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prrao87 merged 2 commits into from
Feb 10, 2026
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Bump 0.5.2 lance graph #11

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ce13994
Bump lance-graph version
prrao87 Feb 10, 2026
4f5646f
Update benchmark results with Q30 (it now runs!)
prrao87 Feb 10, 2026
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64 changes: 31 additions & 33 deletions README.md
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Expand Up @@ -93,40 +93,38 @@ each of the 30 queries run in the benchmark.

## High-level results

| Query | neo4j-2025.12.1 (ms) | kuzu-0.11.3 (ms) | ladybug-0.14.1 (ms) | lance-graph-0.5.1 (ms) |
| Query | neo4j-2025.12.1 (ms) | kuzu-0.11.3 (ms) | ladybug-0.14.1 (ms) | lance-graph-0.5.2 (ms) |
| --- | --- | --- | --- | --- |
| q1 | 5.7ms | 2.4ms (2.4x) | 2.1ms (2.7x) | 1.5ms (3.9x) |
| q2 | 6.4ms | 1.5ms (4.4x) | 1.5ms (4.2x) | 2.3ms (2.8x) |
| q3 | 2.8ms | 1.4ms (2.1x) | 1.2ms (2.2x) | 3.4ms (0.8x) |
| q4 | 4.8ms | 1.1ms (4.6x) | 1.1ms (4.3x) | 3.1ms (1.5x) |
| q5 | 5.1ms | 3.9ms (1.3x) | 3.6ms (1.4x) | 2.1ms (2.4x) |
| q6 | 4.1ms | 0.8ms (5.1x) | 0.9ms (4.6x) | 0.8ms (5.0x) |
| q7 | 2.2ms | 31.0ms (0.1x) | 31.1ms (0.1x) | 13.2ms (0.2x) |
| q8 | 15.6ms | 2.8ms (5.6x) | 2.8ms (5.5x) | 1.3ms (12.4x) |
| q9 | 2.6ms | 2.0ms (1.3x) | 2.2ms (1.2x) | 2.2ms (1.2x) |
| q10 | 4.9ms | 1.8ms (2.7x) | 1.9ms (2.6x) | 25.2ms (0.2x) |
| q11 | 12.9ms | 8.1ms (1.6x) | 8.4ms (1.5x) | 3.2ms (4.0x) |
| q12 | 4.7ms | 18.4ms (0.3x) | 17.9ms (0.3x) | 17.7ms (0.3x) |
| q13 | 8.8ms | 50.2ms (0.2x) | 51.6ms (0.2x) | 8.7ms (1.0x) |
| q14 | 1.6ms | 1.7ms (1.0x) | 1.8ms (0.9x) | 2.8ms (0.6x) |
| q15 | 3.2ms | 2.7ms (1.2x) | 2.7ms (1.2x) | 2.3ms (1.4x) |
| q16 | 2.0ms | 2.0ms (1.0x) | 2.0ms (1.0x) | 4.2ms (0.5x) |
| q17 | 5.3ms | 3.0ms (1.8x) | 2.9ms (1.8x) | 2.6ms (2.0x) |
| q18 | 4.1ms | 1.7ms (2.3x) | 1.8ms (2.3x) | 2.0ms (2.0x) |
| q19 | 6.1ms | 13.3ms (0.5x) | 13.6ms (0.5x) | 18.9ms (0.3x) |
| q20 | 421.8ms | 12.0ms (35.2x) | 11.1ms (38.1x) | 2.4ms (175.8x) |
| q21 | 1.6ms | 0.6ms (2.7x) | 0.6ms (2.7x) | 1.7ms (0.9x) |
| q22 | 3.7ms | 19.8ms (0.2x) | 21.2ms (0.2x) | 12.5ms (0.3x) |
| q23 | 4.0ms | 1.4ms (2.9x) | 1.4ms (2.8x) | 2.7ms (1.5x) |
| q24 | 1.5ms | 1.5ms (1.0x) | 1.6ms (1.0x) | 2.0ms (0.8x) |
| q25 | 3.1ms | 1.6ms (1.9x) | 1.7ms (1.8x) | 1.5ms (2.1x) |
| q26 | 1.8ms | 3.6ms (0.5x) | 3.8ms (0.5x) | 3.1ms (0.6x) |
| q27 | 3.4ms | 13.4ms (0.3x) | 16.0ms (0.2x) | 23.0ms (0.1x) |
| q28 | 4.3ms | 1.6ms (2.6x) | 1.9ms (2.3x) | 2.9ms (1.5x) |
| q29 | 3.1ms | 1.3ms (2.4x) | 1.3ms (2.4x) | 2.7ms (1.2x) |

> [!NOTE]
> Q30 (self-referencing pattern) is the most expensive query in this benchmark and is currently not supported in lance-graph. The lance-graph query processor is undergoing significant optimization -- follow this repo and check back in soon!
