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From Wikipedia, the free encyclopedia

YAML (IPA: /ˈjæməl/, rhymes with camel) is a human-readable data serialization format that takes concepts from languages such as XML, C, Python, Perl, as well as the format for electronic mail as specified by RFC 2822. YAML was first proposed by Clark Evans in 2001,^[1] who designed it together with Ingy döt Net and Oren Ben-Kiki. It is available for several programming and scripting languages.

YAML is a recursive acronym for "YAML Ain't a Markup Language". Early in its development, YAML was said to mean "Yet Another Markup Language"^[2], but was retronymed to distinguish its purpose as data-centric, rather than document markup.

Contents 1 Features 2 Examples 2.1 Sample document 3 Language elements 3.1 Basic components of YAML 3.1.1 Lists 3.1.2 Hashes 3.1.3 Block literals 3.1.3.1 Newlines preserved 3.1.3.2 Newlines folded 3.1.4 Hierarchical combinations of elements 3.1.4.1 Lists of hashes 3.1.4.2 Hashes of lists 3.2 Advanced components of YAML 3.2.1 Relational trees 3.2.1.1 Data merge and references 3.2.2 Data types 3.2.2.1 Casting data types 3.2.2.2 Other specified data types 3.2.2.3 Extension for user-defined data types 3.3 Syntax 4 Comparison to other data structure format languages 4.1 JSON 4.2 XML and SDL 4.3 Indented delimiting 4.4 Non-hierarchical data models 4.5 Practical considerations 4.5.1 Security 4.6 Data processing and representation 5 Implementations 5.1 Portability 5.2 C libraries 5.3 YAML Parser in C# 5.4 Bindings 5.5 Pitfalls and implementation defects 6 See also 7 Notes and references 8 External links

[edit] Features

YAML syntax was designed to be easily mapped to data types common to most high-level languages: list, hash, and scalar.^[3] Its familiar indented outline and lean appearance makes it especially suited for tasks where humans are likely to view or edit data structures, such as configuration files, dumping during debugging, and document headers (e.g. the headers found on most e-mails are very close to YAML). Although well-suited for hierarchical data representation, it also has a compact syntax for a relational data as well.^[4] Its line and whitespace delimiters make it friendly to ad hoc grep/Python/Perl/Ruby operations. A major part of its accessibility comes from eschewing the use of enclosures like quotation marks, brackets, braces, and open/close-tags which can be hard for the human eye to balance in nested hierarchies.

[edit] Examples

[edit] Sample document

Data structure hierarchy is maintained by outline indentation.

---
receipt:     Oz-Ware Purchase Invoice
date:        2007-08-06
customer:
    given:   Dorothy
    family:  Gale
   
items:
    - part_no:   A4786
      descrip:   Water Bucket (Filled)
      price:     1.47
      quantity:  4

    - part_no:   E1628
      descrip:   High Heeled "Ruby" Slippers 
      price:     100.27
      quantity:  1

bill-to:  &id001
    street: | 
            123 Tornado Alley
            Suite 16
    city:   East Westville
    state:  KS

ship-to:  *id001   

specialDelivery:  >
    Follow the Yellow Brick
    Road to the Emerald City.
    Pay no attention to the 
    man behind the curtain.
...

Notice that strings do not require enclosure in quotations. The specific number of spaces in the indentation is unimportant as long as parallel elements have the same left justification and the hierarchically nested elements are indented further. This sample document defines a hash with 7 top level keys: one of the keys, "items", contains a 2 element array (or "list"), each element of which is itself a hash with four keys. Relational data and redundancy removal are displayed: the "ship-to" hash content is copied from the "bill-to" hash's content as indicated by the anchor(&) and reference(*) labels. Optional blank lines can be added for readability. Multiple documents can exist in a single file/stream and are separated by "---". An optional "..." can be used at the end of a file (useful for signalling an end in streamed communications without closing the pipe).

[edit] Language elements

[edit] Basic components of YAML

YAML offers both an indented and an "in-line" style for denoting hashes and lists. Here is a sampler of the components.

[edit] Lists

Conventional block format uses a dash to begin a new item in list

--- # Favorite movies
- Casablanca
- North by Northwest
- The Man Who Wasn't There

Optional inline format is delimited by comma+space and enclosed in brackets (similar to JSON)^[5]

--- # Shopping list 
[milk, pumpkin pie, eggs, juice]

[edit] Hashes

Keys are separated from values by a colon-space.

