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// 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 {fromNs} from '../../common/time';
import {
TrackController,
trackControllerRegistry
} from '../../controller/track_controller';
import {
Config,
CPU_FREQ_TRACK_KIND,
Data,
} from './common';
class CpuFreqTrackController extends TrackController<Config, Data> {
static readonly kind = CPU_FREQ_TRACK_KIND;
private busy = false;
private setup = false;
private maximumValueSeen = 0;
onBoundsChange(start: number, end: number, resolution: number): void {
this.update(start, end, resolution);
}
private async update(start: number, end: number, resolution: number):
Promise<void> {
// TODO: we should really call TraceProcessor.Interrupt() at this point.
if (this.busy) return;
const startNs = Math.round(start * 1e9);
const endNs = Math.round(end * 1e9);
this.busy = true;
if (!this.setup) {
const result = await this.query(`
select max(value) from
counters where name = 'cpufreq'
and ref = ${this.config.cpu}`);
this.maximumValueSeen = +result.columns[0].doubleValues![0];
await this.query(
`create virtual table ${this.tableName('window')} using window;`);
await this.query(`create view ${this.tableName('freq')}
as select
ts,
lead(ts) over (order by ts) - ts as dur,
ref as cpu,
name as freq_name,
value as freq_value
from counters
where name = 'cpufreq'
and ref = ${this.config.cpu}
and ref_type = 'cpu';
`);
await this.query(`create view ${this.tableName('idle')}
as select
ts,
lead(ts) over (order by ts) - ts as dur,
ref as cpu,
name as idle_name,
value as idle_value
from counters
where name = 'cpuidle'
and ref = ${this.config.cpu}
and ref_type = 'cpu';
`);
await this.query(`create virtual table ${this.tableName('freq_idle')}
using span_join(${this.tableName('freq')} PARTITIONED cpu,
${this.tableName('idle')} PARTITIONED cpu);`);
await this.query(`create virtual table ${this.tableName('span_activity')}
using span_join(${this.tableName('freq_idle')} PARTITIONED cpu,
${this.tableName('window')});`);
// TODO(taylori): Move the idle value processing to the TP.
await this.query(`create view ${this.tableName('activity')}
as select
ts,
dur,
quantum_ts,
cpu,
case idle_value
when 4294967295 then -1
else idle_value
end as idle,
freq_value as freq
from ${this.tableName('span_activity')};
`);
this.setup = true;
}
const isQuantized = this.shouldSummarize(resolution);
// |resolution| is in s/px we want # ns for 10px window:
const bucketSizeNs = Math.round(resolution * 10 * 1e9);
let windowStartNs = startNs;
if (isQuantized) {
windowStartNs = Math.floor(windowStartNs / bucketSizeNs) * bucketSizeNs;
}
const windowDurNs = Math.max(1, endNs - windowStartNs);
this.query(`update ${this.tableName('window')} set
window_start = ${startNs},
window_dur = ${windowDurNs},
quantum = ${isQuantized ? bucketSizeNs : 0}`);
// Cast as double to avoid problem where values are sometimes
// doubles, sometimes longs.
let query = `select ts, dur, cast(idle as DOUBLE), freq
from ${this.tableName('activity')}`;
if (isQuantized) {
query = `select
min(ts) as ts,
sum(dur) as dur,
case
when min(idle) = -1 then cast(-1 as DOUBLE)
else cast(0 as DOUBLE)
end as idle,
sum(weighted_freq)/sum(dur) as freq_avg,
quantum_ts
from (
select
ts,
dur,
quantum_ts,
freq*dur as weighted_freq,
idle
from ${this.tableName('activity')})
group by quantum_ts`;
}
const freqResult = await this.query(query);
const numRows = +freqResult.numRecords;
const data: Data = {
start,
end,
maximumValue: this.maximumValue(),
resolution,
isQuantized,
tsStarts: new Float64Array(numRows),
tsEnds: new Float64Array(numRows),
idles: new Int8Array(numRows),
freqKHz: new Uint32Array(numRows),
};
const cols = freqResult.columns;
for (let row = 0; row < numRows; row++) {
const startSec = fromNs(+cols[0].longValues![row]);
data.tsStarts[row] = startSec;
data.tsEnds[row] = startSec + fromNs(+cols[1].longValues![row]);
data.idles[row] = +cols[2].doubleValues![row];
data.freqKHz[row] = +cols[3].doubleValues![row];
}
this.publish(data);
this.busy = false;
}
private maximumValue() {
return Math.max(this.config.maximumValue || 0, this.maximumValueSeen);
}
private async query(query: string) {
const result = await this.engine.query(query);
if (result.error) {
console.error(`Query error "${query}": ${result.error}`);
throw new Error(`Query error "${query}": ${result.error}`);
}
return result;
}
}
trackControllerRegistry.register(CpuFreqTrackController);
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