| q1 | 4.9ms | 2.3ms (2.2x) | 2.1ms (2.3x) | 1.6ms (3.1x) |
| q2 | 5.9ms | 1.4ms (4.1x) | 1.5ms (3.9x) | 2.4ms (2.5x) |
| q3 | 2.9ms | 1.2ms (2.4x) | 1.3ms (2.3x) | 3.4ms (0.9x) |
| q4 | 4.1ms | 1.0ms (4.0x) | 1.0ms (4.0x) | 3.1ms (1.3x) |
| q5 | 4.9ms | 3.8ms (1.3x) | 3.7ms (1.3x) | 2.1ms (2.3x) |
| q6 | 3.9ms | 0.8ms (5.0x) | 0.8ms (4.6x) | 0.8ms (4.6x) |
| q7 | 2.2ms | 31.1ms (0.1x) | 31.6ms (0.1x) | 13.3ms (0.2x) |
| q8 | 14.6ms | 2.9ms (5.1x) | 2.9ms (5.1x) | 1.3ms (11.3x) |
| q9 | 2.8ms | 2.1ms (1.4x) | 2.2ms (1.3x) | 2.2ms (1.3x) |
| q10 | 4.9ms | 1.8ms (2.7x) | 1.9ms (2.6x) | 25.3ms (0.2x) |
| q11 | 14.9ms | 8.5ms (1.8x) | 8.1ms (1.8x) | 3.3ms (4.5x) |
| q12 | 8.1ms | 20.7ms (0.4x) | 16.9ms (0.5x) | 18.0ms (0.4x) |
| q13 | 9.9ms | 50.8ms (0.2x) | 51.5ms (0.2x) | 8.9ms (1.1x) |
| q14 | 1.7ms | 1.7ms (1.0x) | 1.8ms (0.9x) | 2.9ms (0.6x) |
| q15 | 3.3ms | 2.7ms (1.2x) | 2.7ms (1.2x) | 2.3ms (1.4x) |
| q16 | 2.4ms | 2.0ms (1.2x) | 2.0ms (1.2x) | 4.4ms (0.5x) |
| q17 | 4.9ms | 3.0ms (1.6x) | 3.0ms (1.7x) | 2.7ms (1.8x) |
| q18 | 3.7ms | 1.8ms (2.0x) | 1.8ms (2.0x) | 2.2ms (1.7x) |
| q19 | 7.8ms | 12.4ms (0.6x) | 14.1ms (0.6x) | 19.3ms (0.4x) |
| q20 | 475.7ms | 11.9ms (39.9x) | 10.9ms (43.6x) | 2.6ms (183.6x) |
| q21 | 1.8ms | 0.6ms (3.2x) | 0.6ms (3.1x) | 1.7ms (1.0x) |
| q22 | 3.6ms | 24.2ms (0.2x) | 22.3ms (0.2x) | 13.7ms (0.3x) |
| q23 | 3.9ms | 1.4ms (2.8x) | 1.6ms (2.5x) | 2.7ms (1.4x) |
| q24 | 1.6ms | 1.5ms (1.1x) | 1.5ms (1.1x) | 2.0ms (0.8x) |
| q25 | 3.1ms | 1.8ms (1.7x) | 1.7ms (1.8x) | 1.5ms (2.1x) |
| q26 | 1.8ms | 3.7ms (0.5x) | 3.6ms (0.5x) | 3.1ms (0.6x) |
| q27 | 3.5ms | 15.2ms (0.2x) | 15.4ms (0.2x) | 23.0ms (0.2x) |
| q28 | 3.9ms | 1.7ms (2.3x) | 1.8ms (2.2x) | 2.8ms (1.4x) |
| q29 | 2.9ms | 1.3ms (2.3x) | 1.2ms (2.4x) | 2.7ms (1.1x) |
| q30 | 1255.2ms | 158.7ms (7.9x) | 154.4ms (8.1x) | 31.3ms (40.1x) |

The fastest and slowest systems for each query can be visualized via the following heatmap.