--- # Block
name: John Smith
age: 33
--- # Inline
{name: John Smith, age: 33}

[edit] Block literals

Strings do not require quotation.

[edit] Newlines preserved

--- |
  There once was a man from Darjeeling
  Who got on a bus bound for Ealing
      It said on the door
      "Please don't spit on the floor"
  So he carefully spat on the ceiling

By default, leading and trailing white space is stripped, though other behavior can be explicitly specified.

[edit] Newlines folded

--- >
  Wrapped text
  will be folded
  into a single
  paragraph
  
  Blank lines denote
  paragraph breaks

Folded text converts newlines to spaces and removes leading whitespace.

[edit] Hierarchical combinations of elements

[edit] Lists of hashes

- {name: John Smith, age: 33}
- name: Mary Smith
  age: 27

[edit] Hashes of lists

men: [John Smith, Bill Jones]
women:
  - Mary Smith
  - Susan Williams

[edit] Advanced components of YAML

As discussed in a subsequent section, two features that distinguish YAML from the capabilities of other data serialization languages are Relational trees and Data Typing.

[edit] Relational trees

[edit] Data merge and references

For clarity, compactness, and avoiding data entry errors, YAML provides node references (*) and hash merges (<<) that refer to a node labeled with an anchor (&) tag. References branch the tree to the anchor and work for all data types (see the ship-to reference in the example above). Merges are for hashes only, and merge the keys at the anchor into the referring hashmap.

Merges and references are automatically expanded by the parser when the data structure is instantiated. This can greatly enhance readability and facilitate editing: below is an example of a queue in an instrument sequencer in which each subsequent step only lists the elements that are changed from the first step. When a YAML parser loads this array, all the "step" hashes will have the 5 keys specified in first step.

# sequencer protocols for Laser eye surgery
---
- step:  &id001                  # defines anchor label &id001
    instrument:      Lasik 2000
    pulseEnergy:     5.4
    pulseDuration:   12
    repetition:      1000
    spotSize:        1mm

- step:
     <<: *id001                  # merges key:value pairs defined in step1 anchor
     spotSize:       2mm         # overrides "spotSize" key's value

- step:
     <<: *id001                  # merges key:value pairs defined in step1 anchor
     pulseEnergy:    500.0       # overrides key
     alert: >                    # adds additional key
           warn patient of 
           audible pop

[edit] Data types

Explicit data typing is seldom seen in the majority of YAML documents since YAML autodetects simple types. Data types can be divided into three categories: core, defined, and user-defined. Core are ones expected to exist in any parser (e.g floats, ints, strings, lists, maps, ...). Many more advanced data types, such as binary data, are defined in the YAML specification but not supported in all implementations. Finally YAML defines a way to extend the data type definitions locally to accommodate user defined classes, structures or primitives (e.g. quad precision floats).

[edit] Casting data types

YAML autodetects the datatype of the entity. Sometimes one wants to cast the datatype explicitly. The most common situation is a single word string that looks like a number, boolean or tag may need disambiguation by surrounding it with quotes or use of an explicit datatype tag.

---
a: 123                     # an integer
b: "123"                   # a string, disambiguated by quotes
c: 123.0                   # a float
d: !!float 123             # also a float via explicit data type prefixed by (!!)
e: !!str 123               # a string, disambiguated by explicit type
f: !!str Yes               # a string via explicit type
g: Yes                     # a boolean True
h: Yes we have No bananas  # a string, "Yes" and "No" disambiguated by context.

[edit] Other specified data types

Not every implementation of YAML has every specification-defined data type. These built-in types use a double exclamation sigil prefix(!!). Particularly interesting ones not shown here are sets, ordered maps, timestamps, and hexadecimal. Here's an example of binary data.

---
picture: !!binary |
 R0lGODlhDAAMAIQAAP//9/X
 17unp5WZmZgAAAOfn515eXv
 Pz7Y6OjuDg4J+fn5OTk6enp
 56enmleECcgggoBADs=mZmE

[edit] Extension for user-defined data types

Many implementations of YAML can support user defined data types. This is a good way to serialize an object. Local data types are not universal data types but are defined in the application using the YAML parser library. Local data types use a single exclamation mark(!).

