configuration library for JVM languages using HOCON files
java -Dmyapp.foo.bar=10
application.conf
"foo" : ${bar}
, "foo" : Hello ${who}
)a.b=c
)logdir=${HOME}/logs
)Config
instances, for thread safetyThis library limits itself to config files. If you want to load
config from a database or something, you would need to write some
custom code. The library has nice support for merging
configurations so if you build one from a custom source it’s easy
to merge it in.
Table of Contents generated with DocToc
Typesafe Config is compatible with Java 8 and above.
You can find published releases on Maven Central.
<dependency>
<groupId>com.typesafe</groupId>
<artifactId>config</artifactId>
<version>1.4.3</version>
</dependency>
sbt dependency:
libraryDependencies += "com.typesafe" % "config" % "1.4.3"
Link for direct download if you don’t use a dependency manager:
Please see NEWS.md in this directory,
https://github.com/lightbend/config/blob/main/NEWS.md
.conf
file format, readNOTE: Please read Readme #Maintained-by before spending time suggesting changes to this library.
Report bugs to the GitHub issue tracker. Send patches as pull
requests on GitHub.
Before we can accept pull requests, you will need to agree to the
Typesafe Contributor License Agreement online, using your GitHub
account - it takes 30 seconds. You can do this at
https://www.lightbend.com/contribute/cla
Please see
CONTRIBUTING
for more including how to make a release.
The build uses sbt and the tests are written in Scala; however,
the library itself is plain Java and the published jar has no
Scala dependency.
import com.typesafe.config.ConfigFactory
Config conf = ConfigFactory.load();
int bar1 = conf.getInt("foo.bar");
Config foo = conf.getConfig("foo");
int bar2 = foo.getInt("bar");
See the examples in the examples/
directory.
You can run these from the sbt console with the commands project config-simple-app-java
and then run
.
In brief, as shown in the examples:
Config
instance provided by the app,ConfigFactory.load()
if no special Config
reference.conf
on the classpath.Config
however they wantConfigFactory.load()
is easiest and least-surprising), thenConfig
can be created withConfigFactory
or built up from any fileConfigValueFactory
.Objects are immutable, so methods on Config
which transform the
configuration return a new Config
. Other types such as
ConfigParseOptions
, ConfigResolveOptions
, ConfigObject
,
etc. are also immutable. See the
API docs for
details of course.
There isn’t a schema language or anything like that. However, two
suggested tools are:
In Scala, a Settings class might look like:
class Settings(config: Config) {
// validate vs. reference.conf
config.checkValid(ConfigFactory.defaultReference(), "simple-lib")
// non-lazy fields, we want all exceptions at construct time
val foo = config.getString("simple-lib.foo")
val bar = config.getInt("simple-lib.bar")
}
See the examples/ directory for a full compilable program using
this pattern.
The convenience method ConfigFactory.load()
loads the following
(first-listed are higher priority):
application.conf
(all resources on classpath with this name)application.json
(all resources on classpath with this name)application.properties
(all resources on classpath with thisreference.conf
(all resources on classpath with this name)The idea is that libraries and frameworks should ship with a
reference.conf
in their jar. Applications should provide an
application.conf
, or if they want to create multiple
configurations in a single JVM, they could use
ConfigFactory.load("myapp")
to load their own myapp.conf
.
Libraries and frameworks should default to ConfigFactory.load()
if the application does not provide a custom Config
object. This
way, libraries will see configuration from application.conf
and
users can configure the whole app, with its libraries, in a single
application.conf
file.
Libraries and frameworks should also allow the application to
provide a custom Config
object to be used instead of the
default, in case the application needs multiple configurations in
one JVM or wants to load extra config files from somewhere. The
library examples in examples/
show how to accept a custom config
while defaulting to ConfigFactory.load()
.