Expand Down
81 changes: 41 additions & 40 deletions kuzu/README.md
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Expand Up @@ -52,54 +52,55 @@ The benchmark can be run using the following command. The results are output to

```bash
❯ uv run pytest benchmark_query.py --benchmark-min-rounds=5 --benchmark-warmup-iterations=5 --benchmark-disable-gc --benchmark-sort=fullname
==================================== test session starts ====================================
============================================== test session starts ===============================================
platform darwin -- Python 3.13.7, pytest-9.0.2, pluggy-1.6.0
benchmark: 5.2.3 (defaults: timer=time.perf_counter disable_gc=True min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=5)
rootdir: /Users/prrao/code/graph-benchmark-ldbc-snb
configfile: pyproject.toml
plugins: anyio-4.12.1, benchmark-5.2.3, asyncio-1.3.0, Faker-40.1.2
asyncio: mode=Mode.STRICT, debug=False, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
collected 29 items

benchmark_query.py ............................. [100%]


------------------------------------------------------------------------------------ benchmark: 29 tests ------------------------------------------------------------------------------------
Name (time in ms) Min Max Mean StdDev Median IQR Outliers OPS Rounds Iterations
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_benchmark_query1 2.2577 (4.66) 2.6252 (3.30) 2.3674 (4.00) 0.1256 (2.17) 2.3013 (3.96) 0.1035 (1.40) 1;1 422.4013 (0.25) 7 1
test_benchmark_query10 1.5427 (3.19) 2.1656 (2.73) 1.7854 (3.02) 0.1151 (1.99) 1.7797 (3.07) 0.1413 (1.91) 68;2 560.0853 (0.33) 219 1
test_benchmark_query11 7.6476 (15.80) 8.9412 (11.25) 8.0510 (13.61) 0.2907 (5.01) 8.0069 (13.79) 0.3396 (4.59) 20;5 124.2076 (0.07) 76 1
test_benchmark_query12 14.4927 (29.94) 27.4369 (34.53) 18.3637 (31.05) 3.8226 (65.95) 16.2928 (28.07) 5.7663 (78.01) 4;0 54.4552 (0.03) 15 1
test_benchmark_query13 48.4199 (100.02) 51.4664 (64.77) 50.2393 (84.96) 0.8729 (15.06) 50.3359 (86.72) 1.4880 (20.13) 7;0 19.9047 (0.01) 18 1
test_benchmark_query14 1.4160 (2.92) 1.9150 (2.41) 1.6599 (2.81) 0.1091 (1.88) 1.6518 (2.85) 0.1297 (1.75) 51;1 602.4426 (0.36) 155 1
test_benchmark_query15 2.4607 (5.08) 3.2792 (4.13) 2.6984 (4.56) 0.1264 (2.18) 2.6811 (4.62) 0.1637 (2.21) 86;5 370.5902 (0.22) 278 1
test_benchmark_query16 1.7999 (3.72) 2.1456 (2.70) 1.9558 (3.31) 0.0769 (1.33) 1.9431 (3.35) 0.1080 (1.46) 36;0 511.3071 (0.30) 102 1
test_benchmark_query17 2.7153 (5.61) 3.4063 (4.29) 2.9574 (5.00) 0.1463 (2.52) 2.9277 (5.04) 0.1782 (2.41) 46;9 338.1399 (0.20) 184 1
test_benchmark_query18 1.4720 (3.04) 7.3080 (9.20) 1.7397 (2.94) 0.3661 (6.32) 1.6984 (2.93) 0.1279 (1.73) 5;10 574.8125 (0.34) 383 1
test_benchmark_query19 8.9191 (18.42) 23.9760 (30.18) 13.2692 (22.44) 3.6640 (63.22) 12.7555 (21.98) 4.3972 (59.49) 14;2 75.3626 (0.04) 50 1