---
myObject:  !myClass { name: Joe, age: 15}

[edit] Syntax

A compact cheat-sheet (actually written in YAML) as well as a full specification are available at yaml.org. The following is a synopsis of the basic elements.

• YAML streams are encoded using the set of printable Unicode characters, either in UTF-8 or UTF-16
• Whitespace indentation is used to denote structure; however tab characters are never allowed as indentation
• Comments begin with the number sign ( # ), can start anywhere on a line, and continue until the end of the line
• List members are denoted by a leading hyphen ( - ) with one member per line, or enclosed in square brackets ( [ ] ) and separated by comma space ( ,   ).
• Hashes are represented using the colon space ( :   ) in the form key: value, either one per line or enclosed in curly braces ( {   } ) and separated by comma space ( ,   ).
  • A hash key may be prefixed with a question mark ( ? ) to allow for liberal multi-word keys to be represented unambiguously.
• Strings (scalars) are ordinarily unquoted, but may be enclosed in double-quotes ( " ), or single-quotes ( ' ).
  • Within double-quotes, special characters may be represented with C-style escape sequences starting with a backslash ( \ ).
• Block scalars are delimited with indentation with optional modifiers to preserve ( | ) or fold ( > ) newlines
• Multiple documents within a single stream are separated by three hyphens ( --- )
  • three periods ( ... ) optionally end a file within a stream
• Repeated nodes are initially denoted by an ampersand ( & ) and thereafter referenced with an asterisk ( * )
• Nodes may be labeled with a type or tag using the exclamation point ( !! ) followed by a string which can be expanded into a URI.
• YAML documents in a stream may be preceded by directives composed of a percent sign ( % ) followed by a name and space delimited parameters. Two directives are defined in YAML 1.1:
  • The %YAML directive is used to identify the version of yaml in a given document.
  • The %TAG directive is used as a shortcut for URI prefixes. These shortcuts may then be used in node type tags.

YAML requires that colons and commas used as list separators be followed by a space so that scalar values containing embedded punctuation (such as 5,280 or http://www.wikipedia.org) can generally be represented without needing to be enclosed in quotes.

Two additional sigil characters are reserved in YAML for possible future standardisation: the at sign ( @ ) and accent grave ( ` ).

[edit] Comparison to other data structure format languages

While YAML shares similarities with JSON, XML and SDL, it also has characteristics that are unique in comparison to many other similar format languages.

[edit] JSON

JSON syntax is a subset of YAML 1.2,^[6] and nearly a subset of YAML 1.0 and 1.1,^[7] and most JSON documents can be parsed by a YAML parser.^[8] This is because JSON's semantic structure is equivalent to the optional "inline-style" of writing YAML. While extended hierarchies can be written in inline-style like JSON, this is not a recommended YAML style except when it aids clarity. YAML has additional features lacking in JSON such as extensible data types, relational anchors, strings without quotation marks, and mapping types preserving key order.

[edit] XML and SDL

YAML lacks the notion of tag attributes that are found in XML and SDL. For data structure serialization, tag attributes are, arguably, a feature of questionable utility since the separation of data and meta-data adds complexity when represented by the natural data structures (hashes, arrays) in common languages. ^[9] Instead YAML has extensible type declarations (including class types for objects). YAML itself does not have XML's language-defined document schema descriptors that allow, for example, a document to self validate. However, a YAML schema descriptor language exists, and YAXML, which represents YAML data structures in XML, allows XML schema importers and output mechanisms like XSLT to be applied to YAML. Moreover, in typical use, the semantics provided by rich language-defined type-declarations in the YAML document itself eliminates the need for an additional validator.

[edit] Indented delimiting

Because YAML primarily relies on outline indentation for structure, it is especially resistant to delimiter collision. YAML's insensitivity to quotes and braces in scalar values means one may embed XML, SDL, JSON or even YAML documents inside a YAML document by simply indenting it in a block literal:

---
example: >
        HTML goes into YAML without modification
message:  |
        <font name='times' size=10>
         <p><i>"Three is always greater than
                two, even for large values of two"</i>
          </p><p>    --Author Unknown    </p></font>
date: 2007-06-01

Conversely, to place YAML in JSON requires quoting it, and escaping all interior quotes. YAML can be placed in SDL and XML by converting all whitespace and potential sigils (like <,> and &) to entity syntax. XML also provides a CDATA-section for this as well

