feat(zero-to-zod): implement zeroToZod function to convert Zero table… #5220
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… schemas to Zod schemas with comprehensive tests
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Bencher Report| Branch | arv/zero-to-zod |
| Testbed | Linux |
Click to view all benchmark results
| Benchmark | File Size | Benchmark Result kilobytes (KB) (Result Δ%) | Upper Boundary kilobytes (KB) (Limit %) |
|---|---|---|---|
| zero-package.tgz | 📈 view plot 🚷 view threshold | 1,726.52 KB(0.00%)Baseline: 1,726.52 KB | 1,761.05 KB (98.04%) |
| zero.js | 📈 view plot 🚷 view threshold | 234.69 KB(0.00%)Baseline: 234.69 KB | 239.38 KB (98.04%) |
| zero.js.br | 📈 view plot 🚷 view threshold | 64.86 KB(0.00%)Baseline: 64.86 KB | 66.16 KB (98.04%) |
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| Branch | arv/zero-to-zod |
| Testbed | self-hosted |
Click to view all benchmark results
| Benchmark | Throughput | Benchmark Result operations / second (ops/s) x 1e3 (Result Δ%) | Lower Boundary operations / second (ops/s) x 1e3 (Limit %) |
|---|---|---|---|
| src/client/custom.bench.ts > big schema | 📈 view plot 🚷 view threshold | 911.44 ops/s x 1e3(+8.77%)Baseline: 837.99 ops/s x 1e3 | 633.64 ops/s x 1e3 (69.52%) |
| src/client/zero.bench.ts > basics > All 1000 rows x 10 columns (numbers) | 📈 view plot 🚷 view threshold | 3.02 ops/s x 1e3(+2.46%)Baseline: 2.95 ops/s x 1e3 | 2.80 ops/s x 1e3 (92.85%) |
| src/client/zero.bench.ts > pk compare > pk = N | 📈 view plot 🚷 view threshold | 48.61 ops/s x 1e3(+7.75%)Baseline: 45.11 ops/s x 1e3 | 39.84 ops/s x 1e3 (81.95%) |
| src/client/zero.bench.ts > with filter > Lower rows 500 x 10 columns (numbers) | 📈 view plot 🚷 view threshold | 3.94 ops/s x 1e3(-4.39%)Baseline: 4.12 ops/s x 1e3 | 3.67 ops/s x 1e3 (93.20%) |
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| Branch | arv/zero-to-zod |
| Testbed | self-hosted |
Click to view all benchmark results
| Benchmark | Throughput | Benchmark Result operations / second (ops/s) (Result Δ%) | Lower Boundary operations / second (ops/s) (Limit %) |
|---|---|---|---|
| zpg: (pk lookup) select * from track where id = 3163 | 📈 view plot 🚷 view threshold | 843.00 ops/s(-6.69%)Baseline: 903.49 ops/s | 746.94 ops/s (88.60%) |
| zpg: (secondary index lookup) select * from track where album_id = 248 | 📈 view plot 🚷 view threshold | 934.23 ops/s(+0.11%)Baseline: 933.18 ops/s | 812.75 ops/s (87.00%) |
| zpg: (table scan) select * from album | 📈 view plot 🚷 view threshold | 690.01 ops/s(-1.99%)Baseline: 703.99 ops/s | 614.03 ops/s (88.99%) |
| zpg: OR with empty branch and limit | 📈 view plot 🚷 view threshold | 849.18 ops/s(+2.81%)Baseline: 825.95 ops/s | 670.48 ops/s (78.96%) |
| zpg: OR with empty branch and limit with exists | 📈 view plot 🚷 view threshold | 637.36 ops/s(-5.82%)Baseline: 676.78 ops/s | 538.31 ops/s (84.46%) |
| zpg: all playlists | 📈 view plot 🚷 view threshold | 5.75 ops/s(+0.01%)Baseline: 5.75 ops/s | 5.58 ops/s (96.99%) |
| zpg: scan with one depth related | 📈 view plot 🚷 view threshold | 440.18 ops/s(+3.71%)Baseline: 424.42 ops/s | 390.93 ops/s (88.81%) |
| zql: (pk lookup) select * from track where id = 3163 | 📈 view plot 🚷 view threshold | 132,193.37 ops/s(+1.27%)Baseline: 130,534.69 ops/s | 105,791.93 ops/s (80.03%) |
| zql: (secondary index lookup) select * from track where album_id = 248 | 📈 view plot 🚷 view threshold | 2,305.40 ops/s(+5.04%)Baseline: 2,194.76 ops/s | 1,613.79 ops/s (70.00%) |
| zql: (table scan) select * from album | 📈 view plot 🚷 view threshold | 7,151.50 ops/s(+3.36%)Baseline: 6,919.04 ops/s | 6,250.89 ops/s (87.41%) |
| zql: OR with empty branch and limit | 📈 view plot 🚷 view threshold | 54,256.22 ops/s(-9.82%)Baseline: 60,165.89 ops/s | 48,652.74 ops/s (89.67%) |
