		fprintf(stderr, "hashmap_nr_keys_used must be <= %u\n", HASHMAP_SZ);
+		exit(1);
+	}
+}
+
+static struct {
+	struct local_storage_bench *skel;
+	void *bpf_obj;
+	struct bpf_map *array_of_maps;
+} ctx;
+
+static void prepopulate_hashmap(int fd)
+{
+	int i, key, val;
+
+	/* local_storage gets will have BPF_LOCAL_STORAGE_GET_F_CREATE flag set, so
+	 * populate the hashmap for a similar comparison
+	 */
+	for (i = 0; i < HASHMAP_SZ; i++) {
+		key = val = i;
+		if (bpf_map_update_elem(fd, &key, &val, 0)) {
+			fprintf(stderr, "Error prepopulating hashmap (key %d)\n", key);
+			exit(1);
+		}
+	}
+}
+
+static void __setup(struct bpf_program *prog, bool hashmap)
+{
+	struct bpf_map *inner_map;
+	int i, fd, mim_fd, err;
+
+	LIBBPF_OPTS(bpf_map_create_opts, create_opts);
+
+	if (!hashmap)
+		create_opts.map_flags = BPF_F_NO_PREALLOC;
+
+	ctx.skel->rodata->num_maps = args.nr_maps;
+	ctx.skel->rodata->hashmap_num_keys = args.hashmap_nr_keys_used;
+	inner_map = bpf_map__inner_map(ctx.array_of_maps);
+	create_opts.btf_key_type_id = bpf_map__btf_key_type_id(inner_map);
+	create_opts.btf_value_type_id = bpf_map__btf_value_type_id(inner_map);
+
+	err = local_storage_bench__load(ctx.skel);
+	if (err) {
+		fprintf(stderr, "Error loading skeleton\n");
+		goto err_out;
+	}
+
+	create_opts.btf_fd = bpf_object__btf_fd(ctx.skel->obj);
+
+	mim_fd = bpf_map__fd(ctx.array_of_maps);
+	if (mim_fd < 0) {
+		fprintf(stderr, "Error getting map_in_map fd\n");
+		goto err_out;
+	}
+
+	for (i = 0; i < args.nr_maps; i++) {
+		if (hashmap)
+			fd = bpf_map_create(BPF_MAP_TYPE_HASH, NULL, sizeof(int),
+					    sizeof(int), HASHMAP_SZ, &create_opts);
+		else
+			fd = bpf_map_create(BPF_MAP_TYPE_TASK_STORAGE, NULL, sizeof(int),
+					    sizeof(int), 0, &create_opts);
+		if (fd < 0) {
+			fprintf(stderr, "Error creating map %d: %d\n", i, fd);
+			goto err_out;
+		}
+
+		if (hashmap)
+			prepopulate_hashmap(fd);
+
+		err = bpf_map_update_elem(mim_fd, &i, &fd, 0);
+		if (err) {
+			fprintf(stderr, "Error updating array-of-maps w/ map %d\n", i);
+			goto err_out;
+		}
+	}
+
+	if (!bpf_program__attach(prog)) {
+		fprintf(stderr, "Error attaching bpf program\n");
+		goto err_out;
+	}
+
+	return;
+err_out:
+	exit(1);
+}
+
+static void hashmap_setup(void)
+{
+	struct local_storage_bench *skel;
+
+	setup_libbpf();
+
+	skel = local_storage_bench__open();
+	ctx.skel = skel;
+	ctx.array_of_maps = skel->maps.array_of_hash_maps;
+	skel->rodata->use_hashmap = 1;
+	skel->rodata->interleave = 0;
+
+	__setup(skel->progs.get_local, true);
+}
+
+static void local_storage_cache_get_setup(void)
+{
+	struct local_storage_bench *skel;
+
+	setup_libbpf();
+
+	skel = local_storage_bench__open();
+	ctx.skel = skel;
+	ctx.array_of_maps = skel->maps.array_of_local_storage_maps;
+	skel->rodata->use_hashmap = 0;
+	skel->rodata->interleave = 0;
+
+	__setup(skel->progs.get_local, false);
+}
+
+static void local_storage_cache_get_interleaved_setup(void)
+{
+	struct local_storage_bench *skel;
+
+	setup_libbpf();
+
+	skel = local_storage_bench__open();
+	ctx.skel = skel;
+	ctx.array_of_maps = skel->maps.array_of_local_storage_maps;
+	skel->rodata->use_hashmap = 0;
+	skel->rodata->interleave = 1;
+
+	__setup(skel->progs.get_local, false);
+}
+
+static void measure(struct bench_res *res)
+{
+	res->hits = atomic_swap(&ctx.skel->bss->hits, 0);
+	res->important_hits = atomic_swap(&ctx.skel->bss->important_hits, 0);
+}
+
+static inline void trigger_bpf_program(void)
+{
+	syscall(__NR_getpgid);
+}
+
+static void *consumer(void *input)
+{
+	return NULL;
+}
+
+static void *producer(void *input)
+{
+	while (true)
+		trigger_bpf_program();
+
+	return NULL;
+}
+
+/* cache sequential and interleaved get benchs test local_storage get
+ * performance, specifically they demonstrate performance cliff of
+ * current list-plus-cache local_storage model.