test_benchmark_query2 1.3465 (2.78) 1.9035 (2.40) 1.4589 (2.47) 0.0886 (1.53) 1.4350 (2.47) 0.1081 (1.46) 18;1 685.4362 (0.41) 79 1
test_benchmark_query20 10.9251 (22.57) 25.8535 (32.54) 11.9840 (20.27) 2.5636 (44.23) 11.2959 (19.46) 0.2591 (3.51) 3;6 83.4447 (0.05) 36 1
test_benchmark_query21 0.4841 (1.0) 0.7945 (1.0) 0.5913 (1.0) 0.0580 (1.0) 0.5804 (1.0) 0.0739 (1.0) 76;6 1,691.0646 (1.0) 250 1
test_benchmark_query22 13.8039 (28.51) 30.7185 (38.66) 19.8331 (33.54) 4.4588 (76.93) 19.3723 (33.38) 6.9103 (93.49) 9;0 50.4206 (0.03) 29 1
test_benchmark_query23 1.1496 (2.37) 4.3593 (5.49) 1.3911 (2.35) 0.2145 (3.70) 1.3585 (2.34) 0.0933 (1.26) 19;32 718.8361 (0.43) 610 1
test_benchmark_query24 1.2693 (2.62) 2.0424 (2.57) 1.5169 (2.57) 0.1056 (1.82) 1.5078 (2.60) 0.1322 (1.79) 107;2 659.2339 (0.39) 353 1
test_benchmark_query25 1.4011 (2.89) 1.9984 (2.52) 1.6455 (2.78) 0.1158 (2.00) 1.6369 (2.82) 0.1343 (1.82) 104;10 607.7344 (0.36) 325 1
test_benchmark_query26 3.2755 (6.77) 10.1319 (12.75) 3.6176 (6.12) 0.5596 (9.65) 3.5371 (6.09) 0.2210 (2.99) 4;6 276.4285 (0.16) 175 1
test_benchmark_query27 9.4421 (19.50) 24.2963 (30.58) 13.3928 (22.65) 3.3355 (57.55) 14.2491 (24.55) 5.3340 (72.16) 30;1 74.6672 (0.04) 81 1
test_benchmark_query28 1.3805 (2.85) 1.9694 (2.48) 1.6460 (2.78) 0.0947 (1.63) 1.6314 (2.81) 0.1175 (1.59) 130;11 607.5488 (0.36) 472 1
test_benchmark_query29 1.0577 (2.18) 3.9660 (4.99) 1.2988 (2.20) 0.2884 (4.98) 1.2493 (2.15) 0.1126 (1.52) 9;15 769.9662 (0.46) 285 1
test_benchmark_query3 1.1598 (2.40) 4.8344 (6.08) 1.3517 (2.29) 0.4075 (7.03) 1.2684 (2.19) 0.0970 (1.31) 3;11 739.8151 (0.44) 126 1
test_benchmark_query4 0.9308 (1.92) 1.2335 (1.55) 1.0504 (1.78) 0.0711 (1.23) 1.0377 (1.79) 0.0961 (1.30) 66;0 952.0332 (0.56) 194 1
test_benchmark_query5 3.5945 (7.42) 4.5954 (5.78) 3.9005 (6.60) 0.1726 (2.98) 3.9024 (6.72) 0.2002 (2.71) 23;2 256.3742 (0.15) 89 1
test_benchmark_query6 0.6538 (1.35) 3.6604 (4.61) 0.8143 (1.38) 0.1904 (3.28) 0.7678 (1.32) 0.1126 (1.52) 29;29 1,228.0319 (0.73) 336 1
test_benchmark_query7 29.8127 (61.58) 40.9078 (51.49) 31.0440 (52.50) 2.0570 (35.49) 30.6197 (52.75) 0.8259 (11.17) 1;1 32.2124 (0.02) 27 1
test_benchmark_query8 2.5916 (5.35) 3.1906 (4.02) 2.7599 (4.67) 0.1295 (2.23) 2.7272 (4.70) 0.1475 (2.00) 35;8 362.3276 (0.21) 138 1
test_benchmark_query9 1.8081 (3.73) 2.3520 (2.96) 2.0342 (3.44) 0.1250 (2.16) 2.0075 (3.46) 0.1910 (2.58) 65;0 491.6035 (0.29) 203 1
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
collected 30 items

benchmark_query.py .............................. [100%]


-------------------------------------------------------------------------------------- benchmark: 30 tests ---------------------------------------------------------------------------------------
Name (time in ms) Min Max Mean StdDev Median IQR Outliers OPS Rounds Iterations