| zql: OR with empty branch and limit with exists | 📈 view plot 🚷 view threshold | 12,004.97 ops/s(-3.31%)Baseline: 12,416.22 ops/s | 9,567.72 ops/s (79.70%) |
| zql: all playlists | 📈 view plot 🚷 view threshold | 4.52 ops/s(+0.22%)Baseline: 4.51 ops/s | 4.06 ops/s (89.77%) |
| zql: edit for limited query, inside the bound | 📈 view plot 🚷 view threshold | 247,690.39 ops/s(+3.83%)Baseline: 238,549.69 ops/s | 221,874.21 ops/s (89.58%) |
| zql: edit for limited query, outside the bound | 📈 view plot 🚷 view threshold | 263,040.96 ops/s(+5.90%)Baseline: 248,380.31 ops/s | 210,027.76 ops/s (79.85%) |
| zql: push into limited query, inside the bound | 📈 view plot 🚷 view threshold | 121,465.34 ops/s(+3.41%)Baseline: 117,455.76 ops/s | 110,272.78 ops/s (90.79%) |
| zql: push into limited query, outside the bound | 📈 view plot 🚷 view threshold | 489,635.69 ops/s(+6.66%)Baseline: 459,079.10 ops/s | 396,911.66 ops/s (81.06%) |
| zql: push into unlimited query | 📈 view plot 🚷 view threshold | 340,915.69 ops/s(-5.93%)Baseline: 362,424.11 ops/s | 325,844.89 ops/s (95.58%) |
| zql: scan with one depth related | 📈 view plot 🚷 view threshold | 483.86 ops/s(-3.80%)Baseline: 502.97 ops/s | 439.09 ops/s (90.75%) |
| zqlite: (pk lookup) select * from track where id = 3163 | 📈 view plot 🚷 view threshold | 55,874.54 ops/s(+19.37%)Baseline: 46,805.99 ops/s | 39,805.50 ops/s (71.24%) |
| zqlite: (secondary index lookup) select * from track where album_id = 248 | 📈 view plot 🚷 view threshold | 11,531.98 ops/s(+0.79%)Baseline: 11,442.04 ops/s | 10,537.36 ops/s (91.38%) |
| zqlite: (table scan) select * from album | 📈 view plot 🚷 view threshold | 1,343.74 ops/s(-2.93%)Baseline: 1,384.23 ops/s | 1,255.27 ops/s (93.42%) |
| zqlite: OR with empty branch and limit | 📈 view plot 🚷 view threshold | 20,324.25 ops/s(+5.82%)Baseline: 19,206.91 ops/s | 15,687.73 ops/s (77.19%) |
| zqlite: OR with empty branch and limit with exists | 📈 view plot 🚷 view threshold | 5,891.55 ops/s(+3.76%)Baseline: 5,678.02 ops/s | 4,613.51 ops/s (78.31%) |
| zqlite: all playlists | 📈 view plot 🚷 view threshold | 1.53 ops/s(+2.25%)Baseline: 1.49 ops/s | 1.37 ops/s (89.59%) |
| zqlite: edit for limited query, inside the bound | 📈 view plot 🚷 view threshold | 132,437.83 ops/s(+3.82%)Baseline: 127,560.19 ops/s | 118,878.20 ops/s (89.76%) |
| zqlite: edit for limited query, outside the bound | 📈 view plot 🚷 view threshold | 133,460.88 ops/s(+2.17%)Baseline: 130,627.14 ops/s | 120,217.39 ops/s (90.08%) |
| zqlite: push into limited query, inside the bound | 📈 view plot 🚷 view threshold | 4,212.20 ops/s(-1.33%)Baseline: 4,268.87 ops/s | 4,096.73 ops/s (97.26%) |
| zqlite: push into limited query, outside the bound | 📈 view plot 🚷 view threshold | 150,384.98 ops/s(-1.78%)Baseline: 153,113.26 ops/s | 137,900.29 ops/s (91.70%) |
| zqlite: push into unlimited query | 📈 view plot 🚷 view threshold | 133,049.89 ops/s(-0.31%)Baseline: 133,459.26 ops/s | 122,692.85 ops/s (92.22%) |
| zqlite: scan with one depth related | 📈 view plot 🚷 view threshold | 166.53 ops/s(+1.31%)Baseline: 164.38 ops/s | 129.18 ops/s (77.57%) |
Contributor
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I see that all the mutators typically take a subset of columns (often a small subset). I was thinking that you'd use But another concern is that you often want to maintain backward compat for these mutators since they are a network boundary. So automatically changing their types when the db schema changes is maybe not what you want. So maybe explicit is better here. |
Contributor
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Is that what you were thinking? I think a lot of people might still want the convenience. Maybe we should check it in or publish a separate library as a utility anyway. |
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… schemas to Zod schemas with comprehensive tests