+ *
+ * cache sequential get: call bpf_task_storage_get on n maps in order
+ * cache interleaved get: like "sequential get", but interleave 4 calls to the
+ *	'important' map (idx 0 in array_of_maps) for every 10 calls. Goal
+ *	is to mimic environment where many progs are accessing their local_storage
+ *	maps, with 'our' prog needing to access its map more often than others
+ */
+const struct bench bench_local_storage_cache_seq_get = {
+	.name = "local-storage-cache-seq-get",
+	.validate = validate,
+	.setup = local_storage_cache_get_setup,
+	.producer_thread = producer,
+	.consumer_thread = consumer,
+	.measure = measure,
+	.report_progress = local_storage_report_progress,
+	.report_final = local_storage_report_final,
+};
+
+const struct bench bench_local_storage_cache_interleaved_get = {
+	.name = "local-storage-cache-int-get",
+	.validate = validate,
+	.setup = local_storage_cache_get_interleaved_setup,
+	.producer_thread = producer,
+	.consumer_thread = consumer,
+	.measure = measure,
+	.report_progress = local_storage_report_progress,
+	.report_final = local_storage_report_final,
+};
+
+const struct bench bench_local_storage_cache_hashmap_control = {
+	.name = "local-storage-cache-hashmap-control",
+	.validate = validate,
+	.setup = hashmap_setup,
+	.producer_thread = producer,
+	.consumer_thread = consumer,
+	.measure = measure,
+	.report_progress = local_storage_report_progress,
+	.report_final = local_storage_report_final,
+};
--- a/tools/testing/selftests/bpf/benchs/run_bench_local_storage.sh
+++ b/tools/testing/selftests/bpf/benchs/run_bench_local_storage.sh
+#!/bin/bash
+# SPDX-License-Identifier: GPL-2.0
+
+source ./benchs/run_common.sh
+
+set -eufo pipefail
+
+header "Hashmap Control"
+for i in 10 1000 10000 100000 4194304; do
+subtitle "num keys: $i"
+	summarize_local_storage "hashmap (control) sequential    get: "\
+		"$(./bench --nr_maps 1 --hashmap_nr_keys_used=$i local-storage-cache-hashmap-control)"
+	printf "\n"
+done
+
+header "Local Storage"
+for i in 1 10 16 17 24 32 100 1000; do
+subtitle "num_maps: $i"
+	summarize_local_storage "local_storage cache sequential  get: "\
+		"$(./bench --nr_maps $i local-storage-cache-seq-get)"
+	summarize_local_storage "local_storage cache interleaved get: "\
+		"$(./bench --nr_maps $i local-storage-cache-int-get)"
+	printf "\n"
+done
--- a/tools/testing/selftests/bpf/benchs/run_common.sh
+++ b/tools/testing/selftests/bpf/benchs/run_common.sh
@@ -41,6 +41,16 @@ function ops()
 	echo "$*" | sed -E "s/.*latency\s+([0-9]+\.[0-9]+\sns\/op).*/\1/"
 }

+function local_storage()
+{
+	echo -n "hits throughput: "
+	echo -n "$*" | sed -E "s/.* hits throughput\s+([0-9]+\.[0-9]+ ± [0-9]+\.[0-9]+\sM\sops\/s).*/\1/"
+	echo -n -e ", hits latency: "
+	echo -n "$*" | sed -E "s/.* hits latency\s+([0-9]+\.[0-9]+\sns\/op).*/\1/"
+	echo -n ", important_hits throughput: "
+	echo "$*" | sed -E "s/.*important_hits throughput\s+([0-9]+\.[0-9]+ ± [0-9]+\.[0-9]+\sM\sops\/s).*/\1/"
