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John Page johnlpage

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  • MongoDB Inc.
  • Glasgow
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@johnlpage
johnlpage / withtxn.csv
Last active April 11, 2024 08:20
Description Mean (ms) p95 (ms) Transactions/s
Writing to 3 collections with transactions 8 9 3625
Writing to 3 collections without transactions 17 17 1905
@johnlpage
johnlpage / tableversion3.csv
Last active April 11, 2024 08:21
Schema Mean (ms) p95(ms) Transactions/s
Reading from Transaction (including BalanceHistory) 27 50 4582
Reading from Balance with 10 cached Balance Histories 6 7 20631
@johnlpage
johnlpage / tableversions.csv
Last active April 11, 2024 08:20
Schema Mean(ms) p95(ms) Transactions/s
Original - 3 writes 11 12 4161
Two write version 10 12 5822
@johnlpage
johnlpage / BankTransaction.csv
Last active April 11, 2024 08:19
Server vCPU RAM IOPS Transactions/s Mean (ms) p95(ms) Notes
M30 2 8 3000 1265 25 28 Higher latency got a little more throughput, more client threads
M50 8 32 3000 3794 12 14 60% CPU, notable checkpointing, notable read cache, disk latency >10ms
M50+4TB Disk 8 32 8000 4161 11 12 CPU 83%, no checkpoints
M60 +4TB Disk 16 64 8000 6721 9 10 Not quite linear performance improvement
M80+4TB Disk 32 128 8000 6995 9 10 Unsure what limit was at this point, probably disk; shows M60 + sharding better option
@johnlpage
johnlpage / MongoDB.java
Created March 28, 2023 07:51
public String getMOTResultInJSON(String identifier) {
long identifierLong;
try {
identifierLong = Long.valueOf(identifier);
Bson byIdQuery = Filters.eq("vehicleid", identifierLong);
testObj = testresults.find(byIdQuery).limit(1).first();
if (testObj != null) {
return testObj.toJson();
}
} catch (Exception e) {
@johnlpage
johnlpage / JDBC.java
Created March 28, 2023 07:50
//Query From https://data.dft.gov.uk/anonymised-mot-test/MOT_user_guide_v4.docx
private final String getlatestByVehicleSQL = "select " +
"tr.*, " +
"ft.FUEL_TYPE, " +
"tt.TESTTYPE AS TYPENAME, " +
"to2.RESULT, " +
"ti.*, " +
"fl.*, " + "tid.MINORITEM,tid.RFRDESC,tid.RFRLOCMARKER,tid.RFRINSPMANDESC,tid.RFRADVISORYTEXT,tid.TSTITMSETSECID, " +
"b.ITEMNAME AS LEVEL1, " +
"c.ITEMNAME AS LEVEL2, " +
@johnlpage
johnlpage / simpledoc.js
Created June 13, 2022 15:59
{
CustomerId: 123,
Name : { First: "John", Last: "Page"},
TotalSpend: 261,
Purchases: [
{ PurchaseID: 519, Item: 25, Quantity: 2, Price: 50 },
{ PurchaseID: 530, Item: 25, Quantity: 1, Price: 180 },
{ PurchaseId: 640, Item: 9, Quantity: 1, Price: 31 }
]
}
@johnlpage
johnlpage / lightsoffindaylight.js
Created March 17, 2022 09:36
exports = async function() {
let APIKEY = context.values.get('ifftkey_value')
const collection = context.services.get("mongodb-atlas").db("energy").collection("meter");
const docs = await collection.find({ type: "electric" }).sort({_id:-1}).limit(1).toArray();
if(docs.length == 1)
{
if(docs[0].solarwatts > 800) {
console.log("turning off lights")
const response = context.http.get({ url: `https://maker.ifttt.com/trigger/AllLightsOff/with/key/${APIKEY}` })
}
@johnlpage
johnlpage / sumelecuse.js
Created March 17, 2022 09:34
[
{ $match: { type: "electric" } },
{ $unwind: "$devices" },
{ $match: { "devices.watts": { $gt: 0 } } },
{ $setWindowFields: { sortBy: { date: 1 }, partitionBy: "$devices.name",
output: { totalUsage: { $integral: { input: "$devices.watts", unit: "hour" } } } }},
]
@johnlpage
johnlpage / contelecusage.js
Created March 17, 2022 09:33
[
{ $match: { type: "electric" } },
{
$setWindowFields:
{
sortBy: { date: 1 },
output: {
smoothsumusage: {
$expMovingAvg: { input: { $sum: "$devices.watts"} , alpha: 0.9}
}