android-13.0.0_r83/s

/*
 * Copyright (C) 2022 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 {GenericSet} from '../base/generic_set';
import {Area, PivotTableReduxQuery} from '../common/state';
import {toNs} from '../common/time';
import {
  getSelectedTrackIds
} from '../controller/aggregation/slice_aggregation_controller';

export interface Table {
  name: string;
  columns: string[];
}

export const sliceTable = {
  name: 'slice',
  columns: ['type', 'ts', 'dur', 'category', 'name']
};

// Columns of `slice` table available for aggregation.
export const sliceAggregationColumns = ['ts', 'dur', 'depth'];

// Columns of `thread_slice` table available for aggregation.
export const threadSliceAggregationColumns = [
  'thread_ts',
  'thread_dur',
  'thread_instruction_count',
  'thread_instruction_delta'
];

// List of available tables to query, used to populate selectors of pivot
// columns in the UI.
export const tables: Table[] = [
  sliceTable,
  {
    name: 'process',
    columns: [
      'type',
      'pid',
      'name',
      'parent_upid',
      'uid',
      'android_appid',
      'cmdline'
    ]
  },
  {name: 'thread', columns: ['type', 'name', 'tid', 'upid', 'is_main_thread']},
  {name: 'thread_track', columns: ['type', 'name', 'utid']},
];

// Pair of table name and column name.
export type TableColumn = [string, string];

export function createColumnSet(): GenericSet<TableColumn> {
  return new GenericSet((column: TableColumn) => `${column[0]}.${column[1]}`);
}

// Exception thrown by query generator in case incoming parameters are not
// suitable in order to build a correct query; these are caught by the UI and
// displayed to the user.
export class QueryGeneratorError extends Error {}

// Internal column name for different rollover levels of aggregate columns.
function aggregationAlias(
    aggregationIndex: number, rolloverLevel: number): string {
  return `agg_${aggregationIndex}_level_${rolloverLevel}`;
}

export function areaFilter(area: Area): string {
  return `
    ts > ${toNs(area.startSec)}
    and ts < ${toNs(area.endSec)}
    and track_id in (${getSelectedTrackIds(area).join(', ')})
  `;
}

function generateInnerQuery(
    pivots: string[],
    aggregations: string[],
    table: string,
    includeTrack: boolean,
    area: Area,
    constrainToArea: boolean): string {
  const pivotColumns = pivots.concat(includeTrack ? ['track_id'] : []);
  const aggregationColumns: string[] = [];

  for (let i = 0; i < aggregations.length; i++) {
    const agg = aggregations[i];
    aggregationColumns.push(`SUM(${agg}) as ${aggregationAlias(i, 0)}`);
  }

  // The condition is inverted because flipped order of literals makes JS
  // formatter insert huge amounts of whitespace for no good reason.
  return `
    select
      ${pivotColumns.concat(aggregationColumns).join(',\n')}
    from ${table}
    ${(constrainToArea ? `where ${areaFilter(area)}` : '')}
    group by ${pivotColumns.join(', ')}
  `;
}

function computeSliceTableAggregations(
    selectedAggregations: GenericSet<TableColumn>):
    {tableName: string, flatAggregations: string[]} {
  let hasThreadSliceColumn = false;
  const allColumns = [];
  for (const [table, column] of selectedAggregations.values()) {
    if (table === 'thread_slice') {
      hasThreadSliceColumn = true;
    }
    allColumns.push(column);
  }

  return {
    // If any aggregation column from `thread_slice` is present, it's going to
    // be the base table for the pivot table query. Otherwise, `slice` is used.
    // This later is going to be controllable by a UI element.
    tableName: hasThreadSliceColumn ? 'thread_slice' : 'slice',
    flatAggregations: allColumns
  };
}

// Every aggregation in the request is contained in the result in (number of
// pivots + 1) times for each rollover level. This helper function returs an
// index of the necessary column in the response.
export function aggregationIndex(
    pivotColumns: number, aggregationNo: number, depth: number) {
  return pivotColumns + aggregationNo * (pivotColumns + 1) +
      (pivotColumns - depth);
}

export function generateQuery(
    selectedPivots: GenericSet<TableColumn>,
    selectedAggregations: GenericSet<TableColumn>,
    area: Area,
    constrainToArea: boolean): PivotTableReduxQuery {
  const sliceTableAggregations =
      computeSliceTableAggregations(selectedAggregations);
  const slicePivots: string[] = [];
  const nonSlicePivots: string[] = [];

  if (sliceTableAggregations.flatAggregations.length === 0) {
    throw new QueryGeneratorError('No aggregations selected');
  }

  for (const [table, pivot] of selectedPivots.values()) {
    if (table === 'slice' || table === 'thread_slice') {
      slicePivots.push(pivot);
    } else {
      nonSlicePivots.push(`${table}.${pivot}`);
    }
  }

  if (slicePivots.length === 0 && nonSlicePivots.length === 0) {
    throw new QueryGeneratorError('No pivots selected');
  }

  const outerAggregations = [];
  const prefixedSlicePivots = slicePivots.map(p => `preaggregated.${p}`);
  const totalPivotsArray = nonSlicePivots.concat(prefixedSlicePivots);
  for (let i = 0; i < sliceTableAggregations.flatAggregations.length; i++) {
    const agg = `preaggregated.${aggregationAlias(i, 0)}`;
    outerAggregations.push(`SUM(${agg}) as ${aggregationAlias(i, 0)}`);

    for (let level = 1; level < totalPivotsArray.length; level++) {
      // Peculiar form "SUM(SUM(agg)) over (partition by columns)" here means
      // following: inner SUM(agg) is an aggregation that is going to collapse
      // tracks with the same pivot values, which is going to be post-aggregated
      // by the set of columns by outer **window** SUM function.

      // Need to use complicated query syntax can be avoided by having yet
      // another nested subquery computing only aggregation values with window
      // functions in the wrapper, but the generation code is going to be more
      // complex; so complexity of the query is traded for complexity of the
      // query generator.
      outerAggregations.push(`SUM(SUM(${agg})) over (partition by ${
          totalPivotsArray.slice(0, totalPivotsArray.length - level)
              .join(', ')}) as ${aggregationAlias(i, level)}`);
    }

    outerAggregations.push(`SUM(SUM(${agg})) over () as ${
        aggregationAlias(i, totalPivotsArray.length)}`);
  }

  const joins = `
    join thread_track on thread_track.id = preaggregated.track_id
    join thread using (utid)
    join process using (upid)
  `;

  const text = `
    select
      ${
      nonSlicePivots.concat(prefixedSlicePivots, outerAggregations).join(',\n')}
    from (
      ${
      generateInnerQuery(
          slicePivots,
          sliceTableAggregations.flatAggregations,
          sliceTableAggregations.tableName,
          nonSlicePivots.length > 0,
          area,
          constrainToArea)}
    ) preaggregated
    ${nonSlicePivots.length > 0 ? joins : ''}
    group by ${nonSlicePivots.concat(prefixedSlicePivots).join(', ')}
  `;

  return {
    text,
    metadata: {
      tableName: sliceTableAggregations.tableName,
      pivotColumns: nonSlicePivots.concat(slicePivots.map(
          column => `${sliceTableAggregations.tableName}.${column}`)),
      aggregationColumns: sliceTableAggregations.flatAggregations.map(
          agg => `SUM(${sliceTableAggregations.tableName}.${agg})`)
    }
  };
}