+}
+
 function total()
 {
 	echo "$*" | sed -E "s/.*total operations\s+([0-9]+\.[0-9]+ ± [0-9]+\.[0-9]+M\/s).*/\1/"
@@ -67,6 +77,13 @@ function summarize_ops()
 	printf "%-20s %s\n" "$bench" "$(ops $summary)"
 }

+function summarize_local_storage()
+{
+	bench="$1"
+	summary=$(echo $2 | tail -n1)
+	printf "%-20s %s\n" "$bench" "$(local_storage $summary)"
+}
+
 function summarize_total()
 {
 	bench="$1"

--- a/tools/testing/selftests/bpf/progs/local_storage_bench.c
+++ b/tools/testing/selftests/bpf/progs/local_storage_bench.c
+// SPDX-License-Identifier: GPL-2.0
+/* Copyright (c) 2022 Meta Platforms, Inc. and affiliates. */
+
+#include "vmlinux.h"
+#include <bpf/bpf_helpers.h>
+#include "bpf_misc.h"
+
+#define HASHMAP_SZ 4194304
+
+struct {
+	__uint(type, BPF_MAP_TYPE_ARRAY_OF_MAPS);
+	__uint(max_entries, 1000);
+	__type(key, int);
+	__type(value, int);
+	__array(values, struct {
+		__uint(type, BPF_MAP_TYPE_TASK_STORAGE);
+		__uint(map_flags, BPF_F_NO_PREALLOC);
+		__type(key, int);
+		__type(value, int);
+	});
+} array_of_local_storage_maps SEC(".maps");
+
+struct {
+	__uint(type, BPF_MAP_TYPE_ARRAY_OF_MAPS);
+	__uint(max_entries, 1000);
+	__type(key, int);
+	__type(value, int);
+	__array(values, struct {
+		__uint(type, BPF_MAP_TYPE_HASH);
+		__uint(max_entries, HASHMAP_SZ);
+		__type(key, int);
+		__type(value, int);
+	});
+} array_of_hash_maps SEC(".maps");
+
+long important_hits;
+long hits;
+
+/* set from user-space */
+const volatile unsigned int use_hashmap;
+const volatile unsigned int hashmap_num_keys;
+const volatile unsigned int num_maps;
+const volatile unsigned int interleave;
+
+struct loop_ctx {
+	struct task_struct *task;
+	long loop_hits;
+	long loop_important_hits;
+};
+
+static int do_lookup(unsigned int elem, struct loop_ctx *lctx)
+{
+	void *map, *inner_map;
+	int idx = 0;
+
+	if (use_hashmap)
+		map = &array_of_hash_maps;
+	else
+		map = &array_of_local_storage_maps;
+
+	inner_map = bpf_map_lookup_elem(map, &elem);
+	if (!inner_map)
+		return -1;
+
+	if (use_hashmap) {
+		idx = bpf_get_prandom_u32() % hashmap_num_keys;
+		bpf_map_lookup_elem(inner_map, &idx);
+	} else {
+		bpf_task_storage_get(inner_map, lctx->task, &idx,
+				     BPF_LOCAL_STORAGE_GET_F_CREATE);
+	}
+
+	lctx->loop_hits++;
+	if (!elem)
+		lctx->loop_important_hits++;
+	return 0;
+}
+
+static long loop(u32 index, void *ctx)
+{
+	struct loop_ctx *lctx = (struct loop_ctx *)ctx;
+	unsigned int map_idx = index % num_maps;
+
+	do_lookup(map_idx, lctx);
+	if (interleave && map_idx % 3 == 0)
+		do_lookup(0, lctx);
+	return 0;
+}
+
+SEC("fentry/" SYS_PREFIX "sys_getpgid")
+int get_local(void *ctx)
+{
+	struct loop_ctx lctx;
+
+	lctx.task = bpf_get_current_task_btf();
+	lctx.loop_hits = 0;
+	lctx.loop_important_hits = 0;
+	bpf_loop(10000, &loop, &lctx, 0);
+	__sync_add_and_fetch(&hits, lctx.loop_hits);
+	__sync_add_and_fetch(&important_hits, lctx.loop_important_hits);
+	return 0;
+}
+
+char _license[] SEC("license") = "GPL";