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_benchmark_query1 2.1209 (4.50) 2.6556 (3.34) 2.2756 (3.96) 0.1363 (2.94) 2.2485 (3.97) 0.1500 (2.90) 3;1 439.4414 (0.25) 14 1
test_benchmark_query10 1.6590 (3.52) 4.6478 (5.84) 1.8253 (3.18) 0.1547 (3.34) 1.8034 (3.19) 0.0939 (1.81) 24;21 547.8598 (0.31) 487 1
test_benchmark_query11 7.9723 (16.91) 9.1218 (11.46) 8.5255 (14.84) 0.2622 (5.66) 8.4948 (15.00) 0.4197 (8.11) 29;0 117.2955 (0.07) 80 1
test_benchmark_query12 16.2808 (34.54) 34.7569 (43.65) 20.7133 (36.05) 3.3054 (71.33) 20.3600 (35.96) 2.2653 (43.77) 7;4 48.2782 (0.03) 35 1
test_benchmark_query13 49.2052 (104.40) 59.5040 (74.73) 50.7832 (88.40) 2.2413 (48.36) 50.2405 (88.74) 0.7761 (15.00) 1;2 19.6916 (0.01) 19 1
test_benchmark_query14 1.4937 (3.17) 1.9786 (2.48) 1.6776 (2.92) 0.0824 (1.78) 1.6659 (2.94) 0.1000 (1.93) 111;9 596.0949 (0.34) 379 1
test_benchmark_query15 2.5168 (5.34) 3.1308 (3.93) 2.7355 (4.76) 0.0941 (2.03) 2.7249 (4.81) 0.1155 (2.23) 87;9 365.5617 (0.21) 348 1
test_benchmark_query16 1.8140 (3.85) 2.2756 (2.86) 1.9688 (3.43) 0.0689 (1.49) 1.9644 (3.47) 0.0859 (1.66) 102;6 507.9228 (0.29) 334 1
test_benchmark_query17 2.7828 (5.90) 8.5874 (10.78) 3.0171 (5.25) 0.4188 (9.04) 2.9600 (5.23) 0.1179 (2.28) 6;17 331.4425 (0.19) 281 1
test_benchmark_query18 1.6130 (3.42) 2.3325 (2.93) 1.8234 (3.17) 0.0949 (2.05) 1.8152 (3.21) 0.1185 (2.29) 121;13 548.4163 (0.32) 459 1
test_benchmark_query19 8.5983 (18.24) 23.7949 (29.88) 12.4075 (21.60) 2.7082 (58.44) 12.0801 (21.34) 3.5131 (67.88) 17;2 80.5965 (0.05) 71 1
test_benchmark_query2 1.2590 (2.67) 2.0387 (2.56) 1.4312 (2.49) 0.0977 (2.11) 1.4153 (2.50) 0.1035 (2.00) 61;13 698.6901 (0.40) 279 1
test_benchmark_query20 11.1750 (23.71) 21.4228 (26.90) 11.9200 (20.75) 1.4845 (32.03) 11.4913 (20.30) 0.4432 (8.56) 5;10 83.8925 (0.05) 70 1
test_benchmark_query21 0.4713 (1.0) 0.7962 (1.0) 0.5745 (1.0) 0.0527 (1.14) 0.5661 (1.0) 0.0655 (1.27) 197;20 1,740.6530 (1.0) 724 1
test_benchmark_query22 14.6594 (31.10) 37.5509 (47.16) 24.2478 (42.21) 4.5574 (98.34) 23.0444 (40.70) 5.4208 (104.75) 10;2 41.2409 (0.02) 43 1
test_benchmark_query23 1.2525 (2.66) 4.4241 (5.56) 1.3910 (2.42) 0.1410 (3.04) 1.3794 (2.44) 0.0798 (1.54) 16;15 718.8820 (0.41) 587 1
test_benchmark_query24 1.3565 (2.88) 4.7922 (6.02) 1.5415 (2.68) 0.2381 (5.14) 1.5109 (2.67) 0.0840 (1.62) 21;27 648.7317 (0.37) 642 1
test_benchmark_query25 1.4541 (3.09) 5.7062 (7.17) 1.7919 (3.12) 0.2492 (5.38) 1.7626 (3.11) 0.1363 (2.63) 14;15 558.0717 (0.32) 552 1
test_benchmark_query26 3.4484 (7.32) 4.1133 (5.17) 3.6787 (6.40) 0.1269 (2.74) 3.6656 (6.47) 0.1743 (3.37) 87;1 271.8387 (0.16) 250 1
test_benchmark_query27 10.2395 (21.72) 32.9692 (41.41) 15.2078 (26.47) 4.0537 (87.48) 14.4512 (25.53) 3.5987 (69.54) 14;5 65.7559 (0.04) 73 1
test_benchmark_query28 1.5180 (3.22) 3.8031 (4.78) 1.6778 (2.92) 0.1362 (2.94) 1.6551 (2.92) 0.1071 (2.07) 51;22 596.0221 (0.34) 486 1
