TomWright/dasel
Query and update data structures from the command line. Comparable to jq/yq but supports JSON, TOML, YAML and XML with zero runtime dependencies.
repo name | TomWright/dasel |
repo link | https://github.com/TomWright/dasel |
homepage | |
language | Go |
size (curr.) | 5384 kB |
stars (curr.) | 346 |
created | 2020-09-22 |
license | MIT License |
dasel
Dasel (short for data-selector) allows you to query and modify data structures using selector strings.
Comparable to jq / yq, but supports JSON, YAML, TOML and XML with zero runtime dependencies.
Features
- Query/select data from structured data files.
- Update data in structured data files.
- Supports multiple data formats/types.
- Uses a standard query/selector syntax across all data formats.
- Zero runtime dependencies.
- Available on Linux, Mac and Windows.
- Available to import and use in your own projects.
- Run via Docker.
Table of contents
Playground
You can test out dasel commands using the playground.
Source code for the playground can be found at github.com/TomWright/daselplayground.
Installation
You can import dasel as a package and use it in your applications, or you can use a pre-built binary to modify files from the command line.
Command line
Go
You can go get
the main
package and go should automatically build and install dasel for you.
go get github.com/tomwright/dasel/cmd/dasel
Binary on release
You can download a compiled executable from the latest release.
Linux amd64
This one liner should work for you - be sure to change the targeted release executable if needed. It currently targets dasel_linux_amd64
.
curl -s https://api.github.com/repos/tomwright/dasel/releases/latest | grep browser_download_url | grep linux_amd64 | cut -d '"' -f 4 | wget -qi - && mv dasel_linux_amd64 dasel && chmod +x dasel
mv ./dasel /usr/local/bin/dasel
Mac OS amd64
You may have to brew install wget
in order for this to work.
curl -s https://api.github.com/repos/tomwright/dasel/releases/latest | grep browser_download_url | grep macos_amd64 | cut -d '"' -f 4 | wget -qi - && mv dasel_macos_amd64 dasel && chmod +x dasel
mv ./dasel /usr/local/bin/dasel
Docker
You also have the option of using the docker image to run dasel for you.
echo '{"name": "Tom"}' | docker run -i --rm ghcr.io/tomwright/dasel:latest -p json '.name'
"Tom"
Docker images are pushed to the github container repository: tomwright/dasel.
If you want to use a specific version of dasel simply change latest
to the desired version.
latest
- The latest released version.dev
- The latest build frommaster
branch.v*.*.*
- The build from the given release.
Go get
As with any other go package, just use go get
.
go get github.com/tomwright/dasel
The documentation for this is still a WIP. Please raise an issue if you have a specific need for this and I’ll do my best to help out.
Notes
Preserved formatting and ordering
The formatting of files can be changed while being processed. Dasel itself doesn’t make these changes, rather the act of marshaling the results.
In short, the output files may have properties in a different order but the actual contents will be as expected.
Memory usage
Dasel’s method of querying data requires that the entire input document is stored in memory.
You should keep this in mind as the maximum filesize it can process will be limited by your system’s available resources (specifically RAM).
Usage
dasel -h
An important note is that if no sub-command is given, dasel will default to select
.
Select
dasel select -f <file> -p <parser> <selector>
Arguments
-f
, --file
Specify the file to query. This is required unless you are piping in data.
If piping in data you can optionally pass -f stdin
/-f -
.
-p
, --parser
Specify the parser to use when reading the file.
This is required if you are piping in data, otherwise dasel will use the given file extension to guess which parser to use.
See supported file types.
-s
, --selector
, <selector>
Specify the selector to use. See Selectors for more information.
If no selector flag is given, dasel assumes the first argument given is the selector.
This is required.
--plain
By default, dasel formats the output using the specified parser.
If this flag is used no formatting occurs and the results output as a string.