[edit] Non-hierarchical data models

Unlike SDL, and JSON, which can only represent data in a hierarchical model with each child node having a single parent, YAML also offers a simple relational scheme that allows repeats of identical data to be referenced from two or more points in the tree rather than entered redundantly at those points. This is similar to the facility IDREF built into XML. ^[10] The YAML parser then expands these references into the fully populated data structures they imply when read in, so whatever program is using the parser does not have to be aware of a relational encoding model, unlike XML processors which do not expand references. This expansion can enhance readability while reducing data entry errors in configuration files or processing protocols where many parameters remain the same in a sequential series of records while only a few vary. An example being that "ship-to" and "bill-to" records in an invoice are nearly always the same data.

[edit] Practical considerations

YAML is line oriented and thus it is often simple to convert the unstructured output of existing programs into YAML format while having them retain much of the look of the original document. Because there are no close-tags, braces, or quotation marks to balance, it is generally easy to generate well-formed YAML directly from distributed print statements within unsophisticated programs. Likewise, the white space delimiters facilitate quick-and-dirty filtering of YAML files using the line oriented commands in grep, awk, perl, ruby, and python.

In particular, unlike mark-up languages, chunks of consecutive YAML lines tend to be well-formed YAML documents themselves. This makes it very easy to write parsers that do not have to process a document in its entirety (e.g. balancing open- and close-tags and navigating quoted and escaped characters) before they begin extracting specific records within. This property is particularly expedient when iterating in a single, stateless pass, over records in a file whose entire data structure is too large to hold in memory, or for which reconstituting the entire structure to extract one item would be prohibitively expensive.

Counterintuitively, although its indented delimiting might seem to complicate deeply nested hierarchies, YAML handles indents as small as a single space, and this may achieve better compression than markup languages. Additionally, extremely deep indentation can be avoided entirely by either: 1) reverting to "inline-style" (i.e JSON-like format) without the indentation; or 2) using relational anchors to unwind the hierarchy to a flat form that the YAML parser will transparently reconstitute into the full data structure.

[edit] Security

YAML is purely a data representation language and thus has no executable commands.^[11] This means that parsers will be (or at least should be) safe to apply to tainted data without fear of a latent command-injection security hole. For example, because JSON is native JavaScript it's tempting to use the JavaScript interpreter itself to evaluate the data structure into existence, leading to command injection holes when inadequately verified. While safe parsing is inherently possible in any data language, implementation is such a notorious pitfall that YAML's lack of an associated command language may be a relative security benefit.

[edit] Data processing and representation

The XML^[12][13] and YAML specifications^[14] provide very different logical models for data node representation, processing, and storage.

XML: The primary logical structures in an XML instance document are: 1) Element; and 2) Element attribute.^[15] For these primary logical structures, the base XML specification does not define constraints regarding such factors as duplication of elements or the order in which they are allowed to appear.^[16] In defining conformance for XML processors, the XML specification generalizes them into two types: 1) validating ; and 2) non-validating.^[17] The XML specification asserts no detailed definitions for: an API; processing model; or data representation model; although several are defined in separate specifications that a user or specification implementor may choose independently. These include the Document Object Model and XQuery.

A richer model for defining valid XML content is the W3C XML Schema standard^[18]. This allows for full specification of valid XML content and is supported by a wide range of open source, free and commercial processors and libraries.

YAML: The primary logical structures in a YAML instance document^[19] are: 1) Scalar; 2) Sequence; and 3) Mapping.^[20] The YAML specification also indicates some basic constraints that apply to these primary logical structures. For example, according to the specification, mapping keys do not have an order. In every case where node order is significant, a sequence must be used.^[21]

Moreover, in defining conformance for YAML processors, the YAML specification defines two primary operations: 1) Dump; and 2) Load. All YAML-compliant processors must provide at least one of these operations, and may optionally provide both.^[22] Finally, the YAML specification defines an information model or "representation graph" which must be created during processing for both Dump and Load operations, although this representation need not be made available to the user through an API.^[23]

[edit] Implementations

[edit] Portability

Simple YAML files (e.g. key value pairs) are readily parsed with regular expressions without resort to a formal YAML parser. YAML emitters and parsers for many popular languages written in the pure native language itself exist, making it portable in a self-contained manner. Bindings to C-libraries also exist when speed is needed.

