mirror of
https://github.com/superseriousbusiness/gotosocial.git
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07727753b9
* Add whereNotEmptyAndNotNull * Add GetRemoteOlderThanDays * Add GetRemoteOlderThanDays * Add PruneRemote to Manager interface * Start implementing PruneRemote * add new attachment + status to tests * fix up and test GetRemoteOlderThan * fix bad import * PruneRemote: return number pruned * add Cached column to mediaattachment * update + test pruneRemote * update mediaTest * use Cached column * upstep bun to latest version * embed structs in mediaAttachment * migrate mediaAttachment to new format * don't default cached to true * select only remote media * update db dependencies * step bun back to last working version * update pruneRemote to use Cached field * fix storage path of test attachments * add recache logic to manager * fix trimmed aspect ratio * test prune and recache * return errwithcode * tidy up different paths for emoji vs attachment * fix incorrect thumbnail type being stored * expose TransportController to media processor * implement tee-ing recached content * add thoughts of dog to test fedi attachments * test get remote files * add comment on PruneRemote * add postData cleanup to recache * test thumbnail fetching * add incredible diagram * go mod tidy * buffer pipes for recache streaming * test for client stops reading after 1kb * add media-remote-cache-days to config * add cron package * wrap logrus so it's available to cron * start and stop cron jobs gracefully
16 KiB
16 KiB
Simple and performant client for PostgreSQL, MySQL, and SQLite
Status: API freeze (stable release). Note that all sub-packages (mainly extra/* packages) are not part of the API freeze and are developed independently. You can think of them as of 3rd party packages that share one repo with the core.
Main features are:
- Works with PostgreSQL, MySQL (including MariaDB), SQLite.
- Selecting into scalars, structs, maps, slices of maps/structs/scalars.
- Bulk inserts.
- Bulk updates using common table expressions.
- Bulk deletes.
- Fixtures.
- Migrations.
- Soft deletes.
Resources:
- Get started
- Examples
- Discussions
- Newsletter to get latest updates.
- Reference
- Starter kit
Projects using Bun:
- gotosocial - Golang fediverse server.
- qvalet listens for HTTP requests and executes commands on demand.
- RealWorld app
Benchmark
https://github.com/davars/dbeval
results
BenchmarkInsert
BenchmarkInsert/*dbeval.Memory/Authors
BenchmarkInsert/*dbeval.Memory/Authors-4 84450 12104 ns/op 2623 B/op 70 allocs/op
BenchmarkInsert/*dbeval.Xorm/Authors
BenchmarkInsert/*dbeval.Xorm/Authors-4 7291 153505 ns/op 9024 B/op 311 allocs/op
BenchmarkInsert/*dbeval.UpperDB/Authors
BenchmarkInsert/*dbeval.UpperDB/Authors-4 4608 223672 ns/op 24160 B/op 1100 allocs/op
BenchmarkInsert/*dbeval.Bun/Authors
BenchmarkInsert/*dbeval.Bun/Authors-4 6034 186439 ns/op 6818 B/op 80 allocs/op
BenchmarkInsert/*dbeval.PQ/Authors
BenchmarkInsert/*dbeval.PQ/Authors-4 1141 907494 ns/op 6487 B/op 193 allocs/op
BenchmarkInsert/*dbeval.SQLX/Authors
BenchmarkInsert/*dbeval.SQLX/Authors-4 1165 916987 ns/op 10089 B/op 271 allocs/op
BenchmarkInsert/*dbeval.Ozzo/Authors
BenchmarkInsert/*dbeval.Ozzo/Authors-4 1105 1058082 ns/op 27826 B/op 588 allocs/op