Example
Select the image within a kubernetes deployment manifest file:
dasel select -f deployment.yaml "spec.template.spec.containers.(name=auth).image"
"tomwright/auth:v1.0.0"
Piping data into the select:
cat deployment.yaml | dasel select -p yaml "spec.template.spec.containers.(name=auth).image"
"tomwright/auth:v1.0.0"
Put
dasel put <type> -f <file> -o <out> -p <parser> <selector> <value>
echo "name: Tom" | ./dasel put string -p yaml "name" Jim
name: Jim
Arguments
type
The type of value you want to put.
Available arguments:
string
int
bool
object
- see Put Object
-f
, --file
Specify the file to query. This is required unless you are piping in data.
If piping in data you can optionally pass -f stdin
/-f -
.
-o
, --out
Specify the output file. If present, results will be written to the given file. If not present, results will be written to the input file (or stdout if none given).
To force output to be written to stdout, pass -o stdout
/-o -
.
-p
, --parser
Specify the parser to use when reading/writing the input/output files.
This is required if you are piping in data, otherwise dasel will use the given file extension to guess which parser to use.
See supported file types.
-s
, --selector
, <selector>
Specify the selector to use. See Selectors for more information.
If no selector flag is given, dasel assumes the first argument given is the selector.
This is required.
value
The value to write.
Dasel will parse this value as a string, int, or bool from this value depending on the given type
.
This is required.
Put Object
Putting objects works slightly differently to a standard put, but the same principles apply.
dasel put object -f <file> -o <out> -p <parser> -t <type> <selector> <values>
Arguments
-t
, --type
The type of value you want to put.
You must repeat this argument for each value provided.
Available arguments:
string
int
bool
-f
, --file
Specify the file to query. This is required unless you are piping in data.
If piping in data you can optionally pass -f stdin
/-f -
.
-o
, --out
Specify the output file. If present, results will be written to the given file. If not present, results will be written to the input file (or stdout if none given).
To force output to be written to stdout, pass -o stdout
/-o -
.
-p
, --parser
Specify the parser to use when reading/writing the input/output files.
This is required if you are piping in data, otherwise dasel will use the given file extension to guess which parser to use.
See supported file types.
-s
, --selector
, <selector>
Specify the selector to use. See Selectors for more information.
If no selector flag is given, dasel assumes the first argument given is the selector.
This is required.
values
A space-separated list of key=value
pairs.
Dasel will parse each value as a string, int, or bool depending on the related type
.
This is required.
Example
echo "" | dasel put object -p yaml -t string -t int "my.favourites" colour=red number=3
Results in the following:
my:
favourites:
colour: red
number: 3
Supported file types
Dasel attempts to find the correct parser for the given file type, but if that fails you can choose which parser to use with the -p
or --parser
flag.
JSON
-p json
Using golang.org/pkg/encoding/json.
TOML
-p toml
Using github.com/pelletier/go-toml.
YAML
-p yaml
Using gopkg.in/yaml.v2.
Multi-document files
Multi-document files are not supported. This is due to limitations in the yaml parser used.
XML
-p xml
Using github.com/clbanning/mxj.
Arrays/Lists
Due to the way that XML is decoded, dasel can only detect something as a list if there are at least 2 items.
If you try to use list selectors (dynamic, index, append) when there are less than 2 items in the list you will get an error.
There are no plans to introduce a workaround for this but if there is enough demand it may be worked on in the future.
Selectors
Selectors define a path through a set of data.
Selectors are made up of different parts separated by a dot .
, each part being used to identify the next node in the chain.
The following YAML data structure will be used as a reference in the following examples.
name: Tom
preferences:
favouriteColour: red
colours:
- red
- green
- blue
colourCodes:
- name: red
rgb: ff0000
- name: green
rgb: 00ff00
- name: blue
rgb: 0000ff
Property
Property selectors are used to reference a single property of an object.
Just use the property name as a string.
dasel select -f ./tests/assets/example.yaml -s "name"
Tom
name
==Tom
Child Elements
Just separate the child element from the parent element using a .