test_benchmark_query29 1.0736 (2.28) 3.6777 (4.62) 1.2813 (2.23) 0.1644 (3.55) 1.2672 (2.24) 0.0824 (1.59) 16;21 780.4858 (0.45) 724 1
test_benchmark_query3 1.0963 (2.33) 1.8806 (2.36) 1.2479 (2.17) 0.1060 (2.29) 1.2198 (2.15) 0.1051 (2.03) 65;22 801.3508 (0.46) 408 1
test_benchmark_query30 148.6766 (315.44) 171.5846 (215.49) 158.6827 (276.21) 8.2511 (178.05) 157.0752 (277.45) 12.4123 (239.85) 2;0 6.3019 (0.00) 7 1
test_benchmark_query4 0.8992 (1.91) 1.2998 (1.63) 1.0380 (1.81) 0.0605 (1.30) 1.0327 (1.82) 0.0733 (1.42) 142;13 963.3932 (0.55) 517 1
test_benchmark_query5 3.5444 (7.52) 4.1010 (5.15) 3.7562 (6.54) 0.0961 (2.07) 3.7504 (6.62) 0.1137 (2.20) 53;3 266.2274 (0.15) 181 1
test_benchmark_query6 0.6662 (1.41) 1.0573 (1.33) 0.7689 (1.34) 0.0463 (1.0) 0.7576 (1.34) 0.0518 (1.0) 234;33 1,300.5784 (0.75) 924 1
test_benchmark_query7 29.4940 (62.58) 42.5176 (53.40) 31.1065 (54.15) 2.2509 (48.57) 30.7164 (54.26) 0.8056 (15.57) 2;2 32.1476 (0.02) 31 1
test_benchmark_query8 2.6213 (5.56) 3.2949 (4.14) 2.8580 (4.97) 0.1185 (2.56) 2.8365 (5.01) 0.1521 (2.94) 58;6 349.8981 (0.20) 220 1
test_benchmark_query9 1.8395 (3.90) 5.8372 (7.33) 2.0653 (3.59) 0.2929 (6.32) 2.0221 (3.57) 0.1272 (2.46) 7;15 484.1951 (0.28) 432 1
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
OPS: Operations Per Second, computed as 1 / Mean
==================================== 29 passed in 15.92s ====================================
============================================== 30 passed in 25.36s ===============================================
```
6 changes: 3 additions & 3 deletions kuzu/benchmark_query.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -236,6 +236,6 @@ def test_benchmark_query29(benchmark, connection):
_assert_single_value(result, "has_written_post_with_safari", False)


# def test_benchmark_query30(benchmark, connection):
# result = benchmark(query.run_query30, connection)
# _assert_single_value(result, "has_self_reply", True)
def test_benchmark_query30(benchmark, connection):
result = benchmark(query.run_query30, connection)
_assert_single_value(result, "has_self_reply", True)
6 changes: 3 additions & 3 deletions kuzu/query.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -334,8 +334,8 @@ def run_query29(conn: Connection):
def run_query30(conn: Connection):
"Are there comments replying to posts created by the same person?"
query = """
MATCH (c:Comment)-[:commentHasCreator]->(p:Person)
<-[:postHasCreator]-(post:Post)<-[:replyOfPost]-(c)
MATCH (c:Comment)-[:commentHasCreator]->(creator:Person),
(c)-[:replyOfPost]->(post:Post)-[:postHasCreator]->(creator)
RETURN COUNT(DISTINCT c.ID) > 0 AS has_self_reply;
"""
return _execute(conn, 30, query)
Expand Down Expand Up @@ -371,7 +371,7 @@ def run_query30(conn: Connection):
27: run_query27,
28: run_query28,
29: run_query29,
# 30: run_query30, # Disabled: self-reply query
30: run_query30,
}


Expand Down
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