[edit] C libraries

• libYAML As of 2007-06, this implementation of YAML 1.1 is stable and recommended by the YAML specification authors^[24] for production use (despite the 0.1.1 version number and a mild caution that the API is not barred from evolution.).
• SYCK This implementation supports most of YAML 1.0 specification and is in widespread use. It is optimized for use with higher level interpreted languages, obtaining speed by writing directly to the symbol table of the higher level language when it can. As of 2005 it is no longer maintained but remains available.

[edit] YAML Parser in C#

• YAML Parser An almost feature complete YAML Parser written in C#.

[edit] Bindings

Bindings for YAML exist for the following languages:

• Perl
  • YAML:: is a common interface to several YAML parsers.
  • YAML::Tiny implements a useful subset of YAML; small, pure Perl, and faster than the full implementation.
  • YAML::Syck Binding to SYCK C-library. Offers fast, highly featured YAML
  • YAML::XS Binding to LibYaml. Better yaml 1.1 compatibility.
• PHP
  • Spyc is a pure PHP implementation
  • PHP-Syck (binding to SYCK library)
  • sfYaml is a rewrite of Spyc for the symfony project, which can be used as a standalone YAML parser and emitter
• Python
  • PyYaml Highly featured. Pure Python or optionally uses LibYAML.
  • PySyck Binding to SYCK C-Library
• Ruby (YAML included in standard library since 1.8. based on SYCK)
  • Ya2YAML with full UTF-8 support
  • ZAML far faster than default library.
• Java
  • jvyaml based on Syck, and patterned off ruby-yaml
  • JYaml pure Java implementation
  • SnakeYAML port of PyYAML
• R
  • CRAN YAML based on SYCK
• JavaScript
  • Native JavaScript emits but does not read YAML
  • YAML JavaScript emitter (parser not implemented yet)
• .NET Framework
  • project page
• OCaml
  • OCaml-Syck
• C++
  • C++ wrapper for libYaml
• Objective-C
  • Cocoa-Syck
• Lua
  • Lua-Syck
• Haskell
  • Haskell Reference wrappers
• XML YAXML (currently draft only)

[edit] Pitfalls and implementation defects

• Editors:
  • An editor mode that autoexpands tabs to spaces and displays text in a fixed-width font is recommended. Tab expansion mismatch is a frequent pitfall when pasting text copied from webpages.
  • The editor needs to handle UTF-8 and UTF-16 correctly (otherwise, it will be necessary to use only ASCII as a subset of UTF-8).
• Strings:
  • YAML allows one to avoid quoted strings which can enhance readability and avoid the need for nested escape sequences. However, this leads to a pitfall when inline strings are ambiguous single words (e.g. digits or boolean words) or when the un-quoted phrase accidentally contains a YAML construct (e.g., a leading exclamation point or a colon-space after a word: "!Caca de vaca!" or "Caution: lions ahead"). This is not an issue that anyone using a proper YAML emitter will confront, but can come up in ad hoc scripts or human editing of files. In such a case a better approach is to use block literals ("|" or ">") rather than inline string expressions as these have no such ambiguities to resolve.
• Anticipating implementation idiosyncrasies:
  • Some implementations of YAML, such as Perl's YAML.pm will load an entire file (stream) and parse it en-masse. Conversely, YAML::Tiny only reads the first document in the stream and stops. Other implementations like PyYaml are lazy and iterate over the next document only upon request. For very large files in which one plans to handle the documents independently, instantiating the entire file before processing may be prohibitive. Thus in YAML.pm, occasionally one must chunk a file into documents and parse those individually. Fortunately, YAML makes this easy since this simply requires splitting on the document separator, m/^---/.

[edit] See also

Other simplified markup languages include:

• AsciiDoc
• JSON, which is almost a subset of YAML
• List of lightweight markup languages
• OGDL
• Plist, the object serialization format from NEXTSTEP.
• S-expressions
• SDL
• Simple Outline XML

[edit] Notes and references

[edit] External links

• YAML.org
• YAML Specification
• YAML Cookbook--Equivalent data structures in YAML and Ruby
• YAML in Five Minutes
• YAML improves on XML Intro to YAML in Python
• YAML as a superset of JSON
• Kwalify Schema definition for YAML
• Lists in 5 minutes