:
dasel select -f ./tests/assets/example.yaml -s "preferences.favouriteColour"
red
preferences.favouriteColour
==red
Index
When you have a list, you can use square brackets to access a specific item in the list by its index.
dasel select -f ./tests/assets/example.yaml -s "colours.[1]"
green
colours.[0]
==red
colours.[1]
==green
colours.[2]
==blue
Next Available Index
The next available index selector is used when adding to a list of items. It allows you to append to a list.
colours.[]
Dynamic
Dynamic selectors are used with lists when you don’t know the index of the item, but instead want to find the index based on some other criteria.
Dasel currently supports key/query=value
checks but I aim to support more check types in the future.
Look ups are defined in brackets. You can use multiple dynamic selectors within the same part to perform multiple checks.
dasel select -f ./tests/assets/example.yaml -s "colourCodes.(name=red).rgb"
ff0000
dasel select -f ./tests/assets/example.yaml -s "colourCodes.(name=blue)(rgb=0000ff)"
map[name:blue rgb:0000ff]
colourCodes.(name=red).rgb
==ff0000
colourCodes.(name=green).rgb
==00ff00
colourCodes.(name=blue).rgb
==0000ff
colourCodes.(name=blue)(rgb=0000ff).rgb
==0000ff
If you want to refer to the value of a non-object value in a list, just define the key as value
or .
, meaning the current value. This may look something like (value=2)
.
Using queries in dynamic selectors
When performing a check dasel creates a new root node at the current position and then selects data using the given key as the query.
This allows you to perform complex queries such as…
echo `{
"users": [
{
"name": {
"first": "Tom",
"last": "Wright"
},
"addresses": [
{
"primary": true,
"number": 123
},
{
"primary": false,
"number": 456
}
]
}
]
}` | dasel -p json '.users.(.addresses.(.primary=true).number=123).name.first'
"Tom"
The above query in plain English may read as…
Give me the first name of the user who’s primary address is at number 123
The resolution of that query looks something like this:
.users.(.addresses.(.primary=true).number=123).name.first
.users.(.addresses.[0].number=123).name.first
.users.[0].name.first
Examples
General
Filter JSON API results
The following line will return the download URL for the latest macOS dasel release:
curl https://api.github.com/repos/tomwright/dasel/releases/latest | dasel -p json --plain '.assets.(name=dasel_macos_amd64).browser_download_url'
jq to dasel
The follow examples show a set of jq commands and the equivalent in dasel.
Select a single value
echo '{"name": "Tom"}' | jq '.name'
"Tom"
echo '{"name": "Tom"}' | dasel -p json '.name'
"Tom"
Select a nested value
echo '{"user": {"name": "Tom", "age": 27}}' | jq '.user.age'
27
echo '{"user": {"name": "Tom", "age": 27}}' | dasel -p json '.user.age'
27
Select an array index
echo '[1, 2, 3]' | jq '.[1]'
2
echo '[1, 2, 3]' | dasel -p json '.[1]'
2
Append to an array of strings
echo '["a", "b", "c"]' | jq '. += ["d"]'
[
"a",
"b",
"c",
"d"
]
echo '["a", "b", "c"]' | dasel put string -p json -s '.[]' d
[
"a",
"b",
"c",
"d"
]
Update a string value
echo '["a", "b", "c"]' | jq '.[1] = "d"'
[
"a",
"d",
"c"
]
echo '["a", "b", "c"]' | dasel put string -p json -s '.[1]' d
[
"a",
"d",
"c"
]
Update an int value
echo '[1, 2, 3]' | jq '.[1] = 5'
[
1,
5,
3
]
echo '[1, 2, 3]' | dasel put int -p json -s '.[1]' 5
[
1,
5,
3
]
Overwrite an object
echo '{"user": {"name": "Tom", "age": 27}}' | jq '.user = {"name": "Frank", "age": 25}'
{
"user": {
"name": "Frank",
"age": 25
}
}
echo '{"user": {"name": "Tom", "age": 27}}' | dasel put object -p json -s '.user' -t string -t int name=Frank age=25
{
"user": {
"age": 25,
"name": "Frank"
}
}
Append to an array of objects
echo '{"users": [{"name": "Tom"}]}' | jq '.users += [{"name": "Frank"}]'
{
"users": [
{
"name": "Tom"
},
{
"name": "Frank"
}
]
}
echo '{"users": [{"name": "Tom"}]}' | dasel put object -p json -s '.users[]' -t string name=Frank
{
"users": [
{
"name": "Tom"
},
{
"name": "Frank"
}
]
}
yq to dasel
The follow examples show a set of yq commands and the equivalent in dasel.
