| // Copyright (C) 2019 The Android Open Source Project |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| |
| import {assertTrue} from '../../base/logging'; |
| import {NUM} from '../../common/query_iterator'; |
| import {QueryResult} from '../../common/query_result'; |
| import {fromNs, toNs} from '../../common/time'; |
| import { |
| TrackController, |
| trackControllerRegistry |
| } from '../../controller/track_controller'; |
| |
| import { |
| Config, |
| Data, |
| PROCESS_SCHEDULING_TRACK_KIND, |
| } from './common'; |
| |
| // This summary is displayed for any processes that have CPU scheduling activity |
| // associated with them. |
| class ProcessSchedulingTrackController extends TrackController<Config, Data> { |
| static readonly kind = PROCESS_SCHEDULING_TRACK_KIND; |
| |
| private maxCpu = 0; |
| private maxDurNs = 0; |
| private cachedBucketNs = Number.MAX_SAFE_INTEGER; |
| |
| async onSetup() { |
| await this.createSchedView(); |
| |
| const cpus = await this.engine.getCpus(); |
| |
| // A process scheduling track should only exist in a trace that has cpus. |
| assertTrue(cpus.length > 0); |
| this.maxCpu = Math.max(...cpus) + 1; |
| |
| const result = (await this.queryV2(` |
| select ifnull(max(dur), 0) as maxDur, count(1) as count |
| from ${this.tableName('process_sched')} |
| `)).iter({maxDur: NUM, count: NUM}); |
| assertTrue(result.valid()); |
| this.maxDurNs = result.maxDur; |
| |
| const rowCount = result.count; |
| const bucketNs = this.cachedBucketSizeNs(rowCount); |
| if (bucketNs === undefined) { |
| return; |
| } |
| await this.queryV2(` |
| create table ${this.tableName('process_sched_cached')} as |
| select |
| (ts + ${bucketNs / 2}) / ${bucketNs} * ${bucketNs} as cached_tsq, |
| ts, |
| max(dur) as dur, |
| cpu, |
| utid |
| from ${this.tableName('process_sched')} |
| group by cached_tsq, cpu |
| order by cached_tsq, cpu |
| `); |
| this.cachedBucketNs = bucketNs; |
| } |
| |
| async onBoundsChange(start: number, end: number, resolution: number): |
| Promise<Data> { |
| assertTrue(this.config.upid !== null); |
| |
| // The resolution should always be a power of two for the logic of this |
| // function to make sense. |
| const resolutionNs = toNs(resolution); |
| assertTrue(Math.log2(resolutionNs) % 1 === 0); |
| |
| const startNs = toNs(start); |
| const endNs = toNs(end); |
| |
| // ns per quantization bucket (i.e. ns per pixel). /2 * 2 is to force it to |
| // be an even number, so we can snap in the middle. |
| const bucketNs = |
| Math.max(Math.round(resolutionNs * this.pxSize() / 2) * 2, 1); |
| |
| const queryRes = await this.queryData(startNs, endNs, bucketNs); |
| const numRows = queryRes.numRows(); |
| const slices: Data = { |
| kind: 'slice', |
| start, |
| end, |
| resolution, |
| length: numRows, |
| maxCpu: this.maxCpu, |
| starts: new Float64Array(numRows), |
| ends: new Float64Array(numRows), |
| cpus: new Uint32Array(numRows), |
| utids: new Uint32Array(numRows), |
| }; |
| |
| const it = queryRes.iter({ |
| tsq: NUM, |
| ts: NUM, |
| dur: NUM, |
| cpu: NUM, |
| utid: NUM, |
| }); |
| |
| for (let row = 0; it.valid(); it.next(), row++) { |
| const startNsQ = it.tsq; |
| const startNs = it.ts; |
| const durNs = it.dur; |
| const endNs = startNs + durNs; |
| |
| let endNsQ = Math.floor((endNs + bucketNs / 2 - 1) / bucketNs) * bucketNs; |
| endNsQ = Math.max(endNsQ, startNsQ + bucketNs); |
| |
| assertTrue(startNsQ !== endNsQ); |
| |
| slices.starts[row] = fromNs(startNsQ); |
| slices.ends[row] = fromNs(endNsQ); |
| slices.cpus[row] = it.cpu; |
| slices.utids[row] = it.utid; |
| slices.end = Math.max(slices.ends[row], slices.end); |
| } |
| return slices; |
| } |
| |
| private queryData(startNs: number, endNs: number, bucketNs: number): |
| Promise<QueryResult> { |
| const isCached = this.cachedBucketNs <= bucketNs; |
| const tsq = isCached ? `cached_tsq / ${bucketNs} * ${bucketNs}` : |
| `(ts + ${bucketNs / 2}) / ${bucketNs} * ${bucketNs}`; |
| const queryTable = isCached ? this.tableName('process_sched_cached') : |
| this.tableName('process_sched'); |
| const constraintColumn = isCached ? 'cached_tsq' : 'ts'; |
| return this.queryV2(` |
| select |
| ${tsq} as tsq, |
| ts, |
| max(dur) as dur, |
| cpu, |
| utid |
| from ${queryTable} |
| where |
| ${constraintColumn} >= ${startNs - this.maxDurNs} and |
| ${constraintColumn} <= ${endNs} |
| group by tsq, cpu |
| order by tsq, cpu |
| `); |
| } |
| |
| private async createSchedView() { |
| await this.queryV2(` |
| create view ${this.tableName('process_sched')} as |
| select ts, dur, cpu, utid |
| from experimental_sched_upid |
| where |
| utid != 0 and |
| upid = ${this.config.upid} |
| `); |
| } |
| } |
| |
| trackControllerRegistry.register(ProcessSchedulingTrackController); |