For applications using application.{conf,json,properties}
,
system properties can be used to force a different config source
(e.g. from command line -Dconfig.file=path/to/config-file
):
config.resource
specifies a resource name - not aapplication.conf
not application
config.file
specifies a filesystem path, againconfig.url
specifies a URLNote: you need to pass -Dconfig.file=path/to/config-file
before the jar itself, e.g. java -Dconfig.file=path/to/config-file.conf -jar path/to/jar-file.jar
. Same applies for -Dconfig.resource=config-file.conf
These system properties specify a replacement for
application.{conf,json,properties}
, not an addition. They only
affect apps using the default ConfigFactory.load()
configuration. In the replacement config file, you can use
include "application"
to include the original default config
file; after the include statement you could go on to override
certain settings.
If you set config.resource
, config.file
, or config.url
on-the-fly from inside your program (for example with
System.setProperty()
), be aware that ConfigFactory
has some
internal caches and may not see new values for system
properties. Use ConfigFactory.invalidateCaches()
to force-reload
system properties.
reference.conf
and application.conf
The substitution syntax ${foo.bar}
will be resolved
twice. First, all the reference.conf
files are merged and then
the result gets resolved. Second, all the application.conf
are
layered over the unresolved reference.conf
and the result of that
gets resolved again.
The implication of this is that the reference.conf
stack has to
be self-contained; you can’t leave an undefined value ${foo.bar}
to be provided by application.conf
. It is however possible to
override a variable that reference.conf
refers to, as long as
reference.conf
also defines that variable itself.
Any two Config objects can be merged with an associative operation
called withFallback
, like merged = firstConfig.withFallback(secondConfig)
.
The withFallback
operation is used inside the library to merge
duplicate keys in the same file and to merge multiple files.
ConfigFactory.load()
uses it to stack system properties over
application.conf
over reference.conf
.
You can also use withFallback
to merge in some hardcoded values,
or to “lift” a subtree up to the root of the configuration; say
you have something like:
foo=42
dev.foo=57
prod.foo=10
Then you could code something like:
Config devConfig = originalConfig
.getConfig("dev")
.withFallback(originalConfig)
There are lots of ways to use withFallback
.
Many other configuration APIs allow you to provide a default to
the getter methods, like this:
boolean getBoolean(String path, boolean fallback)
Here, if the path has no setting, the fallback would be
returned. An API could also return null
for unset values, so you
would check for null
:
// returns null on unset, check for null and fall back
Boolean getBoolean(String path)
The methods on the Config
interface do NOT do this, for two
major reasons:
null
(or None
, in Scala) then everynull
/None
and that code will almost always just throw annull
at all, so missing settings result inNullPointerException
.For most situations, failure to have a setting is simply a bug to fix
(in either code or the deployment environment). Therefore, if a
setting is unset, by default the getters on the Config
interface
throw an exception.
If you want to allow a setting to be missing from
application.conf
in a particular case, then here are some
options:
reference.conf
included in your library orConfig.hasPath()
method to check in advance whethernull
/None
after asConfigException.Missing
. NOTE: using anConfig.hasPath()
; the JVM has to do a lot of work to throwConfig
with yourConfigFactory.parseMap()
)withFallback()
, and use the combined config in yourreference.conf
file,Config.root()
to get the ConfigObject
for theConfig
; ConfigObject
implements java.util.Map<String,?>
andget()
method on Map
returns null for missing keys. SeeConfig
vs. ConfigObject
.null
in reference.conf
, then useConfig.getIsNull
and Config.hasPathOrNull
to handle null
The recommended path (for most cases, in most apps) is that you
require all settings to be present in either reference.conf
or
application.conf
and allow ConfigException.Missing
to be
thrown if they are not. That’s the design intent of the Config
API design.
Consider the “Settings class” pattern with checkValid()
to
verify that you have all settings when you initialize the
app. See the Schemas and Validation
section of this README for more details on this pattern.