Select a single value
echo 'name: Tom' | yq '.name'
"Tom"
echo 'name: Tom' | dasel -p yaml '.name'
Tom
Select a nested value
echo 'user:
name: Tom
age: 27' | yq '.user.age'
27
echo 'user:
name: Tom
age: 27' | dasel -p yaml '.user.age'
27
Select an array index
echo '- 1
- 2
- 3' | yq '.[1]'
2
echo '- 1
- 2
- 3' | dasel -p yaml '.[1]'
2
Append to an array of strings
echo '- a
- b
- c' | yq --yaml-output '. += ["d"]'
- a
- b
- c
- d
echo '- a
- b
- c' | dasel put string -p yaml -s '.[]' d
- a
- b
- c
- d
Update a string value
echo '- a
- b
- c' | yq --yaml-output '.[1] = "d"'
- a
- d
- c
echo '- a
- b
- c' | dasel put string -p yaml -s '.[1]' d
- a
- d
- c
Update an int value
echo '- 1
- 2
- 3' | yq --yaml-output '.[1] = 5'
- 1
- 5
- 3
echo '- 1
- 2
- 3' | dasel put int -p yaml -s '.[1]' 5
- 1
- 5
- 3
Overwrite an object
echo 'user:
name: Tom
age: 27' | yq --yaml-output '.user = {"name": "Frank", "age": 25}'
user:
name: Frank
age: 25
echo 'user:
name: Tom
age: 27' | dasel put object -p yaml -s '.user' -t string -t int name=Frank age=25
user:
age: 25
name: Frank
Append to an array of objects
echo 'users:
- name: Tom' | yq --yaml-output '.users += [{"name": "Frank"}]'
users:
- name: Tom
- name: Frank
echo 'users:
- name: Tom' | dasel put object -p yaml -s '.users[]' -t string name=Frank
users:
- name: Tom
- name: Frank
Kubernetes
The following should work on a kubernetes deployment manifest. While kubernetes isn’t for everyone, it does give some good example use-cases.
Select the image for a container named auth
dasel select -f deployment.yaml -s "spec.template.spec.containers.(name=auth).image"
tomwright/x:v2.0.0
Change the image for a container named auth
dasel put string -f deployment.yaml -s "spec.template.spec.containers.(name=auth).image" "tomwright/x:v2.0.0"
Update replicas to 3
dasel put int -f deployment.yaml -s "spec.replicas" 3
Add a new env var
dasel put object -f deployment.yaml -s "spec.template.spec.containers.(name=auth).env.[]" -t string -t string name=MY_NEW_ENV_VAR value=MY_NEW_VALUE
Update an existing env var
dasel put string -f deployment.yaml -s "spec.template.spec.containers.(name=auth).env.(name=MY_NEW_ENV_VAR).value" NEW_VALUE
XML Examples
XML has some slight differences (such as attributes) that should be documented.
Query attributes
Decoded attributes are set as properties on the related object with a prefix of -
.
echo '<data>
<users primary="true">
<name>Tom</name>
</users>
<users primary="false">
<name>Frank</name>
</users>
</data>' | dasel -p xml '.data.users[0].-primary'
true
Filtering on attributes
We can also filter on attributes since they are defined against the related object.
echo '<data>
<users primary="true">
<name>Tom</name>
</users>
<users primary="false">
<name>Frank</name>
</users>
</data>' | dasel -p xml '.data.users.(-primary=true).name'
Tom