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Benchmarks

These benchmarks are auto generated using ./benchmark/run.sh.

brew install hyperfine
pip install matplotlib
./benchmark/run.sh

I have put together what I believe to be equivalent commands in dasel/jq/yq.

If you have any feedback or wish to add new benchmarks please submit a PR.

Benchmarks

Root Object

Root Object

Command Mean [ms] Min [ms] Max [ms] Relative
daselv2 -f benchmark/data.json 6.6 ± 0.2 6.1 7.2 1.00
dasel -f benchmark/data.json 8.7 ± 0.5 8.0 10.3 1.33 ± 0.09
jq '.' benchmark/data.json 28.1 ± 0.7 27.0 31.5 4.28 ± 0.19
yq --yaml-output '.' benchmark/data.yaml 127.9 ± 3.1 124.5 151.6 19.50 ± 0.84

Top level property

Top level property

Command Mean [ms] Min [ms] Max [ms] Relative
daselv2 -f benchmark/data.json 'id' 6.6 ± 0.2 6.1 7.4 1.00
dasel -f benchmark/data.json '.id' 8.3 ± 0.3 7.8 9.7 1.27 ± 0.06
jq '.id' benchmark/data.json 28.2 ± 0.9 27.1 31.5 4.31 ± 0.21
yq --yaml-output '.id' benchmark/data.yaml 128.4 ± 10.1 124.4 211.7 19.59 ± 1.71

Nested property

Nested property

Command Mean [ms] Min [ms] Max [ms] Relative
daselv2 -f benchmark/data.json 'user.name.first' 6.5 ± 0.2 6.1 7.3 1.00
dasel -f benchmark/data.json '.user.name.first' 8.3 ± 0.3 7.9 9.9 1.28 ± 0.07
jq '.user.name.first' benchmark/data.json 28.2 ± 0.9 27.0 32.9 4.34 ± 0.22
yq --yaml-output '.user.name.first' benchmark/data.yaml 126.7 ± 2.1 124.5 138.2 19.52 ± 0.81

Array index

Array index

Command Mean [ms] Min [ms] Max [ms] Relative
daselv2 -f benchmark/data.json 'favouriteNumbers.[1]' 6.5 ± 0.2 6.0 7.5 1.00
dasel -f benchmark/data.json '.favouriteNumbers.[1]' 8.6 ± 0.7 7.9 11.3 1.33 ± 0.12
jq '.favouriteNumbers[1]' benchmark/data.json 28.4 ± 1.6 27.3 38.1 4.36 ± 0.29
yq --yaml-output '.favouriteNumbers[1]' benchmark/data.yaml 128.3 ± 9.2 124.2 213.8 19.69 ± 1.59

Append to array of strings

Append to array of strings

Command Mean [ms] Min [ms] Max [ms] Relative
daselv2 put -f benchmark/data.json -t string -v 'blue' -o - 'favouriteColours.[]' 6.6 ± 0.3 6.1 8.3 1.00
dasel put string -f benchmark/data.json -o - '.favouriteColours.[]' blue 8.4 ± 0.3 7.8 9.2 1.28 ± 0.07
jq '.favouriteColours += ["blue"]' benchmark/data.json 28.3 ± 0.9 27.4 32.7 4.31 ± 0.25
yq --yaml-output '.favouriteColours += ["blue"]' benchmark/data.yaml 127.6 ± 2.4 124.1 140.3 19.45 ± 1.01

Update a string value

Update a string value

Command Mean [ms] Min [ms] Max [ms] Relative
daselv2 put -f benchmark/data.json -t string -v 'blue' -o - 'favouriteColours.[0]' 6.6 ± 0.3 6.1 7.4 1.00
dasel put string -f benchmark/data.json -o - '.favouriteColours.[0]' blue 9.5 ± 1.7 8.0 12.9 1.45 ± 0.27
jq '.favouriteColours[0] = "blue"' benchmark/data.json 28.5 ± 1.3 27.3 33.1 4.33 ± 0.26
yq --yaml-output '.favouriteColours[0] = "blue"' benchmark/data.yaml 127.3 ± 2.7 125.0 149.4 19.36 ± 0.86

Overwrite an object

Overwrite an object

Command Mean [ms] Min [ms] Max [ms] Relative
daselv2 put -f benchmark/data.json -o - -t json -v '{"first":"Frank","last":"Jones"}' 'user.name' 6.3 ± 0.3 6.0 7.2 1.00
dasel put document -f benchmark/data.json -o - -d json '.user.name' '{"first":"Frank","last":"Jones"}' 8.3 ± 0.3 7.8 9.6 1.31 ± 0.07
jq '.user.name = {"first":"Frank","last":"Jones"}' benchmark/data.json 28.2 ± 1.0 27.2 31.7 4.45 ± 0.23
yq --yaml-output '.user.name = {"first":"Frank","last":"Jones"}' benchmark/data.yaml 127.5 ± 2.5 124.6 143.8 20.10 ± 0.89

List keys of an array

List keys of an array

Command Mean [ms] Min [ms] Max [ms] Relative
daselv2 -f benchmark/data.json 'all().key()' 6.4 ± 0.3 6.0 7.4 1.00
dasel -f benchmark/data.json -m '.-' 8.3 ± 0.3 7.8 9.6 1.30 ± 0.07
jq 'keys[]' benchmark/data.json 28.1 ± 1.0 27.1 32.1 4.41 ± 0.24
yq --yaml-output 'keys[]' benchmark/data.yaml 126.6 ± 2.1 123.7 138.3 19.82 ± 0.88

Delete property

Delete property

Command Mean [ms] Min [ms] Max [ms] Relative
daselv2 delete -f benchmark/data.json -o - 'id' 6.5 ± 0.3 6.1 8.2 1.00
dasel delete -f benchmark/data.json -o - '.id' 8.4 ± 0.3 7.9 10.1 1.30 ± 0.08
jq 'del(.id)' benchmark/data.json 28.3 ± 0.9 27.4 32.0 4.38 ± 0.24
yq --yaml-output 'del(.id)' benchmark/data.yaml 127.5 ± 2.7 124.7 147.3 19.74 ± 0.99