If you do need a setting to be optional: checking hasPath()
in
advance should be the same amount of code (in Java) as checking
for null
afterward, without the risk of NullPointerException
when you forget. In Scala, you could write an enrichment class
like this to use the idiomatic Option
syntax:
implicit class RichConfig(val underlying: Config) extends AnyVal {
def getOptionalBoolean(path: String): Option[Boolean] = if (underlying.hasPath(path)) {
Some(underlying.getBoolean(path))
} else {
None
}
}
Since this library is a Java library it doesn’t come with that out
of the box, of course.
It is understood that sometimes defaults in code make sense. For
example, if your configuration lets users invent new sections, you
may not have all paths up front and may be unable to set up
defaults in reference.conf
for dynamic paths. The design intent
of Config
isn’t to prohibit inline defaults, but simply to
recognize that it seems to be the 10% case (rather than the 90%
case). Even in cases where dynamic defaults are needed, you may
find that using withFallback()
to build a complete
nothing-missing Config
in one central place in your code keeps
things tidy.
Whatever you do, please remember not to cut-and-paste default
values into multiple places in your code. You have been warned!
😃
Config
and ConfigObject
To read and modify configuration, you’ll use the
Config
interface. A Config
looks at a JSON-equivalent data structure as
a one-level map from paths to values. So if your JSON looks like
this:
"foo" : {
"bar" : 42
"baz" : 43
}
Using the Config
interface, you could write
conf.getInt("foo.bar")
. The foo.bar
string is called a path
expression
(HOCON.md
has the syntax details for these expressions). Iterating over this
Config
, you would get two entries; "foo.bar" : 42
and
"foo.baz" : 43
. When iterating a Config
you will not find
nested Config
(because everything gets flattened into one
level).
When looking at a JSON tree as a Config
, null
values are
treated as if they were missing. Iterating over a Config
will
skip null
values.
You can also look at a Config
in the way most JSON APIs would,
through the
ConfigObject
interface. This interface represents an object node in the JSON
tree. ConfigObject
instances come in multi-level trees, and the
keys do not have any syntax (they are just strings, not path
expressions). Iterating over the above example as a
ConfigObject
, you would get one entry "foo" : { "bar" : 42, "baz" : 43 }
, where the value at "foo"
is another nested
ConfigObject
.
In ConfigObject
, null
values are visible (distinct from
missing values), just as they are in JSON.
ConfigObject
is a subtype of ConfigValue, where the other
subtypes are the other JSON types (list, string, number, boolean, null).
Config
and ConfigObject
are two ways to look at the same
internal data structure, and you can convert between them for free
using
Config.root()
and
ConfigObject.toConfig().
As of version 1.3.0, if you have a Java object that follows
JavaBean conventions (zero-args constructor, getters and setters),
you can automatically initialize it from a Config
.
Use
ConfigBeanFactory.create(config.getConfig("subtree-that-matches-bean"), MyBean.class)
to do this.
Creating a bean from a Config
automatically validates that the
config matches the bean’s implied schema. Bean fields can be
primitive types, typed lists such as List<Integer>
,
java.time.Duration
, ConfigMemorySize
, or even a raw Config
,
ConfigObject
, or ConfigValue
(if you’d like to deal with a
particular value manually).
The JSON superset is called “Human-Optimized Config Object
Notation” or HOCON, and files use the suffix .conf
. See
HOCON.md
in this directory for more detail.
After processing a .conf
file, the result is always just a JSON
tree that you could have written (less conveniently) in JSON.
#
or //
{}
around a root object=
as a synonym for :
=
or :
before a {
sofoo { a : 42 }
foo.bar=42
means foo { bar : 42 }
include
feature merges root object in another file intofoo { include "bar.json" }
merges keys inbar.json
into the object foo
.conf
,.json
, .properties
include url("http://example.com")
or file()
orclasspath()
syntax to force the type, or use just include "whatever"
to have the library do what you probably meanurl()
/file()
/classpath()
syntax is not supportedfoo : ${a.b}
sets key foo
to the same valueb
field in the a
objectfoo : the quick ${colors.fox} jumped
${HOME}
would work as you${user.home}
.${?a.b}
to permit them to be missing.+=
syntax to append elements to arrays, path += "/bin"
All of these are valid HOCON.