BenchmarkInsert/*dbeval.PGXStdlib/Authors
BenchmarkInsert/*dbeval.PGXStdlib/Authors-4 1228 900207 ns/op 6032 B/op 180 allocs/op
BenchmarkInsert/*dbeval.Gorm/Authors
BenchmarkInsert/*dbeval.Gorm/Authors-4 946 1184285 ns/op 35634 B/op 918 allocs/op
BenchmarkInsert/*dbeval.PGX/Authors
BenchmarkInsert/*dbeval.PGX/Authors-4 1116 923728 ns/op 3839 B/op 130 allocs/op
BenchmarkInsert/*dbeval.DBR/Authors
BenchmarkInsert/*dbeval.DBR/Authors-4 5800 183982 ns/op 8646 B/op 230 allocs/op
BenchmarkInsert/*dbeval.GoPG/Authors
BenchmarkInsert/*dbeval.GoPG/Authors-4 6110 173923 ns/op 2906 B/op 87 allocs/op
BenchmarkInsert/*dbeval.DBR/Articles
BenchmarkInsert/*dbeval.DBR/Articles-4 1706 684466 ns/op 133346 B/op 1614 allocs/op
BenchmarkInsert/*dbeval.PQ/Articles
BenchmarkInsert/*dbeval.PQ/Articles-4 884 1249791 ns/op 100403 B/op 1491 allocs/op
BenchmarkInsert/*dbeval.PGX/Articles
BenchmarkInsert/*dbeval.PGX/Articles-4 916 1288143 ns/op 83539 B/op 1392 allocs/op
BenchmarkInsert/*dbeval.GoPG/Articles
BenchmarkInsert/*dbeval.GoPG/Articles-4 1726 622639 ns/op 78638 B/op 1359 allocs/op
BenchmarkInsert/*dbeval.SQLX/Articles
BenchmarkInsert/*dbeval.SQLX/Articles-4 860 1262599 ns/op 92030 B/op 1574 allocs/op
BenchmarkInsert/*dbeval.Gorm/Articles
BenchmarkInsert/*dbeval.Gorm/Articles-4 782 1421550 ns/op 136534 B/op 2411 allocs/op
BenchmarkInsert/*dbeval.PGXStdlib/Articles
BenchmarkInsert/*dbeval.PGXStdlib/Articles-4 938 1230576 ns/op 86743 B/op 1441 allocs/op
BenchmarkInsert/*dbeval.Bun/Articles
BenchmarkInsert/*dbeval.Bun/Articles-4 1843 626681 ns/op 101610 B/op 1323 allocs/op
BenchmarkInsert/*dbeval.Xorm/Articles
BenchmarkInsert/*dbeval.Xorm/Articles-4 1677 650244 ns/op 126677 B/op 1752 allocs/op
BenchmarkInsert/*dbeval.Memory/Articles
BenchmarkInsert/*dbeval.Memory/Articles-4 1988 1223308 ns/op 77576 B/op 1310 allocs/op
BenchmarkInsert/*dbeval.UpperDB/Articles
BenchmarkInsert/*dbeval.UpperDB/Articles-4 1696 687130 ns/op 139680 B/op 2862 allocs/op
BenchmarkInsert/*dbeval.Ozzo/Articles
BenchmarkInsert/*dbeval.Ozzo/Articles-4 697 1496859 ns/op 114780 B/op 1950 allocs/op
BenchmarkFindAuthorByID
BenchmarkFindAuthorByID/*dbeval.UpperDB
BenchmarkFindAuthorByID/*dbeval.UpperDB-4 10184 117527 ns/op 9953 B/op 441 allocs/op
BenchmarkFindAuthorByID/*dbeval.Bun
BenchmarkFindAuthorByID/*dbeval.Bun-4 20716 54261 ns/op 5096 B/op 15 allocs/op
BenchmarkFindAuthorByID/*dbeval.Ozzo
BenchmarkFindAuthorByID/*dbeval.Ozzo-4 11166 91043 ns/op 3088 B/op 64 allocs/op
BenchmarkFindAuthorByID/*dbeval.PQ
BenchmarkFindAuthorByID/*dbeval.PQ-4 13875 86171 ns/op 844 B/op 24 allocs/op
BenchmarkFindAuthorByID/*dbeval.PGX
BenchmarkFindAuthorByID/*dbeval.PGX-4 13846 79983 ns/op 719 B/op 15 allocs/op
BenchmarkFindAuthorByID/*dbeval.Memory
BenchmarkFindAuthorByID/*dbeval.Memory-4 14113720 82.33 ns/op 0 B/op 0 allocs/op
BenchmarkFindAuthorByID/*dbeval.Xorm
BenchmarkFindAuthorByID/*dbeval.Xorm-4 12027 98519 ns/op 3633 B/op 106 allocs/op
BenchmarkFindAuthorByID/*dbeval.Gorm
BenchmarkFindAuthorByID/*dbeval.Gorm-4 11521 102241 ns/op 6592 B/op 143 allocs/op
BenchmarkFindAuthorByID/*dbeval.PGXStdlib
BenchmarkFindAuthorByID/*dbeval.PGXStdlib-4 13933 82626 ns/op 1174 B/op 28 allocs/op
BenchmarkFindAuthorByID/*dbeval.DBR
BenchmarkFindAuthorByID/*dbeval.DBR-4 21920 51175 ns/op 1756 B/op 39 allocs/op
