Fuel Prices Exposed Leveraging MongoDB’s Aggregation Pipeline

Fuel Prices Exposed Leveraging MongoDB’s Aggregation Pipeline

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Markttransparenzstelle für Kraftstoffe

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A Look At Data

Federated Database Skip the import

Station Data What are we working with? { "_id": "0e18d0d3-ed38-4e7f-a18e-507a78ad901d", "brand": "OIL!", "city": "München", "first_active": "1970-01-01 01:00:00+01", "house_number": "", "latitude": "48.1807", "longitude": "11.4609", "name": "OIL! Tankstelle München", "openingtimes_json": "...", "post_code": "80999", "street": "Eversbuschstraße 33" }

Price Reports All prices { "_id": ..., "date": "2022-01-01 00:01:08+01", "station_uuid": "227a99f5-0be5-49f1-8f58-645ab5da32a8", "diesel": "1.609", "e5": "1.769", "e10": "0.000", "dieselchange": "1", "e5change": "1", "e10change": "0" }

Every engineer, ever “I guess I’ll write some code”

Aggregation Pipeline

MongoDB Queries db.stations_import.find({post_code: "80999"})

SQL Queries It can be so easy SELECT FROM JOIN WHERE GROUP BY HAVING ORDER BY OFFSET FETCH FIRST

SQL Queries Do we really SELECT FROM? JOIN WHERE GROUP BY HAVING ORDER BY OFFSET FETCH FIRST SELECT FROM

SQL Queries Who cares about order? JOIN WHERE GROUP BY HAVING ORDER BY OFFSET FETCH FIRST FROM SELECT

SQL Queries Tomayto, Tomahto FROM JOIN GROUP BY SELECT ORDER BY OFFSET FETCH FIRST WHERE HAVING

Aggregation Pipeline Write it like this db.collection.aggregate([ { $match: { ... }}, { $lookup: { ... }}, { $match: { ... }}, { $group: { ... }}, { $match: { ... }}, { $project: { ... }}, { $sort: { ... }}, { $skip: { ... }}, { $limit: { ... }}, ]);

db.collection.aggregate([ { $lookup: { ... }}, { $group: { ... }}, { $project: { ... }}, { $sort: { ... }}, { $skip: { ... }}, { $limit: { ... }}, ]); Aggregation Pipeline Duplicate stages { $match: { ... }}, { $match: { ... }}, { $match: { ... }},

Aggregation Pipeline Debug: run part of a pipeline db.collection.aggregate([ { $match: { ... }}, { $lookup: { ... }}, { $match: { ... }}, { $group: { ... }}, { $match: { ... }}, { $project: { ... }}, { $sort: { ... }}, { $skip: { ... }}, { $limit: { ... }}, ]);

Aggregation Pipeline Create views db.createView('viewName', 'collection', [ { $match: { ... }}, { $lookup: { ... }}, { $match: { ... }}, { $group: { ... }}, { $match: { ... }}, { $project: { ... }}, { $sort: { ... }}, { $skip: { ... }}, { $limit: { ... }}, ]);

Aggregation Pipeline On-demand materialised views { $out: { ... }}, db.collection.aggregate([ { $match: { ... }}, { $lookup: { ... }}, { $match: { ... }}, { $group: { ... }}, { $match: { ... }}, { $project: { ... }}, { $sort: { ... }}, { $skip: { ... }}, { $limit: { ... }}, ]);

Shaping Data

Aggregation Pipeline Station Data { $replaceWith: { _id: "$_id", name: "$name", brand: "$brand", location: { type: "Point", coordinates: [ { $toDouble: "$longitude" }, { $toDouble: "$latitude" }, ], }, address: { street: "$street", number: "$house_number", postCode: "$post_code", city: "$city", }, }}

What’s A Station? Cleaned up and organised { "_id": "0e18d0d3-ed38-4e7f-a18e-507a78ad901d", "name": "OIL! Tankstelle München", "brand": "OIL!", "location": { "type": "Point", "coordinates": [11.4609, 48.1807] }, "address": { "street": "Eversbuschstraße 33", "number": "", "postCode": "80999", "city": "München" } }

What’s A Station? Cleaned up and organised { "_id": "0e18d0d3-ed38-4e7f-a18e-507a78ad901d", "name": "OIL! Tankstelle München", "brand": "OIL!", "location": { "type": "Point", "coordinates": [11.4609, 48.1807] }, } "address": { "street": "Eversbuschstraße 33", "number": "", "postCode": "80999", "city": "München" }

{ "_id": "0e18d0d3-ed38-4e7f-a18e-507a78ad901d", "name": "OIL! Tankstelle München", "brand": "OIL!", "address": { "street": "Eversbuschstraße 33", "number": "", "postCode": "80999", "city": "München" } } What’s A Station? Cleaned up and organised "location": { "type": "Point", "coordinates": [11.4609, 48.1807] }, }

Aggregation Pipeline Price reports [ { $set: { date: { $dateFromString: { dateString: "$date" } }, station: { _id: "$station_uuid" }, changes: [ { fuel: "diesel", changed: { $toBool: { $toInt: "$dieselchange" } }, price: { $toDouble: "$diesel" }, }, { fuel: "e10", changed: { $toBool: { $toInt: "$e10change" } }, price: { $toDouble: "$e10" }, }, { fuel: "e5", changed: { $toBool: { $toInt: "$e5change" } }, price: { $toDouble: "$e5" }, }, ], }}, { $set: { day: { $dateTrunc: { date: "$date", unit: "day", timezone: "+01", }}, changes: { $filter: { input: "$changes", cond: { $eq: ["$$this.changed", true] }, }}, }}, { $unwind: "$changes" }, { $replaceWith: { _id: { $concat: ["$_id", "-", "$changes.fuel"] }, date: "$date", day: "$day", station: "$station", fuel: "$changes.fuel", price: "$changes.price", }}, ]