Start with valid JSON:
{
"foo" : {
"bar" : 10,
"baz" : 12
}
}
Drop root braces:
"foo" : {
"bar" : 10,
"baz" : 12
}
Drop quotes:
foo : {
bar : 10,
baz : 12
}
Use =
and omit it before {
:
foo {
bar = 10,
baz = 12
}
Remove commas:
foo {
bar = 10
baz = 12
}
Use dotted notation for unquoted keys:
foo.bar=10
foo.baz=12
Put the dotted-notation fields on a single line:
foo.bar=10, foo.baz=12
The syntax is well-defined (including handling of whitespace and
escaping). But it handles many reasonable ways you might want to
format the file.
Note that while you can write HOCON that looks a lot like a Java
properties file (and many properties files will parse as HOCON),
the details of escaping, whitespace handling, comments, and so
forth are more like JSON. The spec (see HOCON.md in this
directory) has some more detailed notes on this topic.
The ${foo.bar}
substitution feature lets you avoid cut-and-paste
in some nice ways.
This is the obvious use,
standard-timeout = 10ms
foo.timeout = ${standard-timeout}
bar.timeout = ${standard-timeout}
If you duplicate a field with an object value, then the objects
are merged with last-one-wins. So:
foo = { a : 42, c : 5 }
foo = { b : 43, c : 6 }
means the same as:
foo = { a : 42, b : 43, c : 6 }
You can take advantage of this for “inheritance”:
data-center-generic = { cluster-size = 6 }
data-center-east = ${data-center-generic}
data-center-east = { name = "east" }
data-center-west = ${data-center-generic}
data-center-west = { name = "west", cluster-size = 8 }
Using include
statements you could split this across multiple
files, too.
If you put two objects next to each other (close brace of the first
on the same line with open brace of the second), they are merged, so
a shorter way to write the above “inheritance” example would be:
data-center-generic = { cluster-size = 6 }
data-center-east = ${data-center-generic} { name = "east" }
data-center-west = ${data-center-generic} { name = "west", cluster-size = 8 }
In default uses of the library, exact-match system properties
already override the corresponding config properties. However,
you can add your own overrides, or allow environment variables to
override, using the ${?foo}
substitution syntax.
basedir = "/whatever/whatever"
basedir = ${?FORCED_BASEDIR}
Here, the override field basedir = ${?FORCED_BASEDIR}
simply
vanishes if there’s no value for FORCED_BASEDIR
, but if you set
an environment variable FORCED_BASEDIR
for example, it would be
used.
A natural extension of this idea is to support several different
environment variable names or system property names, if you aren’t
sure which one will exist in the target environment.
Object fields and array elements with a ${?foo}
substitution
value just disappear if the substitution is not found:
// this array could have one or two elements
path = [ "a", ${?OPTIONAL_A} ]
By setting the JVM property -Dconfig.override_with_env_vars=true
it is possible to override any configuration value using environment
variables even if an explicit substitution is not specified.
The environment variable value will override any pre-existing value
and also any value provided as Java property.
With this option enabled only environment variables starting with
CONFIG_FORCE_
are considered, and the name is mangled as follows:
CONFIG_FORCE_
is stripped_
) is converted into a dot(.
)__
) is converted into a dash(-
)___
) is converted into a single underscore(_
)i.e. The environment variable CONFIG_FORCE_a_b__c___d
set the
configuration key a.b-c_d
Setting the value of array items from java properties or environment
variables require specifying the index in the array for the value.