BenchmarkFindAuthorByID/*dbeval.SQLX
BenchmarkFindAuthorByID/*dbeval.SQLX-4 13603 80788 ns/op 1327 B/op 32 allocs/op
BenchmarkFindAuthorByID/*dbeval.GoPG
BenchmarkFindAuthorByID/*dbeval.GoPG-4 23174 50042 ns/op 869 B/op 17 allocs/op
BenchmarkFindAuthorByName
BenchmarkFindAuthorByName/*dbeval.SQLX
BenchmarkFindAuthorByName/*dbeval.SQLX-4 1070 1065272 ns/op 126348 B/op 4018 allocs/op
BenchmarkFindAuthorByName/*dbeval.Bun
BenchmarkFindAuthorByName/*dbeval.Bun-4 877 1231377 ns/op 115803 B/op 5005 allocs/op
BenchmarkFindAuthorByName/*dbeval.Xorm
BenchmarkFindAuthorByName/*dbeval.Xorm-4 471 2345445 ns/op 455711 B/op 19080 allocs/op
BenchmarkFindAuthorByName/*dbeval.DBR
BenchmarkFindAuthorByName/*dbeval.DBR-4 954 1089977 ns/op 120070 B/op 6023 allocs/op
BenchmarkFindAuthorByName/*dbeval.PQ
BenchmarkFindAuthorByName/*dbeval.PQ-4 1333 784400 ns/op 87159 B/op 4006 allocs/op
BenchmarkFindAuthorByName/*dbeval.GoPG
BenchmarkFindAuthorByName/*dbeval.GoPG-4 1580 770966 ns/op 87525 B/op 3028 allocs/op
BenchmarkFindAuthorByName/*dbeval.UpperDB
BenchmarkFindAuthorByName/*dbeval.UpperDB-4 789 1314164 ns/op 190689 B/op 6428 allocs/op
BenchmarkFindAuthorByName/*dbeval.Ozzo
BenchmarkFindAuthorByName/*dbeval.Ozzo-4 948 1255282 ns/op 238764 B/op 6053 allocs/op
BenchmarkFindAuthorByName/*dbeval.PGXStdlib
BenchmarkFindAuthorByName/*dbeval.PGXStdlib-4 1279 920391 ns/op 126163 B/op 4014 allocs/op
BenchmarkFindAuthorByName/*dbeval.PGX
BenchmarkFindAuthorByName/*dbeval.PGX-4 1364 780970 ns/op 101967 B/op 2028 allocs/op
BenchmarkFindAuthorByName/*dbeval.Gorm
BenchmarkFindAuthorByName/*dbeval.Gorm-4 340 3445818 ns/op 1573637 B/op 27102 allocs/op
BenchmarkFindAuthorByName/*dbeval.Memory
BenchmarkFindAuthorByName/*dbeval.Memory-4 38081223 31.24 ns/op 0 B/op 0 allocs/op
BenchmarkRecentArticles
BenchmarkRecentArticles/*dbeval.PGXStdlib
BenchmarkRecentArticles/*dbeval.PGXStdlib-4 358 3344119 ns/op 3425578 B/op 14177 allocs/op
BenchmarkRecentArticles/*dbeval.GoPG
BenchmarkRecentArticles/*dbeval.GoPG-4 364 3156372 ns/op 1794091 B/op 10032 allocs/op
BenchmarkRecentArticles/*dbeval.Xorm
BenchmarkRecentArticles/*dbeval.Xorm-4 157 7567835 ns/op 5018011 B/op 81425 allocs/op
BenchmarkRecentArticles/*dbeval.Gorm
BenchmarkRecentArticles/*dbeval.Gorm-4 139 7980084 ns/op 6776277 B/op 85418 allocs/op
BenchmarkRecentArticles/*dbeval.SQLX
BenchmarkRecentArticles/*dbeval.SQLX-4 338 3289802 ns/op 3425890 B/op 14181 allocs/op
BenchmarkRecentArticles/*dbeval.Ozzo
BenchmarkRecentArticles/*dbeval.Ozzo-4 320 3508322 ns/op 4025966 B/op 18207 allocs/op
BenchmarkRecentArticles/*dbeval.DBR
BenchmarkRecentArticles/*dbeval.DBR-4 237 5248644 ns/op 3331003 B/op 21370 allocs/op
BenchmarkRecentArticles/*dbeval.Bun
BenchmarkRecentArticles/*dbeval.Bun-4 280 4528582 ns/op 1864362 B/op 15965 allocs/op
BenchmarkRecentArticles/*dbeval.UpperDB
BenchmarkRecentArticles/*dbeval.UpperDB-4 297 3704663 ns/op 3607287 B/op 18542 allocs/op
BenchmarkRecentArticles/*dbeval.PQ
BenchmarkRecentArticles/*dbeval.PQ-4 308 3489229 ns/op 3277050 B/op 17359 allocs/op
BenchmarkRecentArticles/*dbeval.Memory
BenchmarkRecentArticles/*dbeval.Memory-4 29590380 42.27 ns/op 0 B/op 0 allocs/op
BenchmarkRecentArticles/*dbeval.PGX
BenchmarkRecentArticles/*dbeval.PGX-4 356 3345500 ns/op 3297316 B/op 6226 allocs/op
