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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, toNs} from '../../common/time';
import {LIMIT} from '../../common/track_data';
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 setup = false;
private maximumValueSeen = 0;
async onBoundsChange(start: number, end: number, resolution: number):
Promise<Data> {
const startNs = toNs(start);
const endNs = toNs(end);
if (!this.setup) {
const result = await this.query(`
select max(value)
from counter
where track_id = ${this.config.freqTrackId}`);
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,
dur,
value as freq_value
from experimental_counter_dur c
where track_id = ${this.config.freqTrackId};
`);
// If there is no idle track, just make the idle track a single row
// which spans the entire time range.
if (this.config.idleTrackId === undefined) {
await this.query(`create view ${this.tableName('idle')} as
select
0 as ts,
${Number.MAX_SAFE_INTEGER} as dur,
-1 as idle_value;
`);
} else {
await this.query(`create view ${this.tableName('idle')}
as select
ts,
dur,
value as idle_value
from experimental_counter_dur c
where track_id = ${this.config.idleTrackId};
`);
}
await this.query(`create virtual table ${this.tableName('freq_idle')}
using span_join(${this.tableName('freq')},
${this.tableName('idle')});`);
await this.query(`create virtual table ${this.tableName('span_activity')}
using span_join(${this.tableName('freq_idle')},
${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,
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;
}
this.query(`update ${this.tableName('window')} set
window_start = ${startNs},
window_dur = ${Math.max(1, endNs - startNs)},
quantum = 0`);
const result = await this.engine.queryOneRow(`select count(*)
from ${this.tableName('activity')}`);
const isQuantized = result[0] > LIMIT;
// 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')} limit ${LIMIT}`;
if (isQuantized) {
// |resolution| is in s/px we want # ns for 10px window:
const bucketSizeNs = Math.round(resolution * 10 * 1e9);
const windowStartNs = Math.floor(startNs / 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}`);
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 limit ${LIMIT}`;
}
const freqResult = await this.query(query);
const numRows = +freqResult.numRecords;
const data: Data = {
start,
end,
resolution,
length: numRows,
maximumValue: this.maximumValue(),
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];
}
return data;
}
private maximumValue() {
return Math.max(this.config.maximumValue || 0, this.maximumValueSeen);
}
}
trackControllerRegistry.register(CpuFreqTrackController);
|