So, while in HOCON you can set multiple values into an array or
append to an array:
## HOCON
items = ["a", "b"]
items += "c"
Using java properties you specify the exact position:
-Ditems.0="a" -Ditems.1="b"
as well as with environment variables:
export CONFIG_FORCE_items_0=a
export CONFIG_FORCE_items_1=b
Values on the same line are concatenated (for strings and
arrays) or merged (for objects).
This is why unquoted strings work, here the number 42
and the
string foo
are concatenated into a string 42 foo
:
key : 42 foo
When concatenating values into a string, leading and trailing
whitespace is stripped but whitespace between values is kept.
Quoted or unquoted strings can also concatenate with substitutions of course:
tasks-url : ${base-url}/tasks
tasks-url : ${base-url}"tasks:colon-must-be-quoted"
Note: the ${}
syntax must be outside the quotes!
A concatenation can refer to earlier values of the same field:
path : "/bin"
path : ${path}":/usr/bin"
Arrays can be concatenated as well:
path : [ "/bin" ]
path : ${path} [ "/usr/bin" ]
There is a shorthand for appending to arrays:
// equivalent to: path = ${?path} [ "/usr/bin" ]
path += "/usr/bin"
To prepend or insert into an array, there is no shorthand.
When objects are “concatenated,” they are merged, so object
concatenation is just a shorthand for defining the same object
twice. The long way (mentioned earlier) is:
data-center-generic = { cluster-size = 6 }
data-center-east = ${data-center-generic}
data-center-east = { name = "east" }
The concatenation-style shortcut is:
data-center-generic = { cluster-size = 6 }
data-center-east = ${data-center-generic} { name = "east" }
When concatenating objects and arrays, newlines are allowed
inside each object or array, but not between them.
Non-newline whitespace is never a field or element separator. So
[ 1 2 3 4 ]
is an array with one unquoted string element
"1 2 3 4"
. To get an array of four numbers you need either commas or
newlines separating the numbers.
See the spec for full details on concatenation.
Note: Play/Akka 2.0 have an earlier version that supports string
concatenation, but not object/array concatenation. +=
does not
work in Play/Akka 2.0 either. Post-2.0 versions support these
features.
If you have trouble with your configuration, some useful tips.
-Dconfig.trace=loads
to getmyConfig.root().render()
to get a Config
as acom.typesafe.config.ConfigException$Missing: No configuration setting found for key foo
,ClassLoader
in manually - e.g. with ConfigFactory.load(getClass().getClassLoader())
contextClassLoader
, and in some cases,Currently the library is maintained against Java 8, but
version 1.2.1 and earlier will work with Java 6.
Please use 1.2.1 if you need Java 6 support, though some people
have expressed interest in a branch off of 1.3.x supporting
Java 7. If you want to work on that branch you might bring it up
on chat. We can release a
jar for Java 7 if someone(s) steps up to maintain the branch. The
main branch does not use Java 8 “gratuitously” but some APIs
that use Java 8 types will need to be removed.
(For the curious.)
The three file formats each have advantages.
.properties
:
.conf
:
The idea would be to use JSON if you’re writing a script to spit
out config, and use HOCON if you’re maintaining config by hand.
If you’re doing both, then mix the two.
Two alternatives to HOCON syntax could be:
!include
, and substitutions in HOCON!subst
, for example. The"$include" : "filename"
or allow "foo" : "${bar}"
.This may not be comprehensive - if you’d like to add mention of
your wrapper, just send a pull request for this README. We would
love to know what you’re doing with this library or with the HOCON
format.
The license is Apache 2.0, see LICENSE-2.0.txt.
The “Typesafe Config” library is an important foundation to how Akka and other JVM libraries manage configuration. We at Lightbend consider the functionality of this library as feature complete. We will make sure “Typesafe Config” keeps up with future JVM versions, but will rarely make any other changes.
We are thankful for all the work @havocp has put into creating the library initially and supporting its users over many more years, even after leaving Lightbend.