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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you 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 * as Arrow from '../src/Arrow.dom';
// from https://stackoverflow.com/a/19303725/214950
let seed = 1;
function random() {
const x = Math.sin(seed++) * 10000;
return x - Math.floor(x);
}
console.time('Prepare Data');
const LENGTH = 100000;
const NUM_BATCHES = 10;
const values = Arrow.Utf8Vector.from(['Charlottesville', 'New York', 'San Francisco', 'Seattle', 'Terre Haute', 'Washington, DC']);
const batches = Array.from({length: NUM_BATCHES}).map(() => {
const lat = Float32Array.from(
{ length: LENGTH },
() => ((random() - 0.5) * 2 * 90));
const lng = Float32Array.from(
{ length: LENGTH },
() => ((random() - 0.5) * 2 * 90));
const origin = Uint8Array.from(
{ length: LENGTH },
() => (random() * 6));
const destination = Uint8Array.from(
{ length: LENGTH },
() => (random() * 6));
const originType = new Arrow.Dictionary(values.type, new Arrow.Int8, 0, false);
const destinationType = new Arrow.Dictionary(values.type, new Arrow.Int8, 0, false);
return Arrow.RecordBatch.new({
'lat': Arrow.Float32Vector.from(lat),
'lng': Arrow.Float32Vector.from(lng),
'origin': Arrow.Vector.new(Arrow.Data.Dictionary(originType, 0, origin.length, 0, null, origin, values)),
'destination': Arrow.Vector.new(Arrow.Data.Dictionary(destinationType, 0, destination.length, 0, null, destination, values)),
});
});
const tracks = new Arrow.DataFrame(batches[0].schema, batches);
console.timeEnd('Prepare Data');
export default [
{
name: 'tracks',
df: tracks,
ipc: tracks.serialize(),
countBys: ['origin', 'destination'],
counts: [
{column: 'lat', test: 'gt' as 'gt' | 'eq', value: 0 },
{column: 'lng', test: 'gt' as 'gt' | 'eq', value: 0 },
{column: 'origin', test: 'eq' as 'gt' | 'eq', value: 'Seattle'},
],
}
];
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