Price Change Make it easier to handle { "_id": "2022-01-01-prices-5-diesel", "date": { "$date": "2021-12-31T23:01:08.000Z" }, "day": { "$date": "2021-12-31T23:00:00.000Z" }, "station": { "_id": "227a99f5-0be5-49f1-8f58-645ab5da32a8" }, "fuel": "diesel", "price": 1.609 } { "_id": "2022-01-01-prices-5-e5", "date": { "$date": "2021-12-31T23:01:08.000Z" }, "day": { "$date": "2021-12-31T23:00:00.000Z" }, "station": { "_id": "227a99f5-0be5-49f1-8f58-645ab5da32a8" }, "fuel": "e5", "price": 1.769 }

Import ALL data

Import All Data Clone the repository git clone https://tankerkoenig@dev.azure.com/... Cloning into 'tankerkoenig-data'... remote: Azure Repos remote: Found 19574 objects to send. (376 ms) Receiving objects: 0% (64/19574), 83.04 MiB | 20.74 MiB/s

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Import All Data What have we got? $ du -hcs * 8.0K README.md 57G prices 7.1G stations 64G total $ wc -l prices/*/*/*.csv ... 731239757 total

Import All Data Reduce the dataset $ wc -l prices/2022/*/*.csv ... 123735340 total $ wc -l stations/2022/01/2022-01-01-stations.csv 16480 stations/2022/01/2022-01-01-stations.csv

Import All Data 2022 in numbers • ~124 million price records • 339000 per day • 16480 stations

~20 Daily Price Changes Per Station

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php import.php mongodb://localhost ../tankerkoenig-data/prices/2022/*/*.csv Processing file ../tankerkoenig-data/prices/2022/01/2022-01-01-prices.csv ... Done in 1173.451 s Inserted 123734975 documents in 349.873 s (353657.03 documents/s)

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Optimise Storage Bucket Pattern { "day": { "$date": "2021-12-31T23:00:00.000Z" }, "station": { "_id": "227a99f5-0be5-49f1-8f58-645ab5da32a8" }, "fuel": "diesel", "prices": [ { "_id": "2022-01-01-prices-5-diesel", "date": { "$date": "2021-12-31T23:01:08.000Z" }, "price": 1.609 }, { "_id": "2022-01-01-prices-224783-diesel", "date": { "$date": "2022-01-01T16:59:10.000Z" }, "price": 1.579 } ] }

weightedAverage: { $round: [ { $divide: [ { $reduce: { input: "$prices", initialValue: 0, in: { $add: [ "$$value", { $multiply: [ "$$this.seconds", "$$this.price" ] }, ]}, }}, { $dateDiff: { startDate: "$day", endDate: { $dateAdd: { startDate: "$day", unit: "day", amount: 1, }}, unit: "second", }}, ]}, 3, ]}, }}, ]

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Daily Bucket Metadata { "_id": { "$oid": "650063b7630a232653ab7817" }, "day": { "$date": "2022-01-01T23:00:00.000Z" }, "fuel": "diesel", "station": { "_id": "278130b1-e062-4a0f-80cc-19e486b4c024", "name": "Aral Tankstelle", "brand": "ARAL", "location": { "type": "Point", "coordinates": [13.4214869, 52.5141525] }, "address": { "postCode": "10179" } }, ... }

Daily Bucket Full price list { ... "prices": [ { "_id": "2022-01-02-prices-16852-diesel", "date": { "$date": "2022-01-02T06:02:11.000Z" }, "price": 1.639, "previousPrice": 1.569 }, { "_id": "2022-01-02-prices-49287-diesel", "date": { "$date": "2022-01-02T08:01:08.000Z" }, "price": 1.689, "previousPrice": 1.639 } ], ... }

Daily Bucket Daily price data { ... "openingPrice": 1.569, "closingPrice": 1.629, "weightedAverage": 1.591, "lowestPrice": { "_id": "2022-01-02-prices-127016-diesel", "date": { "$date": "2022-01-02T12:05:08.000Z" }, "price": 1.549 }, "highestPrice": { "_id": "2022-01-02-prices-76907-diesel", "date": { "$date": "2022-01-02T09:31:09.000Z" }, "price": 1.709 }, ... }

Daily Bucket Daily averages { ... "dailyAverage": { "lowestPrice": 1.399, "highestPrice": 1.939, "averagePrice": 1.575, "percentiles": { "p50": 1.572, "p90": 1.62, "p95": 1.636, "p99": 1.725 } } }

Numbers, At Last Di ff erent Format? Rank Brand Changes Diesel e5 e10 1 LD Tankestelle Westheim 101.91 34.04 33.94 33.94 2 Rapp - Freie Tankstelle 85.71 27.87 29.30 29.29 3 Freie Tankstelle Endrass 85.71 26.35 29.68 29.68 4 Sb 79.48 25.89 26.75 26.84 5 DBV 78.93 22.50 22.86 33.56

Let’s build some charts

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Thanks! @alcaeus github.com/alcaeus symfony-devs: @alcaeus