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import { PostgresMetric } from '../src/metrics/postgres_metric';
import { MetricQuery } from '../src/metrics/metric';
import 'jest';
import * as _ from 'lodash';
describe('Test query creation', function() {
let limit = 1000;
let offset = 0;
let from = 1542983750857;
let to = 1542984313292;
let postgres = getDefaultMetric();
let mQuery: MetricQuery = postgres.getQuery(from, to, limit, offset);
it('test that payload placed to data field', function() {
expect('data' in mQuery.schema).toBeTruthy();
expect('queries' in mQuery.schema.data).toBeTruthy();
expect(mQuery.schema.data.queries).toBeInstanceOf(Array);
});
it('test from/to casting to string', function() {
expect(typeof mQuery.schema.data.from).toBe('string');
expect(typeof mQuery.schema.data.to).toBe('string');
});
it('method should be POST', function() {
expect(mQuery.method.toLocaleLowerCase()).toBe('post');
});
});
describe('Test result parsing', function() {
let postgres = getDefaultMetric();
let timestamps = [1542983800000, 1542983800060, 1542983800120]
let response = {
data: {
results: {
A: {
refId: 'A',
meta: {
rowCount:0,
sql: 'SELECT "time" AS "time", val FROM local ORDER BY 1'
},
series: [
{
name:"val",
points: [
[622, timestamps[0]],
[844, timestamps[1]],
[648, timestamps[2]]
]
}
],
tables: 'null'
}
}
}
}
let result = postgres.getResults(response);
it('check results columns order', function() {
let timestampColumnNumber = result.columns.indexOf('timestamp');
expect(result.values.map(v => v[timestampColumnNumber])).toEqual(timestamps);
});
});
describe('Test sql processing', function() {
let limit = 1000;
let offset = 77;
let from = 1542983750857;
let to = 1542984313292;
let check = function(original: string, expected: string) {
checkExpectation(original, expected, from, to, limit, offset);
}
it('simple sql with one select', function() {
let original = `SELECT
\"time\" AS \"time\",
val
FROM local
ORDER BY 1`;
let expected = `SELECT
\"time\" AS \"time\",
val
FROM local
ORDER BY 1 LIMIT ${limit} OFFSET ${offset}`;
check(original, expected);
});
it('sql with order by rows', function() {
let original = `SELECT
$__time(time),
AVG(power) OVER(ORDER BY speed ROWS BETWEEN 150 PRECEDING AND CURRENT ROW)
FROM
wind_pwr_spd
WHERE
$__timeFilter(time)`;
let expected = `SELECT
$__time(time),
AVG(power) OVER(ORDER BY speed ROWS BETWEEN 150 PRECEDING AND CURRENT ROW)
FROM
wind_pwr_spd
WHERE
$__timeFilter(time) LIMIT ${limit} OFFSET ${offset}`;
check(original,expected);
});
it('sql with offset limit', function() {
let original = `WITH RECURSIVE t(n) AS (
VALUES (1)
UNION ALL
SELECT n+1 FROM t WHERE n < 100
)
SELECT sum(n) FROM t OFFSET 0 LIMIT 0;`;
let expected = `WITH RECURSIVE t(n) AS (
VALUES (1)
UNION ALL
SELECT n+1 FROM t WHERE n < 100
)
SELECT sum(n) FROM t OFFSET ${offset} LIMIT ${limit};`;
check(original, expected);
});
it('sql with macroses', function() {
let original = `SELECT
time
FROM metric_values
WHERE time > $__timeFrom()
OR time < $__timeFrom()
OR 1 < $__unixEpochFrom()
OR $__unixEpochTo() > 1 ORDER BY 1`;
let expected = `SELECT
time
FROM metric_values
WHERE time > $__timeFrom()
OR time < $__timeFrom()
OR 1 < $__unixEpochFrom()
OR $__unixEpochTo() > 1 ORDER BY 1 LIMIT ${limit} OFFSET ${offset}`;
check(original, expected);
});
it('complex sql with one select', function() {
let original = `SELECT
statistics.created_at as time,
CAST(statistics.value AS decimal) as value,
sensor.title as metric
FROM statistics
INNER JOIN sensor
ON sensor.id = statistics.sensor_id
WHERE
statistics.device_id = '000-aaaa-bbbb'
AND sensor.type = 5
AND sensor.section_id IN($section_id)
AND statistics.value != 'ERR'
AND statistics.value !='???'
AND $__timeFilter(statistics.created_at)`;
let expected = `SELECT
statistics.created_at as time,
CAST(statistics.value AS decimal) as value,
sensor.title as metric
FROM statistics
INNER JOIN sensor
ON sensor.id = statistics.sensor_id
WHERE
statistics.device_id = '000-aaaa-bbbb'
AND sensor.type = 5
AND sensor.section_id IN($section_id)
AND statistics.value != 'ERR'
AND statistics.value !='???'
AND $__timeFilter(statistics.created_at) LIMIT ${limit} OFFSET ${offset}`;
check(original, expected);
})
it('sql with number of nested select', function() {
let original = `WITH regional_sales AS (
SELECT region, SUM(amount) AS total_sales
FROM orders
GROUP BY region LIMIT 5 OFFSET 1
), top_regions AS (
SELECT region
FROM regional_sales
WHERE total_sales > (SELECT SUM(total_sales)/10 FROM regional_sales)
LIMIT 3
)
SELECT region,
product,
SUM(quantity) AS product_units,
SUM(amount) AS product_sales
FROM orders
WHERE region IN (SELECT region FROM top_regions)
GROUP BY region, product OFFSET 500;`;
let expected = `WITH regional_sales AS (
SELECT region, SUM(amount) AS total_sales
FROM orders
GROUP BY region LIMIT 5 OFFSET 1
), top_regions AS (
SELECT region
FROM regional_sales
WHERE total_sales > (SELECT SUM(total_sales)/10 FROM regional_sales)
LIMIT 3
)
SELECT region,
product,
SUM(quantity) AS product_units,
SUM(amount) AS product_sales
FROM orders
WHERE region IN (SELECT region FROM top_regions)
GROUP BY region, product OFFSET ${offset} LIMIT ${limit};`;
check(original, expected);
});
});
function checkExpectation(original: string, expected: string, from: number, to: number, limit: number, offset: number) {
let metric = getMetricWithSql(original);
expect(metric.getQuery(from, to, limit, offset).schema.data.queries[0].rawSql).toBe(expected);
}
function getMetricWithSql(sql: string): PostgresMetric {
let metric = getDefaultMetric();
metric.datasource.data.queries[0].rawSql = sql;
return metric;
}
function getDefaultMetric(): PostgresMetric {
let queryPayload = {
from: 1542983750857,
to: 1542984313292,
queries:[{
refId: 'A',
intervalMs:2000,
maxDataPoints:191,
datasourceId:1,
rawSql: 'SELECT\n \"time\" AS \"time\",\n val\nFROM local\nORDER BY 1',
format: 'time_series'
}]
};
let datasource = {
url: 'api/tsdb/query',
type: 'postgres',
data: queryPayload
};
let targets = [{
refId: 'A',
}];
return new PostgresMetric(datasource, targets);
}