https://github.com/frederikhors/orm-benchmark
results
4000 times - Insert
raw_stmt: 0.38s 94280 ns/op 718 B/op 14 allocs/op
raw: 0.39s 96719 ns/op 718 B/op 13 allocs/op
beego_orm: 0.48s 118994 ns/op 2411 B/op 56 allocs/op
bun: 0.57s 142285 ns/op 918 B/op 12 allocs/op
pg: 0.58s 145496 ns/op 1235 B/op 12 allocs/op
gorm: 0.70s 175294 ns/op 6665 B/op 88 allocs/op
xorm: 0.76s 189533 ns/op 3032 B/op 94 allocs/op
4000 times - MultiInsert 100 row
raw: 4.59s 1147385 ns/op 135155 B/op 916 allocs/op
raw_stmt: 4.59s 1148137 ns/op 131076 B/op 916 allocs/op
beego_orm: 5.50s 1375637 ns/op 179962 B/op 2747 allocs/op
bun: 6.18s 1544648 ns/op 4265 B/op 214 allocs/op
pg: 7.01s 1753495 ns/op 5039 B/op 114 allocs/op
gorm: 9.52s 2379219 ns/op 293956 B/op 3729 allocs/op
xorm: 11.66s 2915478 ns/op 286140 B/op 7422 allocs/op
4000 times - Update
raw_stmt: 0.26s 65781 ns/op 773 B/op 14 allocs/op
raw: 0.31s 77209 ns/op 757 B/op 13 allocs/op
beego_orm: 0.43s 107064 ns/op 1802 B/op 47 allocs/op
bun: 0.56s 139839 ns/op 589 B/op 4 allocs/op
pg: 0.60s 149608 ns/op 896 B/op 11 allocs/op
gorm: 0.74s 185970 ns/op 6604 B/op 81 allocs/op
xorm: 0.81s 203240 ns/op 2994 B/op 119 allocs/op
4000 times - Read
raw: 0.33s 81671 ns/op 2081 B/op 49 allocs/op
raw_stmt: 0.34s 85847 ns/op 2112 B/op 50 allocs/op
beego_orm: 0.38s 94777 ns/op 2106 B/op 75 allocs/op
pg: 0.42s 106148 ns/op 1526 B/op 22 allocs/op
bun: 0.43s 106904 ns/op 1319 B/op 18 allocs/op
gorm: 0.65s 162221 ns/op 5240 B/op 108 allocs/op
xorm: 1.13s 281738 ns/op 8326 B/op 237 allocs/op
4000 times - MultiRead limit 100
raw: 1.52s 380351 ns/op 38356 B/op 1037 allocs/op
raw_stmt: 1.54s 385541 ns/op 38388 B/op 1038 allocs/op
pg: 1.86s 465468 ns/op 24045 B/op 631 allocs/op
bun: 2.58s 645354 ns/op 30009 B/op 1122 allocs/op
beego_orm: 2.93s 732028 ns/op 55280 B/op 3077 allocs/op
gorm: 4.97s 1241831 ns/op 71628 B/op 3877 allocs/op
xorm: doesn't work
Why another database client?
So you can elegantly write complex queries:
regionalSales := db.NewSelect().
ColumnExpr("region").
ColumnExpr("SUM(amount) AS total_sales").
TableExpr("orders").
GroupExpr("region")
topRegions := db.NewSelect().
ColumnExpr("region").
TableExpr("regional_sales").
Where("total_sales > (SELECT SUM(total_sales) / 10 FROM regional_sales)")
var items map[string]interface{}
err := db.NewSelect().
With("regional_sales", regionalSales).
With("top_regions", topRegions).
ColumnExpr("region").
ColumnExpr("product").
ColumnExpr("SUM(quantity) AS product_units").
ColumnExpr("SUM(amount) AS product_sales").
TableExpr("orders").
Where("region IN (SELECT region FROM top_regions)").
GroupExpr("region").
GroupExpr("product").
Scan(ctx, &items)
WITH regional_sales AS (
SELECT region, SUM(amount) AS total_sales
FROM orders
GROUP BY region
), top_regions AS (
SELECT region
FROM regional_sales
WHERE total_sales > (SELECT SUM(total_sales)/10 FROM regional_sales)
)
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
And scan results into scalars, structs, maps, slices of structs/maps/scalars.
Installation
go get github.com/uptrace/bun
You also need to install a database/sql driver and the corresponding Bun dialect.
See Getting started guide and check examples.
Contributors
Thanks to all the people who already contributed!